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Rapidly create and deploy powerful Java applications that integrate with Dynamics GP account data including Vendors, Customers, Invoices, Quotes, and more!

Process & Analyze Dynamics GP Data in Azure Databricks



Host the CData JDBC Driver for Dynamics GP in Azure and use Databricks to perform data engineering and data science on live Dynamics GP data.

Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Driver, customers can use Databricks to perform data engineering and data science on live Dynamics GP data. This article walks through hosting the CData JDBC Driver in Azure, as well as connecting to and processing live Dynamics GP data in Databricks.

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

Install the CData JDBC Driver in Azure

To work with live Dynamics GP data in Databricks, install the driver on your Azure cluster.

  1. Navigate to your Databricks administration screen and select the target cluster.
  2. On the Libraries tab, click "Install New."
  3. Select "Upload" as the Library Source and "Jar" as the Library Type.
  4. Upload the JDBC JAR file (cdata.jdbc.dynamicsgp.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).

Connect to Dynamics GP from Databricks

With the JAR file installed, we are ready to work with live Dynamics GP data in Databricks. Start by creating a new notebook in your workspace. Name the notebook, select Python as the language (though Scala is available as well), and choose the cluster where you installed the JDBC driver. When the notebook launches, we can configure the connection, query Dynamics GP, and create a basic report.

Configure the Connection to Dynamics GP

Connect to Dynamics GP by referencing the class for the JDBC Driver and constructing a connection string to use in the JDBC URL. Additionally, you will need to set the RTK property in the JDBC URL (unless you are using a Beta driver). You can view the licensing file included in the installation for information on how to set this property.

driver = "cdata.jdbc.dynamicsgp.DynamicsGPDriver"
url = "jdbc:dynamicsgp:RTK=5246...;CompanyId=mycompanyId;user=myuser;password=mypassword;URL= http://{servername}:{port}/Dynamics/GPService;"

Built-in Connection String Designer

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

java -jar cdata.jdbc.dynamicsgp.jar

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

To authenticate set the User and Password connection properties.

To connect set the URL to the Web services endpoint; for example, http://{servername}:{port}/Dynamics/GPService. Additionally, set CompanyId; you can obtain this value in the company setup window: Click Tools -> Setup -> Company.

By default, data summaries are not returned to save performance. Set LookupIds to true to return details such as line items; however, note that entities must be retrieved one at a time.

Load Dynamics GP Data

Once the connection is configured, you can load Dynamics GP data as a dataframe using the CData JDBC Driver and the connection information.

remote_table = spark.read.format ( "jdbc" ) \
	.option ( "driver" , driver) \
	.option ( "url" , url) \
	.option ( "dbtable" , "SalesInvoice") \
	.load ()

Display Dynamics GP Data

Check the loaded Dynamics GP data by calling the display function.

display (remote_table.select ("CustomerName"))

Analyze Dynamics GP Data in Azure Databricks

If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

The SparkSQL below retrieves the Dynamics GP data for analysis.

% sql

SELECT CustomerName, TotalAmount FROM SalesInvoice

The data from Dynamics GP is only available in the target notebook. If you want to use it with other users, save it as a table.

remote_table.write.format ( "parquet" ) .saveAsTable ( "SAMPLE_TABLE" )

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