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The CData JDBC Driver for Lakebase integrates Lakebase data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Lakebase data through the connection manager and execute queries.
You can use the connection manager to define connection properties and save them in a new JDBC data source. The Lakebase data source can then be accessed from Aqua Data Studio tools.
URL: Enter the JDBC URL, which starts with jdbc:lakebase: and is followed by a semicolon-separated list of connection properties.
To connect to Databricks Lakebase, start by setting the following properties:To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:
For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.
To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:
For more information, refer to the Help documentation.
For assistance in constructing the JDBC URL, use the connection string designer built into the Lakebase JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.lakebase.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)jdbc:lakebase:DatabricksInstance=lakebase;Server=127.0.0.1;Port=5432;Database=my_database;InitiateOAuth=GETANDREFRESH;
You can now query the tables exposed.
👁 A query executed in the Table Data Editor. (QuickBooks is shown.)Download a free trial of the Lakebase Driver to get started:
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