Ready to get started?

Learn more about the CData JDBC Driver for Dynamics 365 or download a free trial:

Download Now

Work with Dynamics 365 Sales Data in Apache Spark Using SQL

Access and process Dynamics 365 Sales Data in Apache Spark using the CData JDBC Driver.

Apache Spark is a fast and general engine for large-scale data processing. When paired with the CData JDBC Driver for Dynamics 365 Sales, Spark can work with live Dynamics 365 Sales data. This article describes how to connect to and query Dynamics 365 Sales data from a Spark shell.

The CData JDBC Driver offers unmatched performance for interacting with live Dynamics 365 Sales data due to optimized data processing built into the driver. When you issue complex SQL queries to Dynamics 365 Sales, the driver pushes supported SQL operations, like filters and aggregations, directly to Dynamics 365 Sales 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 Dynamics 365 Sales data using native data types.

Install the CData JDBC Driver for Dynamics 365 Sales

Download the CData JDBC Driver for Dynamics 365 Sales installer, unzip the package, and run the JAR file to install the driver.

Start a Spark Shell and Connect to Dynamics 365 Sales Data

  1. Open a terminal and start the Spark shell with the CData JDBC Driver for Dynamics 365 Sales JAR file as the jars parameter: $ spark-shell --jars /CData/CData JDBC Driver for Dynamics 365 Sales/lib/cdata.jdbc.d365sales.jar
  2. With the shell running, you can connect to Dynamics 365 Sales with a JDBC URL and use the SQL Context load() function to read a table. Dynamics 365 uses the OAuth authentication standard. See the Getting Started section in the help documentation for a guide to completing the process.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Dynamics 365 Sales JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.d365sales.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    Configure the connection to Dynamics 365 Sales, using the connection string generated above.

    scala> val d365sales_df ="jdbc").option("url", "jdbc:d365sales:OrganizationUrl=;").option("dbtable","Accounts").option("driver","cdata.jdbc.d365sales.D365SalesDriver").load()
  3. Once you connect and the data is loaded you will see the table schema displayed.
  4. Register the Dynamics 365 Sales data as a temporary table:

    scala> d365sales_df.registerTable("accounts")
  5. Perform custom SQL queries against the Data using commands like the one below:

    scala> d365sales_df.sqlContext.sql("SELECT accountid, Name FROM Accounts WHERE Name = MyAccount").collect.foreach(println)

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

Using the CData JDBC Driver for Dynamics 365 Sales in Apache Spark, you are able to perform fast and complex analytics on Dynamics 365 Sales data, combining the power and utility of Spark with your data. Download a free, 30 day trial of any of the 200+ CData JDBC Drivers and get started today.