Create and manage Amazon EMR clusters on EKS with AWS Step Functions - AWS Step Functions

Create and manage Amazon EMR clusters on EKS with AWS Step Functions

Learn how to integrate AWS Step Functions with Amazon EMR on EKS using the Amazon EMR on EKS service integration APIs. The service integration APIs are the same as the corresponding Amazon EMR on EKS APIs, but not all APIs support all integration patterns, as shown in the following table.

To learn about integrating with AWS services in Step Functions, see Integrating services and Passing parameters to a service API in Step Functions.

How the Optimized Amazon EMR on EKS integration is different than the Amazon EMR on EKS AWS SDK integration
Note

For integration with Amazon EMR, Step Functions has a hard-coded 60 seconds job polling frequency for the first 10 minutes and 300 seconds after that.

API Request response Run a job (.sync)
CreateVirtualCluster Supported Not supported
DeleteVirtualCluster Supported Supported
StartJobRun Supported Supported

Supported Amazon EMR on EKS APIs:

Note

There is a quota for the maximum input or result data size for a task in Step Functions. This restricts you to 256 KiB of data as a UTF-8 encoded string when you send to, or receive data from, another service. See Quotas related to state machine executions.

The following includes a Task state that creates a virtual cluster.

"Create_Virtual_Cluster": {
  "Type": "Task",
  "Resource": "arn:aws:states:::emr-containers:createVirtualCluster",
  "Parameters": {
    "Name": "MyVirtualCluster",
    "ContainerProvider": {
      "Id": "EKSClusterName",
      "Type": "EKS",
      "Info": {
        "EksInfo": {
          "Namespace": "Namespace"
        }
      }
    }
  },
  "End": true
}

The following includes a Task state that submits a job to a virtual cluster and waits for it to complete.

"Submit_Job": {
    "Type": "Task",
    "Resource": "arn:aws:states:::emr-containers:startJobRun.sync",
    "Parameters": {
      "Name": "MyJobName",
      "VirtualClusterId.$": "$.VirtualClusterId",
      "ExecutionRoleArn": "arn:aws:iam::<accountId>:role/job-execution-role",
      "ReleaseLabel": "emr-6.2.0-latest",
      "JobDriver": {
        "SparkSubmitJobDriver": {
          "EntryPoint": "s3://<amzn-s3-demo-bucket>/jobs/trip-count.py",
          "EntryPointArguments": [
            "60"
          ],
          "SparkSubmitParameters": "--conf spark.driver.cores=2 --conf spark.executor.instances=10 --conf spark.kubernetes.pyspark.pythonVersion=3 --conf spark.executor.memory=10G --conf spark.driver.memory=10G --conf spark.executor.cores=1 --conf spark.dynamicAllocation.enabled=false"
        }
      },
      "ConfigurationOverrides": {
        "ApplicationConfiguration": [
          {
            "Classification": "spark-defaults",
            "Properties": {
              "spark.executor.instances": "2",
              "spark.executor.memory": "2G"
            }
          }
        ],
        "MonitoringConfiguration": {
          "PersistentAppUI": "ENABLED",
          "CloudWatchMonitoringConfiguration": {
            "LogGroupName": "MyLogGroupName",
            "LogStreamNamePrefix": "MyLogStreamNamePrefix"
          },
          "S3MonitoringConfiguration": {
            "LogUri": "s3://<amzn-s3-demo-logging-bucket1>"
          }
        }
      },
      "Tags": {
        "taskType": "jobName"
      }
    },
    "End": true
}

The following includes a Task state that deletes a virtual cluster and waits for the deletion to complete.

"Delete_Virtual_Cluster": {
  "Type": "Task",
  "Resource": "arn:aws:states:::emr-containers:deleteVirtualCluster.sync",
  "Parameters": {
    "Id.$": "$.VirtualClusterId"
  },
  "End": true
}

To learn about configuring IAM permissions when using Step Functions with other AWS services, see How Step Functions generates IAM policies for integrated services.