Google Cloud SQL

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Users and security

Create a database user that can connect Cloud SQL to Looker. In the following commands, change some_password_here to a unique, secure password, and grant SELECT privileges to the database you want Looker to query:

CREATE USER looker;
SET PASSWORD FOR looker = PASSWORD ('some_password_here');
GRANT SELECT ON database_name.* TO looker;

Connecting the database

In the Admin section of Looker, select Connections, and then click Add Connection.

Fill out the connection details (see the Connecting Looker to your database documentation page for more information):

  • Dialect: Google Cloud SQL.
  • Host: The database hostname used to connect to the Google Cloud SQL database. For an SSH tunnel, use localhost.
  • Port: The port used to connect to the Google Cloud SQL database.
  • Database: The name of the Google Cloud SQL database instance.
  • Username: The username of the account Looker will use to log in to Google Cloud SQL.
  • Password: The password of the account Looker will use to log in to Google Cloud SQL.
  • Additional Params: Additional JDBC Parameters (optional).
  • SSL: If checked, enables an SSL connection; however, SSL connections to Google Cloud SQL are not supported by default.

    Google Cloud SQL requires additional steps for configuring SSL connections; see Configuring SSL/TLS certificates. Google Cloud SQL creates a server certificate on the creation of each instance, so the custom certificate must be installed on the Looker server for successful SSL connections. This option is available only for customer-hosted Looker deployments that have access to the Looker server.

    Because of this requirement, a better alternative to SSL is to connect Looker to Google Cloud SQL through a Cloud SQL Proxy and an SSH tunnel.

  • Verify SSL: If checked, SSL verification is enforced. However, SSL connections to Google Cloud are not supported by default.

PDT support

Google Cloud SQL does not support CREATE TABLE AS SELECT statements, so you must use the create_process LookML parameter to define PDTs.

Feature support

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

Google Cloud SQL 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
No
Stable Views
No
Query Killing
Yes
Pivots
Yes
Timezones
Yes
SSL
Yes
Subtotals
Yes
JDBC Additional Params
Yes
Case Sensitive
No
Location Type
Yes
List Type
Yes
Percentile
Yes
Distinct Percentile
Yes
SQL Runner Show Processes
Yes
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

Next steps

After you have created your database connection, set authentication options.