# MongoDB For context on getting started with ingestion, check out our [metadata ingestion guide](../README.md). ## Setup To install this plugin, run `pip install 'acryl-datahub[mongodb]'`. ## Capabilities This plugin extracts the following: - Databases and associated metadata - Collections in each database and schemas for each collection (via schema inference) By default, schema inference samples 1,000 documents from each collection. Setting `schemaSamplingSize: null` will scan the entire collection. Moreover, setting `useRandomSampling: False` will sample the first documents found without random selection, which may be faster for large collections. Note that `schemaSamplingSize` has no effect if `enableSchemaInference: False` is set. Really large schemas will be further truncated to a maximum of 300 schema fields. This is configurable using the `maxSchemaSize` parameter. ## Quickstart recipe Check out the following recipe to get started with ingestion! See [below](#config-details) for full configuration options. For general pointers on writing and running a recipe, see our [main recipe guide](../README.md#recipes). ```yml source: type: "mongodb" config: # Coordinates connect_uri: "mongodb://localhost" # Credentials username: admin password: password authMechanism: "DEFAULT" # Options enableSchemaInference: True useRandomSampling: True maxSchemaSize: 300 sink: # sink configs ``` ## Config details Note that a `.` is used to denote nested fields in the YAML recipe. | Field | Required | Default | Description | | -------------------------- | -------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------ | | `connect_uri` | | `"mongodb://localhost"` | MongoDB connection URI. | | `username` | | | MongoDB username. | | `password` | | | MongoDB password. | | `authMechanism` | | | MongoDB authentication mechanism. See https://pymongo.readthedocs.io/en/stable/examples/authentication.html for details. | | `options` | | | Additional options to pass to `pymongo.MongoClient()`. | | `enableSchemaInference` | | `True` | Whether to infer schemas. | | `schemaSamplingSize` | | `1000` | Number of documents to use when inferring schema size. If set to `0`, all documents will be scanned. | | `maxSchemaSize` | | `300` | Maximum number of fields to include in the schema. | | `useRandomSampling` | | `True` | If documents for schema inference should be randomly selected. If `False`, documents will be selected from start. | | `env` | | `"PROD"` | Environment to use in namespace when constructing URNs. | | `database_pattern.allow` | | | List of regex patterns for databases to include in ingestion. | | `database_pattern.deny` | | | List of regex patterns for databases to exclude from ingestion. | | `database_pattern.ignoreCase` | | `True` | Whether to ignore case sensitivity during pattern matching. | | `collection_pattern.allow` | | | List of regex patterns for collections to include in ingestion. | | `collection_pattern.deny` | | | List of regex patterns for collections to exclude from ingestion. | | `collection_pattern.ignoreCase` | | `True` | Whether to ignore case sensitivity during pattern matching. | ## Compatibility Coming soon! ## Questions If you've got any questions on configuring this source, feel free to ping us on [our Slack](https://slack.datahubproject.io/)!