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.
Setting up Control-M for GCP Dataflow
This procedure describes how to install the GCP Dataflow plug-in, create a connection profile, and define a GCP Dataflow job in Helix Control-M and Automation API.
Before You Begin
- Verify that Automation API is installed, as described in Setting up the API.
- Verify that Agent version 9.0.21.080 or later is installed.
Begin
- On the Agent host, set the Java environment variable by running one of the following commands through a command line:
- Linux:
- Bourne Shell/Bash: export BMC_INST_JAVA_HOME=<java_11_directory>
- csh/tcsh: setenv BMC_INST_JAVA_HOME <java_11_directory>
- Windows: set BMC_INST_JAVA_HOME="<java_11_directory>"
- Linux:
- Run one of the following API commands:
- For a fresh installation, use the provision image command:
- Linux: ctm provision image GDF_plugin.Linux
- Windows: ctm provision image GDF_plugin.Windows
- For an upgrade, use the following command:
ctm provision agent::update
- For a fresh installation, use the provision image command:
- Create a GCP Dataflow connection profile in Helix Control-M or Automation API, as follows:
- Helix Control-M: Creating a Centralized Connection Profile with GCP Dataflow Connection Profile Parameters
- Automation API: ConnectionProfile:GCP Dataflow
- Define a GCP Dataflow job in Helix Control-M or Automation API, as follows:
- Helix Control-M: Creating a Job with GCP Dataflow Job parameters.
- Automation API: Job:GCP Dataflow
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