Control-M for GCP Dataflow

The Google Cloud Platform (GCP) Dataflow job enables you to perform cloud-based data processing for batch and real-time data streaming applications.

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

• Connect to any GCP Dataflow endpoint from a single computer with secure login, which eliminates the need to provide authentication.
• Integrate GCP Dataflow jobs with other Control-M jobs into a single scheduling environment.
• Execute  GCP  Dataflow   jobs based on a Classic or Flex template.
• Monitor the status, results, and output of GCP Dataflow jobs in the Monitoring domain.
• Attach an SLA job to your GCP Dataflow jobs.
• Introduce all Control-M capabilities to Control-M for GCP Dataflow including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
• Run 50 GCP Dataflow jobs simultaneously per Agent.

Control-M for GCP Dataflow Compatibility

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

Control-M for GCP Dataflow 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 GCP Dataflow

This procedure describes how to deploy the GCP Dataflow plug-in, create a connection profile, and define a GCP Dataflow job in Control-M Web and 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. Download the GCP Dataflow plug-in from the Control-M for GCP Dataflow download page in the EPD site.
3. Install the GCP Dataflow plug-in via one of the following methods:
   • Versions 9.0.21 or Higher: Use the Provision service of Automation API:
     1. As an administrator on the Control-M/EM Server, store the downloaded zip file in the following location.
        Within several minutes, the zip file is available in all Control-M interfaces associated with the Control-M/EM.
        
        • Linux: $HOME/ctm_em/AUTO_DEPLOY
        • Windows: <EM_HOME>\AUTO_DEPLOY
     2. As an application user on the Agent machine, run the provision image command, as follows:
        • Linux: ctm provision image GDF_plugin.Linux
        • Windows: ctm provision image GDF_plugin.Windows
   • Versions Lower than 9.0.21: Use the Deploy service of Automation API, as described in deploy jobtype.
4. Create a GCP Dataflow connection profile in Control-M Web or Automation API, as follows:
   • Web: Creating a Centralized Connection Profile with GCP Dataflow Connection Profile Parameters.
   • Automation API:  ConnectionProfile:GCP Dataflow
5. Define a GCP Dataflow job in Control-M Web or Automation API, as follows:
   • Web: Creating a Job with GCP Dataflow Job parameters.
   • Automation API: Job:GCP Dataflow