AWS Code Sample
Catalog demonstrates how to create a long-running Amazon EMR cluster with a list of applications installed and debugging enabled.

/** * Copyright 2010-2019, Inc. or its affiliates. All Rights Reserved. * * This file is licensed under the Apache License, Version 2.0 (the "License"). * You may not use this file except in compliance with the License. A copy of * the License is located at * * * * This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the * specific language governing permissions and limitations under the License. */ import com.amazonaws.AmazonClientException; import com.amazonaws.auth.AWSCredentials; import com.amazonaws.auth.AWSStaticCredentialsProvider; import com.amazonaws.auth.profile.ProfileCredentialsProvider; import; import; import*; import; 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()); } }

Sample Details

Service: elasticmapreduce

Last tested: 2019-01-31

Author: AWS

Type: full-example

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