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"description": "The configuration model for the Vector DB based destinations. This model is used to generate the UI for the destination configuration,\nas well as to provide type safety for the configuration passed to the destination.\n\nThe configuration model is composed of four parts:\n* Processing configuration\n* Embedding configuration\n* Indexing configuration\n* Advanced configuration\n\nProcessing, embedding and advanced configuration are provided by this base class, while the indexing configuration is provided by the destination connector in the sub class.",
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],
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{
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"properties": {
"mode": {
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"default": "openai",
"enum": [
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"type": "object"
},
{
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"airbyte_secret": true,
"title": "Cohere API key",
"type": "string"
},
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"enum": [
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],
"title": "Mode",
"type": "string"
}
},
"required": [
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],
"title": "Cohere",
"type": "object"
},
{
"description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.",
"properties": {
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"const": "fake",
"default": "fake",
"enum": [
"fake"
],
"title": "Mode",
"type": "string"
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],
"title": "Fake",
"type": "object"
},
{
"description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"api_base": {
"description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"https://your-resource-name.openai.azure.com"
],
"title": "Resource base URL",
"type": "string"
},
"deployment": {
"description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"your-resource-name"
],
"title": "Deployment",
"type": "string"
},
"mode": {
"const": "azure_openai",
"default": "azure_openai",
"enum": [
"azure_openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"description": "The API key for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"title": "Azure OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"api_base",
"deployment",
"mode"
],
"title": "Azure OpenAI",
"type": "object"
},
{
"description": "Use a service that's compatible with the OpenAI API to embed text.",
"properties": {
"api_key": {
"airbyte_secret": true,
"default": "",
"title": "API key",
"type": "string"
},
"base_url": {
"description": "The base URL for your OpenAI-compatible service",
"examples": [
"https://your-service-name.com"
],
"title": "Base URL",
"type": "string"
},
"dimensions": {
"description": "The number of dimensions the embedding model is generating",
"examples": [
1536,
384
],
"title": "Embedding dimensions",
"type": "integer"
},
"mode": {
"const": "openai_compatible",
"default": "openai_compatible",
"enum": [
"openai_compatible"
],
"title": "Mode",
"type": "string"
},
"model_name": {
"default": "text-embedding-ada-002",
"description": "The name of the model to use for embedding",
"examples": [
"text-embedding-ada-002"
],
"title": "Model name",
"type": "string"
}
},
"required": [
"base_url",
"dimensions",
"mode"
],
"title": "OpenAI-compatible",
"type": "object"
}
],
"title": "Embedding",
"type": "object"
},
"indexing": {
"description": "Astra DB gives developers the APIs, real-time data and ecosystem integrations to put accurate RAG and Gen AI apps with fewer hallucinations in production.",
"group": "indexing",
"properties": {
"astra_db_app_token": {
"airbyte_secret": true,
"description": "The application token authorizes a user to connect to a specific Astra DB database. It is created when the user clicks the Generate Token button on the Overview tab of the Database page in the Astra UI.",
"title": "Astra DB Application Token",
"type": "string"
},
"astra_db_endpoint": {
"description": "The endpoint specifies which Astra DB database queries are sent to. It can be copied from the Database Details section of the Overview tab of the Database page in the Astra UI.",
"examples": [
"https://8292d414-dd1b-4c33-8431-e838bedc04f7-us-east1.apps.astra.datastax.com"
],
"pattern": "^https:\\/\\/([a-z]|[0-9]){8}-([a-z]|[0-9]){4}-([a-z]|[0-9]){4}-([a-z]|[0-9]){4}-([a-z]|[0-9]){12}-[^\\.]*?\\.apps\\.astra\\.datastax\\.com",
"title": "Astra DB Endpoint",
"type": "string"
},
"astra_db_keyspace": {
"description": "Keyspaces (or Namespaces) serve as containers for organizing data within a database. You can create a new keyspace uisng the Data Explorer tab in the Astra UI. The keyspace default_keyspace is created for you when you create a Vector Database in Astra DB.",
"title": "Astra DB Keyspace",
"type": "string"
},
"collection": {
"description": "Collections hold data. They are analagous to tables in traditional Cassandra terminology. This tool will create the collection with the provided name automatically if it does not already exist. Alternatively, you can create one thorugh the Data Explorer tab in the Astra UI.",
"title": "Astra DB collection",
"type": "string"
}
},
"required": [
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"astra_db_endpoint",
"astra_db_keyspace",
"collection"
],
"title": "Indexing",
"type": "object"
},
"omit_raw_text": {
"default": false,
"description": "Do not store the text that gets embedded along with the vector and the metadata in the destination. If set to true, only the vector and the metadata will be stored - in this case raw text for LLM use cases needs to be retrieved from another source.",
"group": "advanced",
"title": "Do not store raw text",
"type": "boolean"
},
"processing": {
"group": "processing",
"properties": {
"chunk_overlap": {
"default": 0,
"description": "Size of overlap between chunks in tokens to store in vector store to better capture relevant context",
"title": "Chunk overlap",
"type": "integer"
},
"chunk_size": {
"description": "Size of chunks in tokens to store in vector store (make sure it is not too big for the context if your LLM)",
"maximum": 8191,
"minimum": 1,
"title": "Chunk size",
"type": "integer"
},
"field_name_mappings": {
"default": [],
"description": "List of fields to rename. Not applicable for nested fields, but can be used to rename fields already flattened via dot notation.",
"items": {
"properties": {
"from_field": {
"description": "The field name in the source",
"title": "From field name",
"type": "string"
},
"to_field": {
"description": "The field name to use in the destination",
"title": "To field name",
"type": "string"
}
},
"required": [
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"to_field"
],
"title": "FieldNameMappingConfigModel",
"type": "object"
},
"title": "Field name mappings",
"type": "array"
},
"metadata_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.",
"examples": [
"age",
"user",
"user.name"
],
"items": {
"type": "string"
},
"title": "Fields to store as metadata",
"type": "array"
},
"text_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be used to calculate the embedding. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.",
"examples": [
"text",
"user.name",
"users.*.name"
],
"items": {
"type": "string"
},
"title": "Text fields to embed",
"type": "array"
},
"text_splitter": {
"description": "Split text fields into chunks based on the specified method.",
"oneOf": [
{
"description": "Split the text by the list of separators until the chunk size is reached, using the earlier mentioned separators where possible. This is useful for splitting text fields by paragraphs, sentences, words, etc.",
"properties": {
"keep_separator": {
"default": false,
"description": "Whether to keep the separator in the resulting chunks",
"title": "Keep separator",
"type": "boolean"
},
"mode": {
"const": "separator",
"default": "separator",
"enum": [
"separator"
],
"title": "Mode",
"type": "string"
},
"separators": {
"default": [
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"\"\\n\"",
"\" \"",
"\"\""
],
"description": "List of separator strings to split text fields by. The separator itself needs to be wrapped in double quotes, e.g. to split by the dot character, use \".\". To split by a newline, use \"\\n\".",
"items": {
"type": "string"
},
"title": "Separators",
"type": "array"
}
},
"required": [
"mode"
],
"title": "By Separator",
"type": "object"
},
{
"description": "Split the text by Markdown headers down to the specified header level. If the chunk size fits multiple sections, they will be combined into a single chunk.",
"properties": {
"mode": {
"const": "markdown",
"default": "markdown",
"enum": [
"markdown"
],
"title": "Mode",
"type": "string"
},
"split_level": {
"default": 1,
"description": "Level of markdown headers to split text fields by. Headings down to the specified level will be used as split points",
"maximum": 6,
"minimum": 1,
"title": "Split level",
"type": "integer"
}
},
"required": [
"mode"
],
"title": "By Markdown header",
"type": "object"
},
{
"description": "Split the text by suitable delimiters based on the programming language. This is useful for splitting code into chunks.",
"properties": {
"language": {
"description": "Split code in suitable places based on the programming language",
"enum": [
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"ruby",
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"sol"
],
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"type": "string"
},
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"default": "code",
"enum": [
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],
"title": "Mode",
"type": "string"
}
},
"required": [
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"mode"
],
"title": "By Programming Language",
"type": "object"
}
],
"title": "Text splitter",
"type": "object"
}
},
"required": [
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],
"title": "ProcessingConfigModel",
"type": "object"
}
},
"required": [
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],
"title": "Destination Config",
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},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/astra",
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},
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"tags": [
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],
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},
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"generated": {
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},
"githubIssueLabel": "destination-aws-datalake",
"icon": "awsdatalake.svg",
"language": "python",
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"name": "AWS Datalake",
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"spec": {
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"$schema": "http://json-schema.org/draft-07/schema#",
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"examples": [
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],
"order": 1,
"title": "AWS Account Id",
"type": "string"
},
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"description": "The name of the S3 bucket. Read more here.",
"order": 4,
"title": "S3 Bucket Name",
"type": "string"
},
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"description": "S3 prefix",
"order": 5,
"title": "Target S3 Bucket Prefix",
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},
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"oneOf": [
{
"properties": {
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"default": "IAM Role",
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],
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},
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}
},
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],
"title": "IAM Role",
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},
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},
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"description": "Secret Access Key",
"title": "Secret Access Key",
"type": "string"
},
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"const": "IAM User",
"default": "IAM User",
"description": "Name of the credentials",
"enum": [
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],
"order": 0,
"title": "Credentials Title",
"type": "string"
}
},
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],
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],
"order": 2,
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"type": "object"
},
"format": {
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"oneOf": [
{
"properties": {
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"default": "UNCOMPRESSED",
"description": "The compression algorithm used to compress data.",
"enum": [
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"GZIP"
],
"title": "Compression Codec (Optional)",
"type": "string"
},
"format_type": {
"default": "JSONL",
"enum": [
"JSONL"
],
"title": "Format Type *",
"type": "string"
}
},
"required": [
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],
"title": "JSON Lines: Newline-delimited JSON"
},
{
"properties": {
"compression_codec": {
"default": "SNAPPY",
"description": "The compression algorithm used to compress data.",
"enum": [
"UNCOMPRESSED",
"SNAPPY",
"GZIP",
"ZSTD"
],
"title": "Compression Codec (Optional)",
"type": "string"
},
"format_type": {
"default": "Parquet",
"enum": [
"Parquet"
],
"title": "Format Type *",
"type": "string"
}
},
"required": [
"format_type"
],
"title": "Parquet: Columnar Storage"
}
],
"order": 10,
"title": "Output Format *",
"type": "object"
},
"glue_catalog_float_as_decimal": {
"default": false,
"description": "Cast float/double as decimal(38,18). This can help achieve higher accuracy and represent numbers correctly as received from the source.",
"order": 12,
"title": "Glue Catalog: Float as Decimal",
"type": "boolean"
},
"lakeformation_database_default_tag_key": {
"description": "Add a default tag key to databases created by this destination",
"examples": [
"pii_level"
],
"order": 7,
"title": "Lake Formation Database Tag Key",
"type": "string"
},
"lakeformation_database_default_tag_values": {
"description": "Add default values for the `Tag Key` to databases created by this destination. Comma separate for multiple values.",
"examples": [
"private,public"
],
"order": 8,
"title": "Lake Formation Database Tag Values",
"type": "string"
},
"lakeformation_database_name": {
"description": "The default database this destination will use to create tables in per stream. Can be changed per connection by customizing the namespace.",
"order": 6,
"title": "Lake Formation Database Name",
"type": "string"
},
"lakeformation_governed_tables": {
"default": false,
"description": "Whether to create tables as LF governed tables.",
"order": 9,
"title": "Lake Formation Governed Tables",
"type": "boolean"
},
"partitioning": {
"default": "NO PARTITIONING",
"description": "Partition data by cursor fields when a cursor field is a date",
"enum": [
"NO PARTITIONING",
"DATE",
"YEAR",
"MONTH",
"DAY",
"YEAR/MONTH",
"YEAR/MONTH/DAY"
],
"order": 11,
"title": "Choose how to partition data",
"type": "string"
},
"region": {
"default": "",
"description": "The region of the S3 bucket. See here for all region codes.",
"enum": [
"",
"af-south-1",
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-central-2",
"eu-north-1",
"eu-south-1",
"eu-south-2",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"il-central-1",
"me-central-1",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
],
"order": 3,
"title": "S3 Bucket Region",
"type": "string"
}
},
"required": [
"credentials",
"region",
"bucket_name",
"lakeformation_database_name"
],
"title": "AWS Datalake Destination Spec",
"type": "object"
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}
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{
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},
{
"title": "Google Cloud Status",
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{
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},
{
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}
],
"generated": {
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"url": "https://cloud.google.com/iam/docs/service-accounts"
},
{
"title": "Access control",
"type": "permissions_scopes",
"url": "https://cloud.google.com/storage/docs/access-control"
},
{
"title": "Quotas and limits",
"type": "rate_limits",
"url": "https://cloud.google.com/storage/quotas"
},
{
"title": "Google Cloud Status",
"type": "status_page",
"url": "https://status.cloud.google.com/"
},
{
"title": "Google Cloud Release Notes",
"type": "api_release_history",
"url": "https://cloud.google.com/release-notes"
}
],
"generated": {
"git": {
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"commit_author_email": "aj@airbyte.io",
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"description": "An HMAC key is a type of credential and can be associated with a service account or a user account in Cloud Storage. Read more here.",
"oneOf": [
{
"properties": {
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"enum": [
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{
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}
},
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],
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{
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],
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}
},
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],
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},
{
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"enum": [
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],
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"description": "The presets 0-3 are fast presets with medium compression. The presets 4-6 are fairly slow presets with high compression. The default preset is 6. The presets 7-9 are like the preset 6 but use bigger dictionaries and have higher compressor and decompressor memory requirements. Unless the uncompressed size of the file exceeds 8 MiB, 16 MiB, or 32 MiB, it is waste of memory to use the presets 7, 8, or 9, respectively. Read more here for details.",
"maximum": 9,
"minimum": 0,
"title": "Compression Level",
"type": "integer"
}
},
"required": [
"codec"
],
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},
{
"properties": {
"codec": {
"default": "zstandard",
"enum": [
"zstandard"
],
"type": "string"
},
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"description": "Negative levels are 'fast' modes akin to lz4 or snappy, levels above 9 are generally for archival purposes, and levels above 18 use a lot of memory.",
"maximum": 22,
"minimum": -5,
"title": "Compression Level",
"type": "integer"
},
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}
},
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],
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},
{
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],
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}
},
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],
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}
],
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},
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],
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}
},
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"compression_codec"
],
"title": "Avro: Apache Avro"
},
{
"properties": {
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"description": "Whether the output files should be compressed. If compression is selected, the output filename will have an extra extension (GZIP: \".csv.gz\").",
"oneOf": [
{
"properties": {
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"default": "No Compression",
"enum": [
"No Compression"
],
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}
},
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],
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},
{
"properties": {
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"default": "GZIP",
"enum": [
"GZIP"
],
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}
},
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],
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}
],
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"type": "object"
},
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],
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},
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],
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}
},
"required": [
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],
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},
{
"properties": {
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"description": "Whether the output files should be compressed. If compression is selected, the output filename will have an extra extension (GZIP: \".jsonl.gz\").",
"oneOf": [
{
"properties": {
"compression_type": {
"default": "No Compression",
"enum": [
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],
"type": "string"
}
},
"requires": "compression_type",
"title": "No Compression"
},
{
"properties": {
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"default": "GZIP",
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],
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}
},
"requires": "compression_type",
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}
],
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},
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"JSONL"
],
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}
},
"required": [
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],
"title": "JSON Lines: newline-delimited JSON"
},
{
"properties": {
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"description": "This is the size of a row group being buffered in memory. It limits the memory usage when writing. Larger values will improve the IO when reading, but consume more memory when writing. Default: 128 MB.",
"examples": [
128
],
"title": "Block Size (Row Group Size) (MB)",
"type": "integer"
},
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"SNAPPY",
"GZIP",
"LZO",
"BROTLI",
"LZ4",
"ZSTD"
],
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},
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"description": "Default: true.",
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},
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"examples": [
1024
],
"title": "Dictionary Page Size (KB)",
"type": "integer"
},
"format_type": {
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"enum": [
"Parquet"
],
"type": "string"
},
"max_padding_size_mb": {
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"description": "Maximum size allowed as padding to align row groups. This is also the minimum size of a row group. Default: 8 MB.",
"examples": [
8
],
"title": "Max Padding Size (MB)",
"type": "integer"
},
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"description": "The page size is for compression. A block is composed of pages. A page is the smallest unit that must be read fully to access a single record. If this value is too small, the compression will deteriorate. Default: 1024 KB.",
"examples": [
1024
],
"title": "Page Size (KB)",
"type": "integer"
}
},
"required": [
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],
"title": "Parquet: Columnar Storage"
}
],
"order": 4,
"title": "Output Format",
"type": "object"
},
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"description": "You can find the bucket name in the App Engine Admin console Application Settings page, under the label Google Cloud Storage Bucket. Read more here.",
"examples": [
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],
"order": 1,
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},
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"description": "GCS Bucket Path string Subdirectory under the above bucket to sync the data into.",
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],
"order": 2,
"title": "GCS Bucket Path",
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},
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"us-east4",
"us-west1",
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"us-west4",
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"southamerica-west1",
"europe-central2",
"europe-north1",
"europe-west1",
"europe-west2",
"europe-west3",
"europe-west4",
"europe-west6",
"asia-east1",
"asia-east2",
"asia-northeast1",
"asia-northeast2",
"asia-northeast3",
"asia-south1",
"asia-south2",
"asia-southeast1",
"asia-southeast2",
"australia-southeast1",
"australia-southeast2",
"asia",
"eu",
"us",
"asia1",
"eur4",
"nam4"
],
"order": 3,
"title": "GCS Bucket Region",
"type": "string"
}
},
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"gcs_bucket_path",
"credential",
"format"
],
"title": "GCS Destination Spec",
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},
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{
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"url": "https://cloud.google.com/iam/docs/service-accounts"
},
{
"title": "Access control",
"type": "permissions_scopes",
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"default"
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"order": 1,
"title": "Catalog Name",
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],
"order": 3,
"title": "Client ID",
"type": "string"
},
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"examples": [
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],
"order": 4,
"title": "Client Secret",
"type": "string"
},
"server_uri": {
"description": "The base URL of the Polaris server. For example: http://localhost:8181/api/catalog",
"order": 1,
"title": "Polaris Server URI",
"type": "string"
}
},
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"server_uri",
"catalog_name",
"client_id",
"client_secret"
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],
"order": 7,
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"us-central1",
"eu"
],
"order": 3,
"title": "GCP Location",
"type": "string"
},
"gcp_project_id": {
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"order": 2,
"title": "GCP Project ID",
"type": "string"
},
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"order": 0,
"title": "GCS Bucket Name",
"type": "string"
},
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"description": "Optional custom GCS endpoint URL. Use this for testing with local GCS emulators.",
"order": 8,
"title": "GCS Endpoint (Optional)",
"type": "string"
},
"main_branch_name": {
"description": "The primary or default branch name in the catalog. Most query engines will use \"main\" by default. See Iceberg documentation for more information.",
"order": 5,
"title": "Main Branch Name",
"type": "string"
},
"namespace": {
"description": "The default namespace to use for tables. This will ONLY be used if the `Destination Namespace` setting is set to `Destination-defined` or `Source-defined`",
"examples": [
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"airbyte_data"
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"order": 6,
"title": "Default Namespace",
"type": "string"
},
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"always_show": true,
"description": "The contents of the JSON service account key file. See the Google Cloud documentation for more information on how to obtain this.",
"multiline": true,
"order": 1,
"title": "Service Account JSON",
"type": "string"
},
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"description": "The root location of the data warehouse used by the Iceberg catalog. Must include the storage protocol \"gs://\" for Google Cloud Storage. For example: \"gs://your-bucket/path/to/warehouse/",
"examples": [
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],
"order": 4,
"title": "Warehouse Location",
"type": "string"
}
},
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},
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"oauth_config_specification": {
"complete_oauth_output_specification": {
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
}
}
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"credentials": {
"description": "Authentication method to access Google Sheets",
"oneOf": [
{
"properties": {
"auth_type": {
"const": "oauth2.0",
"default": "oauth2.0",
"order": 0,
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The Client ID of your Google Sheets developer application.",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The Client Secret of your Google Sheets developer application.",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The token for obtaining new access token.",
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"auth_type",
"client_id",
"client_secret",
"refresh_token"
],
"title": "Authenticate via Google (OAuth)",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "service",
"default": "service",
"order": 0,
"type": "string"
},
"service_account_info": {
"airbyte_secret": true,
"description": "Enter your service account key in JSON format. See the docs for more information on how to generate this key.",
"title": "Service Account Information",
"type": "string"
}
},
"required": [
"auth_type",
"service_account_info"
],
"title": "Service Account Key Authentication",
"type": "object"
}
],
"title": "Authentication",
"type": "object"
},
"spreadsheet_id": {
"description": "The link to your spreadsheet. See this guide for more details.",
"examples": [
"https://docs.google.com/spreadsheets/d/1hLd9Qqti3UyLXZB2aFfUWDT7BG/edit"
],
"title": "Spreadsheet Link",
"type": "string"
}
},
"required": [
"spreadsheet_id",
"credentials"
],
"title": "Destination Google Sheets",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/google-sheets",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsIncremental": true
},
"supportLevel": "community",
"supportsFileTransfer": false,
"supportsRefreshes": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"allowedHosts": {
"hosts": [
"api.hubapi.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/java-connector-base:2.0.1@sha256:ec89bd1a89e825514dd2fc8730ba299a3ae1544580a078df0e35c5202c2085b3"
},
"custom": false,
"destinationDefinitionId": "c8ccd253-8525-4bbd-801c-f0b84ac71f61",
"dockerImageTag": "0.0.11",
"dockerRepository": "airbyte/destination-hubspot",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/hubspot",
"externalDocumentationUrls": [
{
"title": "HubSpot API documentation",
"type": "api_reference",
"url": "https://developers.hubspot.com/docs/api/overview"
},
{
"title": "HubSpot Developer Changelog",
"type": "api_release_history",
"url": "https://developers.hubspot.com/changelog"
},
{
"title": "OAuth",
"type": "authentication_guide",
"url": "https://developers.hubspot.com/docs/api/oauth-quickstart-guide"
},
{
"title": "Rate limits",
"type": "rate_limits",
"url": "https://developers.hubspot.com/docs/api/usage-details"
},
{
"title": "HubSpot Status",
"type": "status_page",
"url": "https://status.hubspot.com/"
}
],
"generated": {
"git": {
"commit_author": "Pedro S. Lopez",
"commit_author_email": "pedroslopez@me.com",
"commit_sha": "ba00c925fb880c00e58f68c10f0f08eacdf0b1e4",
"commit_timestamp": "2026-04-14T20:55:35-04:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-hubspot/0.0.11.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-hubspot/latest/metadata.yaml",
"metadata_last_modified": "2026-04-15T01:01:10.664420+00:00",
"registry_entry_generated_at": "2026-04-15T01:01:10.664420+00:00"
}
},
"githubIssueLabel": "destination-hubspot",
"icon": "hubspot.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-hubspot/latest/icon.svg",
"language": "java",
"license": "MIT",
"name": "HubSpot",
"packageInfo": {},
"public": true,
"releaseStage": "alpha",
"releases": {},
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"path_in_oauth_response": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_connector_input_specification": {
"access_token_headers": {
"Content-Type": "application/x-www-form-urlencoded"
},
"access_token_params": {
"client_id": "{{ client_id_value }}",
"client_secret": "{{ client_secret_value }}",
"code": "{{ auth_code_value }}",
"grant_type": "authorization_code",
"redirect_uri": "{{ redirect_uri_value }}"
},
"access_token_url": "https://api.hubapi.com/oauth/v1/token",
"consent_url": "https://app.hubspot.com/oauth/authorize?{{ client_id_key }}={{ client_id_value }}&{{ redirect_uri_key }}={{ redirect_uri_value | urlencode }}&{{ scope_key }}={{ scope_value | urlencode }}&optional_scope={{ optional_scope | urlencode }}&{{ state_key }}={{ state_value }}&code_challenge={{ state_value | codechallengeS256 }}",
"extract_output": [
"access_token",
"refresh_token",
"expires_in"
],
"optional_scope": "crm.objects.appointments.write crm.objects.carts.write crm.objects.commercepayments.write crm.objects.companies.write crm.objects.contacts.write crm.objects.courses.write crm.objects.custom.write crm.objects.deals.write crm.objects.invoices.write crm.objects.listings.write crm.objects.orders.write crm.objects.products.write crm.objects.services.write crm.objects.subscriptions.write",
"scope": "crm.schemas.appointments.read crm.schemas.carts.read crm.schemas.commercepayments.read crm.schemas.companies.read crm.schemas.contacts.read crm.schemas.courses.read crm.schemas.custom.read crm.schemas.deals.read crm.schemas.invoices.read crm.schemas.listings.read crm.schemas.orders.read crm.schemas.services.read crm.schemas.subscriptions.read"
}
},
"predicate_key": [
"credentials",
"type"
],
"predicate_value": "OAuth"
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"credentials": {
"description": "Choose how to authenticate to HubSpot.",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"client_id": {
"airbyte_secret": true,
"description": "The Client ID of your HubSpot developer application. See the Hubspot docs if you need help finding this ID.",
"order": 0,
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The client secret for your HubSpot developer application. See the Hubspot docs if you need help finding this secret.",
"order": 1,
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh token to renew an expired access token. See the Hubspot docs if you need help finding this token.",
"order": 2,
"title": "Refresh Token",
"type": "string"
},
"type": {
"default": "OAuth",
"enum": [
"OAuth"
],
"type": "string"
}
},
"required": [
"type",
"client_id",
"client_secret",
"refresh_token"
],
"title": "OAuth",
"type": "object"
}
],
"order": 0,
"title": "Credentials",
"type": "object"
},
"object_storage_config": {
"oneOf": [
{
"additionalProperties": true,
"properties": {
"storage_type": {
"default": "None",
"enum": [
"None"
],
"type": "string"
}
},
"required": [
"storage_type"
],
"title": "None",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"access_key_id": {
"airbyte_secret": true,
"always_show": true,
"description": "The access key ID to access the S3 bucket. Airbyte requires Read and Write permissions to the given bucket. Read more here.",
"examples": [
"A012345678910EXAMPLE"
],
"order": 1,
"title": "Access Key ID",
"type": "string"
},
"bucket_path": {
"description": "All files in the bucket will be prefixed by this.",
"examples": [
"prefix/"
],
"order": 7,
"title": "Prefix Path in the Bucket",
"type": "string"
},
"compression": {
"airbyte_hidden": true,
"description": "Whether the output files should be compressed. If compression is selected, the output filename will have an extra extension (GZIP: \".jsonl.gz\").",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "No Compression",
"enum": [
"No Compression"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "No Compression",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "GZIP",
"enum": [
"GZIP"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "GZIP",
"type": "object"
}
],
"title": "Compression",
"type": "object"
},
"file_name_format": {
"airbyte_hidden": true,
"default": "{date}_{timestamp}_{part_number}{format_extension}",
"examples": [
"{date}",
"{date:yyyy_MM}",
"{timestamp}",
"{part_number}",
"{sync_id}"
],
"order": 11,
"type": "string"
},
"format": {
"airbyte_hidden": true,
"default": "CSV",
"description": "Format of the data output.",
"examples": [
"CSV",
"JSONL"
],
"oneOf": [
{
"additionalProperties": true,
"properties": {
"flattening": {
"default": "No flattening",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "CSV",
"enum": [
"CSV"
],
"type": "string"
}
},
"required": [
"format_type",
"flattening"
],
"title": "CSV: Comma-Separated Values",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"flattening": {
"default": "No flattening",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "JSONL",
"enum": [
"JSONL"
],
"type": "string"
}
},
"required": [
"format_type"
],
"title": "JSON Lines: Newline-delimited JSON",
"type": "object"
}
],
"order": 8,
"title": "Output Format",
"type": "object"
},
"path_format": {
"airbyte_hidden": true,
"default": "{sync_id}/{namespace}/{stream_name}/",
"examples": [
"{namespace}/{stream_name}/{year}_{month}_{day}_{epoch}"
],
"order": 10,
"type": "string"
},
"role_arn": {
"description": "The ARN of the AWS role to assume. Only usable in Airbyte Cloud.",
"examples": [
"arn:aws:iam::123456789:role/ExternalIdIsYourWorkspaceId"
],
"order": 3,
"title": "Role ARN",
"type": "string"
},
"s3_bucket_name": {
"description": "The name of the S3 bucket. Read more here.",
"examples": [
"airbyte_sync"
],
"order": 4,
"title": "S3 Bucket Name",
"type": "string"
},
"s3_bucket_region": {
"default": "",
"description": "The region of the S3 bucket. See here for all region codes.",
"enum": [
"",
"af-south-1",
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-central-2",
"eu-north-1",
"eu-south-1",
"eu-south-2",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"il-central-1",
"me-central-1",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
],
"examples": [
"us-east-1"
],
"order": 5,
"title": "S3 Bucket Region",
"type": "string"
},
"s3_endpoint": {
"description": "Your S3 endpoint url. Read more here",
"examples": [
"http://localhost:9000"
],
"order": 6,
"title": "S3 Endpoint",
"type": "string"
},
"secret_access_key": {
"airbyte_secret": true,
"always_show": true,
"description": "The corresponding secret to the access key ID. Read more here",
"examples": [
"a012345678910ABCDEFGH/AbCdEfGhEXAMPLEKEY"
],
"order": 2,
"title": "Secret Access Key",
"type": "string"
},
"storage_type": {
"default": "S3",
"enum": [
"S3"
],
"type": "string"
}
},
"required": [
"storage_type",
"s3_bucket_name",
"s3_bucket_region",
"bucket_path",
"format"
],
"title": "S3",
"type": "object"
}
],
"title": "Object Storage Configuration",
"type": "object"
}
},
"required": [
"credentials"
],
"title": "Hub Spot Specification",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/hubspot",
"supported_destination_sync_modes": [
"append"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": true,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 300,
"requireVersionIncrementsInPullRequests": true,
"sl": 300
},
"allowedHosts": {
"hosts": [
"${indexing.host}",
"api.openai.com",
"api.cohere.ai",
"${embedding.api_base}"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.2@sha256:9fdb1888c4264cf6fee473649ecb593f56f58e5d0096a87ee0b231777e2e3e73"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-MILVUS_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-MILVUS_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "65de8962-48c9-11ee-be56-0242ac120002",
"dockerImageTag": "0.0.58",
"dockerRepository": "airbyte/destination-milvus",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/milvus",
"externalDocumentationUrls": [
{
"title": "Milvus documentation",
"type": "api_reference",
"url": "https://milvus.io/docs"
},
{
"title": "Release notes",
"type": "api_release_history",
"url": "https://milvus.io/docs/release_notes.md"
},
{
"title": "Authentication",
"type": "authentication_guide",
"url": "https://milvus.io/docs/authenticate.md"
}
],
"generated": {
"git": {
"commit_author": "Aaron (\"AJ\") Steers",
"commit_author_email": "aj@airbyte.io",
"commit_sha": "c343b133c7de7b28e421af8fbe2473c0f0bdd9c2",
"commit_timestamp": "2026-03-30T20:36:32-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-milvus/0.0.58.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-milvus/latest/metadata.yaml",
"metadata_last_modified": "2026-03-31T03:44:55.010258+00:00",
"registry_entry_generated_at": "2026-03-31T03:44:55.010258+00:00"
}
},
"githubIssueLabel": "destination-milvus",
"icon": "milvus.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-milvus/latest/icon.svg",
"language": "python",
"license": "ELv2",
"name": "Milvus",
"packageInfo": {
"cdk_version": "python:0.81.6"
},
"public": true,
"releaseDate": "2023-08-15",
"releaseStage": "alpha",
"releases": {},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "sync",
"resourceRequirements": {
"memory_limit": "2Gi",
"memory_request": "2Gi"
}
}
]
},
"sourceType": "vectorstore",
"spec": {
"connectionSpecification": {
"description": "The configuration model for the Vector DB based destinations. This model is used to generate the UI for the destination configuration,\nas well as to provide type safety for the configuration passed to the destination.\n\nThe configuration model is composed of four parts:\n* Processing configuration\n* Embedding configuration\n* Indexing configuration\n* Advanced configuration\n\nProcessing, embedding and advanced configuration are provided by this base class, while the indexing configuration is provided by the destination connector in the sub class.",
"groups": [
{
"id": "processing",
"title": "Processing"
},
{
"id": "embedding",
"title": "Embedding"
},
{
"id": "indexing",
"title": "Indexing"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"embedding": {
"description": "Embedding configuration",
"group": "embedding",
"oneOf": [
{
"description": "Use the OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"mode": {
"const": "openai",
"default": "openai",
"enum": [
"openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"title": "OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"mode"
],
"title": "OpenAI",
"type": "object"
},
{
"description": "Use the Cohere API to embed text.",
"properties": {
"cohere_key": {
"airbyte_secret": true,
"title": "Cohere API key",
"type": "string"
},
"mode": {
"const": "cohere",
"default": "cohere",
"enum": [
"cohere"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"cohere_key",
"mode"
],
"title": "Cohere",
"type": "object"
},
{
"description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.",
"properties": {
"mode": {
"const": "fake",
"default": "fake",
"enum": [
"fake"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Fake",
"type": "object"
},
{
"description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"api_base": {
"description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"https://your-resource-name.openai.azure.com"
],
"title": "Resource base URL",
"type": "string"
},
"deployment": {
"description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"your-resource-name"
],
"title": "Deployment",
"type": "string"
},
"mode": {
"const": "azure_openai",
"default": "azure_openai",
"enum": [
"azure_openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"description": "The API key for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"title": "Azure OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"api_base",
"deployment",
"mode"
],
"title": "Azure OpenAI",
"type": "object"
},
{
"description": "Use a service that's compatible with the OpenAI API to embed text.",
"properties": {
"api_key": {
"airbyte_secret": true,
"default": "",
"title": "API key",
"type": "string"
},
"base_url": {
"description": "The base URL for your OpenAI-compatible service",
"examples": [
"https://your-service-name.com"
],
"title": "Base URL",
"type": "string"
},
"dimensions": {
"description": "The number of dimensions the embedding model is generating",
"examples": [
1536,
384
],
"title": "Embedding dimensions",
"type": "integer"
},
"mode": {
"const": "openai_compatible",
"default": "openai_compatible",
"enum": [
"openai_compatible"
],
"title": "Mode",
"type": "string"
},
"model_name": {
"default": "text-embedding-ada-002",
"description": "The name of the model to use for embedding",
"examples": [
"text-embedding-ada-002"
],
"title": "Model name",
"type": "string"
}
},
"required": [
"base_url",
"dimensions",
"mode"
],
"title": "OpenAI-compatible",
"type": "object"
}
],
"title": "Embedding",
"type": "object"
},
"indexing": {
"description": "Indexing configuration",
"group": "indexing",
"properties": {
"auth": {
"description": "Authentication method",
"oneOf": [
{
"description": "Authenticate using an API token (suitable for Zilliz Cloud)",
"properties": {
"mode": {
"const": "token",
"default": "token",
"enum": [
"token"
],
"title": "Mode",
"type": "string"
},
"token": {
"airbyte_secret": true,
"description": "API Token for the Milvus instance",
"title": "API Token",
"type": "string"
}
},
"required": [
"token",
"mode"
],
"title": "API Token",
"type": "object"
},
{
"description": "Authenticate using username and password (suitable for self-managed Milvus clusters)",
"properties": {
"mode": {
"const": "username_password",
"default": "username_password",
"enum": [
"username_password"
],
"title": "Mode",
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "Password for the Milvus instance",
"order": 2,
"title": "Password",
"type": "string"
},
"username": {
"description": "Username for the Milvus instance",
"order": 1,
"title": "Username",
"type": "string"
}
},
"required": [
"username",
"password",
"mode"
],
"title": "Username/Password",
"type": "object"
},
{
"description": "Do not authenticate (suitable for locally running test clusters, do not use for clusters with public IP addresses)",
"properties": {
"mode": {
"const": "no_auth",
"default": "no_auth",
"enum": [
"no_auth"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "No auth",
"type": "object"
}
],
"order": 2,
"title": "Authentication",
"type": "object"
},
"collection": {
"description": "The collection to load data into",
"order": 3,
"title": "Collection Name",
"type": "string"
},
"db": {
"default": "",
"description": "The database to connect to",
"title": "Database Name",
"type": "string"
},
"host": {
"description": "The public endpoint of the Milvus instance. ",
"examples": [
"https://my-instance.zone.zillizcloud.com",
"tcp://host.docker.internal:19530",
"tcp://my-local-milvus:19530"
],
"order": 1,
"title": "Public Endpoint",
"type": "string"
},
"text_field": {
"default": "text",
"description": "The field in the entity that contains the embedded text",
"title": "Text Field",
"type": "string"
},
"vector_field": {
"default": "vector",
"description": "The field in the entity that contains the vector",
"title": "Vector Field",
"type": "string"
}
},
"required": [
"host",
"collection",
"auth"
],
"title": "Indexing",
"type": "object"
},
"omit_raw_text": {
"default": false,
"description": "Do not store the text that gets embedded along with the vector and the metadata in the destination. If set to true, only the vector and the metadata will be stored - in this case raw text for LLM use cases needs to be retrieved from another source.",
"group": "advanced",
"title": "Do not store raw text",
"type": "boolean"
},
"processing": {
"group": "processing",
"properties": {
"chunk_overlap": {
"default": 0,
"description": "Size of overlap between chunks in tokens to store in vector store to better capture relevant context",
"title": "Chunk overlap",
"type": "integer"
},
"chunk_size": {
"description": "Size of chunks in tokens to store in vector store (make sure it is not too big for the context if your LLM)",
"maximum": 8191,
"minimum": 1,
"title": "Chunk size",
"type": "integer"
},
"field_name_mappings": {
"default": [],
"description": "List of fields to rename. Not applicable for nested fields, but can be used to rename fields already flattened via dot notation.",
"items": {
"properties": {
"from_field": {
"description": "The field name in the source",
"title": "From field name",
"type": "string"
},
"to_field": {
"description": "The field name to use in the destination",
"title": "To field name",
"type": "string"
}
},
"required": [
"from_field",
"to_field"
],
"title": "FieldNameMappingConfigModel",
"type": "object"
},
"title": "Field name mappings",
"type": "array"
},
"metadata_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.",
"examples": [
"age",
"user",
"user.name"
],
"items": {
"type": "string"
},
"title": "Fields to store as metadata",
"type": "array"
},
"text_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be used to calculate the embedding. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.",
"examples": [
"text",
"user.name",
"users.*.name"
],
"items": {
"type": "string"
},
"title": "Text fields to embed",
"type": "array"
},
"text_splitter": {
"description": "Split text fields into chunks based on the specified method.",
"oneOf": [
{
"description": "Split the text by the list of separators until the chunk size is reached, using the earlier mentioned separators where possible. This is useful for splitting text fields by paragraphs, sentences, words, etc.",
"properties": {
"keep_separator": {
"default": false,
"description": "Whether to keep the separator in the resulting chunks",
"title": "Keep separator",
"type": "boolean"
},
"mode": {
"const": "separator",
"default": "separator",
"enum": [
"separator"
],
"title": "Mode",
"type": "string"
},
"separators": {
"default": [
"\"\\n\\n\"",
"\"\\n\"",
"\" \"",
"\"\""
],
"description": "List of separator strings to split text fields by. The separator itself needs to be wrapped in double quotes, e.g. to split by the dot character, use \".\". To split by a newline, use \"\\n\".",
"items": {
"type": "string"
},
"title": "Separators",
"type": "array"
}
},
"required": [
"mode"
],
"title": "By Separator",
"type": "object"
},
{
"description": "Split the text by Markdown headers down to the specified header level. If the chunk size fits multiple sections, they will be combined into a single chunk.",
"properties": {
"mode": {
"const": "markdown",
"default": "markdown",
"enum": [
"markdown"
],
"title": "Mode",
"type": "string"
},
"split_level": {
"default": 1,
"description": "Level of markdown headers to split text fields by. Headings down to the specified level will be used as split points",
"maximum": 6,
"minimum": 1,
"title": "Split level",
"type": "integer"
}
},
"required": [
"mode"
],
"title": "By Markdown header",
"type": "object"
},
{
"description": "Split the text by suitable delimiters based on the programming language. This is useful for splitting code into chunks.",
"properties": {
"language": {
"description": "Split code in suitable places based on the programming language",
"enum": [
"cpp",
"go",
"java",
"js",
"php",
"proto",
"python",
"rst",
"ruby",
"rust",
"scala",
"swift",
"markdown",
"latex",
"html",
"sol"
],
"title": "Language",
"type": "string"
},
"mode": {
"const": "code",
"default": "code",
"enum": [
"code"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"language",
"mode"
],
"title": "By Programming Language",
"type": "object"
}
],
"title": "Text splitter",
"type": "object"
}
},
"required": [
"chunk_size"
],
"title": "ProcessingConfigModel",
"type": "object"
}
},
"required": [
"embedding",
"processing",
"indexing"
],
"title": "Destination Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/milvus",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsIncremental": true
},
"supportLevel": "community",
"supportsDataActivation": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
},
{
"ab_internal": {
"ql": 100,
"sl": 100
},
"custom": false,
"destinationDefinitionId": "8b746512-8c2e-6ac1-4adc-b59faafd473c",
"dockerImageTag": "0.2.0",
"dockerRepository": "airbyte/destination-mongodb-strict-encrypt",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/mongodb",
"githubIssueLabel": "destination-mongodb",
"icon": "mongodb.svg",
"license": "ELv2",
"name": "MongoDB",
"public": true,
"releaseStage": "alpha",
"sourceType": "database",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"auth_type": {
"description": "Authorization type.",
"oneOf": [
{
"description": "None.",
"properties": {
"authorization": {
"const": "none",
"type": "string"
}
},
"required": [
"authorization"
],
"title": "None",
"type": "object"
},
{
"description": "Login/Password.",
"properties": {
"authorization": {
"const": "login/password",
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "Password associated with the username.",
"order": 2,
"title": "Password",
"type": "string"
},
"username": {
"description": "Username to use to access the database.",
"order": 1,
"title": "User",
"type": "string"
}
},
"required": [
"authorization",
"username",
"password"
],
"title": "Login/Password",
"type": "object"
}
],
"title": "Authorization type",
"type": "object"
},
"database": {
"description": "Name of the database.",
"order": 2,
"title": "DB Name",
"type": "string"
},
"instance_type": {
"description": "MongoDb instance to connect to. For MongoDB Atlas and Replica Set TLS connection is used by default.",
"oneOf": [
{
"properties": {
"host": {
"description": "The Host of a Mongo database to be replicated.",
"order": 0,
"title": "Host",
"type": "string"
},
"instance": {
"default": "standalone",
"enum": [
"standalone"
],
"type": "string"
},
"port": {
"default": 27017,
"description": "The Port of a Mongo database to be replicated.",
"examples": [
"27017"
],
"maximum": 65536,
"minimum": 0,
"order": 1,
"title": "Port",
"type": "integer"
}
},
"required": [
"instance",
"host",
"port"
],
"title": "Standalone MongoDb Instance"
},
{
"properties": {
"instance": {
"default": "replica",
"enum": [
"replica"
],
"type": "string"
},
"replica_set": {
"description": "A replica set name.",
"order": 1,
"title": "Replica Set",
"type": "string"
},
"server_addresses": {
"description": "The members of a replica set. Please specify `host`:`port` of each member seperated by comma.",
"examples": [
"host1:27017,host2:27017,host3:27017"
],
"order": 0,
"title": "Server addresses",
"type": "string"
}
},
"required": [
"instance",
"server_addresses"
],
"title": "Replica Set"
},
{
"properties": {
"cluster_url": {
"description": "URL of a cluster to connect to.",
"order": 0,
"title": "Cluster URL",
"type": "string"
},
"instance": {
"default": "atlas",
"enum": [
"atlas"
],
"type": "string"
}
},
"required": [
"instance",
"cluster_url"
],
"title": "MongoDB Atlas"
}
],
"order": 0,
"title": "MongoDb Instance Type",
"type": "object"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"oneOf": [
{
"properties": {
"tunnel_method": {
"const": "NO_TUNNEL",
"description": "No ssh tunnel needed to connect to database",
"order": 0,
"type": "string"
}
},
"required": [
"tunnel_method"
],
"title": "No Tunnel"
},
{
"properties": {
"ssh_key": {
"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"const": "SSH_KEY_AUTH",
"description": "Connect through a jump server tunnel host using username and ssh key",
"order": 0,
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"examples": [
"22"
],
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host.",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"ssh_key"
],
"title": "SSH Key Authentication"
},
{
"properties": {
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"const": "SSH_PASSWORD_AUTH",
"description": "Connect through a jump server tunnel host using username and password authentication",
"order": 0,
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"examples": [
"22"
],
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
},
"tunnel_user_password": {
"airbyte_secret": true,
"description": "OS-level password for logging into the jump server host",
"order": 4,
"title": "Password",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"tunnel_user_password"
],
"title": "Password Authentication"
}
],
"title": "SSH Tunnel Method",
"type": "object"
}
},
"required": [
"database",
"auth_type"
],
"title": "MongoDB Destination Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/mongodb",
"supported_destination_sync_modes": [
"overwrite",
"append"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "community",
"tags": [
"language:java"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.2@sha256:9fdb1888c4264cf6fee473649ecb593f56f58e5d0096a87ee0b231777e2e3e73"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION_DUCKDB__MOTHERDUCK__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION_DUCKDB__MOTHERDUCK__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "042ee9b5-eb98-4e99-a4e5-3f0d573bee66",
"dockerImageTag": "0.2.3",
"dockerRepository": "airbyte/destination-motherduck",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/motherduck",
"externalDocumentationUrls": [
{
"title": "MotherDuck documentation",
"type": "api_reference",
"url": "https://motherduck.com/docs"
},
{
"title": "Authentication",
"type": "authentication_guide",
"url": "https://motherduck.com/docs/key-tasks/authenticating-and-connecting-to-motherduck/"
},
{
"title": "MotherDuck Status",
"type": "status_page",
"url": "https://status.motherduck.com/"
},
{
"title": "MotherDuck Version Lifecycle Schedules",
"type": "api_deprecations",
"url": "https://motherduck.com/docs/troubleshooting/version-lifecycle-schedules/"
}
],
"generated": {
"git": {
"commit_author": "Aaron (\"AJ\") Steers",
"commit_author_email": "aj@airbyte.io",
"commit_sha": "c343b133c7de7b28e421af8fbe2473c0f0bdd9c2",
"commit_timestamp": "2026-03-30T20:36:32-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-motherduck/0.2.3.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-motherduck/latest/metadata.yaml",
"metadata_last_modified": "2026-03-31T03:44:09.023776+00:00",
"registry_entry_generated_at": "2026-03-31T03:44:09.023776+00:00"
}
},
"githubIssueLabel": "destination-motherduck",
"icon": "duckdb.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-motherduck/latest/icon.svg",
"language": "python",
"license": "ELv2",
"name": "MotherDuck",
"packageInfo": {
"cdk_version": "python:6.61.6"
},
"public": true,
"releaseStage": "alpha",
"releases": {},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-destination-motherduck"
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "check_connection",
"resourceRequirements": {
"memory_limit": "800Mi",
"memory_request": "800Mi"
}
},
{
"jobType": "sync",
"resourceRequirements": {
"memory_limit": "2Gi",
"memory_request": "2Gi"
}
}
]
},
"sourceType": "database",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"destination_path": {
"default": "md:",
"description": "Path to a .duckdb file or 'md:' to connect to a MotherDuck database. If 'md:' is specified without a database name, the default MotherDuck database name ('my_db') will be used.",
"examples": [
"/local/destination.duckdb",
"md:",
"md:data_db",
"md:my_db"
],
"title": "Destination DB",
"type": "string"
},
"motherduck_api_key": {
"airbyte_secret": true,
"description": "API access token to use for authentication to a MotherDuck database.",
"title": "MotherDuck Access Token",
"type": "string"
},
"schema": {
"description": "Database schema name, defaults to 'main' if not specified.",
"examples": [
"main",
"airbyte_raw",
"my_schema"
],
"title": "Schema Name",
"type": "string"
}
},
"required": [
"motherduck_api_key"
],
"title": "Destination MotherDuck",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.io/integrations/destinations/motherduck",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsDBT": true,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": false,
"sl": 100
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/java-connector-base:2.0.1@sha256:ec89bd1a89e825514dd2fc8730ba299a3ae1544580a078df0e35c5202c2085b3"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "bulk_upload_config.json",
"name": "SECRET_DESTINATION_MSSQL_V2_BULK_LOAD_CONFIG",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "d4353156-9217-4cad-8dd7-c108fd4f74cf",
"dockerImageTag": "2.2.15",
"dockerRepository": "airbyte/destination-mssql",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/mssql",
"externalDocumentationUrls": [
{
"title": "SQL Server documentation",
"type": "api_reference",
"url": "https://learn.microsoft.com/en-us/sql/sql-server/"
},
{
"title": "SQL Server 2022 release notes",
"type": "api_release_history",
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"metadata_file_path": "metadata/airbyte/destination-pgvector/latest/metadata.yaml",
"metadata_last_modified": "2026-03-31T03:46:04.345288+00:00",
"registry_entry_generated_at": "2026-03-31T03:46:04.345288+00:00"
}
},
"githubIssueLabel": "destination-pgvector",
"icon": "pgvector.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-pgvector/latest/icon.svg",
"language": "python",
"license": "ELv2",
"name": "PGVector",
"packageInfo": {
"cdk_version": "python:1.8.0"
},
"public": true,
"releaseDate": "2024-09-25",
"releaseStage": "beta",
"releases": {},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-destination-pgvector"
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "sync",
"resourceRequirements": {
"memory_limit": "2Gi",
"memory_request": "2Gi"
}
}
]
},
"sourceType": "vectorstore",
"spec": {
"connectionSpecification": {
"description": "The configuration model for the Vector DB based destinations. This model is used to generate the UI for the destination configuration,\nas well as to provide type safety for the configuration passed to the destination.\n\nThe configuration model is composed of four parts:\n* Processing configuration\n* Embedding configuration\n* Indexing configuration\n* Advanced configuration\n\nProcessing, embedding and advanced configuration are provided by this base class, while the indexing configuration is provided by the destination connector in the sub class.",
"groups": [
{
"id": "processing",
"title": "Processing"
},
{
"id": "embedding",
"title": "Embedding"
},
{
"id": "indexing",
"title": "Indexing"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"embedding": {
"description": "Embedding configuration",
"group": "embedding",
"oneOf": [
{
"description": "Use the OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"mode": {
"const": "openai",
"default": "openai",
"enum": [
"openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"title": "OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"mode"
],
"title": "OpenAI",
"type": "object"
},
{
"description": "Use the Cohere API to embed text.",
"properties": {
"cohere_key": {
"airbyte_secret": true,
"title": "Cohere API key",
"type": "string"
},
"mode": {
"const": "cohere",
"default": "cohere",
"enum": [
"cohere"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"cohere_key",
"mode"
],
"title": "Cohere",
"type": "object"
},
{
"description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.",
"properties": {
"mode": {
"const": "fake",
"default": "fake",
"enum": [
"fake"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Fake",
"type": "object"
},
{
"description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"api_base": {
"description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"https://your-resource-name.openai.azure.com"
],
"title": "Resource base URL",
"type": "string"
},
"deployment": {
"description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"your-resource-name"
],
"title": "Deployment",
"type": "string"
},
"mode": {
"const": "azure_openai",
"default": "azure_openai",
"enum": [
"azure_openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"description": "The API key for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"title": "Azure OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"api_base",
"deployment",
"mode"
],
"title": "Azure OpenAI",
"type": "object"
},
{
"description": "Use a service that's compatible with the OpenAI API to embed text.",
"properties": {
"api_key": {
"airbyte_secret": true,
"default": "",
"title": "API key",
"type": "string"
},
"base_url": {
"description": "The base URL for your OpenAI-compatible service",
"examples": [
"https://your-service-name.com"
],
"title": "Base URL",
"type": "string"
},
"dimensions": {
"description": "The number of dimensions the embedding model is generating",
"examples": [
1536,
384
],
"title": "Embedding dimensions",
"type": "integer"
},
"mode": {
"const": "openai_compatible",
"default": "openai_compatible",
"enum": [
"openai_compatible"
],
"title": "Mode",
"type": "string"
},
"model_name": {
"default": "text-embedding-ada-002",
"description": "The name of the model to use for embedding",
"examples": [
"text-embedding-ada-002"
],
"title": "Model name",
"type": "string"
}
},
"required": [
"base_url",
"dimensions",
"mode"
],
"title": "OpenAI-compatible",
"type": "object"
}
],
"title": "Embedding",
"type": "object"
},
"indexing": {
"description": "Postgres can be used to store vector data and retrieve embeddings.",
"group": "indexing",
"properties": {
"credentials": {
"properties": {
"password": {
"airbyte_secret": true,
"description": "Enter the password you want to use to access the database",
"examples": [
"AIRBYTE_PASSWORD"
],
"order": 7,
"title": "Password",
"type": "string"
}
},
"required": [
"password"
],
"title": "Credentials",
"type": "object"
},
"database": {
"description": "Enter the name of the database that you want to sync data into",
"examples": [
"AIRBYTE_DATABASE"
],
"order": 4,
"title": "Database",
"type": "string"
},
"default_schema": {
"default": "public",
"description": "Enter the name of the default schema",
"examples": [
"AIRBYTE_SCHEMA"
],
"order": 5,
"title": "Default Schema",
"type": "string"
},
"host": {
"description": "Enter the account name you want to use to access the database.",
"examples": [
"AIRBYTE_ACCOUNT"
],
"order": 1,
"title": "Host",
"type": "string"
},
"port": {
"default": 5432,
"description": "Enter the port you want to use to access the database",
"examples": [
"5432"
],
"order": 2,
"title": "Port",
"type": "integer"
},
"username": {
"description": "Enter the name of the user you want to use to access the database",
"examples": [
"AIRBYTE_USER"
],
"order": 6,
"title": "Username",
"type": "string"
}
},
"required": [
"host",
"database",
"username",
"credentials"
],
"title": "Postgres Connection",
"type": "object"
},
"omit_raw_text": {
"default": false,
"description": "Do not store the text that gets embedded along with the vector and the metadata in the destination. If set to true, only the vector and the metadata will be stored - in this case raw text for LLM use cases needs to be retrieved from another source.",
"group": "advanced",
"title": "Do not store raw text",
"type": "boolean"
},
"processing": {
"group": "processing",
"properties": {
"chunk_overlap": {
"default": 0,
"description": "Size of overlap between chunks in tokens to store in vector store to better capture relevant context",
"title": "Chunk overlap",
"type": "integer"
},
"chunk_size": {
"description": "Size of chunks in tokens to store in vector store (make sure it is not too big for the context if your LLM)",
"maximum": 8191,
"minimum": 1,
"title": "Chunk size",
"type": "integer"
},
"field_name_mappings": {
"default": [],
"description": "List of fields to rename. Not applicable for nested fields, but can be used to rename fields already flattened via dot notation.",
"items": {
"properties": {
"from_field": {
"description": "The field name in the source",
"title": "From field name",
"type": "string"
},
"to_field": {
"description": "The field name to use in the destination",
"title": "To field name",
"type": "string"
}
},
"required": [
"from_field",
"to_field"
],
"title": "FieldNameMappingConfigModel",
"type": "object"
},
"title": "Field name mappings",
"type": "array"
},
"metadata_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.",
"examples": [
"age",
"user",
"user.name"
],
"items": {
"type": "string"
},
"title": "Fields to store as metadata",
"type": "array"
},
"text_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be used to calculate the embedding. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.",
"examples": [
"text",
"user.name",
"users.*.name"
],
"items": {
"type": "string"
},
"title": "Text fields to embed",
"type": "array"
},
"text_splitter": {
"description": "Split text fields into chunks based on the specified method.",
"oneOf": [
{
"description": "Split the text by the list of separators until the chunk size is reached, using the earlier mentioned separators where possible. This is useful for splitting text fields by paragraphs, sentences, words, etc.",
"properties": {
"keep_separator": {
"default": false,
"description": "Whether to keep the separator in the resulting chunks",
"title": "Keep separator",
"type": "boolean"
},
"mode": {
"const": "separator",
"default": "separator",
"enum": [
"separator"
],
"title": "Mode",
"type": "string"
},
"separators": {
"default": [
"\"\\n\\n\"",
"\"\\n\"",
"\" \"",
"\"\""
],
"description": "List of separator strings to split text fields by. The separator itself needs to be wrapped in double quotes, e.g. to split by the dot character, use \".\". To split by a newline, use \"\\n\".",
"items": {
"type": "string"
},
"title": "Separators",
"type": "array"
}
},
"required": [
"mode"
],
"title": "By Separator",
"type": "object"
},
{
"description": "Split the text by Markdown headers down to the specified header level. If the chunk size fits multiple sections, they will be combined into a single chunk.",
"properties": {
"mode": {
"const": "markdown",
"default": "markdown",
"enum": [
"markdown"
],
"title": "Mode",
"type": "string"
},
"split_level": {
"default": 1,
"description": "Level of markdown headers to split text fields by. Headings down to the specified level will be used as split points",
"maximum": 6,
"minimum": 1,
"title": "Split level",
"type": "integer"
}
},
"required": [
"mode"
],
"title": "By Markdown header",
"type": "object"
},
{
"description": "Split the text by suitable delimiters based on the programming language. This is useful for splitting code into chunks.",
"properties": {
"language": {
"description": "Split code in suitable places based on the programming language",
"enum": [
"cpp",
"go",
"java",
"js",
"php",
"proto",
"python",
"rst",
"ruby",
"rust",
"scala",
"swift",
"markdown",
"latex",
"html",
"sol"
],
"title": "Language",
"type": "string"
},
"mode": {
"const": "code",
"default": "code",
"enum": [
"code"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"language",
"mode"
],
"title": "By Programming Language",
"type": "object"
}
],
"title": "Text splitter",
"type": "object"
}
},
"required": [
"chunk_size"
],
"title": "ProcessingConfigModel",
"type": "object"
}
},
"required": [
"embedding",
"processing",
"indexing"
],
"title": "Destination Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/pgvector",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsIncremental": true
},
"supportLevel": "community",
"supportsDataActivation": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 300,
"requireVersionIncrementsInPullRequests": true,
"sl": 300
},
"allowedHosts": {
"hosts": [
"*.${indexing.pinecone_environment}.pinecone.io",
"api.openai.com",
"api.cohere.ai",
"${embedding.api_base}"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.2@sha256:9fdb1888c4264cf6fee473649ecb593f56f58e5d0096a87ee0b231777e2e3e73"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-PINECONE__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-PINECONE__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "3d2b6f84-7f0d-4e3f-a5e5-7c7d4b50eabd",
"dockerImageTag": "0.1.48",
"dockerRepository": "airbyte/destination-pinecone",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/pinecone",
"externalDocumentationUrls": [
{
"title": "Pinecone documentation",
"type": "api_reference",
"url": "https://docs.pinecone.io/"
},
{
"title": "Release notes",
"type": "api_release_history",
"url": "https://docs.pinecone.io/release-notes"
},
{
"title": "Authentication",
"type": "authentication_guide",
"url": "https://docs.pinecone.io/guides/get-started/authentication"
},
{
"title": "Rate limits",
"type": "rate_limits",
"url": "https://docs.pinecone.io/troubleshooting/rate-limits"
},
{
"title": "Pinecone Status",
"type": "status_page",
"url": "https://status.pinecone.io/"
}
],
"generated": {
"git": {
"commit_author": "Justin Pye",
"commit_author_email": "justin.pye@airbyte.io",
"commit_sha": "7335565d4fefc5d3499a0367d5a58c8c59765ec1",
"commit_timestamp": "2026-03-18T11:47:58+12:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-pinecone/0.1.48.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-pinecone/latest/metadata.yaml",
"metadata_last_modified": "2026-03-17T23:56:39.831000+00:00",
"registry_entry_generated_at": "2026-03-17T23:58:04.166533"
}
},
"githubIssueLabel": "destination-pinecone",
"icon": "pinecone.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-pinecone/latest/icon.svg",
"language": "python",
"license": "ELv2",
"name": "Pinecone",
"packageInfo": {
"cdk_version": "python:1.8.0"
},
"public": true,
"releaseDate": "2023-08-15",
"releaseStage": "beta",
"releases": {},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-destination-pinecone"
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "sync",
"resourceRequirements": {
"memory_limit": "2Gi",
"memory_request": "2Gi"
}
}
]
},
"sourceType": "vectorstore",
"spec": {
"connectionSpecification": {
"description": "The configuration model for the Vector DB based destinations. This model is used to generate the UI for the destination configuration,\nas well as to provide type safety for the configuration passed to the destination.\n\nThe configuration model is composed of four parts:\n* Processing configuration\n* Embedding configuration\n* Indexing configuration\n* Advanced configuration\n\nProcessing, embedding and advanced configuration are provided by this base class, while the indexing configuration is provided by the destination connector in the sub class.",
"groups": [
{
"id": "processing",
"title": "Processing"
},
{
"id": "embedding",
"title": "Embedding"
},
{
"id": "indexing",
"title": "Indexing"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"embedding": {
"description": "Embedding configuration",
"group": "embedding",
"oneOf": [
{
"description": "Use the OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"mode": {
"const": "openai",
"default": "openai",
"enum": [
"openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"title": "OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"mode"
],
"title": "OpenAI",
"type": "object"
},
{
"description": "Use the Cohere API to embed text.",
"properties": {
"cohere_key": {
"airbyte_secret": true,
"title": "Cohere API key",
"type": "string"
},
"mode": {
"const": "cohere",
"default": "cohere",
"enum": [
"cohere"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"cohere_key",
"mode"
],
"title": "Cohere",
"type": "object"
},
{
"description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.",
"properties": {
"mode": {
"const": "fake",
"default": "fake",
"enum": [
"fake"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Fake",
"type": "object"
},
{
"description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"api_base": {
"description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"https://your-resource-name.openai.azure.com"
],
"title": "Resource base URL",
"type": "string"
},
"deployment": {
"description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"your-resource-name"
],
"title": "Deployment",
"type": "string"
},
"mode": {
"const": "azure_openai",
"default": "azure_openai",
"enum": [
"azure_openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"description": "The API key for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"title": "Azure OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"api_base",
"deployment",
"mode"
],
"title": "Azure OpenAI",
"type": "object"
},
{
"description": "Use a service that's compatible with the OpenAI API to embed text.",
"properties": {
"api_key": {
"airbyte_secret": true,
"default": "",
"title": "API key",
"type": "string"
},
"base_url": {
"description": "The base URL for your OpenAI-compatible service",
"examples": [
"https://your-service-name.com"
],
"title": "Base URL",
"type": "string"
},
"dimensions": {
"description": "The number of dimensions the embedding model is generating",
"examples": [
1536,
384
],
"title": "Embedding dimensions",
"type": "integer"
},
"mode": {
"const": "openai_compatible",
"default": "openai_compatible",
"enum": [
"openai_compatible"
],
"title": "Mode",
"type": "string"
},
"model_name": {
"default": "text-embedding-ada-002",
"description": "The name of the model to use for embedding",
"examples": [
"text-embedding-ada-002"
],
"title": "Model name",
"type": "string"
}
},
"required": [
"base_url",
"dimensions",
"mode"
],
"title": "OpenAI-compatible",
"type": "object"
}
],
"title": "Embedding",
"type": "object"
},
"indexing": {
"description": "Pinecone is a popular vector store that can be used to store and retrieve embeddings.",
"group": "indexing",
"properties": {
"index": {
"description": "Pinecone index in your project to load data into",
"title": "Index",
"type": "string"
},
"pinecone_environment": {
"description": "Pinecone Cloud environment to use",
"examples": [
"us-west1-gcp",
"gcp-starter"
],
"title": "Pinecone Environment",
"type": "string"
},
"pinecone_key": {
"airbyte_secret": true,
"description": "The Pinecone API key to use matching the environment (copy from Pinecone console)",
"title": "Pinecone API key",
"type": "string"
}
},
"required": [
"pinecone_key",
"pinecone_environment",
"index"
],
"title": "Indexing",
"type": "object"
},
"omit_raw_text": {
"default": false,
"description": "Do not store the text that gets embedded along with the vector and the metadata in the destination. If set to true, only the vector and the metadata will be stored - in this case raw text for LLM use cases needs to be retrieved from another source.",
"group": "advanced",
"title": "Do not store raw text",
"type": "boolean"
},
"processing": {
"group": "processing",
"properties": {
"chunk_overlap": {
"default": 0,
"description": "Size of overlap between chunks in tokens to store in vector store to better capture relevant context",
"title": "Chunk overlap",
"type": "integer"
},
"chunk_size": {
"description": "Size of chunks in tokens to store in vector store (make sure it is not too big for the context if your LLM)",
"maximum": 8191,
"minimum": 1,
"title": "Chunk size",
"type": "integer"
},
"field_name_mappings": {
"default": [],
"description": "List of fields to rename. Not applicable for nested fields, but can be used to rename fields already flattened via dot notation.",
"items": {
"properties": {
"from_field": {
"description": "The field name in the source",
"title": "From field name",
"type": "string"
},
"to_field": {
"description": "The field name to use in the destination",
"title": "To field name",
"type": "string"
}
},
"required": [
"from_field",
"to_field"
],
"title": "FieldNameMappingConfigModel",
"type": "object"
},
"title": "Field name mappings",
"type": "array"
},
"metadata_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.",
"examples": [
"age",
"user",
"user.name"
],
"items": {
"type": "string"
},
"title": "Fields to store as metadata",
"type": "array"
},
"text_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be used to calculate the embedding. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.",
"examples": [
"text",
"user.name",
"users.*.name"
],
"items": {
"type": "string"
},
"title": "Text fields to embed",
"type": "array"
},
"text_splitter": {
"description": "Split text fields into chunks based on the specified method.",
"oneOf": [
{
"description": "Split the text by the list of separators until the chunk size is reached, using the earlier mentioned separators where possible. This is useful for splitting text fields by paragraphs, sentences, words, etc.",
"properties": {
"keep_separator": {
"default": false,
"description": "Whether to keep the separator in the resulting chunks",
"title": "Keep separator",
"type": "boolean"
},
"mode": {
"const": "separator",
"default": "separator",
"enum": [
"separator"
],
"title": "Mode",
"type": "string"
},
"separators": {
"default": [
"\"\\n\\n\"",
"\"\\n\"",
"\" \"",
"\"\""
],
"description": "List of separator strings to split text fields by. The separator itself needs to be wrapped in double quotes, e.g. to split by the dot character, use \".\". To split by a newline, use \"\\n\".",
"items": {
"type": "string"
},
"title": "Separators",
"type": "array"
}
},
"required": [
"mode"
],
"title": "By Separator",
"type": "object"
},
{
"description": "Split the text by Markdown headers down to the specified header level. If the chunk size fits multiple sections, they will be combined into a single chunk.",
"properties": {
"mode": {
"const": "markdown",
"default": "markdown",
"enum": [
"markdown"
],
"title": "Mode",
"type": "string"
},
"split_level": {
"default": 1,
"description": "Level of markdown headers to split text fields by. Headings down to the specified level will be used as split points",
"maximum": 6,
"minimum": 1,
"title": "Split level",
"type": "integer"
}
},
"required": [
"mode"
],
"title": "By Markdown header",
"type": "object"
},
{
"description": "Split the text by suitable delimiters based on the programming language. This is useful for splitting code into chunks.",
"properties": {
"language": {
"description": "Split code in suitable places based on the programming language",
"enum": [
"cpp",
"go",
"java",
"js",
"php",
"proto",
"python",
"rst",
"ruby",
"rust",
"scala",
"swift",
"markdown",
"latex",
"html",
"sol"
],
"title": "Language",
"type": "string"
},
"mode": {
"const": "code",
"default": "code",
"enum": [
"code"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"language",
"mode"
],
"title": "By Programming Language",
"type": "object"
}
],
"title": "Text splitter",
"type": "object"
}
},
"required": [
"chunk_size"
],
"title": "ProcessingConfigModel",
"type": "object"
}
},
"required": [
"embedding",
"processing",
"indexing"
],
"title": "Destination Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/pinecone",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsIncremental": true
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"supportsRefreshes": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 200,
"requireVersionIncrementsInPullRequests": false,
"sl": 100
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/java-connector-base:2.0.4@sha256:5f343797cfcf021ca98ba9bdf5970ef66cbf6222d8cc17b0d61d13860a5bcc2b"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "credentials.json",
"name": "SECRET_DESTINATION-POSTGRES_CREDENTIALS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "25c5221d-dce2-4163-ade9-739ef790f503",
"dockerImageTag": "3.0.13",
"dockerRepository": "airbyte/destination-postgres",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres",
"externalDocumentationUrls": [
{
"title": "PostgreSQL documentation",
"type": "api_reference",
"url": "https://www.postgresql.org/docs/current/"
},
{
"title": "Release Notes",
"type": "api_release_history",
"url": "https://www.postgresql.org/docs/release/"
},
{
"title": "Client authentication",
"type": "authentication_guide",
"url": "https://www.postgresql.org/docs/current/client-authentication.html"
},
{
"title": "Database roles and privileges",
"type": "permissions_scopes",
"url": "https://www.postgresql.org/docs/current/user-manag.html"
},
{
"title": "SQL commands",
"type": "sql_reference",
"url": "https://www.postgresql.org/docs/current/sql-commands.html"
}
],
"generated": {
"git": {
"commit_author": "Ryan Br...",
"commit_author_email": "ryan.broughan@gmail.com",
"commit_sha": "959977e23519b3bce1a014e134f2c2ae9e6efcee",
"commit_timestamp": "2026-04-17T10:07:41-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-postgres/3.0.13.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-postgres/latest/metadata.yaml",
"metadata_last_modified": "2026-04-17T17:11:51.257003+00:00",
"registry_entry_generated_at": "2026-04-17T17:11:51.257003+00:00"
}
},
"githubIssueLabel": "destination-postgres",
"icon": "postgresql.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-postgres/latest/icon.svg",
"language": "java",
"license": "ELv2",
"name": "Postgres",
"packageInfo": {},
"public": true,
"releaseStage": "generally_available",
"releases": {
"breakingChanges": {
"2.0.0": {
"message": "This version introduces [Destinations V2](https://docs.airbyte.com/release_notes/upgrading_to_destinations_v2/#what-is-destinations-v2), which provides better error handling, incremental delivery of data for large syncs, and improved final table structures. To review the breaking changes, and how to upgrade, see [here](https://docs.airbyte.com/release_notes/upgrading_to_destinations_v2/#quick-start-to-upgrading). These changes will likely require updates to downstream dbt / SQL models, which we walk through [here](https://docs.airbyte.com/release_notes/upgrading_to_destinations_v2/#updating-downstream-transformations). Selecting `Upgrade` will upgrade **all** connections using this destination at their next sync. For more controlled upgrade [see instructions](https://docs.airbyte.com/release_notes/upgrading_to_destinations_v2/#upgrading-connections-one-by-one-with-dual-writing).\n",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres-migrations#2.0.0",
"upgradeDeadline": "2024-05-31"
},
"3.0.0": {
"message": "This version introduces Direct Load, a new architecture that writes data directly to final tables without using intermediate raw tables. This provides improved performance and reduced storage costs. Raw tables are no longer created by default. If you have downstream processes that depend on raw tables, you can enable the \"Raw tables only\" option in the connector configuration. Existing raw tables will not be deleted, but new syncs will write directly to final tables.\n",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres-migrations#3.0.0",
"upgradeDeadline": "2026-03-02"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres-migrations",
"releaseCandidates": {
"3.0.8-rc1": {
"ab_internal": {
"isEnterprise": false,
"ql": 200,
"requireVersionIncrementsInPullRequests": false,
"sl": 100
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/java-connector-base:2.0.1@sha256:ec89bd1a89e825514dd2fc8730ba299a3ae1544580a078df0e35c5202c2085b3"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "credentials.json",
"name": "SECRET_DESTINATION-POSTGRES_CREDENTIALS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "25c5221d-dce2-4163-ade9-739ef790f503",
"dockerImageTag": "3.0.8-rc1",
"dockerRepository": "airbyte/destination-postgres",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres",
"externalDocumentationUrls": [
{
"title": "PostgreSQL documentation",
"type": "api_reference",
"url": "https://www.postgresql.org/docs/current/"
},
{
"title": "Release Notes",
"type": "api_release_history",
"url": "https://www.postgresql.org/docs/release/"
},
{
"title": "Client authentication",
"type": "authentication_guide",
"url": "https://www.postgresql.org/docs/current/client-authentication.html"
},
{
"title": "Database roles and privileges",
"type": "permissions_scopes",
"url": "https://www.postgresql.org/docs/current/user-manag.html"
},
{
"title": "SQL commands",
"type": "sql_reference",
"url": "https://www.postgresql.org/docs/current/sql-commands.html"
}
],
"generated": {
"git": {
"commit_author": "Benoit Moriceau",
"commit_author_email": "benoit@airbyte.io",
"commit_sha": "1bfa189f80ad5594959abeecaa8ea3f429d2d01d",
"commit_timestamp": "2026-01-22T16:53:15-08:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-postgres/3.0.8-rc1.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-postgres/3.0.8-rc1/metadata.yaml",
"metadata_last_modified": "2026-01-23T00:58:58.355000+00:00",
"registry_entry_generated_at": "2026-01-23T01:00:04.624483"
}
},
"githubIssueLabel": "destination-postgres",
"icon": "postgresql.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-postgres/latest/icon.svg",
"language": "java",
"license": "ELv2",
"name": "Postgres",
"packageInfo": {},
"public": true,
"releaseStage": "generally_available",
"releases": {
"breakingChanges": {
"2.0.0": {
"message": "This version introduces [Destinations V2](https://docs.airbyte.com/release_notes/upgrading_to_destinations_v2/#what-is-destinations-v2), which provides better error handling, incremental delivery of data for large syncs, and improved final table structures. To review the breaking changes, and how to upgrade, see [here](https://docs.airbyte.com/release_notes/upgrading_to_destinations_v2/#quick-start-to-upgrading). These changes will likely require updates to downstream dbt / SQL models, which we walk through [here](https://docs.airbyte.com/release_notes/upgrading_to_destinations_v2/#updating-downstream-transformations). Selecting `Upgrade` will upgrade **all** connections using this destination at their next sync. For more controlled upgrade [see instructions](https://docs.airbyte.com/release_notes/upgrading_to_destinations_v2/#upgrading-connections-one-by-one-with-dual-writing).\n",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres-migrations#2.0.0",
"upgradeDeadline": "2024-05-31"
},
"3.0.0": {
"message": "This version introduces Direct Load, a new architecture that writes data directly to final tables without using intermediate raw tables. This provides improved performance and reduced storage costs. Raw tables are no longer created by default. If you have downstream processes that depend on raw tables, you can enable the \"Raw tables only\" option in the connector configuration. Existing raw tables will not be deleted, but new syncs will write directly to final tables.\n",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres-migrations#3.0.0",
"upgradeDeadline": "2026-03-02"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres-migrations",
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"sourceType": "database",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"groups": [
{
"id": "connection",
"title": "Connection"
},
{
"id": "sync_behavior",
"title": "Sync Behavior"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"cdc_deletion_mode": {
"always_show": true,
"default": "Hard delete",
"description": "Whether to execute CDC deletions as hard deletes (i.e. propagate source deletions to the destination), or soft deletes (i.e. leave a tombstone record in the destination). Defaults to hard deletes.",
"enum": [
"Hard delete",
"Soft delete"
],
"group": "sync_behavior",
"order": 8,
"title": "CDC deletion mode",
"type": "string"
},
"database": {
"description": "Name of the database.",
"group": "connection",
"order": 2,
"title": "Database Name",
"type": "string"
},
"disable_type_dedupe": {
"description": "Disable Writing Final Tables. WARNING! The data format in _airbyte_data is likely stable but there are no guarantees that other metadata columns will remain the same in future versions",
"group": "connection",
"order": 11,
"title": "Disable Final Tables. (WARNING! Unstable option; Columns in raw table schema might change between versions)",
"type": "boolean"
},
"drop_cascade": {
"description": "Drop tables with CASCADE. WARNING! This will delete all data in all dependent objects (views, etc.). Use with caution. This option is intended for usecases which can easily rebuild the dependent objects.",
"group": "connection",
"order": 12,
"title": "Drop tables with CASCADE. (WARNING! Risk of unrecoverable data loss)",
"type": "boolean"
},
"host": {
"description": "Hostname of the database.",
"group": "connection",
"order": 0,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (example: key1=value1&key2=value2&key3=value3).",
"group": "connection",
"order": 9,
"title": "JDBC URL Params",
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "Password associated with the username.",
"group": "connection",
"order": 5,
"title": "Password",
"type": "string"
},
"port": {
"description": "Port of the database.",
"examples": [
"5432"
],
"group": "connection",
"maximum": 65536,
"minimum": 0,
"order": 1,
"title": "Port",
"type": "integer"
},
"raw_data_schema": {
"description": "Airbyte will use this schema for various internal tables. In legacy raw tables mode, the raw tables will be stored in this schema. Defaults to \"airbyte_internal\".",
"group": "connection",
"order": 10,
"title": "Airbyte Internal Schema Name",
"type": "string"
},
"schema": {
"default": "public",
"description": "The default schema tables are written. If not specified otherwise, the \"public\" schema will be used.",
"examples": [
"public"
],
"group": "connection",
"order": 3,
"title": "Default Schema",
"type": "string"
},
"ssl": {
"airbyte_hidden": true,
"default": true,
"description": "Encrypt data using SSL. When activating SSL, please select one of the connection modes.",
"order": 6,
"title": "SSL Connection",
"type": "boolean"
},
"ssl_mode": {
"description": "SSL connection modes.\n disable - Disables encryption of communication between Airbyte and destination database.\n allow - Enables encryption only when required by the destination database.\n prefer - Allows unencrypted connections only if the destination database does not support encryption.\n require - Always require encryption. If the destination database server does not support encryption, connection will fail.\n verify-ca - Always require encryption and verifies that the destination database server has a valid SSL certificate.\n verify-full - This is the most secure mode. Always require encryption and verifies the identity of the destination database server.\n See more information - in the docs.",
"group": "connection",
"oneOf": [
{
"additionalProperties": true,
"description": "Disable SSL.",
"properties": {
"mode": {
"default": "disable",
"enum": [
"disable"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "disable",
"type": "object"
},
{
"additionalProperties": true,
"description": "Allow SSL mode.",
"properties": {
"mode": {
"default": "allow",
"enum": [
"allow"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "allow",
"type": "object"
},
{
"additionalProperties": true,
"description": "Prefer SSL mode.",
"properties": {
"mode": {
"default": "prefer",
"enum": [
"prefer"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "prefer",
"type": "object"
},
{
"additionalProperties": true,
"description": "Require SSL mode.",
"properties": {
"mode": {
"default": "require",
"enum": [
"require"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "require",
"type": "object"
},
{
"additionalProperties": true,
"description": "Verify-ca SSL mode.",
"properties": {
"ca_certificate": {
"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"order": 1,
"title": "CA Certificate",
"type": "string"
},
"client_key_password": {
"airbyte_secret": true,
"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"order": 2,
"title": "Client Key Password",
"type": "string"
},
"mode": {
"default": "verify-ca",
"enum": [
"verify-ca"
],
"type": "string"
}
},
"required": [
"mode",
"ca_certificate"
],
"title": "verify-ca",
"type": "object"
},
{
"additionalProperties": true,
"description": "Verify-full SSL mode.",
"properties": {
"ca_certificate": {
"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"order": 1,
"title": "CA Certificate",
"type": "string"
},
"client_certificate": {
"airbyte_secret": true,
"description": "Client certificate",
"multiline": true,
"order": 2,
"title": "Client Certificate",
"type": "string"
},
"client_key": {
"airbyte_secret": true,
"description": "Client key",
"multiline": true,
"order": 3,
"title": "Client Key",
"type": "string"
},
"client_key_password": {
"airbyte_secret": true,
"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"order": 4,
"title": "Client Key Password",
"type": "string"
},
"mode": {
"default": "verify-full",
"enum": [
"verify-full"
],
"type": "string"
}
},
"required": [
"mode",
"ca_certificate",
"client_certificate",
"client_key"
],
"title": "verify-full",
"type": "object"
}
],
"order": 7,
"title": "SSL Modes",
"type": "object"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"group": "connection",
"oneOf": [
{
"additionalProperties": true,
"description": "No ssh tunnel needed to connect to database",
"properties": {
"tunnel_method": {
"default": "NO_TUNNEL",
"enum": [
"NO_TUNNEL"
],
"type": "string"
}
},
"required": [
"tunnel_method"
],
"title": "No Tunnel",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and ssh key",
"properties": {
"ssh_key": {
"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_KEY_AUTH",
"enum": [
"SSH_KEY_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"ssh_key"
],
"title": "SSH Key Authentication",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and password authentication",
"properties": {
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_PASSWORD_AUTH",
"enum": [
"SSH_PASSWORD_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
},
"tunnel_user_password": {
"airbyte_secret": true,
"description": "OS-level password for logging into the jump server host",
"order": 4,
"title": "Password",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"tunnel_user_password"
],
"title": "Password Authentication",
"type": "object"
}
],
"order": 14,
"title": "SSH Tunnel Method",
"type": "object"
},
"unconstrained_number": {
"description": "Create numeric columns as unconstrained DECIMAL instead of NUMBER(38, 9). This will allow increased precision in numeric values. (this is disabled by default for backwards compatibility, but is recommended to enable)",
"group": "connection",
"order": 13,
"title": "Unconstrained numeric columns",
"type": "boolean"
},
"username": {
"description": "Username to access the database.",
"group": "connection",
"order": 4,
"title": "Username",
"type": "string"
}
},
"required": [
"host",
"port",
"database",
"schema",
"username"
],
"title": "Postgres Destination Specification",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsDbt": true,
"supportsFileTransfer": false,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"sourceType": "database",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"groups": [
{
"id": "connection",
"title": "Connection"
},
{
"id": "sync_behavior",
"title": "Sync Behavior"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"cdc_deletion_mode": {
"always_show": true,
"default": "Hard delete",
"description": "Whether to execute CDC deletions as hard deletes (i.e. propagate source deletions to the destination), or soft deletes (i.e. leave a tombstone record in the destination). Defaults to hard deletes.",
"enum": [
"Hard delete",
"Soft delete"
],
"group": "sync_behavior",
"order": 8,
"title": "CDC deletion mode",
"type": "string"
},
"database": {
"description": "Name of the database.",
"group": "connection",
"order": 2,
"title": "Database Name",
"type": "string"
},
"disable_type_dedupe": {
"description": "Disable Writing Final Tables. WARNING! The data format in _airbyte_data is likely stable but there are no guarantees that other metadata columns will remain the same in future versions",
"group": "connection",
"order": 11,
"title": "Disable Final Tables. (WARNING! Unstable option; Columns in raw table schema might change between versions)",
"type": "boolean"
},
"drop_cascade": {
"description": "Drop tables with CASCADE. WARNING! This will delete all data in all dependent objects (views, etc.). Use with caution. This option is intended for usecases which can easily rebuild the dependent objects.",
"group": "connection",
"order": 12,
"title": "Drop tables with CASCADE. (WARNING! Risk of unrecoverable data loss)",
"type": "boolean"
},
"host": {
"description": "Hostname of the database.",
"group": "connection",
"order": 0,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (example: key1=value1&key2=value2&key3=value3).",
"group": "connection",
"order": 9,
"title": "JDBC URL Params",
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "Password associated with the username.",
"group": "connection",
"order": 5,
"title": "Password",
"type": "string"
},
"port": {
"description": "Port of the database.",
"examples": [
"5432"
],
"group": "connection",
"maximum": 65536,
"minimum": 0,
"order": 1,
"title": "Port",
"type": "integer"
},
"raw_data_schema": {
"description": "Airbyte will use this schema for various internal tables. In legacy raw tables mode, the raw tables will be stored in this schema. Defaults to \"airbyte_internal\".",
"group": "connection",
"order": 10,
"title": "Airbyte Internal Schema Name",
"type": "string"
},
"schema": {
"default": "public",
"description": "The default schema tables are written. If not specified otherwise, the \"public\" schema will be used.",
"examples": [
"public"
],
"group": "connection",
"order": 3,
"title": "Default Schema",
"type": "string"
},
"ssl": {
"airbyte_hidden": true,
"default": true,
"description": "Encrypt data using SSL. When activating SSL, please select one of the connection modes.",
"order": 6,
"title": "SSL Connection",
"type": "boolean"
},
"ssl_mode": {
"description": "SSL connection modes.\n disable - Disables encryption of communication between Airbyte and destination database.\n allow - Enables encryption only when required by the destination database.\n prefer - Allows unencrypted connections only if the destination database does not support encryption.\n require - Always require encryption. If the destination database server does not support encryption, connection will fail.\n verify-ca - Always require encryption and verifies that the destination database server has a valid SSL certificate.\n verify-full - This is the most secure mode. Always require encryption and verifies the identity of the destination database server.\n See more information - in the docs.",
"group": "connection",
"oneOf": [
{
"additionalProperties": true,
"description": "Disable SSL.",
"properties": {
"mode": {
"default": "disable",
"enum": [
"disable"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "disable",
"type": "object"
},
{
"additionalProperties": true,
"description": "Allow SSL mode.",
"properties": {
"mode": {
"default": "allow",
"enum": [
"allow"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "allow",
"type": "object"
},
{
"additionalProperties": true,
"description": "Prefer SSL mode.",
"properties": {
"mode": {
"default": "prefer",
"enum": [
"prefer"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "prefer",
"type": "object"
},
{
"additionalProperties": true,
"description": "Require SSL mode.",
"properties": {
"mode": {
"default": "require",
"enum": [
"require"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "require",
"type": "object"
},
{
"additionalProperties": true,
"description": "Verify-ca SSL mode.",
"properties": {
"ca_certificate": {
"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"order": 1,
"title": "CA Certificate",
"type": "string"
},
"client_key_password": {
"airbyte_secret": true,
"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"order": 2,
"title": "Client Key Password",
"type": "string"
},
"mode": {
"default": "verify-ca",
"enum": [
"verify-ca"
],
"type": "string"
}
},
"required": [
"mode",
"ca_certificate"
],
"title": "verify-ca",
"type": "object"
},
{
"additionalProperties": true,
"description": "Verify-full SSL mode.",
"properties": {
"ca_certificate": {
"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"order": 1,
"title": "CA Certificate",
"type": "string"
},
"client_certificate": {
"airbyte_secret": true,
"description": "Client certificate",
"multiline": true,
"order": 2,
"title": "Client Certificate",
"type": "string"
},
"client_key": {
"airbyte_secret": true,
"description": "Client key",
"multiline": true,
"order": 3,
"title": "Client Key",
"type": "string"
},
"client_key_password": {
"airbyte_secret": true,
"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"order": 4,
"title": "Client Key Password",
"type": "string"
},
"mode": {
"default": "verify-full",
"enum": [
"verify-full"
],
"type": "string"
}
},
"required": [
"mode",
"ca_certificate",
"client_certificate",
"client_key"
],
"title": "verify-full",
"type": "object"
}
],
"order": 7,
"title": "SSL Modes",
"type": "object"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"group": "connection",
"oneOf": [
{
"additionalProperties": true,
"description": "No ssh tunnel needed to connect to database",
"properties": {
"tunnel_method": {
"default": "NO_TUNNEL",
"enum": [
"NO_TUNNEL"
],
"type": "string"
}
},
"required": [
"tunnel_method"
],
"title": "No Tunnel",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and ssh key",
"properties": {
"ssh_key": {
"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_KEY_AUTH",
"enum": [
"SSH_KEY_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"ssh_key"
],
"title": "SSH Key Authentication",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and password authentication",
"properties": {
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_PASSWORD_AUTH",
"enum": [
"SSH_PASSWORD_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
},
"tunnel_user_password": {
"airbyte_secret": true,
"description": "OS-level password for logging into the jump server host",
"order": 4,
"title": "Password",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"tunnel_user_password"
],
"title": "Password Authentication",
"type": "object"
}
],
"order": 14,
"title": "SSH Tunnel Method",
"type": "object"
},
"unconstrained_number": {
"description": "Create numeric columns as unconstrained DECIMAL instead of NUMBER(38, 9). This will allow increased precision in numeric values. (this is disabled by default for backwards compatibility, but is recommended to enable)",
"group": "connection",
"order": 13,
"title": "Unconstrained numeric columns",
"type": "boolean"
},
"username": {
"description": "Username to access the database.",
"group": "connection",
"order": 4,
"title": "Username",
"type": "string"
}
},
"required": [
"host",
"port",
"database",
"schema",
"username"
],
"title": "Postgres Destination Specification",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/postgres",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsDbt": true,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": false,
"sl": 100
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/java-connector-base:2.0.1@sha256:ec89bd1a89e825514dd2fc8730ba299a3ae1544580a078df0e35c5202c2085b3"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests",
"testConnections": null,
"testSecrets": null
},
{
"suite": "integrationTests",
"testConnections": null,
"testSecrets": [
{
"fileName": "credentials.json",
"name": "SECRET_DESTINATION-PUBSUB_CREDENTIALS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "356668e2-7e34-47f3-a3b0-67a8a481b692",
"dockerImageTag": "0.2.3",
"dockerRepository": "airbyte/destination-pubsub",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/pubsub",
"generated": {
"git": {
"commit_author": "Davin Chia",
"commit_author_email": "davinchia@gmail.com",
"commit_sha": "e4ad9b08828794fb391039a739bb0984f3fbd569",
"commit_timestamp": "2025-06-25T14:43:22-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-pubsub/0.2.3.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_etag": "CL/Em8vGjY4DEAE=",
"metadata_file_path": "metadata/airbyte/destination-pubsub/latest/metadata.yaml",
"metadata_last_modified": "2025-06-25T21:48:56.333000+00:00",
"registry_entry_generated_at": "2025-06-25T21:51:09.649336"
}
},
"githubIssueLabel": "destination-pubsub",
"icon": "googlepubsub.svg",
"language": "java",
"license": "MIT",
"name": "Google PubSub",
"packageInfo": {},
"public": true,
"releaseStage": "alpha",
"releases": {},
"sourceType": "api",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"batching_delay_threshold": {
"default": 1,
"description": "Number of ms before the buffer is flushed",
"minimum": 1,
"title": "Message Batching: Delay Threshold",
"type": "integer"
},
"batching_element_count_threshold": {
"default": 1,
"description": "Number of messages before the buffer is flushed",
"minimum": 1,
"title": "Message Batching: Element Count Threshold",
"type": "integer"
},
"batching_enabled": {
"default": false,
"description": "If TRUE messages will be buffered instead of sending them one by one",
"title": "Message Batching Enabled",
"type": "boolean"
},
"batching_request_bytes_threshold": {
"default": 1,
"description": "Number of bytes before the buffer is flushed",
"minimum": 1,
"title": "Message Batching: Request Bytes Threshold",
"type": "integer"
},
"credentials_json": {
"airbyte_secret": true,
"description": "The contents of the JSON service account key. Check out the docs if you need help generating this key.",
"title": "Credentials JSON",
"type": "string"
},
"ordering_enabled": {
"default": false,
"description": "If TRUE PubSub publisher will have message ordering enabled. Every message will have an ordering key of stream",
"title": "Message Ordering Enabled",
"type": "boolean"
},
"project_id": {
"description": "The GCP project ID for the project containing the target PubSub.",
"title": "Project ID",
"type": "string"
},
"topic_id": {
"description": "The PubSub topic ID in the given GCP project ID.",
"title": "PubSub Topic ID",
"type": "string"
}
},
"required": [
"project_id",
"topic_id",
"credentials_json",
"ordering_enabled",
"batching_enabled"
],
"title": "Google PubSub Destination Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/pubsub",
"supported_destination_sync_modes": [
"append"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"supportsRefreshes": false,
"tags": [
"language:java"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"allowedHosts": {
"hosts": [
"${indexing.url}",
"api.openai.com",
"api.cohere.ai",
"${embedding.api_base}"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.0@sha256:d9894b6895923b379f3006fa251147806919c62b7d9021b5cd125bb67d7bbe22"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests",
"testConnections": null,
"testSecrets": null
}
],
"custom": false,
"destinationDefinitionId": "6eb1198a-6d38-43e5-aaaa-dccd8f71db2b",
"dockerImageTag": "0.1.41",
"dockerRepository": "airbyte/destination-qdrant",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/qdrant",
"generated": {
"git": {
"commit_author": "Airbyte",
"commit_author_email": "integration-test@airbyte.io",
"commit_sha": "10d4ba065d9ce7ed5a4dd6636d7c569330b095e4",
"commit_timestamp": "2025-05-10T19:13:22+03:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-qdrant/0.1.41.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_etag": "CM2S+a6pmY0DEAE=",
"metadata_file_path": "metadata/airbyte/destination-qdrant/latest/metadata.yaml",
"metadata_last_modified": "2025-05-10T16:29:22.714000+00:00",
"registry_entry_generated_at": "2025-05-10T16:33:16.088767"
}
},
"githubIssueLabel": "destination-qdrant",
"icon": "qdrant.svg",
"language": "python",
"license": "MIT",
"name": "Qdrant",
"packageInfo": {
"cdk_version": "python:2.4.0"
},
"public": true,
"releaseDate": "2023-09-22",
"releaseStage": "alpha",
"releases": {},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "sync",
"resourceRequirements": {
"memory_limit": "2Gi",
"memory_request": "2Gi"
}
}
]
},
"sourceType": "vectorstore",
"spec": {
"connectionSpecification": {
"description": "The configuration model for the Vector DB based destinations. This model is used to generate the UI for the destination configuration,\nas well as to provide type safety for the configuration passed to the destination.\n\nThe configuration model is composed of four parts:\n* Processing configuration\n* Embedding configuration\n* Indexing configuration\n* Advanced configuration\n\nProcessing, embedding and advanced configuration are provided by this base class, while the indexing configuration is provided by the destination connector in the sub class.",
"groups": [
{
"id": "processing",
"title": "Processing"
},
{
"id": "embedding",
"title": "Embedding"
},
{
"id": "indexing",
"title": "Indexing"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"embedding": {
"description": "Embedding configuration",
"group": "embedding",
"oneOf": [
{
"description": "Use the OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"mode": {
"const": "openai",
"default": "openai",
"enum": [
"openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"title": "OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"mode"
],
"title": "OpenAI",
"type": "object"
},
{
"description": "Use the Cohere API to embed text.",
"properties": {
"cohere_key": {
"airbyte_secret": true,
"title": "Cohere API key",
"type": "string"
},
"mode": {
"const": "cohere",
"default": "cohere",
"enum": [
"cohere"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"cohere_key",
"mode"
],
"title": "Cohere",
"type": "object"
},
{
"description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.",
"properties": {
"mode": {
"const": "fake",
"default": "fake",
"enum": [
"fake"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Fake",
"type": "object"
},
{
"description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"api_base": {
"description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"https://your-resource-name.openai.azure.com"
],
"title": "Resource base URL",
"type": "string"
},
"deployment": {
"description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"your-resource-name"
],
"title": "Deployment",
"type": "string"
},
"mode": {
"const": "azure_openai",
"default": "azure_openai",
"enum": [
"azure_openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"description": "The API key for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"title": "Azure OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"api_base",
"deployment",
"mode"
],
"title": "Azure OpenAI",
"type": "object"
},
{
"description": "Use a service that's compatible with the OpenAI API to embed text.",
"properties": {
"api_key": {
"airbyte_secret": true,
"default": "",
"title": "API key",
"type": "string"
},
"base_url": {
"description": "The base URL for your OpenAI-compatible service",
"examples": [
"https://your-service-name.com"
],
"title": "Base URL",
"type": "string"
},
"dimensions": {
"description": "The number of dimensions the embedding model is generating",
"examples": [
1536,
384
],
"title": "Embedding dimensions",
"type": "integer"
},
"mode": {
"const": "openai_compatible",
"default": "openai_compatible",
"enum": [
"openai_compatible"
],
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},
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{
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{
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"groups": [
{
"id": "connection",
"title": "Connection"
},
{
"id": "tables",
"title": "Tables"
}
],
"properties": {
"database": {
"description": "Name of the database.",
"group": "connection",
"order": 5,
"title": "Database",
"type": "string"
},
"disable_type_dedupe": {
"default": false,
"description": "Disable Writing Final Tables. WARNING! The data format in _airbyte_data is likely stable but there are no guarantees that other metadata columns will remain the same in future versions",
"group": "tables",
"order": 11,
"title": "Disable Final Tables. (WARNING! Unstable option; Columns in raw table schema might change between versions)",
"type": "boolean"
},
"drop_cascade": {
"default": false,
"description": "Drop tables with CASCADE. WARNING! This will delete all data in all dependent objects (views, etc.). Use with caution. This option is intended for usecases which can easily rebuild the dependent objects.",
"group": "tables",
"order": 12,
"title": "Drop tables with CASCADE. (WARNING! Risk of unrecoverable data loss)",
"type": "boolean"
},
"host": {
"description": "Host Endpoint of the Redshift Cluster (must include the cluster-id, region and end with .redshift.amazonaws.com)",
"group": "connection",
"order": 1,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (example: key1=value1&key2=value2&key3=value3).",
"group": "connection",
"order": 7,
"title": "JDBC URL Params",
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "Password associated with the username.",
"group": "connection",
"order": 4,
"title": "Password",
"type": "string"
},
"port": {
"default": 5439,
"description": "Port of the database.",
"examples": [
"5439"
],
"group": "connection",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "Port",
"type": "integer"
},
"raw_data_schema": {
"description": "The schema to write raw tables into (default: airbyte_internal).",
"group": "tables",
"order": 9,
"title": "Destinations V2 Raw Table Schema",
"type": "string"
},
"schema": {
"default": "public",
"description": "The default schema tables are written to if the source does not specify a namespace. Unless specifically configured, the usual value for this field is \"public\".",
"examples": [
"public"
],
"group": "connection",
"order": 6,
"title": "Default Schema",
"type": "string"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"oneOf": [
{
"properties": {
"tunnel_method": {
"const": "NO_TUNNEL",
"description": "No ssh tunnel needed to connect to database",
"order": 0,
"type": "string"
}
},
"required": [
"tunnel_method"
],
"title": "No Tunnel"
},
{
"properties": {
"ssh_key": {
"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"const": "SSH_KEY_AUTH",
"description": "Connect through a jump server tunnel host using username and ssh key",
"order": 0,
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"examples": [
"22"
],
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host.",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"ssh_key"
],
"title": "SSH Key Authentication"
},
{
"properties": {
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"const": "SSH_PASSWORD_AUTH",
"description": "Connect through a jump server tunnel host using username and password authentication",
"order": 0,
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"examples": [
"22"
],
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
},
"tunnel_user_password": {
"airbyte_secret": true,
"description": "OS-level password for logging into the jump server host",
"order": 4,
"title": "Password",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"tunnel_user_password"
],
"title": "Password Authentication"
}
],
"title": "SSH Tunnel Method",
"type": "object"
},
"uploading_method": {
"description": "The way data will be uploaded to Redshift.",
"display_type": "radio",
"group": "connection",
"oneOf": [
{
"description": "(recommended) Uploads data to S3 and then uses a COPY to insert the data into Redshift. COPY is recommended for production workloads for better speed and scalability. See AWS docs for more details.",
"properties": {
"access_key_id": {
"airbyte_secret": true,
"description": "This ID grants access to the above S3 staging bucket. Airbyte requires Read and Write permissions to the given bucket. See AWS docs on how to generate an access key ID and secret access key.",
"order": 3,
"title": "S3 Access Key Id",
"type": "string"
},
"file_name_pattern": {
"description": "The pattern allows you to set the file-name format for the S3 staging file(s)",
"examples": [
"{date}",
"{date:yyyy_MM}",
"{timestamp}",
"{part_number}",
"{sync_id}"
],
"order": 5,
"title": "S3 Filename pattern",
"type": "string"
},
"method": {
"const": "S3 Staging",
"type": "string"
},
"purge_staging_data": {
"default": true,
"description": "Whether to delete the staging files from S3 after completing the sync. See docs for details.",
"order": 6,
"title": "Purge Staging Files and Tables",
"type": "boolean"
},
"s3_bucket_name": {
"description": "The name of the staging S3 bucket.",
"examples": [
"airbyte.staging"
],
"order": 0,
"title": "S3 Bucket Name",
"type": "string"
},
"s3_bucket_path": {
"description": "The directory under the S3 bucket where data will be written. If not provided, then defaults to the root directory. See path's name recommendations for more details.",
"examples": [
"data_sync/test"
],
"order": 1,
"title": "S3 Bucket Path",
"type": "string"
},
"s3_bucket_region": {
"default": "",
"description": "The region of the S3 staging bucket.",
"enum": [
"",
"af-south-1",
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-central-2",
"eu-north-1",
"eu-south-1",
"eu-south-2",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"il-central-1",
"me-central-1",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
],
"order": 2,
"title": "S3 Bucket Region",
"type": "string"
},
"secret_access_key": {
"airbyte_secret": true,
"description": "The corresponding secret to the above access key id. See AWS docs on how to generate an access key ID and secret access key.",
"order": 4,
"title": "S3 Secret Access Key",
"type": "string"
}
},
"required": [
"method",
"s3_bucket_name",
"s3_bucket_region",
"access_key_id",
"secret_access_key"
],
"title": "AWS S3 Staging"
}
],
"order": 8,
"title": "Uploading Method",
"type": "object"
},
"username": {
"description": "Username to use to access the database.",
"group": "connection",
"order": 3,
"title": "Username",
"type": "string"
}
},
"required": [
"host",
"port",
"database",
"username",
"password",
"schema"
],
"title": "Redshift Destination Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/redshift",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsDBT": true,
"supportsIncremental": true,
"supportsNormalization": true
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsDbt": true,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 300,
"requireVersionIncrementsInPullRequests": false,
"sl": 300
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/java-connector-base:2.0.1@sha256:ec89bd1a89e825514dd2fc8730ba299a3ae1544580a078df0e35c5202c2085b3"
},
"connectorIPCOptions": {
"dataChannel": {
"supportedSerialization": [
"JSONL",
"PROTOBUF"
],
"supportedTransport": [
"SOCKET",
"STDIO"
],
"version": "0.0.2"
}
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "s3_dest_v2_minimal_required_config.json",
"name": "SECRET_DESTINATION-S3-V2-MINIMAL-REQUIRED-CONFIG",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_jsonl_root_level_flattening_config.json",
"name": "SECRET_DESTINATION-S3-V2-JSONL-ROOT-LEVEL-FLATTENING",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_jsonl_gzip_config.json",
"name": "SECRET_DESTINATION-S3-V2-JSONL-GZIP",
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"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_csv_config.json",
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"type": "GSM"
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},
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"name": "SECRET_DESTINATION-S3-V2-CSV-ROOT-LEVEL-FLATTENING",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
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"name": "SECRET_DESTINATION-S3-V2-CSV-GZIP",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_avro_config.json",
"name": "SECRET_DESTINATION-S3-V2-AVRO",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_avro_bzip2_config.json",
"name": "SECRET_DESTINATION-S3-V2-AVRO-BZIP2",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_parquet_config.json",
"name": "SECRET_DESTINATION-S3-V2-PARQUET",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_parquet_snappy_config.json",
"name": "SECRET_DESTINATION-S3-V2-PARQUET-SNAPPY",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_assume_role_config.json",
"name": "SECRET_DESTINATION-S3-ASSUME-ROLE-CONFIG",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-S3_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_min_required_permissions_creds.json",
"name": "SECRET_DESTINATION-S3_MIN_REQUIRED_PERMISSIONS_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_policy_manager_credentials.json",
"name": "SECRET_DESTINATION-S3_POLICY_MANAGER_CREDENTIALS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_iam_role_credentials_for_assume_role_auth.json",
"name": "SECRET_DESTINATION-S3_DEST_IAM_ROLE_CREDENTIALS_FOR_ASSUME_ROLE_AUTH",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_endpoint_url_config.json",
"name": "SECRET_DESTINATION-S3-V2-ENDPOINT_URL",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_endpoint_empty_url_config.json",
"name": "SECRET_DESTINATION-S3-V2-ENDPOINT_EMPTY_URL",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_ambiguous_filepath_config.json",
"name": "SECRET_DESTINATION-S3-V2_AMBIGUOUS_FILEPATH",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_csv_assume_role_config.json",
"name": "SECRET_DESTINATION-S3-V2_CSV_ASSUME_ROLE",
"secretStore": {
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"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "4816b78f-1489-44c1-9060-4b19d5fa9362",
"dockerImageTag": "1.9.7",
"dockerRepository": "airbyte/destination-s3",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/s3",
"externalDocumentationUrls": [
{
"title": "AWS S3 documentation",
"type": "api_reference",
"url": "https://docs.aws.amazon.com/s3/"
},
{
"title": "IAM authentication",
"type": "authentication_guide",
"url": "https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html"
},
{
"title": "Bucket policies and permissions",
"type": "permissions_scopes",
"url": "https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-policy-language-overview.html"
},
{
"title": "Request rate and performance",
"type": "rate_limits",
"url": "https://docs.aws.amazon.com/AmazonS3/latest/userguide/optimizing-performance.html"
},
{
"title": "AWS Service Health Dashboard",
"type": "status_page",
"url": "https://health.aws.amazon.com/health/status"
}
],
"generated": {
"git": {
"commit_author": "Ryan Br...",
"commit_author_email": "ryan.broughan@gmail.com",
"commit_sha": "75c5d378669ac0f8e1bd5cd0be0010c2649caa4e",
"commit_timestamp": "2026-01-26T15:01:57-08:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-s3/1.9.7.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-s3/latest/metadata.yaml",
"metadata_last_modified": "2026-01-26T23:06:58.174000+00:00",
"registry_entry_generated_at": "2026-01-26T23:08:09.441476"
}
},
"githubIssueLabel": "destination-s3",
"icon": "s3.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-s3/latest/icon.svg",
"language": "java",
"license": "ELv2",
"name": "S3",
"packageInfo": {},
"public": true,
"releaseStage": "generally_available",
"releases": {
"breakingChanges": {
"1.0.0": {
"message": "**This release includes breaking changes, including major revisions to the schema of stored data. Do not upgrade without reviewing the migration guide.**\n",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/s3-migrations#1.0.0",
"upgradeDeadline": "2024-10-08"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/s3-migrations",
"releaseCandidates": {
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"ql": 300,
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"connectorTestSuitesOptions": [
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"testConnections": null,
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},
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"testSecrets": [
{
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"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
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"name": "SECRET_DESTINATION-S3-V2-JSONL-ROOT-LEVEL-FLATTENING",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_jsonl_gzip_config.json",
"name": "SECRET_DESTINATION-S3-V2-JSONL-GZIP",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_csv_config.json",
"name": "SECRET_DESTINATION-S3-V2-CSV",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_csv_root_level_flattening_config.json",
"name": "SECRET_DESTINATION-S3-V2-CSV-ROOT-LEVEL-FLATTENING",
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"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
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"name": "SECRET_DESTINATION-S3-V2-CSV-GZIP",
"secretStore": {
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"type": "GSM"
}
},
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"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_avro_bzip2_config.json",
"name": "SECRET_DESTINATION-S3-V2-AVRO-BZIP2",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_parquet_config.json",
"name": "SECRET_DESTINATION-S3-V2-PARQUET",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_parquet_snappy_config.json",
"name": "SECRET_DESTINATION-S3-V2-PARQUET-SNAPPY",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_assume_role_config.json",
"name": "SECRET_DESTINATION-S3-ASSUME-ROLE-CONFIG",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-S3_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_min_required_permissions_creds.json",
"name": "SECRET_DESTINATION-S3_MIN_REQUIRED_PERMISSIONS_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_policy_manager_credentials.json",
"name": "SECRET_DESTINATION-S3_POLICY_MANAGER_CREDENTIALS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_iam_role_credentials_for_assume_role_auth.json",
"name": "SECRET_DESTINATION-S3_DEST_IAM_ROLE_CREDENTIALS_FOR_ASSUME_ROLE_AUTH",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_endpoint_url_config.json",
"name": "SECRET_DESTINATION-S3-V2-ENDPOINT_URL",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_endpoint_empty_url_config.json",
"name": "SECRET_DESTINATION-S3-V2-ENDPOINT_EMPTY_URL",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "s3_dest_v2_ambiguous_filepath_config.json",
"name": "SECRET_DESTINATION-S3-V2_AMBIGUOUS_FILEPATH",
"secretStore": {
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}
},
{
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"name": "SECRET_DESTINATION-S3-V2_CSV_ASSUME_ROLE",
"secretStore": {
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"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "4816b78f-1489-44c1-9060-4b19d5fa9362",
"dockerImageTag": "1.9.1-rc.1",
"dockerRepository": "airbyte/destination-s3",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/s3",
"generated": {
"git": {
"commit_author": "Subodh Kant Chaturvedi",
"commit_author_email": "subodh1810@gmail.com",
"commit_sha": "b1fb92c4253ad5c7f004502b46e0189ab3f4f79b",
"commit_timestamp": "2025-07-28T22:23:13+05:30"
},
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"metadata_last_modified": "2025-07-28T17:02:23.730000+00:00",
"registry_entry_generated_at": "2025-07-28T17:05:26.819214"
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},
"githubIssueLabel": "destination-s3",
"icon": "s3.svg",
"language": "java",
"license": "ELv2",
"name": "S3",
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"releaseStage": "generally_available",
"releases": {
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"message": "**This release includes breaking changes, including major revisions to the schema of stored data. Do not upgrade without reviewing the migration guide.**\n",
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"upgradeDeadline": "2024-10-08"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/s3-migrations",
"rolloutConfiguration": {
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"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"resourceRequirements": {
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{
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"resourceRequirements": {
"memory_limit": "2Gi",
"memory_request": "2Gi"
}
}
]
},
"sourceType": "file",
"spec": {
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"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"access_key_id": {
"airbyte_secret": true,
"always_show": true,
"description": "The access key ID to access the S3 bucket. Airbyte requires Read and Write permissions to the given bucket. Read more here.",
"examples": [
"A012345678910EXAMPLE"
],
"order": 0,
"title": "Access Key ID",
"type": "string"
},
"file_name_pattern": {
"description": "Pattern to match file names in the bucket directory. Read more here",
"examples": [
"{date}",
"{date:yyyy_MM}",
"{timestamp}",
"{part_number}",
"{sync_id}"
],
"order": 9,
"title": "File Name Pattern",
"type": "string"
},
"format": {
"description": "Format of the data output. See here for more details",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"compression": {
"description": "Whether the output files should be compressed. If compression is selected, the output filename will have an extra extension (GZIP: \".jsonl.gz\").",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "No Compression",
"enum": [
"No Compression"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "No Compression",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "GZIP",
"enum": [
"GZIP"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "GZIP",
"type": "object"
}
],
"title": "Compression",
"type": "object"
},
"flattening": {
"default": "No flattening",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "CSV",
"enum": [
"CSV"
],
"type": "string"
}
},
"required": [
"format_type",
"flattening"
],
"title": "CSV: Comma-Separated Values",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression": {
"description": "Whether the output files should be compressed. If compression is selected, the output filename will have an extra extension (GZIP: \".jsonl.gz\").",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "No Compression",
"enum": [
"No Compression"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "No Compression",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "GZIP",
"enum": [
"GZIP"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "GZIP",
"type": "object"
}
],
"title": "Compression",
"type": "object"
},
"flattening": {
"default": "No flattening",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "JSONL",
"enum": [
"JSONL"
],
"type": "string"
}
},
"required": [
"format_type"
],
"title": "JSON Lines: Newline-delimited JSON",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression_codec": {
"description": "The compression algorithm used to compress data. Default to no compression.",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "no compression",
"enum": [
"no compression"
],
"type": "string"
}
},
"required": [
"codec"
],
"title": "no compression",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "Deflate",
"enum": [
"Deflate"
],
"type": "string"
},
"compression_level": {
"title": "Deflate Level",
"type": "integer"
}
},
"required": [
"codec",
"compression_level"
],
"title": "Deflate",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "bzip2",
"enum": [
"bzip2"
],
"type": "string"
}
},
"required": [
"codec"
],
"title": "bzip2",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "xz",
"enum": [
"xz"
],
"type": "string"
},
"compression_level": {
"title": "Compression Level",
"type": "integer"
}
},
"required": [
"codec",
"compression_level"
],
"title": "xz",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "zstandard",
"enum": [
"zstandard"
],
"type": "string"
},
"compression_level": {
"title": "Compression Level",
"type": "integer"
},
"include_checksum": {
"title": "Include Checksum",
"type": "boolean"
}
},
"required": [
"codec",
"compression_level",
"include_checksum"
],
"title": "zstandard",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "snappy",
"enum": [
"snappy"
],
"type": "string"
}
},
"required": [
"codec"
],
"title": "snappy",
"type": "object"
}
],
"order": 1,
"title": "Compression Codec",
"type": "object"
},
"format_type": {
"default": "Avro",
"enum": [
"Avro"
],
"type": "string"
}
},
"required": [
"format_type",
"compression_codec"
],
"title": "Avro: Apache Avro",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"block_size_mb": {
"default": 128,
"description": "This is the size of a row group being buffered in memory. It limits the memory usage when writing. Larger values will improve the IO when reading, but consume more memory when writing. Default: 128 MB.",
"title": "Block Size (Row Group Size) (MB)",
"type": "integer"
},
"compression_codec": {
"default": "UNCOMPRESSED",
"description": "The compression algorithm used to compress data pages.",
"enum": [
"UNCOMPRESSED",
"SNAPPY",
"GZIP",
"LZO",
"BROTLI",
"LZ4",
"ZSTD"
],
"title": "Compression Codec",
"type": "string"
},
"dictionary_encoding": {
"description": "Default: true.",
"title": "Dictionary Encoding",
"type": "boolean"
},
"dictionary_page_size_kb": {
"default": 1024,
"description": "There is one dictionary page per column per row group when dictionary encoding is used. The dictionary page size works like the page size but for dictionary. Default: 1024 KB.",
"title": "Dictionary Page Size (KB)",
"type": "integer"
},
"format_type": {
"default": "Parquet",
"enum": [
"Parquet"
],
"type": "string"
},
"max_padding_size_mb": {
"default": 8,
"description": "Maximum size allowed as padding to align row groups. This is also the minimum size of a row group. Default: 8 MB.",
"title": "Max Padding Size (MB)",
"type": "integer"
},
"page_size_kb": {
"default": 1024,
"description": "The page size is for compression. A block is composed of pages. A page is the smallest unit that must be read fully to access a single record. If this value is too small, the compression will deteriorate. Default: 1024 KB.",
"title": "Page Size (KB)",
"type": "integer"
}
},
"required": [
"format_type"
],
"title": "Parquet: Columnar Storage",
"type": "object"
}
],
"order": 6,
"title": "Output Format",
"type": "object"
},
"role_arn": {
"description": "The ARN of the AWS role to assume. Only usable in Airbyte Cloud.",
"examples": [
"arn:aws:iam::123456789:role/ExternalIdIsYourWorkspaceId"
],
"order": 2,
"title": "Role ARN",
"type": "string"
},
"s3_bucket_name": {
"description": "The name of the S3 bucket. Read more here.",
"examples": [
"airbyte_sync"
],
"order": 3,
"title": "S3 Bucket Name",
"type": "string"
},
"s3_bucket_path": {
"description": "Directory under the S3 bucket where data will be written. Read more here",
"examples": [
"data_sync/test"
],
"order": 4,
"title": "S3 Bucket Path",
"type": "string"
},
"s3_bucket_region": {
"default": "",
"description": "The region of the S3 bucket. See here for all region codes.",
"enum": [
"",
"af-south-1",
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-central-2",
"eu-north-1",
"eu-south-1",
"eu-south-2",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"il-central-1",
"me-central-1",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
],
"examples": [
"us-east-1"
],
"order": 5,
"title": "S3 Bucket Region",
"type": "string"
},
"s3_endpoint": {
"description": "Your S3 endpoint url. Read more here",
"examples": [
"http://localhost:9000"
],
"order": 7,
"title": "S3 Endpoint",
"type": "string"
},
"s3_path_format": {
"description": "Format string on how data will be organized inside the bucket directory. Read more here",
"examples": [
"${NAMESPACE}/${STREAM_NAME}/${YEAR}_${MONTH}_${DAY}_${EPOCH}_"
],
"order": 8,
"title": "S3 Path Format",
"type": "string"
},
"secret_access_key": {
"airbyte_secret": true,
"always_show": true,
"description": "The corresponding secret to the access key ID. Read more here",
"examples": [
"a012345678910ABCDEFGH/AbCdEfGhEXAMPLEKEY"
],
"order": 1,
"title": "Secret Access Key",
"type": "string"
}
},
"required": [
"s3_bucket_name",
"s3_bucket_path",
"s3_bucket_region",
"format"
],
"title": "S3 V2 Destination Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/s3",
"supported_destination_sync_modes": [
"overwrite",
"append"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": true,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "sync",
"resourceRequirements": {
"memory_request": "2Gi"
}
}
]
},
"sourceType": "file",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"access_key_id": {
"airbyte_secret": true,
"always_show": true,
"description": "The access key ID to access the S3 bucket. Airbyte requires Read and Write permissions to the given bucket. Read more here.",
"examples": [
"A012345678910EXAMPLE"
],
"order": 0,
"title": "Access Key ID",
"type": "string"
},
"file_name_pattern": {
"description": "Pattern to match file names in the bucket directory. Read more here",
"examples": [
"{date}",
"{date:yyyy_MM}",
"{timestamp}",
"{part_number}",
"{sync_id}"
],
"order": 9,
"title": "File Name Pattern",
"type": "string"
},
"format": {
"description": "Format of the data output. See here for more details",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"compression": {
"description": "Whether the output files should be compressed. If compression is selected, the output filename will have an extra extension (GZIP: \".jsonl.gz\").",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "No Compression",
"enum": [
"No Compression"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "No Compression",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "GZIP",
"enum": [
"GZIP"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "GZIP",
"type": "object"
}
],
"title": "Compression",
"type": "object"
},
"flattening": {
"default": "No flattening",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "CSV",
"enum": [
"CSV"
],
"type": "string"
}
},
"required": [
"format_type",
"flattening"
],
"title": "CSV: Comma-Separated Values",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression": {
"description": "Whether the output files should be compressed. If compression is selected, the output filename will have an extra extension (GZIP: \".jsonl.gz\").",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "No Compression",
"enum": [
"No Compression"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "No Compression",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "GZIP",
"enum": [
"GZIP"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "GZIP",
"type": "object"
}
],
"title": "Compression",
"type": "object"
},
"flattening": {
"default": "No flattening",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "JSONL",
"enum": [
"JSONL"
],
"type": "string"
}
},
"required": [
"format_type"
],
"title": "JSON Lines: Newline-delimited JSON",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
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"description": "The compression algorithm used to compress data. Default to no compression.",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "no compression",
"enum": [
"no compression"
],
"type": "string"
}
},
"required": [
"codec"
],
"title": "no compression",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "Deflate",
"enum": [
"Deflate"
],
"type": "string"
},
"compression_level": {
"title": "Deflate Level",
"type": "integer"
}
},
"required": [
"codec",
"compression_level"
],
"title": "Deflate",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "bzip2",
"enum": [
"bzip2"
],
"type": "string"
}
},
"required": [
"codec"
],
"title": "bzip2",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "xz",
"enum": [
"xz"
],
"type": "string"
},
"compression_level": {
"title": "Compression Level",
"type": "integer"
}
},
"required": [
"codec",
"compression_level"
],
"title": "xz",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "zstandard",
"enum": [
"zstandard"
],
"type": "string"
},
"compression_level": {
"title": "Compression Level",
"type": "integer"
},
"include_checksum": {
"title": "Include Checksum",
"type": "boolean"
}
},
"required": [
"codec",
"compression_level",
"include_checksum"
],
"title": "zstandard",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"codec": {
"default": "snappy",
"enum": [
"snappy"
],
"type": "string"
}
},
"required": [
"codec"
],
"title": "snappy",
"type": "object"
}
],
"order": 1,
"title": "Compression Codec",
"type": "object"
},
"format_type": {
"default": "Avro",
"enum": [
"Avro"
],
"type": "string"
}
},
"required": [
"format_type",
"compression_codec"
],
"title": "Avro: Apache Avro",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"block_size_mb": {
"default": 128,
"description": "This is the size of a row group being buffered in memory. It limits the memory usage when writing. Larger values will improve the IO when reading, but consume more memory when writing. Default: 128 MB.",
"title": "Block Size (Row Group Size) (MB)",
"type": "integer"
},
"compression_codec": {
"default": "UNCOMPRESSED",
"description": "The compression algorithm used to compress data pages.",
"enum": [
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"SNAPPY",
"GZIP",
"LZO",
"BROTLI",
"LZ4",
"ZSTD"
],
"title": "Compression Codec",
"type": "string"
},
"dictionary_encoding": {
"description": "Default: true.",
"title": "Dictionary Encoding",
"type": "boolean"
},
"dictionary_page_size_kb": {
"default": 1024,
"description": "There is one dictionary page per column per row group when dictionary encoding is used. The dictionary page size works like the page size but for dictionary. Default: 1024 KB.",
"title": "Dictionary Page Size (KB)",
"type": "integer"
},
"format_type": {
"default": "Parquet",
"enum": [
"Parquet"
],
"type": "string"
},
"max_padding_size_mb": {
"default": 8,
"description": "Maximum size allowed as padding to align row groups. This is also the minimum size of a row group. Default: 8 MB.",
"title": "Max Padding Size (MB)",
"type": "integer"
},
"page_size_kb": {
"default": 1024,
"description": "The page size is for compression. A block is composed of pages. A page is the smallest unit that must be read fully to access a single record. If this value is too small, the compression will deteriorate. Default: 1024 KB.",
"title": "Page Size (KB)",
"type": "integer"
}
},
"required": [
"format_type"
],
"title": "Parquet: Columnar Storage",
"type": "object"
}
],
"order": 6,
"title": "Output Format",
"type": "object"
},
"role_arn": {
"description": "The ARN of the AWS role to assume. Only usable in Airbyte Cloud.",
"examples": [
"arn:aws:iam::123456789:role/ExternalIdIsYourWorkspaceId"
],
"order": 2,
"title": "Role ARN",
"type": "string"
},
"s3_bucket_name": {
"description": "The name of the S3 bucket. Read more here.",
"examples": [
"airbyte_sync"
],
"order": 3,
"title": "S3 Bucket Name",
"type": "string"
},
"s3_bucket_path": {
"description": "Directory under the S3 bucket where data will be written. Read more here",
"examples": [
"data_sync/test"
],
"order": 4,
"title": "S3 Bucket Path",
"type": "string"
},
"s3_bucket_region": {
"default": "",
"description": "The region of the S3 bucket. See here for all region codes.",
"enum": [
"",
"af-south-1",
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
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"type": "string"
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"name": "S3 Data Lake",
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"maxPercentage": 50
}
},
"sourceType": "file",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"description": "Defines the configurations required to connect to an Iceberg catalog, including warehouse location, main branch name, and catalog type specifics.",
"properties": {
"access_key_id": {
"airbyte_secret": true,
"always_show": true,
"description": "The AWS Access Key ID with permissions for S3 and Glue operations.",
"order": 0,
"title": "AWS Access Key ID",
"type": "string"
},
"catalog_type": {
"always_show": true,
"description": "Specifies the type of Iceberg catalog (e.g., NESSIE, GLUE, REST, POLARIS) and its associated configuration.",
"oneOf": [
{
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"description": "Configuration details for connecting to a Nessie-based Iceberg catalog.",
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"description": "Optional token for authentication with the Nessie server.",
"examples": [
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],
"order": 2,
"title": "Nessie Access Token",
"type": "string"
},
"catalog_type": {
"default": "NESSIE",
"enum": [
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],
"type": "string"
},
"namespace": {
"description": "The Nessie namespace to be used in the Table identifier. \n This will ONLY be used if the `Destination Namespace` setting for the connection is set to\n `Destination-defined` or `Source-defined`",
"title": "Default namespace",
"type": "string"
},
"server_uri": {
"description": "The base URL of the Nessie server used to connect to the Nessie catalog.",
"order": 1,
"title": "Nessie Server URI",
"type": "string"
}
},
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"server_uri",
"namespace"
],
"title": "Nessie Catalog",
"type": "object"
},
{
"additionalProperties": true,
"description": "Configuration details for connecting to an AWS Glue-based Iceberg catalog.",
"properties": {
"catalog_type": {
"default": "GLUE",
"enum": [
"GLUE"
],
"type": "string"
},
"database_name": {
"description": "The Glue database name. This will ONLY be used if the `Destination Namespace` setting for the connection is set to `Destination-defined` or `Source-defined`",
"title": "Default database",
"type": "string"
},
"glue_id": {
"description": "The AWS Account ID associated with the Glue service used by the Iceberg catalog.",
"order": 1,
"title": "AWS Account ID",
"type": "string"
},
"role_arn": {
"description": "The ARN of the AWS role to assume. Only usable in Airbyte Cloud.",
"title": "Role ARN",
"type": "string"
}
},
"required": [
"catalog_type",
"glue_id",
"database_name"
],
"title": "Glue Catalog",
"type": "object"
},
{
"additionalProperties": true,
"description": "Configuration details for connecting to a REST catalog.",
"properties": {
"catalog_type": {
"default": "REST",
"enum": [
"REST"
],
"type": "string"
},
"namespace": {
"description": "The namespace to be used in the Table identifier. \n This will ONLY be used if the `Destination Namespace` setting for the connection is set to\n `Destination-defined` or `Source-defined`",
"title": "Default namespace",
"type": "string"
},
"server_uri": {
"description": "The base URL of the Rest server used to connect to the Rest catalog.",
"order": 1,
"title": "Rest Server URI",
"type": "string"
}
},
"required": [
"catalog_type",
"server_uri",
"namespace"
],
"title": "Rest Catalog",
"type": "object"
},
{
"additionalProperties": true,
"description": "Configuration details for connecting to an Apache Polaris-based Iceberg catalog.",
"properties": {
"catalog_name": {
"description": "The name of the catalog in Polaris. This corresponds to the catalog name created via the Polaris Management API.",
"order": 2,
"title": "Polaris Catalog Name",
"type": "string"
},
"catalog_type": {
"default": "POLARIS",
"enum": [
"POLARIS"
],
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The OAuth Client ID for authenticating with the Polaris server.",
"examples": [
"abc123clientid"
],
"order": 3,
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The OAuth Client Secret for authenticating with the Polaris server.",
"examples": [
"secretkey123"
],
"order": 4,
"title": "Client Secret",
"type": "string"
},
"namespace": {
"description": "The Polaris namespace to be used in the Table identifier.\n This will ONLY be used if the `Destination Namespace` setting for the connection is set to\n `Destination-defined` or `Source-defined`",
"order": 7,
"title": "Default namespace",
"type": "string"
},
"oauth2_server_uri": {
"description": "The OAuth2 token endpoint URI. If not provided, a deprecation warning may be issued as this will become required in future versions.",
"examples": [
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],
"order": 6,
"title": "OAuth2 Server URI",
"type": "string"
},
"scope": {
"description": "The OAuth scope for authentication. Must be in the format PRINCIPAL_ROLE:.",
"examples": [
"PRINCIPAL_ROLE:catalog_admin"
],
"order": 5,
"title": "OAuth Scope",
"type": "string"
},
"server_uri": {
"description": "The base URL of the Polaris server used to connect to the Polaris catalog.",
"order": 1,
"title": "Polaris Server URI",
"type": "string"
}
},
"required": [
"catalog_type",
"server_uri",
"catalog_name",
"client_id",
"client_secret",
"scope",
"namespace"
],
"title": "Polaris Catalog",
"type": "object"
}
],
"order": 7,
"title": "Catalog Type",
"type": "object"
},
"main_branch_name": {
"always_show": true,
"default": "main",
"description": "The primary or default branch name in the catalog. Most query engines will use \"main\" by default. See Iceberg documentation for more information.",
"order": 6,
"title": "Main Branch Name",
"type": "string"
},
"s3_bucket_name": {
"always_show": true,
"description": "The name of the S3 bucket that will host the Iceberg data.",
"order": 2,
"title": "S3 Bucket Name",
"type": "string"
},
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"always_show": true,
"description": "The region of the S3 bucket. See here for all region codes.",
"enum": [
"",
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"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-central-2",
"eu-north-1",
"eu-south-1",
"eu-south-2",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"il-central-1",
"me-central-1",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
],
"examples": [
"us-east-1"
],
"order": 3,
"title": "S3 Bucket Region",
"type": "string"
},
"s3_endpoint": {
"description": "Your S3 endpoint url. Read more here",
"order": 4,
"title": "S3 Endpoint",
"type": "string"
},
"secret_access_key": {
"airbyte_secret": true,
"always_show": true,
"description": "The AWS Secret Access Key paired with the Access Key ID for AWS authentication.",
"order": 1,
"title": "AWS Secret Access Key",
"type": "string"
},
"warehouse_location": {
"always_show": true,
"description": "The root location of the data warehouse used by the Iceberg catalog. Typically includes a bucket name and path within that bucket. For AWS Glue and Nessie, must include the storage protocol (such as \"s3://\" for Amazon S3).",
"examples": [
"s3://your-bucket/path/to/store/files/in"
],
"order": 5,
"title": "Warehouse Location",
"type": "string"
}
},
"required": [
"s3_bucket_name",
"s3_bucket_region",
"warehouse_location",
"main_branch_name",
"catalog_type"
],
"title": "Iceberg V2 Destination Specification",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/s3-data-lake",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"sourceType": "file",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"description": "Defines the configurations required to connect to an Iceberg catalog, including warehouse location, main branch name, and catalog type specifics.",
"properties": {
"access_key_id": {
"airbyte_secret": true,
"always_show": true,
"description": "The AWS Access Key ID with permissions for S3 and Glue operations.",
"order": 0,
"title": "AWS Access Key ID",
"type": "string"
},
"catalog_type": {
"always_show": true,
"description": "Specifies the type of Iceberg catalog (e.g., NESSIE, GLUE, REST, POLARIS) and its associated configuration.",
"oneOf": [
{
"additionalProperties": true,
"description": "Configuration details for connecting to a Nessie-based Iceberg catalog.",
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Optional token for authentication with the Nessie server.",
"examples": [
"a012345678910ABCDEFGH/AbCdEfGhEXAMPLEKEY"
],
"order": 2,
"title": "Nessie Access Token",
"type": "string"
},
"catalog_type": {
"default": "NESSIE",
"enum": [
"NESSIE"
],
"type": "string"
},
"namespace": {
"description": "The Nessie namespace to be used in the Table identifier. \n This will ONLY be used if the `Destination Namespace` setting for the connection is set to\n `Destination-defined` or `Source-defined`",
"title": "Default namespace",
"type": "string"
},
"server_uri": {
"description": "The base URL of the Nessie server used to connect to the Nessie catalog.",
"order": 1,
"title": "Nessie Server URI",
"type": "string"
}
},
"required": [
"catalog_type",
"server_uri",
"namespace"
],
"title": "Nessie Catalog",
"type": "object"
},
{
"additionalProperties": true,
"description": "Configuration details for connecting to an AWS Glue-based Iceberg catalog.",
"properties": {
"catalog_type": {
"default": "GLUE",
"enum": [
"GLUE"
],
"type": "string"
},
"database_name": {
"description": "The Glue database name. This will ONLY be used if the `Destination Namespace` setting for the connection is set to `Destination-defined` or `Source-defined`",
"title": "Default database",
"type": "string"
},
"glue_id": {
"description": "The AWS Account ID associated with the Glue service used by the Iceberg catalog.",
"order": 1,
"title": "AWS Account ID",
"type": "string"
},
"role_arn": {
"description": "The ARN of the AWS role to assume. Only usable in Airbyte Cloud.",
"title": "Role ARN",
"type": "string"
}
},
"required": [
"catalog_type",
"glue_id",
"database_name"
],
"title": "Glue Catalog",
"type": "object"
},
{
"additionalProperties": true,
"description": "Configuration details for connecting to a REST catalog.",
"properties": {
"catalog_type": {
"default": "REST",
"enum": [
"REST"
],
"type": "string"
},
"namespace": {
"description": "The namespace to be used in the Table identifier. \n This will ONLY be used if the `Destination Namespace` setting for the connection is set to\n `Destination-defined` or `Source-defined`",
"title": "Default namespace",
"type": "string"
},
"server_uri": {
"description": "The base URL of the Rest server used to connect to the Rest catalog.",
"order": 1,
"title": "Rest Server URI",
"type": "string"
}
},
"required": [
"catalog_type",
"server_uri",
"namespace"
],
"title": "Rest Catalog",
"type": "object"
},
{
"additionalProperties": true,
"description": "Configuration details for connecting to an Apache Polaris-based Iceberg catalog.",
"properties": {
"catalog_name": {
"description": "The name of the catalog in Polaris. This corresponds to the catalog name created via the Polaris Management API.",
"order": 2,
"title": "Polaris Catalog Name",
"type": "string"
},
"catalog_type": {
"default": "POLARIS",
"enum": [
"POLARIS"
],
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The OAuth Client ID for authenticating with the Polaris server.",
"examples": [
"abc123clientid"
],
"order": 3,
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The OAuth Client Secret for authenticating with the Polaris server.",
"examples": [
"secretkey123"
],
"order": 4,
"title": "Client Secret",
"type": "string"
},
"namespace": {
"description": "The Polaris namespace to be used in the Table identifier.\n This will ONLY be used if the `Destination Namespace` setting for the connection is set to\n `Destination-defined` or `Source-defined`",
"order": 7,
"title": "Default namespace",
"type": "string"
},
"oauth2_server_uri": {
"description": "The OAuth2 token endpoint URI. If not provided, a deprecation warning may be issued as this will become required in future versions.",
"examples": [
"https://polaris.example.com/oauth/tokens"
],
"order": 6,
"title": "OAuth2 Server URI",
"type": "string"
},
"scope": {
"description": "The OAuth scope for authentication. Must be in the format PRINCIPAL_ROLE:.",
"examples": [
"PRINCIPAL_ROLE:catalog_admin"
],
"order": 5,
"title": "OAuth Scope",
"type": "string"
},
"server_uri": {
"description": "The base URL of the Polaris server used to connect to the Polaris catalog.",
"order": 1,
"title": "Polaris Server URI",
"type": "string"
}
},
"required": [
"catalog_type",
"server_uri",
"catalog_name",
"client_id",
"client_secret",
"scope",
"namespace"
],
"title": "Polaris Catalog",
"type": "object"
}
],
"order": 7,
"title": "Catalog Type",
"type": "object"
},
"flush_batch_size_mb": {
"airbyte_hidden": true,
"default": 200,
"description": "The approximate size in megabytes of each batch of data written to Iceberg. Smaller values flush more frequently, improving data freshness and reducing data loss on failure, but will create more small files that require compaction. Must be between 1 and 500 MB. Default is 200 MB.",
"examples": [
200
],
"order": 8,
"title": "Flush Batch Size (MB)",
"type": "integer"
},
"main_branch_name": {
"always_show": true,
"default": "main",
"description": "The primary or default branch name in the catalog. Most query engines will use \"main\" by default. See Iceberg documentation for more information.",
"order": 6,
"title": "Main Branch Name",
"type": "string"
},
"s3_bucket_name": {
"always_show": true,
"description": "The name of the S3 bucket that will host the Iceberg data.",
"order": 2,
"title": "S3 Bucket Name",
"type": "string"
},
"s3_bucket_region": {
"always_show": true,
"description": "The region of the S3 bucket. See here for all region codes.",
"enum": [
"",
"af-south-1",
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-central-2",
"eu-north-1",
"eu-south-1",
"eu-south-2",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"il-central-1",
"me-central-1",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
],
"examples": [
"us-east-1"
],
"order": 3,
"title": "S3 Bucket Region",
"type": "string"
},
"s3_endpoint": {
"description": "Your S3 endpoint url. Read more here",
"order": 4,
"title": "S3 Endpoint",
"type": "string"
},
"secret_access_key": {
"airbyte_secret": true,
"always_show": true,
"description": "The AWS Secret Access Key paired with the Access Key ID for AWS authentication.",
"order": 1,
"title": "AWS Secret Access Key",
"type": "string"
},
"warehouse_location": {
"always_show": true,
"description": "The root location of the data warehouse used by the Iceberg catalog. Typically includes a bucket name and path within that bucket. For AWS Glue and Nessie, must include the storage protocol (such as \"s3://\" for Amazon S3).",
"examples": [
"s3://your-bucket/path/to/store/files/in"
],
"order": 5,
"title": "Warehouse Location",
"type": "string"
}
},
"required": [
"s3_bucket_name",
"s3_bucket_region",
"warehouse_location",
"main_branch_name",
"catalog_type"
],
"title": "Iceberg V2 Destination Specification",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/s3-data-lake",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
},
{
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"sl": 100
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"connectorTestSuitesOptions": [
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"testConnections": null,
"testSecrets": [
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"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "471e5cab-8ed1-49f3-ba11-79c687784737",
"dockerImageTag": "0.1.11",
"dockerRepository": "airbyte/destination-s3-glue",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/s3-glue",
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"commit_sha": "714d6c15229fc405c3c31f12bf790a756826f799",
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"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-s3-glue/0.1.11.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_etag": "CPS2roywnIwDEAE=",
"metadata_file_path": "metadata/airbyte/destination-s3-glue/latest/metadata.yaml",
"metadata_last_modified": "2025-03-21T23:56:41.927000+00:00",
"registry_entry_generated_at": "2025-03-21T23:58:26.347799"
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},
"githubIssueLabel": "destination-s3-glue",
"icon": "s3-glue.svg",
"language": "java",
"license": "MIT",
"name": "S3 Glue",
"packageInfo": {},
"public": true,
"releaseStage": "alpha",
"releases": {},
"sourceType": "file",
"spec": {
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"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"access_key_id": {
"airbyte_secret": true,
"description": "The access key ID to access the S3 bucket. Airbyte requires Read and Write permissions to the given bucket. Read more here.",
"examples": [
"A012345678910EXAMPLE"
],
"order": 0,
"title": "S3 Key ID",
"type": "string"
},
"file_name_pattern": {
"description": "The pattern allows you to set the file-name format for the S3 staging file(s)",
"examples": [
"{date}",
"{date:yyyy_MM}",
"{timestamp}",
"{part_number}",
"{sync_id}"
],
"order": 8,
"title": "S3 Filename pattern",
"type": "string"
},
"format": {
"description": "Format of the data output. See here for more details",
"oneOf": [
{
"properties": {
"compression": {
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"oneOf": [
{
"properties": {
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"enum": [
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"type": "string"
}
},
"requires": "compression_type",
"title": "No Compression"
},
{
"properties": {
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"default": "GZIP",
"enum": [
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],
"type": "string"
}
},
"requires": "compression_type",
"title": "GZIP"
}
],
"title": "Compression",
"type": "object"
},
"flattening": {
"default": "Root level flattening",
"description": "Whether the input json data should be normalized (flattened) in the output JSON Lines. Please refer to docs for details.",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "JSONL",
"enum": [
"JSONL"
],
"title": "Format Type",
"type": "string"
}
},
"required": [
"format_type"
],
"title": "JSON Lines: Newline-delimited JSON"
}
],
"order": 5,
"title": "Output Format",
"type": "object"
},
"glue_database": {
"description": "Name of the glue database for creating the tables, leave blank if no integration",
"examples": [
"airbyte_database"
],
"order": 9,
"title": "Glue database name",
"type": "string"
},
"glue_serialization_library": {
"default": "org.openx.data.jsonserde.JsonSerDe",
"description": "The library that your query engine will use for reading and writing data in your lake.",
"enum": [
"org.openx.data.jsonserde.JsonSerDe",
"org.apache.hive.hcatalog.data.JsonSerDe"
],
"order": 10,
"title": "Serialization Library",
"type": "string"
},
"s3_bucket_name": {
"description": "The name of the S3 bucket. Read more here.",
"examples": [
"airbyte_sync"
],
"order": 2,
"title": "S3 Bucket Name",
"type": "string"
},
"s3_bucket_path": {
"description": "Directory under the S3 bucket where data will be written. Read more here",
"examples": [
"data_sync/test"
],
"order": 3,
"title": "S3 Bucket Path",
"type": "string"
},
"s3_bucket_region": {
"default": "",
"description": "The region of the S3 bucket. See here for all region codes.",
"enum": [
"",
"af-south-1",
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-central-2",
"eu-north-1",
"eu-south-1",
"eu-south-2",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"il-central-1",
"me-central-1",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
],
"order": 4,
"title": "S3 Bucket Region",
"type": "string"
},
"s3_endpoint": {
"default": "",
"description": "Your S3 endpoint url. Read more here",
"examples": [
"http://localhost:9000"
],
"order": 6,
"title": "Endpoint",
"type": "string"
},
"s3_path_format": {
"description": "Format string on how data will be organized inside the S3 bucket directory. Read more here",
"examples": [
"${NAMESPACE}/${STREAM_NAME}/${YEAR}_${MONTH}_${DAY}_${EPOCH}_"
],
"order": 7,
"title": "S3 Path Format",
"type": "string"
},
"secret_access_key": {
"airbyte_secret": true,
"description": "The corresponding secret to the access key ID. Read more here",
"examples": [
"a012345678910ABCDEFGH/AbCdEfGhEXAMPLEKEY"
],
"order": 1,
"title": "S3 Access Key",
"type": "string"
}
},
"required": [
"s3_bucket_name",
"s3_bucket_path",
"s3_bucket_region",
"format",
"glue_database",
"glue_serialization_library"
],
"title": "S3 Destination Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/s3-glue",
"supported_destination_sync_modes": [
"overwrite",
"append"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsFileTransfer": false,
"supportsRefreshes": false,
"tags": [
"language:java"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": true,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"allowedHosts": {
"hosts": [
"*.salesforce.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/java-connector-base:2.0.1@sha256:ec89bd1a89e825514dd2fc8730ba299a3ae1544580a078df0e35c5202c2085b3"
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"connectorTestSuitesOptions": [
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{
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"testSecrets": [
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"fileName": "config.json",
"name": "SECRET_DESTINATION-SALESFORCE_CREDENTIALS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "invalid-config.json",
"name": "SECRET_DESTINATION-SALESFORCE_INVALID_CREDENTIALS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "c0b24000-d34d-b33f-fea7-6b96dc0e5f0d",
"dockerImageTag": "0.0.8",
"dockerRepository": "airbyte/destination-salesforce",
"documentationUrl": "https://docs.airbyte.com/integrations/enterprise-connectors/destination-salesforce",
"generated": {
"git": {
"commit_author": "Edward Gao",
"commit_author_email": "edward.gao@airbyte.io",
"commit_sha": "21f99aabe51b95b3a1d21fe19d8c34767d53daf9",
"commit_timestamp": "2025-09-26T10:42:58-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-salesforce/0.0.8.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-salesforce/latest/metadata.yaml",
"metadata_last_modified": "2025-09-26T17:50:45.115000+00:00",
"registry_entry_generated_at": "2025-09-26T17:52:43.009899"
}
},
"githubIssueLabel": "destination-salesforce",
"icon": "salesforce.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-salesforce/latest/icon.svg",
"language": "java",
"license": "ELv2",
"name": "Salesforce",
"packageInfo": {},
"public": true,
"releaseStage": "alpha",
"releases": {},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "discover_schema",
"resourceRequirements": {
"memory_limit": "1024Mi",
"memory_request": "1024Mi"
}
}
]
},
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_user_input_from_connector_config_specification": {
"additionalProperties": false,
"properties": {
"is_sandbox": {
"path_in_connector_config": [
"is_sandbox"
],
"type": "boolean"
}
},
"type": "object"
}
},
"predicate_key": [
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"auth_type": {
"const": "Client",
"type": "string"
},
"client_id": {
"description": "Enter your Salesforce developer application's Client ID.",
"order": 0,
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Enter your Salesforce developer application's Client secret.",
"order": 1,
"title": "Client Secret",
"type": "string"
},
"is_sandbox": {
"default": false,
"description": "Toggle if you're using a Salesforce Sandbox.",
"order": 3,
"title": "Is Sandbox",
"type": "boolean"
},
"object_storage_config": {
"oneOf": [
{
"additionalProperties": true,
"properties": {
"storage_type": {
"default": "None",
"enum": [
"None"
],
"type": "string"
}
},
"required": [
"storage_type"
],
"title": "None",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"access_key_id": {
"airbyte_secret": true,
"always_show": true,
"description": "The access key ID to access the S3 bucket. Airbyte requires Read and Write permissions to the given bucket. Read more here.",
"examples": [
"A012345678910EXAMPLE"
],
"order": 1,
"title": "Access Key ID",
"type": "string"
},
"bucket_path": {
"description": "All files in the bucket will be prefixed by this.",
"examples": [
"prefix/"
],
"order": 7,
"title": "Prefix Path in the Bucket",
"type": "string"
},
"compression": {
"airbyte_hidden": true,
"description": "Whether the output files should be compressed. If compression is selected, the output filename will have an extra extension (GZIP: \".jsonl.gz\").",
"oneOf": [
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "No Compression",
"enum": [
"No Compression"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "No Compression",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"compression_type": {
"default": "GZIP",
"enum": [
"GZIP"
],
"type": "string"
}
},
"required": [
"compression_type"
],
"title": "GZIP",
"type": "object"
}
],
"title": "Compression",
"type": "object"
},
"file_name_format": {
"airbyte_hidden": true,
"default": "{date}_{timestamp}_{part_number}{format_extension}",
"examples": [
"{date}",
"{date:yyyy_MM}",
"{timestamp}",
"{part_number}",
"{sync_id}"
],
"order": 11,
"type": "string"
},
"format": {
"airbyte_hidden": true,
"default": "CSV",
"description": "Format of the data output.",
"examples": [
"CSV",
"JSONL"
],
"oneOf": [
{
"additionalProperties": true,
"properties": {
"flattening": {
"default": "No flattening",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "CSV",
"enum": [
"CSV"
],
"type": "string"
}
},
"required": [
"format_type",
"flattening"
],
"title": "CSV: Comma-Separated Values",
"type": "object"
},
{
"additionalProperties": true,
"properties": {
"flattening": {
"default": "No flattening",
"enum": [
"No flattening",
"Root level flattening"
],
"title": "Flattening",
"type": "string"
},
"format_type": {
"default": "JSONL",
"enum": [
"JSONL"
],
"type": "string"
}
},
"required": [
"format_type"
],
"title": "JSON Lines: Newline-delimited JSON",
"type": "object"
}
],
"order": 8,
"title": "Output Format",
"type": "object"
},
"path_format": {
"airbyte_hidden": true,
"default": "{sync_id}/{namespace}/{stream_name}/",
"examples": [
"{namespace}/{stream_name}/{year}_{month}_{day}_{epoch}"
],
"order": 10,
"type": "string"
},
"role_arn": {
"description": "The ARN of the AWS role to assume. Only usable in Airbyte Cloud.",
"examples": [
"arn:aws:iam::123456789:role/ExternalIdIsYourWorkspaceId"
],
"order": 3,
"title": "Role ARN",
"type": "string"
},
"s3_bucket_name": {
"description": "The name of the S3 bucket. Read more here.",
"examples": [
"airbyte_sync"
],
"order": 4,
"title": "S3 Bucket Name",
"type": "string"
},
"s3_bucket_region": {
"default": "",
"description": "The region of the S3 bucket. See here for all region codes.",
"enum": [
"",
"af-south-1",
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-south-2",
"ap-southeast-1",
"ap-southeast-2",
"ap-southeast-3",
"ap-southeast-4",
"ca-central-1",
"ca-west-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-central-2",
"eu-north-1",
"eu-south-1",
"eu-south-2",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"il-central-1",
"me-central-1",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
],
"examples": [
"us-east-1"
],
"order": 5,
"title": "S3 Bucket Region",
"type": "string"
},
"s3_endpoint": {
"description": "Your S3 endpoint url. Read more here",
"examples": [
"http://localhost:9000"
],
"order": 6,
"title": "S3 Endpoint",
"type": "string"
},
"secret_access_key": {
"airbyte_secret": true,
"always_show": true,
"description": "The corresponding secret to the access key ID. Read more here",
"examples": [
"a012345678910ABCDEFGH/AbCdEfGhEXAMPLEKEY"
],
"order": 2,
"title": "Secret Access Key",
"type": "string"
},
"storage_type": {
"default": "S3",
"enum": [
"S3"
],
"type": "string"
}
},
"required": [
"storage_type",
"s3_bucket_name",
"s3_bucket_region",
"bucket_path",
"format"
],
"title": "S3",
"type": "object"
}
],
"title": "Object Storage Spec",
"type": "object"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Enter your application's Salesforce Refresh Token used for Airbyte to access your Salesforce account.",
"order": 2,
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"refresh_token",
"is_sandbox",
"auth_type"
],
"title": "Salesforce Specification",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/enterprise-connectors/destination-salesforce",
"supported_destination_sync_modes": [
"append"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": true,
"supportsFileTransfer": false,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"connectorBuildOptions": {
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{
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],
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],
"group": "connection",
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"title": "Database",
"type": "string"
},
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"description": "Write the legacy \"raw tables\" format, to enable backwards compatibility with older versions of this connector.",
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"title": "Legacy raw tables",
"type": "boolean"
},
"host": {
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"examples": [
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],
"group": "connection",
"order": 0,
"pattern": "^(http(s)?:\\/\\/)?([^./?#]+\\.)?([^./?#]+\\.)?([^./?#]+\\.)?([^./?#]+\\.(snowflakecomputing\\.com|localstack\\.cloud))$",
"pattern_descriptor": "{account_name}.snowflakecomputing.com or {accountname}.{aws_location}.aws.snowflakecomputing.com",
"title": "Host",
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},
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"group": "advanced",
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"title": "Airbyte Internal Table Dataset Name",
"type": "string"
},
"retention_period_days": {
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"group": "advanced",
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"title": "Data Retention Period (days)",
"type": "integer"
},
"role": {
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"examples": [
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],
"group": "connection",
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"title": "Role",
"type": "string"
},
"schema": {
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"examples": [
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],
"group": "connection",
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"title": "Default Schema",
"type": "string"
},
"username": {
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"examples": [
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],
"group": "connection",
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"type": "string"
},
"warehouse": {
"description": "Enter the name of the warehouse that you want to use as a compute cluster",
"examples": [
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],
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"title": "Warehouse",
"type": "string"
}
},
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"sourceType": "database",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"groups": [
{
"id": "connection",
"title": "Connection"
},
{
"id": "sync_behavior",
"title": "Sync Behavior"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"cdc_deletion_mode": {
"always_show": true,
"default": "Hard delete",
"description": "Whether to execute CDC deletions as hard deletes (i.e. propagate source deletions to the destination), or soft deletes (i.e. leave a tombstone record in the destination). Defaults to hard deletes.",
"enum": [
"Hard delete",
"Soft delete"
],
"group": "sync_behavior",
"order": 5,
"title": "CDC deletion mode",
"type": "string"
},
"credentials": {
"description": "Determines the type of authentication that should be used.",
"group": "connection",
"oneOf": [
{
"additionalProperties": true,
"description": "Configuration details for the Key Pair Authentication.",
"properties": {
"auth_type": {
"default": "Key Pair Authentication",
"enum": [
"Key Pair Authentication"
],
"type": "string"
},
"private_key": {
"airbyte_secret": true,
"description": "RSA Private key to use for Snowflake connection. See the docs for more\n information on how to obtain this key.",
"multiline": true,
"order": 0,
"title": "Private Key",
"type": "string"
},
"private_key_password": {
"airbyte_secret": true,
"description": "Passphrase for private key",
"order": 0,
"title": "Passphrase",
"type": "string"
}
},
"required": [
"auth_type",
"private_key"
],
"title": "Key Pair Authentication",
"type": "object"
},
{
"additionalProperties": true,
"description": "Configuration details for the Username and Password Authentication.",
"properties": {
"auth_type": {
"default": "Username and Password",
"enum": [
"Username and Password"
],
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "Enter the password associated with the username.",
"order": 0,
"title": "Password",
"type": "string"
}
},
"required": [
"auth_type",
"password"
],
"title": "Username and Password",
"type": "object"
}
],
"order": 6,
"title": "Authorization Method",
"type": "object"
},
"database": {
"description": "Enter the name of the database you want to sync data into",
"examples": [
"AIRBYTE_DATABASE"
],
"group": "connection",
"order": 3,
"title": "Database",
"type": "string"
},
"disable_type_dedupe": {
"description": "Write the legacy \"raw tables\" format, to enable backwards compatibility with older versions of this connector.",
"group": "advanced",
"order": 7,
"title": "Legacy raw tables",
"type": "boolean"
},
"host": {
"description": "Enter your Snowflake account's locator (in the format ...snowflakecomputing.com)",
"examples": [
"accountname.us-east-2.aws.snowflakecomputing.com",
"accountname.snowflakecomputing.com"
],
"group": "connection",
"order": 0,
"pattern": "^(http(s)?:\\/\\/)?([^./?#]+\\.)?([^./?#]+\\.)?([^./?#]+\\.)?([^./?#]+\\.(snowflakecomputing\\.com|localstack\\.cloud))$",
"pattern_descriptor": "{account_name}.snowflakecomputing.com or {accountname}.{aws_location}.aws.snowflakecomputing.com",
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Enter the additional properties to pass to the JDBC URL string when connecting to the database (formatted as key=value pairs separated by the symbol &). Example: key1=value1&key2=value2&key3=value3",
"group": "advanced",
"order": 10,
"title": "JDBC URL Params",
"type": "string"
},
"raw_data_schema": {
"description": "Airbyte will use this dataset for various internal tables. In legacy raw tables mode, the raw tables will be stored in this dataset. Defaults to \"airbyte_internal\".",
"group": "advanced",
"order": 8,
"title": "Airbyte Internal Table Dataset Name",
"type": "string"
},
"retention_period_days": {
"description": "The number of days of Snowflake Time Travel to enable on the tables. See Snowflake's documentation for more information. Setting a nonzero value will incur increased storage costs in your Snowflake instance.",
"group": "advanced",
"order": 11,
"title": "Data Retention Period (days)",
"type": "integer"
},
"role": {
"description": "Enter the role that you want to use to access Snowflake",
"examples": [
"AIRBYTE_ROLE"
],
"group": "connection",
"order": 1,
"title": "Role",
"type": "string"
},
"schema": {
"description": "Enter the name of the default schema",
"examples": [
"AIRBYTE_SCHEMA"
],
"group": "connection",
"order": 4,
"title": "Default Schema",
"type": "string"
},
"trim_space": {
"default": true,
"description": "Whether Snowflake should trim leading and trailing whitespace from fields during data loading. Disable this option if your data contains meaningful leading or trailing whitespace in string fields that should be preserved.",
"group": "advanced",
"order": 9,
"title": "Trim Whitespace from String Fields",
"type": "boolean"
},
"username": {
"description": "Enter the name of the user you want to use to access the database",
"examples": [
"AIRBYTE_USER"
],
"group": "connection",
"order": 5,
"title": "Username",
"type": "string"
},
"warehouse": {
"description": "Enter the name of the warehouse that you want to use as a compute cluster",
"examples": [
"AIRBYTE_WAREHOUSE"
],
"group": "connection",
"order": 2,
"title": "Warehouse",
"type": "string"
}
},
"required": [
"host",
"role",
"warehouse",
"database",
"schema",
"username"
],
"title": "Snowflake Specification",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/snowflake",
"supported_destination_sync_modes": [
"overwrite",
"append",
"append_dedup"
],
"supportsDBT": false,
"supportsIncremental": true,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsDbt": true,
"supportsRefreshes": true,
"tags": [
"language:java"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 300,
"requireVersionIncrementsInPullRequests": true,
"sl": 300
},
"allowedHosts": {
"hosts": [
"*.snowflakecomputing.com",
"api.openai.com",
"api.cohere.ai",
"${embedding.api_base}"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.2@sha256:9fdb1888c4264cf6fee473649ecb593f56f58e5d0096a87ee0b231777e2e3e73"
},
"connectorTestSuitesOptions": [
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-SNOWFLAKE-CORTEX__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "d9e5418d-f0f4-4d19-a8b1-5630543638e2",
"dockerImageTag": "0.2.28",
"dockerRepository": "airbyte/destination-snowflake-cortex",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/snowflake-cortex",
"externalDocumentationUrls": [
{
"title": "Snowflake Cortex documentation",
"type": "api_reference",
"url": "https://docs.snowflake.com/en/user-guide/snowflake-cortex"
},
{
"title": "Key pair authentication",
"type": "authentication_guide",
"url": "https://docs.snowflake.com/en/user-guide/key-pair-auth"
},
{
"title": "Snowflake SQL reference",
"type": "sql_reference",
"url": "https://docs.snowflake.com/en/sql-reference"
}
],
"generated": {
"git": {
"commit_author": "Aaron (\"AJ\") Steers",
"commit_author_email": "aj@airbyte.io",
"commit_sha": "c343b133c7de7b28e421af8fbe2473c0f0bdd9c2",
"commit_timestamp": "2026-03-30T20:36:32-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-snowflake-cortex/0.2.28.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/destination-snowflake-cortex/latest/metadata.yaml",
"metadata_last_modified": "2026-03-31T03:45:34.593513+00:00",
"registry_entry_generated_at": "2026-03-31T03:45:34.593513+00:00"
}
},
"githubIssueLabel": "destination-snowflake-cortex",
"icon": "snowflake-cortex.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-snowflake-cortex/latest/icon.svg",
"language": "python",
"license": "ELv2",
"name": "Snowflake Cortex",
"packageInfo": {
"cdk_version": "python:1.8.0"
},
"public": true,
"releaseDate": "2024-05-14",
"releaseStage": "beta",
"releases": {},
"remoteRegistries": {
"pypi": {
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"packageName": "airbyte-destination-snowflake-cortex"
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "sync",
"resourceRequirements": {
"memory_limit": "2Gi",
"memory_request": "2Gi"
}
}
]
},
"sourceType": "vectorstore",
"spec": {
"connectionSpecification": {
"description": "The configuration model for the Vector DB based destinations. This model is used to generate the UI for the destination configuration,\nas well as to provide type safety for the configuration passed to the destination.\n\nThe configuration model is composed of four parts:\n* Processing configuration\n* Embedding configuration\n* Indexing configuration\n* Advanced configuration\n\nProcessing, embedding and advanced configuration are provided by this base class, while the indexing configuration is provided by the destination connector in the sub class.",
"groups": [
{
"id": "processing",
"title": "Processing"
},
{
"id": "embedding",
"title": "Embedding"
},
{
"id": "indexing",
"title": "Indexing"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"embedding": {
"description": "Embedding configuration",
"group": "embedding",
"oneOf": [
{
"description": "Use the OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"mode": {
"const": "openai",
"default": "openai",
"enum": [
"openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"title": "OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"mode"
],
"title": "OpenAI",
"type": "object"
},
{
"description": "Use the Cohere API to embed text.",
"properties": {
"cohere_key": {
"airbyte_secret": true,
"title": "Cohere API key",
"type": "string"
},
"mode": {
"const": "cohere",
"default": "cohere",
"enum": [
"cohere"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"cohere_key",
"mode"
],
"title": "Cohere",
"type": "object"
},
{
"description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.",
"properties": {
"mode": {
"const": "fake",
"default": "fake",
"enum": [
"fake"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Fake",
"type": "object"
},
{
"description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"api_base": {
"description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"https://your-resource-name.openai.azure.com"
],
"title": "Resource base URL",
"type": "string"
},
"deployment": {
"description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"your-resource-name"
],
"title": "Deployment",
"type": "string"
},
"mode": {
"const": "azure_openai",
"default": "azure_openai",
"enum": [
"azure_openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"description": "The API key for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"title": "Azure OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"api_base",
"deployment",
"mode"
],
"title": "Azure OpenAI",
"type": "object"
},
{
"description": "Use a service that's compatible with the OpenAI API to embed text.",
"properties": {
"api_key": {
"airbyte_secret": true,
"default": "",
"title": "API key",
"type": "string"
},
"base_url": {
"description": "The base URL for your OpenAI-compatible service",
"examples": [
"https://your-service-name.com"
],
"title": "Base URL",
"type": "string"
},
"dimensions": {
"description": "The number of dimensions the embedding model is generating",
"examples": [
1536,
384
],
"title": "Embedding dimensions",
"type": "integer"
},
"mode": {
"const": "openai_compatible",
"default": "openai_compatible",
"enum": [
"openai_compatible"
],
"title": "Mode",
"type": "string"
},
"model_name": {
"default": "text-embedding-ada-002",
"description": "The name of the model to use for embedding",
"examples": [
"text-embedding-ada-002"
],
"title": "Model name",
"type": "string"
}
},
"required": [
"base_url",
"dimensions",
"mode"
],
"title": "OpenAI-compatible",
"type": "object"
}
],
"title": "Embedding",
"type": "object"
},
"indexing": {
"description": "Snowflake can be used to store vector data and retrieve embeddings.",
"group": "indexing",
"properties": {
"credentials": {
"properties": {
"password": {
"airbyte_secret": true,
"description": "Enter the password you want to use to access the database",
"examples": [
"AIRBYTE_PASSWORD"
],
"order": 7,
"title": "Password",
"type": "string"
}
},
"required": [
"password"
],
"title": "Credentials",
"type": "object"
},
"database": {
"description": "Enter the name of the database that you want to sync data into",
"examples": [
"AIRBYTE_DATABASE"
],
"order": 4,
"title": "Database",
"type": "string"
},
"default_schema": {
"description": "Enter the name of the default schema",
"examples": [
"AIRBYTE_SCHEMA"
],
"order": 5,
"title": "Default Schema",
"type": "string"
},
"host": {
"description": "Enter the account name you want to use to access the database. This is usually the identifier before .snowflakecomputing.com",
"examples": [
"AIRBYTE_ACCOUNT"
],
"order": 1,
"title": "Host",
"type": "string"
},
"role": {
"description": "Enter the role that you want to use to access Snowflake",
"examples": [
"AIRBYTE_ROLE",
"ACCOUNTADMIN"
],
"order": 2,
"title": "Role",
"type": "string"
},
"username": {
"description": "Enter the name of the user you want to use to access the database",
"examples": [
"AIRBYTE_USER"
],
"order": 6,
"title": "Username",
"type": "string"
},
"warehouse": {
"description": "Enter the name of the warehouse that you want to use as a compute cluster",
"examples": [
"AIRBYTE_WAREHOUSE"
],
"order": 3,
"title": "Warehouse",
"type": "string"
}
},
"required": [
"host",
"role",
"warehouse",
"database",
"default_schema",
"username",
"credentials"
],
"title": "Snowflake Connection",
"type": "object"
},
"omit_raw_text": {
"default": false,
"description": "Do not store the text that gets embedded along with the vector and the metadata in the destination. If set to true, only the vector and the metadata will be stored - in this case raw text for LLM use cases needs to be retrieved from another source.",
"group": "advanced",
"title": "Do not store raw text",
"type": "boolean"
},
"processing": {
"group": "processing",
"properties": {
"chunk_overlap": {
"default": 0,
"description": "Size of overlap between chunks in tokens to store in vector store to better capture relevant context",
"title": "Chunk overlap",
"type": "integer"
},
"chunk_size": {
"description": "Size of chunks in tokens to store in vector store (make sure it is not too big for the context if your LLM)",
"maximum": 8191,
"minimum": 1,
"title": "Chunk size",
"type": "integer"
},
"field_name_mappings": {
"default": [],
"description": "List of fields to rename. Not applicable for nested fields, but can be used to rename fields already flattened via dot notation.",
"items": {
"properties": {
"from_field": {
"description": "The field name in the source",
"title": "From field name",
"type": "string"
},
"to_field": {
"description": "The field name to use in the destination",
"title": "To field name",
"type": "string"
}
},
"required": [
"from_field",
"to_field"
],
"title": "FieldNameMappingConfigModel",
"type": "object"
},
"title": "Field name mappings",
"type": "array"
},
"metadata_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.",
"examples": [
"age",
"user",
"user.name"
],
"items": {
"type": "string"
},
"title": "Fields to store as metadata",
"type": "array"
},
"text_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be used to calculate the embedding. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.",
"examples": [
"text",
"user.name",
"users.*.name"
],
"items": {
"type": "string"
},
"title": "Text fields to embed",
"type": "array"
},
"text_splitter": {
"description": "Split text fields into chunks based on the specified method.",
"oneOf": [
{
"description": "Split the text by the list of separators until the chunk size is reached, using the earlier mentioned separators where possible. This is useful for splitting text fields by paragraphs, sentences, words, etc.",
"properties": {
"keep_separator": {
"default": false,
"description": "Whether to keep the separator in the resulting chunks",
"title": "Keep separator",
"type": "boolean"
},
"mode": {
"const": "separator",
"default": "separator",
"enum": [
"separator"
],
"title": "Mode",
"type": "string"
},
"separators": {
"default": [
"\"\\n\\n\"",
"\"\\n\"",
"\" \"",
"\"\""
],
"description": "List of separator strings to split text fields by. The separator itself needs to be wrapped in double quotes, e.g. to split by the dot character, use \".\". To split by a newline, use \"\\n\".",
"items": {
"type": "string"
},
"title": "Separators",
"type": "array"
}
},
"required": [
"mode"
],
"title": "By Separator",
"type": "object"
},
{
"description": "Split the text by Markdown headers down to the specified header level. If the chunk size fits multiple sections, they will be combined into a single chunk.",
"properties": {
"mode": {
"const": "markdown",
"default": "markdown",
"enum": [
"markdown"
],
"title": "Mode",
"type": "string"
},
"split_level": {
"default": 1,
"description": "Level of markdown headers to split text fields by. Headings down to the specified level will be used as split points",
"maximum": 6,
"minimum": 1,
"title": "Split level",
"type": "integer"
}
},
"required": [
"mode"
],
"title": "By Markdown header",
"type": "object"
},
{
"description": "Split the text by suitable delimiters based on the programming language. This is useful for splitting code into chunks.",
"properties": {
"language": {
"description": "Split code in suitable places based on the programming language",
"enum": [
"cpp",
"go",
"java",
"js",
"php",
"proto",
"python",
"rst",
"ruby",
"rust",
"scala",
"swift",
"markdown",
"latex",
"html",
"sol"
],
"title": "Language",
"type": "string"
},
"mode": {
"const": "code",
"default": "code",
"enum": [
"code"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"language",
"mode"
],
"title": "By Programming Language",
"type": "object"
}
],
"title": "Text splitter",
"type": "object"
}
},
"required": [
"chunk_size"
],
"title": "ProcessingConfigModel",
"type": "object"
}
},
"required": [
"embedding",
"processing",
"indexing"
],
"title": "Destination Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/snowflake-cortex",
"supported_destination_sync_modes": [
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"append_dedup"
],
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},
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},
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},
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},
"connectorBuildOptions": {
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},
"connectorTestSuitesOptions": [
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}
],
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"destinationDefinitionId": "de8c3498-80d9-468b-88a1-d4ebb729c3f6",
"dockerImageTag": "0.1.0",
"dockerRepository": "airbyte/destination-surrealdb",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/surrealdb",
"generated": {
"git": {
"commit_author": "Yusuke Kuoka",
"commit_author_email": "ykuoka@gmail.com",
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"oauth2": {
"description": "OAuth2.0 credentials used to authenticate admin actions (creating/deleting corpora)",
"group": "auth",
"properties": {
"client_id": {
"description": "OAuth2.0 client id",
"order": 0,
"title": "OAuth Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "OAuth2.0 client secret",
"order": 1,
"title": "OAuth Client Secret",
"type": "string"
}
},
"required": [
"client_id",
"client_secret"
],
"title": "OAuth2.0 Credentials",
"type": "object"
},
"parallelize": {
"always_show": true,
"default": false,
"description": "Parallelize indexing into Vectara with multiple threads",
"group": "account",
"title": "Parallelize",
"type": "boolean"
},
"text_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be in the section of the document. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.",
"examples": [
"text",
"user.name",
"users.*.name"
],
"items": {
"type": "string"
},
"title": "Text fields to index with Vectara",
"type": "array"
},
"title_field": {
"always_show": true,
"default": "",
"description": "A field that will be used to populate the `title` of each document. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.",
"examples": [
"document_key"
],
"title": "Text field to use as document title with Vectara",
"type": "string"
}
},
"required": [
"oauth2",
"customer_id",
"corpus_name"
],
"title": "Vectara Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/vectara",
"supported_destination_sync_modes": [
"overwrite",
"append"
],
"supportsIncremental": true
},
"supportLevel": "community",
"supportsFileTransfer": false,
"supportsRefreshes": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 300,
"requireVersionIncrementsInPullRequests": true,
"sl": 300
},
"allowedHosts": {
"hosts": [
"${indexing.host}",
"api.openai.com",
"api.cohere.ai",
"${embedding.api_base}"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.2@sha256:9fdb1888c4264cf6fee473649ecb593f56f58e5d0096a87ee0b231777e2e3e73"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-WEAVIATE_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_DESTINATION-WEAVIATE_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "7b7d7a0d-954c-45a0-bcfc-39a634b97736",
"dockerImageTag": "0.2.61",
"dockerRepository": "airbyte/destination-weaviate",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/weaviate",
"externalDocumentationUrls": [
{
"title": "Weaviate documentation",
"type": "api_reference",
"url": "https://weaviate.io/developers/weaviate"
},
{
"title": "Release notes",
"type": "api_release_history",
"url": "https://weaviate.io/developers/weaviate/release-notes"
},
{
"title": "Authentication",
"type": "authentication_guide",
"url": "https://weaviate.io/developers/weaviate/configuration/authentication"
}
],
"generated": {
"git": {
"commit_author": "Aaron (\"AJ\") Steers",
"commit_author_email": "aj@airbyte.io",
"commit_sha": "c343b133c7de7b28e421af8fbe2473c0f0bdd9c2",
"commit_timestamp": "2026-03-30T20:36:32-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-weaviate/0.2.61.spdx.json",
"source_file_info": {
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"metadata_last_modified": "2026-03-31T03:44:31.171350+00:00",
"registry_entry_generated_at": "2026-03-31T03:44:31.171350+00:00"
}
},
"githubIssueLabel": "destination-weaviate",
"icon": "weaviate.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/destination-weaviate/latest/icon.svg",
"language": "python",
"license": "ELv2",
"name": "Weaviate",
"packageInfo": {
"cdk_version": "python:0.81.6"
},
"public": true,
"releaseStage": "alpha",
"releases": {
"breakingChanges": {
"0.2.0": {
"message": "After upgrading, you need to reconfigure the source. For more details check out the migration guide.\n",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/weaviate-migrations#0.2.0",
"upgradeDeadline": "2023-10-01"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/destinations/weaviate-migrations"
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "sync",
"resourceRequirements": {
"memory_limit": "2Gi",
"memory_request": "2Gi"
}
}
]
},
"sourceType": "vectorstore",
"spec": {
"connectionSpecification": {
"description": "The configuration model for the Vector DB based destinations. This model is used to generate the UI for the destination configuration,\nas well as to provide type safety for the configuration passed to the destination.\n\nThe configuration model is composed of four parts:\n* Processing configuration\n* Embedding configuration\n* Indexing configuration\n* Advanced configuration\n\nProcessing, embedding and advanced configuration are provided by this base class, while the indexing configuration is provided by the destination connector in the sub class.",
"groups": [
{
"id": "processing",
"title": "Processing"
},
{
"id": "embedding",
"title": "Embedding"
},
{
"id": "indexing",
"title": "Indexing"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"embedding": {
"description": "Embedding configuration",
"group": "embedding",
"oneOf": [
{
"description": "Do not calculate and pass embeddings to Weaviate. Suitable for clusters with configured vectorizers to calculate embeddings within Weaviate or for classes that should only support regular text search.",
"properties": {
"mode": {
"const": "no_embedding",
"default": "no_embedding",
"enum": [
"no_embedding"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "No external embedding",
"type": "object"
},
{
"description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"api_base": {
"description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"https://your-resource-name.openai.azure.com"
],
"title": "Resource base URL",
"type": "string"
},
"deployment": {
"description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"examples": [
"your-resource-name"
],
"title": "Deployment",
"type": "string"
},
"mode": {
"const": "azure_openai",
"default": "azure_openai",
"enum": [
"azure_openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"description": "The API key for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource",
"title": "Azure OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"api_base",
"deployment",
"mode"
],
"title": "Azure OpenAI",
"type": "object"
},
{
"description": "Use the OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions.",
"properties": {
"mode": {
"const": "openai",
"default": "openai",
"enum": [
"openai"
],
"title": "Mode",
"type": "string"
},
"openai_key": {
"airbyte_secret": true,
"title": "OpenAI API key",
"type": "string"
}
},
"required": [
"openai_key",
"mode"
],
"title": "OpenAI",
"type": "object"
},
{
"description": "Use the Cohere API to embed text.",
"properties": {
"cohere_key": {
"airbyte_secret": true,
"title": "Cohere API key",
"type": "string"
},
"mode": {
"const": "cohere",
"default": "cohere",
"enum": [
"cohere"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"cohere_key",
"mode"
],
"title": "Cohere",
"type": "object"
},
{
"description": "Use a field in the record as the embedding. This is useful if you already have an embedding for your data and want to store it in the vector store.",
"properties": {
"dimensions": {
"description": "The number of dimensions the embedding model is generating",
"examples": [
1536,
384
],
"title": "Embedding dimensions",
"type": "integer"
},
"field_name": {
"description": "Name of the field in the record that contains the embedding",
"examples": [
"embedding",
"vector"
],
"title": "Field name",
"type": "string"
},
"mode": {
"const": "from_field",
"default": "from_field",
"enum": [
"from_field"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"field_name",
"dimensions",
"mode"
],
"title": "From Field",
"type": "object"
},
{
"description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.",
"properties": {
"mode": {
"const": "fake",
"default": "fake",
"enum": [
"fake"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Fake",
"type": "object"
},
{
"description": "Use a service that's compatible with the OpenAI API to embed text.",
"properties": {
"api_key": {
"airbyte_secret": true,
"default": "",
"title": "API key",
"type": "string"
},
"base_url": {
"description": "The base URL for your OpenAI-compatible service",
"examples": [
"https://your-service-name.com"
],
"title": "Base URL",
"type": "string"
},
"dimensions": {
"description": "The number of dimensions the embedding model is generating",
"examples": [
1536,
384
],
"title": "Embedding dimensions",
"type": "integer"
},
"mode": {
"const": "openai_compatible",
"default": "openai_compatible",
"enum": [
"openai_compatible"
],
"title": "Mode",
"type": "string"
},
"model_name": {
"default": "text-embedding-ada-002",
"description": "The name of the model to use for embedding",
"examples": [
"text-embedding-ada-002"
],
"title": "Model name",
"type": "string"
}
},
"required": [
"base_url",
"dimensions",
"mode"
],
"title": "OpenAI-compatible",
"type": "object"
}
],
"title": "Embedding",
"type": "object"
},
"indexing": {
"description": "Indexing configuration",
"group": "indexing",
"properties": {
"additional_headers": {
"default": [],
"description": "Additional HTTP headers to send with every request.",
"examples": [
{
"header_key": "X-OpenAI-Api-Key",
"value": "my-openai-api-key"
}
],
"items": {
"properties": {
"header_key": {
"title": "Header Key",
"type": "string"
},
"value": {
"airbyte_secret": true,
"title": "Header Value",
"type": "string"
}
},
"required": [
"header_key",
"value"
],
"title": "Header",
"type": "object"
},
"title": "Additional headers",
"type": "array"
},
"auth": {
"description": "Authentication method",
"oneOf": [
{
"description": "Authenticate using an API token (suitable for Weaviate Cloud)",
"properties": {
"mode": {
"const": "token",
"default": "token",
"enum": [
"token"
],
"title": "Mode",
"type": "string"
},
"token": {
"airbyte_secret": true,
"description": "API Token for the Weaviate instance",
"title": "API Token",
"type": "string"
}
},
"required": [
"token",
"mode"
],
"title": "API Token",
"type": "object"
},
{
"description": "Authenticate using username and password (suitable for self-managed Weaviate clusters)",
"properties": {
"mode": {
"const": "username_password",
"default": "username_password",
"enum": [
"username_password"
],
"title": "Mode",
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "Password for the Weaviate cluster",
"order": 2,
"title": "Password",
"type": "string"
},
"username": {
"description": "Username for the Weaviate cluster",
"order": 1,
"title": "Username",
"type": "string"
}
},
"required": [
"username",
"password",
"mode"
],
"title": "Username/Password",
"type": "object"
},
{
"description": "Do not authenticate (suitable for locally running test clusters, do not use for clusters with public IP addresses)",
"properties": {
"mode": {
"const": "no_auth",
"default": "no_auth",
"enum": [
"no_auth"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "No Authentication",
"type": "object"
}
],
"order": 2,
"title": "Authentication",
"type": "object"
},
"batch_size": {
"default": 128,
"description": "The number of records to send to Weaviate in each batch",
"title": "Batch Size",
"type": "integer"
},
"default_vectorizer": {
"default": "none",
"description": "The vectorizer to use if new classes need to be created",
"enum": [
"none",
"text2vec-cohere",
"text2vec-huggingface",
"text2vec-openai",
"text2vec-palm",
"text2vec-contextionary",
"text2vec-transformers",
"text2vec-gpt4all"
],
"title": "Default Vectorizer",
"type": "string"
},
"host": {
"description": "The public endpoint of the Weaviate cluster.",
"examples": [
"https://my-cluster.weaviate.network"
],
"order": 1,
"title": "Public Endpoint",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"default": "",
"description": "The tenant ID to use for multi tenancy",
"title": "Tenant ID",
"type": "string"
},
"text_field": {
"default": "text",
"description": "The field in the object that contains the embedded text",
"title": "Text Field",
"type": "string"
}
},
"required": [
"host",
"auth"
],
"title": "Indexing",
"type": "object"
},
"omit_raw_text": {
"default": false,
"description": "Do not store the text that gets embedded along with the vector and the metadata in the destination. If set to true, only the vector and the metadata will be stored - in this case raw text for LLM use cases needs to be retrieved from another source.",
"group": "advanced",
"title": "Do not store raw text",
"type": "boolean"
},
"processing": {
"group": "processing",
"properties": {
"chunk_overlap": {
"default": 0,
"description": "Size of overlap between chunks in tokens to store in vector store to better capture relevant context",
"title": "Chunk overlap",
"type": "integer"
},
"chunk_size": {
"description": "Size of chunks in tokens to store in vector store (make sure it is not too big for the context if your LLM)",
"maximum": 8191,
"minimum": 1,
"title": "Chunk size",
"type": "integer"
},
"field_name_mappings": {
"default": [],
"description": "List of fields to rename. Not applicable for nested fields, but can be used to rename fields already flattened via dot notation.",
"items": {
"properties": {
"from_field": {
"description": "The field name in the source",
"title": "From field name",
"type": "string"
},
"to_field": {
"description": "The field name to use in the destination",
"title": "To field name",
"type": "string"
}
},
"required": [
"from_field",
"to_field"
],
"title": "FieldNameMappingConfigModel",
"type": "object"
},
"title": "Field name mappings",
"type": "array"
},
"metadata_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.",
"examples": [
"age",
"user",
"user.name"
],
"items": {
"type": "string"
},
"title": "Fields to store as metadata",
"type": "array"
},
"text_fields": {
"always_show": true,
"default": [],
"description": "List of fields in the record that should be used to calculate the embedding. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.",
"examples": [
"text",
"user.name",
"users.*.name"
],
"items": {
"type": "string"
},
"title": "Text fields to embed",
"type": "array"
},
"text_splitter": {
"description": "Split text fields into chunks based on the specified method.",
"oneOf": [
{
"description": "Split the text by the list of separators until the chunk size is reached, using the earlier mentioned separators where possible. This is useful for splitting text fields by paragraphs, sentences, words, etc.",
"properties": {
"keep_separator": {
"default": false,
"description": "Whether to keep the separator in the resulting chunks",
"title": "Keep separator",
"type": "boolean"
},
"mode": {
"const": "separator",
"default": "separator",
"enum": [
"separator"
],
"title": "Mode",
"type": "string"
},
"separators": {
"default": [
"\"\\n\\n\"",
"\"\\n\"",
"\" \"",
"\"\""
],
"description": "List of separator strings to split text fields by. The separator itself needs to be wrapped in double quotes, e.g. to split by the dot character, use \".\". To split by a newline, use \"\\n\".",
"items": {
"type": "string"
},
"title": "Separators",
"type": "array"
}
},
"required": [
"mode"
],
"title": "By Separator",
"type": "object"
},
{
"description": "Split the text by Markdown headers down to the specified header level. If the chunk size fits multiple sections, they will be combined into a single chunk.",
"properties": {
"mode": {
"const": "markdown",
"default": "markdown",
"enum": [
"markdown"
],
"title": "Mode",
"type": "string"
},
"split_level": {
"default": 1,
"description": "Level of markdown headers to split text fields by. Headings down to the specified level will be used as split points",
"maximum": 6,
"minimum": 1,
"title": "Split level",
"type": "integer"
}
},
"required": [
"mode"
],
"title": "By Markdown header",
"type": "object"
},
{
"description": "Split the text by suitable delimiters based on the programming language. This is useful for splitting code into chunks.",
"properties": {
"language": {
"description": "Split code in suitable places based on the programming language",
"enum": [
"cpp",
"go",
"java",
"js",
"php",
"proto",
"python",
"rst",
"ruby",
"rust",
"scala",
"swift",
"markdown",
"latex",
"html",
"sol"
],
"title": "Language",
"type": "string"
},
"mode": {
"const": "code",
"default": "code",
"enum": [
"code"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"language",
"mode"
],
"title": "By Programming Language",
"type": "object"
}
],
"title": "Text splitter",
"type": "object"
}
},
"required": [
"chunk_size"
],
"title": "ProcessingConfigModel",
"type": "object"
}
},
"required": [
"embedding",
"processing",
"indexing"
],
"title": "Destination Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/weaviate",
"supported_destination_sync_modes": [
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"append",
"append_dedup"
],
"supportsIncremental": true
},
"supportLevel": "community",
"supportsDataActivation": false,
"tags": [
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"cdk:python"
],
"tombstone": false
},
{
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"ql": 200,
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},
"connectorBuildOptions": {
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},
"connectorTestSuitesOptions": [
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"testConnections": null,
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"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"destinationDefinitionId": "1f7bac7e-53ff-4e0b-b6df-b74aa85cf703",
"dockerImageTag": "0.0.4",
"dockerRepository": "airbyte/destination-yellowbrick",
"documentationUrl": "https://docs.airbyte.com/integrations/destinations/yellowbrick",
"generated": {
"git": {
"commit_author": "Davin Chia",
"commit_author_email": "davinchia@gmail.com",
"commit_sha": "2844fbfeb8f53c510263614fbb02b7caff7285f0",
"commit_timestamp": "2025-06-11T19:42:38-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/destination-yellowbrick/0.0.4.spdx.json",
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},
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"baseImage": "docker.io/airbyte/source-declarative-manifest:7.18.0@sha256:824af10ed1f65718b95de85895d68a065e120584220567ca7765eb0d64b0c0bb"
},
"connectorTestSuitesOptions": [
{
"suite": "liveTests",
"testConnections": [
{
"id": "17415432-092c-4020-ab55-fbb77cf5196e",
"name": "amazon-seller-partner_config_dev_null"
}
]
},
{
"suite": "unitTests"
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_SOURCE-AMAZON-SELLER-PARTNER__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "5.7.6-rc.2",
"dockerRepository": "airbyte/source-amazon-seller-partner",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/amazon-seller-partner",
"erdUrl": "https://dbdocs.io/airbyteio/source-amazon-seller-partner?view=relationships",
"externalDocumentationUrls": [
{
"title": "SP-API Deprecation Schedule",
"type": "api_deprecations",
"url": "https://developer-docs.amazon.com/sp-api/docs/sp-api-deprecations"
},
{
"title": "SP-API documentation",
"type": "api_reference",
"url": "https://developer-docs.amazon.com/sp-api/"
},
{
"title": "SP-API Release Notes",
"type": "api_release_history",
"url": "https://developer-docs.amazon.com/sp-api/docs/sp-api-release-notes"
},
{
"title": "Authorization",
"type": "other",
"url": "https://developer-docs.amazon.com/sp-api/docs/authorizing-selling-partner-api-applications"
},
{
"title": "Usage plans and rate limits",
"type": "other",
"url": "https://developer-docs.amazon.com/sp-api/docs/usage-plans-and-rate-limits-in-the-sp-api"
}
],
"generated": {
"git": {
"commit_author": "Daryna Ishchenko",
"commit_author_email": "darina.ishchenko17@gmail.com",
"commit_sha": "8909ad820e0b48e86f96bba1469659141333c867",
"commit_timestamp": "2026-05-06T17:02:02+03:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-amazon-seller-partner/5.7.6-rc.2.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-amazon-seller-partner/5.7.6-rc.2/metadata.yaml",
"metadata_last_modified": "2026-05-06T14:06:19.937805+00:00",
"registry_entry_generated_at": "2026-05-06T14:06:19.937805+00:00"
}
},
"githubIssueLabel": "source-amazon-seller-partner",
"icon": "amazonsellerpartner.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-amazon-seller-partner/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"maxSecondsBetweenMessages": 14400,
"name": "Amazon Seller Partner",
"packageInfo": {},
"public": true,
"releaseStage": "generally_available",
"releases": {
"breakingChanges": {
"2.0.0": {
"message": "Deprecated FBA reports will be removed permanently from Cloud and Brand Analytics Reports will be removed temporarily. Updates on Brand Analytics Reports can be tracked here: [#32353](https://github.com/airbytehq/airbyte/issues/32353)",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/amazon-seller-partner-migrations#2.0.0",
"upgradeDeadline": "2023-12-11"
},
"3.0.0": {
"message": "Streams `GET_FLAT_FILE_ALL_ORDERS_DATA_BY_ORDER_DATE_GENERAL` and `GET_FLAT_FILE_ALL_ORDERS_DATA_BY_LAST_UPDATE_GENERAL` now have updated schemas. Streams `GET_AMAZON_FULFILLED_SHIPMENTS_DATA_GENERAL`, `GET_LEDGER_DETAIL_VIEW_DATA`, `GET_MERCHANTS_LISTINGS_FYP_REPORT`, `GET_STRANDED_INVENTORY_UI_DATA`, and `GET_V2_SETTLEMENT_REPORT_DATA_FLAT_FILE` now have date-time formatted fields. Users will need to refresh the source schemas and reset these streams after upgrading.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/amazon-seller-partner-migrations#3.0.0",
"upgradeDeadline": "2024-01-12"
},
"4.0.0": {
"message": "Stream `GET_FBA_STORAGE_FEE_CHARGES_DATA` schema has been updated to match Amazon Seller Partner. Users will need to refresh the source schema and reset this stream after upgrading.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/amazon-seller-partner-migrations#4.0.0",
"upgradeDeadline": "2024-03-11"
},
"5.0.0": {
"message": "Deprecated FBA Subscribe and Save report types (GET_FBA_SNS_FORECAST_DATA and GET_FBA_SNS_PERFORMANCE_DATA) have been removed per Amazon SP-API deprecation. See: https://developer-docs.amazon.com/sp-api/changelog/deprecation-of-two-fba-subscribe-and-save-report-types",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/amazon-seller-partner-migrations#5.0.0",
"scopedImpact": [
{
"impactedScopes": [
"GET_FBA_SNS_FORECAST_DATA",
"GET_FBA_SNS_PERFORMANCE_DATA"
],
"scopeType": "stream"
}
],
"upgradeDeadline": "2025-12-18"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/amazon-seller-partner-migrations",
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-amazon-seller-partner"
}
},
"sourceDefinitionId": "e55879a8-0ef8-4557-abcf-ab34c53ec460",
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"app_id": {
"type": "string"
},
"lwa_app_id": {
"type": "string"
},
"lwa_client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"app_id": {
"path_in_connector_config": [
"app_id"
],
"type": "string"
},
"lwa_app_id": {
"path_in_connector_config": [
"lwa_app_id"
],
"type": "string"
},
"lwa_client_secret": {
"path_in_connector_config": [
"lwa_client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_user_input_from_connector_config_specification": {
"properties": {
"account_type": {
"path_in_connector_config": [
"account_type"
],
"type": "string"
},
"region": {
"path_in_connector_config": [
"region"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"auth_type"
],
"predicate_value": "oauth2.0"
},
"connectionSpecification": {
"additionalProperties": true,
"properties": {
"account_type": {
"default": "Seller",
"description": "Type of the Account you're going to authorize the Airbyte application by",
"enum": [
"Seller",
"Vendor"
],
"order": 3,
"title": "AWS Seller Partner Account Type",
"type": "string"
},
"app_id": {
"airbyte_secret": true,
"description": "Your Amazon Application ID.",
"order": 4,
"title": "Application ID",
"type": "string"
},
"auth_type": {
"const": "oauth2.0",
"order": 0,
"title": "Auth Type",
"type": "string"
},
"aws_environment": {
"default": "PRODUCTION",
"description": "Select the AWS Environment.",
"enum": [
"PRODUCTION",
"SANDBOX"
],
"order": 1,
"title": "AWS Environment",
"type": "string"
},
"financial_events_max_results_per_page": {
"default": 100,
"description": "The maximum number of results to return per page for the ListFinancialEvents stream. If the response exceeds the maximum number of transactions or 10 MB, the API returns an InvalidInput error. Lower this value if you encounter InvalidInput errors during sync. Valid range is 1-100.",
"maximum": 100,
"minimum": 1,
"order": 17,
"title": "Financial Events Max Results Per Page",
"type": "integer"
},
"financial_events_step": {
"default": "180D",
"description": "The time window size for fetching financial events data in chunks for the ListFinancialEvents and ListFinancialEventGroups streams. Options include hourly (1H, 6H, 12H) and daily (1D, 7D, 14D, 30D, 60D, 90D, 180D) granularity.\n\n- **Hourly step sizes (e.g., 1H, 6H)** are recommended for very high data volumes where daily windows cause pagination token expiration (TTL errors). They fetch smaller chunks per request, reducing the risk of timeouts.\n- **Daily step sizes (e.g., 1D, 7D)** are better for moderate data volumes. They balance sync speed with API efficiency.\n- **Larger step sizes (e.g., 30D, 180D)** are better for smaller data volumes. They fetch more data per request, speeding up syncing and reducing the number of API calls.\n\nSelect a step size that matches your data volume to optimize syncing speed and API performance.",
"enum": [
"1H",
"2H",
"4H",
"6H",
"8H",
"12H",
"1D",
"7D",
"14D",
"30D",
"60D",
"90D",
"180D"
],
"order": 13,
"title": "Financial Events Step Size",
"type": "string"
},
"include_pii": {
"default": false,
"description": "When enabled, the connector requests a Restricted Data Token (RDT) to access PII fields such as BuyerInfo and ShippingAddress in the Orders and OrderItems streams. Your Amazon SP-API developer profile must have an approved Restricted Role (Direct-to-Consumer Shipping or Tax Invoicing). If the RDT request is denied (HTTP 403), the connector falls back to the standard token automatically and PII fields remain empty.",
"order": 16,
"title": "Include PII (Personally Identifiable Information)",
"type": "boolean"
},
"lwa_app_id": {
"airbyte_secret": true,
"description": "Your Login with Amazon Client ID.",
"order": 5,
"title": "LWA Client Id",
"type": "string"
},
"lwa_client_secret": {
"airbyte_secret": true,
"description": "Your Login with Amazon Client Secret.",
"order": 6,
"title": "LWA Client Secret",
"type": "string"
},
"max_async_job_count": {
"default": 2,
"description": "The maximum number of concurrent asynchronous job requests that can be active at a time.",
"minimum": 1,
"order": 15,
"title": "Maximum Concurrent Async Job Count",
"type": "integer"
},
"max_done_report_age_hours": {
"default": 0,
"description": "When the connector finds an existing completed (DONE) report matching the same date range and marketplace, it can reuse that report instead of creating a new one. This setting controls how old (in hours) a completed report can be and still be reused. Set to 0 to always create new reports. Maximum is 24 hours.",
"maximum": 24,
"minimum": 0,
"order": 14,
"title": "Max Age of Completed Reports to Reuse (Hours)",
"type": "integer"
},
"num_workers": {
"default": 2,
"description": "The number of workers to use for the connector when syncing concurrently.",
"maximum": 10,
"minimum": 2,
"order": 14,
"title": "Number of Workers",
"type": "integer"
},
"period_in_days": {
"default": 90,
"description": "For syncs spanning a large date range, this option is used to request data in a smaller fixed window to improve sync reliability. This time window can be configured granularly by day.",
"minimum": 1,
"order": 10,
"title": "Period In Days",
"type": "integer"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The Refresh Token obtained via OAuth flow authorization.",
"order": 7,
"title": "Refresh Token",
"type": "string"
},
"region": {
"default": "US",
"description": "Select the AWS Region.",
"enum": [
"AE",
"AU",
"BE",
"BR",
"CA",
"DE",
"EG",
"ES",
"FR",
"GB",
"IN",
"IT",
"JP",
"MX",
"NL",
"PL",
"SA",
"SE",
"SG",
"TR",
"UK",
"US"
],
"order": 2,
"title": "AWS Region",
"type": "string"
},
"replication_end_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00Z. Any data after this date will not be replicated.",
"examples": [
"2017-01-25T00:00:00Z"
],
"format": "date-time",
"order": 9,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$|^$",
"title": "End Date",
"type": "string"
},
"replication_start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00Z. Any data before this date will not be replicated. If start date is not provided or older than 2 years ago from today, the date 2 years ago from today will be used.",
"examples": [
"2017-01-25T00:00:00Z"
],
"format": "date-time",
"order": 8,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start Date",
"type": "string"
},
"report_options_list": {
"description": "Additional information passed to reports. This varies by report type.",
"items": {
"properties": {
"options_list": {
"description": "List of options",
"items": {
"properties": {
"option_name": {
"order": 0,
"title": "Name",
"type": "string"
},
"option_value": {
"order": 1,
"title": "Value",
"type": "string"
}
},
"required": [
"option_name",
"option_value"
],
"type": "object"
},
"order": 2,
"title": "List of options",
"type": "array"
},
"report_name": {
"enum": [
"GET_AFN_INVENTORY_DATA",
"GET_AFN_INVENTORY_DATA_BY_COUNTRY",
"GET_AMAZON_FULFILLED_SHIPMENTS_DATA_GENERAL",
"GET_BRAND_ANALYTICS_ALTERNATE_PURCHASE_REPORT",
"GET_BRAND_ANALYTICS_ITEM_COMPARISON_REPORT",
"GET_BRAND_ANALYTICS_MARKET_BASKET_REPORT",
"GET_BRAND_ANALYTICS_REPEAT_PURCHASE_REPORT",
"GET_BRAND_ANALYTICS_SEARCH_TERMS_REPORT",
"GET_FBA_ESTIMATED_FBA_FEES_TXT_DATA",
"GET_FBA_FULFILLMENT_CUSTOMER_RETURNS_DATA",
"GET_FBA_FULFILLMENT_CUSTOMER_SHIPMENT_PROMOTION_DATA",
"GET_FBA_FULFILLMENT_CUSTOMER_SHIPMENT_REPLACEMENT_DATA",
"GET_FBA_FULFILLMENT_REMOVAL_ORDER_DETAIL_DATA",
"GET_FBA_FULFILLMENT_REMOVAL_SHIPMENT_DETAIL_DATA",
"GET_FBA_INVENTORY_PLANNING_DATA",
"GET_FBA_MYI_UNSUPPRESSED_INVENTORY_DATA",
"GET_FBA_REIMBURSEMENTS_DATA",
"GET_FBA_STORAGE_FEE_CHARGES_DATA",
"GET_FLAT_FILE_ACTIONABLE_ORDER_DATA_SHIPPING",
"GET_FLAT_FILE_ALL_ORDERS_DATA_BY_LAST_UPDATE_GENERAL",
"GET_FLAT_FILE_ALL_ORDERS_DATA_BY_ORDER_DATE_GENERAL",
"GET_FLAT_FILE_ARCHIVED_ORDERS_DATA_BY_ORDER_DATE",
"GET_FLAT_FILE_OPEN_LISTINGS_DATA",
"GET_FLAT_FILE_RETURNS_DATA_BY_RETURN_DATE",
"GET_LEDGER_DETAIL_VIEW_DATA",
"GET_LEDGER_SUMMARY_VIEW_DATA",
"GET_MERCHANT_CANCELLED_LISTINGS_DATA",
"GET_MERCHANT_LISTINGS_ALL_DATA",
"GET_MERCHANT_LISTINGS_DATA",
"GET_MERCHANT_LISTINGS_DATA_BACK_COMPAT",
"GET_MERCHANT_LISTINGS_INACTIVE_DATA",
"GET_MERCHANTS_LISTINGS_FYP_REPORT",
"GET_ORDER_REPORT_DATA_SHIPPING",
"GET_RESTOCK_INVENTORY_RECOMMENDATIONS_REPORT",
"GET_SALES_AND_TRAFFIC_REPORT",
"GET_SELLER_FEEDBACK_DATA",
"GET_STRANDED_INVENTORY_UI_DATA",
"GET_V2_SETTLEMENT_REPORT_DATA_FLAT_FILE",
"GET_VENDOR_FORECASTING_REPORT",
"GET_VENDOR_INVENTORY_REPORT",
"GET_VENDOR_REAL_TIME_INVENTORY_REPORT",
"GET_VENDOR_SALES_REPORT",
"GET_XML_ALL_ORDERS_DATA_BY_ORDER_DATE_GENERAL",
"GET_XML_BROWSE_TREE_DATA"
],
"order": 0,
"title": "Report Name",
"type": "string"
},
"stream_name": {
"order": 1,
"title": "Stream Name",
"type": "string"
}
},
"required": [
"report_name",
"stream_name",
"options_list"
],
"title": "Report Options",
"type": "object"
},
"order": 12,
"title": "Report Options",
"type": "array"
},
"sales_and_traffic_report_asin_granularity": {
"default": "PARENT",
"description": "The level of ASIN granularity for the Sales and Traffic report streams. PARENT returns data aggregated at the parent ASIN level. CHILD returns data at the child ASIN level with populated childAsin values. SKU returns data at the individual SKU level with populated childAsin and sku values.",
"enum": [
"PARENT",
"CHILD",
"SKU"
],
"order": 11,
"title": "Sales and Traffic Report ASIN Granularity",
"type": "string"
},
"wait_to_avoid_fatal_errors": {
"airbyte_hidden": true,
"default": false,
"description": "Deprecated - this option is no longer functional and will be removed in a future version. Rate limiting is now handled automatically by the connector.",
"order": 13,
"title": "[Deprecated] Wait between requests to avoid fatal statuses in reports",
"type": "boolean"
}
},
"required": [
"aws_environment",
"region",
"account_type",
"lwa_app_id",
"lwa_client_secret",
"refresh_token"
],
"title": "Amazon Seller Partner Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/amazon-seller-partner",
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"Orders",
"OrderItems",
"ListFinancialEvents",
"ListFinancialEventGroups"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-amazon-seller-partner"
}
},
"sourceDefinitionId": "e55879a8-0ef8-4557-abcf-ab34c53ec460",
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"app_id": {
"type": "string"
},
"lwa_app_id": {
"type": "string"
},
"lwa_client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"app_id": {
"path_in_connector_config": [
"app_id"
],
"type": "string"
},
"lwa_app_id": {
"path_in_connector_config": [
"lwa_app_id"
],
"type": "string"
},
"lwa_client_secret": {
"path_in_connector_config": [
"lwa_client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_user_input_from_connector_config_specification": {
"properties": {
"account_type": {
"path_in_connector_config": [
"account_type"
],
"type": "string"
},
"region": {
"path_in_connector_config": [
"region"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"auth_type"
],
"predicate_value": "oauth2.0"
},
"connectionSpecification": {
"additionalProperties": true,
"properties": {
"account_type": {
"default": "Seller",
"description": "Type of the Account you're going to authorize the Airbyte application by",
"enum": [
"Seller",
"Vendor"
],
"order": 3,
"title": "AWS Seller Partner Account Type",
"type": "string"
},
"app_id": {
"airbyte_secret": true,
"description": "Your Amazon Application ID.",
"order": 4,
"title": "Application ID",
"type": "string"
},
"auth_type": {
"const": "oauth2.0",
"order": 0,
"title": "Auth Type",
"type": "string"
},
"aws_environment": {
"default": "PRODUCTION",
"description": "Select the AWS Environment.",
"enum": [
"PRODUCTION",
"SANDBOX"
],
"order": 1,
"title": "AWS Environment",
"type": "string"
},
"financial_events_max_results_per_page": {
"default": 100,
"description": "The maximum number of results to return per page for the ListFinancialEvents stream. If the response exceeds the maximum number of transactions or 10 MB, the API returns an InvalidInput error. Lower this value if you encounter InvalidInput errors during sync. Valid range is 1-100.",
"maximum": 100,
"minimum": 1,
"order": 17,
"title": "Financial Events Max Results Per Page",
"type": "integer"
},
"financial_events_step": {
"default": "180D",
"description": "The time window size for fetching financial events data in chunks for the ListFinancialEvents and ListFinancialEventGroups streams. Options include hourly (1H, 6H, 12H) and daily (1D, 7D, 14D, 30D, 60D, 90D, 180D) granularity.\n\n- **Hourly step sizes (e.g., 1H, 6H)** are recommended for very high data volumes where daily windows cause pagination token expiration (TTL errors). They fetch smaller chunks per request, reducing the risk of timeouts.\n- **Daily step sizes (e.g., 1D, 7D)** are better for moderate data volumes. They balance sync speed with API efficiency.\n- **Larger step sizes (e.g., 30D, 180D)** are better for smaller data volumes. They fetch more data per request, speeding up syncing and reducing the number of API calls.\n\nSelect a step size that matches your data volume to optimize syncing speed and API performance.",
"enum": [
"1H",
"2H",
"4H",
"6H",
"8H",
"12H",
"1D",
"7D",
"14D",
"30D",
"60D",
"90D",
"180D"
],
"order": 13,
"title": "Financial Events Step Size",
"type": "string"
},
"include_pii": {
"default": false,
"description": "When enabled, the connector requests a Restricted Data Token (RDT) to access PII fields such as BuyerInfo and ShippingAddress in the Orders and OrderItems streams. Your Amazon SP-API developer profile must have an approved Restricted Role (Direct-to-Consumer Shipping or Tax Invoicing). If the RDT request is denied (HTTP 403), the connector falls back to the standard token automatically and PII fields remain empty.",
"order": 16,
"title": "Include PII (Personally Identifiable Information)",
"type": "boolean"
},
"lwa_app_id": {
"airbyte_secret": true,
"description": "Your Login with Amazon Client ID.",
"order": 5,
"title": "LWA Client Id",
"type": "string"
},
"lwa_client_secret": {
"airbyte_secret": true,
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"order": 6,
"title": "LWA Client Secret",
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"order": 14,
"title": "Number of Workers",
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"title": "Period In Days",
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"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_JSONL_NEWLINES__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "jsonl_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_JSONL__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "parquet_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_PARQUET__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "unstructured_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_UNSTRUCTURED__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "avro_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_AVRO__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_custom_encoding_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_CUSTOM_ENCODING__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_custom_format_encoding_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_CUSTOM_FORMAT_ENCODING__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_no_header_config_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_NO_HEADER_CONFIG__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_no_header_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_NO_HEADER__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_skip_rows_no_header_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_SKIP_ROWS_NO_HEADER__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_skip_rows_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_SKIP_ROWS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_user_schema_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_USER_SCHEMA__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_with_nulls_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_WITH_NULLS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "csv_with_null_bools_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_CSV_WITH_NULL_BOOLS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "jsonl_newlines_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_JSONL_NEWLINES__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "jsonl_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_JSONL__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "parquet_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_PARQUET__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "unstructured_config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE_UNSTRUCTURED__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config.json",
"name": "SECRET_SOURCE-AZURE-BLOB-STORAGE__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "0.7.0-rc.1",
"dockerRepository": "airbyte/source-azure-blob-storage",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/azure-blob-storage",
"generated": {
"git": {
"commit_author": "Daryna Ishchenko",
"commit_author_email": "80129833+darynaishchenko@users.noreply.github.com",
"commit_sha": "f66dced5fedd73a876e29f68422cee2c30c85913",
"commit_timestamp": "2025-10-21T18:12:04+03:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-azure-blob-storage/0.7.0-rc.1.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-azure-blob-storage/0.7.0-rc.1/metadata.yaml",
"metadata_last_modified": "2025-10-21T15:21:28.692000+00:00",
"registry_entry_generated_at": "2025-10-21T15:23:01.082031"
}
},
"githubIssueLabel": "source-azure-blob-storage",
"icon": "azureblobstorage.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-azure-blob-storage/latest/icon.svg",
"language": "python",
"license": "ELv2",
"maxSecondsBetweenMessages": 1,
"name": "Azure Blob Storage",
"packageInfo": {
"cdk_version": "python:7.3.9"
},
"public": true,
"releaseStage": "generally_available",
"releases": {
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-azure-blob-storage"
}
},
"sourceDefinitionId": "fdaaba68-4875-4ed9-8fcd-4ae1e0a25093",
"sourceType": "file",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_user_input_from_connector_config_specification": {
"additionalProperties": false,
"properties": {
"tenant_id": {
"path_in_connector_config": [
"credentials",
"tenant_id"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "oauth2"
},
"connectionSpecification": {
"description": "NOTE: When this Spec is changed, legacy_config_transformer.py must also be modified to uptake the changes\nbecause it is responsible for converting legacy Azure Blob Storage v0 configs into v1 configs using the File-Based CDK.",
"properties": {
"azure_blob_storage_account_name": {
"description": "The account's name of the Azure Blob Storage.",
"examples": [
"airbyte5storage"
],
"order": 3,
"title": "Azure Blob Storage account name",
"type": "string"
},
"azure_blob_storage_container_name": {
"description": "The name of the Azure blob storage container.",
"examples": [
"airbytetescontainername"
],
"order": 4,
"title": "Azure blob storage container (Bucket) Name",
"type": "string"
},
"azure_blob_storage_endpoint": {
"description": "This is Azure Blob Storage endpoint domain name. Leave default value (or leave it empty if run container from command line) to use Microsoft native from example.",
"examples": [
"blob.core.windows.net"
],
"order": 11,
"title": "Endpoint Domain Name",
"type": "string"
},
"credentials": {
"description": "Credentials for connecting to the Azure Blob Storage",
"oneOf": [
{
"properties": {
"auth_type": {
"const": "oauth2",
"default": "oauth2",
"enum": [
"oauth2"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token of your Microsoft developer application",
"title": "Refresh Token",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft Azure Application user",
"title": "Tenant ID",
"type": "string"
}
},
"required": [
"tenant_id",
"client_id",
"client_secret",
"refresh_token",
"auth_type"
],
"title": "Authenticate via Oauth2",
"type": "object"
},
{
"properties": {
"app_client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"app_client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"app_tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft Azure Application",
"title": "Tenant ID",
"type": "string"
},
"auth_type": {
"const": "client_credentials",
"default": "client_credentials",
"enum": [
"client_credentials"
],
"title": "Auth Type",
"type": "string"
}
},
"required": [
"app_tenant_id",
"app_client_id",
"app_client_secret",
"auth_type"
],
"title": "Authenticate via Client Credentials",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "storage_account_key",
"default": "storage_account_key",
"enum": [
"storage_account_key"
],
"title": "Auth Type",
"type": "string"
},
"azure_blob_storage_account_key": {
"airbyte_secret": true,
"description": "The Azure blob storage account key.",
"examples": [
"Z8ZkZpteggFx394vm+PJHnGTvdRncaYS+JhLKdj789YNmD+iyGTnG+PV+POiuYNhBg/ACS+LKjd%4FG3FHGN12Nd=="
],
"order": 3,
"title": "Azure Blob Storage account key",
"type": "string"
}
},
"required": [
"azure_blob_storage_account_key",
"auth_type"
],
"title": "Authenticate via Storage Account Key",
"type": "object"
}
],
"order": 2,
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"airbyte_hidden": true,
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 7,
"title": "Delivery Method",
"type": "object"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"inference_type": {
"airbyte_hidden": true,
"default": "None",
"description": "How to infer the types of the columns. If none, inference default to strings.",
"enum": [
"None",
"Primitive Types Only"
],
"title": "Inference Type"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"legacy_prefix": {
"airbyte_hidden": true,
"description": "The path prefix configured in v3 versions of the S3 connector. This option is deprecated in favor of a single glob.",
"title": "Legacy Prefix",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
}
},
"required": [
"streams",
"credentials",
"azure_blob_storage_account_name",
"azure_blob_storage_container_name"
],
"title": "SourceAzureBlobStorageSpec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/azure-blob-storage",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-azure-blob-storage"
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "check_connection",
"resourceRequirements": {
"memory_limit": "4096Mi",
"memory_request": "4096Mi"
}
}
]
},
"sourceDefinitionId": "fdaaba68-4875-4ed9-8fcd-4ae1e0a25093",
"sourceType": "file",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_user_input_from_connector_config_specification": {
"additionalProperties": false,
"properties": {
"tenant_id": {
"path_in_connector_config": [
"credentials",
"tenant_id"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "oauth2"
},
"connectionSpecification": {
"description": "NOTE: When this Spec is changed, legacy_config_transformer.py must also be modified to uptake the changes\nbecause it is responsible for converting legacy Azure Blob Storage v0 configs into v1 configs using the File-Based CDK.",
"properties": {
"azure_blob_storage_account_name": {
"description": "The account's name of the Azure Blob Storage.",
"examples": [
"airbyte5storage"
],
"order": 3,
"title": "Azure Blob Storage account name",
"type": "string"
},
"azure_blob_storage_container_name": {
"description": "The name of the Azure blob storage container.",
"examples": [
"airbytetescontainername"
],
"order": 4,
"title": "Azure blob storage container (Bucket) Name",
"type": "string"
},
"azure_blob_storage_endpoint": {
"description": "This is Azure Blob Storage endpoint domain name. Leave default value (or leave it empty if run container from command line) to use Microsoft native from example.",
"examples": [
"blob.core.windows.net"
],
"order": 11,
"title": "Endpoint Domain Name",
"type": "string"
},
"credentials": {
"description": "Credentials for connecting to the Azure Blob Storage",
"oneOf": [
{
"properties": {
"auth_type": {
"const": "oauth2",
"default": "oauth2",
"enum": [
"oauth2"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token of your Microsoft developer application",
"title": "Refresh Token",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft Azure Application user",
"title": "Tenant ID",
"type": "string"
}
},
"required": [
"tenant_id",
"client_id",
"client_secret",
"refresh_token",
"auth_type"
],
"title": "Authenticate via Oauth2",
"type": "object"
},
{
"properties": {
"app_client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"app_client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"app_tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft Azure Application",
"title": "Tenant ID",
"type": "string"
},
"auth_type": {
"const": "client_credentials",
"default": "client_credentials",
"enum": [
"client_credentials"
],
"title": "Auth Type",
"type": "string"
}
},
"required": [
"app_tenant_id",
"app_client_id",
"app_client_secret",
"auth_type"
],
"title": "Authenticate via Client Credentials",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "storage_account_key",
"default": "storage_account_key",
"enum": [
"storage_account_key"
],
"title": "Auth Type",
"type": "string"
},
"azure_blob_storage_account_key": {
"airbyte_secret": true,
"description": "The Azure blob storage account key.",
"examples": [
"Z8ZkZpteggFx394vm+PJHnGTvdRncaYS+JhLKdj789YNmD+iyGTnG+PV+POiuYNhBg/ACS+LKjd%4FG3FHGN12Nd=="
],
"order": 3,
"title": "Azure Blob Storage account key",
"type": "string"
}
},
"required": [
"azure_blob_storage_account_key",
"auth_type"
],
"title": "Authenticate via Storage Account Key",
"type": "object"
}
],
"order": 2,
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 7,
"title": "Delivery Method",
"type": "object"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01",
"2021-01-01T00:00:00Z",
"2021-01-01T00:00:00.000Z",
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}(T[0-9]{2}:[0-9]{2}:[0-9]{2}(\\.[0-9]+)?(Z|[+-][0-9]{2}:[0-9]{2})?)?$",
"pattern_descriptor": "YYYY-MM-DD, YYYY-MM-DDTHH:mm:ssZ, or YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"inference_type": {
"airbyte_hidden": true,
"default": "None",
"description": "How to infer the types of the columns. If none, inference default to strings.",
"enum": [
"None",
"Primitive Types Only"
],
"title": "Inference Type"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
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"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"legacy_prefix": {
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"description": "The path prefix configured in v3 versions of the S3 connector. This option is deprecated in favor of a single glob.",
"title": "Legacy Prefix",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
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"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
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"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"use_first_found_file_for_schema_discovery": {
"default": false,
"description": "When enabled, the source will use the first found file for schema discovery. Helps to avoid long discovery step.",
"title": "Use First Found File For Schema Discover",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
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"title": "Validation Policy"
}
},
"required": [
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"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
}
},
"required": [
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"credentials",
"azure_blob_storage_account_name",
"azure_blob_storage_container_name"
],
"title": "SourceAzureBlobStorageSpec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/azure-blob-storage",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": true,
"tags": [
"language:python",
"cdk:python-file-based"
],
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},
{
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"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
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"id": "2a0b88ec-45fe-43bb-9d97-ec98d94f7c57",
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]
},
{
"suite": "unitTests"
},
{
"suite": "acceptanceTests",
"testSecrets": [
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"name": "SECRET_SOURCE_AZURE_TABLE__CREDS",
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"type": "GSM"
}
}
]
}
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"title": "Credentials JSON",
"type": "string"
},
"dataset_id": {
"description": "The dataset ID to search for tables and views. If you are only loading data from one dataset, setting this option could result in much faster schema discovery.",
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"type": "string"
},
"project_id": {
"description": "The GCP project ID for the project containing the target BigQuery dataset.",
"title": "Project ID",
"type": "string"
}
},
"required": [
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"title": "BigQuery Source Spec",
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{
"fileName": "config_no_date.json",
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},
"connectionSpecification": {
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"additionalProperties": true,
"properties": {
"account_names": {
"description": "Predicates that will be used to sync data by specific accounts.",
"items": {
"description": "Account Names Predicates Config.",
"properties": {
"name": {
"description": "Account Name is a string value for comparing with the specified predicate.",
"title": "Account Name",
"type": "string"
},
"operator": {
"description": "An Operator that will be used to filter accounts. The Contains predicate has features for matching words, matching inflectional forms of words, searching using wildcard characters, and searching using proximity. The Equals is used to return all rows where account name is equal(=) to the string that you provided",
"enum": [
"Contains",
"Equals"
],
"title": "Operator",
"type": "string"
}
},
"required": [
"operator",
"name"
],
"type": "object"
},
"order": 5,
"title": "Account Names Predicates",
"type": "array"
},
"auth_method": {
"const": "oauth2.0",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The Client ID of your Microsoft Advertising developer application.",
"order": 1,
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"default": "",
"description": "The Client Secret of your Microsoft Advertising developer application.",
"order": 2,
"title": "Client Secret",
"type": "string"
},
"custom_reports": {
"description": "You can add your Custom Bing Ads report by creating one.",
"items": {
"properties": {
"disable_custom_report_names_camel_to_snake_conversion": {
"default": false,
"description": "When enabled, disables the automatic conversion of custom report names from camelCase to snake_case. By default, custom report names are automatically converted (e.g., 'MyCustomReport' becomes 'my_custom_report'). Enable this option if you want to use the exact report names you specify.",
"title": "Disable Custom Report Names Camel to Snake Case Conversion",
"type": "boolean"
},
"name": {
"description": "The name of the custom report, this name would be used as stream name",
"examples": [
"Account Performance",
"AdDynamicTextPerformanceReport",
"custom report"
],
"title": "Report Name",
"type": "string"
},
"report_aggregation": {
"default": [
"Hourly"
],
"description": "A list of available aggregations.",
"items": {
"description": "An enumeration of aggregations.",
"enum": [
"Hourly",
"Daily",
"Weekly",
"Monthly",
"DayOfWeek",
"HourOfDay",
"WeeklyStartingMonday",
"Summary"
],
"title": "ValidEnums"
},
"title": "Aggregation",
"type": "string"
},
"report_columns": {
"description": "A list of available report object columns. You can find it in description of reporting object that you want to add to custom report.",
"items": {
"description": "Name of report column.",
"type": "string"
},
"minItems": 1,
"title": "Columns",
"type": "array"
},
"reporting_object": {
"description": "The name of the the object derives from the ReportRequest object. You can find it in Bing Ads Api docs - Reporting API - Reporting Data Objects.",
"enum": [
"AccountPerformanceReportRequest",
"AdDynamicTextPerformanceReportRequest",
"AdExtensionByAdReportRequest",
"AdExtensionByKeywordReportRequest",
"AdExtensionDetailReportRequest",
"AdGroupPerformanceReportRequest",
"AdPerformanceReportRequest",
"AgeGenderAudienceReportRequest",
"AudiencePerformanceReportRequest",
"CallDetailReportRequest",
"CampaignPerformanceReportRequest",
"ConversionPerformanceReportRequest",
"DestinationUrlPerformanceReportRequest",
"DSAAutoTargetPerformanceReportRequest",
"DSACategoryPerformanceReportRequest",
"DSASearchQueryPerformanceReportRequest",
"GeographicPerformanceReportRequest",
"GoalsAndFunnelsReportRequest",
"HotelDimensionPerformanceReportRequest",
"HotelGroupPerformanceReportRequest",
"KeywordPerformanceReportRequest",
"NegativeKeywordConflictReportRequest",
"ProductDimensionPerformanceReportRequest",
"ProductMatchCountReportRequest",
"ProductNegativeKeywordConflictReportRequest",
"ProductPartitionPerformanceReportRequest",
"ProductPartitionUnitPerformanceReportRequest",
"ProductSearchQueryPerformanceReportRequest",
"ProfessionalDemographicsAudienceReportRequest",
"PublisherUsagePerformanceReportRequest",
"SearchCampaignChangeHistoryReportRequest",
"SearchQueryPerformanceReportRequest",
"ShareOfVoiceReportRequest",
"UserLocationPerformanceReportRequest"
],
"title": "Reporting Data Object",
"type": "string"
}
},
"required": [
"name",
"reporting_object",
"report_columns",
"report_aggregation"
],
"title": "Custom Report Config",
"type": "object"
},
"order": 8,
"title": "Custom Reports",
"type": "array"
},
"developer_token": {
"airbyte_secret": true,
"description": "Developer token associated with user. See more info in the docs.",
"order": 4,
"title": "Developer Token",
"type": "string"
},
"lookback_window": {
"default": 0,
"description": "Also known as attribution or conversion window. How far into the past to look for records (in days). If your conversion window has an hours/minutes granularity, round it up to the number of days exceeding. Used only for performance report streams in incremental mode without specified Reports Start Date.",
"maximum": 90,
"minimum": 0,
"order": 7,
"title": "Lookback window",
"type": "integer"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token to renew the expired Access Token.",
"order": 3,
"title": "Refresh Token",
"type": "string"
},
"reports_start_date": {
"description": "The start date from which to begin replicating report data. Any data generated before this date will not be replicated in reports. This is a UTC date in YYYY-MM-DD format. If not set, data from previous and current calendar year will be replicated.",
"format": "date",
"order": 6,
"title": "Reports replication start date",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"default": "common",
"description": "The Tenant ID of your Microsoft Advertising developer application. Set this to \"common\" unless you know you need a different value.",
"order": 0,
"title": "Tenant ID",
"type": "string"
}
},
"required": [
"developer_token",
"client_id",
"refresh_token"
],
"title": "Bing Ads Spec",
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"campaigns",
"ad_performance_report_daily",
"campaign_performance_report_daily",
"account_performance_report_daily",
"ad_group_performance_report_daily",
"accounts",
"ad_groups"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
}
},
"rolloutConfiguration": {
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"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
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"enabled": false,
"packageName": "airbyte-source-bing-ads"
}
},
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"sourceType": "api",
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"properties": {
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"path_in_connector_config": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
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"properties": {
"client_id": {
"type": "string"
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"client_secret": {
"type": "string"
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"properties": {
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"path_in_connector_config": [
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"items": {
"description": "Account Names Predicates Config.",
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"description": "Account Name is a string value for comparing with the specified predicate.",
"title": "Account Name",
"type": "string"
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"description": "An Operator that will be used to filter accounts. The Contains predicate has features for matching words, matching inflectional forms of words, searching using wildcard characters, and searching using proximity. The Equals is used to return all rows where account name is equal(=) to the string that you provided",
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"type": "array"
},
"auth_method": {
"const": "oauth2.0",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The Client ID of your Microsoft Advertising developer application.",
"order": 1,
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"default": "",
"description": "The Client Secret of your Microsoft Advertising developer application.",
"order": 2,
"title": "Client Secret",
"type": "string"
},
"custom_reports": {
"description": "You can add your Custom Bing Ads report by creating one.",
"items": {
"properties": {
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"default": false,
"description": "When enabled, disables the automatic conversion of custom report names from camelCase to snake_case. By default, custom report names are automatically converted (e.g., 'MyCustomReport' becomes 'my_custom_report'). Enable this option if you want to use the exact report names you specify.",
"title": "Disable Custom Report Names Camel to Snake Case Conversion",
"type": "boolean"
},
"name": {
"description": "The name of the custom report, this name would be used as stream name",
"examples": [
"Account Performance",
"AdDynamicTextPerformanceReport",
"custom report"
],
"title": "Report Name",
"type": "string"
},
"report_aggregation": {
"default": [
"Hourly"
],
"description": "A list of available aggregations.",
"items": {
"description": "An enumeration of aggregations.",
"enum": [
"Hourly",
"Daily",
"Weekly",
"Monthly",
"DayOfWeek",
"HourOfDay",
"WeeklyStartingMonday",
"Summary"
],
"title": "ValidEnums"
},
"title": "Aggregation",
"type": "string"
},
"report_columns": {
"description": "A list of available report object columns. You can find it in description of reporting object that you want to add to custom report.",
"items": {
"description": "Name of report column.",
"type": "string"
},
"minItems": 1,
"title": "Columns",
"type": "array"
},
"reporting_object": {
"description": "The name of the the object derives from the ReportRequest object. You can find it in Bing Ads Api docs - Reporting API - Reporting Data Objects.",
"enum": [
"AccountPerformanceReportRequest",
"AdDynamicTextPerformanceReportRequest",
"AdExtensionByAdReportRequest",
"AdExtensionByKeywordReportRequest",
"AdExtensionDetailReportRequest",
"AdGroupPerformanceReportRequest",
"AdPerformanceReportRequest",
"AgeGenderAudienceReportRequest",
"AudiencePerformanceReportRequest",
"CallDetailReportRequest",
"CampaignPerformanceReportRequest",
"ConversionPerformanceReportRequest",
"DestinationUrlPerformanceReportRequest",
"DSAAutoTargetPerformanceReportRequest",
"DSACategoryPerformanceReportRequest",
"DSASearchQueryPerformanceReportRequest",
"GeographicPerformanceReportRequest",
"GoalsAndFunnelsReportRequest",
"HotelDimensionPerformanceReportRequest",
"HotelGroupPerformanceReportRequest",
"KeywordPerformanceReportRequest",
"NegativeKeywordConflictReportRequest",
"ProductDimensionPerformanceReportRequest",
"ProductMatchCountReportRequest",
"ProductNegativeKeywordConflictReportRequest",
"ProductPartitionPerformanceReportRequest",
"ProductPartitionUnitPerformanceReportRequest",
"ProductSearchQueryPerformanceReportRequest",
"ProfessionalDemographicsAudienceReportRequest",
"PublisherUsagePerformanceReportRequest",
"SearchCampaignChangeHistoryReportRequest",
"SearchQueryPerformanceReportRequest",
"ShareOfVoiceReportRequest",
"UserLocationPerformanceReportRequest"
],
"title": "Reporting Data Object",
"type": "string"
}
},
"required": [
"name",
"reporting_object",
"report_columns",
"report_aggregation"
],
"title": "Custom Report Config",
"type": "object"
},
"order": 8,
"title": "Custom Reports",
"type": "array"
},
"developer_token": {
"airbyte_secret": true,
"description": "Developer token associated with user. See more info in the docs.",
"order": 4,
"title": "Developer Token",
"type": "string"
},
"lookback_window": {
"default": 0,
"description": "Also known as attribution or conversion window. How far into the past to look for records (in days). If your conversion window has an hours/minutes granularity, round it up to the number of days exceeding. Used only for performance report streams in incremental mode without specified Reports Start Date.",
"maximum": 90,
"minimum": 0,
"order": 7,
"title": "Lookback window",
"type": "integer"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token to renew the expired Access Token.",
"order": 3,
"title": "Refresh Token",
"type": "string"
},
"reports_start_date": {
"description": "The start date from which to begin replicating report data. Any data generated before this date will not be replicated in reports. This is a UTC date in YYYY-MM-DD format. If not set, data from previous and current calendar year will be replicated.",
"format": "date",
"order": 6,
"title": "Reports replication start date",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"default": "common",
"description": "The Tenant ID of your Microsoft Advertising developer application. Set this to \"common\" unless you know you need a different value.",
"order": 0,
"title": "Tenant ID",
"type": "string"
}
},
"required": [
"developer_token",
"client_id",
"refresh_token"
],
"title": "Bing Ads Spec",
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"campaigns",
"ad_performance_report_daily",
"campaign_performance_report_daily",
"account_performance_report_daily",
"ad_group_performance_report_daily",
"accounts",
"ad_groups"
]
},
"supportLevel": "certified",
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"tags": [
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"tombstone": false
},
{
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"ql": 100,
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"url": "https://dev.bitly.com/api-reference/"
},
{
"title": "Authentication",
"type": "authentication_guide",
"url": "https://dev.bitly.com/docs/getting-started/authentication/"
},
{
"title": "Rate limits",
"type": "rate_limits",
"url": "https://dev.bitly.com/docs/getting-started/rate-limits/"
}
],
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}
},
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},
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},
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{
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"allowedHosts": {
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"type": "api_reference",
"url": "https://developers.google.com/blogger/docs/3.0/reference"
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{
"title": "Authentication",
"type": "authentication_guide",
"url": "https://developers.google.com/blogger/docs/3.0/using#authentication"
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"order": 2,
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"order": 1,
"title": "Client secret",
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},
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},
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},
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{
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"ql": 100,
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"allowedHosts": {
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]
},
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"dockerRepository": "airbyte/source-bluetally",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/bluetally",
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"url": "https://bluetally.readme.io/"
}
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"3.1.0": {
"message": "The `AdsInsights` Reports now don't have the possibility to fetch the root level properties `cost_per_conversion_lead` and `conversion_lead_rate`. These will therefore be removed.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/facebook-marketing-migrations#3.1.0",
"upgradeDeadline": "2024-06-14"
},
"4.0.0": {
"message": "Several fields have been deprecated for the `AdCreatives` stream. `instagram_actor_id`, `effective_instagram_story_id`, `instagram_story_id` have been replaced with `instagram_user_id`, `effective_instagram_media_id`, `source_instagram_media_id` respectively.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/facebook-marketing-migrations#4.0.0",
"scopedImpact": [
{
"impactedScopes": [
"ad_creatives"
],
"scopeType": "stream"
}
],
"upgradeDeadline": "2025-09-08"
},
"5.0.0": {
"message": "This update includes multiple breaking schema changes: (1) Custom Insights streams now use level-based primary keys \u2014 when `level` is set to `adset`, `campaign`, or `account`, the primary key will use `adset_id`, `campaign_id`, or just `account_id` respectively, instead of always using `ad_id`. (2) The deprecated `7d_view` and `28d_view` attribution window columns have been removed from all Ads Insights streams, as Meta stopped returning data for these windows on January 12, 2026. (3) The `wish_bid` field has been removed from Ads Insights streams. All users should refresh their source schema and reset affected streams after upgrading. For more information, see the [migration guide](https://docs.airbyte.com/integrations/sources/facebook-marketing-migrations).",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/facebook-marketing-migrations#5.0.0",
"upgradeDeadline": "2026-04-10"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/facebook-marketing-migrations",
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-facebook-marketing"
}
},
"sourceDefinitionId": "e7778cfc-e97c-4458-9ecb-b4f2bba8946c",
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"properties": {
"access_token": {
"path_in_connector_config": [
"credentials",
"access_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": true,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"changelogUrl": "https://docs.airbyte.com/integrations/sources/facebook-marketing",
"connectionSpecification": {
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "The value of the generated access token. From your App\u2019s Dashboard, click on \"Marketing API\" then \"Tools\". Select permissions ads_management, ads_read, read_insights, business_management. Then click on \"Get token\". See the docs for more information.",
"order": 1,
"title": "Access Token",
"type": "string"
},
"account_ids": {
"description": "The Facebook Ad account ID(s) to pull data from. The Ad account ID number is in the account dropdown menu or in your browser's address bar of your Meta Ads Manager. See the docs for more information.",
"examples": [
"111111111111111"
],
"items": {
"pattern": "^[0-9]+$",
"type": "string"
},
"minItems": 1,
"order": 0,
"pattern_descriptor": "The Ad Account ID must be a number.",
"title": "Ad Account ID(s)",
"type": "array",
"uniqueItems": true
},
"action_breakdowns_allow_empty": {
"airbyte_hidden": true,
"default": true,
"description": "Allows action_breakdowns to be an empty list",
"title": "Action Breakdowns Allow Empty",
"type": "boolean"
},
"ad_statuses": {
"default": [],
"description": "Select the statuses you want to be loaded in the stream. If no specific statuses are selected, the API's default behavior applies, and some statuses may be filtered out.",
"items": {
"description": "An enumeration.",
"enum": [
"ACTIVE",
"ADSET_PAUSED",
"ARCHIVED",
"CAMPAIGN_PAUSED",
"DELETED",
"DISAPPROVED",
"IN_PROCESS",
"PAUSED",
"PENDING_BILLING_INFO",
"PENDING_REVIEW",
"PREAPPROVED",
"WITH_ISSUES"
],
"title": "ValidAdStatuses"
},
"order": 6,
"title": "Ad Statuses",
"type": "array"
},
"adset_statuses": {
"default": [],
"description": "Select the statuses you want to be loaded in the stream. If no specific statuses are selected, the API's default behavior applies, and some statuses may be filtered out.",
"items": {
"description": "An enumeration.",
"enum": [
"ACTIVE",
"ARCHIVED",
"CAMPAIGN_PAUSED",
"DELETED",
"IN_PROCESS",
"PAUSED",
"WITH_ISSUES"
],
"title": "ValidAdSetStatuses"
},
"order": 5,
"title": "AdSet Statuses",
"type": "array"
},
"campaign_statuses": {
"default": [],
"description": "Select the statuses you want to be loaded in the stream. If no specific statuses are selected, the API's default behavior applies, and some statuses may be filtered out.",
"items": {
"description": "An enumeration.",
"enum": [
"ACTIVE",
"ARCHIVED",
"DELETED",
"IN_PROCESS",
"PAUSED",
"WITH_ISSUES"
],
"title": "ValidCampaignStatuses"
},
"order": 4,
"title": "Campaign Statuses",
"type": "array"
},
"client_id": {
"airbyte_hidden": true,
"airbyte_secret": true,
"description": "The Client Id for your OAuth app",
"title": "Client Id",
"type": "string"
},
"client_secret": {
"airbyte_hidden": true,
"airbyte_secret": true,
"description": "The Client Secret for your OAuth app",
"title": "Client Secret",
"type": "string"
},
"credentials": {
"description": "Credentials for connecting to the Facebook Marketing API",
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "The value of the generated access token. From your App\u2019s Dashboard, click on \"Marketing API\" then \"Tools\". Select permissions ads_management, ads_read, read_insights, business_management. Then click on \"Get token\". See the docs for more information.",
"title": "Access Token",
"type": "string"
},
"auth_type": {
"const": "Client",
"default": "Client",
"enum": [
"Client"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID for the Facebook Marketing API",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret for the Facebook Marketing API",
"title": "Client Secret",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"auth_type"
],
"title": "Authenticate via Facebook Marketing (Oauth)",
"type": "object"
},
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "The value of the generated access token. From your App\u2019s Dashboard, click on \"Marketing API\" then \"Tools\". Select permissions ads_management, ads_read, read_insights, business_management. Then click on \"Get token\". See the docs for more information.",
"title": "Access Token",
"type": "string"
},
"auth_type": {
"const": "Service",
"default": "Service",
"enum": [
"Service"
],
"title": "Auth Type",
"type": "string"
}
},
"required": [
"access_token",
"auth_type"
],
"title": "Service Account Key Authentication",
"type": "object"
}
],
"title": "Authentication",
"type": "object"
},
"custom_insights": {
"description": "A list which contains ad statistics entries, each entry must have a name and can contains fields, breakdowns or action_breakdowns. Click on \"add\" to fill this field.",
"items": {
"description": "Config for custom insights",
"properties": {
"action_breakdowns": {
"default": [],
"description": "A list of chosen action_breakdowns for action_breakdowns",
"items": {
"description": "An enumeration.",
"enum": [
"action_canvas_component_name",
"action_carousel_card_id",
"action_carousel_card_name",
"action_destination",
"action_device",
"action_reaction",
"action_target_id",
"action_type",
"action_video_sound",
"action_video_type",
"conversion_destination",
"matched_persona_id",
"matched_persona_name",
"signal_source_bucket",
"standard_event_content_type"
],
"title": "ValidActionBreakdowns"
},
"title": "Action Breakdowns",
"type": "array"
},
"action_report_time": {
"airbyte_hidden": true,
"default": "mixed",
"description": "Determines the report time of action stats. For example, if a person saw the ad on Jan 1st but converted on Jan 2nd, when you query the API with action_report_time=impression, you see a conversion on Jan 1st. When you query the API with action_report_time=conversion, you see a conversion on Jan 2nd.",
"enum": [
"conversion",
"impression",
"mixed"
],
"title": "Action Report Time",
"type": "string"
},
"breakdowns": {
"default": [],
"description": "A list of chosen breakdowns for breakdowns",
"items": {
"description": "An enumeration.",
"enum": [
"ad_extension_domain",
"ad_extension_url",
"ad_format_asset",
"age",
"app_id",
"body_asset",
"breakdown_ad_objective",
"breakdown_reporting_ad_id",
"call_to_action_asset",
"coarse_conversion_value",
"comscore_market",
"conversion_destination",
"country",
"creative_automation_asset_id",
"creative_relaxation_asset_type",
"crm_advertiser_l12_territory_ids",
"crm_advertiser_subvertical_id",
"crm_advertiser_vertical_id",
"crm_ult_advertiser_id",
"description_asset",
"device_platform",
"dma",
"fidelity_type",
"flexible_format_asset_type",
"frequency_value",
"gen_ai_asset_type",
"gender",
"hourly_stats_aggregated_by_advertiser_time_zone",
"hourly_stats_aggregated_by_audience_time_zone",
"hsid",
"image_asset",
"impression_device",
"impression_view_time_advertiser_hour_v2",
"is_auto_advance",
"is_conversion_id_modeled",
"is_rendered_as_delayed_skip_ad",
"landing_destination",
"link_url_asset",
"marketing_messages_btn_name",
"mdsa_landing_destination",
"media_asset_url",
"media_creator",
"media_destination_url",
"media_format",
"media_origin_url",
"media_text_content",
"media_type",
"mmm",
"place_page_id",
"platform_position",
"postback_sequence_index",
"product_brand_breakdown",
"product_category_breakdown",
"product_custom_label_0_breakdown",
"product_custom_label_1_breakdown",
"product_custom_label_2_breakdown",
"product_custom_label_3_breakdown",
"product_custom_label_4_breakdown",
"product_group_content_id_breakdown",
"product_id",
"product_set_id_breakdown",
"publisher_platform",
"redownload",
"region",
"rta_ugc_topic",
"rule_set_id",
"rule_set_name",
"signal_source_bucket",
"skan_campaign_id",
"skan_conversion_id",
"skan_version",
"sot_attribution_model_type",
"sot_attribution_window",
"sot_channel",
"sot_event_type",
"sot_source",
"standard_event_content_type",
"title_asset",
"user_persona_id",
"user_persona_name",
"video_asset",
"user_segment_key"
],
"title": "ValidBreakdowns"
},
"title": "Breakdowns",
"type": "array"
},
"end_date": {
"description": "The date until which you'd like to replicate data for this stream, in the format YYYY-MM-DDT00:00:00Z. All data generated between the start date and this end date will be replicated. Not setting this option will result in always syncing the latest data.",
"examples": [
"2017-01-26T00:00:00Z"
],
"format": "date-time",
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "End Date",
"type": "string"
},
"fields": {
"default": [],
"description": "A list of chosen fields for fields parameter",
"items": {
"description": "An enumeration.",
"enum": [
"account_currency",
"account_id",
"account_name",
"action_values",
"actions",
"ad_click_actions",
"ad_id",
"ad_impression_actions",
"ad_name",
"adset_end",
"adset_id",
"adset_name",
"age_targeting",
"attribution_setting",
"auction_bid",
"auction_competitiveness",
"auction_max_competitor_bid",
"average_purchases_conversion_value",
"buying_type",
"campaign_id",
"campaign_name",
"canvas_avg_view_percent",
"canvas_avg_view_time",
"catalog_segment_actions",
"catalog_segment_value",
"catalog_segment_value_mobile_purchase_roas",
"catalog_segment_value_omni_purchase_roas",
"catalog_segment_value_website_purchase_roas",
"clicks",
"conversion_leads",
"conversion_rate_ranking",
"conversion_values",
"conversions",
"converted_product_app_custom_event_fb_mobile_purchase",
"converted_product_app_custom_event_fb_mobile_purchase_value",
"converted_product_offline_purchase",
"converted_product_offline_purchase_value",
"converted_product_omni_purchase",
"converted_product_omni_purchase_values",
"converted_product_quantity",
"converted_product_value",
"converted_product_website_pixel_purchase",
"converted_product_website_pixel_purchase_value",
"converted_promoted_product_app_custom_event_fb_mobile_purchase",
"converted_promoted_product_app_custom_event_fb_mobile_purchase_value",
"converted_promoted_product_offline_purchase",
"converted_promoted_product_offline_purchase_value",
"converted_promoted_product_omni_purchase",
"converted_promoted_product_omni_purchase_values",
"converted_promoted_product_quantity",
"converted_promoted_product_value",
"converted_promoted_product_website_pixel_purchase",
"converted_promoted_product_website_pixel_purchase_value",
"cost_per_15_sec_video_view",
"cost_per_2_sec_continuous_video_view",
"cost_per_action_type",
"cost_per_ad_click",
"cost_per_conversion",
"cost_per_dda_countby_convs",
"cost_per_estimated_ad_recallers",
"cost_per_inline_link_click",
"cost_per_inline_post_engagement",
"cost_per_objective_result",
"cost_per_one_thousand_ad_impression",
"cost_per_outbound_click",
"cost_per_result",
"cost_per_thruplay",
"cost_per_unique_action_type",
"cost_per_unique_click",
"cost_per_unique_conversion",
"cost_per_unique_inline_link_click",
"cost_per_unique_outbound_click",
"cpc",
"cpm",
"cpp",
"created_time",
"creative_media_type",
"ctr",
"date_start",
"date_stop",
"dda_countby_convs",
"dda_results",
"engagement_rate_ranking",
"estimated_ad_recall_rate",
"estimated_ad_recall_rate_lower_bound",
"estimated_ad_recall_rate_upper_bound",
"estimated_ad_recallers",
"estimated_ad_recallers_lower_bound",
"estimated_ad_recallers_upper_bound",
"frequency",
"full_view_impressions",
"full_view_reach",
"gender_targeting",
"impressions",
"inline_link_click_ctr",
"inline_link_clicks",
"inline_post_engagement",
"instagram_upcoming_event_reminders_set",
"instant_experience_clicks_to_open",
"instant_experience_clicks_to_start",
"instant_experience_outbound_clicks",
"interactive_component_tap",
"labels",
"landing_page_view_actions_per_link_click",
"landing_page_view_per_link_click",
"landing_page_view_per_purchase_rate",
"link_clicks_per_results",
"location",
"marketing_messages_click_rate_benchmark",
"marketing_messages_cost_per_delivered",
"marketing_messages_cost_per_link_btn_click",
"marketing_messages_delivered",
"marketing_messages_delivery_rate",
"marketing_messages_link_btn_click",
"marketing_messages_link_btn_click_rate",
"marketing_messages_media_view_rate",
"marketing_messages_phone_call_btn_click_rate",
"marketing_messages_quick_reply_btn_click",
"marketing_messages_quick_reply_btn_click_rate",
"marketing_messages_read",
"marketing_messages_read_rate",
"marketing_messages_read_rate_benchmark",
"marketing_messages_sent",
"marketing_messages_spend",
"marketing_messages_spend_currency",
"marketing_messages_website_add_to_cart",
"marketing_messages_website_initiate_checkout",
"marketing_messages_website_purchase",
"marketing_messages_website_purchase_values",
"mobile_app_purchase_roas",
"objective",
"objective_result_rate",
"objective_results",
"onsite_conversion_messaging_detected_purchase_deduped",
"optimization_goal",
"outbound_clicks",
"outbound_clicks_ctr",
"place_page_name",
"product_group_retailer_id",
"product_retailer_id",
"product_views",
"purchase_per_landing_page_view",
"purchase_roas",
"purchases_per_link_click",
"qualifying_question_qualify_answer_rate",
"quality_ranking",
"reach",
"result_rate",
"result_values_performance_indicator",
"results",
"shops_assisted_purchases",
"social_spend",
"spend",
"total_card_view",
"total_postbacks",
"total_postbacks_detailed",
"total_postbacks_detailed_v4",
"unique_actions",
"unique_clicks",
"unique_conversions",
"unique_ctr",
"unique_inline_link_click_ctr",
"unique_inline_link_clicks",
"unique_link_clicks_ctr",
"unique_outbound_clicks",
"unique_outbound_clicks_ctr",
"unique_video_continuous_2_sec_watched_actions",
"unique_video_view_15_sec",
"updated_time",
"video_15_sec_watched_actions",
"video_30_sec_watched_actions",
"video_avg_time_watched_actions",
"video_continuous_2_sec_watched_actions",
"video_p100_watched_actions",
"video_p25_watched_actions",
"video_p50_watched_actions",
"video_p75_watched_actions",
"video_p95_watched_actions",
"video_play_actions",
"video_play_curve_actions",
"video_play_retention_0_to_15s_actions",
"video_play_retention_20_to_60s_actions",
"video_play_retention_graph_actions",
"video_thruplay_watched_actions",
"video_time_watched_actions",
"video_view_per_impression",
"website_ctr",
"website_purchase_roas",
"wish_bid"
],
"title": "ValidEnums"
},
"title": "Fields",
"type": "array"
},
"include_incrementality": {
"default": false,
"description": "If enabled, the incrementality attribution window will be included in the action attribution windows for this custom insight. This allows you to retrieve incrementality data for action metrics.",
"title": "Include Incrementality",
"type": "boolean"
},
"insights_job_timeout": {
"default": 60,
"description": "The insights job timeout",
"exclusiveMinimum": 0,
"maximum": 60,
"mininum": 10,
"title": "Custom Insights Job Timeout",
"type": "integer"
},
"insights_lookback_window": {
"default": 28,
"description": "The attribution window",
"exclusiveMinimum": 0,
"maximum": 28,
"mininum": 1,
"title": "Custom Insights Lookback Window",
"type": "integer"
},
"level": {
"default": "ad",
"description": "Chosen level for API",
"enum": [
"ad",
"adset",
"campaign",
"account"
],
"title": "Level",
"type": "string"
},
"name": {
"description": "The name value of insight",
"title": "Name",
"type": "string"
},
"start_date": {
"description": "The date from which you'd like to replicate data for this stream, in the format YYYY-MM-DDT00:00:00Z.",
"examples": [
"2017-01-25T00:00:00Z"
],
"format": "date-time",
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start Date",
"type": "string"
},
"time_increment": {
"default": 1,
"description": "Time window in days by which to aggregate statistics. The sync will be chunked into N day intervals, where N is the number of days you specified. For example, if you set this value to 7, then all statistics will be reported as 7-day aggregates by starting from the start_date. If the start and end dates are October 1st and October 30th, then the connector will output 5 records: 01 - 06, 07 - 13, 14 - 20, 21 - 27, and 28 - 30 (3 days only). The minimum allowed value for this field is 1, and the maximum is 89. Cannot be used together with time_increment_period.",
"exclusiveMinimum": 0,
"maximum": 89,
"minimum": 1,
"title": "Time Increment",
"type": "integer"
},
"time_increment_period": {
"allOf": [
{
"description": "Calendar-aligned time periods for InsightConfig.\n\nThese produce calendar-aligned date buckets rather than N-day rolling windows:\n- daily: equivalent to time_increment=1 (1-day buckets)\n- weekly: Monday-through-Sunday calendar weeks\n- monthly: calendar month boundaries (1st to last day)",
"enum": [
"daily",
"weekly",
"monthly"
],
"title": "TimeIncrementPeriod",
"type": "string"
}
],
"description": "Calendar-aligned aggregation period for statistics. Use this instead of time_increment to produce consistently aligned time buckets regardless of start_date. 'daily' is equivalent to time_increment=1. 'weekly' aligns to Monday-through-Sunday calendar weeks. 'monthly' aligns to calendar month boundaries (1st to last day of each month) and is natively supported by the Facebook API. Cannot be used together with time_increment.",
"title": "Time Increment Period"
}
},
"required": [
"name"
],
"title": "InsightConfig",
"type": "object"
},
"order": 9,
"title": "Custom Insights",
"type": "array"
},
"default_ads_insights_action_breakdowns": {
"default": [
"action_type",
"action_target_id",
"action_destination"
],
"description": "Action breakdowns for the Built-in Ads Insights stream that will be used in the request. You can override default values or remove them to make it empty if needed.",
"items": {
"description": "An enumeration.",
"enum": [
"action_canvas_component_name",
"action_carousel_card_id",
"action_carousel_card_name",
"action_destination",
"action_device",
"action_reaction",
"action_target_id",
"action_type",
"action_video_sound",
"action_video_type",
"conversion_destination",
"matched_persona_id",
"matched_persona_name",
"signal_source_bucket",
"standard_event_content_type"
],
"title": "ValidActionBreakdowns"
},
"order": 8,
"title": "Action breakdowns for the Built-in Ads Insight stream",
"type": "array"
},
"end_date": {
"description": "The date until which you'd like to replicate data for all incremental streams, in the format YYYY-MM-DDT00:00:00Z. All data generated between the start date and this end date will be replicated. Not setting this option will result in always syncing the latest data.",
"examples": [
"2017-01-26T00:00:00Z"
],
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"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "0.10.14",
"dockerRepository": "airbyte/source-gcs",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gcs",
"externalDocumentationUrls": [
{
"title": "Google Cloud Storage documentation",
"type": "api_reference",
"url": "https://cloud.google.com/storage/docs"
},
{
"title": "GCS authentication",
"type": "authentication_guide",
"url": "https://cloud.google.com/storage/docs/authentication"
},
{
"title": "Google Cloud Status",
"type": "status_page",
"url": "https://status.cloud.google.com/"
}
],
"generated": {
"git": {
"commit_author": "devin-ai-integration[bot]",
"commit_author_email": "158243242+devin-ai-integration[bot]@users.noreply.github.com",
"commit_sha": "f18876ff1c02fbbd479d069731cf106ce68b0554",
"commit_timestamp": "2026-04-30T18:19:30+03:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-gcs/0.10.14.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-gcs/latest/metadata.yaml",
"metadata_last_modified": "2026-04-30T15:27:26.309912+00:00",
"registry_entry_generated_at": "2026-04-30T15:27:26.309912+00:00"
}
},
"githubIssueLabel": "source-gcs",
"icon": "gcs.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-gcs/latest/icon.svg",
"language": "python",
"license": "ELv2",
"maxSecondsBetweenMessages": 5400,
"name": "Google Cloud Storage (GCS)",
"packageInfo": {
"cdk_version": "python:7.17.4"
},
"public": true,
"releaseStage": "alpha",
"releases": {
"releaseCandidates": {
"0.9.0-rc.1": {
"ab_internal": {
"isEnterprise": false,
"ql": 200,
"requireVersionIncrementsInPullRequests": true,
"sl": 300
},
"allowedHosts": {
"hosts": [
"storage.googleapis.com",
"accounts.google.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.2@sha256:9fdb1888c4264cf6fee473649ecb593f56f58e5d0096a87ee0b231777e2e3e73"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "integrationTests"
},
{
"suite": "liveTests",
"testConnections": [
{
"id": "15721043-acf6-4ddf-907b-0930e38d4a00",
"name": "gcs_old_config_dev_null"
},
{
"id": "355ebb52-1126-4275-a77e-a09017c9e5c0",
"name": "gcs_config_dev_null"
}
]
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "old_config.json",
"name": "SECRET_SOURCE-GCS_OLD__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config.json",
"name": "SECRET_SOURCE-GCS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config_jsonl.json",
"name": "SECRET_SOURCE-GCS_JSONL__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config_glob.json",
"name": "SECRET_SOURCE-GCS_GLOB__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config_oauth.json",
"name": "SECRET_SOURCE-GCS_OAUTH",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "0.9.0-rc.1",
"dockerRepository": "airbyte/source-gcs",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gcs",
"generated": {
"git": {
"commit_author": "Daryna Ishchenko",
"commit_author_email": "80129833+darynaishchenko@users.noreply.github.com",
"commit_sha": "36a1f95a7f87bfa2b1925810793faf6b87561d15",
"commit_timestamp": "2025-10-06T18:10:20+03:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-gcs/0.9.0-rc.1.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-gcs/0.9.0-rc.1/metadata.yaml",
"metadata_last_modified": "2025-10-06T15:18:41.272000+00:00",
"registry_entry_generated_at": "2025-10-06T15:19:52.694611"
}
},
"githubIssueLabel": "source-gcs",
"icon": "gcs.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-gcs/latest/icon.svg",
"language": "python",
"license": "ELv2",
"maxSecondsBetweenMessages": 5400,
"name": "Google Cloud Storage (GCS)",
"packageInfo": {
"cdk_version": "python:7.3.1"
},
"public": true,
"releaseStage": "alpha",
"releases": {
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-gcs"
}
},
"sourceDefinitionId": "2a8c41ae-8c23-4be0-a73f-2ab10ca1a820",
"sourceType": "file",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"properties": {
"access_token": {
"path_in_connector_config": [
"credentials",
"access_token"
],
"type": "string"
},
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"description": "NOTE: When this Spec is changed, legacy_config_transformer.py must also be\nmodified to uptake the changes because it is responsible for converting\nlegacy GCS configs into file based configs using the File-Based CDK.",
"properties": {
"bucket": {
"description": "Name of the GCS bucket where the file(s) exist.",
"order": 2,
"title": "Bucket",
"type": "string"
},
"credentials": {
"description": "Credentials for connecting to the Google Cloud Storage API",
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Access Token",
"title": "Access Token",
"type": "string"
},
"auth_type": {
"const": "Client",
"default": "Client",
"enum": [
"Client"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Access Token",
"title": "Access Token",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"access_token",
"refresh_token"
],
"title": "Authenticate via Google (OAuth)",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "Service",
"default": "Service",
"enum": [
"Service"
],
"title": "Auth Type",
"type": "string"
},
"service_account": {
"airbyte_secret": true,
"description": "Enter your Google Cloud service account key in JSON format",
"title": "Service Account Information.",
"type": "string"
}
},
"required": [
"service_account"
],
"title": "Service Account Authentication.",
"type": "object"
}
],
"order": 0,
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"airbyte_hidden": true,
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 3,
"title": "Delivery Method",
"type": "object"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"inference_type": {
"airbyte_hidden": true,
"default": "None",
"description": "How to infer the types of the columns. If none, inference default to strings.",
"enum": [
"None",
"Primitive Types Only"
],
"title": "Inference Type"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
},
{
"description": "Process files via an API, using the `hi_res` mode. This option is useful for increased performance and accuracy, but requires an API key and a hosted instance of unstructured.",
"properties": {
"api_key": {
"airbyte_secret": true,
"always_show": true,
"default": "",
"description": "The API key to use matching the environment",
"title": "API Key",
"type": "string"
},
"api_url": {
"always_show": true,
"default": "https://api.unstructured.io",
"description": "The URL of the unstructured API to use",
"examples": [
"https://api.unstructured.com"
],
"title": "API URL",
"type": "string"
},
"mode": {
"const": "api",
"default": "api",
"enum": [
"api"
],
"title": "Mode",
"type": "string"
},
"parameters": {
"always_show": true,
"default": [],
"description": "List of parameters send to the API",
"items": {
"properties": {
"name": {
"description": "The name of the unstructured API parameter to use",
"examples": [
"combine_under_n_chars",
"languages"
],
"title": "Parameter name",
"type": "string"
},
"value": {
"description": "The value of the parameter",
"examples": [
"true",
"hi_res"
],
"title": "Value",
"type": "string"
}
},
"required": [
"name",
"value"
],
"title": "APIParameterConfigModel",
"type": "object"
},
"title": "Additional URL Parameters",
"type": "array"
}
},
"required": [
"mode"
],
"title": "via API",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"legacy_prefix": {
"airbyte_hidden": true,
"description": "The path prefix configured in v3 versions of the S3 connector. This option is deprecated in favor of a single glob.",
"title": "Legacy Prefix",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
}
},
"required": [
"streams",
"credentials",
"bucket"
],
"title": "Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gcs",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-gcs"
}
},
"sourceDefinitionId": "2a8c41ae-8c23-4be0-a73f-2ab10ca1a820",
"sourceType": "file",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"properties": {
"access_token": {
"path_in_connector_config": [
"credentials",
"access_token"
],
"type": "string"
},
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"description": "NOTE: When this Spec is changed, legacy_config_transformer.py must also be\nmodified to uptake the changes because it is responsible for converting\nlegacy GCS configs into file based configs using the File-Based CDK.",
"properties": {
"bucket": {
"description": "Name of the GCS bucket where the file(s) exist.",
"order": 2,
"title": "Bucket",
"type": "string"
},
"credentials": {
"description": "Credentials for connecting to the Google Cloud Storage API",
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Access Token",
"title": "Access Token",
"type": "string"
},
"auth_type": {
"const": "Client",
"default": "Client",
"enum": [
"Client"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Access Token",
"title": "Access Token",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"access_token",
"refresh_token"
],
"title": "Authenticate via Google (OAuth)",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "Service",
"default": "Service",
"enum": [
"Service"
],
"title": "Auth Type",
"type": "string"
},
"service_account": {
"airbyte_secret": true,
"description": "Enter your Google Cloud service account key in JSON format",
"title": "Service Account Information.",
"type": "string"
}
},
"required": [
"service_account"
],
"title": "Service Account Authentication.",
"type": "object"
}
],
"order": 0,
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"airbyte_hidden": true,
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 3,
"title": "Delivery Method",
"type": "object"
},
"sanitize_signed_urls": {
"default": false,
"description": "When enabled, removes credential-bearing query parameters from signed URLs in the _ab_source_file_url record field. Only relevant for Service Account authentication.",
"group": "advanced",
"order": 4,
"title": "Sanitize File URLs",
"type": "boolean"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01",
"2021-01-01T00:00:00Z",
"2021-01-01T00:00:00.000Z",
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}(T[0-9]{2}:[0-9]{2}:[0-9]{2}(\\.[0-9]+)?(Z|[+-][0-9]{2}:[0-9]{2})?)?$",
"pattern_descriptor": "YYYY-MM-DD, YYYY-MM-DDTHH:mm:ssZ, or YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"inference_type": {
"airbyte_hidden": true,
"default": "None",
"description": "How to infer the types of the columns. If none, inference default to strings.",
"enum": [
"None",
"Primitive Types Only"
],
"title": "Inference Type"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
},
{
"description": "Process files via an API, using the `hi_res` mode. This option is useful for increased performance and accuracy, but requires an API key and a hosted instance of unstructured.",
"properties": {
"api_key": {
"airbyte_secret": true,
"always_show": true,
"default": "",
"description": "The API key to use matching the environment",
"title": "API Key",
"type": "string"
},
"api_url": {
"always_show": true,
"default": "https://api.unstructured.io",
"description": "The URL of the unstructured API to use",
"examples": [
"https://api.unstructured.com"
],
"title": "API URL",
"type": "string"
},
"mode": {
"const": "api",
"default": "api",
"enum": [
"api"
],
"title": "Mode",
"type": "string"
},
"parameters": {
"always_show": true,
"default": [],
"description": "List of parameters send to the API",
"items": {
"properties": {
"name": {
"description": "The name of the unstructured API parameter to use",
"examples": [
"combine_under_n_chars",
"languages"
],
"title": "Parameter name",
"type": "string"
},
"value": {
"description": "The value of the parameter",
"examples": [
"true",
"hi_res"
],
"title": "Value",
"type": "string"
}
},
"required": [
"name",
"value"
],
"title": "APIParameterConfigModel",
"type": "object"
},
"title": "Additional URL Parameters",
"type": "array"
}
},
"required": [
"mode"
],
"title": "via API",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"legacy_prefix": {
"airbyte_hidden": true,
"description": "The path prefix configured in v3 versions of the S3 connector. This option is deprecated in favor of a single glob.",
"title": "Legacy Prefix",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"use_first_found_file_for_schema_discovery": {
"default": false,
"description": "When enabled, the source will use the first found file for schema discovery. Helps to avoid long discovery step.",
"title": "Use First Found File For Schema Discover",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
}
},
"required": [
"streams",
"credentials",
"bucket"
],
"title": "Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gcs",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"allowedHosts": {
"hosts": [
"api.getgist.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/source-declarative-manifest:7.17.4@sha256:f85ae668c118cc9a42dae007325b916d63c2df72d6809677582b4fa8a1c65bbb"
},
"custom": false,
"dockerImageTag": "0.0.50",
"dockerRepository": "airbyte/source-getgist",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/getgist",
"externalDocumentationUrls": [
{
"title": "Gist API documentation",
"type": "api_reference",
"url": "https://developers.getgist.com/"
}
],
"generated": {
"git": {
"commit_author": "octavia-bot-hoard[bot]",
"commit_author_email": "230633153+octavia-bot-hoard[bot]@users.noreply.github.com",
"commit_sha": "e96d5cd4a2fd8bfdc3a72495d19e3eec84833a35",
"commit_timestamp": "2026-04-28T06:05:13+00:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-getgist/0.0.50.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-getgist/latest/metadata.yaml",
"metadata_last_modified": "2026-04-28T06:09:11.943249+00:00",
"registry_entry_generated_at": "2026-04-28T06:09:11.943249+00:00"
}
},
"githubIssueLabel": "source-getgist",
"icon": "icon.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-getgist/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"name": "GetGist",
"packageInfo": {},
"public": true,
"releaseDate": "2024-10-31",
"releaseStage": "alpha",
"releases": {},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-getgist"
}
},
"sourceDefinitionId": "bc670226-bee1-470c-a013-df05e5ac8f1a",
"sourceType": "api",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"api_key": {
"airbyte_secret": true,
"description": "API key to use. Find it in the Integration Settings on your Gist dashboard at https://app.getgist.com/projects/_/settings/api-key.",
"name": "api_key",
"order": 0,
"title": "API Key",
"type": "string"
}
},
"required": [
"api_key"
],
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/source-declarative-manifest:7.17.4@sha256:f85ae668c118cc9a42dae007325b916d63c2df72d6809677582b4fa8a1c65bbb"
},
"connectorTestSuitesOptions": [
{
"suite": "liveTests",
"testConnections": [
{
"id": "65a3d708-199d-4f8c-adb1-8e6fee5134a4",
"name": "getlago_config_dev_null"
}
]
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_SOURCE-GETLAGO__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "0.7.51",
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{
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],
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{
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},
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"url": "https://developers.giphy.com/docs/api/"
},
{
"title": "GIPHY rate limits",
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"url": "https://developers.giphy.com/docs/api/#rate-limiting"
}
],
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},
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"language": "manifest-only",
"license": "ELv2",
"name": "Giphy",
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"releaseDate": "2025-04-07",
"releaseStage": "alpha",
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"packageName": "airbyte-source-giphy"
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},
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"additionalProperties": true,
"properties": {
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"description": "Your GIPHY API Key. You can create and find your API key in the GIPHY Developer Dashboard at https://developers.giphy.com/dashboard/.",
"name": "api_key",
"order": 0,
"title": "API Key",
"type": "string"
},
"query": {
"default": "foo",
"description": "A query for search endpoint",
"order": 2,
"title": "Query for search endpoints",
"type": "string"
},
"query_for_clips": {
"default": "foo",
"description": "Query for clips search endpoint",
"order": 5,
"title": "Query for clips search endpoint",
"type": "string"
},
"query_for_gif": {
"default": "foo",
"description": "Query for gif search endpoint",
"order": 3,
"title": "Query for gif search endpoint",
"type": "string"
},
"query_for_stickers": {
"default": "foo",
"description": "Query for stickers search endpoint",
"order": 4,
"title": "Query for stickers search endpoint",
"type": "string"
},
"start_date": {
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start date",
"type": "string"
}
},
"required": [
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"start_date",
"query",
"query_for_gif",
"query_for_stickers",
"query_for_clips"
],
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
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"tombstone": false
},
{
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"ql": 100,
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"sl": 100
},
"allowedHosts": {
"hosts": [
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]
},
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"externalDocumentationUrls": [
{
"title": "GitBook API documentation",
"type": "api_reference",
"url": "https://developer.gitbook.com/"
},
{
"title": "GitBook authentication",
"type": "authentication_guide",
"url": "https://developer.gitbook.com/gitbook-api/authentication"
}
],
"generated": {
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"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-gitbook/0.0.48.spdx.json",
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},
"githubIssueLabel": "source-gitbook",
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"license": "ELv2",
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},
"sourceDefinitionId": "d1fcdf3a-dcfd-4b2e-a32c-d8a7a2e9790c",
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"spec": {
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"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Personal access token for authenticating with the GitBook API. You can view and manage your access tokens in the Developer settings of your GitBook user account.",
"name": "access_token",
"order": 0,
"title": "Access Token",
"type": "string"
},
"space_id": {
"order": 1,
"title": "Space Id",
"type": "string"
}
},
"required": [
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"space_id"
],
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 400,
"requireVersionIncrementsInPullRequests": true,
"sl": 300
},
"allowedHosts": {
"hosts": [
"${api_url}"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.1.0@sha256:1d1aa21d34e851df4e8a87b391c27724c06e2597608e7161f4d167be853bd7b6"
},
"connectorTestSuitesOptions": [
{
"suite": "liveTests",
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{
"id": "00d7a7eb-9922-4463-9d9d-fac37438bc12",
"name": "github_config_dev_null"
},
{
"id": "65c98c6e-c8e5-4ff4-a822-32b79d10468b",
"name": "github_config_oauth_dev_null"
}
]
},
{
"suite": "unitTests"
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_SOURCE-GITHUB_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config_oauth.json",
"name": "SECRET_SOURCE-GITHUB_OAUTH_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "2.1.27",
"dockerRepository": "airbyte/source-github",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/github",
"erdUrl": "https://dbdocs.io/airbyteio/source-github?view=relationships",
"externalDocumentationUrls": [
{
"title": "Breaking changes",
"type": "api_deprecations",
"url": "https://docs.github.com/en/rest/about-the-rest-api/breaking-changes"
},
{
"title": "GitHub REST API reference",
"type": "api_reference",
"url": "https://docs.github.com/en/rest"
},
{
"title": "API Versions",
"type": "api_release_history",
"url": "https://docs.github.com/en/rest/about-the-rest-api/api-versions"
},
{
"title": "GitHub API changelog",
"type": "api_release_history",
"url": "https://github.blog/changelog/label/api/"
},
{
"title": "GitHub authentication",
"type": "authentication_guide",
"url": "https://docs.github.com/en/rest/overview/authenticating-to-the-rest-api"
},
{
"title": "GitHub REST API OpenAPI specification",
"type": "openapi_spec",
"url": "https://github.com/github/rest-api-description"
},
{
"title": "GitHub rate limits",
"type": "rate_limits",
"url": "https://docs.github.com/en/rest/overview/rate-limits-for-the-rest-api"
},
{
"title": "GitHub Status",
"type": "status_page",
"url": "https://www.githubstatus.com/"
}
],
"generated": {
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"commit_timestamp": "2026-05-03T22:02:32+00:00"
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"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-github/2.1.27.spdx.json",
"source_file_info": {
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"metadata_file_path": "metadata/airbyte/source-github/latest/metadata.yaml",
"metadata_last_modified": "2026-05-03T22:08:53.712549+00:00",
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},
"githubIssueLabel": "source-github",
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"maxSecondsBetweenMessages": 3600,
"name": "GitHub",
"packageInfo": {
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},
"public": true,
"releaseStage": "generally_available",
"releases": {
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"2.0.0": {
"message": "This release renames reaction fields for compatibility across all destinations. The +1 and -1 fields have been renamed to plus_one and minus_one in streams containing reactions (comments, commit_comments, issue_events, issues, releases, review_comments). Users should refresh their source schema and reset affected streams after upgrading.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/github-migrations#2.0.0",
"scopedImpact": [
{
"impactedScopes": [
"comments",
"commit_comments",
"issue_events",
"issues",
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"review_comments"
],
"scopeType": "stream"
}
],
"upgradeDeadline": "2025-11-21"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/github-migrations",
"releaseCandidates": {
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"ql": 400,
"requireVersionIncrementsInPullRequests": true,
"sl": 300
},
"allowedHosts": {
"hosts": [
"${api_url}"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.2@sha256:9fdb1888c4264cf6fee473649ecb593f56f58e5d0096a87ee0b231777e2e3e73"
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{
"id": "65c98c6e-c8e5-4ff4-a822-32b79d10468b",
"name": "github_config_oauth_dev_null"
}
]
},
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},
{
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{
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"name": "SECRET_SOURCE-GITHUB_CREDS",
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"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config_oauth.json",
"name": "SECRET_SOURCE-GITHUB_OAUTH_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "1.9.1-rc.1",
"dockerRepository": "airbyte/source-github",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/github",
"erdUrl": "https://dbdocs.io/airbyteio/source-github?view=relationships",
"generated": {
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"commit_author": "Brian Lai",
"commit_author_email": "51336873+brianjlai@users.noreply.github.com",
"commit_sha": "262018744a44dc39b2a7db6ab3b581ca01b2b388",
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"metadata_last_modified": "2025-10-13T23:20:34.047000+00:00",
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},
"githubIssueLabel": "source-github",
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"language": "python",
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"maxSecondsBetweenMessages": 3600,
"name": "GitHub",
"packageInfo": {
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},
"public": true,
"releaseStage": "generally_available",
"releases": {
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-github"
}
},
"sourceDefinitionId": "ef69ef6e-aa7f-4af1-a01d-ef775033524e",
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"access_token": {
"path_in_connector_config": [
"credentials",
"access_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"option_title"
],
"predicate_value": "OAuth Credentials"
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"api_url": {
"default": "https://api.github.com/",
"description": "Please enter your basic URL from self-hosted GitHub instance or leave it empty to use GitHub.",
"examples": [
"https://github.com",
"https://github.company.org"
],
"order": 3,
"title": "API URL",
"type": "string"
},
"branch": {
"airbyte_hidden": true,
"description": "(DEPRCATED) Space-delimited list of GitHub repository branches to pull commits for, e.g. `airbytehq/airbyte/master`. If no branches are specified for a repository, the default branch will be pulled.",
"examples": [
"airbytehq/airbyte/master airbytehq/airbyte/my-branch"
],
"pattern_descriptor": "org/repo/branch1 org/repo/branch2",
"title": "Branch",
"type": "string"
},
"branches": {
"description": "List of GitHub repository branches to pull commits for, e.g. `airbytehq/airbyte/master`. If no branches are specified for a repository, the default branch will be pulled.",
"examples": [
"airbytehq/airbyte/master",
"airbytehq/airbyte/my-branch"
],
"items": {
"type": "string"
},
"order": 4,
"pattern_descriptor": "org/repo/branch1 org/repo/branch2",
"title": "Branches",
"type": "array"
},
"credentials": {
"description": "Choose how to authenticate to GitHub",
"group": "auth",
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "OAuth access token",
"title": "Access Token",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "OAuth Client Id",
"title": "Client Id",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "OAuth Client secret",
"title": "Client secret",
"type": "string"
},
"option_title": {
"const": "OAuth Credentials",
"order": 0,
"type": "string"
}
},
"required": [
"access_token"
],
"title": "OAuth",
"type": "object"
},
{
"properties": {
"option_title": {
"const": "PAT Credentials",
"order": 0,
"type": "string"
},
"personal_access_token": {
"airbyte_secret": true,
"description": "Log into GitHub and then generate a personal access token. To load balance your API quota consumption across multiple API tokens, input multiple tokens separated with \",\"",
"title": "Personal Access Tokens",
"type": "string"
}
},
"required": [
"personal_access_token"
],
"title": "Personal Access Token",
"type": "object"
}
],
"order": 0,
"title": "Authentication",
"type": "object"
},
"max_waiting_time": {
"default": 10,
"description": "Max Waiting Time for rate limit. Set higher value to wait till rate limits will be resetted to continue sync",
"examples": [
10,
30,
60
],
"maximum": 60,
"minimum": 1,
"order": 5,
"title": "Max Waiting Time (in minutes)",
"type": "integer"
},
"repositories": {
"description": "List of GitHub organizations/repositories, e.g. `airbytehq/airbyte` for single repository, `airbytehq/*` for get all repositories from organization and `airbytehq/a* for matching multiple repositories by pattern.",
"examples": [
"airbytehq/airbyte",
"airbytehq/another-repo",
"airbytehq/*",
"airbytehq/a*"
],
"items": {
"pattern": "^[\\w.-]+/(([\\w.-]*\\*)|[\\w.-]+(?docs for more info",
"examples": [
"2021-03-01T00:00:00Z"
],
"format": "date-time",
"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ssZ",
"title": "Start date",
"type": "string"
}
},
"required": [
"credentials",
"repositories"
],
"title": "GitHub Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/github",
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"branches",
"comments",
"issues",
"organizations",
"pull_requests",
"repositories",
"stargazers",
"tags",
"teams",
"users"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-github"
}
},
"sourceDefinitionId": "ef69ef6e-aa7f-4af1-a01d-ef775033524e",
"sourceType": "api",
"spec": {
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"auth_flow_type": "oauth2.0",
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"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"access_token": {
"path_in_connector_config": [
"credentials",
"access_token"
],
"type": "string"
}
},
"type": "object"
},
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"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
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},
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"properties": {
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],
"type": "string"
},
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"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
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"access_token_url": "https://github.com/login/oauth/access_token?{{client_id_param}}&{{client_secret_param}}&{{auth_code_param}}&{{redirect_uri_param}}",
"consent_url": "https://github.com/login/oauth/authorize?{{client_id_param}}&{{redirect_uri_param}}&{{scopes_param}}&{{state_param}}",
"extract_output": [
"access_token"
],
"scopes": [
{
"scope": "repo"
},
{
"scope": "read:org"
},
{
"scope": "read:repo_hook"
},
{
"scope": "read:user"
},
{
"scope": "read:project"
},
{
"scope": "read:discussion"
},
{
"scope": "workflow"
}
]
}
},
"predicate_key": [
"credentials",
"option_title"
],
"predicate_value": "OAuth Credentials"
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"api_url": {
"default": "https://api.github.com/",
"description": "Please enter your basic URL from self-hosted GitHub instance or leave it empty to use GitHub.",
"examples": [
"https://github.com",
"https://github.company.org"
],
"order": 3,
"title": "API URL",
"type": "string"
},
"branch": {
"airbyte_hidden": true,
"description": "(DEPRCATED) Space-delimited list of GitHub repository branches to pull commits for, e.g. `airbytehq/airbyte/master`. If no branches are specified for a repository, the default branch will be pulled.",
"examples": [
"airbytehq/airbyte/master airbytehq/airbyte/my-branch"
],
"pattern_descriptor": "org/repo/branch1 org/repo/branch2",
"title": "Branch",
"type": "string"
},
"branches": {
"description": "List of GitHub repository branches to pull commits for, e.g. `airbytehq/airbyte/master`. If no branches are specified for a repository, the default branch will be pulled.",
"examples": [
"airbytehq/airbyte/master",
"airbytehq/airbyte/my-branch"
],
"items": {
"type": "string"
},
"order": 4,
"pattern_descriptor": "org/repo/branch1 org/repo/branch2",
"title": "Branches",
"type": "array"
},
"credentials": {
"description": "Choose how to authenticate to GitHub",
"group": "auth",
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "OAuth access token",
"title": "Access Token",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "OAuth Client Id",
"title": "Client Id",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "OAuth Client secret",
"title": "Client secret",
"type": "string"
},
"option_title": {
"const": "OAuth Credentials",
"order": 0,
"type": "string"
}
},
"required": [
"access_token"
],
"title": "OAuth",
"type": "object"
},
{
"properties": {
"option_title": {
"const": "PAT Credentials",
"order": 0,
"type": "string"
},
"personal_access_token": {
"airbyte_secret": true,
"description": "Log into GitHub and then generate a personal access token. To load balance your API quota consumption across multiple API tokens, input multiple tokens separated with \",\"",
"title": "Personal Access Tokens",
"type": "string"
}
},
"required": [
"personal_access_token"
],
"title": "Personal Access Token",
"type": "object"
}
],
"order": 0,
"title": "Authentication",
"type": "object"
},
"max_waiting_time": {
"default": 120,
"description": "Max time (in minutes) the connector will wait when all API tokens are rate-limited before failing. GitHub rate limits reset every 60 minutes, so values above 60 allow the connector to wait for a full reset cycle.",
"examples": [
10,
60,
120
],
"maximum": 240,
"minimum": 1,
"order": 5,
"title": "Max Waiting Time (in minutes)",
"type": "integer"
},
"repositories": {
"description": "List of GitHub organizations/repositories, e.g. `airbytehq/airbyte` for single repository, `airbytehq/*` for get all repositories from organization and `airbytehq/a* for matching multiple repositories by pattern.",
"examples": [
"airbytehq/airbyte",
"airbytehq/another-repo",
"airbytehq/*",
"airbytehq/a*"
],
"items": {
"pattern": "^[\\w.-]+/(([\\w.-]*\\*)|[\\w.-]+(?docs for more info",
"examples": [
"2021-03-01T00:00:00Z"
],
"format": "date-time",
"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ssZ",
"title": "Start date",
"type": "string"
}
},
"required": [
"credentials",
"repositories"
],
"title": "GitHub Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/github",
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
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"comments",
"issues",
"organizations",
"pull_requests",
"repositories",
"stargazers",
"tags",
"teams",
"users"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
},
{
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"ql": 400,
"requireVersionIncrementsInPullRequests": true,
"sl": 200
},
"allowedHosts": {
"hosts": [
"${api_url}"
]
},
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},
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"suite": "acceptanceTests",
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},
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"access_token"
],
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},
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},
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},
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},
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],
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},
"client_secret": {
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"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_user_input_from_connector_config_specification": {
"properties": {
"domain": {
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"api_url"
],
"type": "string"
}
},
"type": "object"
}
},
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"auth_type"
],
"predicate_value": "oauth2.0"
},
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"additionalProperties": true,
"properties": {
"api_url": {
"default": "gitlab.com",
"description": "Please enter your basic URL from GitLab instance.",
"examples": [
"gitlab.com",
"https://gitlab.com",
"https://gitlab.company.org"
],
"order": 2,
"title": "API URL",
"type": "string"
},
"credentials": {
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Access Token for making authenticated requests.",
"type": "string"
},
"auth_type": {
"const": "oauth2.0",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The API ID of the Gitlab developer application.",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The API Secret the Gitlab developer application.",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The key to refresh the expired access_token.",
"type": "string"
},
"token_expiry_date": {
"description": "The date-time when the access token should be refreshed.",
"format": "date-time",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"refresh_token",
"access_token",
"token_expiry_date"
],
"title": "OAuth2.0",
"type": "object"
},
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Log into your Gitlab account and then generate a personal Access Token.",
"title": "Private Token",
"type": "string"
},
"auth_type": {
"const": "access_token",
"type": "string"
}
},
"required": [
"access_token"
],
"title": "Private Token",
"type": "object"
}
],
"order": 0,
"title": "Authorization Method",
"type": "object"
},
"groups": {
"airbyte_hidden": true,
"description": "[DEPRECATED] Space-delimited list of groups. e.g. airbyte.io.",
"examples": [
"airbyte.io"
],
"title": "Groups",
"type": "string"
},
"groups_list": {
"description": "List of groups. e.g. airbyte.io.",
"examples": [
"airbyte.io"
],
"items": {
"type": "string"
},
"order": 3,
"title": "Groups",
"type": "array"
},
"num_workers": {
"default": 8,
"description": "Number of concurrent threads for syncing. Higher values can speed up syncs but may hit rate limits. Adjust based on your GitLab instance rate limits.",
"maximum": 25,
"minimum": 2,
"order": 5,
"title": "Number of Concurrent Workers",
"type": "integer"
},
"projects": {
"airbyte_hidden": true,
"description": "[DEPRECATED] Space-delimited list of projects. e.g. airbyte.io/documentation meltano/tap-gitlab.",
"examples": [
"airbyte.io/documentation"
],
"title": "Projects",
"type": "string"
},
"projects_list": {
"description": "Space-delimited list of projects. e.g. airbyte.io/documentation meltano/tap-gitlab.",
"examples": [
"airbyte.io/documentation"
],
"items": {
"type": "string"
},
"order": 4,
"title": "Projects",
"type": "array"
},
"start_date": {
"description": "The date from which you'd like to replicate data for GitLab API, in the format YYYY-MM-DDT00:00:00Z. Optional. If not set, all data will be replicated. All data generated after this date will be replicated.",
"examples": [
"2021-03-01T00:00:00Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start Date",
"type": "string"
}
},
"required": [
"credentials"
],
"title": "Source Gitlab Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gitlab",
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"merge_requests",
"users",
"issues",
"projects",
"commits"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
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"enabled": false,
"packageName": "airbyte-source-gitlab"
}
},
"sourceDefinitionId": "5e6175e5-68e1-4c17-bff9-56103bbb0d80",
"sourceType": "api",
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"properties": {
"access_token": {
"path_in_connector_config": [
"credentials",
"access_token"
],
"type": "string"
},
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"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
},
"token_expiry_date": {
"format": "date-time",
"path_in_connector_config": [
"credentials",
"token_expiry_date"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_user_input_from_connector_config_specification": {
"properties": {
"domain": {
"path_in_connector_config": [
"api_url"
],
"type": "string"
}
},
"type": "object"
}
},
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"credentials",
"auth_type"
],
"predicate_value": "oauth2.0"
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"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"api_url": {
"default": "gitlab.com",
"description": "Please enter your basic URL from GitLab instance.",
"examples": [
"gitlab.com",
"https://gitlab.com",
"https://gitlab.company.org"
],
"order": 2,
"title": "API URL",
"type": "string"
},
"credentials": {
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Access Token for making authenticated requests.",
"type": "string"
},
"auth_type": {
"const": "oauth2.0",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The API ID of the Gitlab developer application.",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The API Secret the Gitlab developer application.",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The key to refresh the expired access_token.",
"type": "string"
},
"token_expiry_date": {
"description": "The date-time when the access token should be refreshed.",
"format": "date-time",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"refresh_token",
"access_token",
"token_expiry_date"
],
"title": "OAuth2.0",
"type": "object"
},
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Log into your Gitlab account and then generate a personal Access Token.",
"title": "Private Token",
"type": "string"
},
"auth_type": {
"const": "access_token",
"type": "string"
}
},
"required": [
"access_token"
],
"title": "Private Token",
"type": "object"
}
],
"order": 0,
"title": "Authorization Method",
"type": "object"
},
"groups": {
"airbyte_hidden": true,
"description": "[DEPRECATED] Space-delimited list of groups. e.g. airbyte.io.",
"examples": [
"airbyte.io"
],
"title": "Groups",
"type": "string"
},
"groups_list": {
"description": "List of groups. e.g. airbyte.io.",
"examples": [
"airbyte.io"
],
"items": {
"type": "string"
},
"order": 3,
"title": "Groups",
"type": "array"
},
"num_workers": {
"default": 8,
"description": "Number of concurrent threads for syncing. Higher values can speed up syncs but may hit rate limits. Adjust based on your GitLab instance rate limits.",
"maximum": 25,
"minimum": 2,
"order": 5,
"title": "Number of Concurrent Threads",
"type": "integer"
},
"projects": {
"airbyte_hidden": true,
"description": "[DEPRECATED] Space-delimited list of projects. e.g. airbyte.io/documentation meltano/tap-gitlab.",
"examples": [
"airbyte.io/documentation"
],
"title": "Projects",
"type": "string"
},
"projects_list": {
"description": "Space-delimited list of projects. e.g. airbyte.io/documentation meltano/tap-gitlab.",
"examples": [
"airbyte.io/documentation"
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"items": {
"type": "string"
},
"order": 4,
"title": "Projects",
"type": "array"
},
"start_date": {
"description": "The date from which you'd like to replicate data for GitLab API, in the format YYYY-MM-DDT00:00:00Z. Optional. If not set, all data will be replicated. All data generated after this date will be replicated.",
"examples": [
"2021-03-01T00:00:00Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start Date",
"type": "string"
}
},
"required": [
"credentials"
],
"title": "Source Gitlab Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gitlab",
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"merge_requests",
"users",
"issues",
"projects",
"commits"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
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"cdk:low-code"
],
"tombstone": false
},
{
"ab_internal": {
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"ql": 100,
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"allowedHosts": {
"hosts": [
"api.glassfrog.com"
]
},
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"dockerImageTag": "0.3.49",
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{
"title": "GlassFrog API documentation",
"type": "api_reference",
"url": "https://documenter.getpostman.com/view/1014385/glassfrog-api-v3/2SJViY"
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],
"generated": {
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"commit_author_email": "230633153+octavia-bot-hoard[bot]@users.noreply.github.com",
"commit_sha": "999afc9ccbbb408869f6fe7c4a430309a9086669",
"commit_timestamp": "2026-04-28T05:49:17+00:00"
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"metadata_last_modified": "2026-04-28T05:53:07.382538+00:00",
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},
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"additionalProperties": true,
"properties": {
"api_key": {
"airbyte_secret": true,
"description": "API key provided by Glassfrog",
"order": 0,
"title": "API Key",
"type": "string"
}
},
"required": [
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],
"type": "object"
},
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"supportsNormalization": false
},
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"tags": [
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],
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},
{
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"ql": 100,
"requireVersionIncrementsInPullRequests": true,
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},
"allowedHosts": {
"hosts": [
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]
},
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},
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"dockerImageTag": "0.1.1",
"dockerRepository": "airbyte/source-gmail",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gmail",
"externalDocumentationUrls": [
{
"title": "Gmail API reference",
"type": "api_reference",
"url": "https://developers.google.com/gmail/api/reference/rest"
},
{
"title": "Gmail authentication",
"type": "authentication_guide",
"url": "https://developers.google.com/gmail/api/auth/about-auth"
},
{
"title": "Gmail API quotas",
"type": "rate_limits",
"url": "https://developers.google.com/gmail/api/reference/quota"
},
{
"title": "Google Workspace Status",
"type": "status_page",
"url": "https://www.google.com/appsstatus/"
}
],
"generated": {
"git": {
"commit_author": "Serhii Lazebnyi",
"commit_author_email": "GL_serhii.lazebnyi@airbyte.io",
"commit_sha": "443655194d32342a5878e8c4b3f68ca644d428c1",
"commit_timestamp": "2026-05-04T20:36:11+01:00"
},
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}
},
"githubIssueLabel": "source-gmail",
"icon": "icon.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-gmail/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"name": "Gmail",
"packageInfo": {},
"public": true,
"releaseDate": "2024-10-09",
"releaseStage": "alpha",
"releases": {},
"remoteRegistries": {
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"packageName": "airbyte-source-gmail"
}
},
"sourceDefinitionId": "f7833dac-fc18-4feb-a2a9-94b22001edc6",
"sourceType": "api",
"spec": {
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"oauth_config_specification": {
"complete_oauth_output_specification": {
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"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"client_refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_connector_input_specification": {
"access_token_url": "https://oauth2.googleapis.com/token?{{client_id_param}}&{{client_secret_param}}&{{auth_code_param}}&{{redirect_uri_param}}&grant_type=authorization_code",
"consent_url": "https://accounts.google.com/o/oauth2/v2/auth?{{client_id_param}}&{{redirect_uri_param}}&response_type=code&{{scopes_param}}&access_type=offline&{{state_param}}&include_granted_scopes=true&prompt=consent",
"extract_output": [
"refresh_token"
],
"scopes": [
{
"scope": "https://www.googleapis.com/auth/gmail.readonly"
}
],
"scopes_join_strategy": "space"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"credentials": {
"description": "Credentials for connecting to the Gmail API",
"oneOf": [
{
"properties": {
"auth_type": {
"const": "Client",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Enter your Google application's Client ID. See Google's documentation for more information.",
"title": "Client ID",
"type": "string"
},
"client_refresh_token": {
"airbyte_secret": true,
"description": "Enter your Google application's refresh token. See Google's documentation for more information.",
"title": "Refresh Token",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Enter your Google application's Client Secret. See Google's documentation for more information.",
"title": "Client Secret",
"type": "string"
}
},
"required": [
"auth_type",
"client_id",
"client_secret",
"client_refresh_token"
],
"title": "Authenticate via Google (OAuth)",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "Service",
"type": "string"
},
"service_account_info": {
"airbyte_secret": true,
"description": "The JSON key of the service account to use for authorization. Read more here.",
"examples": [
"{ \"type\": \"service_account\", \"project_id\": YOUR_PROJECT_ID, \"private_key_id\": YOUR_PRIVATE_KEY, ... }"
],
"title": "Service Account Information.",
"type": "string"
}
},
"required": [
"auth_type",
"service_account_info"
],
"title": "Service Account Key Authentication",
"type": "object"
}
],
"order": 0,
"title": "Authentication",
"type": "object"
},
"include_spam_and_trash": {
"default": false,
"description": "Include drafts/messages from SPAM and TRASH in the results. Defaults to false.",
"order": 1,
"title": "Include Spam & Trash",
"type": "boolean"
},
"num_workers": {
"default": 5,
"description": "Number of concurrent workers used when syncing. Higher values result in faster syncs but may trigger rate limiting on lower-tier Gmail API quotas. The default works well for most accounts; if you see frequent rate-limit errors in sync logs, reduce this value.",
"maximum": 10,
"minimum": 2,
"order": 2,
"title": "Number of concurrent workers",
"type": "integer"
},
"start_date": {
"description": "UTC date and time in the format YYYY-MM-DDTHH:MM:SSZ. Only messages, threads, and drafts received on or after this date will be replicated. If not set, all historical data will be replicated.",
"examples": [
"2020-01-01T00:00:00Z"
],
"format": "date-time",
"order": 3,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start date",
"type": "string"
}
},
"required": [
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],
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
},
{
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"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"connectorBuildOptions": {
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},
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"suite": "liveTests",
"testConnections": [
{
"id": "2f19d7dc-0dc8-4e35-b785-d17270d59106",
"name": "gnews_config_dev_null"
}
]
},
{
"suite": "unitTests"
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_SOURCE-GNEWS__CREDS",
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"type": "GSM"
}
}
]
}
],
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"dockerImageTag": "0.2.23",
"dockerRepository": "airbyte/source-gnews",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gnews",
"externalDocumentationUrls": [
{
"title": "GNews API documentation",
"type": "api_reference",
"url": "https://gnews.io/docs/"
}
],
"generated": {
"git": {
"commit_author": "Aaron (\"AJ\") Steers",
"commit_author_email": "aj@airbyte.io",
"commit_sha": "798ce535b5c3f3f77594a5d04ba2809f64ee7437",
"commit_timestamp": "2025-11-18T18:02:56-08:00"
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"githubIssueLabel": "source-gnews",
"icon": "gnews.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-gnews/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"name": "GNews",
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"releaseStage": "alpha",
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"packageName": "airbyte-source-gnews"
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},
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"additionalProperties": true,
"properties": {
"api_key": {
"airbyte_secret": true,
"description": "API Key",
"order": 0,
"title": "API Key",
"type": "string"
},
"country": {
"description": "This parameter allows you to specify the country where the news articles returned by the API were published, the contents of the articles are not necessarily related to the specified country. You have to set as value the 2 letters code of the country you want to filter.",
"enum": [
"au",
"br",
"ca",
"cn",
"eg",
"fr",
"de",
"gr",
"hk",
"in",
"ie",
"il",
"it",
"jp",
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"ph",
"pt",
"ro",
"ru",
"sg",
"es",
"se",
"ch",
"tw",
"ua",
"gb",
"us"
],
"order": 3,
"title": "Country",
"type": "string"
},
"end_date": {
"description": "This parameter allows you to filter the articles that have a publication date smaller than or equal to the specified value. The date must respect the following format: YYYY-MM-DD hh:mm:ss (in UTC)",
"examples": [
"2022-08-21 16:27:09"
],
"order": 7,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}$",
"title": "End Date",
"type": "string"
},
"in": {
"description": "This parameter allows you to choose in which attributes the keywords are searched. The attributes that can be set are title, description and content. It is possible to combine several attributes.",
"items": {
"enum": [
"title",
"description",
"content"
],
"type": "string"
},
"order": 4,
"title": "In",
"type": "array"
},
"language": {
"decription": "This parameter allows you to specify the language of the news articles returned by the API. You have to set as value the 2 letters code of the language you want to filter.",
"enum": [
"ar",
"zh",
"nl",
"en",
"fr",
"de",
"el",
"he",
"hi",
"it",
"ja",
"ml",
"mr",
"no",
"pt",
"ro",
"ru",
"es",
"sv",
"ta",
"te",
"uk"
],
"order": 2,
"title": "Language",
"type": "string"
},
"nullable": {
"description": "This parameter allows you to specify the attributes that you allow to return null values. The attributes that can be set are title, description and content. It is possible to combine several attributes",
"items": {
"enum": [
"title",
"description",
"content"
],
"type": "string"
},
"order": 5,
"title": "Nullable",
"type": "array"
},
"query": {
"description": "This parameter allows you to specify your search keywords to find the news articles you are looking for. The keywords will be used to return the most relevant articles. It is possible to use logical operators with keywords. - Phrase Search Operator: This operator allows you to make an exact search. Keywords surrounded by \n quotation marks are used to search for articles with the exact same keyword\nsequence. \n For example the query: \"Apple iPhone\" will return articles matching at\nleast once this sequence of keywords. - Logical AND Operator: This operator allows you to make sure that several keywords are all used in the article\n search. By default the space character acts as an AND operator, it is\npossible to replace the space character \n by AND to obtain the same result. For example the query: Apple Microsoft\nis equivalent to Apple AND Microsoft - Logical OR Operator: This operator allows you to retrieve articles matching the keyword a or the keyword b.\n It is important to note that this operator has a higher precedence than\nthe AND operator. For example the \n query: Apple OR Microsoft will return all articles matching the keyword\nApple as well as all articles matching \n the keyword Microsoft\n- Logical NOT Operator: This operator allows you to remove from the results the articles corresponding to the\n specified keywords. To use it, you need to add NOT in front of each word\nor phrase surrounded by quotes.\n For example the query: Apple NOT iPhone will return all articles matching\nthe keyword Apple but not the keyword\n iPhone",
"examples": [
"Microsoft Windows 10",
"Apple OR Microsoft",
"Apple AND NOT iPhone",
"(Windows 7) AND (Windows 10)",
"Intel AND (i7 OR i9)"
],
"order": 1,
"title": "Query",
"type": "string"
},
"sortby": {
"description": "This parameter allows you to choose with which type of sorting the articles should be returned. Two values are possible:\n - publishedAt = sort by publication date, the articles with the most recent\npublication date are returned first\n - relevance = sort by best match to keywords, the articles with the best\nmatch are returned first",
"enum": [
"publishedAt",
"relevance"
],
"order": 8,
"title": "Sort By",
"type": "string"
},
"start_date": {
"description": "This parameter allows you to filter the articles that have a publication date greater than or equal to the specified value. The date must respect the following format: YYYY-MM-DD hh:mm:ss (in UTC)",
"examples": [
"2022-08-21 16:27:09"
],
"order": 6,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}$",
"title": "Start Date",
"type": "string"
},
"top_headlines_query": {
"description": "This parameter allows you to specify your search keywords to find the news articles you are looking for. The keywords will be used to return the most relevant articles. It is possible to use logical operators with keywords. - Phrase Search Operator: This operator allows you to make an exact search. Keywords surrounded by \n quotation marks are used to search for articles with the exact same keyword\nsequence. \n For example the query: \"Apple iPhone\" will return articles matching at\nleast once this sequence of keywords. - Logical AND Operator: This operator allows you to make sure that several keywords are all used in the article\n search. By default the space character acts as an AND operator, it is\npossible to replace the space character \n by AND to obtain the same result. For example the query: Apple Microsoft\nis equivalent to Apple AND Microsoft - Logical OR Operator: This operator allows you to retrieve articles matching the keyword a or the keyword b.\n It is important to note that this operator has a higher precedence than\nthe AND operator. For example the \n query: Apple OR Microsoft will return all articles matching the keyword\nApple as well as all articles matching \n the keyword Microsoft\n- Logical NOT Operator: This operator allows you to remove from the results the articles corresponding to the\n specified keywords. To use it, you need to add NOT in front of each word\nor phrase surrounded by quotes.\n For example the query: Apple NOT iPhone will return all articles matching\nthe keyword Apple but not the keyword\n iPhone",
"examples": [
"Microsoft Windows 10",
"Apple OR Microsoft",
"Apple AND NOT iPhone",
"(Windows 7) AND (Windows 10)",
"Intel AND (i7 OR i9)"
],
"order": 9,
"title": "Top Headlines Query",
"type": "string"
},
"top_headlines_topic": {
"description": "This parameter allows you to change the category for the request.",
"enum": [
"breaking-news",
"world",
"nation",
"business",
"technology",
"entertainment",
"sports",
"science",
"health"
],
"order": 10,
"title": "Top Headlines Topic",
"type": "string"
}
},
"required": [
"api_key",
"query"
],
"title": "Gnews Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/gnews",
"supportsDBT": false,
"supportsNormalization": false
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],
"order": 3,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
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},
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"title": "goldcast.io Source Spec",
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}
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},
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{
"scope": "api:calls:read:extensive"
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{
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{
"scope": "api:users:read"
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{
"scope": "api:stats:scorecards"
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{
"scope": "api:stats:interaction"
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{
"scope": "api:settings:scorecards:read"
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"oneOf": [
{
"additionalProperties": true,
"properties": {
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"description": "Access Token for making authenticated requests.",
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"title": "Access Token",
"type": "string"
},
"auth_type": {
"const": "OAuth2.0",
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"type": "string"
},
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"order": 2,
"title": "Client Secret",
"type": "string"
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"examples": [
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"title": "Access Token",
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"order": 1,
"title": "Client ID",
"type": "string"
},
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"order": 2,
"title": "Client Secret",
"type": "string"
},
"developer_token": {
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"order": 0,
"title": "Developer Token",
"type": "string"
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"refresh_token": {
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"order": 3,
"title": "Refresh Token",
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"title": "Google Credentials",
"type": "object"
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"examples": [
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"multiline": true,
"title": "Custom Query",
"type": "string"
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"type": "string"
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},
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"type": "object"
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"items": {
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"SUSPENDED",
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"title": "Customer Statuses Filter",
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"order": 4,
"pattern": "^$|^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
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"examples": [
2,
3,
5
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"maximum": 25,
"minimum": 2,
"order": 7,
"title": "Number of Concurrent Threads",
"type": "integer"
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"start_date": {
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"examples": [
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"format": "date",
"order": 3,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
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"properties": {
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"description": "The Access Token for making authenticated requests. For detailed instructions on finding this value, refer to our documentation.",
"order": 4,
"title": "Access Token",
"type": "string"
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"client_id": {
"description": "The Client ID of your Google Ads developer application. For detailed instructions on finding this value, refer to our documentation.",
"order": 1,
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The Client Secret of your Google Ads developer application. For detailed instructions on finding this value, refer to our documentation.",
"order": 2,
"title": "Client Secret",
"type": "string"
},
"developer_token": {
"airbyte_secret": true,
"description": "The Developer Token granted by Google to use their APIs. For detailed instructions on finding this value, refer to our documentation.",
"order": 0,
"title": "Developer Token",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The token used to obtain a new Access Token. For detailed instructions on finding this value, refer to our documentation.",
"order": 3,
"title": "Refresh Token",
"type": "string"
}
},
"required": [
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"client_secret",
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"title": "Google Credentials",
"type": "object"
},
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"items": {
"properties": {
"query": {
"description": "A custom defined GAQL query for building the report. Avoid including the segments.date field; wherever possible, Airbyte will automatically include it for incremental syncs. For more information, refer to Google's documentation.",
"examples": [
"SELECT segments.ad_destination_type, campaign.advertising_channel_sub_type FROM campaign WHERE campaign.status = 'PAUSED'"
],
"multiline": true,
"title": "Custom Query",
"type": "string"
},
"table_name": {
"description": "The table name in your destination database for the chosen query.",
"title": "Destination Table Name",
"type": "string"
}
},
"required": [
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],
"type": "object"
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"order": 5,
"title": "Custom GAQL Queries",
"type": "array"
},
"customer_id": {
"description": "Comma-separated list of (client) customer IDs. Each customer ID must be specified as a 10-digit number without dashes. For detailed instructions on finding this value, refer to our documentation.",
"examples": [
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"order": 1,
"pattern": "^[0-9]{10}(,[0-9]{10})*$",
"pattern_descriptor": "The customer ID must be 10 digits. Separate multiple customer IDs using commas.",
"title": "Customer ID(s)",
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"customer_status_filter": {
"default": [],
"description": "A list of customer statuses to filter on. For detailed info about what each status mean refer to Google Ads documentation.",
"items": {
"description": "An enumeration.",
"enum": [
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"ENABLED",
"CANCELED",
"SUSPENDED",
"CLOSED"
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"title": "CustomerStatus"
},
"order": 2,
"title": "Customer Statuses Filter",
"type": "array"
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"description": "UTC date in the format YYYY-MM-DD. Any data after this date will not be replicated. (Default value of today is used if not set)",
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"pattern": "^$|^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
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2,
3,
5
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"minimum": 2,
"order": 7,
"title": "Number of Concurrent Threads",
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"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
}
},
"required": [
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"title": "Google Ads Spec",
"type": "object"
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"documentationUrl": "https://docs.airbyte.com/integrations/sources/google-ads",
"supportsDBT": false,
"supportsNormalization": false
},
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"keyword_report",
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"user_location_report",
"geographic_view_with_metrics",
"display_keyword_performance_report",
"shopping_performance_report",
"display_topics_performance_report"
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"supportLevel": "certified",
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"properties": {
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"description": "Enables conversion of `conversions:*` event metrics from integers to floats. This is beneficial for preventing data rounding when the API returns float values for any `conversions:*` fields.",
"order": 8,
"title": "Convert `conversions:*` Metrics to Float",
"type": "boolean"
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"credentials": {
"description": "Credentials for the service",
"oneOf": [
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"properties": {
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"order": 4,
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"auth_type": {
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"order": 0,
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"client_id": {
"description": "The Client ID of your Google Analytics developer application.",
"order": 1,
"title": "Client ID",
"type": "string"
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"client_secret": {
"airbyte_secret": true,
"description": "The Client Secret of your Google Analytics developer application.",
"order": 2,
"title": "Client Secret",
"type": "string"
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"refresh_token": {
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"description": "The token for obtaining a new access token.",
"order": 3,
"title": "Refresh Token",
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},
"required": [
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"title": "Authenticate via Google (Oauth)",
"type": "object"
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"type": "string"
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"examples": [
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"order": 1,
"title": "Service Account JSON Key",
"type": "string"
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],
"order": 0,
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},
"custom_reports_array": {
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"items": {
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},
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"properties": {
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},
"title": "Cohort Report Settings",
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"items": {
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"format": "date",
"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
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},
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"type": "object"
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"order": 1,
"title": "Dimension",
"type": "string"
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"name": {
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"description": "Assigns a name to this cohort. If not set, cohorts are named by their zero based index cohort_0, cohort_1, etc.",
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},
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"name": "Cohorts",
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},
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"title": "End Offset",
"type": "integer"
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"granularity": {
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"enum": [
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"WEEKLY",
"MONTHLY"
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"order": 0,
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},
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},
"title": "Enabled",
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],
"order": 5,
"title": "Cohort Reports",
"type": "object"
},
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"description": "The FilterExpressions in andGroup have an AND relationship.",
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},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"order": 1,
"title": "Expressions",
"type": "array"
},
"filter_type": {
"const": "andGroup",
"order": 0,
"type": "string"
}
},
"required": [
"filter_type",
"expressions"
],
"title": "andGroup",
"type": "object"
},
{
"description": "The FilterExpressions in orGroup have an OR relationship.",
"properties": {
"expressions": {
"items": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"order": 1,
"title": "Expressions",
"type": "array"
},
"filter_type": {
"const": "orGroup",
"order": 0,
"type": "string"
}
},
"required": [
"filter_type",
"expressions"
],
"title": "orGroup",
"type": "object"
},
{
"description": "The FilterExpression is NOT of notExpression.",
"properties": {
"expression": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"filter_type": {
"const": "notExpression",
"order": 0,
"type": "string"
}
},
"title": "notExpression",
"type": "object"
},
{
"description": "A primitive filter. In the same FilterExpression, all of the filter's field names need to be either all dimensions.",
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
},
"filter_type": {
"const": "filter",
"order": 0,
"type": "string"
}
},
"required": [
"field_name",
"filter"
],
"title": "filter",
"type": "object"
}
],
"order": 3,
"title": "Dimensions filter",
"type": "object"
},
"dimensions": {
"description": "A list of dimensions.",
"items": {
"type": "string"
},
"minItems": 1,
"order": 1,
"title": "Dimensions",
"type": "array"
},
"metricFilter": {
"description": "Metrics filter",
"oneOf": [
{
"description": "The FilterExpressions in andGroup have an AND relationship.",
"properties": {
"expressions": {
"items": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"order": 1,
"title": "Expressions",
"type": "array"
},
"filter_type": {
"const": "andGroup",
"order": 0,
"type": "string"
}
},
"required": [
"filter_type",
"expressions"
],
"title": "andGroup",
"type": "object"
},
{
"description": "The FilterExpressions in orGroup have an OR relationship.",
"properties": {
"expressions": {
"items": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"order": 1,
"title": "Expressions",
"type": "array"
},
"filter_type": {
"const": "orGroup",
"order": 0,
"type": "string"
}
},
"required": [
"filter_type",
"expressions"
],
"title": "orGroup",
"type": "object"
},
{
"description": "The FilterExpression is NOT of notExpression.",
"properties": {
"expression": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"filter_type": {
"const": "notExpression",
"order": 0,
"type": "string"
}
},
"title": "notExpression",
"type": "object"
},
{
"description": "A primitive filter. In the same FilterExpression, all of the filter's field names need to be either all metrics.",
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
},
"filter_type": {
"const": "filter",
"order": 0,
"type": "string"
}
},
"required": [
"field_name",
"filter"
],
"title": "filter",
"type": "object"
}
],
"order": 4,
"title": "Metrics filter",
"type": "object"
},
"metrics": {
"description": "A list of metrics.",
"items": {
"type": "string"
},
"minItems": 1,
"order": 2,
"title": "Metrics",
"type": "array"
},
"name": {
"description": "The name of the custom report, this name would be used as stream name.",
"order": 0,
"title": "Name",
"type": "string"
}
},
"required": [
"name",
"dimensions",
"metrics"
],
"title": "Custom Report Config",
"type": "object"
},
"order": 4,
"title": "Custom Reports",
"type": "array"
},
"date_ranges_end_date": {
"description": "The end date from which to replicate report data in the format YYYY-MM-DD. Data generated after this date will not be included in the report. Not applied to custom Cohort reports. When no date is provided or the date is in the future, the date from today is used.",
"examples": [
"2021-01-31"
],
"format": "date",
"order": 3,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "End Date",
"type": "string"
},
"date_ranges_start_date": {
"description": "The start date from which to replicate report data in the format YYYY-MM-DD. Data generated before this date will not be included in the report. Not applied to custom Cohort reports.",
"examples": [
"2021-01-01"
],
"format": "date",
"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
},
"keep_empty_rows": {
"default": false,
"description": "If false, each row with all metrics equal to 0 will not be returned. If true, these rows will be returned if they are not separately removed by a filter. More information is available in the documentation.",
"order": 7,
"title": "Keep Empty Rows",
"type": "boolean"
},
"lookback_window": {
"default": 2,
"description": "Since attribution changes after the event date, and Google Analytics has a data processing latency, we should specify how many days in the past we should refresh the data in every run. So if you set it at 5 days, in every sync it will fetch the last bookmark date minus 5 days.",
"examples": [
2,
3,
4,
7,
14,
28
],
"maximum": 60,
"minimum": 2,
"order": 6,
"title": "Lookback window (Days)",
"type": "integer"
},
"property_ids": {
"description": "A list of your Property IDs. The Property ID is a unique number assigned to each property in Google Analytics, found in your GA4 property URL. This ID allows the connector to track the specific events associated with your property. Refer to the Google Analytics documentation to locate your property ID.",
"examples": [
[
"1738294",
"5729978930"
]
],
"items": {
"pattern": "^[0-9]*$",
"type": "string"
},
"order": 1,
"title": "Property IDs",
"type": "array",
"uniqueItems": true
},
"subscription_tier": {
"default": "Standard Property",
"description": "Quota tier of the Google Analytics 4 properties being queried. Determines the per-property rate-limit policy applied locally once the tier-aware rate-limit budget is activated. Select \"Analytics 360 Property\" only if all configured property IDs belong to an Analytics 360 subscription. See https://developers.google.com/analytics/devguides/reporting/data/v1/quotas.",
"enum": [
"Standard Property",
"Analytics 360 Property"
],
"order": 9,
"title": "Subscription Plan/Tier",
"type": "string"
},
"window_in_days": {
"default": 1,
"description": "The interval in days for each data request made to the Google Analytics API. A larger value speeds up data sync, but increases the chance of data sampling, which may result in inaccuracies. We recommend a value of 1 to minimize sampling, unless speed is an absolute priority over accuracy. Acceptable values range from 1 to 364. Does not apply to custom Cohort reports. More information is available in the documentation.",
"examples": [
30,
60,
90,
120,
200,
364
],
"maximum": 364,
"minimum": 1,
"order": 5,
"title": "Data Request Interval (Days)",
"type": "integer"
}
},
"required": [
"property_ids"
],
"title": "Google Analytics (Data API) Spec",
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"website_overview",
"daily_active_users",
"traffic_sources",
"pages",
"weekly_active_users",
"devices",
"locations",
"four_weekly_active_users",
"sessions"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-google-analytics-data-api"
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "check_connection",
"resourceRequirements": {
"memory_limit": "1600Mi",
"memory_request": "1600Mi"
}
}
]
},
"sourceDefinitionId": "3cc2eafd-84aa-4dca-93af-322d9dfeec1a",
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"properties": {
"access_token": {
"path_in_connector_config": [
"credentials",
"access_token"
],
"type": "string"
},
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_connector_input_specification": {
"access_token_url": "https://oauth2.googleapis.com/token?{{client_id_param}}&{{client_secret_param}}&{{auth_code_param}}&{{redirect_uri_param}}&grant_type=authorization_code",
"consent_url": "https://accounts.google.com/o/oauth2/v2/auth?{{client_id_param}}&{{redirect_uri_param}}&response_type=code&{{scopes_param}}&access_type=offline&{{state_param}}&include_granted_scopes=true&prompt=consent",
"extract_output": [
"refresh_token",
"access_token"
],
"scopes": [
{
"scope": "https://www.googleapis.com/auth/analytics.readonly"
}
],
"scopes_join_strategy": "space"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"$schema": "https://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"convert_conversions_event": {
"default": false,
"description": "Enables conversion of `conversions:*` event metrics from integers to floats. This is beneficial for preventing data rounding when the API returns float values for any `conversions:*` fields.",
"order": 8,
"title": "Convert `conversions:*` Metrics to Float",
"type": "boolean"
},
"credentials": {
"description": "Credentials for the service",
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Access Token for making authenticated requests.",
"order": 4,
"title": "Access Token",
"type": "string"
},
"auth_type": {
"const": "Client",
"order": 0,
"type": "string"
},
"client_id": {
"description": "The Client ID of your Google Analytics developer application.",
"order": 1,
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The Client Secret of your Google Analytics developer application.",
"order": 2,
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The token for obtaining a new access token.",
"order": 3,
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"refresh_token"
],
"title": "Authenticate via Google (Oauth)",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "Service",
"order": 0,
"type": "string"
},
"credentials_json": {
"airbyte_secret": true,
"description": "The JSON key linked to the service account used for authorization. For steps on obtaining this key, refer to the setup guide.",
"examples": [
"{ \"type\": \"service_account\", \"project_id\": YOUR_PROJECT_ID, \"private_key_id\": YOUR_PRIVATE_KEY, ... }"
],
"order": 1,
"title": "Service Account JSON Key",
"type": "string"
}
},
"required": [
"credentials_json"
],
"title": "Service Account Key Authentication",
"type": "object"
}
],
"order": 0,
"title": "Credentials",
"type": "object"
},
"custom_reports_array": {
"description": "You can add your Custom Analytics report by creating one.",
"items": {
"properties": {
"cohortSpec": {
"description": "Cohort reports creates a time series of user retention for the cohort.",
"oneOf": [
{
"properties": {
"enabled": {
"const": "false",
"type": "string"
}
},
"title": "Disabled",
"type": "object"
},
{
"properties": {
"cohortReportSettings": {
"description": "Optional settings for a cohort report.",
"properties": {
"accumulate": {
"always_show": true,
"description": "If true, accumulates the result from first touch day to the end day",
"title": "Accumulate",
"type": "boolean"
}
},
"title": "Cohort Report Settings",
"type": "object"
},
"cohorts": {
"always_show": true,
"items": {
"properties": {
"dateRange": {
"properties": {
"endDate": {
"examples": [
"2021-01-01"
],
"format": "date",
"order": 3,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "End Date",
"type": "string"
},
"startDate": {
"examples": [
"2021-01-01"
],
"format": "date",
"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
}
},
"required": [
"startDate",
"endDate"
],
"type": "object"
},
"dimension": {
"description": "Dimension used by the cohort. Required and only supports `firstSessionDate`",
"enum": [
"firstSessionDate"
],
"order": 1,
"title": "Dimension",
"type": "string"
},
"name": {
"always_show": true,
"description": "Assigns a name to this cohort. If not set, cohorts are named by their zero based index cohort_0, cohort_1, etc.",
"order": 0,
"pattern": "^(?!(cohort_|RESERVED_)).*$",
"title": "Name",
"type": "string"
}
},
"required": [
"dimension",
"dateRange"
],
"title": "Cohorts",
"type": "object"
},
"name": "Cohorts",
"order": 0,
"type": "array"
},
"cohortsRange": {
"order": 1,
"properties": {
"endOffset": {
"description": "Specifies the end date of the extended reporting date range for a cohort report.",
"minimum": 0,
"order": 2,
"title": "End Offset",
"type": "integer"
},
"granularity": {
"description": "The granularity used to interpret the startOffset and endOffset for the extended reporting date range for a cohort report.",
"enum": [
"GRANULARITY_UNSPECIFIED",
"DAILY",
"WEEKLY",
"MONTHLY"
],
"order": 0,
"title": "Granularity",
"type": "string"
},
"startOffset": {
"description": "Specifies the start date of the extended reporting date range for a cohort report.",
"minimum": 0,
"order": 1,
"title": "Start Offset",
"type": "integer"
}
},
"required": [
"granularity",
"endOffset"
],
"type": "object"
},
"enabled": {
"const": "true",
"type": "string"
}
},
"title": "Enabled",
"type": "object"
}
],
"order": 5,
"title": "Cohort Reports",
"type": "object"
},
"dimensionFilter": {
"description": "Dimensions filter",
"oneOf": [
{
"description": "The FilterExpressions in andGroup have an AND relationship.",
"properties": {
"expressions": {
"items": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"order": 1,
"title": "Expressions",
"type": "array"
},
"filter_type": {
"const": "andGroup",
"order": 0,
"type": "string"
}
},
"required": [
"filter_type",
"expressions"
],
"title": "andGroup",
"type": "object"
},
{
"description": "The FilterExpressions in orGroup have an OR relationship.",
"properties": {
"expressions": {
"items": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"order": 1,
"title": "Expressions",
"type": "array"
},
"filter_type": {
"const": "orGroup",
"order": 0,
"type": "string"
}
},
"required": [
"filter_type",
"expressions"
],
"title": "orGroup",
"type": "object"
},
{
"description": "The FilterExpression is NOT of notExpression.",
"properties": {
"expression": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"filter_type": {
"const": "notExpression",
"order": 0,
"type": "string"
}
},
"title": "notExpression",
"type": "object"
},
{
"description": "A primitive filter. In the same FilterExpression, all of the filter's field names need to be either all dimensions.",
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
},
"filter_type": {
"const": "filter",
"order": 0,
"type": "string"
}
},
"required": [
"field_name",
"filter"
],
"title": "filter",
"type": "object"
}
],
"order": 3,
"title": "Dimensions filter",
"type": "object"
},
"dimensions": {
"description": "A list of dimensions.",
"items": {
"type": "string"
},
"minItems": 1,
"order": 1,
"title": "Dimensions",
"type": "array"
},
"metricFilter": {
"description": "Metrics filter",
"oneOf": [
{
"description": "The FilterExpressions in andGroup have an AND relationship.",
"properties": {
"expressions": {
"items": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"order": 1,
"title": "Expressions",
"type": "array"
},
"filter_type": {
"const": "andGroup",
"order": 0,
"type": "string"
}
},
"required": [
"filter_type",
"expressions"
],
"title": "andGroup",
"type": "object"
},
{
"description": "The FilterExpressions in orGroup have an OR relationship.",
"properties": {
"expressions": {
"items": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"order": 1,
"title": "Expressions",
"type": "array"
},
"filter_type": {
"const": "orGroup",
"order": 0,
"type": "string"
}
},
"required": [
"filter_type",
"expressions"
],
"title": "orGroup",
"type": "object"
},
{
"description": "The FilterExpression is NOT of notExpression.",
"properties": {
"expression": {
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
}
},
"required": [
"field_name",
"filter"
],
"title": "Expression",
"type": "object"
},
"filter_type": {
"const": "notExpression",
"order": 0,
"type": "string"
}
},
"title": "notExpression",
"type": "object"
},
{
"description": "A primitive filter. In the same FilterExpression, all of the filter's field names need to be either all metrics.",
"properties": {
"field_name": {
"order": 1,
"title": "fieldName",
"type": "string"
},
"filter": {
"oneOf": [
{
"properties": {
"caseSensitive": {
"order": 2,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "stringFilter",
"type": "string"
},
"matchType": {
"items": {
"enum": [
"MATCH_TYPE_UNSPECIFIED",
"EXACT",
"BEGINS_WITH",
"ENDS_WITH",
"CONTAINS",
"FULL_REGEXP",
"PARTIAL_REGEXP"
],
"title": "ValidEnums"
},
"order": 1,
"title": "matchType",
"type": "array"
},
"value": {
"order": 0,
"tittle": "value",
"type": "string"
}
},
"required": [
"filter_name",
"value"
],
"title": "stringFilter",
"type": "object"
},
{
"properties": {
"caseSensitive": {
"order": 1,
"tittle": "caseSensitive",
"type": "boolean"
},
"filter_name": {
"const": "inListFilter",
"type": "string"
},
"values": {
"items": {
"type": "string"
},
"minItems": 1,
"order": 0,
"tittle": "values",
"type": "array"
}
},
"required": [
"filter_name",
"values"
],
"title": "inListFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "numericFilter",
"type": "string"
},
"operation": {
"items": {
"enum": [
"OPERATION_UNSPECIFIED",
"EQUAL",
"LESS_THAN",
"LESS_THAN_OR_EQUAL",
"GREATER_THAN",
"GREATER_THAN_OR_EQUAL"
],
"title": "ValidEnums"
},
"order": 1,
"title": "operation",
"type": "array"
},
"value": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "value",
"type": "object"
}
},
"required": [
"filter_name",
"operation",
"value"
],
"title": "numericFilter",
"type": "object"
},
{
"properties": {
"filter_name": {
"const": "betweenFilter",
"type": "string"
},
"fromValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 0,
"tittle": "fromValue",
"type": "object"
},
"toValue": {
"oneOf": [
{
"properties": {
"value": {
"type": "string"
},
"value_type": {
"const": "int64Value",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "int64Value",
"type": "object"
},
{
"properties": {
"value": {
"type": "number"
},
"value_type": {
"const": "doubleValue",
"type": "string"
}
},
"required": [
"value_type",
"value"
],
"title": "doubleValue",
"type": "object"
}
],
"order": 1,
"tittle": "toValue",
"type": "object"
}
},
"required": [
"filter_name",
"fromValue",
"toValue"
],
"title": "betweenFilter",
"type": "object"
}
],
"order": 2,
"title": "filter",
"type": "object"
},
"filter_type": {
"const": "filter",
"order": 0,
"type": "string"
}
},
"required": [
"field_name",
"filter"
],
"title": "filter",
"type": "object"
}
],
"order": 4,
"title": "Metrics filter",
"type": "object"
},
"metrics": {
"description": "A list of metrics.",
"items": {
"type": "string"
},
"minItems": 1,
"order": 2,
"title": "Metrics",
"type": "array"
},
"name": {
"description": "The name of the custom report, this name would be used as stream name.",
"order": 0,
"title": "Name",
"type": "string"
}
},
"required": [
"name",
"dimensions",
"metrics"
],
"title": "Custom Report Config",
"type": "object"
},
"order": 4,
"title": "Custom Reports",
"type": "array"
},
"date_ranges_end_date": {
"description": "The end date from which to replicate report data in the format YYYY-MM-DD. Data generated after this date will not be included in the report. Not applied to custom Cohort reports. When no date is provided or the date is in the future, the date from today is used.",
"examples": [
"2021-01-31"
],
"format": "date",
"order": 3,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "End Date",
"type": "string"
},
"date_ranges_start_date": {
"description": "The start date from which to replicate report data in the format YYYY-MM-DD. Data generated before this date will not be included in the report. Not applied to custom Cohort reports.",
"examples": [
"2021-01-01"
],
"format": "date",
"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
},
"keep_empty_rows": {
"default": false,
"description": "If false, each row with all metrics equal to 0 will not be returned. If true, these rows will be returned if they are not separately removed by a filter. More information is available in the documentation.",
"order": 7,
"title": "Keep Empty Rows",
"type": "boolean"
},
"lookback_window": {
"default": 2,
"description": "Since attribution changes after the event date, and Google Analytics has a data processing latency, we should specify how many days in the past we should refresh the data in every run. So if you set it at 5 days, in every sync it will fetch the last bookmark date minus 5 days.",
"examples": [
2,
3,
4,
7,
14,
28
],
"maximum": 60,
"minimum": 2,
"order": 6,
"title": "Lookback window (Days)",
"type": "integer"
},
"property_ids": {
"description": "A list of your Property IDs. The Property ID is a unique number assigned to each property in Google Analytics, found in your GA4 property URL. This ID allows the connector to track the specific events associated with your property. Refer to the Google Analytics documentation to locate your property ID.",
"examples": [
[
"1738294",
"5729978930"
]
],
"items": {
"pattern": "^[0-9]*$",
"type": "string"
},
"order": 1,
"title": "Property IDs",
"type": "array",
"uniqueItems": true
},
"window_in_days": {
"default": 1,
"description": "The interval in days for each data request made to the Google Analytics API. A larger value speeds up data sync, but increases the chance of data sampling, which may result in inaccuracies. We recommend a value of 1 to minimize sampling, unless speed is an absolute priority over accuracy. Acceptable values range from 1 to 364. Does not apply to custom Cohort reports. More information is available in the documentation.",
"examples": [
30,
60,
90,
120,
200,
364
],
"maximum": 364,
"minimum": 1,
"order": 5,
"title": "Data Request Interval (Days)",
"type": "integer"
}
},
"required": [
"property_ids"
],
"title": "Google Analytics (Data API) Spec",
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"website_overview",
"daily_active_users",
"traffic_sources",
"pages",
"weekly_active_users",
"devices",
"locations",
"four_weekly_active_users",
"sessions"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"allowedHosts": {
"hosts": [
"googleapis.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/source-declarative-manifest:7.17.4@sha256:f85ae668c118cc9a42dae007325b916d63c2df72d6809677582b4fa8a1c65bbb"
},
"custom": false,
"dockerImageTag": "0.0.39",
"dockerRepository": "airbyte/source-google-calendar",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/google-calendar",
"externalDocumentationUrls": [
{
"title": "Google Calendar API reference",
"type": "api_reference",
"url": "https://developers.google.com/calendar/api/v3/reference"
},
{
"title": "Google Calendar authentication",
"type": "authentication_guide",
"url": "https://developers.google.com/calendar/api/guides/auth"
},
{
"title": "Google Calendar quotas",
"type": "rate_limits",
"url": "https://developers.google.com/calendar/api/guides/quota"
},
{
"title": "Google Workspace Status",
"type": "status_page",
"url": "https://www.google.com/appsstatus/"
}
],
"generated": {
"git": {
"commit_author": "octavia-bot-hoard[bot]",
"commit_author_email": "230633153+octavia-bot-hoard[bot]@users.noreply.github.com",
"commit_sha": "d5c54ea9c09114eb5754541b16d6c2d4011811f3",
"commit_timestamp": "2026-04-28T06:12:21+00:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-google-calendar/0.0.39.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-google-calendar/latest/metadata.yaml",
"metadata_last_modified": "2026-04-28T06:16:13.388830+00:00",
"registry_entry_generated_at": "2026-04-28T06:16:13.388830+00:00"
}
},
"githubIssueLabel": "source-google-calendar",
"icon": "icon.svg",
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{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
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},
{
"description": "Sends one identity stream and one for more permissions (ACL) streams to the destination. This data can be used in downstream systems to recreate permission restrictions mirroring the original source.",
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],
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},
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"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
}
},
"required": [
"streams",
"folder_url",
"credentials"
],
"title": "Google Drive Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/google-drive",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsFileTransfer": true,
"supportsRefreshes": false,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-google-drive"
}
},
"sourceDefinitionId": "9f8dda77-1048-4368-815b-269bf54ee9b8",
"sourceType": "file",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"path_in_oauth_response": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_connector_input_specification": {
"access_token_url": "https://oauth2.googleapis.com/token?{{client_id_param}}&{{client_secret_param}}&{{auth_code_param}}&{{redirect_uri_param}}&grant_type=authorization_code",
"consent_url": "https://accounts.google.com/o/oauth2/v2/auth?{{client_id_param}}&{{redirect_uri_param}}&response_type=code&{{scopes_param}}&access_type=offline&{{state_param}}&include_granted_scopes=true&prompt=consent",
"scopes": [
{
"scope": "https://www.googleapis.com/auth/drive.readonly"
},
{
"scope": "https://www.googleapis.com/auth/admin.directory.group.readonly"
},
{
"scope": "https://www.googleapis.com/auth/admin.directory.group.member.readonly"
},
{
"scope": "https://www.googleapis.com/auth/admin.directory.user.readonly"
}
]
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"description": "Used during spec; allows the developer to configure the cloud provider specific options\nthat are needed when users configure a file-based source.",
"properties": {
"credentials": {
"description": "Credentials for connecting to the Google Drive API",
"oneOf": [
{
"properties": {
"auth_type": {
"const": "Client",
"default": "Client",
"enum": [
"Client"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID for the Google Drive API",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret for the Google Drive API",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token for the Google Drive API",
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"refresh_token",
"auth_type"
],
"title": "Authenticate via Google (OAuth)",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "Service",
"default": "Service",
"enum": [
"Service"
],
"title": "Auth Type",
"type": "string"
},
"service_account_info": {
"airbyte_secret": true,
"description": "The JSON key of the service account to use for authorization. Read more here.",
"title": "Service Account Information",
"type": "string"
}
},
"required": [
"service_account_info",
"auth_type"
],
"title": "Service Account Key Authentication",
"type": "object"
}
],
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
},
{
"description": "Sends one identity stream and one for more permissions (ACL) streams to the destination. This data can be used in downstream systems to recreate permission restrictions mirroring the original source.",
"properties": {
"delivery_type": {
"const": "use_permissions_transfer",
"default": "use_permissions_transfer",
"enum": [
"use_permissions_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"domain": {
"airbyte_hidden": false,
"description": "The Google domain of the identities.",
"order": 1,
"title": "Domain",
"type": "string"
},
"include_identities_stream": {
"default": true,
"description": "This data can be used in downstream systems to recreate permission restrictions mirroring the original source",
"title": "Include Identity Stream",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Permissions ACL",
"type": "object"
}
],
"order": 1,
"title": "Delivery Method",
"type": "object"
},
"folder_url": {
"description": "URL for the folder you want to sync. Using individual streams and glob patterns, it's possible to only sync a subset of all files located in the folder.",
"examples": [
"https://drive.google.com/drive/folders/1Xaz0vXXXX2enKnNYU5qSt9NS70gvMyYn"
],
"order": 0,
"pattern": "^https://drive.google.com/.+",
"pattern_descriptor": "https://drive.google.com/drive/folders/MY-FOLDER-ID",
"title": "Folder Url",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01",
"2021-01-01T00:00:00Z",
"2021-01-01T00:00:00.000Z",
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}(T[0-9]{2}:[0-9]{2}:[0-9]{2}(\\.[0-9]+)?(Z|[+-][0-9]{2}:[0-9]{2})?)?$",
"pattern_descriptor": "YYYY-MM-DD, YYYY-MM-DDTHH:mm:ssZ, or YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
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"authorization",
"client_secret"
],
"type": "string"
}
},
"type": "object"
}
},
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"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"always_use_aggregation_type_auto": {
"default": false,
"description": "Some search analytics streams fail with a 400 error if the specified `aggregationType` is not supported. This is customer implementation dependent and if this error is encountered, enable this setting which will override the existing `aggregationType` to use `auto` which should resolve the stream errors.",
"order": 7,
"title": "Always Use Aggregation Type Auto",
"type": "boolean"
},
"authorization": {
"description": "",
"oneOf": [
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "Access token for making authenticated requests. Read more here.",
"title": "Access Token",
"type": "string"
},
"auth_type": {
"const": "Client",
"order": 0,
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The client ID of your Google Search Console developer application. Read more here.",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The client secret of your Google Search Console developer application. Read more here.",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The token for obtaining a new access token. Read more here.",
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"auth_type",
"client_id",
"client_secret",
"refresh_token"
],
"title": "OAuth",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "Service",
"order": 0,
"type": "string"
},
"email": {
"description": "The email of the user which has permissions to access the Google Workspace Admin APIs.",
"title": "Admin Email",
"type": "string"
},
"service_account_info": {
"airbyte_secret": true,
"description": "The JSON key of the service account to use for authorization. Read more here.",
"examples": [
"{ \"type\": \"service_account\", \"project_id\": YOUR_PROJECT_ID, \"private_key_id\": YOUR_PRIVATE_KEY, ... }"
],
"title": "Service Account JSON Key",
"type": "string"
}
},
"required": [
"auth_type",
"service_account_info",
"email"
],
"title": "Service Account Key Authentication",
"type": "object"
}
],
"order": 3,
"title": "Authentication Type",
"type": "object"
},
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"airbyte_hidden": true,
"description": "(DEPRCATED) A JSON array describing the custom reports you want to sync from Google Search Console. See our documentation for more information on formulating custom reports.",
"order": 4,
"title": "Custom Reports",
"type": "string"
},
"custom_reports_array": {
"description": "You can add your Custom Analytics report by creating one.",
"items": {
"properties": {
"dimensions": {
"default": [
"date"
],
"description": "A list of available dimensions. Please note, that for technical reasons `date` is the default dimension which will be included in your query whether you specify it or not. Primary key will consist of your custom dimensions and the default dimension along with `site_url` and `search_type`.",
"items": {
"description": "An enumeration of dimensions.",
"enum": [
"country",
"date",
"device",
"page",
"query"
],
"title": "ValidEnums"
},
"minItems": 0,
"title": "Dimensions",
"type": "array"
},
"name": {
"description": "The name of the custom report, this name would be used as stream name",
"title": "Name",
"type": "string"
}
},
"required": [
"name",
"dimensions"
],
"title": "Custom Report Config",
"type": "object"
},
"order": 5,
"title": "Custom Reports",
"type": "array"
},
"data_state": {
"default": "final",
"description": "If set to 'final', the returned data will include only finalized, stable data. If set to 'all', fresh data will be included. When using Incremental sync mode, we do not recommend setting this parameter to 'all' as it may cause data loss. More information can be found in our full documentation.",
"enum": [
"final",
"all"
],
"examples": [
"final",
"all"
],
"order": 6,
"title": "Data Freshness",
"type": "string"
},
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"description": "UTC date in the format YYYY-MM-DD. Any data created after this date will not be replicated. Must be greater or equal to the start date field. Leaving this field blank will replicate all data from the start date onward.",
"examples": [
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],
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"order": 2,
"pattern": "^$|^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "End Date",
"type": "string"
},
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"default": 40,
"description": "The number of worker threads to use for the sync. For more details on Google Search Console rate limits, refer to the docs.",
"examples": [
30,
40,
50
],
"maximum": 100,
"minimum": 2,
"title": "Number of concurrent workers",
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},
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"description": "The URLs of the website property attached to your GSC account. Learn more about properties here.",
"examples": [
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"sc-domain:example2.com"
],
"items": {
"type": "string"
},
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"title": "Website URL Property",
"type": "array"
},
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"default": "2021-01-01",
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"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
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"title": "Start Date",
"type": "string"
}
},
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"authorization"
],
"title": "Google Search Console Spec",
"type": "object"
},
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},
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"search_analytics_by_query",
"search_analytics_by_device",
"sitemaps",
"sites",
"search_analytics_all_fields"
]
},
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"supportsDataActivation": false,
"supportsFileTransfer": false,
"supportsRefreshes": false,
"tags": [
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"cdk:low-code"
],
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}
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{
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50
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"examples": [
60,
300,
1200
],
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"minimum": 1,
"order": 9,
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"allow_leading_numbers": {
"default": false,
"description": "Allows column names to start with numbers. Example: \"50th Percentile\" \u2192 \"50_th_percentile\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 7,
"title": "Allow Leading Numbers",
"type": "boolean"
},
"batch_size": {
"default": 1000000,
"description": "Default value is 1000000. An integer representing row batch size for each sent request to Google Sheets API. Row batch size means how many rows are processed from the google sheet, for example default value 1000000 would process rows 2-1000002, then 1000003-2000003 and so on. Based on Google Sheets API limits documentation, it is possible to send up to 300 requests per minute, but each individual request has to be processed under 180 seconds, otherwise the request returns a timeout error. In regards to this information, consider network speed and number of columns of the google sheet when deciding a batch_size value.",
"order": 1,
"title": "Row Batch Size",
"type": "integer"
},
"combine_letter_number_pairs": {
"default": false,
"description": "Combines adjacent letters and numbers. Example: \"Q3 2023\" \u2192 \"q3_2023\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 6,
"title": "Combine Letter-Number Pairs",
"type": "boolean"
},
"combine_number_word_pairs": {
"default": false,
"description": "Combines adjacent numbers and words. Example: \"50th Percentile?\" \u2192 \"_50th_percentile_\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 4,
"title": "Combine Number-Word Pairs",
"type": "boolean"
},
"credentials": {
"description": "Credentials for connecting to the Google Sheets API",
"oneOf": [
{
"properties": {
"auth_type": {
"const": "Client",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Enter your Google application's Client ID. See Google's documentation for more information.",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Enter your Google application's Client Secret. See Google's documentation for more information.",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Enter your Google application's refresh token. See Google's documentation for more information.",
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"auth_type",
"client_id",
"client_secret",
"refresh_token"
],
"title": "Authenticate via Google (OAuth)",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "Service",
"type": "string"
},
"service_account_info": {
"airbyte_secret": true,
"description": "The JSON key of the service account to use for authorization. Read more here.",
"examples": [
"{ \"type\": \"service_account\", \"project_id\": YOUR_PROJECT_ID, \"private_key_id\": YOUR_PRIVATE_KEY, ... }"
],
"title": "Service Account Information.",
"type": "string"
}
},
"required": [
"auth_type",
"service_account_info"
],
"title": "Service Account Key Authentication",
"type": "object"
}
],
"title": "Authentication",
"type": "object"
},
"names_conversion": {
"default": false,
"description": "Converts column names to a SQL-compliant format (snake_case, lowercase, etc). If enabled, you can further customize the sanitization using the options below.",
"order": 2,
"title": "Convert Column Names to SQL-Compliant Format",
"type": "boolean"
},
"remove_leading_trailing_underscores": {
"default": false,
"description": "Removes leading and trailing underscores from column names. Does not remove leading underscores from column names that start with a number. Example: \"50th Percentile? \"\u2192 \"_50_th_percentile\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 3,
"title": "Remove Leading and Trailing Underscores",
"type": "boolean"
},
"remove_special_characters": {
"default": false,
"description": "Removes all special characters from column names. Example: \"Example ID*\" \u2192 \"example_id\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 5,
"title": "Remove All Special Characters",
"type": "boolean"
},
"spreadsheet_id": {
"description": "Enter the link to the Google spreadsheet you want to sync. To copy the link, click the 'Share' button in the top-right corner of the spreadsheet, then click 'Copy link'.",
"examples": [
"https://docs.google.com/spreadsheets/d/1hLd9Qqti3UyLXZB2aFfUWDT7BG-arw2xy4HR3D-dwUb/edit"
],
"order": 0,
"title": "Spreadsheet Link",
"type": "string"
},
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"description": "**Overridden streams will default to Sync Mode: Full Refresh (Append), which does not support primary keys. If you want to use primary keys and deduplication, update the sync mode to \"Full Refresh | Overwrite + Deduped\" in your connection settings.**\nAllows you to rename streams (Google Sheet tab names) as they appear in Airbyte. \nEach item should be an object with a `source_stream_name` (the exact name of the sheet/tab in your spreadsheet) and a `custom_stream_name` (the name you want it to appear as in Airbyte and the destination).\nIf a `source_stream_name` is not found in your spreadsheet, it will be ignored and the default name will be used. This feature only affects stream (sheet/tab) names, not field/column names.\nIf you want to rename fields or column names, you can do so using the Airbyte Mappings feature after your connection is created. See the Airbyte documentation for more details on how to use Mappings.\nExamples:\n - To rename a sheet called \"Sheet1\" to \"sales_data\", and \"2024 Q1\" to \"q1_2024\":\n [\n { \"source_stream_name\": \"Sheet1\", \"custom_stream_name\": \"sales_data\" },\n { \"source_stream_name\": \"2024 Q1\", \"custom_stream_name\": \"q1_2024\" }\n ]\n - If you do not wish to rename any streams, leave this blank.",
"items": {
"order": 8,
"properties": {
"custom_stream_name": {
"description": "The name you want this stream to appear as in Airbyte and your destination.",
"order": 1,
"title": "Custom Stream Name",
"type": "string"
},
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"description": "The exact name of the sheet/tab in your Google Spreadsheet.",
"order": 0,
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"type": "string"
}
},
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],
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"title": "Stream Name Overrides",
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},
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"title": "Google Sheets Source Spec",
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},
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"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
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"tags": [
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},
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"consent_url": "https://accounts.google.com/o/oauth2/v2/auth?{{client_id_param}}&{{redirect_uri_param}}&response_type=code&{{scopes_param}}&access_type=offline&{{state_param}}&include_granted_scopes=true&prompt=consent",
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},
{
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"description": "Allows column names to start with numbers. Example: \"50th Percentile\" \u2192 \"50_th_percentile\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 7,
"title": "Allow Leading Numbers",
"type": "boolean"
},
"batch_size": {
"default": 1000000,
"description": "Default value is 1000000. An integer representing row batch size for each sent request to Google Sheets API. Row batch size means how many rows are processed from the google sheet, for example default value 1000000 would process rows 2-1000002, then 1000003-2000003 and so on. Based on Google Sheets API limits documentation, it is possible to send up to 300 requests per minute, but each individual request has to be processed under 180 seconds, otherwise the request returns a timeout error. In regards to this information, consider network speed and number of columns of the google sheet when deciding a batch_size value.",
"order": 1,
"title": "Row Batch Size",
"type": "integer"
},
"combine_letter_number_pairs": {
"default": false,
"description": "Combines adjacent letters and numbers. Example: \"Q3 2023\" \u2192 \"q3_2023\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 6,
"title": "Combine Letter-Number Pairs",
"type": "boolean"
},
"combine_number_word_pairs": {
"default": false,
"description": "Combines adjacent numbers and words. Example: \"50th Percentile?\" \u2192 \"_50th_percentile_\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 4,
"title": "Combine Number-Word Pairs",
"type": "boolean"
},
"credentials": {
"description": "Credentials for connecting to the Google Sheets API",
"oneOf": [
{
"properties": {
"auth_type": {
"const": "Client",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Enter your Google application's Client ID. See Google's documentation for more information.",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Enter your Google application's Client Secret. See Google's documentation for more information.",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Enter your Google application's refresh token. See Google's documentation for more information.",
"title": "Refresh Token",
"type": "string"
}
},
"required": [
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"client_id",
"client_secret",
"refresh_token"
],
"title": "Authenticate via Google (OAuth)",
"type": "object"
},
{
"properties": {
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"const": "Service",
"type": "string"
},
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"examples": [
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],
"title": "Service Account Information.",
"type": "string"
}
},
"required": [
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"service_account_info"
],
"title": "Service Account Key Authentication",
"type": "object"
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],
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"type": "object"
},
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"default": false,
"description": "Converts column names to a SQL-compliant format (snake_case, lowercase, etc). If enabled, you can further customize the sanitization using the options below.",
"order": 2,
"title": "Convert Column Names to SQL-Compliant Format",
"type": "boolean"
},
"read_empty_header_columns": {
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"description": "When enabled, the connector will continue reading columns after empty header cells and will include data from those columns using generated column names (e.g., \"column_C\"). By default, the connector stops reading columns when it encounters an empty header cell.",
"order": 8,
"title": "Read Empty Header Columns",
"type": "boolean"
},
"remove_leading_trailing_underscores": {
"default": false,
"description": "Removes leading and trailing underscores from column names. Does not remove leading underscores from column names that start with a number. Example: \"50th Percentile? \"\u2192 \"_50_th_percentile\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 3,
"title": "Remove Leading and Trailing Underscores",
"type": "boolean"
},
"remove_special_characters": {
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"description": "Removes all special characters from column names. Example: \"Example ID*\" \u2192 \"example_id\" This option will only work if \"Convert Column Names to SQL-Compliant Format (names_conversion)\" is enabled.",
"order": 5,
"title": "Remove All Special Characters",
"type": "boolean"
},
"spreadsheet_id": {
"description": "Enter the link to the Google spreadsheet you want to sync. To copy the link, click the 'Share' button in the top-right corner of the spreadsheet, then click 'Copy link'.",
"examples": [
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],
"order": 0,
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"items": {
"order": 9,
"properties": {
"custom_stream_name": {
"description": "The name you want this stream to appear as in Airbyte and your destination.",
"order": 1,
"title": "Custom Stream Name",
"type": "string"
},
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"description": "The exact name of the sheet/tab in your Google Spreadsheet.",
"order": 0,
"title": "Source Stream Name",
"type": "string"
}
},
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"type": "array"
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},
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"title": "Google Sheets Source Spec",
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"name": "SECRET_SOURCE-LINKEDIN_ADS_OAUTH2_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config_multiple_account_ids.json",
"name": "SECRET_SOURCE-LINKEDIN_ADS_OAUTH2_MULTIPLE_IDS__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config.json",
"name": "SECRET_SOURCE-LINKEDIN_ADS_OLD_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config_token.json",
"name": "SECRET_SOURCE-LINKEDIN_ADS_TOKEN_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "5.6.0-rc.1",
"dockerRepository": "airbyte/source-linkedin-ads",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/linkedin-ads",
"generated": {
"git": {
"commit_author": "Brian Lai",
"commit_author_email": "51336873+brianjlai@users.noreply.github.com",
"commit_sha": "deb4440a2327e5086411cbf849916dfd08d03f92",
"commit_timestamp": "2025-10-30T15:40:24-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-linkedin-ads/5.6.0-rc.1.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-linkedin-ads/5.6.0-rc.1/metadata.yaml",
"metadata_last_modified": "2025-10-30T22:44:51.985000+00:00",
"registry_entry_generated_at": "2025-10-30T22:46:08.802870"
}
},
"githubIssueLabel": "source-linkedin-ads",
"icon": "linkedin.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-linkedin-ads/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"maxSecondsBetweenMessages": 86400,
"name": "LinkedIn Ads",
"packageInfo": {},
"public": true,
"releaseStage": "generally_available",
"releases": {
"breakingChanges": {
"1.0.0": {
"message": "This upgrade brings changes in primary key to *-analytics streams.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/linkedin-ads-migrations#1.0.0",
"scopedImpact": [
{
"impactedScopes": [
"ad_campaign_analytics",
"ad_creative_analytics",
"ad_impression_device_analytics",
"ad_member_company_size_analytics",
"ad_member_country_analytics",
"ad_member_job_function_analytics",
"ad_member_job_title_analytics",
"ad_member_industry_analytics",
"ad_member_seniority_analytics",
"ad_member_region_analytics",
"ad_member_company_analytics"
],
"scopeType": "stream"
}
],
"upgradeDeadline": "2024-04-30"
},
"2.0.0": {
"message": "This upgrade changes primary key for *-analytics streams from pivotValues[array of strings] to string_of_pivot_values[string] so that it is compatible with more destination types.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/linkedin-ads-migrations#2.0.0",
"scopedImpact": [
{
"impactedScopes": [
"ad_campaign_analytics",
"ad_creative_analytics",
"ad_impression_device_analytics",
"ad_member_company_size_analytics",
"ad_member_country_analytics",
"ad_member_job_function_analytics",
"ad_member_job_title_analytics",
"ad_member_industry_analytics",
"ad_member_seniority_analytics",
"ad_member_region_analytics",
"ad_member_company_analytics"
],
"scopeType": "stream"
}
],
"upgradeDeadline": "2024-05-14"
},
"3.0.0": {
"message": "This release introduces updated format of state for incremental streams and changes primary key for AccountUsers streams from account to account. Users will need to reset affected streams after upgrading. Please see migration guide for more details.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/linkedin-ads-migrations#3.0.0",
"scopedImpact": [
{
"impactedScopes": [
"account_users",
"campaigns",
"creatives",
"campaign_groups",
"conversions"
],
"scopeType": "stream"
}
],
"upgradeDeadline": "2024-08-20"
},
"4.0.0": {
"message": "This release introduces updated format of state for incremental streams and changes primary key for AccountUsers streams from composite key - [account, user] to key - account. Users using 3.X.X of the connector will need to reset affected streams after upgrading. Please see migration guide for more details.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/linkedin-ads-migrations#4.0.0",
"scopedImpact": [
{
"impactedScopes": [
"account_users",
"campaigns",
"creatives",
"campaign_groups",
"conversions"
],
"scopeType": "stream"
}
],
"upgradeDeadline": "2024-08-21"
},
"5.0.0": {
"deadlineAction": "auto_upgrade",
"message": "We would like to inform you that the Primary Key (PK) for ad_campaign_analytics and Custom Ad Analytics Reports streams has been changed from [string_of_pivot_values, end_date] to [string_of_pivot_values, end_date, sponsoredCampaign] and Primary Key (PK) for account_users stream has been changed from [account] to [account, user]. This update is intended to improve data integrity and ensure optimal performance. Upgrade LinkedIn Ads to apply these changes immediately. Otherwise, LinkedIn Ads will be upgraded automatically on 2024-12-10.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/linkedin-ads-migrations#5.0.0",
"upgradeDeadline": "2024-12-10"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/linkedin-ads-migrations",
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-linkedin-ads"
}
},
"sourceDefinitionId": "137ece28-5434-455c-8f34-69dc3782f451",
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_method"
],
"predicate_value": "oAuth2.0"
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"account_ids": {
"default": [],
"description": "Specify the account IDs to pull data from, separated by a space. Leave this field empty if you want to pull the data from all accounts accessible by the authenticated user. See the LinkedIn docs to locate these IDs.",
"examples": [
123456789
],
"items": {
"type": "integer"
},
"title": "Account IDs",
"type": "array"
},
"ad_analytics_reports": {
"default": [],
"items": {
"description": "Config for custom ad Analytics Report",
"properties": {
"name": {
"description": "The name for the custom report.",
"title": "Report Name",
"type": "string"
},
"pivot_by": {
"description": "Choose a category to pivot your analytics report around. This selection will organize your data based on the chosen attribute, allowing you to analyze trends and performance from different perspectives.",
"enum": [
"COMPANY",
"ACCOUNT",
"SHARE",
"CAMPAIGN",
"CREATIVE",
"CAMPAIGN_GROUP",
"CONVERSION",
"CONVERSATION_NODE",
"CONVERSATION_NODE_OPTION_INDEX",
"SERVING_LOCATION",
"CARD_INDEX",
"MEMBER_COMPANY_SIZE",
"MEMBER_INDUSTRY",
"MEMBER_SENIORITY",
"MEMBER_JOB_TITLE",
"MEMBER_JOB_FUNCTION",
"MEMBER_COUNTRY_V2",
"MEMBER_REGION_V2",
"MEMBER_COMPANY",
"PLACEMENT_NAME",
"IMPRESSION_DEVICE_TYPE"
],
"title": "Pivot Category",
"type": "string"
},
"time_granularity": {
"description": "Choose how to group the data in your report by time. The options are:
- 'ALL': A single result summarizing the entire time range.
- 'DAILY': Group results by each day.
- 'MONTHLY': Group results by each month.
- 'YEARLY': Group results by each year.
Selecting a time grouping helps you analyze trends and patterns over different time periods.",
"enum": [
"ALL",
"DAILY",
"MONTHLY",
"YEARLY"
],
"title": "Time Granularity",
"type": "string"
}
},
"required": [
"name",
"pivot_by",
"time_granularity"
],
"title": "Ad Analytics Report Configuration",
"type": "object"
},
"title": "Custom Ad Analytics Reports",
"type": "array"
},
"credentials": {
"oneOf": [
{
"properties": {
"auth_method": {
"const": "oAuth2.0",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The client ID of your developer application. Refer to our documentation for more information.",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The client secret of your developer application. Refer to our documentation for more information.",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The key to refresh the expired access token. Refer to our documentation for more information.",
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"refresh_token"
],
"title": "OAuth2.0",
"type": "object"
},
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "The access token generated for your developer application. Refer to our documentation for more information.",
"title": "Access Token",
"type": "string"
},
"auth_method": {
"const": "access_token",
"type": "string"
}
},
"required": [
"access_token"
],
"title": "Access Token",
"type": "object"
}
],
"title": "Authentication",
"type": "object"
},
"lookback_window": {
"default": 0,
"description": "How far into the past to look for records. (in days)",
"minimum": 0,
"title": "Lookback Window",
"type": "integer"
},
"num_workers": {
"default": 3,
"description": "The number of workers to use for the connector. This is used to limit the number of concurrent requests to the LinkedIn Ads API. If not set, the default is 3 workers.",
"maximum": 50,
"minimum": 2,
"title": "Number of Workers",
"type": "integer"
},
"start_date": {
"description": "UTC date in the format YYYY-MM-DD. Any data before this date will not be replicated.",
"examples": [
"2021-05-17"
],
"format": "date",
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
}
},
"required": [
"start_date"
],
"title": "Linkedin Ads Spec",
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"accounts",
"account_users",
"ad_campaign_analytics",
"ad_creative_analytics",
"campaigns",
"campaign_groups",
"creatives"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"cdk:low-code",
"language:manifest-only"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-linkedin-ads"
}
},
"sourceDefinitionId": "137ece28-5434-455c-8f34-69dc3782f451",
"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_connector_input_specification": {
"access_token_headers": {
"Content-Type": "application/x-www-form-urlencoded"
},
"access_token_params": {
"client_id": "{{ client_id_value }}",
"client_secret": "{{ client_secret_value }}",
"code": "{{ auth_code_value }}",
"grant_type": "authorization_code",
"redirect_uri": "{{ redirect_uri_value }}"
},
"access_token_url": "https://www.linkedin.com/oauth/v2/accessToken",
"consent_url": "https://www.linkedin.com/oauth/v2/authorization?{{client_id_param}}&{{redirect_uri_param}}&response_type=code&{{scopes_param}}&{{state_param}}",
"extract_output": [
"refresh_token"
],
"scopes": [
{
"scope": "r_marketing_leadgen_automation"
},
{
"scope": "r_ads_reporting"
},
{
"scope": "r_liteprofile"
},
{
"scope": "r_organization_social"
},
{
"scope": "r_ads"
},
{
"scope": "r_emailaddress"
},
{
"scope": "r_basicprofile"
},
{
"scope": "r_events"
},
{
"scope": "r_organization_admin"
},
{
"scope": "r_ads_leadgen_automation"
},
{
"scope": "r_1st_connections_size"
}
],
"scopes_join_strategy": "space"
}
},
"predicate_key": [
"credentials",
"auth_method"
],
"predicate_value": "oAuth2.0"
},
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"account_ids": {
"default": [],
"description": "Specify the account IDs to pull data from, separated by a space. Leave this field empty if you want to pull the data from all accounts accessible by the authenticated user. See the LinkedIn docs to locate these IDs.",
"examples": [
123456789
],
"items": {
"type": "integer"
},
"title": "Account IDs",
"type": "array"
},
"ad_analytics_reports": {
"default": [],
"items": {
"description": "Config for custom ad Analytics Report",
"properties": {
"name": {
"description": "The name for the custom report.",
"title": "Report Name",
"type": "string"
},
"pivot_by": {
"description": "Choose a category to pivot your analytics report around. This selection will organize your data based on the chosen attribute, allowing you to analyze trends and performance from different perspectives.",
"enum": [
"COMPANY",
"ACCOUNT",
"SHARE",
"CAMPAIGN",
"CREATIVE",
"CAMPAIGN_GROUP",
"CONVERSION",
"CONVERSATION_NODE",
"CONVERSATION_NODE_OPTION_INDEX",
"SERVING_LOCATION",
"CARD_INDEX",
"MEMBER_COMPANY_SIZE",
"MEMBER_INDUSTRY",
"MEMBER_SENIORITY",
"MEMBER_JOB_TITLE",
"MEMBER_JOB_FUNCTION",
"MEMBER_COUNTRY_V2",
"MEMBER_REGION_V2",
"MEMBER_COMPANY",
"PLACEMENT_NAME",
"IMPRESSION_DEVICE_TYPE"
],
"title": "Pivot Category",
"type": "string"
},
"time_granularity": {
"description": "Choose how to group the data in your report by time. The options are:
- 'ALL': A single result summarizing the entire time range.
- 'DAILY': Group results by each day.
- 'MONTHLY': Group results by each month.
- 'YEARLY': Group results by each year.
Selecting a time grouping helps you analyze trends and patterns over different time periods.",
"enum": [
"ALL",
"DAILY",
"MONTHLY",
"YEARLY"
],
"title": "Time Granularity",
"type": "string"
}
},
"required": [
"name",
"pivot_by",
"time_granularity"
],
"title": "Ad Analytics Report Configuration",
"type": "object"
},
"title": "Custom Ad Analytics Reports",
"type": "array"
},
"credentials": {
"oneOf": [
{
"properties": {
"auth_method": {
"const": "oAuth2.0",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The client ID of your developer application. Refer to our documentation for more information.",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The client secret of your developer application. Refer to our documentation for more information.",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "The key to refresh the expired access token. Refer to our documentation for more information.",
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"client_id",
"client_secret",
"refresh_token"
],
"title": "OAuth2.0",
"type": "object"
},
{
"properties": {
"access_token": {
"airbyte_secret": true,
"description": "The access token generated for your developer application. Refer to our documentation for more information.",
"title": "Access Token",
"type": "string"
},
"auth_method": {
"const": "access_token",
"type": "string"
}
},
"required": [
"access_token"
],
"title": "Access Token",
"type": "object"
}
],
"title": "Authentication",
"type": "object"
},
"lookback_window": {
"default": 0,
"description": "How far into the past to look for records. (in days)",
"minimum": 0,
"title": "Lookback Window",
"type": "integer"
},
"num_workers": {
"default": 3,
"description": "The number of workers to use for the connector. This is used to limit the number of concurrent requests to the LinkedIn Ads API. If not set, the default is 3 workers.",
"maximum": 50,
"minimum": 2,
"title": "Number of Workers",
"type": "integer"
},
"start_date": {
"description": "UTC date in the format YYYY-MM-DD. Any data before this date will not be replicated.",
"examples": [
"2021-05-17"
],
"format": "date",
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
}
},
"required": [
"start_date"
],
"title": "Linkedin Ads Spec",
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"accounts",
"account_users",
"ad_campaign_analytics",
"ad_creative_analytics",
"campaigns",
"campaign_groups",
"creatives"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"cdk:low-code",
"language:manifest-only"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 200,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"allowedHosts": {
"hosts": [
"api.linkedin.com",
"www.linkedin.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/source-declarative-manifest:6.51.0@sha256:890b109f243b8b9406f23ea7522de41025f7b3e87f6fc9710bc1e521213a276f"
},
"connectorTestSuitesOptions": [
{
"suite": "liveTests",
"testConnections": [
{
"id": "4460fd33-21fe-46de-83ee-b886aaf38803",
"name": "linkedin-pages_config_dev_null"
}
]
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_SOURCE-LINKEDIN-PAGES__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "1.1.25",
"dockerRepository": "airbyte/source-linkedin-pages",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/linkedin-pages",
"externalDocumentationUrls": [
{
"title": "LinkedIn Pages API",
"type": "api_reference",
"url": "https://learn.microsoft.com/en-us/linkedin/marketing/integrations/community-management/organizations"
},
{
"title": "LinkedIn authentication",
"type": "authentication_guide",
"url": "https://learn.microsoft.com/en-us/linkedin/shared/authentication/authentication"
},
{
"title": "LinkedIn rate limits",
"type": "rate_limits",
"url": "https://learn.microsoft.com/en-us/linkedin/shared/api-guide/concepts/rate-limits"
}
],
"generated": {
"git": {
"commit_author": "Aaron (\"AJ\") Steers",
"commit_author_email": "aj@airbyte.io",
"commit_sha": "7b75fa71ee1d91b6c1394c746e38c4b96356deb8",
"commit_timestamp": "2025-11-18T18:06:06-08:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-linkedin-pages/1.1.25.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-linkedin-pages/latest/metadata.yaml",
"metadata_last_modified": "2025-11-19T02:20:36.575000+00:00",
"registry_entry_generated_at": "2025-11-19T02:38:43.836565"
}
},
"githubIssueLabel": "source-linkedin-pages",
"icon": "linkedin.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-linkedin-pages/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"name": "Linkedin Pages",
"packageInfo": {},
"public": true,
"releaseDate": "2022-08-11",
"releaseStage": "alpha",
"releases": {},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-linkedin-pages"
}
},
"sourceDefinitionId": "af54297c-e8f8-4d63-a00d-a94695acc9d3",
"sourceType": "api",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"credentials": {
"oneOf": [
{
"properties": {
"auth_method": {
"const": "oAuth2.0",
"type": "string"
},
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"title": "Authentication",
"type": "object"
},
"drive_name": {
"default": "OneDrive",
"description": "Name of the Microsoft OneDrive drive where the file(s) exist.",
"order": 2,
"title": "Drive Name",
"type": "string"
},
"folder_path": {
"default": ".",
"description": "Path to a specific folder within the drives to search for files. Leave empty to search all folders of the drives. This does not apply to shared items.",
"order": 4,
"title": "Folder Path",
"type": "string"
},
"search_scope": {
"default": "ALL",
"description": "Specifies the location(s) to search for files. Valid options are 'ACCESSIBLE_DRIVES' to search in the selected OneDrive drive, 'SHARED_ITEMS' for shared items the user has access to, and 'ALL' to search both.",
"enum": [
"ACCESSIBLE_DRIVES",
"SHARED_ITEMS",
"ALL"
],
"order": 3,
"title": "Search Scope",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
}
},
"required": [
"streams",
"credentials"
],
"title": "Microsoft OneDrive Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/one-drive"
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": false,
"ql": 100,
"requireVersionIncrementsInPullRequests": true,
"sl": 100
},
"allowedHosts": {
"hosts": [
"graph.microsoft.com",
"login.microsoftonline.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.2@sha256:9fdb1888c4264cf6fee473649ecb593f56f58e5d0096a87ee0b231777e2e3e73"
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"connectorTestSuitesOptions": [
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{
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}
}
]
}
],
"custom": false,
"dockerImageTag": "0.10.4",
"dockerRepository": "airbyte/source-microsoft-sharepoint",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/microsoft-sharepoint",
"externalDocumentationUrls": [
{
"title": "SharePoint REST API",
"type": "api_reference",
"url": "https://learn.microsoft.com/en-us/sharepoint/dev/sp-add-ins/get-to-know-the-sharepoint-rest-service"
},
{
"title": "SharePoint authentication",
"type": "authentication_guide",
"url": "https://learn.microsoft.com/en-us/sharepoint/dev/sp-add-ins/authorization-and-authentication-of-sharepoint-add-ins"
},
{
"title": "Microsoft 365 Status",
"type": "status_page",
"url": "https://status.office365.com/"
}
],
"generated": {
"git": {
"commit_author": "Aaron (\"AJ\") Steers",
"commit_author_email": "aj@airbyte.io",
"commit_sha": "f589f89217fcd99c0f9bde1874730559aa8f0eeb",
"commit_timestamp": "2025-11-18T18:09:21-08:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-microsoft-sharepoint/0.10.4.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-microsoft-sharepoint/latest/metadata.yaml",
"metadata_last_modified": "2025-11-19T02:12:37.477000+00:00",
"registry_entry_generated_at": "2025-11-19T02:38:54.783225"
}
},
"githubIssueLabel": "source-microsoft-sharepoint",
"icon": "microsoft-sharepoint.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-microsoft-sharepoint/latest/icon.svg",
"language": "python",
"license": "ELv2",
"maxSecondsBetweenMessages": 5400,
"name": "Microsoft SharePoint",
"packageInfo": {
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},
"public": true,
"releaseDate": "2024-02-02",
"releaseStage": "alpha",
"releases": {
"releaseCandidates": {
"0.10.0-rc.1": {
"ab_internal": {
"ql": 400,
"sl": 300
},
"allowedHosts": {
"hosts": [
"graph.microsoft.com",
"login.microsoftonline.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.0@sha256:d9894b6895923b379f3006fa251147806919c62b7d9021b5cd125bb67d7bbe22"
},
"connectorTestSuitesOptions": [
{
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"testConnections": null,
"testSecrets": null
},
{
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"testConnections": null,
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_SOURCE-MICROSOFT-SHAREPOINTS_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "0.10.0-rc.1",
"dockerRepository": "airbyte/source-microsoft-sharepoint",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/microsoft-sharepoint",
"generated": {
"git": {
"commit_author": "Aldo Gonzalez",
"commit_author_email": "168454423+aldogonzalez8@users.noreply.github.com",
"commit_sha": "75973e4e87affb53d784e5feb232f014abb3915f",
"commit_timestamp": "2025-05-06T09:33:44-06:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-microsoft-sharepoint/0.10.0-rc.1.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_etag": "CIXG17mXj40DEAE=",
"metadata_file_path": "metadata/airbyte/source-microsoft-sharepoint/0.10.0-rc.1/metadata.yaml",
"metadata_last_modified": "2025-05-06T15:42:36.012000+00:00",
"registry_entry_generated_at": "2025-05-06T15:44:56.297021"
}
},
"githubIssueLabel": "source-microsoft-sharepoint",
"icon": "microsoft-sharepoint.svg",
"language": "python",
"license": "MIT",
"maxSecondsBetweenMessages": 5400,
"name": "Microsoft SharePoint",
"packageInfo": {
"cdk_version": "python:6.45.10"
},
"public": true,
"releaseDate": "2024-02-02",
"releaseStage": "alpha",
"releases": {
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-microsoft-sharepoint"
}
},
"sourceDefinitionId": "59353119-f0f2-4e5a-a8ba-15d887bc34f6",
"sourceType": "file",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"path_in_oauth_response": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_connector_input_specification": {
"access_token_headers": {
"Content-Type": "application/x-www-form-urlencoded"
},
"access_token_params": {
"client_id": "{{ client_id_value }}",
"client_secret": "{{ client_secret_value }}",
"code": "{{ auth_code_value }}",
"grant_type": "authorization_code",
"redirect_uri": "{{ redirect_uri_value }}"
},
"access_token_url": "https://login.microsoftonline.com/{{tenant_id}}/oauth2/v2.0/token",
"consent_url": "https://login.microsoftonline.com/{{tenant_id}}/oauth2/v2.0/authorize?{{client_id_param}}&{{redirect_uri_param}}&{{state_param}}&{{scope_param}}&response_type=code",
"scope": "offline_access Files.Read.All Sites.Read.All Sites.Selected"
},
"oauth_user_input_from_connector_config_specification": {
"additionalProperties": false,
"properties": {
"tenant_id": {
"path_in_connector_config": [
"credentials",
"tenant_id"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"description": "SourceMicrosoftSharePointSpec class for Microsoft SharePoint Source Specification.\nThis class combines the authentication details with additional configuration for the SharePoint API.",
"properties": {
"credentials": {
"description": "Credentials for connecting to the One Drive API",
"oneOf": [
{
"description": "OAuthCredentials class to hold authentication details for Microsoft OAuth authentication.\nThis class uses pydantic for data validation and settings management.",
"properties": {
"auth_type": {
"const": "Client",
"default": "Client",
"enum": [
"Client"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token of your Microsoft developer application",
"title": "Refresh Token",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft SharePoint user",
"title": "Tenant ID",
"type": "string"
}
},
"required": [
"tenant_id",
"client_id",
"client_secret"
],
"title": "Authenticate via Microsoft (OAuth)",
"type": "object"
},
{
"description": "ServiceCredentials class for service key authentication.\nThis class is structured similarly to OAuthCredentials but for a different authentication method.",
"properties": {
"auth_type": {
"const": "Service",
"default": "Service",
"enum": [
"Service"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft SharePoint user",
"title": "Tenant ID",
"type": "string"
},
"user_principal_name": {
"airbyte_secret": true,
"description": "Special characters such as a period, comma, space, and the at sign (@) are converted to underscores (_). More details: https://learn.microsoft.com/en-us/sharepoint/list-onedrive-urls",
"title": "User Principal Name",
"type": "string"
}
},
"required": [
"tenant_id",
"user_principal_name",
"client_id",
"client_secret"
],
"title": "Service Key Authentication",
"type": "object"
}
],
"order": 0,
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 1,
"title": "Delivery Method",
"type": "object"
},
"folder_path": {
"default": ".",
"description": "Path to a specific folder within the drives to search for files. Leave empty to search all folders of the drives. This does not apply to shared items.",
"order": 4,
"title": "Folder Path",
"type": "string"
},
"search_scope": {
"default": "ALL",
"description": "Specifies the location(s) to search for files. Valid options are 'ACCESSIBLE_DRIVES' for all SharePoint drives the user can access, 'SHARED_ITEMS' for shared items the user has access to, and 'ALL' to search both.",
"enum": [
"ACCESSIBLE_DRIVES",
"SHARED_ITEMS",
"ALL"
],
"order": 3,
"title": "Search Scope",
"type": "string"
},
"site_url": {
"default": "",
"description": "Url of SharePoint site to search for files. Leave empty to search in the main site. Use 'https://.sharepoint.com/sites/' to iterate over all sites.",
"order": 5,
"title": "Site URL",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
}
},
"required": [
"streams",
"credentials"
],
"title": "Microsoft SharePoint Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/microsoft-sharepoint",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsFileTransfer": true,
"supportsRefreshes": false,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-microsoft-sharepoint"
}
},
"sourceDefinitionId": "59353119-f0f2-4e5a-a8ba-15d887bc34f6",
"sourceType": "file",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"path_in_oauth_response": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_connector_input_specification": {
"access_token_headers": {
"Content-Type": "application/x-www-form-urlencoded"
},
"access_token_params": {
"client_id": "{{ client_id_value }}",
"client_secret": "{{ client_secret_value }}",
"code": "{{ auth_code_value }}",
"grant_type": "authorization_code",
"redirect_uri": "{{ redirect_uri_value }}"
},
"access_token_url": "https://login.microsoftonline.com/{{tenant_id}}/oauth2/v2.0/token",
"consent_url": "https://login.microsoftonline.com/{{tenant_id}}/oauth2/v2.0/authorize?{{client_id_param}}&{{redirect_uri_param}}&{{state_param}}&{{scope_param}}&response_type=code",
"scope": "offline_access Files.Read.All Sites.Read.All Sites.Selected"
},
"oauth_user_input_from_connector_config_specification": {
"additionalProperties": false,
"properties": {
"tenant_id": {
"path_in_connector_config": [
"credentials",
"tenant_id"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"description": "SourceMicrosoftSharePointSpec class for Microsoft SharePoint Source Specification.\nThis class combines the authentication details with additional configuration for the SharePoint API.",
"properties": {
"credentials": {
"description": "Credentials for connecting to the One Drive API",
"oneOf": [
{
"description": "OAuthCredentials class to hold authentication details for Microsoft OAuth authentication.\nThis class uses pydantic for data validation and settings management.",
"properties": {
"auth_type": {
"const": "Client",
"default": "Client",
"enum": [
"Client"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token of your Microsoft developer application",
"title": "Refresh Token",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft SharePoint user",
"title": "Tenant ID",
"type": "string"
}
},
"required": [
"tenant_id",
"client_id",
"client_secret"
],
"title": "Authenticate via Microsoft (OAuth)",
"type": "object"
},
{
"description": "ServiceCredentials class for service key authentication.\nThis class is structured similarly to OAuthCredentials but for a different authentication method.",
"properties": {
"auth_type": {
"const": "Service",
"default": "Service",
"enum": [
"Service"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft SharePoint user",
"title": "Tenant ID",
"type": "string"
},
"user_principal_name": {
"airbyte_secret": true,
"description": "Special characters such as a period, comma, space, and the at sign (@) are converted to underscores (_). More details: https://learn.microsoft.com/en-us/sharepoint/list-onedrive-urls",
"title": "User Principal Name",
"type": "string"
}
},
"required": [
"tenant_id",
"user_principal_name",
"client_id",
"client_secret"
],
"title": "Service Key Authentication",
"type": "object"
}
],
"order": 0,
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 1,
"title": "Delivery Method",
"type": "object"
},
"folder_path": {
"default": ".",
"description": "Path to a specific folder within the drives to search for files. Leave empty to search all folders of the drives. This does not apply to shared items.",
"order": 4,
"title": "Folder Path",
"type": "string"
},
"search_scope": {
"default": "ALL",
"description": "Specifies the location(s) to search for files. Valid options are 'ACCESSIBLE_DRIVES' for all SharePoint drives the user can access, 'SHARED_ITEMS' for shared items the user has access to, and 'ALL' to search both.",
"enum": [
"ACCESSIBLE_DRIVES",
"SHARED_ITEMS",
"ALL"
],
"order": 3,
"title": "Search Scope",
"type": "string"
},
"site_url": {
"default": "",
"description": "Url of SharePoint site to search for files. Leave empty to search in the main site. Use 'https://.sharepoint.com/sites/' to iterate over all sites.",
"order": 5,
"title": "Site URL",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
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"description": "Setting this config parameter to TRUE ensures that new properties on events and engage records are captured. Otherwise new properties will be ignored.",
"order": 4,
"title": "Select Properties By Default",
"type": "boolean"
},
"start_date": {
"description": "The date in the format YYYY-MM-DD. Any data before this date will not be replicated. If this option is not set, the connector will replicate data from up to one year ago by default.",
"examples": [
"2021-11-16"
],
"format": "date-time",
"order": 5,
"pattern": "^$|^[0-9]{4}-[0-9]{2}-[0-9]{2}(T[0-9]{2}:[0-9]{2}:[0-9]{2}Z)?$",
"title": "Start Date",
"type": "string"
}
},
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],
"title": "Source Mixpanel Spec",
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},
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{
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"url": "https://mode.com/developer/api-reference/"
},
{
"title": "Mode authentication",
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}
],
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"title": "API Secret",
"type": "string"
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}
},
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"extract_output": [
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],
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"items": {
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"title": "Boards to sync",
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},
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"const": "oauth2.0",
"order": 1,
"type": "string"
},
"client_id": {
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"description": "The Client ID of your OAuth application.",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The Client Secret of your OAuth application.",
"title": "Client Secret",
"type": "string"
},
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"default": "",
"description": "Slug/subdomain of the account, or the first part of the URL that comes before .monday.com",
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"title": "Subdomain/Slug",
"type": "string"
}
},
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},
{
"properties": {
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"description": "API Token for making authenticated requests.",
"title": "Personal API Token",
"type": "string"
},
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"const": "api_token",
"order": 0,
"type": "string"
}
},
"required": [
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"api_token"
],
"title": "API Token",
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2,
3
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},
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"tags": [
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"cdk:low-code"
],
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}
},
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}
},
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"packageName": "airbyte-source-monday"
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},
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}
},
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},
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{
"scope": "boards:read"
},
{
"scope": "workspaces:read"
},
{
"scope": "users:read"
},
{
"scope": "account:read"
},
{
"scope": "updates:read"
},
{
"scope": "assets:read"
},
{
"scope": "tags:read"
},
{
"scope": "teams:read"
}
],
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},
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"properties": {
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"type": "string"
}
},
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}
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"items": {
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"title": "Boards to sync",
"type": "array"
},
"credentials": {
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{
"properties": {
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"airbyte_secret": true,
"description": "Access Token for making authenticated requests.",
"title": "Access Token",
"type": "string"
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"auth_type": {
"const": "oauth2.0",
"order": 1,
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The Client ID of your OAuth application.",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The Client Secret of your OAuth application.",
"title": "Client Secret",
"type": "string"
},
"subdomain": {
"default": "",
"description": "Slug/subdomain of the account, or the first part of the URL that comes before .monday.com",
"order": 0,
"title": "Subdomain/Slug",
"type": "string"
}
},
"required": [
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2,
3
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"title": "Number of concurrent threads",
"type": "integer"
}
},
"required": [],
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"type": "object"
},
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"supportsNormalization": false
},
"suggestedStreams": {
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]
},
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"tags": [
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"playback_id": {
"description": "The playback id for your video asset shown in website details",
"order": 3,
"title": "Playback ID",
"type": "string"
},
"start_date": {
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"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
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{
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{
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{
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],
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},
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"order": 13,
"title": "Check Table and Column Access Privileges",
"type": "boolean"
},
"checkpoint_target_interval_seconds": {
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"order": 11,
"title": "Checkpoint Target Time Interval",
"type": "integer"
},
"concurrency": {
"default": 1,
"description": "Maximum number of concurrent queries to the database.",
"order": 12,
"title": "Concurrency",
"type": "integer"
},
"database": {
"always_show": true,
"description": "The database name.",
"order": 6,
"title": "Database",
"type": "string"
},
"host": {
"description": "Hostname of the database.",
"order": 1,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (example: key1=value1&key2=value2&key3=value3).",
"order": 7,
"title": "JDBC URL Params",
"type": "string"
},
"password": {
"airbyte_secret": true,
"always_show": true,
"description": "The password associated with the username.",
"order": 5,
"title": "Password",
"type": "string"
},
"port": {
"default": 3306,
"description": "Port of the database.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "Port",
"type": "integer"
},
"replication_method": {
"description": "Configures how data is extracted from the database.",
"display_type": "radio",
"oneOf": [
{
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"description": "Incrementally detects new inserts and updates using the cursor column chosen when configuring a connection (e.g. created_at, updated_at).",
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"enum": [
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],
"type": "string"
}
},
"required": [
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],
"title": "Scan Changes with User Defined Cursor",
"type": "object"
},
{
"additionalProperties": true,
"description": "Recommended - Incrementally reads new inserts, updates, and deletes using MySQL's change data capture feature. This must be enabled on your database.",
"properties": {
"initial_load_timeout_hours": {
"always_show": true,
"default": 8,
"description": "The amount of time an initial load is allowed to continue for before catching up on CDC logs.",
"max": 24,
"min": 4,
"order": 3,
"title": "Initial Load Timeout in Hours (Advanced)",
"type": "integer"
},
"invalid_cdc_cursor_position_behavior": {
"always_show": true,
"default": "Fail sync",
"description": "Determines whether Airbyte should fail or re-sync data in case of an stale/invalid cursor value in the mined logs. If 'Fail sync' is chosen, a user will have to manually reset the connection before being able to continue syncing data. If 'Re-sync data' is chosen, Airbyte will automatically trigger a refresh but could lead to higher cloud costs and data loss.",
"enum": [
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"order": 2,
"title": "Invalid CDC Position Behavior (Advanced)",
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},
"method": {
"default": "CDC",
"enum": [
"CDC"
],
"type": "string"
},
"server_timezone": {
"always_show": true,
"description": "Enter the configured MySQL server timezone. This should only be done if the configured timezone in your MySQL instance does not conform to IANNA standard.",
"order": 1,
"title": "Configured server timezone for the MySQL source (Advanced)",
"type": "string"
}
},
"required": [
"method"
],
"title": "Read Changes using Change Data Capture (CDC)",
"type": "object"
}
],
"order": 10,
"title": "Update Method",
"type": "object"
},
"ssl_mode": {
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"description": "The encryption method which is used when communicating with the database.",
"oneOf": [
{
"additionalProperties": true,
"description": "To allow unencrypted communication only when the source doesn't support encryption.",
"properties": {
"mode": {
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}
},
"required": [
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],
"title": "preferred",
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},
{
"additionalProperties": true,
"description": "To always require encryption. Note: The connection will fail if the source doesn't support encryption.",
"properties": {
"mode": {
"default": "required",
"enum": [
"required"
],
"type": "string"
}
},
"required": [
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],
"title": "required",
"type": "object"
},
{
"additionalProperties": true,
"description": "To always require encryption and verify that the source has a valid SSL certificate.",
"properties": {
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"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"title": "CA certificate",
"type": "string"
},
"client_certificate": {
"airbyte_secret": true,
"description": "Client certificate (this is not a required field, but if you want to use it, you will need to add the Client key as well)",
"multiline": true,
"title": "Client certificate File",
"type": "string"
},
"client_key": {
"airbyte_secret": true,
"description": "Client key (this is not a required field, but if you want to use it, you will need to add the Client certificate as well)",
"multiline": true,
"title": "Client Key",
"type": "string"
},
"client_key_password": {
"airbyte_secret": true,
"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"multiline": true,
"title": "Client key password",
"type": "string"
},
"mode": {
"default": "verify_ca",
"enum": [
"verify_ca"
],
"type": "string"
}
},
"required": [
"mode",
"ca_certificate"
],
"title": "verify_ca",
"type": "object"
},
{
"additionalProperties": true,
"description": "To always require encryption and verify that the source has a valid SSL certificate.",
"properties": {
"ca_certificate": {
"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"title": "CA certificate",
"type": "string"
},
"client_certificate": {
"airbyte_secret": true,
"description": "Client certificate (this is not a required field, but if you want to use it, you will need to add the Client key as well)",
"multiline": true,
"title": "Client certificate File",
"type": "string"
},
"client_key": {
"airbyte_secret": true,
"description": "Client key (this is not a required field, but if you want to use it, you will need to add the Client certificate as well)",
"multiline": true,
"title": "Client Key",
"type": "string"
},
"client_key_password": {
"airbyte_secret": true,
"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"multiline": true,
"title": "Client key password",
"type": "string"
},
"mode": {
"default": "verify_identity",
"enum": [
"verify_identity"
],
"type": "string"
}
},
"required": [
"mode",
"ca_certificate"
],
"title": "verify_identity",
"type": "object"
}
],
"order": 8,
"title": "Encryption",
"type": "object"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"oneOf": [
{
"additionalProperties": true,
"description": "No ssh tunnel needed to connect to database",
"properties": {
"tunnel_method": {
"default": "NO_TUNNEL",
"enum": [
"NO_TUNNEL"
],
"type": "string"
}
},
"required": [
"tunnel_method"
],
"title": "No Tunnel",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and ssh key",
"properties": {
"ssh_key": {
"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_KEY_AUTH",
"enum": [
"SSH_KEY_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
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"tunnel_host",
"tunnel_port",
"tunnel_user",
"ssh_key"
],
"title": "SSH Key Authentication",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and password authentication",
"properties": {
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_PASSWORD_AUTH",
"enum": [
"SSH_PASSWORD_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
},
"tunnel_user_password": {
"airbyte_secret": true,
"description": "OS-level password for logging into the jump server host",
"order": 4,
"title": "Password",
"type": "string"
}
},
"required": [
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"tunnel_host",
"tunnel_port",
"tunnel_user",
"tunnel_user_password"
],
"title": "Password Authentication",
"type": "object"
}
],
"order": 9,
"title": "SSH Tunnel Method",
"type": "object"
},
"username": {
"description": "The username which is used to access the database.",
"order": 4,
"title": "User",
"type": "string"
}
},
"required": [
"host",
"port",
"database",
"username",
"replication_method"
],
"title": "MySQL Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/mysql",
"supported_destination_sync_modes": [],
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"supportsRefreshes": false,
"tags": [
"language:java"
],
"tombstone": false
}
},
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"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"sourceDefinitionId": "435bb9a5-7887-4809-aa58-28c27df0d7ad",
"sourceType": "database",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
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"default": true,
"description": "When this feature is enabled, during schema discovery the connector will query each table or view individually to check access privileges and inaccessible tables, views, or columns therein will be removed. In large schemas, this might cause schema discovery to take too long, in which case it might be advisable to disable this feature.",
"order": 13,
"title": "Check Table and Column Access Privileges",
"type": "boolean"
},
"checkpoint_target_interval_seconds": {
"default": 300,
"description": "How often (in seconds) a stream should checkpoint, when possible.",
"order": 12,
"title": "Checkpoint Target Time Interval",
"type": "integer"
},
"concurrency": {
"airbyte_hidden": true,
"default": 1,
"description": "Maximum number of concurrent queries to the database.",
"order": 13,
"title": "Concurrency",
"type": "integer"
},
"database": {
"always_show": true,
"description": "The database name.",
"order": 6,
"title": "Database",
"type": "string"
},
"host": {
"description": "Hostname of the database.",
"order": 1,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (example: key1=value1&key2=value2&key3=value3).",
"order": 8,
"title": "JDBC URL Params",
"type": "string"
},
"max_db_connections": {
"description": "Maximum number of concurrent queries to the database. Leave empty to let Airbyte optimize performance.",
"order": 13,
"title": "Max Concurrent Queries to Database",
"type": "integer"
},
"password": {
"airbyte_secret": true,
"always_show": true,
"description": "The password associated with the username.",
"order": 5,
"title": "Password",
"type": "string"
},
"port": {
"default": 3306,
"description": "Port of the database.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "Port",
"type": "integer"
},
"replication_method": {
"description": "Configures how data is extracted from the database.",
"display_type": "radio",
"oneOf": [
{
"additionalProperties": true,
"description": "Incrementally detects new inserts and updates using the cursor column chosen when configuring a connection (e.g. created_at, updated_at).",
"properties": {
"method": {
"default": "STANDARD",
"enum": [
"STANDARD"
],
"type": "string"
}
},
"required": [
"method"
],
"title": "Scan Changes with User Defined Cursor",
"type": "object"
},
{
"additionalProperties": true,
"description": "Recommended - Incrementally reads new inserts, updates, and deletes using MySQL's change data capture feature. This must be enabled on your database.",
"properties": {
"initial_load_timeout_hours": {
"always_show": true,
"default": 8,
"description": "The amount of time an initial load is allowed to continue for before catching up on CDC logs.",
"max": 24,
"min": 4,
"order": 3,
"title": "Initial Load Timeout in Hours (Advanced)",
"type": "integer"
},
"invalid_cdc_cursor_position_behavior": {
"always_show": true,
"default": "Fail sync",
"description": "Determines whether Airbyte should fail or re-sync data in case of an stale/invalid cursor value in the mined logs. If 'Fail sync' is chosen, a user will have to manually reset the connection before being able to continue syncing data. If 'Re-sync data' is chosen, Airbyte will automatically trigger a refresh but could lead to higher cloud costs and data loss.",
"enum": [
"Fail sync",
"Re-sync data"
],
"order": 2,
"title": "Invalid CDC Position Behavior (Advanced)",
"type": "string"
},
"method": {
"default": "CDC",
"enum": [
"CDC"
],
"type": "string"
},
"server_timezone": {
"always_show": true,
"description": "Enter the configured MySQL server timezone. This should only be done if the configured timezone in your MySQL instance does not conform to IANNA standard.",
"order": 1,
"title": "Configured server timezone for the MySQL source (Advanced)",
"type": "string"
}
},
"required": [
"method"
],
"title": "Read Changes using Change Data Capture (CDC)",
"type": "object"
}
],
"order": 11,
"title": "Update Method",
"type": "object"
},
"ssl_mode": {
"default": "required",
"description": "The encryption method which is used when communicating with the database.",
"oneOf": [
{
"additionalProperties": true,
"description": "To allow unencrypted communication only when the source doesn't support encryption.",
"properties": {
"mode": {
"default": "preferred",
"enum": [
"preferred"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "preferred",
"type": "object"
},
{
"additionalProperties": true,
"description": "To always require encryption. Note: The connection will fail if the source doesn't support encryption.",
"properties": {
"mode": {
"default": "required",
"enum": [
"required"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "required",
"type": "object"
},
{
"additionalProperties": true,
"description": "To always require encryption and verify that the source has a valid SSL certificate.",
"properties": {
"ca_certificate": {
"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"title": "CA certificate",
"type": "string"
},
"client_certificate": {
"airbyte_secret": true,
"description": "Client certificate (this is not a required field, but if you want to use it, you will need to add the Client key as well)",
"multiline": true,
"title": "Client certificate File",
"type": "string"
},
"client_key": {
"airbyte_secret": true,
"description": "Client key (this is not a required field, but if you want to use it, you will need to add the Client certificate as well)",
"multiline": true,
"title": "Client Key",
"type": "string"
},
"client_key_password": {
"airbyte_secret": true,
"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"multiline": true,
"title": "Client key password",
"type": "string"
},
"mode": {
"default": "verify_ca",
"enum": [
"verify_ca"
],
"type": "string"
}
},
"required": [
"mode",
"ca_certificate"
],
"title": "verify_ca",
"type": "object"
},
{
"additionalProperties": true,
"description": "To always require encryption and verify that the source has a valid SSL certificate.",
"properties": {
"ca_certificate": {
"airbyte_secret": true,
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"description": "The API names of the Netsuite objects you want to sync. Setting this speeds up the connection setup process by limiting the number of schemas that need to be retrieved from Netsuite.",
"examples": [
"customer",
"salesorder",
"etc"
],
"items": {
"type": "string"
},
"order": 5,
"title": "Object Types",
"type": "array"
},
"realm": {
"airbyte_secret": true,
"description": "Netsuite realm e.g. 2344535, as for `production` or 2344535_SB1, as for the `sandbox`",
"order": 0,
"title": "Realm (Account Id)",
"type": "string"
},
"start_datetime": {
"description": "Starting point for your data replication, in format of \"YYYY-MM-DDTHH:mm:ssZ\"",
"examples": [
"2017-01-25T00:00:00Z"
],
"order": 6,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start Date",
"type": "string"
},
"token_key": {
"airbyte_secret": true,
"description": "Access token key",
"order": 3,
"title": "Token Key (Token Id)",
"type": "string"
},
"token_secret": {
"airbyte_secret": true,
"description": "Access token secret",
"order": 4,
"title": "Token Secret",
"type": "string"
},
"window_in_days": {
"default": 30,
"description": "The amount of days used to query the data with date chunks. Set smaller value, if you have lots of data.",
"order": 7,
"title": "Window in Days",
"type": "integer"
}
},
"required": [
"realm",
"consumer_key",
"consumer_secret",
"token_key",
"token_secret",
"start_datetime"
],
"title": "Netsuite Spec",
"type": "object"
},
"documentationUrl": "https://docsurl.com"
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:python",
"cdk:python"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": true,
"ql": 200,
"requireVersionIncrementsInPullRequests": true,
"sl": 0
},
"allowedHosts": {
"hosts": [
"${host}",
"${tunnel_method.tunnel_host}"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/java-connector-base:2.0.1@sha256:ec89bd1a89e825514dd2fc8730ba299a3ae1544580a078df0e35c5202c2085b3"
},
"connectorIPCOptions": {
"dataChannel": {
"supportedSerialization": [
"JSONL",
"PROTOBUF"
],
"supportedTransport": [
"SOCKET",
"STDIO"
],
"version": "0.0.2"
}
},
"connectorTestSuitesOptions": [
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"suite": "acceptanceTests"
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],
"custom": false,
"dockerImageTag": "0.2.7",
"dockerRepository": "airbyte/source-netsuite-enterprise",
"documentationUrl": "https://docs.airbyte.com/integrations/enterprise-connectors/source-netsuite-enterprise",
"externalDocumentationUrls": [
{
"title": "NetSuite Release Notes",
"type": "api_release_history",
"url": "https://docs.oracle.com/en/cloud/saas/netsuite/ns-online-help/book_N3865324.html"
},
{
"title": "Accessing the Connect Service Using a JDBC Driver",
"type": "api_reference",
"url": "https://docs.oracle.com/en/cloud/saas/netsuite/ns-online-help/section_3994742720.html"
},
{
"title": "Connect schema",
"type": "data_model_reference",
"url": "https://docs.oracle.com/en/cloud/saas/netsuite/ns-online-help/section_158695828012.html"
},
{
"title": "Query Language Compliance - SQL Compliance",
"type": "sql_reference",
"url": "https://docs.oracle.com/en/cloud/saas/netsuite/ns-online-help/section_3903316302.html#subsect_163595195498"
}
],
"generated": {
"git": {
"commit_author": "Rodi Reich Zilberman",
"commit_author_email": "rodi@airbyte.io",
"commit_sha": "bb02f659540e3e2ad193b3fda1e28d855ad871dc",
"commit_timestamp": "2026-05-06T15:26:16-07:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-netsuite-enterprise/0.2.7.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-netsuite-enterprise/latest/metadata.yaml",
"metadata_last_modified": "2026-05-06T22:33:50.119393+00:00",
"registry_entry_generated_at": "2026-05-06T22:33:50.119393+00:00"
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},
"githubIssueLabel": "source-netsuite-enterprise",
"icon": "netsuite.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-netsuite-enterprise/latest/icon.svg",
"language": "java",
"license": "Airbyte Enterprise",
"maxSecondsBetweenMessages": 7200,
"name": "Netsuite Enterprise Source",
"packageInfo": {},
"public": true,
"releaseStage": "alpha",
"releases": {},
"sourceDefinitionId": "b979cb59-34b3-4f8b-9bf7-ae82d6371e2a",
"sourceType": "database",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"account_id": {
"description": "The username which is used to access the database.",
"order": 6,
"title": "Account ID",
"type": "string"
},
"authentication_method": {
"description": "Configure how to authenticate to Netsuite. Options include username/password or token-based authentication.",
"oneOf": [
{
"additionalProperties": true,
"description": "Authenticate using a password.",
"properties": {
"authentication_method": {
"default": "password_authentication",
"enum": [
"password_authentication"
],
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "The password associated with the username.",
"order": 1,
"title": "Password",
"type": "string"
}
},
"required": [
"authentication_method",
"password"
],
"title": "Password Authentication",
"type": "object"
},
{
"additionalProperties": true,
"description": "Authenticate using a token-based authentication method. This requires a consumer key and secret, as well as a token ID and secret.",
"properties": {
"authentication_method": {
"default": "token_based_authentication",
"enum": [
"token_based_authentication"
],
"type": "string"
},
"client_id": {
"description": "The consumer key used for token-based authentication. This is generated in NetSuite when creating an integration record.",
"order": 1,
"title": "Consumer Key",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The consumer secret used for token-based authentication. This is generated in NetSuite when creating an integration record.",
"order": 2,
"title": "Consumer Secret",
"type": "string"
},
"token_id": {
"description": "The token ID used for token-based authentication. This is generated in NetSuite when creating a token-based role.",
"order": 3,
"title": "Token ID",
"type": "string"
},
"token_secret": {
"airbyte_secret": true,
"description": "The token secret used for token-based authentication. This is generated in NetSuite when creating a token-based role.Ensure to keep this value secure.",
"order": 4,
"title": "Token Secret",
"type": "string"
}
},
"required": [
"authentication_method",
"client_id",
"client_secret",
"token_id",
"token_secret"
],
"title": "Token Based Authentication",
"type": "object"
},
{
"additionalProperties": true,
"description": "Authenticate using OAuth2. This requires a consumer key, the private part of the certificate with which netsuite OAuth2 Client Credentials was setup and the certificate ID for the OAuth2 setup entry. ",
"properties": {
"authentication_method": {
"default": "oauth2_authentication",
"enum": [
"oauth2_authentication"
],
"type": "string"
},
"client_id": {
"description": "The consumer key used for OAuth2 authentication. This is generated in NetSuite when creating an integration record.",
"order": 1,
"title": "Consumer Key",
"type": "string"
},
"key_id": {
"description": "The certificate ID for the OAuth 2.0 Client Credentials Setup entry.",
"order": 2,
"title": "Certificate ID",
"type": "string"
},
"oauth2_private_key": {
"airbyte_secret": true,
"description": "The private portion of the certificate with which OAuth2 was setup. ( created with openssl req -new -x509 -newkey rsa:4096 -keyout private.pem -sigopt rsa_padding_mode:pss -sha256 -sigopt rsa_pss_saltlen:64 -out public.pem -nodes -days 365 )",
"multiline": true,
"order": 3,
"title": "OAuth2 Private Key",
"type": "string"
}
},
"required": [
"authentication_method",
"client_id",
"key_id",
"oauth2_private_key"
],
"title": "OAuth2 Authentication",
"type": "object"
}
],
"order": 5,
"title": "Authentication Method",
"type": "object"
},
"check_privileges": {
"default": true,
"description": "When this feature is enabled, during schema discovery the connector will query each table or view individually to check access privileges and inaccessible tables, views, or columns therein will be removed. In large schemas, this might cause schema discovery to take too long, in which case it might be advisable to disable this feature.",
"order": 13,
"title": "Check Table and Column Access Privileges",
"type": "boolean"
},
"checkpoint_target_interval_seconds": {
"default": 300,
"description": "How often (in seconds) a stream should checkpoint, when possible.",
"order": 11,
"title": "Checkpoint Target Time Interval",
"type": "integer"
},
"concurrency": {
"default": 1,
"description": "Maximum number of concurrent queries to the database.",
"order": 12,
"title": "Concurrency",
"type": "integer"
},
"cursor": {
"description": "Configures how data is extracted from the database.",
"display_type": "radio",
"oneOf": [
{
"additionalProperties": true,
"description": "Incrementally detects new inserts and updates using the cursor column chosen when configuring a connection (e.g. created_at, updated_at).",
"properties": {
"cursor_method": {
"default": "user_defined",
"enum": [
"user_defined"
],
"type": "string"
}
},
"required": [
"cursor_method"
],
"title": "Scan Changes with User Defined Cursor",
"type": "object"
}
],
"order": 10,
"title": "Update Method",
"type": "object"
},
"host": {
"description": "Hostname of the database.",
"order": 1,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (example: key1=value1&key2=value2&key3=value3).",
"order": 8,
"title": "JDBC URL Params",
"type": "string"
},
"port": {
"default": 1708,
"description": "Port of the database.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "Port",
"type": "integer"
},
"role_id": {
"description": "The username which is used to access the database.",
"order": 7,
"title": "Role Id",
"type": "string"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"oneOf": [
{
"additionalProperties": true,
"description": "No ssh tunnel needed to connect to database",
"properties": {
"tunnel_method": {
"default": "NO_TUNNEL",
"enum": [
"NO_TUNNEL"
],
"type": "string"
}
},
"required": [
"tunnel_method"
],
"title": "No Tunnel",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and ssh key",
"properties": {
"ssh_key": {
"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_KEY_AUTH",
"enum": [
"SSH_KEY_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"ssh_key"
],
"title": "SSH Key Authentication",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and password authentication",
"properties": {
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_PASSWORD_AUTH",
"enum": [
"SSH_PASSWORD_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
},
"tunnel_user_password": {
"airbyte_secret": true,
"description": "OS-level password for logging into the jump server host",
"order": 4,
"title": "Password",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"tunnel_user_password"
],
"title": "Password Authentication",
"type": "object"
}
],
"order": 9,
"title": "SSH Tunnel Method",
"type": "object"
},
"username": {
"description": "The username which is used to access the database.",
"order": 4,
"title": "User",
"type": "string"
}
},
"required": [
"host",
"port",
"username",
"authentication_method",
"tunnel_method",
"cursor",
"account_id",
"role_id"
],
"title": "Netsuite Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/enterprise-connectors/source-netsuite-enterprise",
"supported_destination_sync_modes": [],
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:java"
],
"tombstone": false
},
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"ql": 100,
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"connectorBuildOptions": {
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"custom": false,
"dockerImageTag": "0.2.23",
"dockerRepository": "airbyte/source-news-api",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/news-api",
"externalDocumentationUrls": [
{
"title": "News API documentation",
"type": "api_reference",
"url": "https://newsapi.org/docs"
}
],
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"commit_timestamp": "2025-11-18T18:09:21-08:00"
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"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-news-api/0.2.23.spdx.json",
"source_file_info": {
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},
"githubIssueLabel": "source-news-api",
"icon": "newsapi.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-news-api/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"name": "News Api",
"packageInfo": {},
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"releaseDate": "2022-10-21",
"releaseStage": "alpha",
"releases": {},
"remoteRegistries": {
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"packageName": "airbyte-source-news-api"
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},
"sourceDefinitionId": "df38991e-f35b-4af2-996d-36817f614587",
"sourceType": "api",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"api_key": {
"airbyte_secret": true,
"description": "API Key",
"order": 0,
"title": "API Key",
"type": "string"
},
"category": {
"default": "business",
"description": "The category you want to get top headlines for.",
"enum": [
"business",
"entertainment",
"general",
"health",
"science",
"sports",
"technology"
],
"order": 10,
"type": "string"
},
"country": {
"default": "us",
"description": "The 2-letter ISO 3166-1 code of the country you want to get headlines\nfor. You can't mix this with the sources parameter.\n",
"enum": [
"ae",
"ar",
"at",
"au",
"be",
"bg",
"br",
"ca",
"ch",
"cn",
"co",
"cu",
"cz",
"de",
"eg",
"fr",
"gb",
"gr",
"hk",
"hu",
"id",
"ie",
"il",
"in",
"it",
"jp",
"kr",
"lt",
"lv",
"ma",
"mx",
"my",
"ng",
"nl",
"no",
"nz",
"ph",
"pl",
"pt",
"ro",
"rs",
"ru",
"sa",
"se",
"sg",
"si",
"sk",
"th",
"tr",
"tw",
"ua",
"us",
"ve",
"za"
],
"order": 9,
"type": "string"
},
"domains": {
"description": "A comma-seperated string of domains (eg bbc.co.uk, techcrunch.com,\nengadget.com) to restrict the search to.\n",
"items": {
"type": "string"
},
"order": 4,
"type": "array"
},
"end_date": {
"description": "A date and optional time for the newest article allowed. This should\nbe in ISO 8601 format.\n",
"examples": [
"2021-01-01",
"2021-01-01T12:00:00"
],
"order": 7,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}(T[0-9]{2}:[0-9]{2}:[0-9]{2})?$",
"type": "string"
},
"exclude_domains": {
"description": "A comma-seperated string of domains (eg bbc.co.uk, techcrunch.com,\nengadget.com) to remove from the results.\n",
"items": {
"type": "string"
},
"order": 5,
"type": "array"
},
"language": {
"description": "The 2-letter ISO-639-1 code of the language you want to get headlines\nfor. Possible options: ar de en es fr he it nl no pt ru se ud zh.\n",
"enum": [
"ar",
"de",
"en",
"es",
"fr",
"he",
"it",
"nl",
"no",
"pt",
"ru",
"se",
"ud",
"zh"
],
"order": 8,
"type": "string"
},
"search_in": {
"description": "Where to apply search query. Possible values are: title, description,\ncontent.\n",
"items": {
"enum": [
"title",
"description",
"content"
],
"type": "string"
},
"order": 2,
"type": "array"
},
"search_query": {
"description": "Search query. See https://newsapi.org/docs/endpoints/everything for \ninformation.\n",
"examples": [
"+bitcoin OR +crypto",
"sunak AND (truss OR johnson)"
],
"order": 1,
"type": "string"
},
"sort_by": {
"default": "publishedAt",
"description": "The order to sort the articles in. Possible options: relevancy,\npopularity, publishedAt.\n",
"enum": [
"relevancy",
"popularity",
"publishedAt"
],
"order": 11,
"type": "string"
},
"sources": {
"description": "Identifiers (maximum 20) for the news sources or blogs you want\nheadlines from. Use the `/sources` endpoint to locate these\nprogrammatically or look at the sources index:\nhttps://newsapi.com/sources. Will override both country and category.\n",
"items": {
"type": "string"
},
"order": 3,
"type": "array"
},
"start_date": {
"description": "A date and optional time for the oldest article allowed. This should\nbe in ISO 8601 format.\n",
"examples": [
"2021-01-01",
"2021-01-01T12:00:00"
],
"order": 6,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}(T[0-9]{2}:[0-9]{2}:[0-9]{2})?$",
"type": "string"
}
},
"required": [
"api_key",
"country",
"category",
"sort_by"
],
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"cdk:low-code",
"language:manifest-only"
],
"tombstone": false
},
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"ab_internal": {
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"ql": 100,
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"suite": "acceptanceTests",
"testSecrets": [
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"fileName": "config.json",
"name": "SECRET_SOURCE-NEWSDATA__CREDS",
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"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "0.2.27",
"dockerRepository": "airbyte/source-newsdata",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/newsdata",
"externalDocumentationUrls": [
{
"title": "NewsData.io API documentation",
"type": "api_reference",
"url": "https://newsdata.io/documentation"
}
],
"generated": {
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"commit_author_email": "230633153+octavia-bot-hoard[bot]@users.noreply.github.com",
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"title": "Encryption",
"type": "object"
},
"host": {
"description": "Hostname of the database.",
"order": 1,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (example: key1=value1&key2=value2&key3=value3).",
"order": 7,
"title": "JDBC URL Params",
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "The password associated with the username.",
"order": 5,
"title": "Password",
"type": "string"
},
"port": {
"default": 1521,
"description": "Port of the database.\nOracle Corporations recommends the following port numbers:\n1521 - Default listening port for client connections to the listener. \n2484 - Recommended and officially registered listening port for client connections to the listener using TCP/IP with SSL",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "Port",
"type": "integer"
},
"schemas": {
"description": "The list of schemas to sync from. Defaults to user. Case sensitive.",
"items": {
"type": "string"
},
"minItems": 1,
"order": 6,
"title": "Schemas",
"type": "array",
"uniqueItems": true
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"oneOf": [
{
"properties": {
"tunnel_method": {
"const": "NO_TUNNEL",
"description": "No ssh tunnel needed to connect to database",
"order": 0,
"type": "string"
}
},
"required": [
"tunnel_method"
],
"title": "No Tunnel"
},
{
"properties": {
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"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"const": "SSH_KEY_AUTH",
"description": "Connect through a jump server tunnel host using username and ssh key",
"order": 0,
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"examples": [
"22"
],
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host.",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
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"tunnel_host",
"tunnel_port",
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{
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"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
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"description": "Connect through a jump server tunnel host using username and password authentication",
"order": 0,
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"order": 2,
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"description": "The username which is used to access the database.",
"order": 4,
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"properties": {
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"additionalProperties": {
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"properties": {},
"type": "object"
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"type": "integer"
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"default": 1,
"description": "Maximum number of concurrent queries to the database.",
"order": 13,
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"type": "integer"
},
"connection_data": {
"description": "The scheme by which to establish a database connection.",
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],
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"display_type": "radio",
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"enum": [
"cdc"
],
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"default": 60,
"description": "The amount of time to allow the Debezium Engine to shut down, in seconds.",
"max": 3600,
"min": 1,
"order": 3,
"title": "Debezium Engine Shutdown Timeout in Seconds (Advanced)",
"type": "integer"
},
"initial_load_timeout_hours": {
"always_show": true,
"default": 8,
"description": "The amount of time an initial load is allowed to continue for before catching up on CDC events.",
"max": 24,
"min": 4,
"order": 2,
"title": "Initial Load Timeout in Hours (Advanced)",
"type": "integer"
},
"invalid_cdc_cursor_position_behavior": {
"always_show": true,
"default": "Fail sync",
"description": "Determines whether Airbyte should fail or re-sync data in case of an stale/invalid cursor value in the mined logs. If 'Fail sync' is chosen, a user will have to manually reset the connection before being able to continue syncing data. If 'Re-sync data' is chosen, Airbyte will automatically trigger a refresh but could lead to higher cloud costs and data loss.",
"enum": [
"Fail sync",
"Re-sync data"
],
"order": 1,
"title": "Invalid CDC Position Behavior (Advanced)",
"type": "string"
}
},
"required": [
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],
"title": "Read Changes using Change Data Capture (CDC)",
"type": "object"
}
],
"order": 11,
"title": "Update Method",
"type": "object"
},
"encryption": {
"description": "The encryption method with is used when communicating with the database.",
"oneOf": [
{
"additionalProperties": true,
"description": "Data transfer will not be encrypted.",
"properties": {
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"default": "unencrypted",
"enum": [
"unencrypted"
],
"type": "string"
}
},
"required": [
"encryption_method"
],
"title": "Unencrypted",
"type": "object"
},
{
"additionalProperties": true,
"description": "The native network encryption gives you the ability to encrypt database connections, without the configuration overhead of TCP/IP and SSL/TLS and without the need to open and listen on different ports.",
"properties": {
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"description": "This parameter defines what encryption algorithm is used.",
"enum": [
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"AES192",
"AES128",
"3DES168",
"3DES112",
"DES"
],
"title": "Encryption Algorithm",
"type": "string"
},
"encryption_method": {
"default": "client_nne",
"enum": [
"client_nne"
],
"type": "string"
}
},
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"encryption_algorithm"
],
"title": "Native Network Encryption (NNE)",
"type": "object"
},
{
"additionalProperties": true,
"description": "Verify and use the certificate provided by the server.",
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"enum": [
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],
"type": "string"
},
"ssl_certificate": {
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"description": "Privacy Enhanced Mail (PEM) files are concatenated certificate containers frequently used in certificate installations.",
"multiline": true,
"title": "SSL PEM File",
"type": "string"
}
},
"required": [
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"ssl_certificate"
],
"title": "TLS Encrypted (verify certificate)",
"type": "object"
}
],
"order": 9,
"title": "Encryption",
"type": "object"
},
"host": {
"description": "Hostname of the database.",
"order": 1,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (example: key1=value1&key2=value2&key3=value3).",
"order": 8,
"title": "JDBC URL Params",
"type": "string"
},
"max_db_connections": {
"description": "Maximum number of concurrent queries to the database. Leave empty to let Airbyte optimize performance.",
"order": 13,
"title": "Max Concurrent Queries to Database",
"type": "integer"
},
"password": {
"airbyte_secret": true,
"always_show": true,
"description": "The password associated with the username.",
"order": 5,
"title": "Password",
"type": "string"
},
"port": {
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"description": "Port of the database.\nOracle Corporations recommends the following port numbers:\n1521 - Default listening port for client connections to the listener. \n2484 - Recommended and officially registered listening port for client connections to the listener using TCP/IP with SSL.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "Port",
"type": "integer"
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"schemas": {
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"items": {
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"order": 6,
"title": "Schemas",
"type": "array",
"uniqueItems": true
},
"table_filters": {
"description": "Inclusion filters for table selection per schema. If no filters are specified for a schema, all tables in that schema will be synced.",
"items": {
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"description": "Inclusion filter configuration for table selection per schema.",
"properties": {
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"always_show": true,
"description": "The name of the schema to apply this filter to. Should match a schema defined in \"Schemas\" field above.",
"order": 1,
"title": "Schema Name",
"type": "string"
},
"table_name_patterns": {
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"description": "List of table name patterns to include from this schema. Should be a SQL LIKE pattern.",
"items": {
"type": "string"
},
"order": 2,
"title": "Table Filter Patterns",
"type": "array"
}
},
"required": [
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"table_name_patterns"
],
"title": "Table Filter",
"type": "object"
},
"order": 7,
"title": "Table Name Filters",
"type": "array"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"oneOf": [
{
"additionalProperties": true,
"description": "No ssh tunnel needed to connect to database",
"properties": {
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"enum": [
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"type": "string"
}
},
"required": [
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"title": "No Tunnel",
"type": "object"
},
{
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"description": "Connect through a jump server tunnel host using username and ssh key",
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"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
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"order": 4,
"title": "SSH Private Key",
"type": "string"
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"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
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"enum": [
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"type": "string"
},
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"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
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},
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"title": "Password Authentication",
"type": "object"
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],
"order": 10,
"title": "SSH Tunnel Method",
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"order": 4,
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{
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{
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],
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"examples": [
"1234567890"
],
"title": "Account ID",
"type": "string"
},
"credentials": {
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"auth_method": {
"const": "oauth2.0",
"order": 0,
"type": "string"
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"description": "The Client ID of your OAuth application",
"title": "Client ID",
"type": "string"
},
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"description": "The Client Secret of your OAuth application.",
"title": "Client Secret",
"type": "string"
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"description": "Refresh Token to obtain new Access Token, when it's expired.",
"title": "Refresh Token",
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"properties": {
"attribution_types": {
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"HOUSEHOLD"
],
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"HOUSEHOLD"
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"enum": [
0,
1,
7,
14,
30,
60
],
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"title": "Click window days",
"type": "integer"
},
"columns": {
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"items": {
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"enum": [
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"AD_ACCOUNT_ID",
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"AD_GROUP_ID",
"AD_ID",
"CAMPAIGN_DAILY_SPEND_CAP",
"CAMPAIGN_ENTITY_STATUS",
"CAMPAIGN_ID",
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"CAMPAIGN_NAME",
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"CLICKTHROUGH_1",
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"CPM_IN_DOLLAR",
"CPM_IN_MICRO_DOLLAR",
"CTR",
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"ECPCV_IN_DOLLAR",
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"ECPM_IN_MICRO_DOLLAR",
"ECPV_IN_DOLLAR",
"ECTR",
"EENGAGEMENT_RATE",
"ENGAGEMENT_1",
"ENGAGEMENT_2",
"ENGAGEMENT_RATE",
"IDEA_PIN_PRODUCT_TAG_VISIT_1",
"IDEA_PIN_PRODUCT_TAG_VISIT_2",
"IMPRESSION_1",
"IMPRESSION_1_GROSS",
"IMPRESSION_2",
"INAPP_CHECKOUT_COST_PER_ACTION",
"OUTBOUND_CLICK_1",
"OUTBOUND_CLICK_2",
"PAGE_VISIT_COST_PER_ACTION",
"PAGE_VISIT_ROAS",
"PAID_IMPRESSION",
"PIN_ID",
"PIN_PROMOTION_ID",
"REPIN_1",
"REPIN_2",
"REPIN_RATE",
"SPEND_IN_DOLLAR",
"SPEND_IN_MICRO_DOLLAR",
"TOTAL_CHECKOUT",
"TOTAL_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_CLICKTHROUGH",
"TOTAL_CLICK_ADD_TO_CART",
"TOTAL_CLICK_CHECKOUT",
"TOTAL_CLICK_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_CLICK_LEAD",
"TOTAL_CLICK_SIGNUP",
"TOTAL_CLICK_SIGNUP_VALUE_IN_MICRO_DOLLAR",
"TOTAL_CONVERSIONS",
"TOTAL_CUSTOM",
"TOTAL_ENGAGEMENT",
"TOTAL_ENGAGEMENT_CHECKOUT",
"TOTAL_ENGAGEMENT_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_ENGAGEMENT_LEAD",
"TOTAL_ENGAGEMENT_SIGNUP",
"TOTAL_ENGAGEMENT_SIGNUP_VALUE_IN_MICRO_DOLLAR",
"TOTAL_IDEA_PIN_PRODUCT_TAG_VISIT",
"TOTAL_IMPRESSION_FREQUENCY",
"TOTAL_IMPRESSION_USER",
"TOTAL_LEAD",
"TOTAL_OFFLINE_CHECKOUT",
"TOTAL_PAGE_VISIT",
"TOTAL_REPIN_RATE",
"TOTAL_SIGNUP",
"TOTAL_SIGNUP_VALUE_IN_MICRO_DOLLAR",
"TOTAL_VIDEO_3SEC_VIEWS",
"TOTAL_VIDEO_AVG_WATCHTIME_IN_SECOND",
"TOTAL_VIDEO_MRC_VIEWS",
"TOTAL_VIDEO_P0_COMBINED",
"TOTAL_VIDEO_P100_COMPLETE",
"TOTAL_VIDEO_P25_COMBINED",
"TOTAL_VIDEO_P50_COMBINED",
"TOTAL_VIDEO_P75_COMBINED",
"TOTAL_VIDEO_P95_COMBINED",
"TOTAL_VIEW_ADD_TO_CART",
"TOTAL_VIEW_CHECKOUT",
"TOTAL_VIEW_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_VIEW_LEAD",
"TOTAL_VIEW_SIGNUP",
"TOTAL_VIEW_SIGNUP_VALUE_IN_MICRO_DOLLAR",
"TOTAL_WEB_CHECKOUT",
"TOTAL_WEB_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_WEB_CLICK_CHECKOUT",
"TOTAL_WEB_CLICK_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_WEB_ENGAGEMENT_CHECKOUT",
"TOTAL_WEB_ENGAGEMENT_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_WEB_SESSIONS",
"TOTAL_WEB_VIEW_CHECKOUT",
"TOTAL_WEB_VIEW_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"VIDEO_3SEC_VIEWS_2",
"VIDEO_LENGTH",
"VIDEO_MRC_VIEWS_2",
"VIDEO_P0_COMBINED_2",
"VIDEO_P100_COMPLETE_2",
"VIDEO_P25_COMBINED_2",
"VIDEO_P50_COMBINED_2",
"VIDEO_P75_COMBINED_2",
"VIDEO_P95_COMBINED_2",
"WEB_CHECKOUT_COST_PER_ACTION",
"WEB_CHECKOUT_ROAS",
"WEB_SESSIONS_1",
"WEB_SESSIONS_2"
],
"title": "ValidEnums"
},
"order": 3,
"title": "Columns",
"type": "array"
},
"conversion_report_time": {
"default": "TIME_OF_AD_ACTION",
"description": "The date by which the conversion metrics returned from this endpoint will be reported. There are two dates associated with a conversion event: the date that the user interacted with the ad, and the date that the user completed a conversion event..",
"enum": [
"TIME_OF_AD_ACTION",
"TIME_OF_CONVERSION"
],
"order": 7,
"title": "Conversion report time",
"type": "string"
},
"engagement_window_days": {
"default": [
30
],
"description": "Number of days to use as the conversion attribution window for an engagement action.",
"enum": [
0,
1,
7,
14,
30,
60
],
"order": 5,
"title": "Engagement window days",
"type": "integer"
},
"granularity": {
"default": "TOTAL",
"description": "Chosen granularity for API",
"enum": [
"TOTAL",
"DAY",
"HOUR",
"WEEK",
"MONTH"
],
"order": 2,
"title": "Granularity",
"type": "string"
},
"level": {
"default": "ADVERTISER",
"description": "Chosen level for API",
"enum": [
"ADVERTISER",
"ADVERTISER_TARGETING",
"CAMPAIGN",
"CAMPAIGN_TARGETING",
"AD_GROUP",
"AD_GROUP_TARGETING",
"PIN_PROMOTION",
"PIN_PROMOTION_TARGETING",
"KEYWORD",
"PRODUCT_GROUP",
"PRODUCT_GROUP_TARGETING",
"PRODUCT_ITEM"
],
"order": 1,
"title": "Level",
"type": "string"
},
"name": {
"description": "The name value of report",
"order": 0,
"title": "Name",
"type": "string"
},
"start_date": {
"description": "A date in the format YYYY-MM-DD. If you have not set a date, it would be defaulted to latest allowed date by report api (913 days from today).",
"examples": [
"2022-07-28"
],
"format": "date",
"order": 9,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
},
"view_window_days": {
"default": [
30
],
"description": "Number of days to use as the conversion attribution window for a view action.",
"enum": [
0,
1,
7,
14,
30,
60
],
"order": 6,
"title": "View window days",
"type": "integer"
}
},
"required": [
"name",
"level",
"granularity",
"columns"
],
"title": "ReportConfig",
"type": "object"
},
"title": "Custom Reports",
"type": "array"
},
"num_threads": {
"default": 2,
"description": "The number of parallel threads to use for the sync.",
"examples": [
1,
2,
3
],
"maximum": 40,
"minimum": 1,
"order": 10,
"title": "Number of concurrent threads",
"type": "integer"
},
"start_date": {
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"examples": [
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],
"format": "date",
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
},
"status": {
"description": "For the ads, ad_groups, and campaigns streams, specifying a status will filter out records that do not match the specified ones. If a status is not specified, the source will default to records with a status of either ACTIVE or PAUSED.",
"items": {
"enum": [
"ACTIVE",
"PAUSED",
"ARCHIVED"
],
"type": "string"
},
"title": "Status",
"type": [
"array",
"null"
],
"uniqueItems": true
}
},
"title": "Pinterest Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/pinterest",
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
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"ad_account_analytics",
"ad_analytics",
"campaigns",
"ad_accounts",
"ads",
"user_account_analytics",
"ad_group_analytics",
"ad_groups"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
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"tombstone": false
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},
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"sourceType": "api",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_method"
],
"predicate_value": "oauth2.0"
},
"connectionSpecification": {
"$schema": "https://json-schema.org/draft-07/schema#",
"additionalProperties": true,
"properties": {
"account_id": {
"description": "The Pinterest account ID you want to fetch data for. This ID must be provided to filter the data for a specific account.",
"examples": [
"1234567890"
],
"maxLength": 18,
"title": "Account ID",
"type": "string"
},
"credentials": {
"properties": {
"auth_method": {
"const": "oauth2.0",
"order": 0,
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "The Client ID of your OAuth application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "The Client Secret of your OAuth application.",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token to obtain new Access Token, when it's expired.",
"title": "Refresh Token",
"type": "string"
}
},
"required": [
"auth_method",
"refresh_token",
"client_id",
"client_secret"
],
"title": "OAuth2.0",
"type": "object"
},
"custom_reports": {
"description": "A list which contains ad statistics entries, each entry must have a name and can contains fields, breakdowns or action_breakdowns. Click on \"add\" to fill this field.",
"items": {
"description": "Config for custom report",
"properties": {
"attribution_types": {
"default": [
"INDIVIDUAL",
"HOUSEHOLD"
],
"description": "List of types of attribution for the conversion report",
"items": {
"description": "An enumeration.",
"enum": [
"INDIVIDUAL",
"HOUSEHOLD"
],
"title": "ValidEnums"
},
"order": 8,
"title": "Attribution types",
"type": "array"
},
"click_window_days": {
"default": 30,
"description": "Number of days to use as the conversion attribution window for a pin click action.",
"enum": [
0,
1,
7,
14,
30,
60
],
"order": 4,
"title": "Click window days",
"type": "integer"
},
"columns": {
"default": [],
"description": "A list of chosen columns",
"items": {
"description": "An enumeration.",
"enum": [
"ADVERTISER_ID",
"AD_ACCOUNT_ID",
"AD_GROUP_ENTITY_STATUS",
"AD_GROUP_ID",
"AD_ID",
"CAMPAIGN_DAILY_SPEND_CAP",
"CAMPAIGN_ENTITY_STATUS",
"CAMPAIGN_ID",
"CAMPAIGN_LIFETIME_SPEND_CAP",
"CAMPAIGN_NAME",
"CHECKOUT_ROAS",
"CLICKTHROUGH_1",
"CLICKTHROUGH_1_GROSS",
"CLICKTHROUGH_2",
"CPC_IN_MICRO_DOLLAR",
"CPM_IN_DOLLAR",
"CPM_IN_MICRO_DOLLAR",
"CTR",
"CTR_2",
"ECPCV_IN_DOLLAR",
"ECPCV_P95_IN_DOLLAR",
"ECPC_IN_DOLLAR",
"ECPC_IN_MICRO_DOLLAR",
"ECPE_IN_DOLLAR",
"ECPM_IN_MICRO_DOLLAR",
"ECPV_IN_DOLLAR",
"ECTR",
"EENGAGEMENT_RATE",
"ENGAGEMENT_1",
"ENGAGEMENT_2",
"ENGAGEMENT_RATE",
"IDEA_PIN_PRODUCT_TAG_VISIT_1",
"IDEA_PIN_PRODUCT_TAG_VISIT_2",
"IMPRESSION_1",
"IMPRESSION_1_GROSS",
"IMPRESSION_2",
"INAPP_CHECKOUT_COST_PER_ACTION",
"OUTBOUND_CLICK_1",
"OUTBOUND_CLICK_2",
"PAGE_VISIT_COST_PER_ACTION",
"PAGE_VISIT_ROAS",
"PAID_IMPRESSION",
"PIN_ID",
"PIN_PROMOTION_ID",
"REPIN_1",
"REPIN_2",
"REPIN_RATE",
"SPEND_IN_DOLLAR",
"SPEND_IN_MICRO_DOLLAR",
"TOTAL_CHECKOUT",
"TOTAL_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_CLICKTHROUGH",
"TOTAL_CLICK_ADD_TO_CART",
"TOTAL_CLICK_CHECKOUT",
"TOTAL_CLICK_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_CLICK_LEAD",
"TOTAL_CLICK_SIGNUP",
"TOTAL_CLICK_SIGNUP_VALUE_IN_MICRO_DOLLAR",
"TOTAL_CONVERSIONS",
"TOTAL_CUSTOM",
"TOTAL_ENGAGEMENT",
"TOTAL_ENGAGEMENT_CHECKOUT",
"TOTAL_ENGAGEMENT_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_ENGAGEMENT_LEAD",
"TOTAL_ENGAGEMENT_SIGNUP",
"TOTAL_ENGAGEMENT_SIGNUP_VALUE_IN_MICRO_DOLLAR",
"TOTAL_IDEA_PIN_PRODUCT_TAG_VISIT",
"TOTAL_IMPRESSION",
"TOTAL_IMPRESSION_FREQUENCY",
"TOTAL_IMPRESSION_USER",
"TOTAL_LEAD",
"TOTAL_OFFLINE_CHECKOUT",
"TOTAL_PAGE_VISIT",
"TOTAL_REPIN_RATE",
"TOTAL_SIGNUP",
"TOTAL_SIGNUP_VALUE_IN_MICRO_DOLLAR",
"TOTAL_VIDEO_3SEC_VIEWS",
"TOTAL_VIDEO_AVG_WATCHTIME_IN_SECOND",
"TOTAL_VIDEO_MRC_VIEWS",
"TOTAL_VIDEO_P0_COMBINED",
"TOTAL_VIDEO_P100_COMPLETE",
"TOTAL_VIDEO_P25_COMBINED",
"TOTAL_VIDEO_P50_COMBINED",
"TOTAL_VIDEO_P75_COMBINED",
"TOTAL_VIDEO_P95_COMBINED",
"TOTAL_VIEW_ADD_TO_CART",
"TOTAL_VIEW_CHECKOUT",
"TOTAL_VIEW_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_VIEW_LEAD",
"TOTAL_VIEW_SIGNUP",
"TOTAL_VIEW_SIGNUP_VALUE_IN_MICRO_DOLLAR",
"TOTAL_WEB_CHECKOUT",
"TOTAL_WEB_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_WEB_CLICK_CHECKOUT",
"TOTAL_WEB_CLICK_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_WEB_ENGAGEMENT_CHECKOUT",
"TOTAL_WEB_ENGAGEMENT_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"TOTAL_WEB_SESSIONS",
"TOTAL_WEB_VIEW_CHECKOUT",
"TOTAL_WEB_VIEW_CHECKOUT_VALUE_IN_MICRO_DOLLAR",
"VIDEO_3SEC_VIEWS_2",
"VIDEO_LENGTH",
"VIDEO_MRC_VIEWS_2",
"VIDEO_P0_COMBINED_2",
"VIDEO_P100_COMPLETE_2",
"VIDEO_P25_COMBINED_2",
"VIDEO_P50_COMBINED_2",
"VIDEO_P75_COMBINED_2",
"VIDEO_P95_COMBINED_2",
"WEB_CHECKOUT_COST_PER_ACTION",
"WEB_CHECKOUT_ROAS",
"WEB_SESSIONS_1",
"WEB_SESSIONS_2"
],
"title": "ValidEnums"
},
"order": 3,
"title": "Columns",
"type": "array"
},
"conversion_report_time": {
"default": "TIME_OF_AD_ACTION",
"description": "The date by which the conversion metrics returned from this endpoint will be reported. There are two dates associated with a conversion event: the date that the user interacted with the ad, and the date that the user completed a conversion event..",
"enum": [
"TIME_OF_AD_ACTION",
"TIME_OF_CONVERSION"
],
"order": 7,
"title": "Conversion report time",
"type": "string"
},
"engagement_window_days": {
"default": 30,
"description": "Number of days to use as the conversion attribution window for an engagement action.",
"enum": [
0,
1,
7,
14,
30,
60
],
"order": 5,
"title": "Engagement window days",
"type": "integer"
},
"granularity": {
"default": "TOTAL",
"description": "Chosen granularity for API",
"enum": [
"TOTAL",
"DAY",
"HOUR",
"WEEK",
"MONTH"
],
"order": 2,
"title": "Granularity",
"type": "string"
},
"level": {
"default": "ADVERTISER",
"description": "Chosen level for API",
"enum": [
"ADVERTISER",
"ADVERTISER_TARGETING",
"CAMPAIGN",
"CAMPAIGN_TARGETING",
"AD_GROUP",
"AD_GROUP_TARGETING",
"PIN_PROMOTION",
"PIN_PROMOTION_TARGETING",
"KEYWORD",
"PRODUCT_GROUP",
"PRODUCT_GROUP_TARGETING",
"PRODUCT_ITEM"
],
"order": 1,
"title": "Level",
"type": "string"
},
"name": {
"description": "The name value of report",
"order": 0,
"title": "Name",
"type": "string"
},
"start_date": {
"description": "A date in the format YYYY-MM-DD. If you have not set a date, it would be defaulted to latest allowed date by report api (913 days from today).",
"examples": [
"2022-07-28"
],
"format": "date",
"order": 9,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
},
"view_window_days": {
"default": 30,
"description": "Number of days to use as the conversion attribution window for a view action.",
"enum": [
0,
1,
7,
14,
30,
60
],
"order": 6,
"title": "View window days",
"type": "integer"
}
},
"required": [
"name",
"level",
"granularity",
"columns"
],
"title": "ReportConfig",
"type": "object"
},
"title": "Custom Reports",
"type": "array"
},
"num_threads": {
"default": 2,
"description": "The number of parallel threads to use for the sync.",
"examples": [
1,
2,
3
],
"maximum": 40,
"minimum": 1,
"order": 10,
"title": "Number of concurrent threads",
"type": "integer"
},
"start_date": {
"description": "A date in the format YYYY-MM-DD. If you have not set a date, it would be defaulted to latest allowed date by api (89 days from today).",
"examples": [
"2022-07-28"
],
"format": "date",
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
"pattern_descriptor": "YYYY-MM-DD",
"title": "Start Date",
"type": "string"
},
"status": {
"description": "For the ads, ad_groups, and campaigns streams, specifying a status will filter out records that do not match the specified ones. If a status is not specified, the source will default to records with a status of either ACTIVE or PAUSED.",
"items": {
"enum": [
"ACTIVE",
"PAUSED",
"ARCHIVED"
],
"type": "string"
},
"title": "Status",
"type": [
"array",
"null"
],
"uniqueItems": true
}
},
"title": "Pinterest Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/pinterest",
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
"streams": [
"campaign_analytics",
"ad_account_analytics",
"ad_analytics",
"campaigns",
"ad_accounts",
"ads",
"user_account_analytics",
"ad_group_analytics",
"ad_groups"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:manifest-only",
"cdk:low-code"
],
"tombstone": false
},
{
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"ql": 300,
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"sl": 100
},
"allowedHosts": {
"hosts": [
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},
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{
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"title": "Azure Entra Client Id",
"type": "string"
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"description": "Interpret password as a client secret for a Microsoft Entra service principal",
"group": "auth",
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"title": "Azure Entra Service Principal Authentication",
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"entra_tenant_id": {
"description": "If using Entra service principal, the ID of the tenant",
"group": "auth",
"order": 7,
"title": "Azure Entra Tenant Id",
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"host": {
"description": "Hostname of the database.",
"group": "db",
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"jdbc_url_params": {
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"group": "advanced",
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"description": "Maximum number of concurrent queries to the database. Leave empty to let Airbyte optimize performance.",
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"password": {
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"description": "The password associated with the username.",
"group": "auth",
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"title": "Password",
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"description": "Port of the database. Defaults to 5432.",
"group": "db",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "Port",
"type": "integer"
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"replication_method": {
"description": "Configures how data is extracted from the database.",
"display_type": "radio",
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"oneOf": [
{
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"description": "Recommended - Incrementally reads new inserts, updates, and deletes using Postgres's change data capture feature. This must be enabled on your database.",
"properties": {
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"min": 1,
"order": 8,
"title": "Debezium Engine Shutdown Timeout in Seconds (Advanced)",
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"min": 120,
"order": 3,
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"order": 6,
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"lsn_commit_behaviour": {
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"description": "Determines when Airbyte should flush the LSN of processed WAL logs in the source database. `After loading Data in the destination` is default. If `While reading Data` is selected, in case of a downstream failure (while loading data into the destination), next sync would result in a full sync.",
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"publication": {
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"description": "A Postgres publication used for consuming changes. Read about publications and replication identities.",
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},
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"title": "Read Changes using Change Data Capture (CDC)",
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{
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"properties": {
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"enum": [
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{
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"properties": {
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"enum": [
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},
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],
"order": 12,
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},
"schemas": {
"description": "The list of schemas to sync from. Case sensitive. Empty means all schemas.",
"group": "db",
"items": {
"type": "string"
},
"order": 9,
"title": "Schemas",
"type": "array",
"uniqueItems": true
},
"ssl_mode": {
"default": "require",
"description": "The encryption method which is used when communicating with the database.",
"group": "security",
"oneOf": [
{
"additionalProperties": true,
"description": "To force communication without encryption.",
"properties": {
"mode": {
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"enum": [
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"type": "string"
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},
"required": [
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],
"title": "disable",
"type": "object"
},
{
"additionalProperties": true,
"description": "To allow encrypted communication, but not require it.",
"properties": {
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"enum": [
"allow"
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"type": "string"
}
},
"required": [
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],
"title": "allow",
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},
{
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"description": "To allow unencrypted communication only when the source doesn't support encryption.",
"properties": {
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"enum": [
"prefer"
],
"type": "string"
}
},
"required": [
"mode"
],
"title": "prefer",
"type": "object"
},
{
"additionalProperties": true,
"description": "To always require encryption. Note: The connection will fail if the source doesn't support encryption.",
"properties": {
"mode": {
"default": "require",
"enum": [
"require"
],
"type": "string"
}
},
"required": [
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],
"title": "require",
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},
{
"additionalProperties": true,
"description": "To always require encryption and verify that the source has a valid SSL certificate.",
"properties": {
"ca_certificate": {
"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"title": "CA certificate",
"type": "string"
},
"client_certificate": {
"airbyte_secret": true,
"description": "Client certificate (this is not a required field, but if you want to use it, you will need to add the Client key as well)",
"multiline": true,
"title": "Client certificate File",
"type": "string"
},
"client_key": {
"airbyte_secret": true,
"description": "Client key (this is not a required field, but if you want to use it, you will need to add the Client certificate as well)",
"multiline": true,
"title": "Client Key",
"type": "string"
},
"client_key_password": {
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"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"multiline": true,
"title": "Client key password",
"type": "string"
},
"mode": {
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"enum": [
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"type": "string"
}
},
"required": [
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"title": "verify-ca",
"type": "object"
},
{
"additionalProperties": true,
"description": "To always require encryption and verify that the source has a valid SSL certificate.",
"properties": {
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"description": "CA certificate",
"multiline": true,
"title": "CA certificate",
"type": "string"
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"description": "Client certificate (this is not a required field, but if you want to use it, you will need to add the Client key as well)",
"multiline": true,
"title": "Client certificate File",
"type": "string"
},
"client_key": {
"airbyte_secret": true,
"description": "Client key (this is not a required field, but if you want to use it, you will need to add the Client certificate as well)",
"multiline": true,
"title": "Client Key",
"type": "string"
},
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"description": "Password for keystorage. This field is optional. If you do not add it - the password will be generated automatically.",
"multiline": true,
"title": "Client key password",
"type": "string"
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"mode": {
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"enum": [
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},
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"title": "verify-full",
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],
"order": 8,
"title": "SSL Mode",
"type": "object"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"group": "security",
"oneOf": [
{
"additionalProperties": true,
"description": "No ssh tunnel needed to connect to database",
"properties": {
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"enum": [
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"type": "string"
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},
"required": [
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"title": "No Tunnel",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and ssh key",
"properties": {
"ssh_key": {
"airbyte_secret": true,
"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_KEY_AUTH",
"enum": [
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],
"type": "string"
},
"tunnel_port": {
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"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"ssh_key"
],
"title": "SSH Key Authentication",
"type": "object"
},
{
"additionalProperties": true,
"description": "Connect through a jump server tunnel host using username and password authentication",
"properties": {
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
"default": "SSH_PASSWORD_AUTH",
"enum": [
"SSH_PASSWORD_AUTH"
],
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host",
"order": 3,
"title": "SSH Login Username",
"type": "string"
},
"tunnel_user_password": {
"airbyte_secret": true,
"description": "OS-level password for logging into the jump server host",
"order": 4,
"title": "Password",
"type": "string"
}
},
"required": [
"tunnel_method",
"tunnel_host",
"tunnel_port",
"tunnel_user",
"tunnel_user_password"
],
"title": "Password Authentication",
"type": "object"
}
],
"order": 11,
"title": "SSH Tunnel Method",
"type": "object"
},
"username": {
"description": "The username which is used to access the database.",
"group": "auth",
"order": 4,
"title": "Username",
"type": "string"
}
},
"required": [
"host",
"port",
"database",
"username",
"tunnel_method",
"replication_method"
],
"title": "Postgres Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/postgres",
"supported_destination_sync_modes": [],
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
"language:java"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"sourceDefinitionId": "decd338e-5647-4c0b-adf4-da0e75f5a750",
"sourceType": "database",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"groups": [
{
"id": "db"
},
{
"id": "auth"
},
{
"id": "security",
"title": "Security"
},
{
"id": "advanced",
"title": "Advanced"
}
],
"properties": {
"database": {
"description": "Name of the database.",
"group": "db",
"order": 2,
"title": "Database Name",
"type": "string"
},
"entra_client_id": {
"description": "If using Entra service principal, the application ID of the service principal",
"group": "auth",
"title": "Entra client id",
"type": "string"
},
"entra_service_principal_auth": {
"default": false,
"description": "Interpret password as a client secret for a Microsft Entra service principal",
"group": "auth",
"title": "Entra service principal authentication",
"type": "boolean"
},
"entra_tenant_id": {
"description": "If using Entra service principal, the ID of the tenant",
"group": "auth",
"title": "Entra tenant id",
"type": "string"
},
"host": {
"description": "Hostname of the database.",
"group": "db",
"order": 0,
"title": "Host",
"type": "string"
},
"jdbc_url_params": {
"description": "Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'. (Eg. key1=value1&key2=value2&key3=value3). For more information read about JDBC URL parameters.",
"group": "advanced",
"order": 6,
"pattern_descriptor": "key1=value1&key2=value2",
"title": "JDBC URL Parameters (Advanced)",
"type": "string"
},
"password": {
"airbyte_secret": true,
"always_show": true,
"description": "Password associated with the username.",
"group": "auth",
"order": 5,
"title": "Password",
"type": "string"
},
"port": {
"default": 5432,
"description": "Port of the database.",
"examples": [
"5432"
],
"group": "db",
"maximum": 65536,
"minimum": 0,
"order": 1,
"title": "Port",
"type": "integer"
},
"replication_method": {
"default": "CDC",
"description": "Configures how data is extracted from the database.",
"display_type": "radio",
"group": "advanced",
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"additionalProperties": true,
"description": "Recommended - Incrementally reads new inserts, updates, and deletes using the Postgres write-ahead log (WAL). This needs to be configured on the source database itself. Recommended for tables of any size.",
"properties": {
"heartbeat_action_query": {
"default": "",
"description": "Specifies a query that the connector executes on the source database when the connector sends a heartbeat message. Please see the setup guide for how and when to configure this setting.",
"order": 8,
"title": "Debezium heartbeat query (Advanced)",
"type": "string"
},
"initial_load_timeout_hours": {
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"description": "The amount of time an initial load is allowed to continue for before catching up on CDC logs.",
"max": 24,
"min": 4,
"order": 10,
"title": "Initial Load Timeout in Hours (Advanced)",
"type": "integer"
},
"initial_waiting_seconds": {
"default": 1200,
"description": "The amount of time the connector will wait when it launches to determine if there is new data to sync or not. Defaults to 1200 seconds. Valid range: 120 seconds to 2400 seconds. Read about initial waiting time.",
"max": 2400,
"min": 120,
"order": 5,
"title": "Initial Waiting Time in Seconds (Advanced)",
"type": "integer"
},
"invalid_cdc_cursor_position_behavior": {
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"description": "Determines whether Airbyte should fail or re-sync data in case of an stale/invalid cursor value into the WAL. If 'Fail sync' is chosen, a user will have to manually reset the connection before being able to continue syncing data. If 'Re-sync data' is chosen, Airbyte will automatically trigger a refresh but could lead to higher cloud costs and data loss.",
"enum": [
"Fail sync",
"Re-sync data"
],
"order": 9,
"title": "Invalid CDC position behavior (Advanced)",
"type": "string"
},
"lsn_commit_behaviour": {
"default": "After loading Data in the destination",
"description": "Determines when Airbyte should flush the LSN of processed WAL logs in the source database. `After loading Data in the destination` is default. If `While reading Data` is selected, in case of a downstream failure (while loading data into the destination), next sync would result in a full sync.",
"enum": [
"While reading Data",
"After loading Data in the destination"
],
"order": 7,
"title": "LSN commit behaviour",
"type": "string"
},
"method": {
"const": "CDC",
"order": 1,
"type": "string"
},
"plugin": {
"default": "pgoutput",
"description": "A logical decoding plugin installed on the PostgreSQL server.",
"enum": [
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],
"order": 2,
"title": "Plugin",
"type": "string"
},
"publication": {
"description": "A Postgres publication used for consuming changes. Read about publications and replication identities.",
"order": 4,
"title": "Publication",
"type": "string"
},
"queue_size": {
"default": 10000,
"description": "The size of the internal queue. This may interfere with memory consumption and efficiency of the connector, please be careful.",
"max": 10000,
"min": 1000,
"order": 6,
"title": "Size of the queue (Advanced)",
"type": "integer"
},
"replication_slot": {
"description": "A plugin logical replication slot. Read about replication slots.",
"order": 3,
"title": "Replication Slot",
"type": "string"
}
},
"required": [
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"replication_slot",
"publication"
],
"title": "Read Changes using Write-Ahead Log (CDC)"
},
{
"description": "Recommended - Incrementally reads new inserts and updates via Postgres Xmin system column. Suitable for databases that have low transaction pressure.",
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"const": "Xmin",
"order": 0,
"type": "string"
}
},
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],
"title": "Detect Changes with Xmin System Column"
},
{
"description": "Incrementally detects new inserts and updates using the cursor column chosen when configuring a connection (e.g. created_at, updated_at).",
"properties": {
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"const": "Standard",
"order": 8,
"type": "string"
}
},
"required": [
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],
"title": "Scan Changes with User Defined Cursor"
}
],
"order": 9,
"title": "Update Method",
"type": "object"
},
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],
"description": "The list of schemas (case sensitive) to sync from. Defaults to public.",
"group": "db",
"items": {
"type": "string"
},
"minItems": 0,
"order": 3,
"title": "Schemas",
"type": "array",
"uniqueItems": true
},
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"description": "SSL connection modes. \n Read more in the docs.",
"group": "security",
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"description": "Disables encryption of communication between Airbyte and source database.",
"properties": {
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"const": "disable",
"order": 0,
"type": "string"
}
},
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},
{
"additionalProperties": true,
"description": "Enables encryption only when required by the source database.",
"properties": {
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"const": "allow",
"order": 0,
"type": "string"
}
},
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"title": "allow"
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{
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"properties": {
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"type": "string"
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},
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{
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"order": 0,
"type": "string"
}
},
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{
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"description": "Always require encryption and verifies that the source database server has a valid SSL certificate.",
"properties": {
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"description": "CA certificate",
"multiline": true,
"order": 1,
"title": "CA Certificate",
"type": "string"
},
"client_certificate": {
"airbyte_secret": true,
"always_show": true,
"description": "Client certificate",
"multiline": true,
"order": 2,
"title": "Client Certificate",
"type": "string"
},
"client_key": {
"airbyte_secret": true,
"always_show": true,
"description": "Client key",
"multiline": true,
"order": 3,
"title": "Client Key",
"type": "string"
},
"client_key_password": {
"airbyte_secret": true,
"description": "Password for keystorage. If you do not add it - the password will be generated automatically.",
"order": 4,
"title": "Client key password",
"type": "string"
},
"mode": {
"const": "verify-ca",
"order": 0,
"type": "string"
}
},
"required": [
"mode",
"ca_certificate"
],
"title": "verify-ca"
},
{
"additionalProperties": true,
"description": "This is the most secure mode. Always require encryption and verifies the identity of the source database server.",
"properties": {
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"airbyte_secret": true,
"description": "CA certificate",
"multiline": true,
"order": 1,
"title": "CA Certificate",
"type": "string"
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"client_certificate": {
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"always_show": true,
"description": "Client certificate",
"multiline": true,
"order": 2,
"title": "Client Certificate",
"type": "string"
},
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"airbyte_secret": true,
"always_show": true,
"description": "Client key",
"multiline": true,
"order": 3,
"title": "Client Key",
"type": "string"
},
"client_key_password": {
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"description": "Password for keystorage. If you do not add it - the password will be generated automatically.",
"order": 4,
"title": "Client key password",
"type": "string"
},
"mode": {
"const": "verify-full",
"order": 0,
"type": "string"
}
},
"required": [
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"ca_certificate"
],
"title": "verify-full"
}
],
"order": 8,
"title": "SSL Modes",
"type": "object"
},
"tunnel_method": {
"description": "Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.",
"group": "security",
"oneOf": [
{
"properties": {
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"const": "NO_TUNNEL",
"description": "No ssh tunnel needed to connect to database",
"order": 0,
"type": "string"
}
},
"required": [
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],
"title": "No Tunnel"
},
{
"properties": {
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"description": "OS-level user account ssh key credentials in RSA PEM format ( created with ssh-keygen -t rsa -m PEM -f myuser_rsa )",
"multiline": true,
"order": 4,
"title": "SSH Private Key",
"type": "string"
},
"tunnel_host": {
"description": "Hostname of the jump server host that allows inbound ssh tunnel.",
"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
},
"tunnel_method": {
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"description": "Connect through a jump server tunnel host using username and ssh key",
"order": 0,
"type": "string"
},
"tunnel_port": {
"default": 22,
"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"examples": [
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],
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
},
"tunnel_user": {
"description": "OS-level username for logging into the jump server host.",
"order": 3,
"title": "SSH Login Username",
"type": "string"
}
},
"required": [
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"tunnel_user",
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"title": "SSH Key Authentication"
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"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
"type": "integer"
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"tunnel_user": {
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},
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"title": "Password Authentication"
}
],
"title": "SSH Tunnel Method",
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"group": "auth",
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"title": "Username",
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},
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"type": "GSM"
}
},
{
"fileName": "zip_config_jsonl.json",
"name": "SECRET_SOURCE-S3_ZIP_JSONL__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "zip_config_parquet.json",
"name": "SECRET_SOURCE-S3_ZIP_PARQUET__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config.json",
"name": "SECRET_SOURCE-S3__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "4.14.0-rc.1",
"dockerRepository": "airbyte/source-s3",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/s3",
"generated": {
"git": {
"commit_author": "Aldo Gonzalez",
"commit_author_email": "168454423+aldogonzalez8@users.noreply.github.com",
"commit_sha": "a662d91db14006bc80d1e3174a6979bfbaae341d",
"commit_timestamp": "2025-05-05T10:00:17-06:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-s3/4.14.0-rc.1.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_etag": "CKa7gtvbjI0DEAE=",
"metadata_file_path": "metadata/airbyte/source-s3/4.14.0-rc.1/metadata.yaml",
"metadata_last_modified": "2025-05-05T16:10:00.324000+00:00",
"registry_entry_generated_at": "2025-05-05T16:12:56.179208"
}
},
"githubIssueLabel": "source-s3",
"icon": "s3.svg",
"language": "python",
"license": "ELv2",
"maxSecondsBetweenMessages": 1,
"name": "S3",
"packageInfo": {
"cdk_version": "python:6.45.10"
},
"public": true,
"releaseStage": "generally_available",
"releases": {
"breakingChanges": {
"4.0.0": {
"message": "UX improvement, multi-stream support and deprecation of some parsing features",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/s3-migrations#4.0.0",
"upgradeDeadline": "2023-10-05"
},
"4.0.4": {
"message": "Following 4.0.0 config change, we are eliminating the `streams.*.file_type` field which was redundant with `streams.*.format`",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/s3-migrations#4.0.4",
"upgradeDeadline": "2023-10-18"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/s3-migrations",
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-s3"
}
},
"sourceDefinitionId": "69589781-7828-43c5-9f63-8925b1c1ccc2",
"sourceType": "file",
"spec": {
"connectionSpecification": {
"description": "NOTE: When this Spec is changed, legacy_config_transformer.py must also be modified to uptake the changes\nbecause it is responsible for converting legacy S3 v3 configs into v4 configs using the File-Based CDK.",
"properties": {
"aws_access_key_id": {
"airbyte_secret": true,
"description": "In order to access private Buckets stored on AWS S3, this connector requires credentials with the proper permissions. If accessing publicly available data, this field is not necessary.",
"order": 2,
"title": "AWS Access Key ID",
"type": "string"
},
"aws_secret_access_key": {
"airbyte_secret": true,
"description": "In order to access private Buckets stored on AWS S3, this connector requires credentials with the proper permissions. If accessing publicly available data, this field is not necessary.",
"order": 3,
"title": "AWS Secret Access Key",
"type": "string"
},
"bucket": {
"description": "Name of the S3 bucket where the file(s) exist.",
"order": 0,
"title": "Bucket",
"type": "string"
},
"dataset": {
"airbyte_hidden": true,
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use streams.name instead. The name of the stream you would like this source to output. Can contain letters, numbers, or underscores.",
"order": 100,
"pattern": "^([A-Za-z0-9-_]+)$",
"title": "Output Stream Name",
"type": "string"
},
"delivery_method": {
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 6,
"title": "Delivery Method",
"type": "object"
},
"endpoint": {
"default": "",
"description": "Endpoint to an S3 compatible service. Leave empty to use AWS. The custom endpoint must be secure, but the 'https' prefix is not required.",
"examples": [
"my-s3-endpoint.com",
"https://my-s3-endpoint.com"
],
"order": 4,
"pattern": "^(?!http://).*$",
"title": "Endpoint",
"type": "string"
},
"format": {
"airbyte_hidden": true,
"default": "csv",
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use streams.format instead. The format of the files you'd like to replicate",
"oneOf": [
{
"description": "This connector utilises PyArrow (Apache Arrow) for CSV parsing.",
"properties": {
"additional_reader_options": {
"description": "Optionally add a valid JSON string here to provide additional options to the csv reader. Mappings must correspond to options detailed here. 'column_types' is used internally to handle schema so overriding that would likely cause problems.",
"examples": [
"{\"timestamp_parsers\": [\"%m/%d/%Y %H:%M\", \"%Y/%m/%d %H:%M\"], \"strings_can_be_null\": true, \"null_values\": [\"NA\", \"NULL\"]}"
],
"order": 7,
"title": "Additional Reader Options",
"type": "string"
},
"advanced_options": {
"description": "Optionally add a valid JSON string here to provide additional Pyarrow ReadOptions. Specify 'column_names' here if your CSV doesn't have header, or if you want to use custom column names. 'block_size' and 'encoding' are already used above, specify them again here will override the values above.",
"examples": [
"{\"column_names\": [\"column1\", \"column2\"]}"
],
"order": 8,
"title": "Advanced Options",
"type": "string"
},
"block_size": {
"default": 10000,
"description": "The chunk size in bytes to process at a time in memory from each file. If your data is particularly wide and failing during schema detection, increasing this should solve it. Beware of raising this too high as you could hit OOM errors.",
"maximum": 2147483647,
"minimum": 1,
"order": 9,
"title": "Block Size",
"type": "integer"
},
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"minLength": 1,
"order": 0,
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"order": 5,
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"order": 4,
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"order": 3,
"title": "Escape Character",
"type": "string"
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"infer_datatypes": {
"default": true,
"description": "Configures whether a schema for the source should be inferred from the current data or not. If set to false and a custom schema is set, then the manually enforced schema is used. If a schema is not manually set, and this is set to false, then all fields will be read as strings",
"order": 1,
"title": "Infer Datatypes",
"type": "boolean"
},
"newlines_in_values": {
"default": false,
"description": "Whether newline characters are allowed in CSV values. Turning this on may affect performance. Leave blank to default to False.",
"order": 6,
"title": "Allow newlines in values",
"type": "boolean"
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"order": 2,
"title": "Quote Character",
"type": "string"
}
},
"title": "CSV",
"type": "object"
},
{
"description": "This connector utilises PyArrow (Apache Arrow) for Parquet parsing.",
"properties": {
"batch_size": {
"default": 65536,
"description": "Maximum number of records per batch read from the input files. Batches may be smaller if there aren\u2019t enough rows in the file. This option can help avoid out-of-memory errors if your data is particularly wide.",
"order": 1,
"title": "Record batch size",
"type": "integer"
},
"buffer_size": {
"default": 2,
"description": "Perform read buffering when deserializing individual column chunks. By default every group column will be loaded fully to memory. This option can help avoid out-of-memory errors if your data is particularly wide.",
"title": "Buffer Size",
"type": "integer"
},
"columns": {
"description": "If you only want to sync a subset of the columns from the file(s), add the columns you want here as a comma-delimited list. Leave it empty to sync all columns.",
"items": {
"type": "string"
},
"order": 0,
"title": "Selected Columns",
"type": "array"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"title": "Parquet",
"type": "object"
},
{
"description": "This connector utilises fastavro for Avro parsing.",
"properties": {
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"title": "Avro",
"type": "object"
},
{
"description": "This connector uses PyArrow for JSON Lines (jsonl) file parsing.",
"properties": {
"block_size": {
"default": 0,
"description": "The chunk size in bytes to process at a time in memory from each file. If your data is particularly wide and failing during schema detection, increasing this should solve it. Beware of raising this too high as you could hit OOM errors.",
"order": 2,
"title": "Block Size",
"type": "integer"
},
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
},
"newlines_in_values": {
"default": false,
"description": "Whether newline characters are allowed in JSON values. Turning this on may affect performance. Leave blank to default to False.",
"order": 0,
"title": "Allow newlines in values",
"type": "boolean"
},
"unexpected_field_behavior": {
"default": "infer",
"description": "How JSON fields outside of explicit_schema (if given) are treated. Check PyArrow documentation for details",
"enum": [
"ignore",
"infer",
"error"
],
"examples": [
"ignore",
"infer",
"error"
],
"order": 1,
"title": "Unexpected field behavior"
}
},
"title": "Jsonl",
"type": "object"
}
],
"order": 120,
"title": "File Format",
"type": "object"
},
"path_pattern": {
"airbyte_hidden": true,
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use streams.globs instead. A regular expression which tells the connector which files to replicate. All files which match this pattern will be replicated. Use | to separate multiple patterns. See this page to understand pattern syntax (GLOBSTAR and SPLIT flags are enabled). Use pattern ** to pick up all files.",
"examples": [
"**",
"myFolder/myTableFiles/*.csv|myFolder/myOtherTableFiles/*.csv"
],
"order": 110,
"title": "Pattern of files to replicate",
"type": "string"
},
"provider": {
"airbyte_hidden": true,
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use bucket, aws_access_key_id, aws_secret_access_key and endpoint instead. Use this to load files from S3 or S3-compatible services",
"order": 111,
"properties": {
"aws_access_key_id": {
"airbyte_secret": true,
"always_show": true,
"description": "In order to access private Buckets stored on AWS S3, this connector requires credentials with the proper permissions. If accessing publicly available data, this field is not necessary.",
"order": 1,
"title": "AWS Access Key ID",
"type": "string"
},
"aws_secret_access_key": {
"airbyte_secret": true,
"always_show": true,
"description": "In order to access private Buckets stored on AWS S3, this connector requires credentials with the proper permissions. If accessing publicly available data, this field is not necessary.",
"order": 2,
"title": "AWS Secret Access Key",
"type": "string"
},
"bucket": {
"description": "Name of the S3 bucket where the file(s) exist.",
"order": 0,
"title": "Bucket",
"type": "string"
},
"endpoint": {
"default": "",
"description": "Endpoint to an S3 compatible service. Leave empty to use AWS.",
"order": 4,
"title": "Endpoint",
"type": "string"
},
"path_prefix": {
"default": "",
"description": "By providing a path-like prefix (e.g. myFolder/thisTable/) under which all the relevant files sit, we can optimize finding these in S3. This is optional but recommended if your bucket contains many folders/files which you don't need to replicate.",
"order": 3,
"title": "Path Prefix",
"type": "string"
},
"region_name": {
"description": "AWS region where the S3 bucket is located. If not provided, the region will be determined automatically.",
"order": 5,
"title": "AWS Region",
"type": "string"
},
"role_arn": {
"always_show": true,
"description": "Specifies the Amazon Resource Name (ARN) of an IAM role that you want to use to perform operations requested using this profile. Set the External ID to the Airbyte workspace ID, which can be found in the URL of this page.",
"order": 7,
"title": "AWS Role ARN",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00Z"
],
"format": "date-time",
"order": 6,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start Date",
"type": "string"
}
},
"required": [],
"title": "S3: Amazon Web Services",
"type": "object"
},
"region_name": {
"description": "AWS region where the S3 bucket is located. If not provided, the region will be determined automatically.",
"order": 5,
"title": "AWS Region",
"type": "string"
},
"role_arn": {
"description": "Specifies the Amazon Resource Name (ARN) of an IAM role that you want to use to perform operations requested using this profile. Set the External ID to the Airbyte workspace ID, which can be found in the URL of this page.",
"order": 6,
"title": "AWS Role ARN",
"type": "string"
},
"schema": {
"airbyte_hidden": true,
"default": "{}",
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use streams.input_schema instead. Optionally provide a schema to enforce, as a valid JSON string. Ensure this is a mapping of { \"column\" : \"type\" }, where types are valid JSON Schema datatypes. Leave as {} to auto-infer the schema.",
"examples": [
"{\"column_1\": \"number\", \"column_2\": \"string\", \"column_3\": \"array\", \"column_4\": \"object\", \"column_5\": \"boolean\"}"
],
"order": 130,
"title": "Manually enforced data schema",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"inference_type": {
"airbyte_hidden": true,
"default": "None",
"description": "How to infer the types of the columns. If none, inference default to strings.",
"enum": [
"None",
"Primitive Types Only"
],
"title": "Inference Type"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"legacy_prefix": {
"airbyte_hidden": true,
"description": "The path prefix configured in v3 versions of the S3 connector. This option is deprecated in favor of a single glob.",
"title": "Legacy Prefix",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
}
},
"required": [
"streams",
"bucket"
],
"title": "Config",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/s3",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "certified",
"supportsFileTransfer": true,
"supportsRefreshes": false,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-s3"
}
},
"sourceDefinitionId": "69589781-7828-43c5-9f63-8925b1c1ccc2",
"sourceType": "file",
"spec": {
"connectionSpecification": {
"description": "NOTE: When this Spec is changed, legacy_config_transformer.py must also be modified to uptake the changes\nbecause it is responsible for converting legacy S3 v3 configs into v4 configs using the File-Based CDK.",
"properties": {
"aws_access_key_id": {
"airbyte_secret": true,
"description": "In order to access private Buckets stored on AWS S3, this connector requires credentials with the proper permissions. If accessing publicly available data, this field is not necessary.",
"order": 2,
"title": "AWS Access Key ID",
"type": "string"
},
"aws_secret_access_key": {
"airbyte_secret": true,
"description": "In order to access private Buckets stored on AWS S3, this connector requires credentials with the proper permissions. If accessing publicly available data, this field is not necessary.",
"order": 3,
"title": "AWS Secret Access Key",
"type": "string"
},
"bucket": {
"description": "Name of the S3 bucket where the file(s) exist.",
"order": 0,
"title": "Bucket",
"type": "string"
},
"dataset": {
"airbyte_hidden": true,
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use streams.name instead. The name of the stream you would like this source to output. Can contain letters, numbers, or underscores.",
"order": 100,
"pattern": "^([A-Za-z0-9-_]+)$",
"title": "Output Stream Name",
"type": "string"
},
"delivery_method": {
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 6,
"title": "Delivery Method",
"type": "object"
},
"endpoint": {
"default": "",
"description": "Endpoint to an S3 compatible service. Leave empty to use AWS. The custom endpoint must be secure, but the 'https' prefix is not required.",
"examples": [
"my-s3-endpoint.com",
"https://my-s3-endpoint.com"
],
"order": 4,
"pattern": "^(?!http://).*$",
"title": "Endpoint",
"type": "string"
},
"format": {
"airbyte_hidden": true,
"default": "csv",
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use streams.format instead. The format of the files you'd like to replicate",
"oneOf": [
{
"description": "This connector utilises PyArrow (Apache Arrow) for CSV parsing.",
"properties": {
"additional_reader_options": {
"description": "Optionally add a valid JSON string here to provide additional options to the csv reader. Mappings must correspond to options detailed here. 'column_types' is used internally to handle schema so overriding that would likely cause problems.",
"examples": [
"{\"timestamp_parsers\": [\"%m/%d/%Y %H:%M\", \"%Y/%m/%d %H:%M\"], \"strings_can_be_null\": true, \"null_values\": [\"NA\", \"NULL\"]}"
],
"order": 7,
"title": "Additional Reader Options",
"type": "string"
},
"advanced_options": {
"description": "Optionally add a valid JSON string here to provide additional Pyarrow ReadOptions. Specify 'column_names' here if your CSV doesn't have header, or if you want to use custom column names. 'block_size' and 'encoding' are already used above, specify them again here will override the values above.",
"examples": [
"{\"column_names\": [\"column1\", \"column2\"]}"
],
"order": 8,
"title": "Advanced Options",
"type": "string"
},
"block_size": {
"default": 10000,
"description": "The chunk size in bytes to process at a time in memory from each file. If your data is particularly wide and failing during schema detection, increasing this should solve it. Beware of raising this too high as you could hit OOM errors.",
"maximum": 2147483647,
"minimum": 1,
"order": 9,
"title": "Block Size",
"type": "integer"
},
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"minLength": 1,
"order": 0,
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"order": 5,
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"order": 4,
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"order": 3,
"title": "Escape Character",
"type": "string"
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"infer_datatypes": {
"default": true,
"description": "Configures whether a schema for the source should be inferred from the current data or not. If set to false and a custom schema is set, then the manually enforced schema is used. If a schema is not manually set, and this is set to false, then all fields will be read as strings",
"order": 1,
"title": "Infer Datatypes",
"type": "boolean"
},
"newlines_in_values": {
"default": false,
"description": "Whether newline characters are allowed in CSV values. Turning this on may affect performance. Leave blank to default to False.",
"order": 6,
"title": "Allow newlines in values",
"type": "boolean"
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"order": 2,
"title": "Quote Character",
"type": "string"
}
},
"title": "CSV",
"type": "object"
},
{
"description": "This connector utilises PyArrow (Apache Arrow) for Parquet parsing.",
"properties": {
"batch_size": {
"default": 65536,
"description": "Maximum number of records per batch read from the input files. Batches may be smaller if there aren\u2019t enough rows in the file. This option can help avoid out-of-memory errors if your data is particularly wide.",
"order": 1,
"title": "Record batch size",
"type": "integer"
},
"buffer_size": {
"default": 2,
"description": "Perform read buffering when deserializing individual column chunks. By default every group column will be loaded fully to memory. This option can help avoid out-of-memory errors if your data is particularly wide.",
"title": "Buffer Size",
"type": "integer"
},
"columns": {
"description": "If you only want to sync a subset of the columns from the file(s), add the columns you want here as a comma-delimited list. Leave it empty to sync all columns.",
"items": {
"type": "string"
},
"order": 0,
"title": "Selected Columns",
"type": "array"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"title": "Parquet",
"type": "object"
},
{
"description": "This connector utilises fastavro for Avro parsing.",
"properties": {
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"title": "Avro",
"type": "object"
},
{
"description": "This connector uses PyArrow for JSON Lines (jsonl) file parsing.",
"properties": {
"block_size": {
"default": 0,
"description": "The chunk size in bytes to process at a time in memory from each file. If your data is particularly wide and failing during schema detection, increasing this should solve it. Beware of raising this too high as you could hit OOM errors.",
"order": 2,
"title": "Block Size",
"type": "integer"
},
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
},
"newlines_in_values": {
"default": false,
"description": "Whether newline characters are allowed in JSON values. Turning this on may affect performance. Leave blank to default to False.",
"order": 0,
"title": "Allow newlines in values",
"type": "boolean"
},
"unexpected_field_behavior": {
"default": "infer",
"description": "How JSON fields outside of explicit_schema (if given) are treated. Check PyArrow documentation for details",
"enum": [
"ignore",
"infer",
"error"
],
"examples": [
"ignore",
"infer",
"error"
],
"order": 1,
"title": "Unexpected field behavior"
}
},
"title": "Jsonl",
"type": "object"
}
],
"order": 120,
"title": "File Format",
"type": "object"
},
"path_pattern": {
"airbyte_hidden": true,
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use streams.globs instead. A regular expression which tells the connector which files to replicate. All files which match this pattern will be replicated. Use | to separate multiple patterns. See this page to understand pattern syntax (GLOBSTAR and SPLIT flags are enabled). Use pattern ** to pick up all files.",
"examples": [
"**",
"myFolder/myTableFiles/*.csv|myFolder/myOtherTableFiles/*.csv"
],
"order": 110,
"title": "Pattern of files to replicate",
"type": "string"
},
"provider": {
"airbyte_hidden": true,
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use bucket, aws_access_key_id, aws_secret_access_key and endpoint instead. Use this to load files from S3 or S3-compatible services",
"order": 111,
"properties": {
"aws_access_key_id": {
"airbyte_secret": true,
"always_show": true,
"description": "In order to access private Buckets stored on AWS S3, this connector requires credentials with the proper permissions. If accessing publicly available data, this field is not necessary.",
"order": 1,
"title": "AWS Access Key ID",
"type": "string"
},
"aws_secret_access_key": {
"airbyte_secret": true,
"always_show": true,
"description": "In order to access private Buckets stored on AWS S3, this connector requires credentials with the proper permissions. If accessing publicly available data, this field is not necessary.",
"order": 2,
"title": "AWS Secret Access Key",
"type": "string"
},
"bucket": {
"description": "Name of the S3 bucket where the file(s) exist.",
"order": 0,
"title": "Bucket",
"type": "string"
},
"endpoint": {
"default": "",
"description": "Endpoint to an S3 compatible service. Leave empty to use AWS.",
"order": 4,
"title": "Endpoint",
"type": "string"
},
"path_prefix": {
"default": "",
"description": "By providing a path-like prefix (e.g. myFolder/thisTable/) under which all the relevant files sit, we can optimize finding these in S3. This is optional but recommended if your bucket contains many folders/files which you don't need to replicate.",
"order": 3,
"title": "Path Prefix",
"type": "string"
},
"region_name": {
"description": "AWS region where the S3 bucket is located. If not provided, the region will be determined automatically.",
"order": 5,
"title": "AWS Region",
"type": "string"
},
"role_arn": {
"always_show": true,
"description": "Specifies the Amazon Resource Name (ARN) of an IAM role that you want to use to perform operations requested using this profile. Set the External ID to the Airbyte workspace ID, which can be found in the URL of this page.",
"order": 7,
"title": "AWS Role ARN",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00Z"
],
"format": "date-time",
"order": 6,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start Date",
"type": "string"
}
},
"required": [],
"title": "S3: Amazon Web Services",
"type": "object"
},
"region_name": {
"description": "AWS region where the S3 bucket is located. If not provided, the region will be determined automatically.",
"order": 5,
"title": "AWS Region",
"type": "string"
},
"role_arn": {
"description": "Specifies the Amazon Resource Name (ARN) of an IAM role that you want to use to perform operations requested using this profile. Set the External ID to the Airbyte workspace ID, which can be found in the URL of this page.",
"order": 6,
"title": "AWS Role ARN",
"type": "string"
},
"schema": {
"airbyte_hidden": true,
"default": "{}",
"description": "Deprecated and will be removed soon. Please do not use this field anymore and use streams.input_schema instead. Optionally provide a schema to enforce, as a valid JSON string. Ensure this is a mapping of { \"column\" : \"type\" }, where types are valid JSON Schema datatypes. Leave as {} to auto-infer the schema.",
"examples": [
"{\"column_1\": \"number\", \"column_2\": \"string\", \"column_3\": \"array\", \"column_4\": \"object\", \"column_5\": \"boolean\"}"
],
"order": 130,
"title": "Manually enforced data schema",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"inference_type": {
"airbyte_hidden": true,
"default": "None",
"description": "How to infer the types of the columns. If none, inference default to strings.",
"enum": [
"None",
"Primitive Types Only"
],
"title": "Inference Type"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
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"t",
"true",
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}
},
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"title": "CSV Format",
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{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
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"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
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"description": "Processing configuration",
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{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
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"const": "local",
"default": "local",
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"title": "Skip Unprocessable Files",
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"fast",
"ocr_only",
"hi_res"
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"order": 0,
"title": "Parsing Strategy",
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}
},
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],
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},
{
"properties": {
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"const": "excel",
"default": "excel",
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}
},
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"title": "Globs",
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"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
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},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
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"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
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"title": "Validation Policy"
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},
"required": [
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},
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"client_secret": "{{ client_secret_value }}",
"code": "{{ auth_code_value }}",
"grant_type": "authorization_code",
"redirect_uri": "{{ redirect_uri_value }}"
},
"access_token_url": "https://{% if is_sandbox %}test{% else %}login{% endif %}.salesforce.com/services/oauth2/token",
"consent_url": "https://{% if is_sandbox %}test{% else %}login{% endif %}.salesforce.com/services/oauth2/authorize?{{client_id_param}}&{{redirect_uri_param}}&response_type=code&{{state_param}}",
"extract_output": [
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},
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"title": "Client ID",
"type": "string"
},
"client_secret": {
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"description": "Enter your Salesforce developer application's Client secret",
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"title": "Client Secret",
"type": "string"
},
"force_use_bulk_api": {
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"description": "Toggle to use Bulk API (this might cause empty fields for some streams)",
"order": 6,
"title": "Force to use BULK API",
"type": "boolean"
},
"is_sandbox": {
"default": false,
"description": "Toggle if you're using a Salesforce Sandbox",
"order": 1,
"title": "Sandbox",
"type": "boolean"
},
"lookback_window": {
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"examples": [
"PT10M",
"PT30M",
"PT1H"
],
"order": 8,
"title": "Lookback Window for Incremental sync",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Enter your application's Salesforce Refresh Token used for Airbyte to access your Salesforce account.",
"order": 4,
"title": "Refresh Token",
"type": "string"
},
"start_date": {
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"order": 7,
"title": "Stream Slice Step for Incremental sync",
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"type": "string"
}
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"order": 9,
"title": "Filter Salesforce Objects",
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}
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"type": "object"
},
{
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"description": "Verify and use the certificate provided by the server.",
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"type": "string"
},
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"description": "Privacy Enhanced Mail (PEM) files are concatenated certificate containers frequently used in certificate installations.",
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"title": "SSL PEM File",
"type": "string"
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},
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],
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"description": "Inclusion filter configuration for table selection per schema.",
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"type": "string"
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"description": "List of table name patterns to include from this schema. Each filter should be a SQL LIKE pattern.",
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"type": "object"
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"minimum": 0,
"order": 2,
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"items": {
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"title": "SSH Private Key",
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"type": "string"
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"maximum": 65536,
"minimum": 0,
"order": 2,
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"order": 1,
"title": "SSH Tunnel Jump Server Host",
"type": "string"
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"description": "Port on the proxy/jump server that accepts inbound ssh connections.",
"maximum": 65536,
"minimum": 0,
"order": 2,
"title": "SSH Connection Port",
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"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
},
{
"description": "Process files via an API, using the `hi_res` mode. This option is useful for increased performance and accuracy, but requires an API key and a hosted instance of unstructured.",
"properties": {
"api_key": {
"airbyte_secret": true,
"always_show": true,
"default": "",
"description": "The API key to use matching the environment",
"title": "API Key",
"type": "string"
},
"api_url": {
"always_show": true,
"default": "https://api.unstructured.io",
"description": "The URL of the unstructured API to use",
"examples": [
"https://api.unstructured.com"
],
"title": "API URL",
"type": "string"
},
"mode": {
"const": "api",
"default": "api",
"enum": [
"api"
],
"title": "Mode",
"type": "string"
},
"parameters": {
"always_show": true,
"default": [],
"description": "List of parameters send to the API",
"items": {
"properties": {
"name": {
"description": "The name of the unstructured API parameter to use",
"examples": [
"combine_under_n_chars",
"languages"
],
"title": "Parameter name",
"type": "string"
},
"value": {
"description": "The value of the parameter",
"examples": [
"true",
"hi_res"
],
"title": "Value",
"type": "string"
}
},
"required": [
"name",
"value"
],
"title": "APIParameterConfigModel",
"type": "object"
},
"title": "Additional URL Parameters",
"type": "array"
}
},
"required": [
"mode"
],
"title": "via API",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"legacy_prefix": {
"airbyte_hidden": true,
"description": "The path prefix configured in v3 versions of the S3 connector. This option is deprecated in favor of a single glob.",
"title": "Legacy Prefix",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"use_first_found_file_for_schema_discovery": {
"default": false,
"description": "When enabled, the source will use the first found file for schema discovery. Helps to avoid long discovery step.",
"title": "Use First Found File For Schema Discover",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
},
"username": {
"description": "The server user",
"order": 3,
"title": "User Name",
"type": "string"
}
},
"required": [
"streams",
"host",
"username",
"credentials"
],
"title": "SFTP Bulk Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/sftp-bulk",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": true,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
}
},
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": false,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": true,
"packageName": "airbyte-source-sftp-bulk"
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "check_connection",
"resourceRequirements": {
"memory_limit": "4096Mi",
"memory_request": "4096Mi"
}
},
{
"jobType": "discover_schema",
"resourceRequirements": {
"memory_limit": "4096Mi",
"memory_request": "4096Mi"
}
}
]
},
"sourceDefinitionId": "31e3242f-dee7-4cdc-a4b8-8e06c5458517",
"sourceType": "file",
"spec": {
"connectionSpecification": {
"description": "Used during spec; allows the developer to configure the cloud provider specific options\nthat are needed when users configure a file-based source.",
"properties": {
"credentials": {
"description": "Credentials for connecting to the SFTP Server",
"oneOf": [
{
"properties": {
"auth_type": {
"const": "password",
"default": "password",
"enum": [
"password"
],
"title": "Auth Type",
"type": "string"
},
"password": {
"airbyte_secret": true,
"description": "Password",
"order": 3,
"title": "Password",
"type": "string"
}
},
"required": [
"password",
"auth_type"
],
"title": "Authenticate via Password",
"type": "object"
},
{
"properties": {
"auth_type": {
"const": "private_key",
"default": "private_key",
"enum": [
"private_key"
],
"title": "Auth Type",
"type": "string"
},
"private_key": {
"airbyte_secret": true,
"description": "The Private key",
"multiline": true,
"order": 4,
"title": "Private key",
"type": "string"
}
},
"required": [
"private_key",
"auth_type"
],
"title": "Authenticate via Private Key",
"type": "object"
}
],
"order": 4,
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
}
],
"order": 7,
"title": "Delivery Method",
"type": "object"
},
"folder_path": {
"default": "/",
"description": "The directory to search files for sync",
"examples": [
"/logs/2022"
],
"order": 6,
"pattern_descriptor": "/folder_to_sync",
"title": "Folder Path",
"type": "string"
},
"host": {
"description": "The server host address",
"examples": [
"www.host.com",
"192.0.2.1"
],
"order": 2,
"title": "Host Address",
"type": "string"
},
"port": {
"default": 22,
"description": "The server port",
"examples": [
"22"
],
"order": 5,
"title": "Host Address",
"type": "integer"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$",
"pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"inference_type": {
"airbyte_hidden": true,
"default": "None",
"description": "How to infer the types of the columns. If none, inference default to strings.",
"enum": [
"None",
"Primitive Types Only"
],
"title": "Inference Type"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
},
{
"description": "Process files via an API, using the `hi_res` mode. This option is useful for increased performance and accuracy, but requires an API key and a hosted instance of unstructured.",
"properties": {
"api_key": {
"airbyte_secret": true,
"always_show": true,
"default": "",
"description": "The API key to use matching the environment",
"title": "API Key",
"type": "string"
},
"api_url": {
"always_show": true,
"default": "https://api.unstructured.io",
"description": "The URL of the unstructured API to use",
"examples": [
"https://api.unstructured.com"
],
"title": "API URL",
"type": "string"
},
"mode": {
"const": "api",
"default": "api",
"enum": [
"api"
],
"title": "Mode",
"type": "string"
},
"parameters": {
"always_show": true,
"default": [],
"description": "List of parameters send to the API",
"items": {
"properties": {
"name": {
"description": "The name of the unstructured API parameter to use",
"examples": [
"combine_under_n_chars",
"languages"
],
"title": "Parameter name",
"type": "string"
},
"value": {
"description": "The value of the parameter",
"examples": [
"true",
"hi_res"
],
"title": "Value",
"type": "string"
}
},
"required": [
"name",
"value"
],
"title": "APIParameterConfigModel",
"type": "object"
},
"title": "Additional URL Parameters",
"type": "array"
}
},
"required": [
"mode"
],
"title": "via API",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
"description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.",
"items": {
"type": "string"
},
"order": 1,
"title": "Globs",
"type": "array"
},
"input_schema": {
"description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.",
"title": "Input Schema",
"type": "string"
},
"legacy_prefix": {
"airbyte_hidden": true,
"description": "The path prefix configured in v3 versions of the S3 connector. This option is deprecated in favor of a single glob.",
"title": "Legacy Prefix",
"type": "string"
},
"name": {
"description": "The name of the stream.",
"title": "Name",
"type": "string"
},
"primary_key": {
"airbyte_hidden": true,
"description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.",
"title": "Primary Key",
"type": "string"
},
"recent_n_files_to_read_for_schema_discovery": {
"description": "The number of resent files which will be used to discover the schema for this stream.",
"exclusiveMinimum": 0,
"title": "Files To Read For Schema Discover",
"type": "integer"
},
"schemaless": {
"default": false,
"description": "When enabled, syncs will not validate or structure records against the stream's schema.",
"title": "Schemaless",
"type": "boolean"
},
"use_first_found_file_for_schema_discovery": {
"default": false,
"description": "When enabled, the source will use the first found file for schema discovery. Helps to avoid long discovery step.",
"title": "Use First Found File For Schema Discover",
"type": "boolean"
},
"validation_policy": {
"default": "Emit Record",
"description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.",
"enum": [
"Emit Record",
"Skip Record",
"Wait for Discover"
],
"title": "Validation Policy"
}
},
"required": [
"name",
"format"
],
"title": "FileBasedStreamConfig",
"type": "object"
},
"order": 10,
"title": "The list of streams to sync",
"type": "array"
},
"username": {
"description": "The server user",
"order": 3,
"title": "User Name",
"type": "string"
}
},
"required": [
"streams",
"host",
"username",
"credentials"
],
"title": "SFTP Bulk Source Spec",
"type": "object"
},
"documentationUrl": "https://docs.airbyte.com/integrations/sources/sftp-bulk",
"supportsDBT": false,
"supportsNormalization": false
},
"supportLevel": "community",
"supportsDataActivation": false,
"supportsFileTransfer": true,
"tags": [
"language:python",
"cdk:python-file-based"
],
"tombstone": false
},
{
"ab_internal": {
"isEnterprise": true,
"ql": 400,
"requireVersionIncrementsInPullRequests": true,
"sl": 200
},
"allowedHosts": {
"hosts": [
"graph.microsoft.com",
"login.microsoftonline.com"
]
},
"connectorBuildOptions": {
"baseImage": "docker.io/airbyte/python-connector-base:4.0.0@sha256:d9894b6895923b379f3006fa251147806919c62b7d9021b5cd125bb67d7bbe22"
},
"connectorTestSuitesOptions": [
{
"suite": "unitTests"
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "config.json",
"name": "SECRET_SOURCE-MICROSOFT-SHAREPOINTS_CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "0.3.2",
"dockerRepository": "airbyte/source-sharepoint-enterprise",
"documentationUrl": "https://docs.airbyte.com/integrations/enterprise-connectors/source-sharepoint-enterprise",
"generated": {
"git": {
"commit_author": "Daryna Ishchenko",
"commit_author_email": "darina.ishchenko17@gmail.com",
"commit_sha": "b764e2fbadfd90ad624f95257c066381925445d6",
"commit_timestamp": "2026-03-30T15:09:06+03:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-sharepoint-enterprise/0.3.2.spdx.json",
"source_file_info": {
"metadata_bucket_name": "prod-airbyte-cloud-connector-metadata-service",
"metadata_file_path": "metadata/airbyte/source-sharepoint-enterprise/latest/metadata.yaml",
"metadata_last_modified": "2026-03-30T12:18:30.276790+00:00",
"registry_entry_generated_at": "2026-03-30T12:18:30.276790+00:00"
}
},
"githubIssueLabel": "source-sharepoint-enterprise",
"icon": "microsoft-sharepoint.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-sharepoint-enterprise/latest/icon.svg",
"language": "python",
"license": "Airbyte Enterprise",
"maxSecondsBetweenMessages": 5400,
"name": "SharePoint Enterprise",
"packageInfo": {
"cdk_version": "python:7.11.1"
},
"public": true,
"releaseDate": "2025-04-14",
"releaseStage": "alpha",
"releases": {},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-sharepoint-enterprise"
}
},
"resourceRequirements": {
"jobSpecific": [
{
"jobType": "check_connection",
"resourceRequirements": {
"memory_limit": "1000Mi",
"memory_request": "1000Mi"
}
}
]
},
"sourceDefinitionId": "c8e0fa7d-47a2-4f1f-b69b-03860f528263",
"sourceType": "file",
"spec": {
"advanced_auth": {
"auth_flow_type": "oauth2.0",
"oauth_config_specification": {
"complete_oauth_output_specification": {
"additionalProperties": false,
"properties": {
"refresh_token": {
"path_in_connector_config": [
"credentials",
"refresh_token"
],
"path_in_oauth_response": [
"refresh_token"
],
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_input_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"type": "string"
},
"client_secret": {
"type": "string"
}
},
"type": "object"
},
"complete_oauth_server_output_specification": {
"additionalProperties": false,
"properties": {
"client_id": {
"path_in_connector_config": [
"credentials",
"client_id"
],
"type": "string"
},
"client_secret": {
"path_in_connector_config": [
"credentials",
"client_secret"
],
"type": "string"
}
},
"type": "object"
},
"oauth_connector_input_specification": {
"access_token_headers": {
"Content-Type": "application/x-www-form-urlencoded"
},
"access_token_params": {
"client_id": "{{ client_id_value }}",
"client_secret": "{{ client_secret_value }}",
"code": "{{ auth_code_value }}",
"grant_type": "authorization_code",
"redirect_uri": "{{ redirect_uri_value }}"
},
"access_token_url": "https://login.microsoftonline.com/{{tenant_id}}/oauth2/v2.0/token",
"consent_url": "https://login.microsoftonline.com/{{tenant_id}}/oauth2/v2.0/authorize?{{client_id_param}}&{{redirect_uri_param}}&{{state_param}}&scope={{scopes | urlencode }}&response_type=code"
},
"oauth_user_input_from_connector_config_specification": {
"additionalProperties": false,
"properties": {
"scopes": {
"path_in_connector_config": [
"credentials",
"scopes"
],
"type": "string"
},
"tenant_id": {
"path_in_connector_config": [
"credentials",
"tenant_id"
],
"type": "string"
}
},
"type": "object"
}
},
"predicate_key": [
"credentials",
"auth_type"
],
"predicate_value": "Client"
},
"connectionSpecification": {
"description": "SourceMicrosoftSharePointSpec class for Microsoft SharePoint Source Specification.\nThis class combines the authentication details with additional configuration for the SharePoint API.",
"properties": {
"credentials": {
"description": "Credentials for connecting to the One Drive API",
"oneOf": [
{
"description": "OAuthCredentials class to hold authentication details for Microsoft OAuth authentication.\nThis class uses pydantic for data validation and settings management.",
"properties": {
"auth_type": {
"const": "Client",
"default": "Client",
"enum": [
"Client"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"refresh_token": {
"airbyte_secret": true,
"description": "Refresh Token of your Microsoft developer application",
"title": "Refresh Token",
"type": "string"
},
"scopes": {
"default": "offline_access Files.Read.All Sites.Read.All Sites.Selected User.Read.All Group.Read.All Application.Read.All Device.Read.All",
"description": "Scopes to request when authorizing. If you want to change scopes after source was created, you need to Re-authenticate to actually apply this change to your access token. ",
"title": "Scopes",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft SharePoint user",
"title": "Tenant ID",
"type": "string"
}
},
"required": [
"tenant_id",
"client_id",
"client_secret"
],
"title": "Authenticate via Microsoft (OAuth)",
"type": "object"
},
{
"description": "ServiceCredentials class for service key authentication.\nThis class is structured similarly to OAuthCredentials but for a different authentication method.",
"properties": {
"auth_type": {
"const": "Service",
"default": "Service",
"enum": [
"Service"
],
"title": "Auth Type",
"type": "string"
},
"client_id": {
"airbyte_secret": true,
"description": "Client ID of your Microsoft developer application",
"title": "Client ID",
"type": "string"
},
"client_secret": {
"airbyte_secret": true,
"description": "Client Secret of your Microsoft developer application",
"title": "Client Secret",
"type": "string"
},
"tenant_id": {
"airbyte_secret": true,
"description": "Tenant ID of the Microsoft SharePoint user",
"title": "Tenant ID",
"type": "string"
},
"user_principal_name": {
"airbyte_secret": true,
"description": "Special characters such as a period, comma, space, and the at sign (@) are converted to underscores (_). More details: https://learn.microsoft.com/en-us/sharepoint/list-onedrive-urls",
"title": "User Principal Name",
"type": "string"
}
},
"required": [
"tenant_id",
"user_principal_name",
"client_id",
"client_secret"
],
"title": "Service Key Authentication",
"type": "object"
}
],
"order": 0,
"title": "Authentication",
"type": "object"
},
"delivery_method": {
"default": "use_records_transfer",
"display_type": "radio",
"group": "advanced",
"oneOf": [
{
"description": "Recommended - Extract and load structured records into your destination of choice. This is the classic method of moving data in Airbyte. It allows for blocking and hashing individual fields or files from a structured schema. Data can be flattened, typed and deduped depending on the destination.",
"properties": {
"delivery_type": {
"const": "use_records_transfer",
"default": "use_records_transfer",
"enum": [
"use_records_transfer"
],
"title": "Delivery Type",
"type": "string"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Records",
"type": "object"
},
{
"description": "Copy raw files without parsing their contents. Bits are copied into the destination exactly as they appeared in the source. Recommended for use with unstructured text data, non-text and compressed files.",
"properties": {
"delivery_type": {
"const": "use_file_transfer",
"default": "use_file_transfer",
"enum": [
"use_file_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"preserve_directory_structure": {
"default": true,
"description": "If enabled, sends subdirectory folder structure along with source file names to the destination. Otherwise, files will be synced by their names only. This option is ignored when file-based replication is not enabled.",
"title": "Preserve Sub-Directories in File Paths",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Copy Raw Files",
"type": "object"
},
{
"description": "Sends one identity stream and one for more permissions (ACL) streams to the destination. This data can be used in downstream systems to recreate permission restrictions mirroring the original source.",
"properties": {
"delivery_type": {
"const": "use_permissions_transfer",
"default": "use_permissions_transfer",
"enum": [
"use_permissions_transfer"
],
"title": "Delivery Type",
"type": "string"
},
"include_identities_stream": {
"default": true,
"description": "This data can be used in downstream systems to recreate permission restrictions mirroring the original source",
"title": "Include Identity Stream",
"type": "boolean"
}
},
"required": [
"delivery_type"
],
"title": "Replicate Permissions ACL",
"type": "object"
}
],
"order": 1,
"title": "Delivery Method",
"type": "object"
},
"file_contains_query": {
"description": "Input additional query to search files. It will make search files step faster if your Sharepoint account has a lot of files and folders. This query text will be used in the request that will look for files which properties contains inserted text. You can use multiple query texts, they will be applied in search request one by one.",
"items": {
"type": "string"
},
"order": 6,
"title": "File properties contains query text",
"type": "array"
},
"folder_path": {
"default": ".",
"description": "Path to a specific folder within the drives to search for files. Leave empty to search all folders of the drives. This does not apply to shared items.",
"order": 4,
"title": "Folder Path",
"type": "string"
},
"search_scope": {
"default": "ALL",
"description": "Specifies the location(s) to search for files. Valid options are 'ACCESSIBLE_DRIVES' for all SharePoint drives the user can access, 'SHARED_ITEMS' for shared items the user has access to, and 'ALL' to search both.",
"enum": [
"ACCESSIBLE_DRIVES",
"SHARED_ITEMS",
"ALL"
],
"order": 3,
"title": "Search Scope",
"type": "string"
},
"site_url": {
"default": "",
"description": "Url of SharePoint site to search for files. Leave empty to search in the main site. Use 'https://.sharepoint.com/sites/' to iterate over all sites.",
"order": 5,
"title": "Site URL",
"type": "string"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.",
"examples": [
"2021-01-01",
"2021-01-01T00:00:00Z",
"2021-01-01T00:00:00.000Z",
"2021-01-01T00:00:00.000000Z"
],
"format": "date-time",
"order": 1,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}(T[0-9]{2}:[0-9]{2}:[0-9]{2}(\\.[0-9]+)?(Z|[+-][0-9]{2}:[0-9]{2})?)?$",
"pattern_descriptor": "YYYY-MM-DD, YYYY-MM-DDTHH:mm:ssZ, or YYYY-MM-DDTHH:mm:ss.SSSSSSZ",
"title": "Start Date",
"type": "string"
},
"streams": {
"description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.",
"items": {
"properties": {
"days_to_sync_if_history_is_full": {
"default": 3,
"description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.",
"title": "Days To Sync If History Is Full",
"type": "integer"
},
"format": {
"description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.",
"oneOf": [
{
"properties": {
"double_as_string": {
"default": false,
"description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.",
"title": "Convert Double Fields to Strings",
"type": "boolean"
},
"filetype": {
"const": "avro",
"default": "avro",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Avro Format",
"type": "object"
},
{
"properties": {
"delimiter": {
"default": ",",
"description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.",
"title": "Delimiter",
"type": "string"
},
"double_quote": {
"default": true,
"description": "Whether two quotes in a quoted CSV value denote a single quote in the data.",
"title": "Double Quote",
"type": "boolean"
},
"encoding": {
"default": "utf8",
"description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.",
"title": "Encoding",
"type": "string"
},
"escape_char": {
"description": "The character used for escaping special characters. To disallow escaping, leave this field blank.",
"title": "Escape Character",
"type": "string"
},
"false_values": {
"default": [
"n",
"no",
"f",
"false",
"off",
"0"
],
"description": "A set of case-sensitive strings that should be interpreted as false values.",
"items": {
"type": "string"
},
"title": "False Values",
"type": "array",
"uniqueItems": true
},
"filetype": {
"const": "csv",
"default": "csv",
"title": "Filetype",
"type": "string"
},
"header_definition": {
"default": {
"header_definition_type": "From CSV"
},
"description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.",
"oneOf": [
{
"properties": {
"header_definition_type": {
"const": "From CSV",
"default": "From CSV",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "From CSV",
"type": "object"
},
{
"properties": {
"header_definition_type": {
"const": "Autogenerated",
"default": "Autogenerated",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"header_definition_type"
],
"title": "Autogenerated",
"type": "object"
},
{
"properties": {
"column_names": {
"description": "The column names that will be used while emitting the CSV records",
"items": {
"type": "string"
},
"title": "Column Names",
"type": "array"
},
"header_definition_type": {
"const": "User Provided",
"default": "User Provided",
"title": "Header Definition Type",
"type": "string"
}
},
"required": [
"column_names",
"header_definition_type"
],
"title": "User Provided",
"type": "object"
}
],
"title": "CSV Header Definition",
"type": "object"
},
"ignore_errors_on_fields_mismatch": {
"default": false,
"description": "Whether to ignore errors that occur when the number of fields in the CSV does not match the number of columns in the schema.",
"title": "Ignore errors on field mismatch",
"type": "boolean"
},
"null_values": {
"default": [],
"description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.",
"items": {
"type": "string"
},
"title": "Null Values",
"type": "array",
"uniqueItems": true
},
"quote_char": {
"default": "\"",
"description": "The character used for quoting CSV values. To disallow quoting, make this field blank.",
"title": "Quote Character",
"type": "string"
},
"skip_rows_after_header": {
"default": 0,
"description": "The number of rows to skip after the header row.",
"title": "Skip Rows After Header",
"type": "integer"
},
"skip_rows_before_header": {
"default": 0,
"description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.",
"title": "Skip Rows Before Header",
"type": "integer"
},
"strings_can_be_null": {
"default": true,
"description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.",
"title": "Strings Can Be Null",
"type": "boolean"
},
"true_values": {
"default": [
"y",
"yes",
"t",
"true",
"on",
"1"
],
"description": "A set of case-sensitive strings that should be interpreted as true values.",
"items": {
"type": "string"
},
"title": "True Values",
"type": "array",
"uniqueItems": true
}
},
"required": [
"filetype"
],
"title": "CSV Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "jsonl",
"default": "jsonl",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Jsonl Format",
"type": "object"
},
{
"properties": {
"decimal_as_float": {
"default": false,
"description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.",
"title": "Convert Decimal Fields to Floats",
"type": "boolean"
},
"filetype": {
"const": "parquet",
"default": "parquet",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Parquet Format",
"type": "object"
},
{
"description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.",
"properties": {
"filetype": {
"const": "unstructured",
"default": "unstructured",
"title": "Filetype",
"type": "string"
},
"processing": {
"default": {
"mode": "local"
},
"description": "Processing configuration",
"oneOf": [
{
"description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.",
"properties": {
"mode": {
"const": "local",
"default": "local",
"enum": [
"local"
],
"title": "Mode",
"type": "string"
}
},
"required": [
"mode"
],
"title": "Local",
"type": "object"
}
],
"title": "Processing",
"type": "object"
},
"skip_unprocessable_files": {
"always_show": true,
"default": true,
"description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.",
"title": "Skip Unprocessable Files",
"type": "boolean"
},
"strategy": {
"always_show": true,
"default": "auto",
"description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf",
"enum": [
"auto",
"fast",
"ocr_only",
"hi_res"
],
"order": 0,
"title": "Parsing Strategy",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Unstructured Document Format",
"type": "object"
},
{
"properties": {
"filetype": {
"const": "excel",
"default": "excel",
"title": "Filetype",
"type": "string"
}
},
"required": [
"filetype"
],
"title": "Excel Format",
"type": "object"
}
],
"title": "Format",
"type": "object"
},
"globs": {
"default": [
"**"
],
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"description": "Whether to join all channels or to sync data only from channels the bot is already in. If false, you''ll need to manually add the bot to all the channels from which you''d like to sync messages.",
"title": "Join all channels",
"type": "boolean"
},
"lookback_window": {
"default": 0,
"description": "How far into the past to look for messages in threads, default is 0 days",
"examples": [
7,
14
],
"maximum": 365,
"minimum": 0,
"title": "Threads Lookback window (Days)",
"type": "integer"
},
"num_workers": {
"default": 2,
"description": "The number of worker threads to use for the sync.",
"examples": [
2,
3
],
"maximum": 10,
"minimum": 2,
"order": 7,
"title": "Number of concurrent workers",
"type": "integer"
},
"start_date": {
"description": "UTC date and time in the format 2017-01-25T00:00:00Z. Any data before this date will not be replicated.",
"examples": [
"2017-01-25T00:00:00Z"
],
"format": "date-time",
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Start Date",
"type": "string"
}
},
"required": [
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"lookback_window",
"join_channels"
],
"title": "Slack Spec",
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
"suggestedStreams": {
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"channels",
"channel_members"
]
},
"supportLevel": "certified",
"supportsDataActivation": false,
"supportsFileTransfer": false,
"tags": [
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"tombstone": false
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"code": "{{ auth_code_value }}",
"redirect_uri": "{{ redirect_uri_value }}"
},
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"consent_url": "https://slack.com/oauth/v2/authorize?{{client_id_param}}&{{redirect_uri_param}}&{{state_param}}&{{scopes_param}}",
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{
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{
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{
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{
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"items": {
"minLength": 0,
"type": "string"
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"title": "Channel name filter",
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10,
5
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"minimum": 1,
"order": 8,
"title": "Channel messages date window size (in days)",
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{
"suite": "unitTests"
},
{
"suite": "acceptanceTests",
"testSecrets": [
{
"fileName": "connected_account_config.json",
"name": "SECRET_SOURCE-STRIPE_CONNECTED_ACCOUNT__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "config.json",
"name": "SECRET_SOURCE-STRIPE__CREDS",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
},
{
"fileName": "performance-config.json",
"name": "SECRET_SOURCE-STRIPE__PERFORMANCE",
"secretStore": {
"alias": "airbyte-connector-testing-secret-store",
"type": "GSM"
}
}
]
}
],
"custom": false,
"dockerImageTag": "5.15.21-rc.5",
"dockerRepository": "airbyte/source-stripe",
"documentationUrl": "https://docs.airbyte.com/integrations/sources/stripe",
"erdUrl": "https://dbdocs.io/airbyteio/source-stripe?view=relationships",
"externalDocumentationUrls": [
{
"title": "Stripe API reference",
"type": "api_reference",
"url": "https://stripe.com/docs/api"
},
{
"title": "API changelog",
"type": "api_release_history",
"url": "https://docs.stripe.com/changelog"
},
{
"title": "API upgrades",
"type": "api_release_history",
"url": "https://docs.stripe.com/upgrades"
},
{
"title": "Stripe API changelog",
"type": "api_release_history",
"url": "https://stripe.com/docs/upgrades"
},
{
"title": "Stripe authentication",
"type": "authentication_guide",
"url": "https://stripe.com/docs/api/authentication"
},
{
"title": "Stripe API OpenAPI specification",
"type": "openapi_spec",
"url": "https://github.com/stripe/openapi"
},
{
"title": "Stripe rate limits",
"type": "rate_limits",
"url": "https://stripe.com/docs/rate-limits"
},
{
"title": "Stripe Status",
"type": "status_page",
"url": "https://status.stripe.com/"
}
],
"generated": {
"git": {
"commit_author": "devin-ai-integration[bot]",
"commit_author_email": "158243242+devin-ai-integration[bot]@users.noreply.github.com",
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},
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},
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"icon": "stripe.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-stripe/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"maxSecondsBetweenMessages": 86400,
"name": "Stripe",
"packageInfo": {},
"public": true,
"releaseStage": "generally_available",
"releases": {
"breakingChanges": {
"4.0.0": {
"message": "Version 4.0.0 changes the cursors in most of the Stripe streams that support incremental sync mode. This is done to not only sync the data that was created since previous sync, but also the data that was modified. A schema refresh of all effected streams is required to use the new cursor format.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/stripe-migrations#4.0.0",
"upgradeDeadline": "2023-09-14"
},
"5.0.0": {
"message": "Version 5.0.0 introduces fixes for the `CheckoutSessions`, `CheckoutSessionsLineItems` and `Refunds` streams. The cursor field is changed for the `CheckoutSessionsLineItems` and `Refunds` streams. This will prevent data loss during incremental syncs. Also, the `Invoices`, `Subscriptions` and `SubscriptionSchedule` stream schemas have been updated.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/stripe-migrations#5.0.0",
"upgradeDeadline": "2023-12-11"
},
"5.4.0": {
"message": "Version 5.4.0 introduces fixes for the `Refunds` streams. The `Refunds`, which previously was `incremental` on the `creation date`, now tracks updates as well. In order to do that, the cursor field needs to be updated and a `resetting` is required to get the updates.",
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/stripe-migrations#5.4.0",
"scopedImpact": [
{
"impactedScopes": [
"refunds"
],
"scopeType": "stream"
}
],
"upgradeDeadline": "2024-07-14"
}
},
"migrationDocumentationUrl": "https://docs.airbyte.com/integrations/sources/stripe-migrations",
"rolloutConfiguration": {
"advanceDelayMinutes": 10,
"enableProgressiveRollout": true,
"initialPercentage": 0,
"maxPercentage": 50
}
},
"remoteRegistries": {
"pypi": {
"enabled": false,
"packageName": "airbyte-source-stripe"
}
},
"sourceDefinitionId": "e094cb9a-26de-4645-8761-65c0c425d1de",
"sourceType": "api",
"spec": {
"connectionSpecification": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"account_id": {
"description": "Your Stripe account ID (starts with 'acct_', find yours here).",
"order": 0,
"title": "Account ID",
"type": "string"
},
"api_retention_streams": {
"default": [],
"description": "Select streams where cursor age is validated against the Stripe API 30-day event retention period. When a selected stream's cursor is older than 30 days, the connector performs a full refresh to avoid missing data. Streams not selected here will always use incremental sync regardless of cursor age.",
"items": {
"enum": [
"accounts",
"application_fees",
"application_fees_refunds",
"authorizations",
"bank_accounts",
"cardholders",
"charges",
"checkout_sessions",
"coupons",
"credit_notes",
"customers",
"disputes",
"early_fraud_warnings",
"external_account_bank_accounts",
"external_account_cards",
"invoice_items",
"invoice_line_items",
"invoices",
"payment_intents",
"payment_methods",
"payouts",
"persons",
"plans",
"prices",
"products",
"promotion_codes",
"refunds",
"reviews",
"setup_intents",
"subscription_items",
"subscription_schedule",
"subscriptions",
"top_ups",
"transactions",
"transfers"
],
"type": "string"
},
"order": 7,
"title": "Streams with API Data Retention Validation",
"type": "array",
"uniqueItems": true
},
"call_rate_limit": {
"description": "The number of API calls per second that you allow connector to make. This value can not be bigger than real API call rate limit (https://stripe.com/docs/rate-limits). If not specified the default maximum is 25 calls per second for test/sandbox tokens and 100 for production tokens.",
"examples": [
25,
100
],
"title": "Max number of API calls per second",
"type": "integer"
},
"client_secret": {
"airbyte_secret": true,
"description": "Stripe API key (usually starts with 'sk_live_'; find yours here).",
"order": 1,
"title": "Secret Key",
"type": "string"
},
"lookback_window_days": {
"default": 0,
"description": "When set, the connector will always re-export data from the past N days, where N is the value set here. This is useful if your data is frequently updated after creation. The Lookback Window only applies to streams that do not support event-based incremental syncs: Events, SetupAttempts, ShippingRates, BalanceTransactions, Files, FileLinks, Refunds. More info here",
"minimum": 0,
"order": 3,
"title": "Lookback Window in days",
"type": "integer"
},
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"description": "The number of worker thread to use for the sync. The performance upper boundary depends on call_rate_limit setting and type of account.",
"examples": [
2,
3,
4
],
"maximum": 100,
"minimum": 2,
"order": 5,
"title": "Number of concurrent workers",
"type": "integer"
},
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"description": "The time increment used by the connector when requesting data from the Stripe API. The bigger the value is, the less requests will be made and faster the sync will be. On the other hand, the more seldom the state is persisted.",
"examples": [
1,
3,
10,
30,
180,
360
],
"minimum": 1,
"order": 4,
"title": "Data request time increment in days",
"type": "integer"
},
"start_date": {
"default": "2017-01-25T00:00:00Z",
"description": "UTC date and time in the format 2017-01-25T00:00:00Z. Only data generated after this date will be replicated.",
"examples": [
"2017-01-25T00:00:00Z"
],
"format": "date-time",
"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Replication start date",
"type": "string"
}
},
"required": [
"client_secret",
"account_id"
],
"title": "Stripe Source Spec",
"type": "object"
},
"supportsDBT": false,
"supportsNormalization": false
},
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"invoices",
"charges",
"subscriptions",
"refunds"
]
},
"supportLevel": "certified",
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"supportsFileTransfer": false,
"tags": [
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"language:manifest-only"
],
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}
},
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"initialPercentage": 0,
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}
},
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"packageName": "airbyte-source-stripe"
}
},
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"spec": {
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"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
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"description": "Your Stripe account ID (starts with 'acct_', find yours here).",
"order": 0,
"title": "Account ID",
"type": "string"
},
"api_retention_streams": {
"default": [],
"description": "Select streams where cursor age is validated against the Stripe API 30-day event retention period. When a selected stream's cursor is older than 30 days, the connector performs a full refresh to avoid missing data. Streams not selected here will always use incremental sync regardless of cursor age.",
"items": {
"enum": [
"accounts",
"application_fees",
"application_fees_refunds",
"authorizations",
"bank_accounts",
"cardholders",
"charges",
"checkout_sessions",
"coupons",
"credit_notes",
"customers",
"disputes",
"early_fraud_warnings",
"external_account_bank_accounts",
"external_account_cards",
"invoice_items",
"invoice_line_items",
"invoices",
"payment_intents",
"payment_methods",
"payouts",
"persons",
"plans",
"prices",
"products",
"promotion_codes",
"refunds",
"reviews",
"setup_intents",
"subscription_items",
"subscription_schedule",
"subscriptions",
"top_ups",
"transactions",
"transfers"
],
"type": "string"
},
"order": 7,
"title": "Streams with API Data Retention Validation",
"type": "array",
"uniqueItems": true
},
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"description": "The number of API calls per second that you allow connector to make. This value can not be bigger than real API call rate limit (https://stripe.com/docs/rate-limits). If not specified the default maximum is 25 calls per second for test/sandbox tokens and 100 for production tokens.",
"examples": [
25,
100
],
"title": "Max number of API calls per second",
"type": "integer"
},
"client_secret": {
"airbyte_secret": true,
"description": "Stripe API key (usually starts with 'sk_live_'; find yours here).",
"order": 1,
"title": "Secret Key",
"type": "string"
},
"lookback_window_days": {
"default": 0,
"description": "When set, the connector will always re-export data from the past N days, where N is the value set here. This is useful if your data is frequently updated after creation. The Lookback Window only applies to streams that do not support event-based incremental syncs: Events, SetupAttempts, ShippingRates, BalanceTransactions, Files, FileLinks, Refunds. More info here",
"minimum": 0,
"order": 3,
"title": "Lookback Window in days",
"type": "integer"
},
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"examples": [
2,
3,
4
],
"maximum": 100,
"minimum": 2,
"order": 5,
"title": "Number of concurrent threads",
"type": "integer"
},
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"description": "The time increment used by the connector when requesting data from the Stripe API. The bigger the value is, the less requests will be made and faster the sync will be. On the other hand, the more seldom the state is persisted.",
"examples": [
1,
3,
10,
30,
180,
360
],
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"order": 4,
"title": "Data request time increment in days",
"type": "integer"
},
"start_date": {
"default": "2017-01-25T00:00:00Z",
"description": "UTC date and time in the format 2017-01-25T00:00:00Z. Only data generated after this date will be replicated.",
"examples": [
"2017-01-25T00:00:00Z"
],
"format": "date-time",
"order": 2,
"pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
"title": "Replication start date",
"type": "string"
}
},
"required": [
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"account_id"
],
"title": "Stripe Source Spec",
"type": "object"
},
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"supportsNormalization": false
},
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"charges",
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]
},
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"supportsFileTransfer": false,
"tags": [
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],
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},
{
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"ql": 100,
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]
},
{
"suite": "acceptanceTests",
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"fileName": "config.json",
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],
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"documentationUrl": "https://docs.airbyte.com/integrations/sources/survey-sparrow",
"externalDocumentationUrls": [
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"title": "SurveySparrow API documentation",
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}
],
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"registry_entry_generated_at": "2025-11-19T02:47:04.602011"
}
},
"githubIssueLabel": "source-survey-sparrow",
"icon": "surveysparrow.svg",
"iconUrl": "https://connectors.airbyte.com/files/metadata/airbyte/source-survey-sparrow/latest/icon.svg",
"language": "manifest-only",
"license": "ELv2",
"name": "SurveySparrow",
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},
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"properties": {
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"order": 0,
"type": "string"
},
"region": {
"default": {
"properties": {
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"const": "https://api.surveysparrow.com/v3",
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}
},
"title": "Global account",
"type": "object"
},
"description": "Is your account location is EU based? If yes, the base url to retrieve data will be different.",
"oneOf": [
{
"properties": {
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}
},
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{
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}
},
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}
],
"order": 1,
"title": "Base URL",
"type": "object"
},
"survey_id": {
"description": "A List of your survey ids for survey-specific stream",
"order": 2,
"type": "array"
}
},
"required": [
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],
"type": "object"
},
"supportsDBT": false,
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},
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"tags": [
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},
{
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"ql": 200,
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},
"allowedHosts": {
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]
},
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},
{
"suite": "unitTests"
},
{
"suite": "acceptanceTests",
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},
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}
]
}
],
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"documentationUrl": "https://docs.airbyte.com/integrations/sources/surveymonkey",
"externalDocumentationUrls": [
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"title": "SurveyMonkey API reference",
"type": "api_reference",
"url": "https://developer.surveymonkey.com/api/v3/"
},
{
"title": "SurveyMonkey API Changelog",
"type": "api_release_history",
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},
{
"title": "SurveyMonkey authentication",
"type": "authentication_guide",
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},
{
"title": "SurveyMonkey rate limits",
"type": "rate_limits",
"url": "https://developer.surveymonkey.com/api/v3/#rate-limits"
}
],
"generated": {
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"commit_author_email": "158243242+devin-ai-integration[bot]@users.noreply.github.com",
"commit_sha": "74c52eee624dd6788edad810a0b17f0ab58511b4",
"commit_timestamp": "2026-02-24T10:51:16+00:00"
},
"sbomUrl": "https://connectors.airbyte.com/files/sbom/airbyte/source-surveymonkey/0.3.48.spdx.json",
"source_file_info": {
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"metadata_file_path": "metadata/airbyte/source-surveymonkey/latest/metadata.yaml",
"metadata_last_modified": "2026-02-24T10:57:33.879000+00:00",
"registry_entry_generated_at": "2026-02-24T10:58:41.894917"
}
},
"githubIssueLabel": "source-surveymonkey",
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},
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"releaseStage": "generally_available",
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},
"sourceDefinitionId": "badc5925-0485-42be-8caa-b34096cb71b5",
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