com.amazonaws.services.elasticmapreduce.model.JobFlowInstancesConfig Java Examples
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com.amazonaws.services.elasticmapreduce.model.JobFlowInstancesConfig.
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Example #1
Source File: EmrIT.java From digdag with Apache License 2.0 | 5 votes |
@Test public void test() throws Exception { RunJobFlowRequest request = new RunJobFlowRequest() .withName("Digdag Test") .withReleaseLabel("emr-5.2.0") .withApplications(Stream.of("Hadoop", "Hive", "Spark", "Flink") .map(s -> new Application().withName(s)) .collect(toList())) .withJobFlowRole("EMR_EC2_DefaultRole") .withServiceRole("EMR_DefaultRole") .withVisibleToAllUsers(true) .withLogUri(tmpS3FolderUri + "/logs/") .withInstances(new JobFlowInstancesConfig() .withEc2KeyName("digdag-test") .withInstanceCount(1) .withKeepJobFlowAliveWhenNoSteps(true) .withMasterInstanceType("m3.xlarge") .withSlaveInstanceType("m3.xlarge")); RunJobFlowResult result = emr.runJobFlow(request); String clusterId = result.getJobFlowId(); clusterIds.add(clusterId); Id attemptId = pushAndStart(server.endpoint(), projectDir, "emr", ImmutableMap.of( "test_s3_folder", tmpS3FolderUri.toString(), "test_cluster", clusterId, "outfile", outfile.toString())); expect(Duration.ofMinutes(30), attemptSuccess(server.endpoint(), attemptId)); validateTdSparkQueryOutput(); assertThat(Files.exists(outfile), is(true)); }
Example #2
Source File: EmrClusterJob.java From datacollector with Apache License 2.0 | 5 votes |
@Override public String createCluster(String clusterName) { RunJobFlowRequest request = new RunJobFlowRequest() .withName(clusterName) .withReleaseLabel(EmrInfo.getVersion()) .withServiceRole(emrClusterConfig.getServiceRole()) .withJobFlowRole(emrClusterConfig.getJobFlowRole()) .withVisibleToAllUsers(emrClusterConfig.isVisibleToAllUsers()) .withInstances(new JobFlowInstancesConfig() .withEc2SubnetId(emrClusterConfig.getEc2SubnetId()) .withEmrManagedMasterSecurityGroup(emrClusterConfig.getMasterSecurityGroup()) .withEmrManagedSlaveSecurityGroup(emrClusterConfig.getSlaveSecurityGroup()) .withInstanceCount(emrClusterConfig.getInstanceCount()) .withKeepJobFlowAliveWhenNoSteps(true) .withMasterInstanceType(emrClusterConfig.getMasterInstanceType()) .withSlaveInstanceType(emrClusterConfig.getSlaveInstanceType())); if (emrClusterConfig.isLoggingEnabled()) { request.withLogUri(emrClusterConfig.getS3LogUri()); if (emrClusterConfig.isEnableEmrDebugging()) { String COMMAND_RUNNER = "command-runner.jar"; String DEBUGGING_COMMAND = "state-pusher-script"; String DEBUGGING_NAME = "Setup Hadoop Debugging"; StepConfig enabledebugging = new StepConfig() .withName(DEBUGGING_NAME) .withActionOnFailure(ActionOnFailure.CONTINUE) .withHadoopJarStep(new HadoopJarStepConfig() .withJar(COMMAND_RUNNER) .withArgs(DEBUGGING_COMMAND)); request.withSteps(enabledebugging); } } RunJobFlowResult result = getEmrClient(emrClusterConfig).runJobFlow(request); return result.getJobFlowId(); }
Example #3
Source File: EmrDaoImpl.java From herd with Apache License 2.0 | 4 votes |
/** * Creates the job flow instance configuration containing specification of the number and type of Amazon EC2 instances. * * @param emrClusterDefinition the EMR cluster definition that contains all the EMR parameters * * @return the job flow instance configuration */ private JobFlowInstancesConfig getJobFlowInstancesConfig(EmrClusterDefinition emrClusterDefinition) { // Create a new job flow instances configuration object. JobFlowInstancesConfig jobFlowInstancesConfig = new JobFlowInstancesConfig(); // Set up master/slave security group jobFlowInstancesConfig.setEmrManagedMasterSecurityGroup(emrClusterDefinition.getMasterSecurityGroup()); jobFlowInstancesConfig.setEmrManagedSlaveSecurityGroup(emrClusterDefinition.getSlaveSecurityGroup()); // Set up service access security group jobFlowInstancesConfig.setServiceAccessSecurityGroup(emrClusterDefinition.getServiceAccessSecurityGroup()); // Add additional security groups to master nodes. jobFlowInstancesConfig.setAdditionalMasterSecurityGroups(emrClusterDefinition.getAdditionalMasterSecurityGroups()); // Add additional security groups to slave nodes. jobFlowInstancesConfig.setAdditionalSlaveSecurityGroups(emrClusterDefinition.getAdditionalSlaveSecurityGroups()); // Fill-in the ssh key. if (StringUtils.isNotBlank(emrClusterDefinition.getSshKeyPairName())) { jobFlowInstancesConfig.setEc2KeyName(emrClusterDefinition.getSshKeyPairName()); } // Fill in configuration for the instance groups in a cluster. jobFlowInstancesConfig.setInstanceGroups(getInstanceGroupConfigs(emrClusterDefinition.getInstanceDefinitions())); // Fill in instance fleet configuration. jobFlowInstancesConfig.setInstanceFleets(getInstanceFleets(emrClusterDefinition.getInstanceFleets())); // Fill-in subnet id. if (StringUtils.isNotBlank(emrClusterDefinition.getSubnetId())) { // Use collection of subnet IDs when instance fleet configuration is specified. Otherwise, we expect a single EC2 subnet ID to be passed here. if (CollectionUtils.isNotEmpty(jobFlowInstancesConfig.getInstanceFleets())) { jobFlowInstancesConfig.setEc2SubnetIds(herdStringHelper.splitAndTrim(emrClusterDefinition.getSubnetId(), ",")); } else { jobFlowInstancesConfig.setEc2SubnetId(emrClusterDefinition.getSubnetId()); } } // Fill in optional keep alive flag. if (emrClusterDefinition.isKeepAlive() != null) { jobFlowInstancesConfig.setKeepJobFlowAliveWhenNoSteps(emrClusterDefinition.isKeepAlive()); } // Fill in optional termination protection flag. if (emrClusterDefinition.isTerminationProtection() != null) { jobFlowInstancesConfig.setTerminationProtected(emrClusterDefinition.isTerminationProtection()); } // Fill in optional Hadoop version flag. if (StringUtils.isNotBlank(emrClusterDefinition.getHadoopVersion())) { jobFlowInstancesConfig.setHadoopVersion(emrClusterDefinition.getHadoopVersion()); } // Return the object. return jobFlowInstancesConfig; }
Example #4
Source File: EmrDaoTest.java From herd with Apache License 2.0 | 4 votes |
@Test public void createEmrClusterAssertCallRunEmrJobFlowWithInstanceFleetAndMultipleSubnets() { // Create objects required for testing. final String clusterName = "clusterName"; final String clusterId = "clusterId"; final String name = STRING_VALUE; final String instanceFleetType = STRING_VALUE_2; final Integer targetOnDemandCapacity = INTEGER_VALUE; final Integer targetSpotCapacity = INTEGER_VALUE_2; final List<EmrClusterDefinitionInstanceTypeConfig> emrClusterDefinitionInstanceTypeConfigs = null; final EmrClusterDefinitionLaunchSpecifications emrClusterDefinitionLaunchSpecifications = null; final EmrClusterDefinitionInstanceFleet emrClusterDefinitionInstanceFleet = new EmrClusterDefinitionInstanceFleet(name, instanceFleetType, targetOnDemandCapacity, targetSpotCapacity, emrClusterDefinitionInstanceTypeConfigs, emrClusterDefinitionLaunchSpecifications); // Create an EMR cluster definition with instance fleet configuration and multiple EC2 subnet IDs. EmrClusterDefinition emrClusterDefinition = new EmrClusterDefinition(); emrClusterDefinition.setInstanceFleets(Lists.newArrayList(emrClusterDefinitionInstanceFleet)); emrClusterDefinition.setSubnetId(String.format("%s , %s ", EC2_SUBNET, EC2_SUBNET_2)); emrClusterDefinition.setNodeTags(Lists.newArrayList(new NodeTag("tagName", "tagValue"))); when(mockEmrOperations.runEmrJobFlow(any(), any())).then(new Answer<String>() { @Override public String answer(InvocationOnMock invocation) { // Assert that the given EMR cluster definition produced the correct RunJobFlowRequest. RunJobFlowRequest runJobFlowRequest = invocation.getArgument(1); JobFlowInstancesConfig jobFlowInstancesConfig = runJobFlowRequest.getInstances(); assertEquals(0, CollectionUtils.size(jobFlowInstancesConfig.getInstanceGroups())); final List<InstanceTypeConfig> expectedInstanceTypeConfigs = null; assertEquals(Lists.newArrayList( new InstanceFleetConfig().withName(name).withInstanceFleetType(instanceFleetType).withTargetOnDemandCapacity(targetOnDemandCapacity) .withTargetSpotCapacity(targetSpotCapacity).withInstanceTypeConfigs(expectedInstanceTypeConfigs).withLaunchSpecifications(null)), jobFlowInstancesConfig.getInstanceFleets()); assertNull(jobFlowInstancesConfig.getEc2SubnetId()); assertEquals(2, CollectionUtils.size(jobFlowInstancesConfig.getEc2SubnetIds())); assertTrue(jobFlowInstancesConfig.getEc2SubnetIds().contains(EC2_SUBNET)); assertTrue(jobFlowInstancesConfig.getEc2SubnetIds().contains(EC2_SUBNET_2)); assertEquals(herdStringHelper.getRequiredConfigurationValue(ConfigurationValue.EMR_DEFAULT_EC2_NODE_IAM_PROFILE_NAME), runJobFlowRequest.getJobFlowRole()); assertEquals(herdStringHelper.getRequiredConfigurationValue(ConfigurationValue.EMR_DEFAULT_SERVICE_IAM_ROLE_NAME), runJobFlowRequest.getServiceRole()); List<StepConfig> stepConfigs = runJobFlowRequest.getSteps(); assertEquals(0, stepConfigs.size()); List<Tag> tags = runJobFlowRequest.getTags(); assertEquals(1, tags.size()); { Tag tag = tags.get(0); assertEquals("tagName", tag.getKey()); assertEquals("tagValue", tag.getValue()); } return clusterId; } }); assertEquals(clusterId, emrDao.createEmrCluster(clusterName, emrClusterDefinition, getAwsParamsDto())); }
Example #5
Source File: EmrOperatorFactory.java From digdag with Apache License 2.0 | 4 votes |
private NewCluster submitNewClusterRequest(AmazonElasticMapReduce emr, String tag, StepCompiler stepCompiler, Config cluster, Filer filer, ParameterCompiler parameterCompiler) throws IOException { RemoteFile runner = prepareRunner(filer, tag); // Compile steps stepCompiler.compile(runner); List<StepConfig> stepConfigs = stepCompiler.stepConfigs(); Config ec2 = cluster.getNested("ec2"); Config master = ec2.getNestedOrGetEmpty("master"); List<Config> core = ec2.getOptional("core", Config.class).transform(ImmutableList::of).or(ImmutableList.of()); List<Config> task = ec2.getListOrEmpty("task", Config.class); List<String> applications = cluster.getListOrEmpty("applications", String.class); if (applications.isEmpty()) { applications = ImmutableList.of("Hadoop", "Hive", "Spark", "Flink"); } // TODO: allow configuring additional application parameters List<Application> applicationConfigs = applications.stream() .map(application -> new Application().withName(application)) .collect(toList()); // TODO: merge configurations with the same classification? List<Configuration> configurations = cluster.getListOrEmpty("configurations", JsonNode.class).stream() .map(this::configurations) .flatMap(Collection::stream) .collect(toList()); List<JsonNode> bootstrap = cluster.getListOrEmpty("bootstrap", JsonNode.class); List<BootstrapActionConfig> bootstrapActions = new ArrayList<>(); for (int i = 0; i < bootstrap.size(); i++) { bootstrapActions.add(bootstrapAction(i + 1, bootstrap.get(i), tag, filer, runner, parameterCompiler)); } // Stage files to S3 filer.stageFiles(); Optional<String> subnetId = ec2.getOptional("subnet_id", String.class); String defaultMasterInstanceType; String defaultCoreInstanceType; String defaultTaskInstanceType; if (subnetId.isPresent()) { // m4 requires VPC (subnet id) defaultMasterInstanceType = "m4.2xlarge"; defaultCoreInstanceType = "m4.xlarge"; defaultTaskInstanceType = "m4.xlarge"; } else { defaultMasterInstanceType = "m3.2xlarge"; defaultCoreInstanceType = "m3.xlarge"; defaultTaskInstanceType = "m3.xlarge"; } RunJobFlowRequest request = new RunJobFlowRequest() .withName(cluster.get("name", String.class, "Digdag") + " (" + tag + ")") .withReleaseLabel(cluster.get("release", String.class, "emr-5.2.0")) .withSteps(stepConfigs) .withBootstrapActions(bootstrapActions) .withApplications(applicationConfigs) .withLogUri(cluster.get("logs", String.class, null)) .withJobFlowRole(cluster.get("cluster_role", String.class, "EMR_EC2_DefaultRole")) .withServiceRole(cluster.get("service_role", String.class, "EMR_DefaultRole")) .withTags(new Tag().withKey("DIGDAG_CLUSTER_ID").withValue(tag)) .withVisibleToAllUsers(cluster.get("visible", boolean.class, true)) .withConfigurations(configurations) .withInstances(new JobFlowInstancesConfig() .withInstanceGroups(ImmutableList.<InstanceGroupConfig>builder() // Master Node .add(instanceGroupConfig("Master", master, "MASTER", defaultMasterInstanceType, 1)) // Core Group .addAll(instanceGroupConfigs("Core", core, "CORE", defaultCoreInstanceType)) // Task Groups .addAll(instanceGroupConfigs("Task %d", task, "TASK", defaultTaskInstanceType)) .build() ) .withAdditionalMasterSecurityGroups(ec2.getListOrEmpty("additional_master_security_groups", String.class)) .withAdditionalSlaveSecurityGroups(ec2.getListOrEmpty("additional_slave_security_groups", String.class)) .withEmrManagedMasterSecurityGroup(ec2.get("emr_managed_master_security_group", String.class, null)) .withEmrManagedSlaveSecurityGroup(ec2.get("emr_managed_slave_security_group", String.class, null)) .withServiceAccessSecurityGroup(ec2.get("service_access_security_group", String.class, null)) .withTerminationProtected(cluster.get("termination_protected", boolean.class, false)) .withPlacement(cluster.getOptional("availability_zone", String.class) .transform(zone -> new PlacementType().withAvailabilityZone(zone)).orNull()) .withEc2SubnetId(subnetId.orNull()) .withEc2KeyName(ec2.get("key", String.class)) .withKeepJobFlowAliveWhenNoSteps(!cluster.get("auto_terminate", boolean.class, true))); logger.info("Submitting EMR job with {} steps(s)", request.getSteps().size()); RunJobFlowResult result = emr.runJobFlow(request); logger.info("Submitted EMR job with {} step(s): {}", request.getSteps().size(), result.getJobFlowId(), result); return NewCluster.of(result.getJobFlowId(), request.getSteps().size()); }
Example #6
Source File: EMRUtils.java From aws-big-data-blog with Apache License 2.0 | 4 votes |
/** * This method uses method the AWS Java to launch an Apache HBase cluster on Amazon EMR. * * @param client - AmazonElasticMapReduce client that interfaces directly with the Amazon EMR Web Service * @param clusterIdentifier - identifier of an existing cluster * @param amiVersion - AMI to use for launching this cluster * @param keypair - A keypair for SSHing into the Amazon EMR master node * @param masterInstanceType - Master node Amazon EC2 instance type * @param coreInstanceType - core nodes Amazon EC2 instance type * @param logUri - An Amazon S3 bucket for your * @param numberOfNodes - total number of nodes in this cluster including master node * @return */ public static String createCluster(AmazonElasticMapReduce client, String clusterIdentifier, String amiVersion, String keypair, String masterInstanceType, String coreInstanceType, String logUri, int numberOfNodes) { if (clusterExists(client, clusterIdentifier)) { LOG.info("Cluster " + clusterIdentifier + " is available"); return clusterIdentifier; } //Error checking if (amiVersion == null || amiVersion.isEmpty()) throw new RuntimeException("ERROR: Please specify an AMI Version"); if (keypair == null || keypair.isEmpty()) throw new RuntimeException("ERROR: Please specify a valid Amazon Key Pair"); if (masterInstanceType == null || masterInstanceType.isEmpty()) throw new RuntimeException("ERROR: Please specify a Master Instance Type"); if (logUri == null || logUri.isEmpty()) throw new RuntimeException("ERROR: Please specify a valid Amazon S3 bucket for your logs."); if (numberOfNodes < 0) throw new RuntimeException("ERROR: Please specify at least 1 node"); RunJobFlowRequest request = new RunJobFlowRequest() .withAmiVersion(amiVersion) .withBootstrapActions(new BootstrapActionConfig() .withName("Install HBase") .withScriptBootstrapAction(new ScriptBootstrapActionConfig() .withPath("s3://elasticmapreduce/bootstrap-actions/setup-hbase"))) .withName("Job Flow With HBAse Actions") .withSteps(new StepConfig() //enable debugging step .withName("Enable debugging") .withActionOnFailure("TERMINATE_CLUSTER") .withHadoopJarStep(new StepFactory().newEnableDebuggingStep()), //Start HBase step - after installing it with a bootstrap action createStepConfig("Start HBase","TERMINATE_CLUSTER", "/home/hadoop/lib/hbase.jar", getHBaseArgs()), //add HBase backup step createStepConfig("Modify backup schedule","TERMINATE_JOB_FLOW", "/home/hadoop/lib/hbase.jar", getHBaseBackupArgs())) .withLogUri(logUri) .withInstances(new JobFlowInstancesConfig() .withEc2KeyName(keypair) .withInstanceCount(numberOfNodes) .withKeepJobFlowAliveWhenNoSteps(true) .withMasterInstanceType(masterInstanceType) .withSlaveInstanceType(coreInstanceType)); RunJobFlowResult result = client.runJobFlow(request); String state = null; while (!(state = clusterState(client, result.getJobFlowId())).equalsIgnoreCase("waiting")) { try { Thread.sleep(10 * 1000); LOG.info(result.getJobFlowId() + " is " + state + ". Waiting for cluster to become available."); } catch (InterruptedException e) { } if (state.equalsIgnoreCase("TERMINATED_WITH_ERRORS")){ LOG.error("Could not create EMR Cluster"); System.exit(-1); } } LOG.info("Created cluster " + result.getJobFlowId()); LOG.info("Cluster " + clusterIdentifier + " is available"); return result.getJobFlowId(); }