Examples with OutputTag org.apache.flink.util.OutputTag used on opensource projects

Example 16 with OutputTag

use of org.apache.flink.util.OutputTag in project flink by apache.

the class StreamOperatorChainingTest method testMultiChainingWithSplit.

/**
 * Verify that multi-chaining works with object reuse enabled.
 */
private void testMultiChainingWithSplit(StreamExecutionEnvironment env) throws Exception {
    // set parallelism to 2 to avoid chaining with source in case when available processors is
    // 1.
    env.setParallelism(2);
    // the actual elements will not be used
    DataStream<Integer> input = env.fromElements(1, 2, 3);
    sink1Results = new ArrayList<>();
    sink2Results = new ArrayList<>();
    sink3Results = new ArrayList<>();
    input = input.map(value -> value);
    OutputTag<Integer> oneOutput = new OutputTag<Integer>("one") {
    };
    OutputTag<Integer> otherOutput = new OutputTag<Integer>("other") {
    };
    SingleOutputStreamOperator<Object> split = input.process(new ProcessFunction<Integer, Object>() {

        private static final long serialVersionUID = 1L;

        @Override
        public void processElement(Integer value, Context ctx, Collector<Object> out) throws Exception {
            if (value.equals(1)) {
                ctx.output(oneOutput, value);
            } else {
                ctx.output(otherOutput, value);
            }
        }
    });
    split.getSideOutput(oneOutput).map(value -> "First 1: " + value).addSink(new SinkFunction<String>() {

        @Override
        public void invoke(String value, Context ctx) throws Exception {
            sink1Results.add(value);
        }
    });
    split.getSideOutput(oneOutput).map(value -> "First 2: " + value).addSink(new SinkFunction<String>() {

        @Override
        public void invoke(String value, Context ctx) throws Exception {
            sink2Results.add(value);
        }
    });
    split.getSideOutput(otherOutput).map(value -> "Second: " + value).addSink(new SinkFunction<String>() {

        @Override
        public void invoke(String value, Context ctx) throws Exception {
            sink3Results.add(value);
        }
    });
    // be build our own StreamTask and OperatorChain
    JobGraph jobGraph = env.getStreamGraph().getJobGraph();
    Assert.assertTrue(jobGraph.getVerticesSortedTopologicallyFromSources().size() == 2);
    JobVertex chainedVertex = jobGraph.getVerticesSortedTopologicallyFromSources().get(1);
    Configuration configuration = chainedVertex.getConfiguration();
    StreamConfig streamConfig = new StreamConfig(configuration);
    StreamMap<Integer, Integer> headOperator = streamConfig.getStreamOperator(Thread.currentThread().getContextClassLoader());
    try (MockEnvironment environment = createMockEnvironment(chainedVertex.getName())) {
        StreamTask<Integer, StreamMap<Integer, Integer>> mockTask = createMockTask(streamConfig, environment);
        OperatorChain<Integer, StreamMap<Integer, Integer>> operatorChain = createOperatorChain(streamConfig, environment, mockTask);
        headOperator.setup(mockTask, streamConfig, operatorChain.getMainOperatorOutput());
        operatorChain.initializeStateAndOpenOperators(null);
        headOperator.processElement(new StreamRecord<>(1));
        headOperator.processElement(new StreamRecord<>(2));
        headOperator.processElement(new StreamRecord<>(3));
        assertThat(sink1Results, contains("First 1: 1"));
        assertThat(sink2Results, contains("First 2: 1"));
        assertThat(sink3Results, contains("Second: 2", "Second: 3"));
    }
}

Example 17 with OutputTag

use of org.apache.flink.util.OutputTag in project beam by apache.

the class ExecutableStageDoFnOperatorTest method outputsAreTaggedCorrectly.

@Test
public void outputsAreTaggedCorrectly() throws Exception {
    WindowedValue.ValueOnlyWindowedValueCoder<Integer> coder = WindowedValue.getValueOnlyCoder(VarIntCoder.of());
    TupleTag<Integer> mainOutput = new TupleTag<>("main-output");
    TupleTag<Integer> additionalOutput1 = new TupleTag<>("output-1");
    TupleTag<Integer> additionalOutput2 = new TupleTag<>("output-2");
    ImmutableMap<TupleTag<?>, OutputTag<?>> tagsToOutputTags = ImmutableMap.<TupleTag<?>, OutputTag<?>>builder().put(additionalOutput1, new OutputTag<WindowedValue<String>>(additionalOutput1.getId()) {
    }).put(additionalOutput2, new OutputTag<WindowedValue<String>>(additionalOutput2.getId()) {
    }).build();
    ImmutableMap<TupleTag<?>, Coder<WindowedValue<?>>> tagsToCoders = ImmutableMap.<TupleTag<?>, Coder<WindowedValue<?>>>builder().put(mainOutput, (Coder) coder).put(additionalOutput1, coder).put(additionalOutput2, coder).build();
    ImmutableMap<TupleTag<?>, Integer> tagsToIds = ImmutableMap.<TupleTag<?>, Integer>builder().put(mainOutput, 0).put(additionalOutput1, 1).put(additionalOutput2, 2).build();
    DoFnOperator.MultiOutputOutputManagerFactory<Integer> outputManagerFactory = new DoFnOperator.MultiOutputOutputManagerFactory(mainOutput, tagsToOutputTags, tagsToCoders, tagsToIds, new SerializablePipelineOptions(FlinkPipelineOptions.defaults()));
    WindowedValue<Integer> zero = WindowedValue.valueInGlobalWindow(0);
    WindowedValue<Integer> three = WindowedValue.valueInGlobalWindow(3);
    WindowedValue<Integer> four = WindowedValue.valueInGlobalWindow(4);
    WindowedValue<Integer> five = WindowedValue.valueInGlobalWindow(5);
    // We use a real StageBundleFactory here in order to exercise the output receiver factory.
    StageBundleFactory stageBundleFactory = new StageBundleFactory() {

        private boolean onceEmitted;

        @Override
        public RemoteBundle getBundle(OutputReceiverFactory receiverFactory, TimerReceiverFactory timerReceiverFactory, StateRequestHandler stateRequestHandler, BundleProgressHandler progressHandler, BundleFinalizationHandler finalizationHandler, BundleCheckpointHandler checkpointHandler) {
            return new RemoteBundle() {

                @Override
                public String getId() {
                    return "bundle-id";
                }

                @Override
                public Map<String, FnDataReceiver> getInputReceivers() {
                    return ImmutableMap.of("input", input -> {
                    /* Ignore input*/
                    });
                }

                @Override
                public Map<KV<String, String>, FnDataReceiver<Timer>> getTimerReceivers() {
                    return Collections.emptyMap();
                }

                @Override
                public void requestProgress() {
                    throw new UnsupportedOperationException();
                }

                @Override
                public void split(double fractionOfRemainder) {
                    throw new UnsupportedOperationException();
                }

                @Override
                public void close() throws Exception {
                    if (onceEmitted) {
                        return;
                    }
                    // Emit all values to the runner when the bundle is closed.
                    receiverFactory.create(mainOutput.getId()).accept(three);
                    receiverFactory.create(additionalOutput1.getId()).accept(four);
                    receiverFactory.create(additionalOutput2.getId()).accept(five);
                    onceEmitted = true;
                }
            };
        }

        @Override
        public ProcessBundleDescriptors.ExecutableProcessBundleDescriptor getProcessBundleDescriptor() {
            return processBundleDescriptor;
        }

        @Override
        public InstructionRequestHandler getInstructionRequestHandler() {
            return null;
        }

        @Override
        public void close() {
        }
    };
    // Wire the stage bundle factory into our context.
    when(stageContext.getStageBundleFactory(any())).thenReturn(stageBundleFactory);
    ExecutableStageDoFnOperator<Integer, Integer> operator = getOperator(mainOutput, ImmutableList.of(additionalOutput1, additionalOutput2), outputManagerFactory);
    OneInputStreamOperatorTestHarness<WindowedValue<Integer>, WindowedValue<Integer>> testHarness = new OneInputStreamOperatorTestHarness<>(operator);
    long watermark = testHarness.getCurrentWatermark() + 1;
    testHarness.open();
    testHarness.processElement(new StreamRecord<>(zero));
    testHarness.processWatermark(watermark);
    watermark++;
    testHarness.processWatermark(watermark);
    assertEquals(watermark, testHarness.getCurrentWatermark());
    // watermark hold until bundle complete
    assertEquals(0, testHarness.getOutput().size());
    // triggers finish bundle
    testHarness.close();
    assertThat(stripStreamRecordFromWindowedValue(testHarness.getOutput()), contains(three));
    assertThat(testHarness.getSideOutput(tagsToOutputTags.get(additionalOutput1)), contains(new StreamRecord<>(four)));
    assertThat(testHarness.getSideOutput(tagsToOutputTags.get(additionalOutput2)), contains(new StreamRecord<>(five)));
}

Example 18 with OutputTag

use of org.apache.flink.util.OutputTag in project beam by apache.

the class FlinkStreamingPortablePipelineTranslator method translateExecutableStage.

private <InputT, OutputT> void translateExecutableStage(String id, RunnerApi.Pipeline pipeline, StreamingTranslationContext context) {
    // TODO: Fail on splittable DoFns.
    // TODO: Special-case single outputs to avoid multiplexing PCollections.
    RunnerApi.Components components = pipeline.getComponents();
    RunnerApi.PTransform transform = components.getTransformsOrThrow(id);
    Map<String, String> outputs = transform.getOutputsMap();
    final RunnerApi.ExecutableStagePayload stagePayload;
    try {
        stagePayload = RunnerApi.ExecutableStagePayload.parseFrom(transform.getSpec().getPayload());
    } catch (IOException e) {
        throw new RuntimeException(e);
    }
    String inputPCollectionId = stagePayload.getInput();
    final TransformedSideInputs transformedSideInputs;
    if (stagePayload.getSideInputsCount() > 0) {
        transformedSideInputs = transformSideInputs(stagePayload, components, context);
    } else {
        transformedSideInputs = new TransformedSideInputs(Collections.emptyMap(), null);
    }
    Map<TupleTag<?>, OutputTag<WindowedValue<?>>> tagsToOutputTags = Maps.newLinkedHashMap();
    Map<TupleTag<?>, Coder<WindowedValue<?>>> tagsToCoders = Maps.newLinkedHashMap();
    // TODO: does it matter which output we designate as "main"
    final TupleTag<OutputT> mainOutputTag = outputs.isEmpty() ? null : new TupleTag(outputs.keySet().iterator().next());
    // associate output tags with ids, output manager uses these Integer ids to serialize state
    BiMap<String, Integer> outputIndexMap = createOutputMap(outputs.keySet());
    Map<String, Coder<WindowedValue<?>>> outputCoders = Maps.newHashMap();
    Map<TupleTag<?>, Integer> tagsToIds = Maps.newHashMap();
    Map<String, TupleTag<?>> collectionIdToTupleTag = Maps.newHashMap();
    // order output names for deterministic mapping
    for (String localOutputName : new TreeMap<>(outputIndexMap).keySet()) {
        String collectionId = outputs.get(localOutputName);
        Coder<WindowedValue<?>> windowCoder = (Coder) instantiateCoder(collectionId, components);
        outputCoders.put(localOutputName, windowCoder);
        TupleTag<?> tupleTag = new TupleTag<>(localOutputName);
        CoderTypeInformation<WindowedValue<?>> typeInformation = new CoderTypeInformation(windowCoder, context.getPipelineOptions());
        tagsToOutputTags.put(tupleTag, new OutputTag<>(localOutputName, typeInformation));
        tagsToCoders.put(tupleTag, windowCoder);
        tagsToIds.put(tupleTag, outputIndexMap.get(localOutputName));
        collectionIdToTupleTag.put(collectionId, tupleTag);
    }
    final SingleOutputStreamOperator<WindowedValue<OutputT>> outputStream;
    DataStream<WindowedValue<InputT>> inputDataStream = context.getDataStreamOrThrow(inputPCollectionId);
    CoderTypeInformation<WindowedValue<OutputT>> outputTypeInformation = !outputs.isEmpty() ? new CoderTypeInformation(outputCoders.get(mainOutputTag.getId()), context.getPipelineOptions()) : null;
    ArrayList<TupleTag<?>> additionalOutputTags = Lists.newArrayList();
    for (TupleTag<?> tupleTag : tagsToCoders.keySet()) {
        if (!mainOutputTag.getId().equals(tupleTag.getId())) {
            additionalOutputTags.add(tupleTag);
        }
    }
    final Coder<WindowedValue<InputT>> windowedInputCoder = instantiateCoder(inputPCollectionId, components);
    final boolean stateful = stagePayload.getUserStatesCount() > 0 || stagePayload.getTimersCount() > 0;
    final boolean hasSdfProcessFn = stagePayload.getComponents().getTransformsMap().values().stream().anyMatch(pTransform -> pTransform.getSpec().getUrn().equals(PTransformTranslation.SPLITTABLE_PROCESS_SIZED_ELEMENTS_AND_RESTRICTIONS_URN));
    Coder keyCoder = null;
    KeySelector<WindowedValue<InputT>, ?> keySelector = null;
    if (stateful || hasSdfProcessFn) {
        // Stateful/SDF stages are only allowed of KV input.
        Coder valueCoder = ((WindowedValue.FullWindowedValueCoder) windowedInputCoder).getValueCoder();
        if (!(valueCoder instanceof KvCoder)) {
            throw new IllegalStateException(String.format(Locale.ENGLISH, "The element coder for stateful DoFn '%s' must be KvCoder but is: %s", inputPCollectionId, valueCoder.getClass().getSimpleName()));
        }
        if (stateful) {
            keyCoder = ((KvCoder) valueCoder).getKeyCoder();
            keySelector = new KvToByteBufferKeySelector(keyCoder, new SerializablePipelineOptions(context.getPipelineOptions()));
        } else {
            // as the key.
            if (!(((KvCoder) valueCoder).getKeyCoder() instanceof KvCoder)) {
                throw new IllegalStateException(String.format(Locale.ENGLISH, "The element coder for splittable DoFn '%s' must be KVCoder(KvCoder, DoubleCoder) but is: %s", inputPCollectionId, valueCoder.getClass().getSimpleName()));
            }
            keyCoder = ((KvCoder) ((KvCoder) valueCoder).getKeyCoder()).getKeyCoder();
            keySelector = new SdfByteBufferKeySelector(keyCoder, new SerializablePipelineOptions(context.getPipelineOptions()));
        }
        inputDataStream = inputDataStream.keyBy(keySelector);
    }
    DoFnOperator.MultiOutputOutputManagerFactory<OutputT> outputManagerFactory = new DoFnOperator.MultiOutputOutputManagerFactory<>(mainOutputTag, tagsToOutputTags, tagsToCoders, tagsToIds, new SerializablePipelineOptions(context.getPipelineOptions()));
    DoFnOperator<InputT, OutputT> doFnOperator = new ExecutableStageDoFnOperator<>(transform.getUniqueName(), windowedInputCoder, Collections.emptyMap(), mainOutputTag, additionalOutputTags, outputManagerFactory, transformedSideInputs.unionTagToView, new ArrayList<>(transformedSideInputs.unionTagToView.values()), getSideInputIdToPCollectionViewMap(stagePayload, components), context.getPipelineOptions(), stagePayload, context.getJobInfo(), FlinkExecutableStageContextFactory.getInstance(), collectionIdToTupleTag, getWindowingStrategy(inputPCollectionId, components), keyCoder, keySelector);
    final String operatorName = generateNameFromStagePayload(stagePayload);
    if (transformedSideInputs.unionTagToView.isEmpty()) {
        outputStream = inputDataStream.transform(operatorName, outputTypeInformation, doFnOperator);
    } else {
        DataStream<RawUnionValue> sideInputStream = transformedSideInputs.unionedSideInputs.broadcast();
        if (stateful || hasSdfProcessFn) {
            // We have to manually construct the two-input transform because we're not
            // allowed to have only one input keyed, normally. Since Flink 1.5.0 it's
            // possible to use the Broadcast State Pattern which provides a more elegant
            // way to process keyed main input with broadcast state, but it's not feasible
            // here because it breaks the DoFnOperator abstraction.
            TwoInputTransformation<WindowedValue<KV<?, InputT>>, RawUnionValue, WindowedValue<OutputT>> rawFlinkTransform = new TwoInputTransformation(inputDataStream.getTransformation(), sideInputStream.getTransformation(), transform.getUniqueName(), doFnOperator, outputTypeInformation, inputDataStream.getParallelism());
            rawFlinkTransform.setStateKeyType(((KeyedStream) inputDataStream).getKeyType());
            rawFlinkTransform.setStateKeySelectors(((KeyedStream) inputDataStream).getKeySelector(), null);
            outputStream = new SingleOutputStreamOperator(inputDataStream.getExecutionEnvironment(), // we have to cheat around the ctor being protected
            rawFlinkTransform) {
            };
        } else {
            outputStream = inputDataStream.connect(sideInputStream).transform(operatorName, outputTypeInformation, doFnOperator);
        }
    }
    // Assign a unique but consistent id to re-map operator state
    outputStream.uid(transform.getUniqueName());
    if (mainOutputTag != null) {
        context.addDataStream(outputs.get(mainOutputTag.getId()), outputStream);
    }
    for (TupleTag<?> tupleTag : additionalOutputTags) {
        context.addDataStream(outputs.get(tupleTag.getId()), outputStream.getSideOutput(tagsToOutputTags.get(tupleTag)));
    }
}

Example 19 with OutputTag

use of org.apache.flink.util.OutputTag in project beam by apache.

the class DoFnOperatorTest method testWatermarkUpdateAfterWatermarkHoldRelease.

@Test
public void testWatermarkUpdateAfterWatermarkHoldRelease() throws Exception {
    Coder<WindowedValue<KV<String, String>>> coder = WindowedValue.getValueOnlyCoder(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of()));
    TupleTag<KV<String, String>> outputTag = new TupleTag<>("main-output");
    List<Long> emittedWatermarkHolds = new ArrayList<>();
    KeySelector<WindowedValue<KV<String, String>>, ByteBuffer> keySelector = e -> FlinkKeyUtils.encodeKey(e.getValue().getKey(), StringUtf8Coder.of());
    DoFnOperator<KV<String, String>, KV<String, String>> doFnOperator = new DoFnOperator<KV<String, String>, KV<String, String>>(new IdentityDoFn<>(), "stepName", coder, Collections.emptyMap(), outputTag, Collections.emptyList(), new DoFnOperator.MultiOutputOutputManagerFactory<>(outputTag, coder, new SerializablePipelineOptions(FlinkPipelineOptions.defaults())), WindowingStrategy.globalDefault(), new HashMap<>(), /* side-input mapping */
    Collections.emptyList(), /* side inputs */
    FlinkPipelineOptions.defaults(), StringUtf8Coder.of(), keySelector, DoFnSchemaInformation.create(), Collections.emptyMap()) {

        @Override
        protected DoFnRunner<KV<String, String>, KV<String, String>> createWrappingDoFnRunner(DoFnRunner<KV<String, String>, KV<String, String>> wrappedRunner, StepContext stepContext) {
            StateNamespace namespace = StateNamespaces.window(GlobalWindow.Coder.INSTANCE, GlobalWindow.INSTANCE);
            StateTag<WatermarkHoldState> holdTag = StateTags.watermarkStateInternal("hold", TimestampCombiner.LATEST);
            WatermarkHoldState holdState = stepContext.stateInternals().state(namespace, holdTag);
            TimerInternals timerInternals = stepContext.timerInternals();
            return new DoFnRunner<KV<String, String>, KV<String, String>>() {

                @Override
                public void startBundle() {
                    wrappedRunner.startBundle();
                }

                @Override
                public void processElement(WindowedValue<KV<String, String>> elem) {
                    wrappedRunner.processElement(elem);
                    holdState.add(elem.getTimestamp());
                    timerInternals.setTimer(namespace, "timer", "family", elem.getTimestamp().plus(Duration.millis(1)), elem.getTimestamp().plus(Duration.millis(1)), TimeDomain.EVENT_TIME);
                    timerInternals.setTimer(namespace, "cleanup", "", GlobalWindow.INSTANCE.maxTimestamp(), GlobalWindow.INSTANCE.maxTimestamp(), TimeDomain.EVENT_TIME);
                }

                @Override
                public <KeyT> void onTimer(String timerId, String timerFamilyId, KeyT key, BoundedWindow window, Instant timestamp, Instant outputTimestamp, TimeDomain timeDomain) {
                    if ("cleanup".equals(timerId)) {
                        holdState.clear();
                    } else {
                        holdState.add(outputTimestamp);
                    }
                }

                @Override
                public void finishBundle() {
                    wrappedRunner.finishBundle();
                }

                @Override
                public <KeyT> void onWindowExpiration(BoundedWindow window, Instant timestamp, KeyT key) {
                    wrappedRunner.onWindowExpiration(window, timestamp, key);
                }

                @Override
                public DoFn<KV<String, String>, KV<String, String>> getFn() {
                    return doFn;
                }
            };
        }

        @Override
        void emitWatermarkIfHoldChanged(long currentWatermarkHold) {
            emittedWatermarkHolds.add(keyedStateInternals.minWatermarkHoldMs());
        }
    };
    OneInputStreamOperatorTestHarness<WindowedValue<KV<String, String>>, WindowedValue<KV<String, String>>> testHarness = new KeyedOneInputStreamOperatorTestHarness<>(doFnOperator, keySelector, new CoderTypeInformation<>(FlinkKeyUtils.ByteBufferCoder.of(), FlinkPipelineOptions.defaults()));
    testHarness.setup();
    Instant now = Instant.now();
    testHarness.open();
    // process first element, set hold to `now', setup timer for `now + 1'
    testHarness.processElement(new StreamRecord<>(WindowedValue.timestampedValueInGlobalWindow(KV.of("Key", "Hello"), now)));
    assertThat(emittedWatermarkHolds, is(equalTo(Collections.singletonList(now.getMillis()))));
    // fire timer, change hold to `now + 2'
    testHarness.processWatermark(now.getMillis() + 2);
    assertThat(emittedWatermarkHolds, is(equalTo(Arrays.asList(now.getMillis(), now.getMillis() + 1))));
    // process second element, verify we emitted changed hold
    testHarness.processElement(new StreamRecord<>(WindowedValue.timestampedValueInGlobalWindow(KV.of("Key", "Hello"), now.plus(Duration.millis(2)))));
    assertThat(emittedWatermarkHolds, is(equalTo(Arrays.asList(now.getMillis(), now.getMillis() + 1, now.getMillis() + 2))));
    testHarness.processWatermark(GlobalWindow.INSTANCE.maxTimestamp().plus(Duration.millis(1)).getMillis());
    testHarness.processWatermark(BoundedWindow.TIMESTAMP_MAX_VALUE.getMillis());
    testHarness.close();
}

Example 20 with OutputTag

use of org.apache.flink.util.OutputTag in project beam by apache.

the class DoFnOperatorTest method testTimersRestore.

@Test
public void testTimersRestore() throws Exception {
    final Instant timerTimestamp = new Instant(1000);
    final String outputMessage = "Timer fired";
    WindowingStrategy<Object, IntervalWindow> windowingStrategy = WindowingStrategy.of(FixedWindows.of(Duration.millis(10_000)));
    DoFn<Integer, String> fn = new DoFn<Integer, String>() {

        private static final String EVENT_TIMER_ID = "eventTimer";

        @TimerId(EVENT_TIMER_ID)
        private final TimerSpec eventTimer = TimerSpecs.timer(TimeDomain.EVENT_TIME);

        @ProcessElement
        public void processElement(ProcessContext context, @TimerId(EVENT_TIMER_ID) Timer timer) {
            timer.set(timerTimestamp);
        }

        @OnTimer(EVENT_TIMER_ID)
        public void onEventTime(OnTimerContext context) {
            assertEquals("Timer timestamp must match set timestamp.", timerTimestamp, context.timestamp());
            context.outputWithTimestamp(outputMessage, context.timestamp());
        }
    };
    VarIntCoder keyCoder = VarIntCoder.of();
    WindowedValue.FullWindowedValueCoder<Integer> inputCoder = WindowedValue.getFullCoder(keyCoder, windowingStrategy.getWindowFn().windowCoder());
    WindowedValue.FullWindowedValueCoder<String> outputCoder = WindowedValue.getFullCoder(StringUtf8Coder.of(), windowingStrategy.getWindowFn().windowCoder());
    TupleTag<String> outputTag = new TupleTag<>("main-output");
    final CoderTypeSerializer<WindowedValue<String>> outputSerializer = new CoderTypeSerializer<>(outputCoder, new SerializablePipelineOptions(FlinkPipelineOptions.defaults()));
    CoderTypeInformation<ByteBuffer> keyCoderInfo = new CoderTypeInformation<>(FlinkKeyUtils.ByteBufferCoder.of(), FlinkPipelineOptions.defaults());
    KeySelector<WindowedValue<Integer>, ByteBuffer> keySelector = e -> FlinkKeyUtils.encodeKey(e.getValue(), keyCoder);
    OneInputStreamOperatorTestHarness<WindowedValue<Integer>, WindowedValue<String>> testHarness = createTestHarness(windowingStrategy, fn, inputCoder, outputCoder, keyCoder, outputTag, keyCoderInfo, keySelector);
    testHarness.setup(outputSerializer);
    testHarness.open();
    testHarness.processWatermark(0);
    IntervalWindow window1 = new IntervalWindow(new Instant(0), Duration.millis(10_000));
    // this should register a timer
    testHarness.processElement(new StreamRecord<>(WindowedValue.of(13, new Instant(0), window1, PaneInfo.NO_FIRING)));
    assertThat(stripStreamRecordFromWindowedValue(testHarness.getOutput()), emptyIterable());
    // snapshot and restore
    final OperatorSubtaskState snapshot = testHarness.snapshot(0, 0);
    testHarness.close();
    testHarness = createTestHarness(windowingStrategy, fn, inputCoder, outputCoder, VarIntCoder.of(), outputTag, keyCoderInfo, keySelector);
    testHarness.setup(outputSerializer);
    testHarness.initializeState(snapshot);
    testHarness.open();
    // this must fire the timer
    testHarness.processWatermark(timerTimestamp.getMillis() + 1);
    assertThat(stripStreamRecordFromWindowedValue(testHarness.getOutput()), contains(WindowedValue.of(outputMessage, timerTimestamp, window1, PaneInfo.NO_FIRING)));
    testHarness.close();
}