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

Examples of eu.stratosphere.api.java.record.operators.MapOperator$Builder

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    // construct the plan
    FileDataSource source = new FileDataSource(new DummyInputFormat(), IN_FILE, "Source");
    source.setDegreeOfParallelism(degOfPar);
   
    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);
   
 
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    // construct the plan
    FileDataSource source = new FileDataSource(new DummyInputFormat(), IN_FILE, "Source");
    source.setDegreeOfParallelism(degOfPar);
   
    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);
   
 
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    // construct the plan
    FileDataSource source = new FileDataSource(new DummyInputFormat(), IN_FILE, "Source");
    source.setDegreeOfParallelism(degOfPar);
   
    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);
   
 
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    // input is {word, count} pair
    FileDataSource source = new FileDataSource(new TextInputFormat(), dataInput, "Input Lines");

    //do a selection using cached file
    MapOperator mapper = MapOperator.builder(new TokenizeLine())
      .input(source)
      .name("Tokenize Lines")
      .build();

    FileDataSink out = new FileDataSink(new CsvOutputFormat(), output, mapper, "Selection");
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    // construct the plan
    FileDataSource source = new FileDataSource(new DummyInputFormat(), IN_FILE, "Source");
    source.setDegreeOfParallelism(degOfPar * 2);
   
    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);
   
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    // create DataSourceContract for cluster center input
    @SuppressWarnings("unchecked")
    FileDataSource clustersSource = new FileDataSource(new CsvInputFormat('|', IntValue.class, DoubleValue.class, DoubleValue.class, DoubleValue.class), clusterInput, "Centers");
   
    MapOperator dataPoints = MapOperator.builder(new PointBuilder()).name("Build data points").input(pointsSource).build();
   
    MapOperator clusterPoints = MapOperator.builder(new PointBuilder()).name("Build cluster points").input(clustersSource).build();

    // the mapper computes the distance to all points, which it draws from a broadcast variable
    MapOperator findNearestClusterCenters = MapOperator.builder(new SelectNearestCenter())
      .setBroadcastVariable("centers", clusterPoints)
      .input(dataPoints)
      .name("Find Nearest Centers")
      .build();
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     */
    public Plan getPlan(String inputPath, String outputPath, int numSubtasks) {

      FileDataSource source = new FileDataSource(TextInputFormat.class, inputPath, "First Input");

      MapOperator wordsFirstInput = MapOperator.builder(TokenizeLine.class)
        .input(source)
        .name("Words (First Input)")
        .build();

      MapOperator wordsSecondInput = MapOperator.builder(TokenizeLine.class)
        .input(source)
        .name("Words (Second Input)")
        .build();

      @SuppressWarnings("unchecked")
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      .fieldDelimiter('|')
      .field(LongValue.class, 0)    // order id
      .field(DoubleValue.class, 5);  // extended price

    // create MapOperator for filtering Orders tuples
    MapOperator filterO = MapOperator.builder(new FilterO())
      .input(orders)
      .name("FilterO")
      .build();
    // filter configuration
    filterO.setParameter(YEAR_FILTER, 1993);
    filterO.setParameter(PRIO_FILTER, "5");
    // compiler hints
    filterO.getCompilerHints().setFilterFactor(0.05f);

    // create JoinOperator for joining Orders and LineItems
    JoinOperator joinLiO = JoinOperator.builder(new JoinLiO(), LongValue.class, 0, 0)
      .input1(filterO)
      .input2(lineitems)
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        .name("Compute sum (Reduce)")
        .build();
   
    iteration.setNextPartialSolution(sumReduce);
   
    MapOperator terminationMapper = MapOperator.builder(new TerminationMapper())
        .input(sumReduce)
        .name("Compute termination criterion (Map)")
        .build();
   
    iteration.setTerminationCriterion(terminationMapper);
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    CsvInputFormat visitsFormat = new CsvInputFormat('|', null, StringValue.class, StringValue.class);
    FileDataSource visits = new FileDataSource(visitsFormat, visitsInput, "Visits input:q");

    // Create MapOperator for filtering the entries from the documents
    // relation
    MapOperator filterDocs = MapOperator.builder(new FilterDocs())
      .input(docs)
      .name("Filter Docs")
      .build();
    filterDocs.getCompilerHints().setFilterFactor(0.15f);

    // Create MapOperator for filtering the entries from the ranks relation
    MapOperator filterRanks = MapOperator.builder(new FilterRanks())
      .input(ranks)
      .name("Filter Ranks")
      .build();
    filterRanks.getCompilerHints().setFilterFactor(0.25f);

    // Create MapOperator for filtering the entries from the visits relation
    MapOperator filterVisits = MapOperator.builder(new FilterVisits())
      .input(visits)
      .name("Filter Visits")
      .build();
    filterVisits.getCompilerHints().setFilterFactor(0.2f);

    // Create JoinOperator to join the filtered documents and ranks
    // relation
    JoinOperator joinDocsRanks = JoinOperator.builder(new JoinDocRanks(), StringValue.class, 0, 0)
      .input1(filterDocs)
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