Java 类com.amazonaws.services.elasticmapreduce.model.AddJobFlowStepsResult 实例源码

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);
    };
}

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);
}