Examples with WatermarkGauge org.apache.flink.streaming.runtime.metrics.WatermarkGauge used on opensource projects

Example 1 with WatermarkGauge

use of org.apache.flink.streaming.runtime.metrics.WatermarkGauge in project flink by apache.

the class StreamMultipleInputProcessorFactory method create.

@SuppressWarnings({ "unchecked", "rawtypes" })
public static StreamMultipleInputProcessor create(TaskInvokable ownerTask, CheckpointedInputGate[] checkpointedInputGates, StreamConfig.InputConfig[] configuredInputs, IOManager ioManager, MemoryManager memoryManager, TaskIOMetricGroup ioMetricGroup, Counter mainOperatorRecordsIn, MultipleInputStreamOperator<?> mainOperator, WatermarkGauge[] inputWatermarkGauges, StreamConfig streamConfig, Configuration taskManagerConfig, Configuration jobConfig, ExecutionConfig executionConfig, ClassLoader userClassloader, OperatorChain<?, ?> operatorChain, InflightDataRescalingDescriptor inflightDataRescalingDescriptor, Function<Integer, StreamPartitioner<?>> gatePartitioners, TaskInfo taskInfo) {
    checkNotNull(operatorChain);
    List<Input> operatorInputs = mainOperator.getInputs();
    int inputsCount = operatorInputs.size();
    StreamOneInputProcessor<?>[] inputProcessors = new StreamOneInputProcessor[inputsCount];
    Counter networkRecordsIn = new SimpleCounter();
    ioMetricGroup.reuseRecordsInputCounter(networkRecordsIn);
    checkState(configuredInputs.length == inputsCount, "Number of configured inputs in StreamConfig [%s] doesn't match the main operator's number of inputs [%s]", configuredInputs.length, inputsCount);
    StreamTaskInput[] inputs = new StreamTaskInput[inputsCount];
    for (int i = 0; i < inputsCount; i++) {
        StreamConfig.InputConfig configuredInput = configuredInputs[i];
        if (configuredInput instanceof StreamConfig.NetworkInputConfig) {
            StreamConfig.NetworkInputConfig networkInput = (StreamConfig.NetworkInputConfig) configuredInput;
            inputs[i] = StreamTaskNetworkInputFactory.create(checkpointedInputGates[networkInput.getInputGateIndex()], networkInput.getTypeSerializer(), ioManager, new StatusWatermarkValve(checkpointedInputGates[networkInput.getInputGateIndex()].getNumberOfInputChannels()), i, inflightDataRescalingDescriptor, gatePartitioners, taskInfo);
        } else if (configuredInput instanceof StreamConfig.SourceInputConfig) {
            StreamConfig.SourceInputConfig sourceInput = (StreamConfig.SourceInputConfig) configuredInput;
            inputs[i] = operatorChain.getSourceTaskInput(sourceInput);
        } else {
            throw new UnsupportedOperationException("Unknown input type: " + configuredInput);
        }
    }
    InputSelectable inputSelectable = mainOperator instanceof InputSelectable ? (InputSelectable) mainOperator : null;
    StreamConfig.InputConfig[] inputConfigs = streamConfig.getInputs(userClassloader);
    boolean anyRequiresSorting = Arrays.stream(inputConfigs).anyMatch(StreamConfig::requiresSorting);
    if (anyRequiresSorting) {
        if (inputSelectable != null) {
            throw new IllegalStateException("The InputSelectable interface is not supported with sorting inputs");
        }
        StreamTaskInput[] sortingInputs = IntStream.range(0, inputsCount).filter(idx -> requiresSorting(inputConfigs[idx])).mapToObj(idx -> inputs[idx]).toArray(StreamTaskInput[]::new);
        KeySelector[] sortingInputKeySelectors = IntStream.range(0, inputsCount).filter(idx -> requiresSorting(inputConfigs[idx])).mapToObj(idx -> streamConfig.getStatePartitioner(idx, userClassloader)).toArray(KeySelector[]::new);
        TypeSerializer[] sortingInputKeySerializers = IntStream.range(0, inputsCount).filter(idx -> requiresSorting(inputConfigs[idx])).mapToObj(idx -> streamConfig.getTypeSerializerIn(idx, userClassloader)).toArray(TypeSerializer[]::new);
        StreamTaskInput[] passThroughInputs = IntStream.range(0, inputsCount).filter(idx -> !requiresSorting(inputConfigs[idx])).mapToObj(idx -> inputs[idx]).toArray(StreamTaskInput[]::new);
        SelectableSortingInputs selectableSortingInputs = MultiInputSortingDataInput.wrapInputs(ownerTask, sortingInputs, sortingInputKeySelectors, sortingInputKeySerializers, streamConfig.getStateKeySerializer(userClassloader), passThroughInputs, memoryManager, ioManager, executionConfig.isObjectReuseEnabled(), streamConfig.getManagedMemoryFractionOperatorUseCaseOfSlot(ManagedMemoryUseCase.OPERATOR, taskManagerConfig, userClassloader), jobConfig, executionConfig);
        StreamTaskInput<?>[] sortedInputs = selectableSortingInputs.getSortedInputs();
        StreamTaskInput<?>[] passedThroughInputs = selectableSortingInputs.getPassThroughInputs();
        int sortedIndex = 0;
        int passThroughIndex = 0;
        for (int i = 0; i < inputs.length; i++) {
            if (requiresSorting(inputConfigs[i])) {
                inputs[i] = sortedInputs[sortedIndex];
                sortedIndex++;
            } else {
                inputs[i] = passedThroughInputs[passThroughIndex];
                passThroughIndex++;
            }
        }
        inputSelectable = selectableSortingInputs.getInputSelectable();
    }
    for (int i = 0; i < inputsCount; i++) {
        StreamConfig.InputConfig configuredInput = configuredInputs[i];
        if (configuredInput instanceof StreamConfig.NetworkInputConfig) {
            StreamTaskNetworkOutput dataOutput = new StreamTaskNetworkOutput<>(operatorChain.getFinishedOnRestoreInputOrDefault(operatorInputs.get(i)), inputWatermarkGauges[i], mainOperatorRecordsIn, networkRecordsIn);
            inputProcessors[i] = new StreamOneInputProcessor(inputs[i], dataOutput, operatorChain);
        } else if (configuredInput instanceof StreamConfig.SourceInputConfig) {
            StreamConfig.SourceInputConfig sourceInput = (StreamConfig.SourceInputConfig) configuredInput;
            OperatorChain.ChainedSource chainedSource = operatorChain.getChainedSource(sourceInput);
            inputProcessors[i] = new StreamOneInputProcessor(inputs[i], new StreamTaskSourceOutput(chainedSource.getSourceOutput(), inputWatermarkGauges[i], chainedSource.getSourceTaskInput().getOperator().getSourceMetricGroup()), operatorChain);
        } else {
            throw new UnsupportedOperationException("Unknown input type: " + configuredInput);
        }
    }
    return new StreamMultipleInputProcessor(new MultipleInputSelectionHandler(inputSelectable, inputsCount), inputProcessors);
}

Example 2 with WatermarkGauge

use of org.apache.flink.streaming.runtime.metrics.WatermarkGauge in project flink by apache.

the class MultipleInputStreamTask method init.

@SuppressWarnings("rawtypes")
@Override
public void init() throws Exception {
    StreamConfig configuration = getConfiguration();
    ClassLoader userClassLoader = getUserCodeClassLoader();
    InputConfig[] inputs = configuration.getInputs(userClassLoader);
    WatermarkGauge[] watermarkGauges = new WatermarkGauge[inputs.length];
    for (int i = 0; i < inputs.length; i++) {
        watermarkGauges[i] = new WatermarkGauge();
        mainOperator.getMetricGroup().gauge(MetricNames.currentInputWatermarkName(i + 1), watermarkGauges[i]);
    }
    MinWatermarkGauge minInputWatermarkGauge = new MinWatermarkGauge(watermarkGauges);
    mainOperator.getMetricGroup().gauge(MetricNames.IO_CURRENT_INPUT_WATERMARK, minInputWatermarkGauge);
    List<StreamEdge> inEdges = configuration.getInPhysicalEdges(userClassLoader);
    // Those two number may differ for example when one of the inputs is a union. In that case
    // the number of logical network inputs is smaller compared to the number of inputs (input
    // gates)
    int numberOfNetworkInputs = configuration.getNumberOfNetworkInputs();
    ArrayList[] inputLists = new ArrayList[inputs.length];
    for (int i = 0; i < inputLists.length; i++) {
        inputLists[i] = new ArrayList<>();
    }
    for (int i = 0; i < numberOfNetworkInputs; i++) {
        int inputType = inEdges.get(i).getTypeNumber();
        IndexedInputGate reader = getEnvironment().getInputGate(i);
        inputLists[inputType - 1].add(reader);
    }
    ArrayList<ArrayList<?>> networkInputLists = new ArrayList<>();
    for (ArrayList<?> inputList : inputLists) {
        if (!inputList.isEmpty()) {
            networkInputLists.add(inputList);
        }
    }
    createInputProcessor(networkInputLists.toArray(new ArrayList[0]), inputs, watermarkGauges, (index) -> inEdges.get(index).getPartitioner());
    // wrap watermark gauge since registered metrics must be unique
    getEnvironment().getMetricGroup().gauge(MetricNames.IO_CURRENT_INPUT_WATERMARK, minInputWatermarkGauge::getValue);
}