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78 lines
3.3 KiB
Markdown
78 lines
3.3 KiB
Markdown
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---
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title: Databricks
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slug: /connectors/database/databricks
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---
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{% connectorDetailsHeader
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name="Databricks"
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stage="PROD"
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platform="OpenMetadata"
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availableFeatures=["Metadata", "Query Usage", "Lineage", "Column-level Lineage", "Data Profiler", "Data Quality", "dbt", "Tags"]
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unavailableFeatures=["Owners", "Stored Procedures"]
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/ %}
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{% note %}
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As per the [documentation](https://docs.databricks.com/en/data-governance/unity-catalog/tags.html#manage-tags-with-sql-commands) here, note that we only support metadata `tag` extraction for databricks version 13.3 version and higher.
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{% /note %}
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In this section, we provide guides and references to use the Databricks connector.
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Configure and schedule Databricks metadata and profiler workflows from the OpenMetadata UI:
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- [Unity Catalog](#unity-catalog)
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- [Metadata Ingestion](#metadata-ingestion)
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- [Query Usage](/connectors/ingestion/workflows/usage)
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- [Data Profiler](/connectors/ingestion/workflows/profiler)
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- [Data Quality](/connectors/ingestion/workflows/data-quality)
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- [Lineage](/connectors/ingestion/lineage)
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- [dbt Integration](/connectors/ingestion/workflows/dbt)
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{% partial file="/v1.4/connectors/ingestion-modes-tiles.md" variables={yamlPath: "/connectors/database/databricks/yaml"} /%}
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{% partial file="/v1.4/connectors/external-ingestion-deployment.md" /%}
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## Unity Catalog
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If you are using unity catalog in Databricks, then checkout the [Unity Catalog](/connectors/database/unity-catalog) connector.
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## Metadata Ingestion
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{% partial
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file="/v1.4/connectors/metadata-ingestion-ui.md"
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variables={
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connector: "Databricks",
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selectServicePath: "/images/v1.4/connectors/databricks/select-service.png",
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addNewServicePath: "/images/v1.4/connectors/databricks/add-new-service.png",
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serviceConnectionPath: "/images/v1.4/connectors/databricks/service-connection.png",
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}
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/%}
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{% stepsContainer %}
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{% extraContent parentTagName="stepsContainer" %}
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#### Connection Details
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- **Host and Port**: Enter the fully qualified hostname and port number for your Databricks deployment in the Host and Port field.
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- **Token**: Generated Token to connect to Databricks.
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- **HTTP Path**: Databricks compute resources URL.
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- **connectionTimeout**: The maximum amount of time (in seconds) to wait for a successful connection to the data source. If the connection attempt takes longer than this timeout period, an error will be returned.
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- **Catalog**: Catalog of the data source(Example: hive_metastore). This is optional parameter, if you would like to restrict the metadata reading to a single catalog. When left blank, OpenMetadata Ingestion attempts to scan all the catalog.
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- **DatabaseSchema**: databaseSchema of the data source. This is optional parameter, if you would like to restrict the metadata reading to a single databaseSchema. When left blank, OpenMetadata Ingestion attempts to scan all the databaseSchema.
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{% partial file="/v1.4/connectors/database/advanced-configuration.md" /%}
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{% /extraContent %}
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{% partial file="/v1.4/connectors/test-connection.md" /%}
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{% partial file="/v1.4/connectors/database/configure-ingestion.md" /%}
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{% partial file="/v1.4/connectors/ingestion-schedule-and-deploy.md" /%}
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{% /stepsContainer %}
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{% partial file="/v1.4/connectors/troubleshooting.md" /%}
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{% partial file="/v1.4/connectors/database/related.md" /%}
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