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import com.amazonaws.services.elasticmapreduce.model.*; import com.amazonaws.services.elasticmapreduce.util.StepFactory; public class Main { public static void main(String[] args) { AWSCredentials credentials_profile = null; try { credentials_profile = new ProfileCredentialsProvider("default").getCredentials(); // specifies any named profile in .aws/credentials as the credentials provider } catch (Exception e) { throw new AmazonClientException( "Cannot load credentials from .aws/credentials file. " + "Make sure that the credentials file exists and that the profile name is defined within it.", e); } // create an EMR client using the credentials and region specified in order to create the cluster AmazonElasticMapReduce emr = AmazonElasticMapReduceClientBuilder.standard() .withCredentials(new AWSStaticCredentialsProvider(credentials_profile)) .withRegion(Regions.US_WEST_1) .build(); // create a step to enable debugging in the AWS Management Console StepFactory stepFactory = new StepFactory(); StepConfig enabledebugging = new StepConfig() .withName("Enable debugging") .withActionOnFailure("TERMINATE_JOB_FLOW") .withHadoopJarStep(stepFactory.newEnableDebuggingStep()); // specify applications to be installed and configured when EMR creates the cluster Application hive = new Application().withName("Hive"); Application spark = new Application().withName("Spark"); Application ganglia = new Application().withName("Ganglia"); Application zeppelin = new Application().withName("Zeppelin"); // create the cluster RunJobFlowRequest request = new RunJobFlowRequest() .withName("MyClusterCreatedFromJava") .withReleaseLabel("emr-5.20.0") // specifies the EMR release version label, we recommend the latest release .withSteps(enabledebugging) .withApplications(hive,spark,ganglia,zeppelin) .withLogUri("s3://path/to/my/emr/logs") // a URI in S3 for log files is required when debugging is enabled .withServiceRole("EMR_DefaultRole") // replace the default with a custom IAM service role if one is used .withJobFlowRole("EMR_EC2_DefaultRole") // replace the default with a custom EMR role for the EC2 instance profile if one is used .withInstances(new JobFlowInstancesConfig() .withEc2SubnetId("subnet-12ab34c56") .withEc2KeyName("myEc2Key") .withInstanceCount(3) .withKeepJobFlowAliveWhenNoSteps(true) .withMasterInstanceType("m4.large") .withSlaveInstanceType("m4.large")); RunJobFlowResult result = emr.runJobFlow(request); System.out.println("The cluster ID is " + result.toString()); } 387
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Amazon EMR Management Guide Using the AWS SDK for Java to Create an Amazon EMR Cluster } At minimum, you must pass a service role and jobflow role corresponding to EMR_DefaultRole and EMR_EC2_DefaultRole, respectively. You can do this by invoking this AWS CLI command for the same account. First, look to see if the roles already exist: aws iam list-roles | grep EMR Both the instance profile (EMR_EC2_DefaultRole) and the service role (EMR_DefaultRole) will be displayed if they exist: "RoleName": "EMR_DefaultRole", "Arn": "arn:aws:iam:: AccountID :role/EMR_DefaultRole" "RoleName": "EMR_EC2_DefaultRole", "Arn": "arn:aws:iam:: AccountID :role/EMR_EC2_DefaultRole" If the default roles do not exist, you can use the following AWS CLI command to create them: aws emr create-default-roles 388
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Amazon EMR Management Guide AWS Glossary For the latest AWS terminology, see the AWS Glossary in the AWS General Reference .
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  • Spring '12
  • LauraParker
  • Amazon Web Services, Amazon Elastic Compute Cloud

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