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Example 6 with WorkItemCommitRequest

use of org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest in project beam by apache.

the class StreamingDataflowWorker method process.

private void process(final SdkWorkerHarness worker, final ComputationState computationState, final Instant inputDataWatermark, @Nullable final Instant outputDataWatermark, @Nullable final Instant synchronizedProcessingTime, final Work work) {
    final Windmill.WorkItem workItem = work.getWorkItem();
    final String computationId = computationState.getComputationId();
    final ByteString key = workItem.getKey();
    work.setState(State.PROCESSING);
    {
        StringBuilder workIdBuilder = new StringBuilder(33);
        workIdBuilder.append(Long.toHexString(workItem.getShardingKey()));
        workIdBuilder.append('-');
        workIdBuilder.append(Long.toHexString(workItem.getWorkToken()));
        DataflowWorkerLoggingMDC.setWorkId(workIdBuilder.toString());
    }
    DataflowWorkerLoggingMDC.setStageName(computationId);
    LOG.debug("Starting processing for {}:\n{}", computationId, work);
    Windmill.WorkItemCommitRequest.Builder outputBuilder = initializeOutputBuilder(key, workItem);
    // Before any processing starts, call any pending OnCommit callbacks.  Nothing that requires
    // cleanup should be done before this, since we might exit early here.
    callFinalizeCallbacks(workItem);
    if (workItem.getSourceState().getOnlyFinalize()) {
        outputBuilder.setSourceStateUpdates(Windmill.SourceState.newBuilder().setOnlyFinalize(true));
        work.setState(State.COMMIT_QUEUED);
        commitQueue.put(new Commit(outputBuilder.build(), computationState, work));
        return;
    }
    long processingStartTimeNanos = System.nanoTime();
    final MapTask mapTask = computationState.getMapTask();
    StageInfo stageInfo = stageInfoMap.computeIfAbsent(mapTask.getStageName(), s -> new StageInfo(s, mapTask.getSystemName(), this));
    ExecutionState executionState = null;
    try {
        executionState = computationState.getExecutionStateQueue(worker).poll();
        if (executionState == null) {
            MutableNetwork<Node, Edge> mapTaskNetwork = mapTaskToNetwork.apply(mapTask);
            if (LOG.isDebugEnabled()) {
                LOG.debug("Network as Graphviz .dot: {}", Networks.toDot(mapTaskNetwork));
            }
            ParallelInstructionNode readNode = (ParallelInstructionNode) Iterables.find(mapTaskNetwork.nodes(), node -> node instanceof ParallelInstructionNode && ((ParallelInstructionNode) node).getParallelInstruction().getRead() != null);
            InstructionOutputNode readOutputNode = (InstructionOutputNode) Iterables.getOnlyElement(mapTaskNetwork.successors(readNode));
            DataflowExecutionContext.DataflowExecutionStateTracker executionStateTracker = new DataflowExecutionContext.DataflowExecutionStateTracker(ExecutionStateSampler.instance(), stageInfo.executionStateRegistry.getState(NameContext.forStage(mapTask.getStageName()), "other", null, ScopedProfiler.INSTANCE.emptyScope()), stageInfo.deltaCounters, options, computationId);
            StreamingModeExecutionContext context = new StreamingModeExecutionContext(pendingDeltaCounters, computationId, readerCache, !computationState.getTransformUserNameToStateFamily().isEmpty() ? computationState.getTransformUserNameToStateFamily() : stateNameMap, stateCache.forComputation(computationId), stageInfo.metricsContainerRegistry, executionStateTracker, stageInfo.executionStateRegistry, maxSinkBytes);
            DataflowMapTaskExecutor mapTaskExecutor = mapTaskExecutorFactory.create(worker.getControlClientHandler(), worker.getGrpcDataFnServer(), sdkHarnessRegistry.beamFnDataApiServiceDescriptor(), worker.getGrpcStateFnServer(), mapTaskNetwork, options, mapTask.getStageName(), readerRegistry, sinkRegistry, context, pendingDeltaCounters, idGenerator);
            ReadOperation readOperation = mapTaskExecutor.getReadOperation();
            // Disable progress updates since its results are unused  for streaming
            // and involves starting a thread.
            readOperation.setProgressUpdatePeriodMs(ReadOperation.DONT_UPDATE_PERIODICALLY);
            Preconditions.checkState(mapTaskExecutor.supportsRestart(), "Streaming runner requires all operations support restart.");
            Coder<?> readCoder;
            readCoder = CloudObjects.coderFromCloudObject(CloudObject.fromSpec(readOutputNode.getInstructionOutput().getCodec()));
            Coder<?> keyCoder = extractKeyCoder(readCoder);
            // If using a custom source, count bytes read for autoscaling.
            if (CustomSources.class.getName().equals(readNode.getParallelInstruction().getRead().getSource().getSpec().get("@type"))) {
                NameContext nameContext = NameContext.create(mapTask.getStageName(), readNode.getParallelInstruction().getOriginalName(), readNode.getParallelInstruction().getSystemName(), readNode.getParallelInstruction().getName());
                readOperation.receivers[0].addOutputCounter(new OutputObjectAndByteCounter(new IntrinsicMapTaskExecutorFactory.ElementByteSizeObservableCoder<>(readCoder), mapTaskExecutor.getOutputCounters(), nameContext).setSamplingPeriod(100).countBytes("dataflow_input_size-" + mapTask.getSystemName()));
            }
            executionState = new ExecutionState(mapTaskExecutor, context, keyCoder, executionStateTracker);
        }
        WindmillStateReader stateReader = new WindmillStateReader(metricTrackingWindmillServer, computationId, key, workItem.getShardingKey(), workItem.getWorkToken());
        StateFetcher localStateFetcher = stateFetcher.byteTrackingView();
        // If the read output KVs, then we can decode Windmill's byte key into a userland
        // key object and provide it to the execution context for use with per-key state.
        // Otherwise, we pass null.
        // 
        // The coder type that will be present is:
        // WindowedValueCoder(TimerOrElementCoder(KvCoder))
        @Nullable Coder<?> keyCoder = executionState.getKeyCoder();
        @Nullable Object executionKey = keyCoder == null ? null : keyCoder.decode(key.newInput(), Coder.Context.OUTER);
        if (workItem.hasHotKeyInfo()) {
            Windmill.HotKeyInfo hotKeyInfo = workItem.getHotKeyInfo();
            Duration hotKeyAge = Duration.millis(hotKeyInfo.getHotKeyAgeUsec() / 1000);
            // The MapTask instruction is ordered by dependencies, such that the first element is
            // always going to be the shuffle task.
            String stepName = computationState.getMapTask().getInstructions().get(0).getName();
            if (options.isHotKeyLoggingEnabled() && keyCoder != null) {
                hotKeyLogger.logHotKeyDetection(stepName, hotKeyAge, executionKey);
            } else {
                hotKeyLogger.logHotKeyDetection(stepName, hotKeyAge);
            }
        }
        executionState.getContext().start(executionKey, workItem, inputDataWatermark, outputDataWatermark, synchronizedProcessingTime, stateReader, localStateFetcher, outputBuilder);
        // Blocks while executing work.
        executionState.getWorkExecutor().execute();
        Iterables.addAll(this.pendingMonitoringInfos, executionState.getWorkExecutor().extractMetricUpdates());
        commitCallbacks.putAll(executionState.getContext().flushState());
        // Release the execution state for another thread to use.
        computationState.getExecutionStateQueue(worker).offer(executionState);
        executionState = null;
        // Add the output to the commit queue.
        work.setState(State.COMMIT_QUEUED);
        WorkItemCommitRequest commitRequest = outputBuilder.build();
        int byteLimit = maxWorkItemCommitBytes;
        int commitSize = commitRequest.getSerializedSize();
        int estimatedCommitSize = commitSize < 0 ? Integer.MAX_VALUE : commitSize;
        // Detect overflow of integer serialized size or if the byte limit was exceeded.
        windmillMaxObservedWorkItemCommitBytes.addValue(estimatedCommitSize);
        if (commitSize < 0 || commitSize > byteLimit) {
            KeyCommitTooLargeException e = KeyCommitTooLargeException.causedBy(computationId, byteLimit, commitRequest);
            reportFailure(computationId, workItem, e);
            LOG.error(e.toString());
            // Drop the current request in favor of a new, minimal one requesting truncation.
            // Messages, timers, counters, and other commit content will not be used by the service
            // so we're purposefully dropping them here
            commitRequest = buildWorkItemTruncationRequest(key, workItem, estimatedCommitSize);
        }
        commitQueue.put(new Commit(commitRequest, computationState, work));
        // Compute shuffle and state byte statistics these will be flushed asynchronously.
        long stateBytesWritten = outputBuilder.clearOutputMessages().build().getSerializedSize();
        long shuffleBytesRead = 0;
        for (Windmill.InputMessageBundle bundle : workItem.getMessageBundlesList()) {
            for (Windmill.Message message : bundle.getMessagesList()) {
                shuffleBytesRead += message.getSerializedSize();
            }
        }
        long stateBytesRead = stateReader.getBytesRead() + localStateFetcher.getBytesRead();
        windmillShuffleBytesRead.addValue(shuffleBytesRead);
        windmillStateBytesRead.addValue(stateBytesRead);
        windmillStateBytesWritten.addValue(stateBytesWritten);
        LOG.debug("Processing done for work token: {}", workItem.getWorkToken());
    } catch (Throwable t) {
        if (executionState != null) {
            try {
                executionState.getContext().invalidateCache();
                executionState.getWorkExecutor().close();
            } catch (Exception e) {
                LOG.warn("Failed to close map task executor: ", e);
            } finally {
                // Release references to potentially large objects early.
                executionState = null;
            }
        }
        t = t instanceof UserCodeException ? t.getCause() : t;
        boolean retryLocally = false;
        if (KeyTokenInvalidException.isKeyTokenInvalidException(t)) {
            LOG.debug("Execution of work for computation '{}' on key '{}' failed due to token expiration. " + "Work will not be retried locally.", computationId, key.toStringUtf8());
        } else {
            LastExceptionDataProvider.reportException(t);
            LOG.debug("Failed work: {}", work);
            Duration elapsedTimeSinceStart = new Duration(Instant.now(), work.getStartTime());
            if (!reportFailure(computationId, workItem, t)) {
                LOG.error("Execution of work for computation '{}' on key '{}' failed with uncaught exception, " + "and Windmill indicated not to retry locally.", computationId, key.toStringUtf8(), t);
            } else if (isOutOfMemoryError(t)) {
                File heapDump = memoryMonitor.tryToDumpHeap();
                LOG.error("Execution of work for computation '{}' for key '{}' failed with out-of-memory. " + "Work will not be retried locally. Heap dump {}.", computationId, key.toStringUtf8(), heapDump == null ? "not written" : ("written to '" + heapDump + "'"), t);
            } else if (elapsedTimeSinceStart.isLongerThan(MAX_LOCAL_PROCESSING_RETRY_DURATION)) {
                LOG.error("Execution of work for computation '{}' for key '{}' failed with uncaught exception, " + "and it will not be retried locally because the elapsed time since start {} " + "exceeds {}.", computationId, key.toStringUtf8(), elapsedTimeSinceStart, MAX_LOCAL_PROCESSING_RETRY_DURATION, t);
            } else {
                LOG.error("Execution of work for computation '{}' on key '{}' failed with uncaught exception. " + "Work will be retried locally.", computationId, key.toStringUtf8(), t);
                retryLocally = true;
            }
        }
        if (retryLocally) {
            // Try again after some delay and at the end of the queue to avoid a tight loop.
            sleep(retryLocallyDelayMs);
            workUnitExecutor.forceExecute(work, work.getWorkItem().getSerializedSize());
        } else {
            // Consider the item invalid. It will eventually be retried by Windmill if it still needs to
            // be processed.
            computationState.completeWork(ShardedKey.create(key, workItem.getShardingKey()), workItem.getWorkToken());
        }
    } finally {
        // Update total processing time counters. Updating in finally clause ensures that
        // work items causing exceptions are also accounted in time spent.
        long processingTimeMsecs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - processingStartTimeNanos);
        stageInfo.totalProcessingMsecs.addValue(processingTimeMsecs);
        // either here or in DFE.
        if (work.getWorkItem().hasTimers()) {
            stageInfo.timerProcessingMsecs.addValue(processingTimeMsecs);
        }
        DataflowWorkerLoggingMDC.setWorkId(null);
        DataflowWorkerLoggingMDC.setStageName(null);
    }
}
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Example 7 with WorkItemCommitRequest

use of org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest in project beam by apache.

the class StreamingDataflowWorkerTest method runMergeSessionsActions.

// Helper for running tests for merging sessions based upon Actions consisting of GetWorkResponse
// and expected timers and holds in the corresponding commit. All GetData requests are responded
// to with empty state, relying on user worker caching to keep data written.
private void runMergeSessionsActions(List<Action> actions) throws Exception {
    Coder<KV<String, String>> kvCoder = KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of());
    Coder<WindowedValue<KV<String, String>>> windowedKvCoder = FullWindowedValueCoder.of(kvCoder, IntervalWindow.getCoder());
    KvCoder<String, List<String>> groupedCoder = KvCoder.of(StringUtf8Coder.of(), ListCoder.of(StringUtf8Coder.of()));
    Coder<WindowedValue<KV<String, List<String>>>> windowedGroupedCoder = FullWindowedValueCoder.of(groupedCoder, IntervalWindow.getCoder());
    CloudObject spec = CloudObject.forClassName("MergeWindowsDoFn");
    SdkComponents sdkComponents = SdkComponents.create();
    sdkComponents.registerEnvironment(Environments.JAVA_SDK_HARNESS_ENVIRONMENT);
    addString(spec, PropertyNames.SERIALIZED_FN, StringUtils.byteArrayToJsonString(WindowingStrategyTranslation.toMessageProto(WindowingStrategy.of(Sessions.withGapDuration(Duration.millis(10))).withMode(AccumulationMode.DISCARDING_FIRED_PANES).withTrigger(Repeatedly.forever(AfterWatermark.pastEndOfWindow().withLateFirings(AfterPane.elementCountAtLeast(1)))).withAllowedLateness(Duration.standardMinutes(60)), sdkComponents).toByteArray()));
    addObject(spec, WorkerPropertyNames.INPUT_CODER, CloudObjects.asCloudObject(windowedKvCoder, /*sdkComponents=*/
    null));
    ParallelInstruction mergeWindowsInstruction = new ParallelInstruction().setSystemName("MergeWindows-System").setName("MergeWindowsStep").setOriginalName("MergeWindowsOriginal").setParDo(new ParDoInstruction().setInput(new InstructionInput().setProducerInstructionIndex(0).setOutputNum(0)).setNumOutputs(1).setUserFn(spec)).setOutputs(Arrays.asList(new InstructionOutput().setOriginalName(DEFAULT_OUTPUT_ORIGINAL_NAME).setSystemName(DEFAULT_OUTPUT_SYSTEM_NAME).setName("output").setCodec(CloudObjects.asCloudObject(windowedGroupedCoder, /*sdkComponents=*/
    null))));
    List<ParallelInstruction> instructions = Arrays.asList(makeWindowingSourceInstruction(kvCoder), mergeWindowsInstruction, makeSinkInstruction(groupedCoder, 1));
    FakeWindmillServer server = new FakeWindmillServer(errorCollector);
    StreamingDataflowWorker worker = makeWorker(instructions, createTestingPipelineOptions(server), false);
    Map<String, String> nameMap = new HashMap<>();
    nameMap.put("MergeWindowsStep", "MergeWindows");
    worker.addStateNameMappings(nameMap);
    worker.start();
    // Respond to any GetData requests with empty state.
    for (int i = 0; i < 1000; ++i) {
        server.addDataFnToOffer(EMPTY_DATA_RESPONDER);
    }
    for (int i = 0; i < actions.size(); ++i) {
        Action action = actions.get(i);
        server.addWorkToOffer(action.response);
        Map<Long, Windmill.WorkItemCommitRequest> result = server.waitForAndGetCommits(1);
        WorkItemCommitRequest actualOutput = result.get(i + 1L);
        assertThat(actualOutput, Matchers.not(Matchers.nullValue()));
        verifyTimers(actualOutput, action.expectedTimers);
        verifyHolds(actualOutput, action.expectedHolds);
    }
}
Also used : ConcurrentHashMap(java.util.concurrent.ConcurrentHashMap) HashMap(java.util.HashMap) InstructionOutput(com.google.api.services.dataflow.model.InstructionOutput) KV(org.apache.beam.sdk.values.KV) ByteString(org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString) Structs.addString(org.apache.beam.runners.dataflow.util.Structs.addString) SdkComponents(org.apache.beam.runners.core.construction.SdkComponents) ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) ParDoInstruction(com.google.api.services.dataflow.model.ParDoInstruction) CloudObject(org.apache.beam.runners.dataflow.util.CloudObject) WorkItemCommitRequest(org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest) WindowedValue(org.apache.beam.sdk.util.WindowedValue) AtomicLong(java.util.concurrent.atomic.AtomicLong) DataflowCounterUpdateExtractor.splitIntToLong(org.apache.beam.runners.dataflow.worker.counters.DataflowCounterUpdateExtractor.splitIntToLong) UnsignedLong(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.primitives.UnsignedLong) ArrayList(java.util.ArrayList) List(java.util.List) ImmutableList(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList) InstructionInput(com.google.api.services.dataflow.model.InstructionInput)

Example 8 with WorkItemCommitRequest

use of org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest in project beam by apache.

the class StreamingDataflowWorkerTest method testMergeWindowsCaching.

@Test
public // the first processing having is_new_key set.
void testMergeWindowsCaching() throws Exception {
    Coder<KV<String, String>> kvCoder = KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of());
    Coder<WindowedValue<KV<String, String>>> windowedKvCoder = FullWindowedValueCoder.of(kvCoder, IntervalWindow.getCoder());
    KvCoder<String, List<String>> groupedCoder = KvCoder.of(StringUtf8Coder.of(), ListCoder.of(StringUtf8Coder.of()));
    Coder<WindowedValue<KV<String, List<String>>>> windowedGroupedCoder = FullWindowedValueCoder.of(groupedCoder, IntervalWindow.getCoder());
    CloudObject spec = CloudObject.forClassName("MergeWindowsDoFn");
    SdkComponents sdkComponents = SdkComponents.create();
    sdkComponents.registerEnvironment(Environments.JAVA_SDK_HARNESS_ENVIRONMENT);
    addString(spec, PropertyNames.SERIALIZED_FN, StringUtils.byteArrayToJsonString(WindowingStrategyTranslation.toMessageProto(WindowingStrategy.of(FixedWindows.of(Duration.standardSeconds(1))).withTimestampCombiner(TimestampCombiner.EARLIEST), sdkComponents).toByteArray()));
    addObject(spec, WorkerPropertyNames.INPUT_CODER, CloudObjects.asCloudObject(windowedKvCoder, /*sdkComponents=*/
    null));
    ParallelInstruction mergeWindowsInstruction = new ParallelInstruction().setSystemName("MergeWindows-System").setName("MergeWindowsStep").setOriginalName("MergeWindowsOriginal").setParDo(new ParDoInstruction().setInput(new InstructionInput().setProducerInstructionIndex(0).setOutputNum(0)).setNumOutputs(1).setUserFn(spec)).setOutputs(Arrays.asList(new InstructionOutput().setOriginalName(DEFAULT_OUTPUT_ORIGINAL_NAME).setSystemName(DEFAULT_OUTPUT_SYSTEM_NAME).setName("output").setCodec(CloudObjects.asCloudObject(windowedGroupedCoder, /*sdkComponents=*/
    null))));
    List<ParallelInstruction> instructions = Arrays.asList(makeWindowingSourceInstruction(kvCoder), mergeWindowsInstruction, // Use multiple stages in the maptask to test caching with multiple stages.
    makeDoFnInstruction(new PassthroughDoFn(), 1, groupedCoder), makeSinkInstruction(groupedCoder, 2));
    FakeWindmillServer server = new FakeWindmillServer(errorCollector);
    StreamingDataflowWorker worker = makeWorker(instructions, createTestingPipelineOptions(server), false);
    Map<String, String> nameMap = new HashMap<>();
    nameMap.put("MergeWindowsStep", "MergeWindows");
    worker.addStateNameMappings(nameMap);
    worker.start();
    server.addWorkToOffer(buildInput("work {" + "  computation_id: \"" + DEFAULT_COMPUTATION_ID + "\"" + "  input_data_watermark: 0" + "  work {" + "    key: \"" + DEFAULT_KEY_STRING + "\"" + "    sharding_key: " + DEFAULT_SHARDING_KEY + "    cache_token: 1" + "    work_token: 1" + "    is_new_key: 1" + "    message_bundles {" + "      source_computation_id: \"" + DEFAULT_SOURCE_COMPUTATION_ID + "\"" + "      messages {" + "        timestamp: 0" + "        data: \"" + dataStringForIndex(0) + "\"" + "      }" + "    }" + "  }" + "}", intervalWindowBytes(WINDOW_AT_ZERO)));
    Map<Long, Windmill.WorkItemCommitRequest> result = server.waitForAndGetCommits(1);
    Iterable<CounterUpdate> counters = worker.buildCounters();
    // These tags and data are opaque strings and this is a change detector test.
    // The "/u" indicates the user's namespace, versus "/s" for system namespace
    String window = "/gAAAAAAAA-joBw/";
    String timerTagPrefix = "/s" + window + "+0";
    ByteString bufferTag = ByteString.copyFromUtf8(window + "+ubuf");
    ByteString paneInfoTag = ByteString.copyFromUtf8(window + "+upane");
    String watermarkDataHoldTag = window + "+uhold";
    String watermarkExtraHoldTag = window + "+uextra";
    String stateFamily = "MergeWindows";
    ByteString bufferData = ByteString.copyFromUtf8("data0");
    // Encoded form for Iterable<String>: -1, true, 'data0', false
    ByteString outputData = ByteString.copyFrom(new byte[] { (byte) 0xff, (byte) 0xff, (byte) 0xff, (byte) 0xff, 0x01, 0x05, 0x64, 0x61, 0x74, 0x61, 0x30, 0x00 });
    // These values are not essential to the change detector test
    long timerTimestamp = 999000L;
    WorkItemCommitRequest actualOutput = result.get(1L);
    // Set timer
    verifyTimers(actualOutput, buildWatermarkTimer(timerTagPrefix, 999));
    assertThat(actualOutput.getBagUpdatesList(), Matchers.contains(Matchers.equalTo(Windmill.TagBag.newBuilder().setTag(bufferTag).setStateFamily(stateFamily).addValues(bufferData).build())));
    verifyHolds(actualOutput, buildHold(watermarkDataHoldTag, 0, false));
    // No state reads
    assertEquals(0L, splitIntToLong(getCounter(counters, "WindmillStateBytesRead").getInteger()));
    // Timer + buffer + watermark hold
    assertEquals(Windmill.WorkItemCommitRequest.newBuilder(actualOutput).clearCounterUpdates().clearOutputMessages().build().getSerializedSize(), splitIntToLong(getCounter(counters, "WindmillStateBytesWritten").getInteger()));
    // Input messages
    assertEquals(VarInt.getLength(0L) + dataStringForIndex(0).length() + addPaneTag(PaneInfo.NO_FIRING, intervalWindowBytes(WINDOW_AT_ZERO)).size() + // proto overhead
    5L, splitIntToLong(getCounter(counters, "WindmillShuffleBytesRead").getInteger()));
    Windmill.GetWorkResponse.Builder getWorkResponse = Windmill.GetWorkResponse.newBuilder();
    getWorkResponse.addWorkBuilder().setComputationId(DEFAULT_COMPUTATION_ID).setInputDataWatermark(timerTimestamp + 1000).addWorkBuilder().setKey(ByteString.copyFromUtf8(DEFAULT_KEY_STRING)).setShardingKey(DEFAULT_SHARDING_KEY).setWorkToken(2).setCacheToken(1).getTimersBuilder().addTimers(buildWatermarkTimer(timerTagPrefix, timerTimestamp));
    server.addWorkToOffer(getWorkResponse.build());
    long expectedBytesRead = 0L;
    Windmill.GetDataResponse.Builder dataResponse = Windmill.GetDataResponse.newBuilder();
    Windmill.KeyedGetDataResponse.Builder dataBuilder = dataResponse.addDataBuilder().setComputationId(DEFAULT_COMPUTATION_ID).addDataBuilder().setKey(ByteString.copyFromUtf8(DEFAULT_KEY_STRING)).setShardingKey(DEFAULT_SHARDING_KEY);
    // These reads are skipped due to being cached from accesses in the first work item processing.
    // dataBuilder
    // .addBagsBuilder()
    // .setTag(bufferTag)
    // .setStateFamily(stateFamily)
    // .addValues(bufferData);
    // dataBuilder
    // .addWatermarkHoldsBuilder()
    // .setTag(ByteString.copyFromUtf8(watermarkDataHoldTag))
    // .setStateFamily(stateFamily)
    // .addTimestamps(0);
    dataBuilder.addWatermarkHoldsBuilder().setTag(ByteString.copyFromUtf8(watermarkExtraHoldTag)).setStateFamily(stateFamily).addTimestamps(0);
    dataBuilder.addValuesBuilder().setTag(paneInfoTag).setStateFamily(stateFamily).getValueBuilder().setTimestamp(0).setData(ByteString.EMPTY);
    server.addDataToOffer(dataResponse.build());
    expectedBytesRead += dataBuilder.build().getSerializedSize();
    result = server.waitForAndGetCommits(1);
    counters = worker.buildCounters();
    actualOutput = result.get(2L);
    assertEquals(1, actualOutput.getOutputMessagesCount());
    assertEquals(DEFAULT_DESTINATION_STREAM_ID, actualOutput.getOutputMessages(0).getDestinationStreamId());
    assertEquals(DEFAULT_KEY_STRING, actualOutput.getOutputMessages(0).getBundles(0).getKey().toStringUtf8());
    assertEquals(0, actualOutput.getOutputMessages(0).getBundles(0).getMessages(0).getTimestamp());
    assertEquals(outputData, actualOutput.getOutputMessages(0).getBundles(0).getMessages(0).getData());
    ByteString metadata = actualOutput.getOutputMessages(0).getBundles(0).getMessages(0).getMetadata();
    InputStream inStream = metadata.newInput();
    assertEquals(PaneInfo.createPane(true, true, Timing.ON_TIME), PaneInfoCoder.INSTANCE.decode(inStream));
    assertEquals(Arrays.asList(WINDOW_AT_ZERO), DEFAULT_WINDOW_COLLECTION_CODER.decode(inStream, Coder.Context.OUTER));
    // Data was deleted
    assertThat("" + actualOutput.getValueUpdatesList(), actualOutput.getValueUpdatesList(), Matchers.contains(Matchers.equalTo(Windmill.TagValue.newBuilder().setTag(paneInfoTag).setStateFamily(stateFamily).setValue(Windmill.Value.newBuilder().setTimestamp(Long.MAX_VALUE).setData(ByteString.EMPTY)).build())));
    assertThat("" + actualOutput.getBagUpdatesList(), actualOutput.getBagUpdatesList(), Matchers.contains(Matchers.equalTo(Windmill.TagBag.newBuilder().setTag(bufferTag).setStateFamily(stateFamily).setDeleteAll(true).build())));
    verifyHolds(actualOutput, buildHold(watermarkDataHoldTag, -1, true), buildHold(watermarkExtraHoldTag, -1, true));
    // State reads for windowing
    assertEquals(expectedBytesRead, splitIntToLong(getCounter(counters, "WindmillStateBytesRead").getInteger()));
    // State updates to clear state
    assertEquals(Windmill.WorkItemCommitRequest.newBuilder(actualOutput).clearCounterUpdates().clearOutputMessages().build().getSerializedSize(), splitIntToLong(getCounter(counters, "WindmillStateBytesWritten").getInteger()));
    // No input messages
    assertEquals(0L, splitIntToLong(getCounter(counters, "WindmillShuffleBytesRead").getInteger()));
    CacheStats stats = worker.stateCache.getCacheStats();
    LOG.info("cache stats {}", stats);
    assertEquals(1, stats.hitCount());
    assertEquals(4, stats.missCount());
}
Also used : ConcurrentHashMap(java.util.concurrent.ConcurrentHashMap) HashMap(java.util.HashMap) ByteString(org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString) InstructionOutput(com.google.api.services.dataflow.model.InstructionOutput) ByteString(org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString) Structs.addString(org.apache.beam.runners.dataflow.util.Structs.addString) SdkComponents(org.apache.beam.runners.core.construction.SdkComponents) WindowedValue(org.apache.beam.sdk.util.WindowedValue) ArrayList(java.util.ArrayList) List(java.util.List) ImmutableList(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList) InputStream(java.io.InputStream) GetWorkResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.GetWorkResponse) KV(org.apache.beam.sdk.values.KV) KeyedGetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.KeyedGetDataResponse) CounterUpdate(com.google.api.services.dataflow.model.CounterUpdate) ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) ParDoInstruction(com.google.api.services.dataflow.model.ParDoInstruction) CloudObject(org.apache.beam.runners.dataflow.util.CloudObject) WorkItemCommitRequest(org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest) AtomicLong(java.util.concurrent.atomic.AtomicLong) DataflowCounterUpdateExtractor.splitIntToLong(org.apache.beam.runners.dataflow.worker.counters.DataflowCounterUpdateExtractor.splitIntToLong) UnsignedLong(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.primitives.UnsignedLong) ComputationGetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.ComputationGetDataResponse) KeyedGetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.KeyedGetDataResponse) GetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.GetDataResponse) CacheStats(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.CacheStats) InstructionInput(com.google.api.services.dataflow.model.InstructionInput) Test(org.junit.Test)

Example 9 with WorkItemCommitRequest

use of org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest in project beam by apache.

the class StreamingDataflowWorkerTest method testMergeWindows.

@Test
public // Runs a merging windows test verifying stored state, holds and timers.
void testMergeWindows() throws Exception {
    Coder<KV<String, String>> kvCoder = KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of());
    Coder<WindowedValue<KV<String, String>>> windowedKvCoder = FullWindowedValueCoder.of(kvCoder, IntervalWindow.getCoder());
    KvCoder<String, List<String>> groupedCoder = KvCoder.of(StringUtf8Coder.of(), ListCoder.of(StringUtf8Coder.of()));
    Coder<WindowedValue<KV<String, List<String>>>> windowedGroupedCoder = FullWindowedValueCoder.of(groupedCoder, IntervalWindow.getCoder());
    CloudObject spec = CloudObject.forClassName("MergeWindowsDoFn");
    SdkComponents sdkComponents = SdkComponents.create();
    sdkComponents.registerEnvironment(Environments.JAVA_SDK_HARNESS_ENVIRONMENT);
    addString(spec, PropertyNames.SERIALIZED_FN, StringUtils.byteArrayToJsonString(WindowingStrategyTranslation.toMessageProto(WindowingStrategy.of(FixedWindows.of(Duration.standardSeconds(1))).withTimestampCombiner(TimestampCombiner.EARLIEST), sdkComponents).toByteArray()));
    addObject(spec, WorkerPropertyNames.INPUT_CODER, CloudObjects.asCloudObject(windowedKvCoder, /*sdkComponents=*/
    null));
    ParallelInstruction mergeWindowsInstruction = new ParallelInstruction().setSystemName("MergeWindows-System").setName("MergeWindowsStep").setOriginalName("MergeWindowsOriginal").setParDo(new ParDoInstruction().setInput(new InstructionInput().setProducerInstructionIndex(0).setOutputNum(0)).setNumOutputs(1).setUserFn(spec)).setOutputs(Arrays.asList(new InstructionOutput().setOriginalName(DEFAULT_OUTPUT_ORIGINAL_NAME).setSystemName(DEFAULT_OUTPUT_SYSTEM_NAME).setName("output").setCodec(CloudObjects.asCloudObject(windowedGroupedCoder, /*sdkComponents=*/
    null))));
    List<ParallelInstruction> instructions = Arrays.asList(makeWindowingSourceInstruction(kvCoder), mergeWindowsInstruction, makeSinkInstruction(groupedCoder, 1));
    FakeWindmillServer server = new FakeWindmillServer(errorCollector);
    StreamingDataflowWorker worker = makeWorker(instructions, createTestingPipelineOptions(server), false);
    Map<String, String> nameMap = new HashMap<>();
    nameMap.put("MergeWindowsStep", "MergeWindows");
    worker.addStateNameMappings(nameMap);
    worker.start();
    server.addWorkToOffer(buildInput("work {" + "  computation_id: \"" + DEFAULT_COMPUTATION_ID + "\"" + "  input_data_watermark: 0" + "  work {" + "    key: \"" + DEFAULT_KEY_STRING + "\"" + "    sharding_key: " + DEFAULT_SHARDING_KEY + "    cache_token: 1" + "    work_token: 1" + "    message_bundles {" + "      source_computation_id: \"" + DEFAULT_SOURCE_COMPUTATION_ID + "\"" + "      messages {" + "        timestamp: 0" + "        data: \"" + dataStringForIndex(0) + "\"" + "      }" + "    }" + "  }" + "}", intervalWindowBytes(WINDOW_AT_ZERO)));
    Map<Long, Windmill.WorkItemCommitRequest> result = server.waitForAndGetCommits(1);
    Iterable<CounterUpdate> counters = worker.buildCounters();
    // These tags and data are opaque strings and this is a change detector test.
    // The "/u" indicates the user's namespace, versus "/s" for system namespace
    String window = "/gAAAAAAAA-joBw/";
    String timerTagPrefix = "/s" + window + "+0";
    ByteString bufferTag = ByteString.copyFromUtf8(window + "+ubuf");
    ByteString paneInfoTag = ByteString.copyFromUtf8(window + "+upane");
    String watermarkDataHoldTag = window + "+uhold";
    String watermarkExtraHoldTag = window + "+uextra";
    String stateFamily = "MergeWindows";
    ByteString bufferData = ByteString.copyFromUtf8("data0");
    // Encoded form for Iterable<String>: -1, true, 'data0', false
    ByteString outputData = ByteString.copyFrom(new byte[] { (byte) 0xff, (byte) 0xff, (byte) 0xff, (byte) 0xff, 0x01, 0x05, 0x64, 0x61, 0x74, 0x61, 0x30, 0x00 });
    // These values are not essential to the change detector test
    long timerTimestamp = 999000L;
    WorkItemCommitRequest actualOutput = result.get(1L);
    // Set timer
    verifyTimers(actualOutput, buildWatermarkTimer(timerTagPrefix, 999));
    assertThat(actualOutput.getBagUpdatesList(), Matchers.contains(Matchers.equalTo(Windmill.TagBag.newBuilder().setTag(bufferTag).setStateFamily(stateFamily).addValues(bufferData).build())));
    verifyHolds(actualOutput, buildHold(watermarkDataHoldTag, 0, false));
    // No state reads
    assertEquals(0L, splitIntToLong(getCounter(counters, "WindmillStateBytesRead").getInteger()));
    // Timer + buffer + watermark hold
    assertEquals(Windmill.WorkItemCommitRequest.newBuilder(actualOutput).clearCounterUpdates().clearOutputMessages().build().getSerializedSize(), splitIntToLong(getCounter(counters, "WindmillStateBytesWritten").getInteger()));
    // Input messages
    assertEquals(VarInt.getLength(0L) + dataStringForIndex(0).length() + addPaneTag(PaneInfo.NO_FIRING, intervalWindowBytes(WINDOW_AT_ZERO)).size() + // proto overhead
    5L, splitIntToLong(getCounter(counters, "WindmillShuffleBytesRead").getInteger()));
    Windmill.GetWorkResponse.Builder getWorkResponse = Windmill.GetWorkResponse.newBuilder();
    getWorkResponse.addWorkBuilder().setComputationId(DEFAULT_COMPUTATION_ID).setInputDataWatermark(timerTimestamp + 1000).addWorkBuilder().setKey(ByteString.copyFromUtf8(DEFAULT_KEY_STRING)).setShardingKey(DEFAULT_SHARDING_KEY).setWorkToken(2).setCacheToken(1).getTimersBuilder().addTimers(buildWatermarkTimer(timerTagPrefix, timerTimestamp));
    server.addWorkToOffer(getWorkResponse.build());
    long expectedBytesRead = 0L;
    Windmill.GetDataResponse.Builder dataResponse = Windmill.GetDataResponse.newBuilder();
    Windmill.KeyedGetDataResponse.Builder dataBuilder = dataResponse.addDataBuilder().setComputationId(DEFAULT_COMPUTATION_ID).addDataBuilder().setKey(ByteString.copyFromUtf8(DEFAULT_KEY_STRING)).setShardingKey(DEFAULT_SHARDING_KEY);
    dataBuilder.addBagsBuilder().setTag(bufferTag).setStateFamily(stateFamily).addValues(bufferData);
    dataBuilder.addWatermarkHoldsBuilder().setTag(ByteString.copyFromUtf8(watermarkDataHoldTag)).setStateFamily(stateFamily).addTimestamps(0);
    dataBuilder.addWatermarkHoldsBuilder().setTag(ByteString.copyFromUtf8(watermarkExtraHoldTag)).setStateFamily(stateFamily).addTimestamps(0);
    dataBuilder.addValuesBuilder().setTag(paneInfoTag).setStateFamily(stateFamily).getValueBuilder().setTimestamp(0).setData(ByteString.EMPTY);
    server.addDataToOffer(dataResponse.build());
    expectedBytesRead += dataBuilder.build().getSerializedSize();
    result = server.waitForAndGetCommits(1);
    counters = worker.buildCounters();
    actualOutput = result.get(2L);
    assertEquals(1, actualOutput.getOutputMessagesCount());
    assertEquals(DEFAULT_DESTINATION_STREAM_ID, actualOutput.getOutputMessages(0).getDestinationStreamId());
    assertEquals(DEFAULT_KEY_STRING, actualOutput.getOutputMessages(0).getBundles(0).getKey().toStringUtf8());
    assertEquals(0, actualOutput.getOutputMessages(0).getBundles(0).getMessages(0).getTimestamp());
    assertEquals(outputData, actualOutput.getOutputMessages(0).getBundles(0).getMessages(0).getData());
    ByteString metadata = actualOutput.getOutputMessages(0).getBundles(0).getMessages(0).getMetadata();
    InputStream inStream = metadata.newInput();
    assertEquals(PaneInfo.createPane(true, true, Timing.ON_TIME), PaneInfoCoder.INSTANCE.decode(inStream));
    assertEquals(Arrays.asList(WINDOW_AT_ZERO), DEFAULT_WINDOW_COLLECTION_CODER.decode(inStream, Coder.Context.OUTER));
    // Data was deleted
    assertThat("" + actualOutput.getValueUpdatesList(), actualOutput.getValueUpdatesList(), Matchers.contains(Matchers.equalTo(Windmill.TagValue.newBuilder().setTag(paneInfoTag).setStateFamily(stateFamily).setValue(Windmill.Value.newBuilder().setTimestamp(Long.MAX_VALUE).setData(ByteString.EMPTY)).build())));
    assertThat("" + actualOutput.getBagUpdatesList(), actualOutput.getBagUpdatesList(), Matchers.contains(Matchers.equalTo(Windmill.TagBag.newBuilder().setTag(bufferTag).setStateFamily(stateFamily).setDeleteAll(true).build())));
    verifyHolds(actualOutput, buildHold(watermarkDataHoldTag, -1, true), buildHold(watermarkExtraHoldTag, -1, true));
    // State reads for windowing
    assertEquals(expectedBytesRead, splitIntToLong(getCounter(counters, "WindmillStateBytesRead").getInteger()));
    // State updates to clear state
    assertEquals(Windmill.WorkItemCommitRequest.newBuilder(actualOutput).clearCounterUpdates().clearOutputMessages().build().getSerializedSize(), splitIntToLong(getCounter(counters, "WindmillStateBytesWritten").getInteger()));
    // No input messages
    assertEquals(0L, splitIntToLong(getCounter(counters, "WindmillShuffleBytesRead").getInteger()));
}
Also used : ConcurrentHashMap(java.util.concurrent.ConcurrentHashMap) HashMap(java.util.HashMap) ByteString(org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString) InstructionOutput(com.google.api.services.dataflow.model.InstructionOutput) ByteString(org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString) Structs.addString(org.apache.beam.runners.dataflow.util.Structs.addString) SdkComponents(org.apache.beam.runners.core.construction.SdkComponents) WindowedValue(org.apache.beam.sdk.util.WindowedValue) ArrayList(java.util.ArrayList) List(java.util.List) ImmutableList(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList) InputStream(java.io.InputStream) GetWorkResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.GetWorkResponse) KV(org.apache.beam.sdk.values.KV) KeyedGetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.KeyedGetDataResponse) CounterUpdate(com.google.api.services.dataflow.model.CounterUpdate) ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) ParDoInstruction(com.google.api.services.dataflow.model.ParDoInstruction) CloudObject(org.apache.beam.runners.dataflow.util.CloudObject) WorkItemCommitRequest(org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest) AtomicLong(java.util.concurrent.atomic.AtomicLong) DataflowCounterUpdateExtractor.splitIntToLong(org.apache.beam.runners.dataflow.worker.counters.DataflowCounterUpdateExtractor.splitIntToLong) UnsignedLong(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.primitives.UnsignedLong) ComputationGetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.ComputationGetDataResponse) KeyedGetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.KeyedGetDataResponse) GetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.GetDataResponse) InstructionInput(com.google.api.services.dataflow.model.InstructionInput) Test(org.junit.Test)

Example 10 with WorkItemCommitRequest

use of org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest in project beam by apache.

the class StreamingDataflowWorkerTest method testKeyCommitTooLargeException.

@Test
public void testKeyCommitTooLargeException() throws Exception {
    KvCoder<String, String> kvCoder = KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of());
    List<ParallelInstruction> instructions = Arrays.asList(makeSourceInstruction(kvCoder), makeDoFnInstruction(new LargeCommitFn(), 0, kvCoder), makeSinkInstruction(kvCoder, 1));
    FakeWindmillServer server = new FakeWindmillServer(errorCollector);
    server.setExpectedExceptionCount(1);
    StreamingDataflowWorker worker = makeWorker(instructions, createTestingPipelineOptions(server), true);
    worker.setMaxWorkItemCommitBytes(1000);
    worker.start();
    server.addWorkToOffer(makeInput(1, 0, "large_key", DEFAULT_SHARDING_KEY));
    server.addWorkToOffer(makeInput(2, 0, "key", DEFAULT_SHARDING_KEY));
    server.waitForEmptyWorkQueue();
    Map<Long, Windmill.WorkItemCommitRequest> result = server.waitForAndGetCommits(1);
    assertEquals(2, result.size());
    assertEquals(makeExpectedOutput(2, 0, "key", DEFAULT_SHARDING_KEY, "key").build(), result.get(2L));
    assertTrue(result.containsKey(1L));
    WorkItemCommitRequest largeCommit = result.get(1L);
    assertEquals("large_key", largeCommit.getKey().toStringUtf8());
    assertEquals(makeExpectedTruncationRequestOutput(1, "large_key", DEFAULT_SHARDING_KEY, largeCommit.getEstimatedWorkItemCommitBytes()).build(), largeCommit);
    // Check this explicitly since the estimated commit bytes weren't actually
    // checked against an expected value in the previous step
    assertTrue(largeCommit.getEstimatedWorkItemCommitBytes() > 1000);
    // Spam worker updates a few times.
    int maxTries = 10;
    while (--maxTries > 0) {
        worker.reportPeriodicWorkerUpdates();
        Uninterruptibles.sleepUninterruptibly(1000, TimeUnit.MILLISECONDS);
    }
    // We should see an exception reported for the large commit but not the small one.
    ArgumentCaptor<WorkItemStatus> workItemStatusCaptor = ArgumentCaptor.forClass(WorkItemStatus.class);
    verify(mockWorkUnitClient, atLeast(2)).reportWorkItemStatus(workItemStatusCaptor.capture());
    List<WorkItemStatus> capturedStatuses = workItemStatusCaptor.getAllValues();
    boolean foundErrors = false;
    for (WorkItemStatus status : capturedStatuses) {
        if (!status.getErrors().isEmpty()) {
            assertFalse(foundErrors);
            foundErrors = true;
            String errorMessage = status.getErrors().get(0).getMessage();
            assertThat(errorMessage, Matchers.containsString("KeyCommitTooLargeException"));
        }
    }
    assertTrue(foundErrors);
}
Also used : ByteString(org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString) Structs.addString(org.apache.beam.runners.dataflow.util.Structs.addString) ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) WorkItemStatus(com.google.api.services.dataflow.model.WorkItemStatus) WorkItemCommitRequest(org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest) AtomicLong(java.util.concurrent.atomic.AtomicLong) DataflowCounterUpdateExtractor.splitIntToLong(org.apache.beam.runners.dataflow.worker.counters.DataflowCounterUpdateExtractor.splitIntToLong) UnsignedLong(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.primitives.UnsignedLong) Test(org.junit.Test)

Aggregations

WorkItemCommitRequest (org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest)10 ArrayList (java.util.ArrayList)6 HashMap (java.util.HashMap)5 AtomicLong (java.util.concurrent.atomic.AtomicLong)5 ByteString (org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString)5 ParallelInstruction (com.google.api.services.dataflow.model.ParallelInstruction)4 List (java.util.List)4 ConcurrentHashMap (java.util.concurrent.ConcurrentHashMap)4 CloudObject (org.apache.beam.runners.dataflow.util.CloudObject)4 Structs.addString (org.apache.beam.runners.dataflow.util.Structs.addString)4 DataflowCounterUpdateExtractor.splitIntToLong (org.apache.beam.runners.dataflow.worker.counters.DataflowCounterUpdateExtractor.splitIntToLong)4 UnsignedLong (org.apache.beam.vendor.guava.v26_0_jre.com.google.common.primitives.UnsignedLong)4 Test (org.junit.Test)4 CounterUpdate (com.google.api.services.dataflow.model.CounterUpdate)3 InstructionInput (com.google.api.services.dataflow.model.InstructionInput)3 InstructionOutput (com.google.api.services.dataflow.model.InstructionOutput)3 ParDoInstruction (com.google.api.services.dataflow.model.ParDoInstruction)3 InputStream (java.io.InputStream)3 SdkComponents (org.apache.beam.runners.core.construction.SdkComponents)3 WindowedValue (org.apache.beam.sdk.util.WindowedValue)3