Control-M for Azure Databricks
Azure Databricks is a cloud-based data analytics platform that enables you to process large workloads of data.
Control-M for Azure Databricks enables you to do the following:
- Connect to any Azure Databricks endpoint from a single computer with secure login, which eliminates the need to provide authentication.
- Integrate Azure Databricks jobs with other Control-M jobs into a single scheduling environment.
- Execute Azure Databricks jobs.
- Monitor the status, results, and output of Azure Databricks jobs in the Monitoring domain.
- Attach an SLA job to your Azure Databricks jobs.
- Introduce all Control-M capabilities to Control-M for Azure Databricks including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
- Run 50 Azure Databricks jobs simultaneously per Agent.
Setting up Control-M for Azure Databricks
This procedure describes how to install the Azure Databricks plug-in, create a connection profile, and define an Azure Databricks job in Helix Control-M and Automation API.
Before you Begin
- Verify that Automation API is installed, as described in Setting up the API.
- Verify that Agent version 9.0.21.080 or later is installed.
Begin
- On the Agent host, set the Java environment variable by running one of the following commands through a command line:
- Linux:
- Bourne shell/bash: export BMC_INST_JAVA_HOME=<java_11_directory>
- csh/tcsh: setenv BMC_INST_JAVA_HOME <java_11_directory>
- Windows: set BMC_INST_JAVA_HOME="<java_11_directory>"
- Linux:
- Run one of the following API commands:
- For a fresh installation, use the provision image command:
- Linux: ctm provision image ZDX_plugin.Linux
- Windows: ctm provision image ZDX_plugin.Windows
- For an upgrade, use the following command:
ctm provision agent::update
- For a fresh installation, use the provision image command:
- Create an Azure Databricks connection profile in Helix Control-M or Automation API, as follows:
- Helix Control-M: Creating a Centralized Connection Profile with Azure Databricks Connection Profile Parameters
- Automation API: ConnectionProfile:Azure Databricks
- Define an Azure Databricks job in Helix Control-M or Automation API, as follows:
- Helix Control-M: Creating a Job with Azure Databricks Job parameters
- Automation API: Job:Azure Databricks
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