Control-M for GCP Dataproc

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

Control-M for GCP Dataproc enables you to do the following:

  • Execute single or Workflow Template GCP Dataproc jobs.

  • Manage GCP Dataproc credentials in a secure connection profile.

  • Connect to any GCP Dataproc endpoint.

  • Introduce all Control-M capabilities to Control-M for GCP Dataproc, including advanced scheduling criteria, complex dependencies, resource pools, lock resources, and variables.

  • Integrate GCP Dataproc jobs with other Control-M jobs into a single scheduling environment.

  • Monitor the status, results, and output of GCP Dataproc jobs.

  • Attach an SLA job to the GCP Dataproc jobs.

  • Run 50 GCP Dataproc jobs simultaneously per Agent.

Control-M for GCP Dataproc Compatibility

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

Component

Version

Control-M/EM

9.0.20.200

Control-M/Agent

9.0.20.201

Control-M Application Integrator

9.0.20.201

Control-M Automation API

9.0.20.250

Control-M for GCP Dataproc is supported on Control-M Web and Control-M Automation API, but not on the Control-M client. You cannot use Promotion with the plug-in.

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

Setting up Control-M for GCP Dataproc

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

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

Before You Begin

Begin

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

  2. Download the GCP Dataproc plug-in from the Control-M for GCP Dataproc download page in the EPD site.

  3. Do the following to install the GCP Dataproc plug-in:

    • (9.0.21 or higher) Do the following to run the Control-M Automation API provision service:

      1. Log in as an administrator to the Control-M/EM server host and save the downloaded ZIP file to the following location:

        • Linux: $HOME/ctm_em/AUTO_DEPLOY

        • Windows: <EM_HOME>\AUTO_DEPLOY

      2. Log in to the account where Control-M/Agent is installed and run the following provision image command:

        • Linux: ctm provision image GDP_plugin.Linux

        • Windows: ctm provision image GDP_plugin.Windows

    • (9.0.20.200 or lower) Run the Control-M Automation API deploy service, as described in deploy jobtype.

  4. Create a GCP Dataproc connection profile in Control-M Web or Automation API, as follows:

  5. Define a GCP Dataproc job in Control-M Web or Automation API, as follows:

To remove this plug-in from an Agent, see Removing a Plug-in from the Agent. The plug-in ID is GDP042022.

Change Log

The following table provides details about changes that were introduced in new versions of this plug-in:

Plug-in Version

Details

1.0.04

  • Updated job behavior to mark jobs as Failed in batch processing if their status is Cancelled

  • Fixed the ability to manually abort a step

1.0.03

Added ability to terminate the interactive session resource.

1.0.02

Set the Batch ID and Requested ID parameters to resolve on rerun

1.0.01

  • Added the ability to trigger batch jobs using Dataproc Serverless for Spark Batch Jobs

  • Added the new Batches option to the Dataproc task type parameter

  • Added the following new parameters:

    • Batch ID

    • Requested ID

1.0.00

Initial version