Run an EMR Serverless job

This sample project demonstrates how to create and start an EMR Serverless application and run multiple jobs within it.

This sample project creates the state machine, the supporting AWS resources, and configures the related IAM permissions. Explore this sample project to learn about running EMR Serverless jobs using Step Functions state machines, or use it as a starting point for your own projects.

Important

EMR Serverless does not have a free pricing tier. Running the sample project will incur costs. You can find pricing information on the Amazon EMR Serverless pricing page.

In addition, the availability of EMR Serverless service integration is subject to the availability of EMR Serverless APIs. Because of this, this sample project might not work correctly or be available in some AWS Regions. See the Other considerations topic for information about availability of EMR Serverless in AWS Regions.

AWS CloudFormation template and additional resources

You use a CloudFormation template to deploy this sample project. This template creates the following resources in your AWS account:

• A Step Functions state machine.

• Execution role for the state machine. This role grants the permissions that your state machine needs to access other AWS services and resources such as the EMR Serverless CreateApplication action.

• Job execution role for EMR Serverless. This role grants the permissions that an EMR Serverless job run can assume when it calls other services on your behalf.

Step 1: Create the state machine

1. Open the Step Functions console and choose Create state machine.

2. Type EMR Serverless in the search box, and then choose Run an EMR Serverless job from the search results that are returned.

3. Choose Next to continue.

4. Choose Run a demo to create a read-only and ready-to-deploy workflow, or choose Build on it to create an editable state machine definition that you can build on and later deploy.

   This sample project deploys the following resources:

   • A Step Functions state machine

   • Related AWS Identity and Access Management (IAM) roles

   The following image shows the workflow graph for the Run an EMR Serverless job sample project:

   

5. Choose Use template to continue with your selection.

Next steps depend on your previous choice:

1. Run a demo – You can review the state machine before you create a read-only project with resources deployed by AWS CloudFormation to your AWS account.

   You can view the state machine definition, and when you are ready, choose Deploy and run to deploy the project and create the resources.

   Deploying can take up to 10 minutes to create resources and permissions. You can use the Stack ID link to monitor progress in AWS CloudFormation.

   After deploy completes, you should see your new state machine in the console.

2. Build on it – You can review and edit the workflow definition. You might need to set values for placeholders in the sample project before attemping to run your custom workflow.

Note

Standard charges might apply for services deployed to your account.

Step 2: Run the state machine

1. On the State machines page, choose your sample project.

2. On the sample project page, choose Start execution.

3. In the Start execution dialog box, do the following:

   1. (Optional) Enter a custom execution name to override the generated default.

      Non-ASCII names and logging

      Step Functions accepts names for state machines, executions, activities, and labels that contain non-ASCII characters. Because such characters will not work with Amazon CloudWatch, we recommend using only ASCII characters so you can track metrics in CloudWatch.

   2. (Optional) In the Input box, enter input values as JSON. You can skip this step if you are running a demo.

   3. Choose Start execution.

   The Step Functions console will direct you to an Execution Details page where you can choose states in the Graph view to explore related information in the Step details pane.