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Apache Spark

Looker connects to Apache Spark through a JDBC connection to the Spark Thrift Server.

Connecting Looker to Apache Spark

Configure a database connection via the Looker interface. From the Admin section, select Connections, and then select New Connection. See the Connecting Looker to your database documentation page for more information.

Fill out the page as follows:

Click Test These Settings to test the connection and make sure that it is configured correctly. If you see Can Connect, then press Add Connection. This runs the rest of the connection tests to verify that the service account was set up correctly and with the proper roles.

For more information about connection settings, see the Connecting Looker to your database documentation page.

Feature support

For Looker to support some features, your database dialect must also support them.

In the latest version of Looker, Apache Spark 1.5+ supports the following Looker features:

In the latest version of Looker, Apache Spark 2.0 supports the following Looker features:

In the latest version of Looker, Apache Spark 3+ supports the following Looker features:

Next steps

After you have created the connection, set authentication options.

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