Process & Analyze NetSuite Data in Azure Databricks

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NetSuite JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with NetSuite account data including Leads, Contacts, Opportunities, Accounts, and more!



Host the CData JDBC Driver for NetSuite in Azure and use Databricks to perform data engineering and data science on live NetSuite 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 NetSuite data. This article walks through hosting the CData JDBC Driver in Azure, as well as connecting to and processing live NetSuite data in Databricks.

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

Install the CData JDBC Driver in Azure

To work with live NetSuite 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.netsuite.jar) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for NetSuite\lib).

Connect to NetSuite from Databricks

With the JAR file installed, we are ready to work with live NetSuite 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 NetSuite, and create a basic report.

Configure the Connection to NetSuite

Connect to NetSuite 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.netsuite.NetSuiteDriver"
url = "jdbc:netsuite:RTK=5246...;Account Id=XABC123456;Password=password;User=user;Role Id=3;Version=2013_1;"

Built-in Connection String Designer

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

java -jar cdata.jdbc.netsuite.jar

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

The User and Password properties, under the Authentication section, must be set to valid NetSuite user credentials. In addition, the AccountId must be set to the ID of a company account that can be used by the specified User. The RoleId can be optionally specified to log in the user with limited permissions.

See the "Getting Started" chapter of the help documentation for more information on connecting to NetSuite.

Load NetSuite Data

Once the connection is configured, you can load NetSuite 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" , "SalesOrder") \
	.load ()

Display NetSuite Data

Check the loaded NetSuite data by calling the display function.

display (remote_table.select ("CustomerName"))

Analyze NetSuite 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 NetSuite data for analysis.

% sql

SELECT Customer.FirstName AS CustomerName, SalesOrder.Total AS SalesOrderTotal FROM SalesOrder, Customer

The data from NetSuite 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 NetSuite and start working with your live NetSuite data in Apache NiFi. Reach out to our Support Team if you have any questions.