Package eu.stratosphere.api.java.record.operators

Examples of eu.stratosphere.api.java.record.operators.ReduceOperator

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    MapOperator map1 = MapOperator.builder(new IdentityMap()).name("Map1").build();
    map1.setDegreeOfParallelism(degOfPar);
    map1.setInput(source);
   
    ReduceOperator reduce1 = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0).name("Reduce 1").build();
    reduce1.setDegreeOfParallelism(degOfPar);
    reduce1.setInput(map1);
   
    MapOperator map2 = MapOperator.builder(new IdentityMap()).name("Map2").build();
    map2.setDegreeOfParallelism(degOfPar * 2);
    map2.setInput(reduce1);
   
    ReduceOperator reduce2 = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0).name("Reduce 2").build();
    reduce2.setDegreeOfParallelism(degOfPar * 2);
    reduce2.setInput(map2);
   
    FileDataSink sink = new FileDataSink(new DummyOutputFormat(), OUT_FILE, "Sink");
    sink.setDegreeOfParallelism(degOfPar * 2);
    sink.setInput(reduce2);
   
 
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    MapOperator map1 = MapOperator.builder(new IdentityMap()).name("Map1").build();
    map1.setDegreeOfParallelism(degOfPar);
    map1.setInput(source);
   
    ReduceOperator reduce1 = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0).name("Reduce 1").build();
    reduce1.setDegreeOfParallelism(degOfPar);
    reduce1.setInput(map1);
   
    MapOperator map2 = MapOperator.builder(new IdentityMap()).name("Map2").build();
    map2.setDegreeOfParallelism(degOfPar);
    map2.setInput(reduce1);
   
    ReduceOperator reduce2 = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0).name("Reduce 2").build();
    reduce2.setDegreeOfParallelism(degOfPar * 2);
    reduce2.setInput(map2);
   
    FileDataSink sink = new FileDataSink(new DummyOutputFormat(), OUT_FILE, "Sink");
    sink.setDegreeOfParallelism(degOfPar * 2);
    sink.setInput(reduce2);
   
 
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    MapOperator map1 = MapOperator.builder(new IdentityMap()).name("Map1").build();
    map1.setDegreeOfParallelism(degOfPar);
    map1.setInput(source);
   
    ReduceOperator reduce1 = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0).name("Reduce 1").build();
    reduce1.setDegreeOfParallelism(degOfPar);
    reduce1.setInput(map1);
   
    MapOperator map2 = MapOperator.builder(new IdentityMap()).name("Map2").build();
    map2.setDegreeOfParallelism(degOfPar * 2);
    map2.setInput(reduce1);
   
    ReduceOperator reduce2 = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0).name("Reduce 2").build();
    reduce2.setDegreeOfParallelism(degOfPar * 2);
    reduce2.setInput(map2);
   
    FileDataSink sink = new FileDataSink(new DummyOutputFormat(), OUT_FILE, "Sink");
    sink.setDegreeOfParallelism(degOfPar * 2);
    sink.setInput(reduce2);
   
 
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    MapOperator map1 = MapOperator.builder(new IdentityMap()).name("Map1").build();
    map1.setDegreeOfParallelism(degOfPar * 2);
    map1.setInput(source);
   
    ReduceOperator reduce1 = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0).name("Reduce 1").build();
    reduce1.setDegreeOfParallelism(degOfPar * 2);
    reduce1.setInput(map1);
   
    MapOperator map2 = MapOperator.builder(new IdentityMap()).name("Map2").build();
    map2.setDegreeOfParallelism(degOfPar);
    map2.setInput(reduce1);
   
    ReduceOperator reduce2 = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0).name("Reduce 2").build();
    reduce2.setDegreeOfParallelism(degOfPar);
    reduce2.setInput(map2);
   
    FileDataSink sink = new FileDataSink(new DummyOutputFormat(), OUT_FILE, "Sink");
    sink.setDegreeOfParallelism(degOfPar);
    sink.setInput(reduce2);
   
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      .input(dataPoints)
      .name("Find Nearest Centers")
      .build();

    // create reducer recomputes the cluster centers as the  average of all associated data points
    ReduceOperator recomputeClusterCenter = ReduceOperator.builder(new RecomputeClusterCenter(), IntValue.class, 0)
      .input(findNearestClusterCenters)
      .name("Recompute Center Positions")
      .build();

    // create DataSinkContract for writing the new cluster positions
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    // construct the plan

    FileDataSource sourceA = new FileDataSource(new DummyInputFormat(), IN_FILE);
    FileDataSource sourceB = new FileDataSource(new DummyInputFormat(), IN_FILE);
   
    ReduceOperator redA = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0)
      .input(sourceA)
      .build();
    ReduceOperator redB = ReduceOperator.builder(new IdentityReduce(), IntValue.class, 0)
      .input(sourceB)
      .build();
   
    JoinOperator mat = JoinOperator.builder(new DummyMatchStub(), IntValue.class, 0, 0)
      .input1(redA)
      .input2(redB)
      .build();
   
    FileDataSink sink = new FileDataSink(new DummyOutputFormat(), OUT_FILE, mat);
   
    sourceA.setDegreeOfParallelism(5);
    sourceB.setDegreeOfParallelism(7);
    redA.setDegreeOfParallelism(5);
    redB.setDegreeOfParallelism(7);
   
    mat.setDegreeOfParallelism(5);
   
    sink.setDegreeOfParallelism(5);
   
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      MapOperator wordsSecondInput = MapOperator.builder(TokenizeLine.class)
        .input(source)
        .name("Words (Second Input)")
        .build();

      @SuppressWarnings("unchecked")
      ReduceOperator counts = ReduceOperator.builder(CountWords.class, StringValue.class, 0)
        .input(wordsFirstInput, wordsSecondInput)
        .name("Word Counts")
        .build();
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      .name("JoinLiO")
      .build();

    // create ReduceOperator for aggregating the result
    // the reducer has a composite key, consisting of the fields 0 and 1
    ReduceOperator aggLiO = ReduceOperator.builder(new AggLiO())
      .keyField(LongValue.class, 0)
      .keyField(StringValue.class, 1)
      .input(joinLiO)
      .name("AggLio")
      .build();
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    BulkIteration iteration = new BulkIteration("Loop");
    iteration.setInput(initialInput);
    iteration.setMaximumNumberOfIterations(5);
    Assert.assertTrue(iteration.getMaximumNumberOfIterations() > 1);

    ReduceOperator sumReduce = ReduceOperator.builder(new SumReducer())
        .input(iteration.getPartialSolution())
        .name("Compute sum (Reduce)")
        .build();
   
    iteration.setNextPartialSolution(sumReduce);
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        .input1(iteration.getPartialSolution())
        .input2(adjacencyListInput)
        .name("Join with Edges")
        .build();
   
    ReduceOperator rankAggregation = ReduceOperator.builder(new AggregatingReduce(), LongValue.class, 0)
        .input(join)
        .name("Rank Aggregation")
        .build();
   
    iteration.setNextPartialSolution(rankAggregation);
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Related Classes of eu.stratosphere.api.java.record.operators.ReduceOperator

  • eu.stratosphere.api.java.record.io.avro.example.ReflectiveAvroTypeExample
  • eu.stratosphere.hadoopcompatibility.example.WordCount
  • eu.stratosphere.hadoopcompatibility.example.WordCountWithHadoopOutputFormat
  • eu.stratosphere.pact.compiler.BranchingPlansCompilerTest
  • eu.stratosphere.pact.compiler.DOPChangeTest
  • eu.stratosphere.pact.compiler.GroupOrderTest
  • eu.stratosphere.pact.compiler.HardPlansCompilationTest
  • eu.stratosphere.pact.compiler.ReduceAllTest
  • eu.stratosphere.pact.compiler.UnionPropertyPropagationTest
  • eu.stratosphere.pact.compiler.WorksetIterationsRecordApiCompilerTest
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