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Work with Microsoft CDS Data in Apache Spark Using SQL

Access and process Microsoft CDS 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 Microsoft CDS, Spark can work with live Microsoft CDS data. This article describes how to connect to and query Microsoft CDS data from a Spark shell.

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

Install the CData JDBC Driver for Microsoft CDS

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

Start a Spark Shell and Connect to Microsoft CDS Data

  1. Open a terminal and start the Spark shell with the CData JDBC Driver for Microsoft CDS JAR file as the jars parameter: $ spark-shell --jars /CData/CData JDBC Driver for Microsoft CDS/lib/cdata.jdbc.cds.jar
  2. With the shell running, you can connect to Microsoft CDS with a JDBC URL and use the SQL Context load() function to read a table.

    You can connect without setting any connection properties for your user credentials. Below are the minimum connection properties required to connect.

    • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
    • OrganizationUrl: Set this to the organization URL you are connecting to, such as https://myorganization.crm.dynamics.com.
    • Tenant (optional): Set this if you wish to authenticate to a different tenant than your default. This is required to work with an organization not on your default Tenant.

    When you connect the Common Data Service OAuth endpoint opens in your default browser. Log in and grant permissions. The OAuth process completes automatically.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.cds.jar

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

    scala> val cds_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:cds:OrganizationUrl=https://myaccount.crm.dynamics.com/").option("dbtable","Accounts").option("driver","cdata.jdbc.cds.CDSDriver").load()
  3. Once you connect and the data is loaded you will see the table schema displayed.
  4. Register the Microsoft CDS data as a temporary table:

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

    scala> cds_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 Microsoft CDS in Apache Spark, you are able to perform fast and complex analytics on Microsoft CDS data, combining the power and utility of Spark with your data. Download a free, 30 day trial of any of the 160+ CData JDBC Drivers and get started today.