# BigQuery 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[bigquery]'`. ## Capabilities This plugin extracts the following: - Metadata for databases, schemas, and tables - Column types associated with each table - Table, row, and column statistics via optional [SQL profiling](./sql_profiles.md) - Table level lineage. :::tip You can also get fine-grained usage statistics for BigQuery using the `bigquery-usage` source described below. ::: ## 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: bigquery config: # Coordinates project_id: my_project_id sink: # sink configs ``` ## Config details Note that a `.` is used to denote nested fields in the YAML recipe. As a SQL-based service, the Athena integration is also supported by our SQL profiler. See [here](./sql_profiles.md) for more details on configuration. | Field | Required | Default | Description | | --------------------------- | -------- | ------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `project_id` | | Autodetected | Project ID to ingest from. If not specified, will infer from environment. | | `env` | | `"PROD"` | Environment to use in namespace when constructing URNs. | | `options.