Databricks Reporting in OBIEE with the Databricks JDBC Driver



Deploy the Databricks JDBC driver on OBIEE to provide real-time reporting across the enterprise.

The CData JDBC Driver for Databricks is a standard database driver that can integrate real-time access to Databricks data into your Java-based reporting server. This article shows how to deploy the driver to Oracle Business Intelligence Enterprise Edition (OBIEE) and create reports on Databricks data that reflect any changes.

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


Deploy the JDBC Driver

Follow the steps below to add the JDBC driver to WebLogic's classpath.

For WebLogic 12.2.1, simply place the driver JAR and .lic file into DOMAIN_HOME\lib; for example, ORACLE_HOME\user_projects\domains\MY_DOMAIN\lib. These files will be added to the server classpath at startup.

You can also manually add the driver to the classpath: This is required for earlier versions. Prepend the following to PRE_CLASSPATH in setDomainEnv.cmd (Windows) or setDomainEnv.sh (Unix). This script is located in the bin subfolder of the folder for that domain. For example: ORACLE_HOME\user_projects\domains\MY_DOMAIN\bin.

set PRE_CLASSPATH=your-installation-directory\lib\cdata.jdbc.databricks.jar;%PRE_CLASSPATH%

Restart all servers; for example, run the stop and start commands in DOMAIN_HOME\bitools\bin.

Create a JDBC Data Source for Databricks

After deploying the JDBC driver, you can create a JDBC data source from BI Publisher.

  1. Log into BI Publisher, at the URL http://localhost:9502/analytics, for example, and click Administration -> Manage BI Publisher.
  2. Click JDBC Connection -> Add Data Source.
  3. Enter the following information:
    • Data Source Name: Enter the name that users will create connections to in their reports.
    • Driver Type: Select Other.
    • Database DriverClass: Enter the driver class, cdata.jdbc.databricks.DatabricksDriver.
    • Connection String: Enter the JDBC URL.

      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.

      When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

      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;
    • Username: Enter the username.
    • Password: Enter the password.
  4. In the Security section, select the allowed user roles.

Create Real-Time Databricks Reports

You can now create reports and analyses based on real-time Databricks data. Follow the steps below to use the standard report wizard to create an interactive report that reflects any changes to Databricks data.

  1. On the global header, click New -> Data Model.
  2. On the Diagram tab, select SQL query in the menu.
  3. Enter a name for the query and in the Data Source menu select the Databricks JDBC data source you created.
  4. Select standard SQL and enter a query like the following: SELECT City, CompanyName FROM Customers WHERE Country = 'US'
  5. Click View Data to generate the sample data to be used as you build your report.
  6. Select the number of rows to include in the sample data, click View, and then click Save As Sample Data.
  7. Click Create Report -> Use Data Model.
  8. Select Guide Me and on the Select Layout page select the report objects you want to include. In this example we select Chart and Table.
  9. Drop a numeric column like CompanyName onto the Drop Value Here box on the y-axis. Drop a dimension column like City onto the Drop Label Here box on the x-axis.
  10. Click Refresh to pick up any changes to the Databricks data.

Ready to get started?

Download a free trial of the Databricks Driver to get started:

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