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Create a Databricks Data Source

Databricks data source API reference guide

The databricks endpoint allows you to connect and manage Databricks data sources in Immuta.

Additional fields may be included in some responses you receive; however, these attributes are for internal purposes and are therefore undocumented.

Requirements

Databricks Spark integration

When exposing a table or view from an Immuta-enabled Databricks cluster, be sure that at least one of these traits is true:

  • The user exposing the tables has READ_METADATA and SELECT permissions on the target views/tables (specifically if Table ACLs are enabled).

  • The user exposing the tables is listed in the immuta.spark.acl.whitelist configuration on the target cluster.

  • The user exposing the tables is a Databricks workspace administrator.

Databricks Unity Catalog integration

When registering Databricks Unity Catalog securables in Immuta, use the service principal from the integration configuration and ensure it has the privileges listed below. Immuta uses this service principal continuously to orchestrate Unity Catalog policies and maintain state between Immuta and Databricks.

  • USE CATALOG and MANAGE on all catalogs containing securables registered as Immuta data sources.

  • USE SCHEMA on all schemas containing securables registered as Immuta data sources.

  • MODIFY and SELECT on all securables you want registered as Immuta data sources.

MANAGE and MODIFY are required so that the service principal can apply row filters and column masks on the securable; to do so, the service principal must also have SELECT on the securable as well as USE CATALOG on its parent catalog and USE SCHEMA on its parent schema. Since privileges are inherited, you can grant the service principal the MODIFY and SELECT privilege on all catalogs or schemas containing Immuta data sources, which automatically grants the service principal the MODIFY and SELECT privilege on all current and future securables in the catalog or schema. The service principal also inherits MANAGE from the parent catalog for the purpose of applying row filters and column masks, but that privilege must be set directly on the parent catalog in order for grants to be fully applied.

Azure Databricks Unity Catalog limitation

Set all table-level ownership on your Unity Catalog data sources to an individual user or service principal instead of a Databricks group before proceeding. Otherwise, Immuta cannot apply data policies to the table in Unity Catalog. See the Azure Databricks Unity Catalog limitation for details.

Databricks workflow

  1. Create a data source.

  2. Get information about a data source.

  3. Manage data sources.

Create a data source

POST /databricks/handler

Save the provided connection information as a data source.

Payload parameters

Attribute
Description
Required

private

boolean When false, the data source will be publicly available in the Immuta UI.

Yes

blobHandler

array[object] A list of full URLs providing the locations of all blob store handlers to use with this data source.

Yes

blobHandlerType

string Describes the type of underlying blob handler that will be used with this data source (e.g., MS SQL).

Yes

recordFormat

string The data format of blobs in the data source, such as json, xml, html, or jpeg.

Yes

type

string The type of data source: ingested (metadata will exist in Immuta) or queryable (metadata is dynamically queried).

Yes

name

string The name of the data source. It must be unique within the Immuta tenant.

Yes

sqlTableName

string A string that represents this data source's table in Immuta.

Yes

organization

string The organization that owns the data source.

Yes

category

string The category of the data source.

No

description

string The description of the data source.

No

hasExamples

boolean When true, the data source contains examples.

No

Response parameters

Attribute
Description

id

integer The handler ID.

dataSourceId

integer The ID of the data source.

warnings

string This message describes issues with the created data source, such as the data source being unhealthy.

connectionString

string The connection string used to connect the data source to Immuta.

Request example

This request creates two Databricks data sources.

curl \
    --request POST \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer dea464c07bd07300095caa8" \
    --data @example-payload.json \
    https://demo.immuta.com/databricks/handler

Payload example

{
  "handler": [{
    "metadata": {
      "ssl": true,
      "userFiles": [],
      "authenticationMethod": "Access Token",
      "password": "your-password",
      "port": 443,
      "hostname": "your-hostname.cloud.databricks.com",
      "database": "default",
      "httpPath": "sql/your/http/0/path",
      "schemaProjectName": "Default",
      "staleDataTolerance": 86400,
      "bodataSchemaName": "default",
      "bodataTableName": "applicant_data",
      "dataSourceName": "Default Applicant Data",
      "table": "applicant_data",
      "schema": "default"
    }
  }, {
    "metadata": {
      "ssl": true,
      "userFiles": [],
      "authenticationMethod": "Access Token",
      "password": "your-password",
      "port": 443,
      "hostname": "your-hostname.cloud.databricks.com",
      "database": "default",
      "httpPath": "sql/your/http/0/path",
      "schemaProjectName": "Default",
      "staleDataTolerance": 86400,
      "bodataSchemaName": "default",
      "bodataTableName": "cities",
      "dataSourceName": "Default Cities",
      "table": "cities",
      "schema": "default"
    }
  }],
  "dataSource": {
    "blobHandler": {
      "scheme": "https",
      "url": ""
    },
    "blobHandlerType": "Databricks",
    "recordFormat": "",
    "type": "queryable",
    "schemaEvolutionId": null,
    "columnEvolutionEnabled": true
  },
  "schemaEvolution": {
    "ownerProfileId": 2,
    "config": {
      "nameTemplate": {
        "nameFormat": "<Schema> <Tablename>",
        "tableFormat": "<tablename>",
        "sqlSchemaNameFormat": "<schema>",
        "schemaProjectNameFormat": "<Schema>"
      }
    },
    "schemas": []
  }
}

Response example

{
  "connectionString": "your-hostname.cloud.databricks.com:443/default"
}

Get information about a data source

GET /databricks/handler/{handlerId}

Get the handler metadata associated with the provided handler ID.

Query parameters

Attribute
Description
Required

handlerId

integer The ID of the handler.

Yes

skipCache

boolean When true, will skip the handler cache when retrieving metadata.

No

Response parameters

Attribute
Description

body

array[object] Metadata about the data source, including the data source ID, schema, database, and connection string.

Request example

This request returns metadata for the handler with the ID 48.

curl \
    --request GET \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer dea464c07bd07300095caa8" \
    https://demo.immuta.com/databricks/handler/48

Response example

{
  "dataSourceId": 49,
  "metadata": {
    "ssl": true,
    "port": 443,
    "paths": ["/user/hive/warehouse/cities"],
    "query": null,
    "table": "cities",
    "schema": "default",
    "scheme": "dbfs",
    "database": "default",
    "hostname": "your-hostname.cloud.databricks.com",
    "httpPath": "sql/your/http/0/path",
    "pathUris": ["dbfs:/user/hive/warehouse/cities"],
    "ephemeral": true,
    "eventTime": null,
    "userFiles": [],
    "clusterName": null,
    "dataSourceName": "Default Cities",
    "bodataTableName": "cities",
    "metastoreTables": ["default.cities"],
    "bodataSchemaName": "default",
    "columnsNormalized": false,
    "schemaProjectName": "Default",
    "staleDataTolerance": 86400,
    "authenticationMethod": "Access Token"
  },
  "type": "queryable",
  "connectionString": "your-hostname.cloud.databricks.com:443/default",
  "id": 48,
  "createdAt": "2021-10-06T17:53:09.640Z",
  "updatedAt": "2021-10-06T17:53:09.882Z",
  "dbms": {
    "name": "databricks"
  }
}

Manage data sources

Method
Path
Purpose

PUT

/databricks/handler/{handlerId}

Update the data source metadata associated with the provided handler ID. This endpoint does not perform partial updates, but will allow the dictionary to be omitted. In this case, it uses the current dictionary.

PUT

/databricks/bulk

Update the data source metadata associated with the provided connection string.

PUT

/databricks/handler/{handlerId}/triggerHighCardinalityJob

Recalculate the high cardinality column for the specified data source.

Update a specific data source

PUT /databricks/handler/{handlerId}

Update the data source metadata associated with the provided handler ID. This endpoint does not perform partial updates, but will allow the dictionary to be omitted. In this case, it uses the current dictionary.

Query parameters

Attribute
Description
Required

handlerId

integer The ID of the handler.

Yes

skipCache

boolean When true, will skip the handler cache when retrieving metadata.

No

Payload parameters

Attribute
Description
Required

handler

metadata Includes metadata about the handler, such as ssl, port, database, hostname, username, and password.

Yes

connectionString

string The connection string used to connect to the data source.

Yes

Response parameters

Attribute
Description

id

integer The ID of the handler.

ca

string The certificate authority.

columns

array[object] This is a Data Dictionary object, which provides metadata about the columns in the data source, including the name and data type of the column.

Request example

This request updates the metadata for the data source with the handler ID 48.

curl \
    --request PUT \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer dea464c07bd07300095caa8" \
    --data @example-payload.json \
    https://demo.immuta.com/databricks/handler/48

Payload example

The payload below updates the dataSourceName to Cities.

{
  "handler": {
    "policyHandler": null,
    "dataSourceId": 49,
    "metadata": {
      "ssl": true,
      "port": 443,
      "paths": ["/user/hive/warehouse/cities"],
      "table": "cities",
      "schema": "default",
      "scheme": "dbfs",
      "database": "default",
      "hostname": "your-hostname.cloud.databricks.com",
      "httpPath": "sql/your/http/0/path",
      "pathUris": ["dbfs:/user/hive/warehouse/cities"],
      "ephemeral": true,
      "eventTime": null,
      "userFiles": [],
      "clusterName": null,
      "dataSourceName": "Cities",
      "bodataTableName": "cities",
      "metastoreTables": ["default.cities"],
      "bodataSchemaName": "default",
      "columnsNormalized": false,
      "schemaProjectName": "Default",
      "staleDataTolerance": 86400,
      "authenticationMethod": "Access Token",
      "columns": [{
        "name": "OBJECTID",
        "dataType": "bigint",
        "remoteType": "bigint",
        "nullable": true
      }, {
        "name": "URBID",
        "dataType": "bigint",
        "remoteType": "bigint",
        "nullable": true
      }, {
        "name": "LIGHTDCW",
        "dataType": "bigint",
        "remoteType": "bigint",
        "nullable": true
      }, {
        "name": "ES90POP",
        "dataType": "double precision",
        "remoteType": "double",
        "nullable": true
      }, {
        "name": "ES95POP",
        "dataType": "double precision",
        "remoteType": "double",
        "nullable": true
      }, {
        "name": "ES00POP",
        "dataType": "double precision",
        "remoteType": "double",
        "nullable": true
      }, {
        "name": "PCOUNT",
        "dataType": "bigint",
        "remoteType": "bigint",
        "nullable": true
      }, {
        "name": "SCHNM",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }, {
        "name": "NAME",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }, {
        "name": "SQKM_FINAL",
        "dataType": "double precision",
        "remoteType": "double",
        "nullable": true
      }, {
        "name": "ISO3",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }, {
        "name": "ISOURBID",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }, {
        "name": "REMOVED_PO",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }, {
        "name": "ADDED_POIN",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }, {
        "name": "YEAR_V1_01",
        "dataType": "double precision",
        "remoteType": "double",
        "nullable": true
      }, {
        "name": "POP_V1_01",
        "dataType": "double precision",
        "remoteType": "double",
        "nullable": true
      }, {
        "name": "Unsdcode",
        "dataType": "bigint",
        "remoteType": "bigint",
        "nullable": true
      }, {
        "name": "Countryeng",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }, {
        "name": "Continent",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }, {
        "name": "geometry",
        "dataType": "struct",
        "remoteType": "struct<__geom__:bigint,_is_empty:boolean,_ndim:bigint>",
        "nullable": true,
        "children": [{
          "name": "__geom__",
          "dataType": "bigint"
        }, {
          "name": "_is_empty",
          "dataType": "boolean"
        }, {
          "name": "_ndim",
          "dataType": "bigint"
        }]
      }, {
        "name": "wkt",
        "dataType": "text",
        "remoteType": "string",
        "nullable": true
      }],
      "password": "your-password"
    },
    "type": "queryable",
    "connectionString": "dbc-d3fe40ca-b4fb.cloud.databricks.com:443/default",
    "id": 48,
    "createdAt": "2021-10-06T17:53:09.640Z",
    "updatedAt": "2021-10-06T17:53:09.882Z",
    "dbms": {
      "name": "databricks"
    }
  }
}

Response example

{
  "id": 48,
  "ca": ["-----BEGIN CERTIFICATE-----\ncertificatedata\n-----END CERTIFICATE-----"],
  "metadata": {
    "columns": [{
      "name": "OBJECTID",
      "dataType": "bigint",
      "remoteType": "bigint",
      "nullable": true
    }, {
      "name": "URBID",
      "dataType": "bigint",
      "remoteType": "bigint",
      "nullable": true
    }, {
      "name": "LIGHTDCW",
      "dataType": "bigint",
      "remoteType": "bigint",
      "nullable": true
    }, {
      "name": "ES90POP",
      "dataType": "double precision",
      "remoteType": "double",
      "nullable": true
    }, {
      "name": "ES95POP",
      "dataType": "double precision",
      "remoteType": "double",
      "nullable": true
    }, {
      "name": "ES00POP",
      "dataType": "double precision",
      "remoteType": "double",
      "nullable": true
    }, {
      "name": "PCOUNT",
      "dataType": "bigint",
      "remoteType": "bigint",
      "nullable": true
    }, {
      "name": "SCHNM",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }, {
      "name": "NAME",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }, {
      "name": "SQKM_FINAL",
      "dataType": "double precision",
      "remoteType": "double",
      "nullable": true
    }, {
      "name": "ISO3",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }, {
      "name": "ISOURBID",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }, {
      "name": "REMOVED_PO",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }, {
      "name": "ADDED_POIN",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }, {
      "name": "YEAR_V1_01",
      "dataType": "double precision",
      "remoteType": "double",
      "nullable": true
    }, {
      "name": "POP_V1_01",
      "dataType": "double precision",
      "remoteType": "double",
      "nullable": true
    }, {
      "name": "Unsdcode",
      "dataType": "bigint",
      "remoteType": "bigint",
      "nullable": true
    }, {
      "name": "Countryeng",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }, {
      "name": "Continent",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }, {
      "name": "geometry",
      "dataType": "struct",
      "remoteType": "struct<__geom__:bigint,_is_empty:boolean,_ndim:bigint>",
      "nullable": true,
      "children": [{
        "name": "__geom__",
        "dataType": "bigint"
      }, {
        "name": "_is_empty",
        "dataType": "boolean"
      }, {
        "name": "_ndim",
        "dataType": "bigint"
      }]
    }, {
      "name": "wkt",
      "dataType": "text",
      "remoteType": "string",
      "nullable": true
    }]
  }
}

Update multiple data sources

PUT /databricks/bulk

Update the data source metadata associated with the provided connection string.

Payload parameters

Attribute
Description
Required

handler

metadata Includes metadata about the handler, such as ssl, port, database, hostname, username, and password.

Yes

connectionString

string The connection string used to connect to the data sources.

Yes

Response parameters

Attribute
Description

bulkId

string The ID of the bulk data source update.

connectionString

string The connection string shared by the data sources bulk updated.

jobsCreated

integer The number of jobs that ran to update the data sources; this number corresponds to the number of data sources updated.

Request example

This request updates the metadata for all data sources with the connection string specified in example-payload.json.

curl \
    --request PUT \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer dea464c07bd07300095caa8" \
    --data @example-payload.json \
    https://demo.immuta.com/databricks/bulk

Payload example

The payload below adds a certificate (certificate.json) to connect to the data sources with the provided connection.

{
  "handler": {
    "metadata": {
      "ssl": true,
      "port": 443,
      "database": "default",
      "hostname": "your-hostname.cloud.databricks.com",
      "userFiles": [{
        "keyName": "test",
        "filename": "6dc06a3310b9ba33c543e483d1e745b3ac9bc648.json",
        "userFilename": "certificate.json"
      }],
      "authenticationMethod": "Access Token",
      "password": "your-password",
      "httpPath": "sql/your/http/0/path"
    }
  },
  "connectionString": "your-hostname.cloud.databricks.com:443/default/default"
}

Response example

{
  "bulkId": "bulk_ds_update_9ae5bfd85a3a47a8b454c618043e2aa3",
  "connectionString": "your-hostname.cloud.databricks.com:443/default",
  "jobsCreated": 2
}

Recalculate the high cardinality column for a data source

PUT /databricks/handler/{handlerId}/triggerHighCardinalityJob

Recalculate the high cardinality column for the specified data source.

Query parameters

Attribute
Description
Required

handlerId

integer The ID of the handler.

Yes

Response parameters

The response returns a string of characters that identify the high cardinality job run.

Request example

This request re-runs the job that calculates the high cardinality column for the data source with the handler ID 47.

curl \
    --request PUT \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer dea464c07bd07300095caa8" \
    https://demo.immuta.com/databricks/handler/47/triggerHighCardinalityJob

Response example

f6ac1ad0-26d0-11ec-8078-d36bbf5b90fb
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