Examples with DataflowPipelineDebugOptions org.apache.beam.runners.dataflow.options.DataflowPipelineDebugOptions used on opensource projects

Example 1 with DataflowPipelineDebugOptions

use of org.apache.beam.runners.dataflow.options.DataflowPipelineDebugOptions in project beam by apache.

the class DataflowRunnerHarness method main.

/**
 * Fetches and processes work units from the Dataflow service.
 */
public static void main(String[] unusedArgs) throws Exception {
    RunnerApi.@Nullable Pipeline pipeline = DataflowWorkerHarnessHelper.getPipelineFromEnv();
    // This descriptor is used for all services except logging. They are isolated to keep
    // critical traffic protected from best effort traffic.
    ApiServiceDescriptor controlApiService = DataflowWorkerHarnessHelper.getControlDescriptor();
    ApiServiceDescriptor loggingApiService = DataflowWorkerHarnessHelper.getLoggingDescriptor();
    ApiServiceDescriptor statusApiService = DataflowWorkerHarnessHelper.getStatusDescriptor();
    LOG.info("{} started, using port {} for control, {} for logging.", DataflowRunnerHarness.class, controlApiService, loggingApiService);
    DataflowWorkerHarnessHelper.initializeLogging(DataflowRunnerHarness.class);
    DataflowWorkerHarnessOptions pipelineOptions = DataflowWorkerHarnessHelper.initializeGlobalStateAndPipelineOptions(DataflowRunnerHarness.class);
    DataflowWorkerHarnessHelper.configureLogging(pipelineOptions);
    // Initialized registered file systems.˜
    FileSystems.setDefaultPipelineOptions(pipelineOptions);
    DataflowPipelineDebugOptions dataflowOptions = pipelineOptions.as(DataflowPipelineDebugOptions.class);
    ServerFactory serverFactory;
    if (DataflowRunner.hasExperiment(dataflowOptions, "beam_fn_api_epoll_domain_socket")) {
        serverFactory = ServerFactory.createEpollDomainSocket();
    } else if (DataflowRunner.hasExperiment(dataflowOptions, "beam_fn_api_epoll")) {
        serverFactory = ServerFactory.createEpollSocket();
    } else {
        serverFactory = ServerFactory.createDefault();
    }
    ServerStreamObserverFactory streamObserverFactory = ServerStreamObserverFactory.fromOptions(pipelineOptions);
    Server servicesServer = null;
    Server loggingServer = null;
    Server statusServer = null;
    try (BeamFnLoggingService beamFnLoggingService = new BeamFnLoggingService(loggingApiService, DataflowWorkerLoggingInitializer.getSdkLoggingHandler()::publish, streamObserverFactory::from, GrpcContextHeaderAccessorProvider.getHeaderAccessor());
        BeamFnControlService beamFnControlService = new BeamFnControlService(controlApiService, streamObserverFactory::from, GrpcContextHeaderAccessorProvider.getHeaderAccessor());
        BeamFnDataGrpcService beamFnDataService = new BeamFnDataGrpcService(pipelineOptions, controlApiService, streamObserverFactory::from, GrpcContextHeaderAccessorProvider.getHeaderAccessor());
        BeamWorkerStatusGrpcService beamWorkerStatusGrpcService = statusApiService == null ? null : BeamWorkerStatusGrpcService.create(statusApiService, GrpcContextHeaderAccessorProvider.getHeaderAccessor());
        GrpcStateService beamFnStateService = GrpcStateService.create()) {
        servicesServer = serverFactory.create(ImmutableList.of(beamFnControlService, beamFnDataService, beamFnStateService), controlApiService);
        loggingServer = serverFactory.create(ImmutableList.of(beamFnLoggingService), loggingApiService);
        // gRPC server for obtaining SDK harness runtime status information.
        if (beamWorkerStatusGrpcService != null) {
            statusServer = serverFactory.create(ImmutableList.of(beamWorkerStatusGrpcService), statusApiService);
        }
        start(pipeline, pipelineOptions, beamFnControlService, beamFnDataService, controlApiService, beamFnStateService, beamWorkerStatusGrpcService);
        if (statusServer != null) {
            statusServer.shutdown();
        }
        servicesServer.shutdown();
        loggingServer.shutdown();
        // wait 30 secs for outstanding requests to finish.
        if (statusServer != null) {
            statusServer.awaitTermination(30, TimeUnit.SECONDS);
        }
        servicesServer.awaitTermination(30, TimeUnit.SECONDS);
        loggingServer.awaitTermination(30, TimeUnit.SECONDS);
    } finally {
        if (statusServer != null && !statusServer.isTerminated()) {
            statusServer.shutdownNow();
        }
        if (servicesServer != null && !servicesServer.isTerminated()) {
            servicesServer.shutdownNow();
        }
        if (loggingServer != null && !loggingServer.isTerminated()) {
            loggingServer.shutdownNow();
        }
    }
}

Example 2 with DataflowPipelineDebugOptions

use of org.apache.beam.runners.dataflow.options.DataflowPipelineDebugOptions in project beam by apache.

the class StreamingDataflowWorkerTest method testExceptionInvalidatesCache.

@Test
public void testExceptionInvalidatesCache() throws Exception {
    // We'll need to force the system to limit bundles to one message at a time.
    // Sequence is as follows:
    // 01. GetWork[0] (token 0)
    // 02. Create counter reader
    // 03. Counter yields 0
    // 04. GetData[0] (state as null)
    // 05. Read state as null
    // 06. Set state as 42
    // 07. THROW on taking counter reader checkpoint
    // 08. Create counter reader
    // 09. Counter yields 0
    // 10. GetData[1] (state as null)
    // 11. Read state as null (*** not 42 ***)
    // 12. Take counter reader checkpoint as 0
    // 13. CommitWork[0] (message 0:0, state 42, checkpoint 0)
    // 14. GetWork[1] (token 1, checkpoint as 0)
    // 15. Counter yields 1
    // 16. Read (cached) state as 42
    // 17. Take counter reader checkpoint 1
    // 18. CommitWork[1] (message 0:1, checkpoint 1)
    // 19. GetWork[2] (token 2, checkpoint as 1)
    // 20. Counter yields 2
    // 21. THROW on processElement
    // 22. Recreate reader from checkpoint 1
    // 23. Counter yields 2 (*** not eof ***)
    // 24. GetData[2] (state as 42)
    // 25. Read state as 42
    // 26. Take counter reader checkpoint 2
    // 27. CommitWork[2] (message 0:2, checkpoint 2)
    FakeWindmillServer server = new FakeWindmillServer(errorCollector);
    server.setExpectedExceptionCount(2);
    DataflowPipelineOptions options = createTestingPipelineOptions(server);
    options.setNumWorkers(1);
    DataflowPipelineDebugOptions debugOptions = options.as(DataflowPipelineDebugOptions.class);
    debugOptions.setUnboundedReaderMaxElements(1);
    CloudObject codec = CloudObjects.asCloudObject(WindowedValue.getFullCoder(ValueWithRecordId.ValueWithRecordIdCoder.of(KvCoder.of(VarIntCoder.of(), VarIntCoder.of())), GlobalWindow.Coder.INSTANCE), /*sdkComponents=*/
    null);
    TestCountingSource counter = new TestCountingSource(3).withThrowOnFirstSnapshot(true);
    List<ParallelInstruction> instructions = Arrays.asList(new ParallelInstruction().setOriginalName("OriginalReadName").setSystemName("Read").setName(DEFAULT_PARDO_USER_NAME).setRead(new ReadInstruction().setSource(CustomSources.serializeToCloudSource(counter, options).setCodec(codec))).setOutputs(Arrays.asList(new InstructionOutput().setName("read_output").setOriginalName(DEFAULT_OUTPUT_ORIGINAL_NAME).setSystemName(DEFAULT_OUTPUT_SYSTEM_NAME).setCodec(codec))), makeDoFnInstruction(new TestExceptionInvalidatesCacheFn(), 0, StringUtf8Coder.of(), WindowingStrategy.globalDefault()), makeSinkInstruction(StringUtf8Coder.of(), 1, GlobalWindow.Coder.INSTANCE));
    StreamingDataflowWorker worker = makeWorker(instructions, options.as(StreamingDataflowWorkerOptions.class), true);
    worker.setRetryLocallyDelayMs(100);
    worker.start();
    // Three GetData requests
    for (int i = 0; i < 3; i++) {
        ByteString state;
        if (i == 0 || i == 1) {
            state = ByteString.EMPTY;
        } else {
            state = ByteString.copyFrom(new byte[] { 42 });
        }
        Windmill.GetDataResponse.Builder dataResponse = Windmill.GetDataResponse.newBuilder();
        dataResponse.addDataBuilder().setComputationId(DEFAULT_COMPUTATION_ID).addDataBuilder().setKey(ByteString.copyFromUtf8("0000000000000001")).setShardingKey(1).addValuesBuilder().setTag(ByteString.copyFromUtf8("//+uint")).setStateFamily(DEFAULT_PARDO_STATE_FAMILY).getValueBuilder().setTimestamp(0).setData(state);
        server.addDataToOffer(dataResponse.build());
    }
    // Three GetWork requests and commits
    for (int i = 0; i < 3; i++) {
        StringBuilder sb = new StringBuilder();
        sb.append("work {\n");
        sb.append("  computation_id: \"computation\"\n");
        sb.append("  input_data_watermark: 0\n");
        sb.append("  work {\n");
        sb.append("    key: \"0000000000000001\"\n");
        sb.append("    sharding_key: 1\n");
        sb.append("    work_token: ");
        sb.append(i);
        sb.append("    cache_token: 1");
        sb.append("\n");
        if (i > 0) {
            int previousCheckpoint = i - 1;
            sb.append("    source_state {\n");
            sb.append("      state: \"");
            sb.append((char) previousCheckpoint);
            sb.append("\"\n");
            // We'll elide the finalize ids since it's not necessary to trigger the finalizer
            // for this test.
            sb.append("    }\n");
        }
        sb.append("  }\n");
        sb.append("}\n");
        server.addWorkToOffer(buildInput(sb.toString(), null));
        Map<Long, Windmill.WorkItemCommitRequest> result = server.waitForAndGetCommits(1);
        Windmill.WorkItemCommitRequest commit = result.get((long) i);
        UnsignedLong finalizeId = UnsignedLong.fromLongBits(commit.getSourceStateUpdates().getFinalizeIds(0));
        sb = new StringBuilder();
        sb.append("key: \"0000000000000001\"\n");
        sb.append("sharding_key: 1\n");
        sb.append("work_token: ");
        sb.append(i);
        sb.append("\n");
        sb.append("cache_token: 1\n");
        sb.append("output_messages {\n");
        sb.append("  destination_stream_id: \"out\"\n");
        sb.append("  bundles {\n");
        sb.append("    key: \"0000000000000001\"\n");
        int messageNum = i;
        sb.append("    messages {\n");
        sb.append("      timestamp: ");
        sb.append(messageNum * 1000);
        sb.append("\n");
        sb.append("      data: \"0:");
        sb.append(messageNum);
        sb.append("\"\n");
        sb.append("    }\n");
        sb.append("    messages_ids: \"\"\n");
        sb.append("  }\n");
        sb.append("}\n");
        if (i == 0) {
            sb.append("value_updates {\n");
            sb.append("  tag: \"//+uint\"\n");
            sb.append("  value {\n");
            sb.append("    timestamp: 0\n");
            sb.append("    data: \"");
            sb.append((char) 42);
            sb.append("\"\n");
            sb.append("  }\n");
            sb.append("  state_family: \"parDoStateFamily\"\n");
            sb.append("}\n");
        }
        int sourceState = i;
        sb.append("source_state_updates {\n");
        sb.append("  state: \"");
        sb.append((char) sourceState);
        sb.append("\"\n");
        sb.append("  finalize_ids: ");
        sb.append(finalizeId);
        sb.append("}\n");
        sb.append("source_watermark: ");
        sb.append((sourceState + 1) * 1000);
        sb.append("\n");
        sb.append("source_backlog_bytes: 7\n");
        assertThat(// for the current test.
        setValuesTimestamps(commit.toBuilder().clearOutputTimers()).build(), equalTo(setMessagesMetadata(PaneInfo.NO_FIRING, CoderUtils.encodeToByteArray(CollectionCoder.of(GlobalWindow.Coder.INSTANCE), ImmutableList.of(GlobalWindow.INSTANCE)), parseCommitRequest(sb.toString())).build()));
    }
}

Example 3 with DataflowPipelineDebugOptions

use of org.apache.beam.runners.dataflow.options.DataflowPipelineDebugOptions in project beam by apache.

the class SimpleParDoFnTest method testOutputsPerElementCounterDisabledViaExperiment.

// TODO: Remove once Distributions has shipped.
@Test
public void testOutputsPerElementCounterDisabledViaExperiment() throws Exception {
    DataflowPipelineDebugOptions debugOptions = options.as(DataflowPipelineDebugOptions.class);
    List<String> experiments = debugOptions.getExperiments();
    experiments.remove(SimpleParDoFn.OUTPUTS_PER_ELEMENT_EXPERIMENT);
    debugOptions.setExperiments(experiments);
    List<CounterUpdate> counterUpdates = executeParDoFnCounterTest(0);
    CounterName expectedName = CounterName.named("per-element-output-count").withOriginalName(stepContext.getNameContext());
    assertThat(counterUpdates, not(contains(hasStructuredName(expectedName, "DISTRIBUTION"))));
}

Example 4 with DataflowPipelineDebugOptions

use of org.apache.beam.runners.dataflow.options.DataflowPipelineDebugOptions in project beam by apache.

the class WorkerCustomSourcesTest method testReadUnboundedReader.

@Test
public void testReadUnboundedReader() throws Exception {
    CounterSet counterSet = new CounterSet();
    StreamingModeExecutionStateRegistry executionStateRegistry = new StreamingModeExecutionStateRegistry(null);
    ReaderCache readerCache = new ReaderCache(Duration.standardMinutes(1), Runnable::run);
    StreamingModeExecutionContext context = new StreamingModeExecutionContext(counterSet, "computationId", readerCache, /*stateNameMap=*/
    ImmutableMap.of(), /*stateCache=*/
    null, StreamingStepMetricsContainer.createRegistry(), new DataflowExecutionStateTracker(ExecutionStateSampler.newForTest(), executionStateRegistry.getState(NameContext.forStage("stageName"), "other", null, NoopProfileScope.NOOP), counterSet, PipelineOptionsFactory.create(), "test-work-item-id"), executionStateRegistry, Long.MAX_VALUE);
    options.setNumWorkers(5);
    int maxElements = 10;
    DataflowPipelineDebugOptions debugOptions = options.as(DataflowPipelineDebugOptions.class);
    debugOptions.setUnboundedReaderMaxElements(maxElements);
    ByteString state = ByteString.EMPTY;
    for (int i = 0; i < 10 * maxElements; ) /* Incremented in inner loop */
    {
        // Initialize streaming context with state from previous iteration.
        context.start("key", Windmill.WorkItem.newBuilder().setKey(// key is zero-padded index.
        ByteString.copyFromUtf8("0000000000000001")).setWorkToken(// Must be increasing across activations for cache to be used.
        i).setCacheToken(1).setSourceState(// Source state.
        Windmill.SourceState.newBuilder().setState(state).build()).build(), // input watermark
        new Instant(0), // output watermark
        null, // synchronized processing time
        null, // StateReader
        null, // StateFetcher
        null, Windmill.WorkItemCommitRequest.newBuilder());
        @SuppressWarnings({ "unchecked", "rawtypes" }) NativeReader<WindowedValue<ValueWithRecordId<KV<Integer, Integer>>>> reader = (NativeReader) WorkerCustomSources.create((CloudObject) serializeToCloudSource(new TestCountingSource(Integer.MAX_VALUE), options).getSpec(), options, context);
        // Verify data.
        Instant beforeReading = Instant.now();
        int numReadOnThisIteration = 0;
        for (WindowedValue<ValueWithRecordId<KV<Integer, Integer>>> value : ReaderUtils.readAllFromReader(reader)) {
            assertEquals(KV.of(0, i), value.getValue().getValue());
            assertArrayEquals(encodeToByteArray(KvCoder.of(VarIntCoder.of(), VarIntCoder.of()), KV.of(0, i)), value.getValue().getId());
            assertThat(value.getWindows(), contains((BoundedWindow) GlobalWindow.INSTANCE));
            assertEquals(i, value.getTimestamp().getMillis());
            i++;
            numReadOnThisIteration++;
        }
        Instant afterReading = Instant.now();
        long maxReadSec = debugOptions.getUnboundedReaderMaxReadTimeSec();
        assertThat(new Duration(beforeReading, afterReading).getStandardSeconds(), lessThanOrEqualTo(maxReadSec + 1));
        assertThat(numReadOnThisIteration, lessThanOrEqualTo(debugOptions.getUnboundedReaderMaxElements()));
        // Extract and verify state modifications.
        context.flushState();
        state = context.getOutputBuilder().getSourceStateUpdates().getState();
        // CountingSource's watermark is the last record + 1.  i is now one past the last record,
        // so the expected watermark is i millis.
        assertEquals(TimeUnit.MILLISECONDS.toMicros(i), context.getOutputBuilder().getSourceWatermark());
        assertEquals(1, context.getOutputBuilder().getSourceStateUpdates().getFinalizeIdsList().size());
        assertNotNull(readerCache.acquireReader(context.getComputationKey(), context.getWork().getCacheToken(), context.getWorkToken() + 1));
        assertEquals(7L, context.getBacklogBytes());
    }
}

Example 5 with DataflowPipelineDebugOptions

use of org.apache.beam.runners.dataflow.options.DataflowPipelineDebugOptions in project beam by apache.

the class DataflowRunnerTest method testHasExperiment.

@Test
public void testHasExperiment() {
    DataflowPipelineDebugOptions options = PipelineOptionsFactory.as(DataflowPipelineDebugOptions.class);
    options.setExperiments(null);
    assertFalse(DataflowRunner.hasExperiment(options, "foo"));
    options.setExperiments(ImmutableList.of("foo", "bar"));
    assertTrue(DataflowRunner.hasExperiment(options, "foo"));
    assertTrue(DataflowRunner.hasExperiment(options, "bar"));
    assertFalse(DataflowRunner.hasExperiment(options, "baz"));
    assertFalse(DataflowRunner.hasExperiment(options, "ba"));
    assertFalse(DataflowRunner.hasExperiment(options, "BAR"));
}