Process & Analyze Anaplan Data in Databricks (AWS)

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 Anaplan data. This article explains how to host the CData JDBC Driver in AWS, as well as connect to and process live Anaplan data in Databricks.

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

Install the CData JDBC Driver in Databricks

To work with live Anaplan data in Databricks, install the driver on your Databricks 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.anaplan.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).

Access Anaplan Data in your Notebook: Python

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

Configure the Connection to Anaplan

Connect to Anaplan by referencing the JDBC Driver class 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.

Step 1: Connection Information

driver = "cdata.jdbc.anaplan.AnaplanDriver"
url = "jdbc:anaplan:RTK=5246...;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=your_callback_url;Region=US1;InitiateOAuth=GETANDREFRESH;"

Built-in Connection String Designer

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

java -jar cdata.jdbc.anaplan.jar

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

Authenticating to Anaplan

The driver supports authenticating with Basic, Certificate, or OAuth. In every case, set Region to the region where your Anaplan account data is hosted (e.g., US1, which is the default).

Using Basic Authentication

Set AuthScheme to Basic, then supply your Anaplan User and Password. If your workspace uses single sign-on (SSO), you must be assigned as an Exception User to use Basic authentication.

Using Certificate Authentication

Set AuthScheme to Certificate, then supply the Certificate, CertificateType, and PrivateKey properties (and the matching CertificatePassword / PrivateKeyPassword if either is encrypted). The certificate must be a CA-issued X.509 certificate registered with your Anaplan tenant administrator.

Using OAuth Authentication

Register a custom OAuth application in Anaplan, then set the following properties:

• OAuthClientId: The client Id assigned when you registered your custom OAuth application.
• OAuthClientSecret: The client secret assigned when you registered your custom OAuth application.
• CallbackURL: The redirect URI defined when you registered your application.
• InitiateOAuth: Set to GETANDREFRESH to have the driver manage the OAuth token exchange and refresh automatically.

See the Getting Started chapter of the help documentation for a guide to creating a custom OAuth app and using OAuth.

Load Anaplan Data

Once you configure the connection, you can load Anaplan data as a dataframe using the CData JDBC Driver and the connection information.

Step 2: Reading the data

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

Display Anaplan Data

Check the loaded Anaplan data by calling the display function.

Step 3: Checking the result

display (remote_table.select ("Region"))

Analyze Anaplan Data in Databricks

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

Step 4: Create a view or table

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

With the Temp View created, you can use SparkSQL to retrieve the Anaplan data for reporting, visualization, and analysis.

% sql

SELECT Region, Product FROM SAMPLE_VIEW ORDER BY Product DESC LIMIT 5

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