Examples with ProgramContextAware io.cdap.cdap.data.ProgramContextAware used on opensource projects

Example 1 with ProgramContextAware

use of io.cdap.cdap.data.ProgramContextAware 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 {
        RetryStrategy retryStrategy = SystemArguments.getRetryStrategy(options.getUserArguments().asMap(), program.getType(), cConf);
        ArtifactManager artifactManager = artifactManagerFactory.create(program.getId().getNamespaceId(), retryStrategy);
        ServiceHttpServer component = new ServiceHttpServer(host, program, options, cConf, spec, instanceId, instanceCount, serviceAnnouncer, metricsCollectionService, datasetFramework, txClient, discoveryServiceClient, pluginInstantiator, secureStore, secureStoreManager, messagingService, artifactManager, metadataReader, metadataPublisher, namespaceQueryAdmin, pluginFinder, fieldLineageWriter, transactionRunner, preferencesFetcher, remoteClientFactory, contextAccessEnforcer);
        // Add a service listener to make sure the plugin instantiator is closed when the http server is finished.
        component.addListener(createRuntimeServiceListener(Collections.singleton(pluginInstantiator)), Threads.SAME_THREAD_EXECUTOR);
        ProgramController controller = new ServiceProgramControllerAdapter(component, program.getId().run(runId));
        component.start();
        return controller;
    } catch (Throwable t) {
        Closeables.closeQuietly(pluginInstantiator);
        throw t;
    }
}

Example 2 with ProgramContextAware

use of io.cdap.cdap.data.ProgramContextAware 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) {
    DiscoveryServiceClient discoveryServiceClient = injector.getInstance(DiscoveryServiceClient.class);
    DatasetFramework datasetFramework = injector.getInstance(DatasetFramework.class);
    SecureStore secureStore = injector.getInstance(SecureStore.class);
    SecureStoreManager secureStoreManager = injector.getInstance(SecureStoreManager.class);
    MessagingService messagingService = injector.getInstance(MessagingService.class);
    // Multiple instances of BasicMapReduceTaskContext can share the same program.
    AtomicReference<Program> programRef = new AtomicReference<>();
    MetadataReader metadataReader = injector.getInstance(MetadataReader.class);
    MetadataPublisher metadataPublisher = injector.getInstance(MetadataPublisher.class);
    FieldLineageWriter fieldLineageWriter = injector.getInstance(FieldLineageWriter.class);
    RemoteClientFactory remoteClientFactory = injector.getInstance(RemoteClientFactory.class);
    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());
            Transaction transaction = null;
            if (fs.exists(txFile)) {
                try (FSDataInputStream txFileInputStream = fs.open(txFile)) {
                    transaction = new TransactionCodec().decode(ByteStreams.toByteArray(txFileInputStream));
                }
            }
            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);
            NamespaceQueryAdmin namespaceQueryAdmin = injector.getInstance(NamespaceQueryAdmin.class);
            return new BasicMapReduceTaskContext(program, options, cConf, taskType, taskId, spec, workflowInfo, discoveryServiceClient, metricsCollectionService, txClient, transaction, programDatasetFramework, classLoader.getPluginInstantiator(), contextConfig.getLocalizedResources(), secureStore, secureStoreManager, accessEnforcer, authenticationContext, messagingService, mapReduceClassLoader, metadataReader, metadataPublisher, namespaceQueryAdmin, fieldLineageWriter, remoteClientFactory);
        }
    };
}

Example 3 with ProgramContextAware

use of io.cdap.cdap.data.ProgramContextAware in project cdap by caskdata.

the class SparkProgramRunner method run.

@Override
public ProgramController run(Program program, ProgramOptions options) {
    LOG.trace("Starting Spark program {} with SparkProgramRunner of ClassLoader {}", program.getId(), getClass().getClassLoader());
    // 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, metricsCollectionService, workflowInfo, pluginInstantiator, secureStore, secureStoreManager, accessEnforcer, authenticationContext, messagingService, serviceAnnouncer, pluginFinder, locationFactory, metadataReader, metadataPublisher, namespaceQueryAdmin, fieldLineageWriter, remoteClientFactory, () -> {
        });
        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);
        }
        boolean isLocal = SparkRuntimeContextConfig.isLocal(options);
        SparkSubmitter submitter;
        // If MasterEnvironment is not available, use non-master env spark submitters
        MasterEnvironment masterEnv = MasterEnvironments.getMasterEnvironment();
        if (masterEnv != null && cConf.getBoolean(Constants.Environment.PROGRAM_SUBMISSION_MASTER_ENV_ENABLED, true)) {
            submitter = new MasterEnvironmentSparkSubmitter(cConf, locationFactory, host, runtimeContext, masterEnv);
        } else {
            submitter = isLocal ? 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, locationFactory, isLocal, fieldLineageWriter, masterEnv);
        sparkRuntimeService.addListener(createRuntimeServiceListener(closeables), Threads.SAME_THREAD_EXECUTOR);
        ProgramController controller = new SparkProgramController(sparkRuntimeService, runtimeContext);
        LOG.debug("Starting Spark Job. Context: {}", runtimeContext);
        if (isLocal || UserGroupInformation.isSecurityEnabled()) {
            sparkRuntimeService.start();
        } else {
            ProgramRunners.startAsUser(cConf.get(Constants.CFG_HDFS_USER), sparkRuntimeService);
        }
        return controller;
    } catch (Throwable t) {
        closeAllQuietly(closeables);
        throw Throwables.propagate(t);
    }
}

Example 4 with ProgramContextAware

use of io.cdap.cdap.data.ProgramContextAware in project cdap by caskdata.

the class WorkerProgramRunner method run.

@Override
public ProgramController run(Program program, ProgramOptions options) {
    ApplicationSpecification appSpec = program.getApplicationSpecification();
    Preconditions.checkNotNull(appSpec, "Missing application specification.");
    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);
    ProgramType programType = program.getType();
    Preconditions.checkNotNull(programType, "Missing processor type.");
    Preconditions.checkArgument(programType == ProgramType.WORKER, "Only Worker process type is supported.");
    WorkerSpecification workerSpec = appSpec.getWorkers().get(program.getName());
    Preconditions.checkArgument(workerSpec != null, "Missing Worker specification for %s", program.getId());
    String instances = options.getArguments().getOption(ProgramOptionConstants.INSTANCES, String.valueOf(workerSpec.getInstances()));
    WorkerSpecification newWorkerSpec = new WorkerSpecification(workerSpec.getClassName(), workerSpec.getName(), workerSpec.getDescription(), workerSpec.getProperties(), workerSpec.getDatasets(), workerSpec.getResources(), Integer.parseInt(instances), workerSpec.getPlugins());
    // 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 {
        BasicWorkerContext context = new BasicWorkerContext(newWorkerSpec, program, options, cConf, instanceId, instanceCount, metricsCollectionService, datasetFramework, txClient, discoveryServiceClient, pluginInstantiator, secureStore, secureStoreManager, messagingService, metadataReader, metadataPublisher, namespaceQueryAdmin, fieldLineageWriter, remoteClientFactory);
        WorkerDriver worker = new WorkerDriver(program, newWorkerSpec, context);
        // Add a service listener to make sure the plugin instantiator is closed when the worker driver finished.
        worker.addListener(createRuntimeServiceListener(Collections.singleton(pluginInstantiator)), Threads.SAME_THREAD_EXECUTOR);
        ProgramController controller = new WorkerControllerServiceAdapter(worker, program.getId().run(runId));
        worker.start();
        return controller;
    } catch (Throwable t) {
        Closeables.closeQuietly(pluginInstantiator);
        throw t;
    }
}

Example 5 with ProgramContextAware

use of io.cdap.cdap.data.ProgramContextAware in project cdap by caskdata.

the class WorkflowProgramRunner method run.

@Override
public ProgramController run(final Program program, final ProgramOptions options) {
    // Extract and verify options
    ApplicationSpecification appSpec = program.getApplicationSpecification();
    Preconditions.checkNotNull(appSpec, "Missing application specification.");
    ProgramType processorType = program.getType();
    Preconditions.checkNotNull(processorType, "Missing processor type.");
    Preconditions.checkArgument(processorType == ProgramType.WORKFLOW, "Only WORKFLOW process type is supported.");
    WorkflowSpecification workflowSpec = appSpec.getWorkflows().get(program.getName());
    Preconditions.checkNotNull(workflowSpec, "Missing WorkflowSpecification for %s", program.getName());
    final RunId runId = ProgramRunners.getRunId(options);
    // Setup dataset framework context, if required
    if (datasetFramework instanceof ProgramContextAware) {
        ProgramId programId = program.getId();
        ((ProgramContextAware) datasetFramework).setContext(new BasicProgramContext(programId.run(runId)));
    }
    // List of all Closeable resources that needs to be cleanup
    final List<Closeable> closeables = new ArrayList<>();
    try {
        PluginInstantiator pluginInstantiator = createPluginInstantiator(options, program.getClassLoader());
        if (pluginInstantiator != null) {
            closeables.add(pluginInstantiator);
        }
        WorkflowDriver driver = new WorkflowDriver(program, options, workflowSpec, programRunnerFactory, metricsCollectionService, datasetFramework, discoveryServiceClient, txClient, workflowStateWriter, cConf, pluginInstantiator, secureStore, secureStoreManager, messagingService, programStateWriter, metadataReader, metadataPublisher, fieldLineageWriter, namespaceQueryAdmin, remoteClientFactory);
        // Controller needs to be created before starting the driver so that the state change of the driver
        // service can be fully captured by the controller.
        ProgramController controller = new WorkflowProgramController(program.getId().run(runId), driver);
        driver.start();
        return controller;
    } catch (Exception e) {
        closeAllQuietly(closeables);
        throw Throwables.propagate(e);
    }
}