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:

Execute GCP Dataflow jobs based on a Classic or Flex template.
Manage GCP Dataflow credentials in a secure connection profile.
Connect to any GCP Dataflow endpoint.
Introduce all Control-M capabilities to Control-M for GCP Dataflow, including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
Integrate GCP Dataflow jobs with other Control-M jobs into a single scheduling environment.
Monitor the status, results, and output of GCP Dataflow jobs.
Attach an SLA job to the GCP Dataflow jobs.
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.

Component	Version
Control-M/EM	9.0.20.200
Control-M/Agent	9.0.20.200
Control-M Application Integrator	9.0.20.201
Control-M Automation API	9.0.20.250

Control-M for GCP Dataflow is supported on Control-M Web and Control-M Automation API, but not on the Control-M client.

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

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.

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

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

Begin

Create a temporary directory to save the downloaded files.
Download the GCP Dataflow plug-in from the Control-M for GCP Dataflow download page in the EPD site.
Install the GCP Dataflow plug-in via one of the following methods:
- (9.0.21 or higher) Use the Automation API Provision service, as follows:
  1. Log in to the Control-M/EM Server machine as an Administrator and store the downloaded zip file in the one of the following locations:
    - Linux: $HOME/ctm_em/AUTO_DEPLOY
    - Windows: <EM_HOME>\AUTO_DEPLOY
  2. Log in to the Control-M/Agent machine and run the provision image command, as follows:
    - Linux: ctm provision image GDF_plugin.Linux
    - Windows: ctm provision image GDF_plugin.Windows
- (9.0.20.200 or lower) Run the Automation API Deploy service, as described in deploy jobtype.
Create a GCP Dataflow connection profile in Control-M Web or Automation API, as follows:
- Web: Create a Centralized Connection Profile with GCP Dataflow Connection Profile Parameters
- Automation API: ConnectionProfile:GCP Dataflow
Define a GCP Dataflow job in Control-M Web or Automation API, as follows:
- Web: Create a Job with GCP Dataflow Job parameters
- Automation API: Job:GCP Dataflow

To remove this plug-in from an Agent, see Removing a Plug-in. The plug-in ID is GDF032022.

Change Log

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

Plug-in Version	Details
1.0.01	Initial version