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Example 6 with MessagingService

use of co.cask.cdap.messaging.MessagingService in project cdap by caskdata.

the class AppFabricTestBase method initializeAndStartServices.

protected static void initializeAndStartServices(CConfiguration cConf, @Nullable SConfiguration sConf) throws Exception {
    injector = Guice.createInjector(Modules.override(new AppFabricTestModule(cConf, sConf)).with(new AbstractModule() {

        @Override
        protected void configure() {
            // needed because we set Kerberos to true in DefaultNamespaceAdminTest
            bind(UGIProvider.class).to(CurrentUGIProvider.class);
        }
    }));
    messagingService = injector.getInstance(MessagingService.class);
    if (messagingService instanceof Service) {
        ((Service) messagingService).startAndWait();
    }
    txManager = injector.getInstance(TransactionManager.class);
    txManager.startAndWait();
    dsOpService = injector.getInstance(DatasetOpExecutor.class);
    dsOpService.startAndWait();
    remoteSysOpService = injector.getInstance(RemoteSystemOperationsService.class);
    remoteSysOpService.startAndWait();
    datasetService = injector.getInstance(DatasetService.class);
    datasetService.startAndWait();
    appFabricServer = injector.getInstance(AppFabricServer.class);
    appFabricServer.startAndWait();
    DiscoveryServiceClient discoveryClient = injector.getInstance(DiscoveryServiceClient.class);
    ServiceDiscovered appFabricHttpDiscovered = discoveryClient.discover(Constants.Service.APP_FABRIC_HTTP);
    EndpointStrategy endpointStrategy = new RandomEndpointStrategy(appFabricHttpDiscovered);
    port = endpointStrategy.pick(1, TimeUnit.SECONDS).getSocketAddress().getPort();
    txClient = injector.getInstance(TransactionSystemClient.class);
    metricsCollectionService = injector.getInstance(MetricsCollectionService.class);
    metricsCollectionService.startAndWait();
    metricsService = injector.getInstance(MetricsQueryService.class);
    metricsService.startAndWait();
    streamService = injector.getInstance(StreamService.class);
    streamService.startAndWait();
    serviceStore = injector.getInstance(ServiceStore.class);
    serviceStore.startAndWait();
    metadataService = injector.getInstance(MetadataService.class);
    metadataService.startAndWait();
    locationFactory = getInjector().getInstance(LocationFactory.class);
    streamClient = new StreamClient(getClientConfig(discoveryClient, Constants.Service.STREAMS));
    datasetClient = new DatasetClient(getClientConfig(discoveryClient, Constants.Service.DATASET_MANAGER));
    createNamespaces();
}
Also used : StreamService(co.cask.cdap.data.stream.service.StreamService) DiscoveryServiceClient(org.apache.twill.discovery.DiscoveryServiceClient) MetricsQueryService(co.cask.cdap.metrics.query.MetricsQueryService) MetricsCollectionService(co.cask.cdap.api.metrics.MetricsCollectionService) AppFabricServer(co.cask.cdap.internal.app.services.AppFabricServer) MetricsCollectionService(co.cask.cdap.api.metrics.MetricsCollectionService) MetadataService(co.cask.cdap.metadata.MetadataService) Service(com.google.common.util.concurrent.Service) MessagingService(co.cask.cdap.messaging.MessagingService) MetricsQueryService(co.cask.cdap.metrics.query.MetricsQueryService) StreamService(co.cask.cdap.data.stream.service.StreamService) RemoteSystemOperationsService(co.cask.cdap.gateway.handlers.meta.RemoteSystemOperationsService) DatasetService(co.cask.cdap.data2.datafabric.dataset.service.DatasetService) DatasetService(co.cask.cdap.data2.datafabric.dataset.service.DatasetService) DatasetOpExecutor(co.cask.cdap.data2.datafabric.dataset.service.executor.DatasetOpExecutor) RemoteSystemOperationsService(co.cask.cdap.gateway.handlers.meta.RemoteSystemOperationsService) ServiceDiscovered(org.apache.twill.discovery.ServiceDiscovered) MetadataService(co.cask.cdap.metadata.MetadataService) AbstractModule(com.google.inject.AbstractModule) MessagingService(co.cask.cdap.messaging.MessagingService) LocationFactory(org.apache.twill.filesystem.LocationFactory) TransactionSystemClient(org.apache.tephra.TransactionSystemClient) DatasetClient(co.cask.cdap.client.DatasetClient) ServiceStore(co.cask.cdap.app.store.ServiceStore) RandomEndpointStrategy(co.cask.cdap.common.discovery.RandomEndpointStrategy) EndpointStrategy(co.cask.cdap.common.discovery.EndpointStrategy) StreamClient(co.cask.cdap.client.StreamClient) TransactionManager(org.apache.tephra.TransactionManager) CurrentUGIProvider(co.cask.cdap.security.impersonation.CurrentUGIProvider) AppFabricTestModule(co.cask.cdap.internal.guice.AppFabricTestModule) RandomEndpointStrategy(co.cask.cdap.common.discovery.RandomEndpointStrategy)

Example 7 with MessagingService

use of co.cask.cdap.messaging.MessagingService in project cdap by caskdata.

the class MapReduceProgramRunner method run.

@Override
public ProgramController run(final Program program, ProgramOptions options) {
    // Extract and verify parameters
    ApplicationSpecification appSpec = program.getApplicationSpecification();
    Preconditions.checkNotNull(appSpec, "Missing application specification.");
    ProgramType processorType = program.getType();
    Preconditions.checkNotNull(processorType, "Missing processor type.");
    Preconditions.checkArgument(processorType == ProgramType.MAPREDUCE, "Only MAPREDUCE process type is supported.");
    MapReduceSpecification spec = appSpec.getMapReduce().get(program.getName());
    Preconditions.checkNotNull(spec, "Missing MapReduceSpecification for %s", program.getName());
    Arguments arguments = options.getArguments();
    RunId runId = ProgramRunners.getRunId(options);
    WorkflowProgramInfo workflowInfo = WorkflowProgramInfo.create(arguments);
    DatasetFramework programDatasetFramework = workflowInfo == null ? datasetFramework : NameMappedDatasetFramework.createFromWorkflowProgramInfo(datasetFramework, workflowInfo, appSpec);
    // Setup dataset framework context, if required
    if (programDatasetFramework instanceof ProgramContextAware) {
        ProgramId programId = program.getId();
        ((ProgramContextAware) programDatasetFramework).setContext(new BasicProgramContext(programId.run(runId)));
    }
    MapReduce mapReduce;
    try {
        mapReduce = new InstantiatorFactory(false).get(TypeToken.of(program.<MapReduce>getMainClass())).create();
    } catch (Exception e) {
        LOG.error("Failed to instantiate MapReduce class for {}", spec.getClassName(), e);
        throw Throwables.propagate(e);
    }
    // List of all Closeable resources that needs to be cleanup
    List<Closeable> closeables = new ArrayList<>();
    try {
        PluginInstantiator pluginInstantiator = createPluginInstantiator(options, program.getClassLoader());
        if (pluginInstantiator != null) {
            closeables.add(pluginInstantiator);
        }
        final BasicMapReduceContext context = new BasicMapReduceContext(program, options, cConf, spec, workflowInfo, discoveryServiceClient, metricsCollectionService, txSystemClient, programDatasetFramework, streamAdmin, getPluginArchive(options), pluginInstantiator, secureStore, secureStoreManager, messagingService);
        closeables.add(context);
        Reflections.visit(mapReduce, mapReduce.getClass(), new PropertyFieldSetter(context.getSpecification().getProperties()), new MetricsFieldSetter(context.getMetrics()), new DataSetFieldSetter(context));
        // note: this sets logging context on the thread level
        LoggingContextAccessor.setLoggingContext(context.getLoggingContext());
        // Set the job queue to hConf if it is provided
        Configuration hConf = new Configuration(this.hConf);
        String schedulerQueue = options.getArguments().getOption(Constants.AppFabric.APP_SCHEDULER_QUEUE);
        if (schedulerQueue != null && !schedulerQueue.isEmpty()) {
            hConf.set(JobContext.QUEUE_NAME, schedulerQueue);
        }
        Service mapReduceRuntimeService = new MapReduceRuntimeService(injector, cConf, hConf, mapReduce, spec, context, program.getJarLocation(), locationFactory, streamAdmin, authorizationEnforcer, authenticationContext);
        mapReduceRuntimeService.addListener(createRuntimeServiceListener(closeables), Threads.SAME_THREAD_EXECUTOR);
        ProgramController controller = new MapReduceProgramController(mapReduceRuntimeService, context);
        LOG.debug("Starting MapReduce Job: {}", context);
        // be running the job, but the data directory will be owned by cdap.
        if (MapReduceTaskContextProvider.isLocal(hConf) || UserGroupInformation.isSecurityEnabled()) {
            mapReduceRuntimeService.start();
        } else {
            ProgramRunners.startAsUser(cConf.get(Constants.CFG_HDFS_USER), mapReduceRuntimeService);
        }
        return controller;
    } catch (Exception e) {
        closeAllQuietly(closeables);
        throw Throwables.propagate(e);
    }
}
Also used : ApplicationSpecification(co.cask.cdap.api.app.ApplicationSpecification) CConfiguration(co.cask.cdap.common.conf.CConfiguration) Configuration(org.apache.hadoop.conf.Configuration) Closeable(java.io.Closeable) ArrayList(java.util.ArrayList) MapReduce(co.cask.cdap.api.mapreduce.MapReduce) NameMappedDatasetFramework(co.cask.cdap.internal.app.runtime.workflow.NameMappedDatasetFramework) DatasetFramework(co.cask.cdap.data2.dataset2.DatasetFramework) InstantiatorFactory(co.cask.cdap.common.lang.InstantiatorFactory) MetricsFieldSetter(co.cask.cdap.internal.app.runtime.MetricsFieldSetter) ProgramType(co.cask.cdap.proto.ProgramType) RunId(org.apache.twill.api.RunId) ProgramController(co.cask.cdap.app.runtime.ProgramController) MapReduceSpecification(co.cask.cdap.api.mapreduce.MapReduceSpecification) Arguments(co.cask.cdap.app.runtime.Arguments) MessagingService(co.cask.cdap.messaging.MessagingService) MetricsCollectionService(co.cask.cdap.api.metrics.MetricsCollectionService) Service(com.google.common.util.concurrent.Service) ProgramId(co.cask.cdap.proto.id.ProgramId) BasicProgramContext(co.cask.cdap.internal.app.runtime.BasicProgramContext) DataSetFieldSetter(co.cask.cdap.internal.app.runtime.DataSetFieldSetter) PropertyFieldSetter(co.cask.cdap.common.lang.PropertyFieldSetter) WorkflowProgramInfo(co.cask.cdap.internal.app.runtime.workflow.WorkflowProgramInfo) PluginInstantiator(co.cask.cdap.internal.app.runtime.plugin.PluginInstantiator) ProgramContextAware(co.cask.cdap.data.ProgramContextAware)

Example 8 with MessagingService

use of co.cask.cdap.messaging.MessagingService in project cdap by caskdata.

the class MapReduceTaskContextProvider method createCacheLoader.

/**
 * Creates a {@link CacheLoader} for the task context cache.
 */
private CacheLoader<ContextCacheKey, BasicMapReduceTaskContext> createCacheLoader(final Injector injector) {
    final DiscoveryServiceClient discoveryServiceClient = injector.getInstance(DiscoveryServiceClient.class);
    final DatasetFramework datasetFramework = injector.getInstance(DatasetFramework.class);
    final SecureStore secureStore = injector.getInstance(SecureStore.class);
    final SecureStoreManager secureStoreManager = injector.getInstance(SecureStoreManager.class);
    final MessagingService messagingService = injector.getInstance(MessagingService.class);
    // Multiple instances of BasicMapReduceTaskContext can share the same program.
    final AtomicReference<Program> programRef = new AtomicReference<>();
    return new CacheLoader<ContextCacheKey, BasicMapReduceTaskContext>() {

        @Override
        public BasicMapReduceTaskContext load(ContextCacheKey key) throws Exception {
            TaskAttemptID taskAttemptId = key.getTaskAttemptID();
            // taskAttemptId could be null if used from a org.apache.hadoop.mapreduce.Partitioner or
            // from a org.apache.hadoop.io.RawComparator, in which case we can get the JobId from the conf. Note that the
            // JobId isn't in the conf for the OutputCommitter#setupJob method, in which case we use the taskAttemptId
            Path txFile = MainOutputCommitter.getTxFile(key.getConfiguration(), taskAttemptId != null ? taskAttemptId.getJobID() : null);
            FileSystem fs = txFile.getFileSystem(key.getConfiguration());
            Preconditions.checkArgument(fs.exists(txFile));
            Transaction tx;
            try (FSDataInputStream txFileInputStream = fs.open(txFile)) {
                byte[] txByteArray = ByteStreams.toByteArray(txFileInputStream);
                tx = new TransactionCodec().decode(txByteArray);
            }
            MapReduceContextConfig contextConfig = new MapReduceContextConfig(key.getConfiguration());
            MapReduceClassLoader classLoader = MapReduceClassLoader.getFromConfiguration(key.getConfiguration());
            Program program = programRef.get();
            if (program == null) {
                // Creation of program is relatively cheap, so just create and do compare and set.
                programRef.compareAndSet(null, createProgram(contextConfig, classLoader.getProgramClassLoader()));
                program = programRef.get();
            }
            WorkflowProgramInfo workflowInfo = contextConfig.getWorkflowProgramInfo();
            DatasetFramework programDatasetFramework = workflowInfo == null ? datasetFramework : NameMappedDatasetFramework.createFromWorkflowProgramInfo(datasetFramework, workflowInfo, program.getApplicationSpecification());
            // Setup dataset framework context, if required
            if (programDatasetFramework instanceof ProgramContextAware) {
                ProgramRunId programRunId = program.getId().run(ProgramRunners.getRunId(contextConfig.getProgramOptions()));
                ((ProgramContextAware) programDatasetFramework).setContext(new BasicProgramContext(programRunId));
            }
            MapReduceSpecification spec = program.getApplicationSpecification().getMapReduce().get(program.getName());
            MetricsCollectionService metricsCollectionService = null;
            MapReduceMetrics.TaskType taskType = null;
            String taskId = null;
            ProgramOptions options = contextConfig.getProgramOptions();
            // from a org.apache.hadoop.io.RawComparator
            if (taskAttemptId != null) {
                taskId = taskAttemptId.getTaskID().toString();
                if (MapReduceMetrics.TaskType.hasType(taskAttemptId.getTaskType())) {
                    taskType = MapReduceMetrics.TaskType.from(taskAttemptId.getTaskType());
                    // if this is not for a mapper or a reducer, we don't need the metrics collection service
                    metricsCollectionService = injector.getInstance(MetricsCollectionService.class);
                    options = new SimpleProgramOptions(options.getProgramId(), options.getArguments(), new BasicArguments(RuntimeArguments.extractScope("task", taskType.toString().toLowerCase(), contextConfig.getProgramOptions().getUserArguments().asMap())), options.isDebug());
                }
            }
            CConfiguration cConf = injector.getInstance(CConfiguration.class);
            TransactionSystemClient txClient = injector.getInstance(TransactionSystemClient.class);
            return new BasicMapReduceTaskContext(program, options, cConf, taskType, taskId, spec, workflowInfo, discoveryServiceClient, metricsCollectionService, txClient, tx, programDatasetFramework, classLoader.getPluginInstantiator(), contextConfig.getLocalizedResources(), secureStore, secureStoreManager, authorizationEnforcer, authenticationContext, messagingService, mapReduceClassLoader);
        }
    };
}
Also used : DiscoveryServiceClient(org.apache.twill.discovery.DiscoveryServiceClient) TaskAttemptID(org.apache.hadoop.mapreduce.TaskAttemptID) NameMappedDatasetFramework(co.cask.cdap.internal.app.runtime.workflow.NameMappedDatasetFramework) DatasetFramework(co.cask.cdap.data2.dataset2.DatasetFramework) TransactionSystemClient(org.apache.tephra.TransactionSystemClient) FileSystem(org.apache.hadoop.fs.FileSystem) SecureStoreManager(co.cask.cdap.api.security.store.SecureStoreManager) BasicArguments(co.cask.cdap.internal.app.runtime.BasicArguments) MapReduceMetrics(co.cask.cdap.app.metrics.MapReduceMetrics) Path(org.apache.hadoop.fs.Path) Program(co.cask.cdap.app.program.Program) DefaultProgram(co.cask.cdap.app.program.DefaultProgram) MetricsCollectionService(co.cask.cdap.api.metrics.MetricsCollectionService) MapReduceSpecification(co.cask.cdap.api.mapreduce.MapReduceSpecification) AtomicReference(java.util.concurrent.atomic.AtomicReference) BasicProgramContext(co.cask.cdap.internal.app.runtime.BasicProgramContext) SecureStore(co.cask.cdap.api.security.store.SecureStore) CConfiguration(co.cask.cdap.common.conf.CConfiguration) SimpleProgramOptions(co.cask.cdap.internal.app.runtime.SimpleProgramOptions) ProgramOptions(co.cask.cdap.app.runtime.ProgramOptions) MessagingService(co.cask.cdap.messaging.MessagingService) Transaction(org.apache.tephra.Transaction) WorkflowProgramInfo(co.cask.cdap.internal.app.runtime.workflow.WorkflowProgramInfo) TransactionCodec(org.apache.tephra.TransactionCodec) FSDataInputStream(org.apache.hadoop.fs.FSDataInputStream) CacheLoader(com.google.common.cache.CacheLoader) ProgramRunId(co.cask.cdap.proto.id.ProgramRunId) SimpleProgramOptions(co.cask.cdap.internal.app.runtime.SimpleProgramOptions) ProgramContextAware(co.cask.cdap.data.ProgramContextAware)

Example 9 with MessagingService

use of co.cask.cdap.messaging.MessagingService in project cdap by caskdata.

the class AppFabricTestHelper method getInjector.

public static synchronized Injector getInjector(CConfiguration conf, @Nullable SConfiguration sConf, Module overrides) {
    if (injector == null) {
        configuration = conf;
        configuration.set(Constants.CFG_LOCAL_DATA_DIR, TEMP_FOLDER.newFolder("data").getAbsolutePath());
        configuration.set(Constants.AppFabric.REST_PORT, Integer.toString(Networks.getRandomPort()));
        configuration.setBoolean(Constants.Dangerous.UNRECOVERABLE_RESET, true);
        // Speed up tests
        configuration.setLong(Constants.Scheduler.EVENT_POLL_DELAY_MILLIS, 100L);
        configuration.setLong(Constants.AppFabric.STATUS_EVENT_POLL_DELAY_MILLIS, 100L);
        injector = Guice.createInjector(Modules.override(new AppFabricTestModule(configuration, sConf)).with(overrides));
        MessagingService messagingService = injector.getInstance(MessagingService.class);
        if (messagingService instanceof Service) {
            ((Service) messagingService).startAndWait();
        }
        injector.getInstance(TransactionManager.class).startAndWait();
        injector.getInstance(DatasetOpExecutor.class).startAndWait();
        injector.getInstance(DatasetService.class).startAndWait();
        injector.getInstance(StreamCoordinatorClient.class).startAndWait();
        injector.getInstance(NotificationService.class).startAndWait();
        injector.getInstance(MetricsCollectionService.class).startAndWait();
        injector.getInstance(ProgramNotificationSubscriberService.class).startAndWait();
        Scheduler programScheduler = injector.getInstance(Scheduler.class);
        if (programScheduler instanceof Service) {
            ((Service) programScheduler).startAndWait();
        }
        // Wait for the scheduler to be functional.
        if (programScheduler instanceof CoreSchedulerService) {
            try {
                ((CoreSchedulerService) programScheduler).waitUntilFunctional(10, TimeUnit.SECONDS);
            } catch (Exception e) {
                throw new RuntimeException(e);
            }
        }
    }
    return injector;
}
Also used : MetricsCollectionService(co.cask.cdap.api.metrics.MetricsCollectionService) Scheduler(co.cask.cdap.scheduler.Scheduler) MessagingService(co.cask.cdap.messaging.MessagingService) MetricsCollectionService(co.cask.cdap.api.metrics.MetricsCollectionService) ProgramNotificationSubscriberService(co.cask.cdap.internal.app.services.ProgramNotificationSubscriberService) NotificationService(co.cask.cdap.notifications.service.NotificationService) CoreSchedulerService(co.cask.cdap.scheduler.CoreSchedulerService) DatasetService(co.cask.cdap.data2.datafabric.dataset.service.DatasetService) Service(com.google.common.util.concurrent.Service) StreamCoordinatorClient(co.cask.cdap.data.stream.StreamCoordinatorClient) DatasetService(co.cask.cdap.data2.datafabric.dataset.service.DatasetService) NotificationService(co.cask.cdap.notifications.service.NotificationService) DatasetOpExecutor(co.cask.cdap.data2.datafabric.dataset.service.executor.DatasetOpExecutor) ProgramNotificationSubscriberService(co.cask.cdap.internal.app.services.ProgramNotificationSubscriberService) IOException(java.io.IOException) NamespaceAlreadyExistsException(co.cask.cdap.common.NamespaceAlreadyExistsException) MessagingService(co.cask.cdap.messaging.MessagingService) TransactionManager(org.apache.tephra.TransactionManager) CoreSchedulerService(co.cask.cdap.scheduler.CoreSchedulerService) AppFabricTestModule(co.cask.cdap.internal.guice.AppFabricTestModule)

Example 10 with MessagingService

use of co.cask.cdap.messaging.MessagingService in project cdap by caskdata.

the class MessagingServiceTwillRunnable method addServices.

@Override
protected void addServices(List<? super Service> services) {
    MessagingService messagingService = injector.getInstance(MessagingService.class);
    if (messagingService instanceof Service) {
        services.add((Service) messagingService);
    }
    services.add(injector.getInstance(MessagingHttpService.class));
}
Also used : MessagingService(co.cask.cdap.messaging.MessagingService) MessagingHttpService(co.cask.cdap.messaging.server.MessagingHttpService) Service(com.google.common.util.concurrent.Service) MessagingHttpService(co.cask.cdap.messaging.server.MessagingHttpService) MessagingService(co.cask.cdap.messaging.MessagingService)

Aggregations

MessagingService (co.cask.cdap.messaging.MessagingService)18 Service (com.google.common.util.concurrent.Service)17 MetricsCollectionService (co.cask.cdap.api.metrics.MetricsCollectionService)14 DatasetService (co.cask.cdap.data2.datafabric.dataset.service.DatasetService)8 MetricsQueryService (co.cask.cdap.metrics.query.MetricsQueryService)6 CConfiguration (co.cask.cdap.common.conf.CConfiguration)5 IOException (java.io.IOException)4 ProgramContextAware (co.cask.cdap.data.ProgramContextAware)3 StreamService (co.cask.cdap.data.stream.service.StreamService)3 DatasetOpExecutor (co.cask.cdap.data2.datafabric.dataset.service.executor.DatasetOpExecutor)3 DatasetFramework (co.cask.cdap.data2.dataset2.DatasetFramework)3 ExploreExecutorService (co.cask.cdap.explore.executor.ExploreExecutorService)3 BasicProgramContext (co.cask.cdap.internal.app.runtime.BasicProgramContext)3 NameMappedDatasetFramework (co.cask.cdap.internal.app.runtime.workflow.NameMappedDatasetFramework)3 WorkflowProgramInfo (co.cask.cdap.internal.app.runtime.workflow.WorkflowProgramInfo)3 ProgramLifecycleService (co.cask.cdap.internal.app.services.ProgramLifecycleService)3 ProgramNotificationSubscriberService (co.cask.cdap.internal.app.services.ProgramNotificationSubscriberService)3 AppFabricTestModule (co.cask.cdap.internal.guice.AppFabricTestModule)3 NotificationService (co.cask.cdap.notifications.service.NotificationService)3 Injector (com.google.inject.Injector)3