Examples of TupleEntry

cascading.tuple.TupleEntry
Class TupleEntry allows a {@link Tuple} instance and its declaring {@link Fields} instance to be used as a single object.
Once a TupleEntry is created, its Fields cannot be changed, but the Tuple instance it holds can be replaced or modified. The managed Tuple should not have elements added or removed, as this will break the relationship with the associated Fields instance.
If type information is provided on the Fields instance, all setters on this class will use that information to coerce the given object to the expected type.
For example, if position is is of type {@code long}, then {@code entry.setString(0, "9" )} will coerce the "9" to along {@code 9}. Thus, {@code entry.getObject(0) == 9l}.
No coercion is performed with the {@link #getObject(Comparable)} and {@link #getObject(int)} methods.
To set a value without coercion, see the {@link #setRaw(Comparable,Object)} and {@link #setRaw(int,Object)}methods. @see Fields @see Tuple
org.drools.core.phreak.TupleEntry

Examples of cascading.tuple.TupleEntry

    super( 2, fieldDeclaration );
    }


  public void operate( FlowProcess flowProcess, FunctionCall functionCall )
    {
    TupleEntry argument = functionCall.getArguments();
    String doc_id = argument.getString( 0 );
    String token = scrubText( argument.getString( 1 ) );


    if( token.length() > 0 )
      {
      Tuple result = new Tuple();
      result.add( doc_id );

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Examples of cascading.tuple.TupleEntry

  public List<TupleEntry> getOutput(Flow flow) throws Exception {
    TupleEntryIterator output = flow.openSink();


    List<TupleEntry> result = new ArrayList<TupleEntry>();
    while (output.hasNext()) {
      TupleEntry e = output.next();
      // We have to make a copy of the TupleEntry here -- otherwise cascading
      // will overwrite its values somewhere deep in its innards.
      result.add(new TupleEntry(e));
    }
    return result;
  }

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Examples of cascading.tuple.TupleEntry

        public Add1() {
            super(new Fields("result"));
        }


        public void operate(FlowProcess fp, FunctionCall fc) {
            TupleEntry t = fc.getArguments();
            String res = new String(Utils.getBytes((BytesWritable) t.get(0))) + "1";
            fc.getOutputCollector().add(new Tuple(new BytesWritable(res.getBytes())));
        }

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Examples of cascading.tuple.TupleEntry

  }


  @Override
  public void sink(FlowProcess<JobConf> flowProcess, SinkCall<Void, OutputCollector> sinkCall)
      throws IOException {
    TupleEntry tupleEntry = sinkCall.getOutgoingEntry();


    byte[] key = (byte[]) tupleEntry.getObject(0);
    byte[] val = (byte[]) tupleEntry.getObject(1);


    sinkCall.getOutput().collect(new BytesWritable(key), new BytesWritable(val));
  }

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Examples of cascading.tuple.TupleEntry

    }


    @Override
    public void sink(FlowProcess<JobConf> process, SinkCall<Object[], OutputCollector> sinkCall)
        throws IOException {
      TupleEntry tuple = sinkCall.getOutgoingEntry();


      Object obj = tuple.getObject(0);
      String key;
      //a hack since byte[] isn't natively handled by hadoop
      if (getStructure() instanceof DefaultPailStructure) {
        key = getCategory(obj);
      } else {

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Examples of cascading.tuple.TupleEntry

    }


  @Override
  public void operate( FlowProcess flowProcess, FunctionCall<Context<DecisionContext>> functionCall )
    {
    TupleEntry arguments = functionCall.getArguments();


    String[] categories = functionCall.getContext().payload.categories;
    int[] results = functionCall.getContext().payload.results;


    Arrays.fill( results, 0 ); // clear before use

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Examples of cascading.tuple.TupleEntry

    Iterator<TupleEntry> iterator = bufferCall.getArgumentsIterator();
    int count = 0;


    while( iterator.hasNext() )
      {
      TupleEntry next = iterator.next();
      Double score = next.getDouble( 0 );


      results[ count++ ] += score;
      }


    double prediction = selection.predict( results );

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Examples of cascading.tuple.TupleEntry


    Iterator<TupleEntry> iterator = bufferCall.getArgumentsIterator();


    while( iterator.hasNext() )
      {
      TupleEntry next = iterator.next();
      Integer category = (Integer) next.getObject( 0 );


      results[ category ] += 1;
      }


    int index = selection.select( results );

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Examples of cascading.tuple.TupleEntry

    }


  @Override
  public void operate( FlowProcess flowProcess, FunctionCall<Context<BaseRegressionFunction.ExpressionContext>> functionCall )
    {
    TupleEntry arguments = functionCall.getArguments();
    ExpressionEvaluator[] expressions = functionCall.getContext().payload.expressions;
    double[] results = functionCall.getContext().payload.results;


    for( int i = 0; i < expressions.length; i++ )
      results[ i ] = expressions[ i ].calculate( arguments );

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Examples of cascading.tuple.TupleEntry

    clusteringSpec.addCluster( new Cluster( "3", 6.85277777777778d, 3.075d, 5.78611111111111d, 2.09722222222222d ) );


    ClusteringFunction clusteringFunction = new ClusteringFunction( clusteringSpec );


//    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 6.9d, 3.1d, 4.9d, 1.5d ) );
    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 6.4d, 3.1d, 5.5d, 1.8d ) );


    TupleListCollector collector = invokeFunction( clusteringFunction, tupleArguments, predictedFields );


//    assertEquals( new Tuple( "2" ), collector.entryIterator().next().getTuple() );
    assertEquals( new Tuple( "3" ), collector.entryIterator().next().getTuple() );

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