Control-M for GCP BigQuery

Google Cloud Platform (GCP) BigQuery is a cloud-computing platform that enables you to process, analyze, and store your data.

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

  • Connect to any GCP BigQuery endpoint from a single computer with secure login, which eliminates the need to provide authentication.
  • Integrate GCP BigQuery jobs with other Control-M jobs into a single scheduling environment.
  • Execute any of the following GCP BigQuery job operations:
    • Execute one or more SQL statements that are supported by GCP BigQuery.
    • Create a copy of an existing table.
    • Load source data into an existing table.
    • Export data from an existing table into Google Cloud Storage.
    • Execute a stored procedure, table function, or previously defined function.
  • Monitor the status, results, and output of GCP BigQuery jobs in the Monitoring domain.
  • Attach an SLA job to your GCP BigQuery jobs.
  • Introduce all Control-M capabilities to Control-M for GCP BigQuery including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
  • Run 50 GCP BigQuery jobs simultaneously per Agent.

Setting up Control-M for GCP BigQuery

This procedure describes how to install the GCP BigQuery plug-in, create a connection profile, and define a GCP BigQuery 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 or later is installed.


  1. 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>"
  2. Run one of the following API commands:
    • For a fresh installation, use the provision image command:
      • Linux: ctm provision image GBQ_plugin.Linux
      • Windows: ctm provision image GBQ_plugin.Windows
    • For an upgrade, use the following command:
      ctm provision agent::update
  3. Create a GCP BigQuery connection profile in Helix Control-M or Automation API, as follows:
  4. Define a GCP BigQuery job in Helix Control-M or Automation API, as follows:


To remove this plug-in from an Agent, follow the instructions in Removing a Plug-in. The plug-in ID is GBQ102022.

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