Control-M for AWS EMR
AWS EMR is a managed cluster platform that enables you to execute big data frameworks, such as Apache Hadoop and Apache Spark, to process and analyze vast amounts of data.
Control-M for AWS EMR enables you to do the following:
- Connect to any AWS EMR endpoint from a single computer with secure login, which eliminates the need to provide authentication.
- Integrate AWS EMR jobs with other Control-M jobs into a single scheduling environment.
- Execute AWS EMR jobs.
- Monitor the status, results, and output of AWS EMR jobs in the Monitoring domain.
- Attach an SLA job to your AWS EMR jobs.
- Introduce all Control-M capabilities to Control-M for AWS EMR including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
- Run 50 AWS EMR jobs simultaneously per Agent.
Control-M for AWS EMR Compatibility
The following table lists the prerequisites that are required to use the AWS EMR 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 Web | 9.0.20.200 |
| Control-M Automation API | 9.0.20.250 |
Control-M for AWS EMR 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.
Setting up Control-M for AWS EMR
This procedure describes how to deploy the AWS EMR plug-in, create a connection profile, and define an AWS EMR job in Control-M Web and Automation API.
NOTE: Integration plug-ins released by BMC require an Application Integrator installation at your site. However, these plug-ins are not editable and you cannot import them into Application Integrator. To deploy these integrations to your Control-M environment, you import them directly into Control-M using 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 AWS EMR plug-in from the Control-M for AWS EMR download page in the EPD site.
- Install the AWS EMR plug-in via one of the following methods:
- (For version 9.0.21.or later) Use the Provision service of Automation API:
- 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
- As an application user on the Agent machine, run the provision image command, as follows:
- Linux: ctm provision image AEM_plugin.Linux
- Windows: ctm provision image AEM_plugin.Windows
- As an administrator on the Control-M/EM Server, store the downloaded zip file in the following location.
- (For versions lower than 9.0.21) Use the Deploy service of Automation API, as described in deploy jobtype.
- (For version 9.0.21.or later) Use the Provision service of Automation API:
- Create an AWS EMR connection profile in Control-M Web or Automation API, as follows:
- Web: Creating a Centralized Connection Profile with AWS EMR Connection Profile Parameters
- Automation API: ConnectionProfile:AWS EMR
- Define an AWS EMR job in Control-M Web or Automation API, as follows:
- Web: Creating a Job with AWS EMR Job parameters
- Automation API: Job:AWS EMR
Comments
ctm provision image AEM _plugin.Windows change for ctm provision image AEM_plugin.Windows
Fixed. Thanks, Mauricio.
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