Process & Analyze SAP Data in Azure Databricks

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SAP ERP JDBC Driver

Straightforward SAP ERP integration. Now accessing SAP RFC's from any JDBC client is as easy as querying a database.



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

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

Install the CData JDBC Driver in Azure

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

Connect to SAP from Databricks

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

Configure the Connection to SAP

Connect to SAP by referencing the class for the JDBC Driver and constructing a connection string to use in the JDBC URL.

driver = "cdata.jdbc.saperp.SAPERPDriver"
url = "jdbc:saperp:Host=sap.mydomain.com;User=EXT90033;Password=xxx;Client=800;System Number=09;ConnectionType=Classic;Location=C:\\mysapschemafolder;"

Built-in Connection String Designer

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

java -jar cdata.jdbc.saperp.jar

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

The driver supports connecting to an SAP system using the JCo JAR file. See the "Getting Started" chapter in the help documentation for information on using the Jco JAR file.

In addition, you can connect to an SAP system using Web services (SOAP). To use Web services, you must enable SOAP access to your SAP system and set the Client, RFCUrl, User, and Password properties, under the Authentication section.

For more information, see this guide on obtaining the connection properties needed to connect to any SAP system.

Load SAP Data

Once the connection is configured, you can load SAP 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" , "MARA") \
	.load ()

Display SAP Data

Check the loaded SAP data by calling the display function.

display (remote_table.select ("MANDT"))

Analyze SAP 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 SAP data for analysis.

% sql

SELECT MANDT, MBRSH FROM MARA

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