Run an EMR Serverless job - Amazon Step Functions
Amazon CloudFormation template and additional resourcesStep 1: Create the state machine and provision resourcesStep 2: Run the state machine
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Run an EMR Serverless job

This sample project demonstrates how you can create and start an EMR Serverless application. This project also shows how you can run multiple jobs within that application.

This sample project creates the state machine, the supporting Amazon 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 Amazon Web Services Regions. See the Other considerations topic for information about availability of EMR Serverless in Amazon Web Services Regions.

Amazon CloudFormation template and additional resources

You use a CloudFormation template to deploy this sample project. This template creates the following resources in your Amazon Web Services 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 Amazon Web 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 and provision resources

  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. Step Functions lists the Amazon Web Services used in the sample project you selected. It also shows a workflow graph for the sample project. Deploy this project to your Amazon Web Services account or use it as a starting point for building your own projects. Based on how you want to proceed, choose Run a demo or Build on it.

    This sample project deploys the following resources:

    • A Step Functions state machine

    • Related Amazon Identity and Access Management (IAM) roles

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

    Workflow graph of the Run an EMR Serverless job sample project.

  5. Choose Use template to continue with your selection.

  6. Do one of the following:

    • If you selected Build on it, Step Functions creates the workflow prototype for the sample project you selected. Step Functions doesn't deploy the resources listed in the workflow definition.

      In Workflow Studio's Design mode, drag and drop states from the States browser to continue building your workflow protoype. Or switch to the Code mode that provides an integrated code editor similar to VS Code for updating the Amazon States Language (ASL) definition of your state machine within the Step Functions console. For more information about using Workflow Studio to build your state machines, see Using Workflow Studio.

      Important

      Remember to update the placeholder Amazon Resource Name (ARN) for the resources used in the sample project before you run your workflow.

    • If you selected Run a demo, Step Functions creates a read-only sample project which uses an Amazon CloudFormation template to deploy the Amazon resources listed in that template to your Amazon Web Services account.

      Tip

      To view the state machine definition of the sample project, choose Code.

      When you're ready, choose Deploy and run to deploy the sample project and create the resources.

      It can take up to 10 minutes for these resources and related IAM permissions to be created. While your resources are being deployed, you can open the CloudFormation Stack ID link to see which resources are being provisioned.

      After all the resources in the sample project are created, you can see the new sample project listed on the State machines page.

      Important

      Standard charges may apply for each service used in the CloudFormation template.

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) To identify your execution, you can specify a name for it in the Name box. By default, Step Functions automatically generates a unique execution name.

      Note

      Step Functions allows you to create names for state machines, executions, activities, and labels that contain non-ASCII characters. These non-ASCII names don't work with Amazon CloudWatch. To ensure that you can track CloudWatch metrics, choose a name that uses only ASCII characters.

    2. (Optional) In the Input box, enter input values in JSON format to run your workflow.

      If you chose to Run a demo, you need not provide any execution input.

    3. Choose Start execution.

    4. The Step Functions console directs you to a page that's titled with your execution ID. This page is known as the Execution Details page. On this page, you can review the execution results as the execution progresses or after it's complete.

      To review the execution results, choose individual states on the Graph view, and then choose the individual tabs on the Step details pane to view each state's details including input, output, and definition respectively. For details about the execution information you can view on the Execution Details page, see Execution Details page – Interface overview.