com.amazonaws.services.elasticmapreduce.model.AddJobFlowStepsResult Java Examples

The following examples show how to use com.amazonaws.services.elasticmapreduce.model.AddJobFlowStepsResult. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: EmrClusterJob.java    From datacollector with Apache License 2.0 6 votes vote down vote up 
@Override
public Properties submitJob(Properties jobProps) throws IOException {
  EMRJobConfig emrJobConfig = new EMRJobConfig(jobProps);
  Utils.checkNotNull(emrJobConfig.getClusterId(), "EMR Cluster Id");
  StepConfig stepConfig = new StepConfig()
      .withName(emrJobConfig.getJobName())
      .withActionOnFailure(ActionOnFailure.CONTINUE) // check if action on failure needs to be configurable
      .withHadoopJarStep(new HadoopJarStepConfig()
          .withJar(emrJobConfig.getDriverJarPath())
          .withMainClass(emrJobConfig.getDriverMainClass()).withArgs(
              emrJobConfig.getArchives(),
              emrJobConfig.getLibjars(),
              emrJobConfig.getUniquePrefix(),
              emrJobConfig.getJavaOpts(),
              emrJobConfig.getLogLevel()
          ));
  LOG.debug("Step config is {}", stepConfig.toString());
  AddJobFlowStepsResult addJobFlowStepsResult = getEmrClient(emrClusterConfig).addJobFlowSteps(
      new AddJobFlowStepsRequest()
          .withJobFlowId(emrJobConfig.getClusterId())
          .withSteps(stepConfig));
  String stepId = addJobFlowStepsResult.getStepIds().get(0);
  jobProps.setProperty("stepId", stepId);
  return jobProps;
}
Example #2
Source File: EmrOperatorFactory.java    From digdag with Apache License 2.0 5 votes vote down vote up 
private Submitter existingClusterSubmitter(AmazonElasticMapReduce emr, String tag, StepCompiler stepCompiler, String clusterId, Filer filer)
{
    return () -> {
        List<String> stepIds = pollingRetryExecutor(state, "submission")
                .retryUnless(AmazonServiceException.class, Aws::isDeterministicException)
                .withRetryInterval(DurationInterval.of(Duration.ofSeconds(30), Duration.ofMinutes(5)))
                .runOnce(new TypeReference<List<String>>() {}, s -> {

                    RemoteFile runner = prepareRunner(filer, tag);

                    // Compile steps
                    stepCompiler.compile(runner);

                    // Stage files to S3
                    filer.stageFiles();

                    AddJobFlowStepsRequest request = new AddJobFlowStepsRequest()
                            .withJobFlowId(clusterId)
                            .withSteps(stepCompiler.stepConfigs());

                    int steps = request.getSteps().size();
                    logger.info("Submitting {} EMR step(s) to {}", steps, clusterId);
                    AddJobFlowStepsResult result = emr.addJobFlowSteps(request);
                    logSubmittedSteps(clusterId, steps, i -> request.getSteps().get(i).getName(), i -> result.getStepIds().get(i));
                    return ImmutableList.copyOf(result.getStepIds());
                });

        return SubmissionResult.ofExistingCluster(clusterId, stepIds);
    };
}
Example #3
Source File: LambdaContainer.java    From aws-big-data-blog with Apache License 2.0 5 votes vote down vote up 
protected String fireEMRJob(String paramsStr,String clusterId){
	StepFactory stepFactory = new StepFactory();
	AmazonElasticMapReduceClient emr = new AmazonElasticMapReduceClient();
	emr.setRegion(Region.getRegion(Regions.fromName(System.getenv().get("AWS_REGION"))));
	Application sparkConfig = new Application()
			.withName("Spark");
	
	String[] params = paramsStr.split(",");
	StepConfig enabledebugging = new StepConfig()
			.withName("Enable debugging")
			.withActionOnFailure("TERMINATE_JOB_FLOW")
			.withHadoopJarStep(stepFactory.newEnableDebuggingStep());
	
	HadoopJarStepConfig sparkStepConf = new HadoopJarStepConfig()
			.withJar("command-runner.jar")
			.withArgs(params);	
	
	final StepConfig sparkStep = new StepConfig()
			.withName("Spark Step")
			.withActionOnFailure("CONTINUE")
			.withHadoopJarStep(sparkStepConf);

	
	AddJobFlowStepsRequest request = new AddJobFlowStepsRequest(clusterId)
			.withSteps(new ArrayList<StepConfig>(){{add(sparkStep);}});
			

	AddJobFlowStepsResult result = emr.addJobFlowSteps(request);
	return result.getStepIds().get(0);
}