Validate Databricks Data with QuerySurge

QuerySurge is a smart data testing solution that automates data validation and testing. When paired with the CData JDBC Driver for Databricks, QuerySurge can work with live Databricks data. This article explains how to connect to Databricks data from QuerySurge.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Databricks data. When you issue complex SQL queries to Databricks, the driver pushes supported SQL operations, like filters and aggregations, directly to Databricks and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Databricks data using native data types.

Getting Started

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Connecting to Databricks Data in QuerySurge

To connect to live Databricks data from QuerySurge, you need to deploy the JDBC Driver JAR file to your QuerySurge Agent(s) and add a new connection from the QuerySurge Admin view.

Deploy the JDBC Driver

1. Download the CData JDBC Driver for Databricks installer, unzip the package, and run the JAR file to install the driver.
2. Once the driver is installed, stop the Agent Service.
3. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Databricks\lib\) to your Agent(s) (QuerySurge_install_dir\agent\jdbc).
4. Restart the Agent Service.

For more information on deploying JDBC drivers for QuerySurge, refer to the QuerySurge Knowledge Base.

Configure a New Connection to Databricks

1. Log into QuerySurge and navigate to the Admin view.
2. Click Configuration -> Connections in the Administration Tree.
3. Click Add to create a new connection.
4. In the QuerySurge Connection Wizard, click Next. 👁 Creating a new connection
   
5. Name the connection (e.g. CData JDBC Connection to Databricks).
6. Set the Data Source to "All Other JDBC Connections (Connection Extensibility)" and click Next. 👁 Naming the connection and choosing a Data Source
   
7. Set the Driver Class to cdata.jdbc.databricks.DatabricksDriver and click Next. 👁 Setting the Driver Class
   

8. Set the Connection URL using the necessary connection properties to authenticate with Databricks. Your Connection URL will look something like the following:

   jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;

   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.

   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).
   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   
9. Set the Test Query to enable the Test Connection button for the Connection (e.g. SELECT * FROM Customers LIMIT 1) and click Next. 👁 Setting the Connection URL and Test Query (NetSuite is shown)
   
10. Click Test Connection to ensure the connection is configured properly and click Save to add the connection.

Once the connection is added, you can write SQL queries against your Databricks data in QuerySurge.

Compare Databricks Data Queries with a QueryPair

With the connection configured, you can follow the steps below to compare querying Databricks data with a QueryPair.

1. Select "Design Library" from the Design Menu
2. Click QueryPairs under QuerySurge Design
3. Click "Create New QueryPair"
4. Name the QueryPair and click Save
5. In either the Source or Target panes, select the connection created above (select the same connection to query Databricks twice or another connection to perform a comparison)
6. Write queries in the Editor for each pane, e.g. SELECT * FROM Customers 👁 Setting the Connection URL and Test Query (NetSuite is shown)
   
7. Click the "Design-Time Run" tab to execute the queries
8. When the query execution is finished, click "View Query Results" to see the Databricks data returned by the query 👁 Setting the Connection URL and Test Query (NetSuite is shown)
   

Download a free, 30-day trial of the CData JDBC Driver for Databricks and start working with your live Databricks data in QuerySurge. Reach out to our Support Team if you have any questions.