How to work with Gong Data in Apache Spark using SQL

Apache Spark is a fast and general engine for large-scale data processing. When paired with the CData JDBC Driver for Gong, Spark can work with live Gong data. This article describes how to connect to and query Gong data from a Spark shell.

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

Install the CData JDBC Driver for Gong

Download the CData JDBC Driver for Gong installer, unzip the package, and run the JAR file to install the driver.

Start a Spark Shell and Connect to Gong Data

1. Open a terminal and start the Spark shell with the CData JDBC Driver for Gong JAR file as the jars parameter:

   $ spark-shell --jars /CData/CData JDBC Driver for Gong/lib/cdata.jdbc.api.jar
   

2. With the shell running, you can connect to Gong with a JDBC URL and use the SQL Context load() function to read a table.

   To authenticate to Gong, you can use API Key authentication with your Gong API Key and API Secret.

   Authentication

   To authenticate to Gong, you must provide your Gong API Key and API Secret, along with your tenant Domain. These credentials are combined and Base64-encoded to form the Basic authentication header used for all API requests.

   Using API Key Authentication

   To authenticate using an API Key, you need to obtain your API Key and API Secret from your Gong account settings.

   You can then connect by setting the AuthScheme to APIKey and providing your credentials:

   • AuthScheme: Set this to APIKey.
   • APIKey: Set this to your Gong API Key.
   • APISecret: Set this to your Gong API Secret.
   • Domain: Set this to your Gong tenant domain (e.g., us-36533.api.gong.io).

   Example connection string

   Profile=C:\profiles\Gong.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key;APISecret=your_api_secret;Domain=your-tenant.api.gong.io';
   

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.api.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.)
   

   Configure the connection to Gong, using the connection string generated above.

   scala> val api_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:api:Profile=C:\profiles\Gong.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key;APISecret=your_api_secret;Domain=your-tenant.api.gong.io';").option("dbtable","AnsweredScorecards").option("driver","cdata.jdbc.api.APIDriver").load()
   

3. Once you connect and the data is loaded you will see the table schema displayed.

4. Register the Gong data as a temporary table:

   scala> api_df.registerTable("answeredscorecards")

5. Perform custom SQL queries against the Data using commands like the one below:

   scala> api_df.sqlContext.sql("SELECT , FROM AnsweredScorecards WHERE = ").collect.foreach(println)

   You will see the results displayed in the console, similar to the following:

   👁 Data in Apache Spark (Salesforce is shown)
   

Using the CData JDBC Driver for Gong in Apache Spark, you are able to perform fast and complex analytics on Gong data, combining the power and utility of Spark with your data. Download a free, 30 day trial of any of the hundreds of CData JDBC Drivers and get started today.