How to work with MYOB AccountRight 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 MYOB AccountRight, Spark can work with live MYOB AccountRight data. This article describes how to connect to and query MYOB AccountRight data from a Spark shell.

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

Install the CData JDBC Driver for MYOB AccountRight

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

Start a Spark Shell and Connect to MYOB AccountRight Data

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

   $ spark-shell --jars /CData/CData JDBC Driver for MYOB AccountRight/lib/cdata.jdbc.myob.jar
   

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

   These properties are required when connecting to a company file (both for Cloud and On-Premise instances).

   • CompanyFileId: You can find this by starting MYOB, opening your data file, and selecting Help -> About MYOB
   • User: The username associated with your company file.
   • Password: The password associated with your company file.

   Connecting to a Cloud Instance

   To connect to a cloud instance of MYOB, you can use the embedded OAuth credentials or create an OAuth app with MYOB. This process is detailed in the Help documentation.

   Connecting to an On-Premise instance:

   When connecting to an on-premise instance, set the following connection property in addition to those above:

   • InitiateOauth: Set this to OFF.
   • Url: The Url of your MYOB instance.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.myob.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 MYOB AccountRight, using the connection string generated above.

   scala> val myob_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:myob:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; CompanyFileId=yourCompanyFileId; CallbackURL=http://localhost:33333; User=companyFileUser; Password=companyFilePassword;InitiateOAuth=GETANDREFRESH;").option("dbtable","Accounts").option("driver","cdata.jdbc.myob.MYOBDriver").load()
   

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

4. Register the MYOB AccountRight data as a temporary table:

   scala> myob_df.registerTable("accounts")

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

   scala> myob_df.sqlContext.sql("SELECT Id, Name FROM Accounts WHERE Type = Bank").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 MYOB AccountRight in Apache Spark, you are able to perform fast and complex analytics on MYOB AccountRight 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.