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

         */
        public FetchSetDatum drain() {
            if (!_queue.isEmpty()) {
                return removeFromQueue();
            } else if (safeHasNext()) {
                return new FetchSetDatum(new TupleEntry(_values.next()));
            } else {
                return null;
            }
        }

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Examples of cascading.tuple.TupleEntry

        super.cleanup(flowProcess, operationCall);
    }
    
  @Override
  public void operate(FlowProcess flowProcess, BufferCall<NullContext> bufferCall) {
        TupleEntry group = bufferCall.getGroup();
        String protocolAndDomain = group.getString(0);
        LOGGER.info("Processing tuple group: " + group);


        DiskQueue<GroupedUrlDatum> urls = new DiskQueue<GroupedUrlDatum>(MAX_URLS_IN_MEMORY);
        Iterator<TupleEntry> values = bufferCall.getArgumentsIterator();
        while (values.hasNext()) {
            urls.add(new GroupedUrlDatum(new TupleEntry(values.next())));
        }
        
        try {
            Runnable doRobots = new ProcessRobotsTask(protocolAndDomain, _scorer, urls, _fetcher, _parser, bufferCall.getOutputCollector(), _flowProcess);
            _executor.execute(doRobots);

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Examples of cascading.tuple.TupleEntry

        }


        @SuppressWarnings("rawtypes")
        @Override
        public void operate(FlowProcess process, FunctionCall<NullContext> funcCall) {
            TupleEntry entry = funcCall.getArguments();
            FetchedDatum fd = new FetchedDatum(entry);
            
            // Get the fetch status that we hang on the end of the tuple,
            // after all of the FetchedDatum fields.
            Object result = entry.getObject(_fieldPos);
            StatusDatum status;
            
            // Note: Here we share the payload of the FetchedDatum with the
            // StatusDatum we're about to emit, but since we let go after we
            // emit, there shouldn't be an issue with this sharing.

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Examples of cascading.tuple.TupleEntry

    public UrlDatum() {
        super(FIELDS);
    }


    public UrlDatum(UrlDatum datum) {
        super(new TupleEntry(datum.getTupleEntry()));
    }

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Examples of cascading.tuple.TupleEntry


    @SuppressWarnings("rawtypes")
    @Override
    public void operate(FlowProcess process, BufferCall<NullContext> buffCall) {
        Iterator<TupleEntry> values = buffCall.getArgumentsIterator();
        TupleEntry group = buffCall.getGroup();
        
        _values = values;
        _iteratorDone = false;


        // <key> is the output of the IGroupingKeyGenerator used. This should
        // be <IP address>-<crawl delay in ms>
        String key = group.getString(0);


        if (GroupingKey.isSpecialKey(key)) {
            throw new RuntimeException("Invalid grouping key: " + key);
        }


        long crawlDelay = GroupingKey.getCrawlDelayFromKey(key);
        if (crawlDelay == BaseFetchJobPolicy.UNSET_CRAWL_DELAY) {
            crawlDelay = _policy.getDefaultCrawlDelay();
        }
        
        _policy.startFetchSet(key, crawlDelay);
        
        TupleEntryCollector collector = buffCall.getOutputCollector();


        PartitioningKey newKey = new PartitioningKey(key, _numReduceTasks);
        
        while (safeHasNext()) {
            ScoredUrlDatum scoredDatum = new ScoredUrlDatum(new TupleEntry(values.next()));
            FetchSetInfo setInfo = _policy.nextFetchSet(scoredDatum);
            if (setInfo != null) {
                FetchSetDatum result = makeFetchSetDatum(setInfo, newKey, safeHasNext());
                collector.add(BixoPlatform.clone(result.getTuple(), process));
            }

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Examples of cascading.tuple.TupleEntry

        super(outfields);
    }


    public void operate( FlowProcess flowProcess, FunctionCall functionCall )
    {
        TupleEntry arguments = functionCall.getArguments();
        int key = arguments.getInteger(arguments.getFields().get(0));
        try {
            String doJoinString = (String)flowProcess.getProperty("joining");
            String itemIDString = rowIndex.inverse().get(String.valueOf(key));
            Vector va = ((VectorWritable)arguments.getObject(arguments.getFields().get(1))).get();
            String vaDoc = createOrderedDoc(va, itemIndex);
            Tuple tuple;
            if(doJoinString.equals("true")){
                Vector vb = ((VectorWritable)arguments.getObject(arguments.getFields().get(3))).get();
                String vbDoc = createOrderedDoc(vb, itemIndex);
                tuple = new Tuple(itemIDString, vaDoc, vbDoc);
            } else { // not joining, just converting to CSV
                tuple = new Tuple(itemIDString, vaDoc);
            }

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Examples of cascading.tuple.TupleEntry

  }


  @Override
  public void sink(FlowProcess<JobConf> flowProcess, SinkCall<Object[], OutputCollector> sinkCall)
      throws IOException {
    TupleEntry tupleEntry = sinkCall.getOutgoingEntry();
    OutputCollector outputCollector = sinkCall.getOutput();
    Tuple key = tupleEntry.selectTuple(keyField);
    byte[] keyBytes = Bytes.toBytes(key.getString(0));
    Put put = new Put(keyBytes);


    for (int i = 0; i < valueFields.length; i++) {
      Fields fieldSelector = valueFields[i];
      TupleEntry values = tupleEntry.selectEntry(fieldSelector);
      
      for (int j = 0; j < values.getFields().size(); j++) {
        Fields fields = values.getFields();
        Tuple tuple = values.getTuple();


        String value = tuple.getString(j);
        byte[] asBytes = value == null ? null : Bytes.toBytes(value);
        put.add(Bytes.toBytes(familyNames[i]), Bytes.toBytes((String) fields.get(j)), asBytes);
      }

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Examples of cascading.tuple.TupleEntry

    }


    @Override
    public void sink( FlowProcess<JobConf> flowProcess, SinkCall<Object[], OutputCollector> sinkCall ) throws IOException {
        // it's ok to use NULL here so the collector does not write anything
        TupleEntry tupleEntry = sinkCall.getOutgoingEntry();
        OutputCollector outputCollector = sinkCall.getOutput();
        if( updateBy != null )
        {
            Tuple allValues = tupleEntry.selectTuple( updateValueFields );
            Tuple updateValues = tupleEntry.selectTuple( updateByFields );


            allValues = cleanTuple( allValues );


            TupleRecord key = new TupleRecord( allValues );


            if( updateValues.equals( updateIfTuple ) )
                outputCollector.collect( key, null );
            else
                outputCollector.collect( key, key );


            return;
        }


        Tuple result = tupleEntry.selectTuple( getSinkFields() );


        result = cleanTuple( result );


        outputCollector.collect( new TupleRecord( result ), null );
    }

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Examples of cascading.tuple.TupleEntry

    super( 5, fieldDeclaration );
    }


  public void operate( FlowProcess flowProcess, FunctionCall functionCall )
    {
    TupleEntry argument = functionCall.getArguments();


    String uid1 = argument.getString( 0 );
    int token_count1 = argument.getInteger( 1 );
    String uid2 = argument.getString( 2 );
    int token_count2 = argument.getInteger( 3 );
    int common = argument.getInteger( 4 );


    double similarity = calcSimilarity( token_count1, token_count2, common );


    Tuple result = new Tuple();
    result.add( uid1 );

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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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