(SM-2305) Azure Databricks
Table of Contents:
1. Prerequisites on Azure portal
For the creation of Azure Databricks workspace and cluster refer to Get started with Azure Databricks - Azure Databricks documentation.
Access the Databricks workspace, to create a new computing cluster or start an existing one.
Your account must have Owner or Contributor privileges on Databrick's workspace to be able to access it.
By default, the Azure Databricks cluster is not running. Either create a new cluster or start the existing one (be sure to change the cluster filter to show all clusters).
In Advanced Options of the cluster set up Spark config for a connection to ADLS Gen 2 storage. The configuration is a set of a key:value pairs separated by single spaces. OAuth parameter values are the same as credentials used in ADLS.
Spark access to ADLS2
spark.hadoop.fs.azure.account.key.somestorageaccount.dfs.core.windows.net 2f+++++++++++++++++++++++++XRww==OAuth access type
spark.hadoop.dfs.adls.oauth2.access.token.provider.type ClientCredentialOAuth login endpoint
spark.hadoop.dfs.adls.oauth2.refresh.url https://login.microsoftonline.com/6fdc3117-ec29-4d73-8b33-028c8c300872/oauth2/token OAuth secret
spark.hadoop.dfs.adls.oauth2.credential +gv+++++++++++++++++++++++++++++++++++++M74=OAuth client ID
spark.hadoop.dfs.adls.oauth2.client.id 74731c8c-7290-4998-8005-1d0670cbe909
Write down the server hostname, port, and JDBC URL which will be used in the SM storage definition.
To create a database run the SQL query create the database if not exists <DatabaseName> in the notebook of the workspace.
Create TOKEN for remote access in User Settings (top right corner icon).
Save token for later use in SAP configuration.
2. Networking
To enable communication of the SAP system with the Azure Databricks host, the following host/port needs to be reachable from the SAP system:
Port | Address |
---|---|
443 | <ServerHostname>.azuredatabricks.net |
433 | <StorageAccountName>.blob.core.windows.net |
<StorageAccountName>.blob.core.windows.net is internal DBFS storage location, automatically generated by Azure Databricks. It is used for query results, which are larger than 1MB. Name of the internal storage can be found in JSON view of the Azure Databricks service in Azure portal.
3. Setup Java connector
Java connector is a critical middle-ware component. Follow the steps in this guide Java Connector Setup to set it up before you continue.
4. Create ADLS Gen 2 storage
ADLS storage is required as storage for temporary data. Follow this guide to create the storage (SM-2305) Azure Data Lake Gen2.
5. Download Spark JDBC drivers
Download Databricks JDBC driver from https://www.databricks.com/spark/jdbc-drivers-download
Upload the .jar file to the SAP application server at /sapmnt/<SID>/global/security/dvd_conn/databricks
The file needs to be owned by <sid>adm:sapsys
6. Create Databricks storage
Go to transaction /DVD/SM_SETUP
Create new storage of type SM_TRS_MS
This storage uses the storage type SM_TRS_MS
. More information about the setup can be found in (SM-2305) Hadoop Storage Setup.
Examples of Azure Databricks & ADLS Gen 2 storage configuration are shown below:
General Tab
Referenced storage
Storage ID of ADLS Gen 2 Gen Storage
Hadoop Tab
Drivers Tab
Security Tab
Advanced Tab