Apache Spark

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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 click Add Connection. See the Connecting Looker to your database documentation page for more information.

Fill out the page as follows:

  • Name: The name of the connection. This is how the connection will be referred to in the LookML model.
  • Dialect: Select Apache Spark 1.5+, Apache Spark 2+, or Apache Spark 3+.
  • Host:Port: The Thrift server host and port (10000 by default).
  • Database: The default schema/database that will be modeled. When no database is specified for a table, this will be assumed.
  • Username: The user that Looker will authenticate as.
  • Password: The optional password for Looker user.
  • Persistent Derived Tables: Check this if you will be using PDTs with Looker.
  • Temp Database: A temporary schema/database for storing PDTs. It must be created beforehand, with a statement such as CREATE SCHEMA looker_scratch;.
  • Additional Params: Add any additional Hive JDBC parameters here, such as: ;spark.sql.inMemoryColumnarStorage.compressed=true
    ;auth=noSasl
  • SSL: Leave this unchecked.
  • Database Time Zone: The time zone of data stored in Spark. Usually it can be left blank or set to UTC.
  • Query Time Zone: The time zone to display data queried in Looker.

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.

Apache Spark 1.5+

Apache Spark 1.5+ supports the following features as of Looker 23.4:

Feature Supported?
Support Level
Integration
Symmetric Aggregates
Yes
Derived Tables
Yes
Persistent SQL Derived Tables
Yes
Persistent Native Derived Tables
Yes
Stable Views
Yes
Query Killing
Yes
Pivots
Yes
Timezones
Yes
SSL
Yes
Subtotals
Yes
JDBC Additional Params
Yes
Case Sensitive
Yes
Location Type
Yes
List Type
Yes
Percentile
Yes
Distinct Percentile
No
SQL Runner Show Processes
No
SQL Runner Describe Table
Yes
SQL Runner Show Indexes
Yes
SQL Runner Select 10
Yes
SQL Runner Count
Yes
SQL Explain
Yes
Oauth Credentials
No
Context Comments
Yes
Connection Pooling
No
HLL Sketches
No
Aggregate Awareness
Yes
Incremental PDTs
No
Milliseconds
Yes
Microseconds
Yes
Materialized Views
No
Approximate Count Distinct
No

Apache Spark 2.0

Apache Spark 2.0 supports the following features as of Looker 23.4:

Feature Supported?
Support Level
Supported
Symmetric Aggregates
Yes
Derived Tables
Yes
Persistent SQL Derived Tables
Yes
Persistent Native Derived Tables
Yes
Stable Views
Yes
Query Killing
Yes
Pivots
Yes
Timezones
Yes
SSL
Yes
Subtotals
Yes
JDBC Additional Params
Yes
Case Sensitive
Yes
Location Type
Yes
List Type
Yes
Percentile
Yes
Distinct Percentile
No
SQL Runner Show Processes
No
SQL Runner Describe Table
Yes
SQL Runner Show Indexes
No
SQL Runner Select 10
Yes
SQL Runner Count
Yes
SQL Explain
Yes
Oauth Credentials
No
Context Comments
Yes
Connection Pooling
No
HLL Sketches
No
Aggregate Awareness
Yes
Incremental PDTs
No
Milliseconds
Yes
Microseconds
Yes
Materialized Views
No
Approximate Count Distinct
No

Apache Spark 3+

Apache Spark 3+ supports the following features as of Looker 23.4:

Feature Supported?
Support Level
Supported
Symmetric Aggregates
Yes
Derived Tables
Yes
Persistent SQL Derived Tables
Yes
Persistent Native Derived Tables
Yes
Stable Views
Yes
Query Killing
Yes
Pivots
Yes
Timezones
Yes
SSL
Yes
Subtotals
Yes
JDBC Additional Params
Yes
Case Sensitive
Yes
Location Type
Yes
List Type
Yes
Percentile
Yes
Distinct Percentile
No
SQL Runner Show Processes
No
SQL Runner Describe Table
Yes
SQL Runner Show Indexes
No
SQL Runner Select 10
Yes
SQL Runner Count
Yes
SQL Explain
Yes
Oauth Credentials
No
Context Comments
Yes
Connection Pooling
No
HLL Sketches
No
Aggregate Awareness
Yes
Incremental PDTs
No
Milliseconds
Yes
Microseconds
Yes
Materialized Views
No
Approximate Count Distinct
No

Next steps

After you have created the connection, set authentication options.