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⇱ Connect to Databricks Data in Aqua Data Studio

Connect to Databricks Data in Aqua Data Studio

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Access Databricks data from tools in Aqua Data Studio such as the Visual Query Builder and the Table Data Editor.

The CData JDBC Driver for Databricks integrates Databricks data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Databricks data through the connection manager and execute queries.

About Databricks Data Integration

Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:

  • Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
  • Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
  • Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
  • Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.

While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.

Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.


Getting Started


Create a JDBC Data Source

You can use the connection manager to define connection properties and save them in a new JDBC data source. The Databricks data source can then be accessed from Aqua Data Studio tools.

  1. In Aqua Data Studio, select Register Server from the Servers menu.
  2. In the Register Server form, select the 'Generic - JDBC' connection.
  3. Enter the following JDBC connection properties:
    • Name: Enter a name for the data source; for example, Databricks.
    • Driver Location: Click the Browse button and select the cdata.jdbc.databricks.jar file, located in the lib subfolder of the installation directory.
    • Driver: Enter the Driver's class name, cdata.jdbc.databricks.DatabricksDriver.

    • URL: Enter the JDBC URL, which starts with jdbc:databricks: and is followed by a semicolon-separated list of connection properties.

      To connect to a Databricks cluster, set the properties as described below.

      Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

      • Server: Set to the Server Hostname of your Databricks cluster.
      • HTTPPath: Set to the HTTP Path of your Databricks cluster.
      • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Databricks JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.databricks.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.)
      A typical JDBC URL is below:
      jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
    👁 The JDBC data source, defined by the JAR path, driver class, and JDBC URL. (QuickBooks is shown.)

Query Databricks Data

You can now query the tables exposed.

👁 A query executed in the Table Data Editor. (QuickBooks is shown.)