Package org.apache.flink.runtime.jobgraph

Examples of org.apache.flink.runtime.jobgraph.OutputFormatVertex

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    tailConfig.setStubParameter("compensation.failingIteration", String.valueOf(failingIteration));
    tailConfig.setStubParameter("compensation.messageLoss", String.valueOf(messageLoss));
   
    // --------------- the output ---------------------

    OutputFormatVertex output = JobGraphUtils.createFileOutput(jobGraph, "FinalOutput", degreeOfParallelism);
    TaskConfig outputConfig = new TaskConfig(output.getConfiguration());
    outputConfig.addInputToGroup(0);
    outputConfig.setInputSerializer(vertexWithRankAndDanglingSerializer, 0);
    outputConfig.setStubWrapper(new UserCodeClassWrapper<CustomPageWithRankOutFormat>(CustomPageWithRankOutFormat.class));
    outputConfig.setStubParameter(FileOutputFormat.FILE_PARAMETER_KEY, outputPath);
   
    // --------------- the auxiliaries ---------------------

    AbstractJobVertex sync = JobGraphUtils.createSync(jobGraph, degreeOfParallelism);
    TaskConfig syncConfig = new TaskConfig(sync.getConfiguration());
    syncConfig.setNumberOfIterations(numIterations);
    syncConfig.addIterationAggregator(CustomCompensatableDotProductCoGroup.AGGREGATOR_NAME, new PageRankStatsAggregator());
    syncConfig.setConvergenceCriterion(CustomCompensatableDotProductCoGroup.AGGREGATOR_NAME, new DiffL1NormConvergenceCriterion());
    syncConfig.setIterationId(ITERATION_ID);
   
    // --------------- the wiring ---------------------

    JobGraphUtils.connect(pageWithRankInput, head, ChannelType.NETWORK, DistributionPattern.BIPARTITE);

    JobGraphUtils.connect(head, intermediate, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);
    intermediateConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);
   
    JobGraphUtils.connect(adjacencyListInput, intermediate, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
   
    JobGraphUtils.connect(head, tail, ChannelType.NETWORK, DistributionPattern.POINTWISE);
    JobGraphUtils.connect(intermediate, tail, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);
    tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(1, degreeOfParallelism);

    JobGraphUtils.connect(head, output, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);

    JobGraphUtils.connect(head, sync, ChannelType.NETWORK, DistributionPattern.POINTWISE);
   
    SlotSharingGroup sharingGroup = new SlotSharingGroup();
    pageWithRankInput.setSlotSharingGroup(sharingGroup);
    adjacencyListInput.setSlotSharingGroup(sharingGroup);
    head.setSlotSharingGroup(sharingGroup);
    intermediate.setSlotSharingGroup(sharingGroup);
    tail.setSlotSharingGroup(sharingGroup);
    output.setSlotSharingGroup(sharingGroup);
    sync.setSlotSharingGroup(sharingGroup);
   
    tail.setStrictlyCoLocatedWith(head);
    intermediate.setStrictlyCoLocatedWith(head);
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    tailConfig.setStubParameter("compensation.failingIteration", String.valueOf(failingIteration));
    tailConfig.setStubParameter("compensation.messageLoss", String.valueOf(messageLoss));
   
    // --------------- the output ---------------------

    OutputFormatVertex output = JobGraphUtils.createFileOutput(jobGraph, "FinalOutput", degreeOfParallelism);
    TaskConfig outputConfig = new TaskConfig(output.getConfiguration());
    outputConfig.addInputToGroup(0);
    outputConfig.setInputSerializer(recSerializer, 0);
    outputConfig.setStubWrapper(new UserCodeClassWrapper<PageWithRankOutFormat>(PageWithRankOutFormat.class));
    outputConfig.setStubParameter(FileOutputFormat.FILE_PARAMETER_KEY, outputPath);
   
    // --------------- the auxiliaries ---------------------

    AbstractJobVertex sync = JobGraphUtils.createSync(jobGraph, degreeOfParallelism);
    TaskConfig syncConfig = new TaskConfig(sync.getConfiguration());
    syncConfig.setNumberOfIterations(numIterations);
    syncConfig.addIterationAggregator(CompensatableDotProductCoGroup.AGGREGATOR_NAME, new PageRankStatsAggregator());
    syncConfig.setConvergenceCriterion(CompensatableDotProductCoGroup.AGGREGATOR_NAME, new DiffL1NormConvergenceCriterion());
    syncConfig.setIterationId(ITERATION_ID);
   
    // --------------- the wiring ---------------------

    JobGraphUtils.connect(pageWithRankInput, head, ChannelType.NETWORK, DistributionPattern.BIPARTITE);

    JobGraphUtils.connect(head, intermediate, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);
    intermediateConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);
   
    JobGraphUtils.connect(adjacencyListInput, intermediate, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
   
    JobGraphUtils.connect(head, tail, ChannelType.NETWORK, DistributionPattern.POINTWISE);
    JobGraphUtils.connect(intermediate, tail, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);
    tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(1, degreeOfParallelism);

    JobGraphUtils.connect(head, output, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);

    JobGraphUtils.connect(head, sync, ChannelType.NETWORK, DistributionPattern.POINTWISE);
   
    SlotSharingGroup sharingGroup = new SlotSharingGroup();
    pageWithRankInput.setSlotSharingGroup(sharingGroup);
    adjacencyListInput.setSlotSharingGroup(sharingGroup);
    head.setSlotSharingGroup(sharingGroup);
    intermediate.setSlotSharingGroup(sharingGroup);
    tail.setSlotSharingGroup(sharingGroup);
    output.setSlotSharingGroup(sharingGroup);
    sync.setSlotSharingGroup(sharingGroup);
   
    tail.setStrictlyCoLocatedWith(head);
    intermediate.setStrictlyCoLocatedWith(head);
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    tailConfig.setStubParameter("compensation.failingIteration", String.valueOf(failingIteration));
    tailConfig.setStubParameter("compensation.messageLoss", String.valueOf(messageLoss));
   
    // --------------- the output ---------------------

    OutputFormatVertex output = JobGraphUtils.createFileOutput(jobGraph, "FinalOutput", degreeOfParallelism);
    TaskConfig outputConfig = new TaskConfig(output.getConfiguration());
    outputConfig.addInputToGroup(0);
    outputConfig.setInputSerializer(vertexWithRankAndDanglingSerializer, 0);
    outputConfig.setStubWrapper(new UserCodeClassWrapper<CustomPageWithRankOutFormat>(CustomPageWithRankOutFormat.class));
    outputConfig.setStubParameter(FileOutputFormat.FILE_PARAMETER_KEY, outputPath);
   
    // --------------- the auxiliaries ---------------------

    AbstractJobVertex sync = JobGraphUtils.createSync(jobGraph, degreeOfParallelism);
    TaskConfig syncConfig = new TaskConfig(sync.getConfiguration());
    syncConfig.setNumberOfIterations(numIterations);
    syncConfig.addIterationAggregator(CustomCompensatableDotProductCoGroup.AGGREGATOR_NAME, new PageRankStatsAggregator());
    syncConfig.setConvergenceCriterion(CustomCompensatableDotProductCoGroup.AGGREGATOR_NAME, new DiffL1NormConvergenceCriterion());
    syncConfig.setIterationId(ITERATION_ID);
   
    // --------------- the wiring ---------------------

    JobGraphUtils.connect(pageWithRankInput, head, ChannelType.NETWORK, DistributionPattern.BIPARTITE);

    JobGraphUtils.connect(head, intermediate, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);
    intermediateConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);
   
    JobGraphUtils.connect(adjacencyListInput, intermediate, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
   
    JobGraphUtils.connect(head, tail, ChannelType.NETWORK, DistributionPattern.POINTWISE);
    JobGraphUtils.connect(intermediate, tail, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);
    tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(1, degreeOfParallelism);

    JobGraphUtils.connect(head, output, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);

    JobGraphUtils.connect(head, sync, ChannelType.NETWORK, DistributionPattern.POINTWISE);
   
    SlotSharingGroup sharingGroup = new SlotSharingGroup();
    pageWithRankInput.setSlotSharingGroup(sharingGroup);
    adjacencyListInput.setSlotSharingGroup(sharingGroup);
    head.setSlotSharingGroup(sharingGroup);
    intermediate.setSlotSharingGroup(sharingGroup);
    tail.setSlotSharingGroup(sharingGroup);
    output.setSlotSharingGroup(sharingGroup);
    sync.setSlotSharingGroup(sharingGroup);

    tail.setStrictlyCoLocatedWith(head);
    intermediate.setStrictlyCoLocatedWith(head);
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    return pointsInput;
  }

  private static OutputFormatVertex createOutput(JobGraph jobGraph, String resultPath, int numSubTasks, TypeSerializerFactory<?> serializer) {
    OutputFormatVertex output = JobGraphUtils.createFileOutput(jobGraph, "Output", numSubTasks);

    {
      TaskConfig taskConfig = new TaskConfig(output.getConfiguration());
      taskConfig.addInputToGroup(0);
      taskConfig.setInputSerializer(serializer, 0);

      @SuppressWarnings("unchecked")
      CsvOutputFormat outFormat = new CsvOutputFormat("\n", " ", LongValue.class, LongValue.class, LongValue.class);
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    // -- vertices ---------------------------------------------------------------------------------------------
    InputFormatVertex points = createPointsInput(jobGraph, pointsPath, numSubTasks, serializer);
    InputFormatVertex models = createModelsInput(jobGraph, centersPath, numSubTasks, serializer);
    AbstractJobVertex mapper = createMapper(jobGraph, numSubTasks, serializer);
    OutputFormatVertex output = createOutput(jobGraph, resultPath, numSubTasks, serializer);

    // -- edges ------------------------------------------------------------------------------------------------
    JobGraphUtils.connect(points, mapper, ChannelType.NETWORK, DistributionPattern.POINTWISE);
    JobGraphUtils.connect(models, mapper, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    JobGraphUtils.connect(mapper, output, ChannelType.NETWORK, DistributionPattern.POINTWISE);

    // -- instance sharing -------------------------------------------------------------------------------------
   
    SlotSharingGroup sharing = new SlotSharingGroup();
   
    points.setSlotSharingGroup(sharing);
    models.setSlotSharingGroup(sharing);
    mapper.setSlotSharingGroup(sharing);
    output.setSlotSharingGroup(sharing);

    return jobGraph;
  }
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    return modelsInput;
  }

  private static OutputFormatVertex createOutput(JobGraph jobGraph, String resultPath, int numSubTasks, TypeSerializerFactory<?> serializer) {
   
    OutputFormatVertex output = JobGraphUtils.createFileOutput(jobGraph, "Output", numSubTasks);

    {
      TaskConfig taskConfig = new TaskConfig(output.getConfiguration());
      taskConfig.addInputToGroup(0);
      taskConfig.setInputSerializer(serializer, 0);

      PointOutFormat outFormat = new PointOutFormat();
      outFormat.setOutputFilePath(new Path(resultPath));
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    AbstractJobVertex reducer = createReducer(jobGraph, numSubTasks, serializer, int0Comparator, serializer);
   
    AbstractJobVertex sync = createSync(jobGraph, numIterations, numSubTasks);
   
    OutputFormatVertex output = createOutput(jobGraph, resultPath, numSubTasks, serializer);

    // -- edges ------------------------------------------------------------------------------------------------
    JobGraphUtils.connect(points, mapper, ChannelType.NETWORK, DistributionPattern.POINTWISE);
   
    JobGraphUtils.connect(centers, head, ChannelType.NETWORK, DistributionPattern.POINTWISE);
   
    JobGraphUtils.connect(head, mapper, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    new TaskConfig(mapper.getConfiguration()).setBroadcastGateIterativeWithNumberOfEventsUntilInterrupt(0, numSubTasks);
    new TaskConfig(mapper.getConfiguration()).setInputCached(0, true);
    new TaskConfig(mapper.getConfiguration()).setRelativeInputMaterializationMemory(0,
        MEMORY_FRACTION_PER_CONSUMER);

    JobGraphUtils.connect(mapper, reducer, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    new TaskConfig(reducer.getConfiguration()).setGateIterativeWithNumberOfEventsUntilInterrupt(0, numSubTasks);
   
    JobGraphUtils.connect(head, output, ChannelType.NETWORK, DistributionPattern.POINTWISE);
   
    JobGraphUtils.connect(head, sync, ChannelType.NETWORK, DistributionPattern.BIPARTITE);

    // -- instance sharing -------------------------------------------------------------------------------------
   
    SlotSharingGroup sharingGroup = new SlotSharingGroup();
   
    points.setSlotSharingGroup(sharingGroup);
    centers.setSlotSharingGroup(sharingGroup);
    head.setSlotSharingGroup(sharingGroup);
    mapper.setSlotSharingGroup(sharingGroup);
    reducer.setSlotSharingGroup(sharingGroup);
    sync.setSlotSharingGroup(sharingGroup);
    output.setSlotSharingGroup(sharingGroup);
   
    mapper.setStrictlyCoLocatedWith(head);
    reducer.setStrictlyCoLocatedWith(head);

    return jobGraph;
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    config.setOutputSerializer(node.getSerializer());
    return vertex;
  }

  private AbstractJobVertex createDataSinkVertex(SinkPlanNode node) throws CompilerException {
    final OutputFormatVertex vertex = new OutputFormatVertex(node.getNodeName());
    final TaskConfig config = new TaskConfig(vertex.getConfiguration());

    vertex.setInvokableClass(DataSinkTask.class);
    vertex.getConfiguration().setInteger(DataSinkTask.DEGREE_OF_PARALLELISM_KEY, node.getDegreeOfParallelism());

    // set user code
    config.setStubWrapper(node.getPactContract().getUserCodeWrapper());
    config.setStubParameters(node.getPactContract().getParameters());
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    return intermediate;
  }

  private static OutputFormatVertex createOutput(JobGraph jobGraph, String resultPath, int numSubTasks,
      TypeSerializerFactory<?> serializer) {
    OutputFormatVertex output = JobGraphUtils.createFileOutput(jobGraph, "Final Output", numSubTasks);
    TaskConfig outputConfig = new TaskConfig(output.getConfiguration());
    {

      outputConfig.addInputToGroup(0);
      outputConfig.setInputSerializer(serializer, 0);
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    AbstractJobVertex head = createIterationHead(jobGraph, numSubTasks, serializer, comparator, pairComparator);

    AbstractJobVertex intermediate = createIterationIntermediate(jobGraph, numSubTasks, serializer, comparator);
    TaskConfig intermediateConfig = new TaskConfig(intermediate.getConfiguration());

    OutputFormatVertex output = createOutput(jobGraph, resultPath, numSubTasks, serializer);
    AbstractJobVertex sync = createSync(jobGraph, numSubTasks, maxIterations);

    // --------------- the tail (solution set join) ---------------
    AbstractJobVertex tail = JobGraphUtils.createTask(IterationTailPactTask.class, "IterationTail", jobGraph, numSubTasks);
    TaskConfig tailConfig = new TaskConfig(tail.getConfiguration());
    {
      tailConfig.setIterationId(ITERATION_ID);

      tailConfig.setIsWorksetIteration();
      tailConfig.setIsWorksetUpdate();

      tailConfig.setIsSolutionSetUpdate();
      tailConfig.setIsSolutionSetUpdateWithoutReprobe();

      // inputs and driver
      tailConfig.addInputToGroup(0);
      tailConfig.setInputSerializer(serializer, 0);

      // output
      tailConfig.setOutputSerializer(serializer);

      // the driver
      tailConfig.setDriver(JoinWithSolutionSetSecondDriver.class);
      tailConfig.setDriverStrategy(DriverStrategy.HYBRIDHASH_BUILD_SECOND);
      tailConfig.setDriverComparator(comparator, 0);
      tailConfig.setDriverPairComparator(pairComparator);
     
      tailConfig.setStubWrapper(new UserCodeClassWrapper<UpdateComponentIdMatch>(UpdateComponentIdMatch.class));
    }

    // -- edges ------------------------------------------------------------------------------------------------
    JobGraphUtils.connect(vertices, head, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    JobGraphUtils.connect(edges, head, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    JobGraphUtils.connect(vertices, head, ChannelType.NETWORK, DistributionPattern.BIPARTITE);

    JobGraphUtils.connect(head, intermediate, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
    intermediateConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, numSubTasks);

    JobGraphUtils.connect(intermediate, tail, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);
    tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);

    JobGraphUtils.connect(head, output, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);

    JobGraphUtils.connect(head, sync, ChannelType.NETWORK, DistributionPattern.POINTWISE);

    SlotSharingGroup sharingGroup = new SlotSharingGroup();
    vertices.setSlotSharingGroup(sharingGroup);
    edges.setSlotSharingGroup(sharingGroup);
    head.setSlotSharingGroup(sharingGroup);
    intermediate.setSlotSharingGroup(sharingGroup);
    tail.setSlotSharingGroup(sharingGroup);
    output.setSlotSharingGroup(sharingGroup);
    sync.setSlotSharingGroup(sharingGroup);
   
    intermediate.setStrictlyCoLocatedWith(head);
    tail.setStrictlyCoLocatedWith(head);
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