Examples with Timers org.apache.beam.model.fnexecution.v1.BeamFnApi.Elements.Timers used on opensource projects

Example 1 with Timers

use of org.apache.beam.model.fnexecution.v1.BeamFnApi.Elements.Timers in project beam by apache.

the class ProcessBundleDescriptors method fromExecutableStageInternal.

private static ExecutableProcessBundleDescriptor fromExecutableStageInternal(String id, ExecutableStage stage, ApiServiceDescriptor dataEndpoint, @Nullable ApiServiceDescriptor stateEndpoint) throws IOException {
    // Create with all of the processing transforms, and all of the components.
    // TODO: Remove the unreachable subcomponents if the size of the descriptor matters.
    Map<String, PTransform> stageTransforms = stage.getTransforms().stream().collect(Collectors.toMap(PTransformNode::getId, PTransformNode::getTransform));
    Components.Builder components = stage.getComponents().toBuilder().clearTransforms().putAllTransforms(stageTransforms);
    ImmutableList.Builder<RemoteInputDestination> inputDestinationsBuilder = ImmutableList.builder();
    ImmutableMap.Builder<String, Coder> remoteOutputCodersBuilder = ImmutableMap.builder();
    WireCoderSetting wireCoderSetting = stage.getWireCoderSettings().stream().filter(ws -> ws.getInputOrOutputId().equals(stage.getInputPCollection().getId())).findAny().orElse(WireCoderSetting.getDefaultInstance());
    // The order of these does not matter.
    inputDestinationsBuilder.add(addStageInput(dataEndpoint, stage.getInputPCollection(), components, wireCoderSetting));
    remoteOutputCodersBuilder.putAll(addStageOutputs(dataEndpoint, stage.getOutputPCollections(), components, stage.getWireCoderSettings()));
    Map<String, Map<String, SideInputSpec>> sideInputSpecs = addSideInputs(stage, components);
    Map<String, Map<String, BagUserStateSpec>> bagUserStateSpecs = forBagUserStates(stage, components.build());
    Map<String, Map<String, TimerSpec>> timerSpecs = forTimerSpecs(stage, components);
    lengthPrefixAnyInputCoder(stage.getInputPCollection().getId(), components);
    // Copy data from components to ProcessBundleDescriptor.
    ProcessBundleDescriptor.Builder bundleDescriptorBuilder = ProcessBundleDescriptor.newBuilder().setId(id);
    if (stateEndpoint != null) {
        bundleDescriptorBuilder.setStateApiServiceDescriptor(stateEndpoint);
    }
    if (timerSpecs.size() > 0) {
        // By default use the data endpoint for timers, in the future considering enabling specifying
        // a different ApiServiceDescriptor for timers.
        bundleDescriptorBuilder.setTimerApiServiceDescriptor(dataEndpoint);
    }
    bundleDescriptorBuilder.putAllCoders(components.getCodersMap()).putAllEnvironments(components.getEnvironmentsMap()).putAllPcollections(components.getPcollectionsMap()).putAllWindowingStrategies(components.getWindowingStrategiesMap()).putAllTransforms(components.getTransformsMap());
    return ExecutableProcessBundleDescriptor.of(bundleDescriptorBuilder.build(), inputDestinationsBuilder.build(), remoteOutputCodersBuilder.build(), sideInputSpecs, bagUserStateSpecs, timerSpecs);
}

Example 2 with Timers

use of org.apache.beam.model.fnexecution.v1.BeamFnApi.Elements.Timers in project beam by apache.

the class BeamFnDataOutboundAggregator method sendOrCollectBufferedDataAndFinishOutboundStreams.

/**
 * Closes the streams for all registered outbound endpoints. Should be called at the end of each
 * bundle. Returns the buffered Elements if the BeamFnDataOutboundAggregator started with
 * collectElementsIfNoFlushes=true, and there was no previous flush in this bundle, otherwise
 * returns null.
 */
public Elements sendOrCollectBufferedDataAndFinishOutboundStreams() {
    if (outputTimersReceivers.isEmpty() && outputDataReceivers.isEmpty()) {
        return null;
    }
    Elements.Builder bufferedElements;
    if (timeLimit > 0) {
        synchronized (flushLock) {
            bufferedElements = convertBufferForTransmission();
        }
    } else {
        bufferedElements = convertBufferForTransmission();
    }
    LOG.debug("Closing streams for instruction {} and outbound data {} and timers {}.", processBundleRequestIdSupplier.get(), outputDataReceivers, outputTimersReceivers);
    for (Map.Entry<String, Receiver<?>> entry : outputDataReceivers.entrySet()) {
        String pTransformId = entry.getKey();
        bufferedElements.addDataBuilder().setInstructionId(processBundleRequestIdSupplier.get()).setTransformId(pTransformId).setIsLast(true);
        entry.getValue().resetStats();
    }
    for (Map.Entry<TimerEndpoint, Receiver<?>> entry : outputTimersReceivers.entrySet()) {
        TimerEndpoint timerKey = entry.getKey();
        bufferedElements.addTimersBuilder().setInstructionId(processBundleRequestIdSupplier.get()).setTransformId(timerKey.pTransformId).setTimerFamilyId(timerKey.timerFamilyId).setIsLast(true);
        entry.getValue().resetStats();
    }
    if (collectElementsIfNoFlushes && !hasFlushedForBundle) {
        return bufferedElements.build();
    }
    outboundObserver.onNext(bufferedElements.build());
    // This is now at the end of a bundle, so we reset hasFlushedForBundle to prepare for new
    // bundles.
    hasFlushedForBundle = false;
    return null;
}

Example 3 with Timers

use of org.apache.beam.model.fnexecution.v1.BeamFnApi.Elements.Timers in project beam by apache.

the class BeamFnDataInboundObserver2 method multiplexElements.

/**
 * Dispatches the data and timers from the elements to corresponding receivers. Returns true if
 * all the endpoints are done after elements dispatching.
 */
public boolean multiplexElements(Elements elements) throws Exception {
    for (BeamFnApi.Elements.Data data : elements.getDataList()) {
        EndpointStatus<DataEndpoint<?>> endpoint = transformIdToDataEndpoint.get(data.getTransformId());
        if (endpoint == null) {
            throw new IllegalStateException(String.format("Unable to find inbound data receiver for instruction %s and transform %s.", data.getInstructionId(), data.getTransformId()));
        } else if (endpoint.isDone) {
            throw new IllegalStateException(String.format("Received data after inbound data receiver is done for instruction %s and transform %s.", data.getInstructionId(), data.getTransformId()));
        }
        InputStream inputStream = data.getData().newInput();
        Coder<Object> coder = (Coder<Object>) endpoint.endpoint.getCoder();
        FnDataReceiver<Object> receiver = (FnDataReceiver<Object>) endpoint.endpoint.getReceiver();
        while (inputStream.available() > 0) {
            receiver.accept(coder.decode(inputStream));
        }
        if (data.getIsLast()) {
            endpoint.isDone = true;
            numEndpointsThatAreIncomplete -= 1;
        }
    }
    for (BeamFnApi.Elements.Timers timers : elements.getTimersList()) {
        Map<String, EndpointStatus<TimerEndpoint<?>>> timerFamilyIdToEndpoints = transformIdToTimerFamilyIdToTimerEndpoint.get(timers.getTransformId());
        if (timerFamilyIdToEndpoints == null) {
            throw new IllegalStateException(String.format("Unable to find inbound timer receiver for instruction %s, transform %s, and timer family %s.", timers.getInstructionId(), timers.getTransformId(), timers.getTimerFamilyId()));
        }
        EndpointStatus<TimerEndpoint<?>> endpoint = timerFamilyIdToEndpoints.get(timers.getTimerFamilyId());
        if (endpoint == null) {
            throw new IllegalStateException(String.format("Unable to find inbound timer receiver for instruction %s, transform %s, and timer family %s.", timers.getInstructionId(), timers.getTransformId(), timers.getTimerFamilyId()));
        } else if (endpoint.isDone) {
            throw new IllegalStateException(String.format("Received timer after inbound timer receiver is done for instruction %s, transform %s, and timer family %s.", timers.getInstructionId(), timers.getTransformId(), timers.getTimerFamilyId()));
        }
        InputStream inputStream = timers.getTimers().newInput();
        Coder<Object> coder = (Coder<Object>) endpoint.endpoint.getCoder();
        FnDataReceiver<Object> receiver = (FnDataReceiver<Object>) endpoint.endpoint.getReceiver();
        while (inputStream.available() > 0) {
            receiver.accept(coder.decode(inputStream));
        }
        if (timers.getIsLast()) {
            endpoint.isDone = true;
            numEndpointsThatAreIncomplete -= 1;
        }
    }
    return numEndpointsThatAreIncomplete == 0;
}

Example 4 with Timers

use of org.apache.beam.model.fnexecution.v1.BeamFnApi.Elements.Timers in project beam by apache.

the class ExecutableStageDoFnOperatorTest method testWatermarkHandling.

@Test
public void testWatermarkHandling() throws Exception {
    TupleTag<Integer> mainOutput = new TupleTag<>("main-output");
    DoFnOperator.MultiOutputOutputManagerFactory<Integer> outputManagerFactory = new DoFnOperator.MultiOutputOutputManagerFactory(mainOutput, VoidCoder.of(), new SerializablePipelineOptions(FlinkPipelineOptions.defaults()));
    ExecutableStageDoFnOperator<KV<String, Integer>, Integer> operator = getOperator(mainOutput, Collections.emptyList(), outputManagerFactory, WindowingStrategy.of(FixedWindows.of(Duration.millis(10))), StringUtf8Coder.of(), WindowedValue.getFullCoder(KvCoder.of(StringUtf8Coder.of(), VarIntCoder.of()), IntervalWindow.getCoder()));
    KeyedOneInputStreamOperatorTestHarness<String, WindowedValue<KV<String, Integer>>, WindowedValue<Integer>> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(operator, val -> val.getValue().getKey(), new CoderTypeInformation<>(StringUtf8Coder.of(), FlinkPipelineOptions.defaults()));
    RemoteBundle bundle = Mockito.mock(RemoteBundle.class);
    when(bundle.getInputReceivers()).thenReturn(ImmutableMap.<String, FnDataReceiver<WindowedValue>>builder().put("input", Mockito.mock(FnDataReceiver.class)).build());
    when(bundle.getTimerReceivers()).thenReturn(ImmutableMap.<KV<String, String>, FnDataReceiver<WindowedValue>>builder().put(KV.of("transform", "timer"), Mockito.mock(FnDataReceiver.class)).put(KV.of("transform", "timer2"), Mockito.mock(FnDataReceiver.class)).put(KV.of("transform", "timer3"), Mockito.mock(FnDataReceiver.class)).build());
    when(stageBundleFactory.getBundle(any(), any(), any(), any(), any(), any())).thenReturn(bundle);
    testHarness.open();
    assertThat(operator.getCurrentOutputWatermark(), is(BoundedWindow.TIMESTAMP_MIN_VALUE.getMillis()));
    // No bundle has been started, watermark can be freely advanced
    testHarness.processWatermark(0);
    assertThat(operator.getCurrentOutputWatermark(), is(0L));
    // Trigger a new bundle
    IntervalWindow intervalWindow = new IntervalWindow(new Instant(0), new Instant(9));
    WindowedValue<KV<String, Integer>> windowedValue = WindowedValue.of(KV.of("one", 1), Instant.now(), intervalWindow, PaneInfo.NO_FIRING);
    testHarness.processElement(new StreamRecord<>(windowedValue));
    // The output watermark should be held back during the bundle
    testHarness.processWatermark(1);
    assertThat(operator.getEffectiveInputWatermark(), is(1L));
    assertThat(operator.getCurrentOutputWatermark(), is(0L));
    // After the bundle has been finished, the watermark should be advanced
    operator.invokeFinishBundle();
    assertThat(operator.getCurrentOutputWatermark(), is(1L));
    // Bundle finished, watermark can be freely advanced
    testHarness.processWatermark(2);
    assertThat(operator.getEffectiveInputWatermark(), is(2L));
    assertThat(operator.getCurrentOutputWatermark(), is(2L));
    // Trigger a new bundle
    testHarness.processElement(new StreamRecord<>(windowedValue));
    // cleanup timer
    assertThat(testHarness.numEventTimeTimers(), is(1));
    // Set at timer
    Instant timerTarget = new Instant(5);
    Instant timerTarget2 = new Instant(6);
    operator.getLockToAcquireForStateAccessDuringBundles().lock();
    BiConsumer<String, Instant> timerConsumer = (timerId, timestamp) -> operator.setTimer(Timer.of(windowedValue.getValue().getKey(), "", windowedValue.getWindows(), timestamp, timestamp, PaneInfo.NO_FIRING), TimerInternals.TimerData.of("", TimerReceiverFactory.encodeToTimerDataTimerId("transform", timerId), StateNamespaces.window(IntervalWindow.getCoder(), intervalWindow), timestamp, timestamp, TimeDomain.EVENT_TIME));
    timerConsumer.accept("timer", timerTarget);
    timerConsumer.accept("timer2", timerTarget2);
    assertThat(testHarness.numEventTimeTimers(), is(3));
    // Advance input watermark past the timer
    // Check the output watermark is held back
    long targetWatermark = timerTarget.getMillis() + 100;
    testHarness.processWatermark(targetWatermark);
    // Do not yet advance the output watermark because we are still processing a bundle
    assertThat(testHarness.numEventTimeTimers(), is(3));
    assertThat(operator.getCurrentOutputWatermark(), is(2L));
    // Check that the timers are fired but the output watermark is advanced no further than
    // the minimum timer timestamp of the previous bundle because we are still processing a
    // bundle which might contain more timers.
    // Timers can create loops if they keep rescheduling themselves when firing
    // Thus, we advance the watermark asynchronously to allow for checkpointing to run
    operator.invokeFinishBundle();
    assertThat(testHarness.numEventTimeTimers(), is(3));
    testHarness.setProcessingTime(testHarness.getProcessingTime() + 1);
    assertThat(testHarness.numEventTimeTimers(), is(0));
    assertThat(operator.getCurrentOutputWatermark(), is(5L));
    // Output watermark is advanced synchronously when the bundle finishes,
    // no more timers are scheduled
    operator.invokeFinishBundle();
    assertThat(operator.getCurrentOutputWatermark(), is(targetWatermark));
    assertThat(testHarness.numEventTimeTimers(), is(0));
    // Watermark is advanced in a blocking fashion on close, not via a timers
    // Create a bundle with a pending timer to simulate that
    testHarness.processElement(new StreamRecord<>(windowedValue));
    timerConsumer.accept("timer3", new Instant(targetWatermark));
    assertThat(testHarness.numEventTimeTimers(), is(1));
    // This should be blocking until the watermark reaches Long.MAX_VALUE.
    testHarness.close();
    assertThat(testHarness.numEventTimeTimers(), is(0));
    assertThat(operator.getCurrentOutputWatermark(), is(Long.MAX_VALUE));
}

Example 5 with Timers

use of org.apache.beam.model.fnexecution.v1.BeamFnApi.Elements.Timers 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);
    }
}