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# 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/)!