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Get the Report →Design BIRT Reports on Databricks Data
Provide current Databricks data to your embedded analytics.
The CData JDBC Driver for Databricks integrates connectivity to Databricks APIs into your data-driven Java applications. You can use the CData JDBC Driver for Databricks with the BIRT (Business Intelligence Reporting Tools) platform to create BIRT reports that reflect changes to your data in real time.
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
- If you have not already done so, install the BIRT Framework plugin and the Database Development plugin for Eclipse.
- Click File -> New -> Report. The Report Design perspective is opened.
- In the Data Explorer, right-click Data Sources and click New Data Source.
- Select the Create from a Data Source Type in the Following List option and select JDBC Data Source.
- Click Manage Drivers and add the driver JAR, located in the lib subfolder of the installation folder.
- In the Database URL box, enter the JDBC URL containing the connection string.
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;
- Right-click the Data Sets folder and select the JDBC data source for Databricks.
- In the resulting dialog, build the SELECT query to be used to retrieve the data for the report. This article uses the following query:
SELECT City, CompanyName FROM Customers WHERE Country = 'US'
- In the Palette, drag a Chart onto the editor. The chart wizard is displayed.
- After selecting the chart type, drag columns onto the chart fields on the Select Data tab.
- Click Run -> View Report -> In Web Viewer to view the report.
Your BIRT reports can now pick up any updates to Databricks data.
To publish the report to your application server, add the driver JAR to the BIRT Viewer's classpath. For more information, see the CData KB for guides to deploying the JDBC Driver on Java application servers.