Examples with MetadataReader io.cdap.cdap.api.metadata.MetadataReader used on opensource projects

Example 1 with MetadataReader

use of io.cdap.cdap.api.metadata.MetadataReader 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);
        }
    };
}