Examples with Service com.google.common.util.concurrent.Service used on opensource projects

Example 16 with Service

use of com.google.common.util.concurrent.Service in project cdap by caskdata.

the class ResourceBalancerService method createResourceHandler.

private ResourceHandler createResourceHandler(Discoverable discoverable) {
    return new ResourceHandler(discoverable) {

        private Service service;

        @Override
        public void onChange(Collection<PartitionReplica> partitionReplicas) {
            Set<Integer> partitions = Sets.newHashSet();
            for (PartitionReplica replica : partitionReplicas) {
                partitions.add(Integer.valueOf(replica.getName()));
            }
            LOG.info("Partitions changed {}, service: {}", partitions, serviceName);
            try {
                if (service != null) {
                    service.stopAndWait();
                }
                if (partitions.isEmpty() || !election.isRunning()) {
                    service = null;
                } else {
                    service = createService(partitions);
                    service.startAndWait();
                }
            } catch (Throwable t) {
                LOG.error("Failed to change partitions, service: {}.", serviceName, t);
                completion.setException(t);
                stop();
            }
        }

        @Override
        public void finished(Throwable failureCause) {
            try {
                if (service != null) {
                    service.stopAndWait();
                    service = null;
                }
                completion.set(null);
            } catch (Throwable t) {
                LOG.error("Exception when stopping service {}", service, t);
                Throwable cause = failureCause == null ? t : failureCause;
                if (cause != t) {
                    cause.addSuppressed(t);
                }
                completion.setException(t);
            // No need to call stop as this callback only happen during shutdown of this service
            }
        }
    };
}

Example 17 with Service

use of com.google.common.util.concurrent.Service in project cdap by caskdata.

the class ServiceProgramRunner method run.

@Override
public ProgramController run(Program program, ProgramOptions options) {
    int instanceId = Integer.parseInt(options.getArguments().getOption(ProgramOptionConstants.INSTANCE_ID, "-1"));
    Preconditions.checkArgument(instanceId >= 0, "Missing instance Id");
    int instanceCount = Integer.parseInt(options.getArguments().getOption(ProgramOptionConstants.INSTANCES, "0"));
    Preconditions.checkArgument(instanceCount > 0, "Invalid or missing instance count");
    RunId runId = ProgramRunners.getRunId(options);
    ApplicationSpecification appSpec = program.getApplicationSpecification();
    Preconditions.checkNotNull(appSpec, "Missing application specification.");
    ProgramType programType = program.getType();
    Preconditions.checkNotNull(programType, "Missing processor type.");
    Preconditions.checkArgument(programType == ProgramType.SERVICE, "Only Service process type is supported.");
    ServiceSpecification spec = appSpec.getServices().get(program.getName());
    String host = options.getArguments().getOption(ProgramOptionConstants.HOST);
    Preconditions.checkArgument(host != null, "No hostname is provided");
    // Setup dataset framework context, if required
    if (datasetFramework instanceof ProgramContextAware) {
        ProgramId programId = program.getId();
        ((ProgramContextAware) datasetFramework).setContext(new BasicProgramContext(programId.run(runId)));
    }
    final PluginInstantiator pluginInstantiator = createPluginInstantiator(options, program.getClassLoader());
    try {
        ServiceHttpServer component = new ServiceHttpServer(host, program, options, cConf, spec, instanceId, instanceCount, serviceAnnouncer, metricsCollectionService, datasetFramework, txClient, discoveryServiceClient, pluginInstantiator, secureStore, secureStoreManager, messagingService, defaultArtifactManager);
        // Add a service listener to make sure the plugin instantiator is closed when the http server is finished.
        component.addListener(new ServiceListenerAdapter() {

            @Override
            public void terminated(Service.State from) {
                Closeables.closeQuietly(pluginInstantiator);
            }

            @Override
            public void failed(Service.State from, Throwable failure) {
                Closeables.closeQuietly(pluginInstantiator);
            }
        }, Threads.SAME_THREAD_EXECUTOR);
        ProgramController controller = new ServiceProgramControllerAdapter(component, program.getId(), runId, spec.getName() + "-" + instanceId);
        component.start();
        return controller;
    } catch (Throwable t) {
        Closeables.closeQuietly(pluginInstantiator);
        throw t;
    }
}

Example 18 with Service

use of com.google.common.util.concurrent.Service 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);
        injector = Guice.createInjector(Modules.override(new AppFabricTestModule(configuration, sConf)).with(overrides));
        if (configuration.getBoolean(Constants.Security.ENABLED) && configuration.getBoolean(Constants.Security.Authorization.ENABLED)) {
            injector.getInstance(AuthorizationBootstrapper.class).run();
        }
        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();
        Scheduler programScheduler = injector.getInstance(Scheduler.class);
        if (programScheduler instanceof Service) {
            ((Service) programScheduler).startAndWait();
        }
    }
    return injector;
}

Example 19 with Service

use of com.google.common.util.concurrent.Service in project cdap by caskdata.

the class SparkRuntimeContextProvider method createIfNotExists.

/**
   * Creates a singleton {@link SparkRuntimeContext}.
   * It has assumption on file location that are localized by the SparkRuntimeService.
   */
private static synchronized SparkRuntimeContext createIfNotExists() {
    if (sparkRuntimeContext != null) {
        return sparkRuntimeContext;
    }
    try {
        CConfiguration cConf = createCConf();
        Configuration hConf = createHConf();
        SparkRuntimeContextConfig contextConfig = new SparkRuntimeContextConfig(hConf);
        // Should be yarn only and only for executor node, not the driver node.
        Preconditions.checkState(!contextConfig.isLocal() && Boolean.parseBoolean(System.getenv("SPARK_YARN_MODE")), "SparkContextProvider.getSparkContext should only be called in Spark executor process.");
        // Create the program
        Program program = createProgram(cConf, contextConfig);
        Injector injector = createInjector(cConf, hConf, contextConfig.getProgramId(), contextConfig.getProgramOptions());
        final Service logAppenderService = new LogAppenderService(injector.getInstance(LogAppenderInitializer.class), contextConfig.getProgramOptions());
        final ZKClientService zkClientService = injector.getInstance(ZKClientService.class);
        final KafkaClientService kafkaClientService = injector.getInstance(KafkaClientService.class);
        final MetricsCollectionService metricsCollectionService = injector.getInstance(MetricsCollectionService.class);
        final StreamCoordinatorClient streamCoordinatorClient = injector.getInstance(StreamCoordinatorClient.class);
        // Use the shutdown hook to shutdown services, since this class should only be loaded from System classloader
        // of the spark executor, hence there should be exactly one instance only.
        // The problem with not shutting down nicely is that some logs/metrics might be lost
        Services.chainStart(logAppenderService, zkClientService, kafkaClientService, metricsCollectionService, streamCoordinatorClient);
        Runtime.getRuntime().addShutdownHook(new Thread() {

            @Override
            public void run() {
                // The logger may already been shutdown. Use System.out/err instead
                System.out.println("Shutting SparkClassLoader services");
                Future<List<ListenableFuture<Service.State>>> future = Services.chainStop(logAppenderService, streamCoordinatorClient, metricsCollectionService, kafkaClientService, zkClientService);
                try {
                    List<ListenableFuture<Service.State>> futures = future.get(5, TimeUnit.SECONDS);
                    System.out.println("SparkClassLoader services shutdown completed: " + futures);
                } catch (Exception e) {
                    System.err.println("Exception when shutting down services");
                    e.printStackTrace(System.err);
                }
            }
        });
        // Constructor the DatasetFramework
        DatasetFramework datasetFramework = injector.getInstance(DatasetFramework.class);
        WorkflowProgramInfo workflowInfo = contextConfig.getWorkflowProgramInfo();
        DatasetFramework programDatasetFramework = workflowInfo == null ? datasetFramework : NameMappedDatasetFramework.createFromWorkflowProgramInfo(datasetFramework, workflowInfo, contextConfig.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));
        }
        PluginInstantiator pluginInstantiator = createPluginInstantiator(cConf, contextConfig, program.getClassLoader());
        // Create the context object
        sparkRuntimeContext = new SparkRuntimeContext(contextConfig.getConfiguration(), program, contextConfig.getProgramOptions(), cConf, getHostname(), injector.getInstance(TransactionSystemClient.class), programDatasetFramework, injector.getInstance(DiscoveryServiceClient.class), metricsCollectionService, injector.getInstance(StreamAdmin.class), contextConfig.getWorkflowProgramInfo(), pluginInstantiator, injector.getInstance(SecureStore.class), injector.getInstance(SecureStoreManager.class), injector.getInstance(AuthorizationEnforcer.class), injector.getInstance(AuthenticationContext.class), injector.getInstance(MessagingService.class));
        LoggingContextAccessor.setLoggingContext(sparkRuntimeContext.getLoggingContext());
        return sparkRuntimeContext;
    } catch (Exception e) {
        throw Throwables.propagate(e);
    }
}

Example 20 with Service

use of com.google.common.util.concurrent.Service in project cdap by caskdata.

the class SparkProgramRunner method run.

@Override
public ProgramController run(Program program, ProgramOptions options) {
    // Get the RunId first. It is used for the creation of the ClassLoader closing thread.
    Arguments arguments = options.getArguments();
    RunId runId = ProgramRunners.getRunId(options);
    Deque<Closeable> closeables = new LinkedList<>();
    try {
        // 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.SPARK, "Only Spark process type is supported.");
        SparkSpecification spec = appSpec.getSpark().get(program.getName());
        Preconditions.checkNotNull(spec, "Missing SparkSpecification for %s", program.getName());
        String host = options.getArguments().getOption(ProgramOptionConstants.HOST);
        Preconditions.checkArgument(host != null, "No hostname is provided");
        // Get the WorkflowProgramInfo if it is started by Workflow
        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)));
        }
        PluginInstantiator pluginInstantiator = createPluginInstantiator(options, program.getClassLoader());
        if (pluginInstantiator != null) {
            closeables.addFirst(pluginInstantiator);
        }
        SparkRuntimeContext runtimeContext = new SparkRuntimeContext(new Configuration(hConf), program, options, cConf, host, txClient, programDatasetFramework, discoveryServiceClient, metricsCollectionService, streamAdmin, workflowInfo, pluginInstantiator, secureStore, secureStoreManager, authorizationEnforcer, authenticationContext, messagingService);
        closeables.addFirst(runtimeContext);
        Spark spark;
        try {
            spark = new InstantiatorFactory(false).get(TypeToken.of(program.<Spark>getMainClass())).create();
        } catch (Exception e) {
            LOG.error("Failed to instantiate Spark class for {}", spec.getClassName(), e);
            throw Throwables.propagate(e);
        }
        SparkSubmitter submitter = SparkRuntimeContextConfig.isLocal(hConf) ? new LocalSparkSubmitter() : new DistributedSparkSubmitter(hConf, locationFactory, host, runtimeContext, options.getArguments().getOption(Constants.AppFabric.APP_SCHEDULER_QUEUE));
        Service sparkRuntimeService = new SparkRuntimeService(cConf, spark, getPluginArchive(options), runtimeContext, submitter);
        sparkRuntimeService.addListener(createRuntimeServiceListener(program.getId(), runId, arguments, options.getUserArguments(), closeables, runtimeStore), Threads.SAME_THREAD_EXECUTOR);
        ProgramController controller = new SparkProgramController(sparkRuntimeService, runtimeContext);
        LOG.debug("Starting Spark Job. Context: {}", runtimeContext);
        if (SparkRuntimeContextConfig.isLocal(hConf) || UserGroupInformation.isSecurityEnabled()) {
            sparkRuntimeService.start();
        } else {
            ProgramRunners.startAsUser(cConf.get(Constants.CFG_HDFS_USER), sparkRuntimeService);
        }
        return controller;
    } catch (Throwable t) {
        closeAll(closeables);
        throw Throwables.propagate(t);
    }
}