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.
- Integrate GCP Dataflow jobs with other Control-M jobs into a single scheduling environment.
- 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.
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 | 9.0.20.240 |
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
- 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:
- 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 (within several minutes, the job type appears in Control-M Web):
- Linux: $HOME/ctm_em/AUTO_DEPLOY
- Windows: <EM_HOME>\AUTO_DEPLOY
- 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
- 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 (within several minutes, the job type appears in Control-M Web):
- (9.0.20.200 or lower) Use the Automation API Deploy service, as described in deploy jobtype.
- (9.0.21 or higher) Use the Automation API Provision service:
- Create a GCP Dataflow connection profile in Control-M Web or Automation API, as follows:
- 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