Control-M for Google Dataproc

Google Cloud Platform (GCP) Dataproc is a managed service that enables you to perform cloud-based big data processing and machine learning. 

Control-M for Google Dataproc 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 workflow template created on Google Dataproc.
  • Integrate Dataproc jobs with other Control-M jobs into a single scheduling environment.
  • Monitor the Dataproc status and view the results in the Monitoring domain.
  • Attach an SLA job to your entire Google Dataproc service.
  • Introduce all Control-M capabilities to Google Dataproc, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
  • Run 50 Google Dataproc jobs simultaneously per Control-M/Agent.

Control-M for Google Dataproc Compatibility

The following table lists the prerequisites that are required to use the Google Dataproc plug-in, each with its minimum required version.

ComponentVersion
Control-M/EM9.0.20.200
Control-M/Agent9.0.20.200
Control-M Application Integrator9.0.20.201
Control-M Web9.0.20.200
Control-M Automation API9.0.20.250

Control-M for Google Dataproc is supported on Control-M Web and Control-M Automation API, but not on Control-M client.

To download the required installation files for each prerequisite, see Obtaining Control-M Installation Files via EPD.

Setting up Control-M for Google Dataproc

This procedure describes how to deploy the Google Dataproc plug-in, create a connection profile, and define a Google Dataproc job in Control-M Web and Automation API.

NOTE: Integration plug-ins released by BMC require an Application Integrator installation at your site. However, these plug-ins are not editable and you cannot import them into Application Integrator. To deploy these integrations to your Control-M environment, you import them directly into Control-M using Control-M Automation API.

Before you Begin

Verify that Automation API is installed, as described in Automation API Installation.

Begin

  1. Create a temporary directory to save the downloaded files.

  2. Click http://www.bmc.com/available/epd and follow the instructions on the EPD site to download the Google Dataproc plug-in, or go directly to the Control-M for Google Dataproc download page.

  3. Deploy the Google Dataproc job via Automation API, as described in deploy jobtype.
  4. Create an Google Dataproc connection profile in Control-M Web or Automation API, as follows:
  5. Define an Google Dataproc job in Control-M Web or Automation API, as follows:
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