Control-M for Google Dataflow

Google Cloud Platform (GCP) Dataflow is a managed service that enables you to perform cloud-based data processing for batch and real-time data streaming applications. 

Control-M for Google Dataflow enables you to do the following:

• Connect to the Google Cloud Platform from a single computer with secure login, which eliminates the need to provide authentication.
• Trigger jobs based on any template (Classic or Flex) created on Google Dataflow.
• Integrate Dataflow jobs with other Control-M jobs into a single scheduling environment.
• Monitor the Dataflow status and view the results in the Monitoring domain.
• Attach an SLA job to your entire Google Dataflow service.
• Introduce all Control-M capabilities to Google Dataflow, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
• Run 50 Google Dataflow jobs simultaneously per Control-M/Agent.

Setting up Control-M for Google Dataflow

This procedure describes how to install the Google Dataflow plug-in, create a connection profile, and define a Google Dataflow 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

1. 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>"
2. Run one of the following API commands:
   • For a fresh installation, use the provision image command:
     • Linux:  ctm provision image GDF_plugin.Linux
     • Windows: ctm provision image GDF_plugin.Windows
   • For an upgrade, use the following command:
     ctm provision agent::update
3. Create a GCP Dataflow connection profile in Helix Control-M or Automation API, as follows:
   • Helix Control-M: Creating a Centralized Connection Profile with GCP Dataflow Connection Profile Parameters
   • Automation API:  ConnectionProfile:GCP Dataflow
4. Define a GCP Dataflow job in Helix Control-M or Automation API, as follows:
   • Helix Control-M: Create a Job and then define specific GCP Dataflow parameters in GCP Dataflow Job parameters.
   • Automation API: Job:GCP Dataflow