Examples of CountReducer

Examples of com.datasalt.pangool.examples.topicalwordcount.TopicalWordCount.CountReducer

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    // Note that we don't need to use the DistributedCache for that becasuse mappers, reducers, etc themselves are instantiable
    StopWordMapper mapper = new StopWordMapper(stopWords);
    cg.addInput(new Path(args[0]), new HadoopInputFormat(TextInputFormat.class), mapper);
    // We'll use a TupleOutputFormat with the same schema than the intermediate schema
    cg.setTupleOutput(new Path(args[1]), TopicalWordCount.getSchema());
    cg.setTupleReducer(new CountReducer());
    cg.setTupleCombiner(new CountReducer());

    cg.createJob().waitForCompletion(true);

    return 1;
  }
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Examples of com.datasalt.pangool.examples.topicalwordcount.TopicalWordCount.CountReducer

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    // Note that we don't need to use the DistributedCache for that becasuse mappers, reducers, etc themselves are instantiable
    StopWordMapper mapper = new StopWordMapper(stopWords);
    cg.addInput(new Path(args[0]), new HadoopInputFormat(TextInputFormat.class), mapper);
    // We'll use a TupleOutputFormat with the same schema than the intermediate schema
    cg.setTupleOutput(new Path(args[1]), TopicalWordCount.getSchema());
    cg.setTupleReducer(new CountReducer());
    cg.setTupleCombiner(new CountReducer());

    cg.createJob().waitForCompletion(true);

    return 1;
  }
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Examples of com.datasalt.pangool.examples.topicalwordcount.TopicalWordCount.CountReducer

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    // instantiable
    StopWordMapper mapper = new StopWordMapper(stopWords);
    cg.addInput(new Path(args[0]), new HadoopInputFormat(TextInputFormat.class), mapper);
    // We'll use a TupleOutputFormat with the same schema than the intermediate schema
    cg.setTupleOutput(new Path(args[1]), TopicalWordCount.getSchema());
    cg.setTupleReducer(new CountReducer());
    cg.setTupleCombiner(new CountReducer());

    try {
      cg.createJob().waitForCompletion(true);
    } finally {
      cg.cleanUpInstanceFiles();
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Examples of com.google.appengine.tck.mapreduce.support.CountReducer

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        builder.setJobName("MapReduceTest stats");
        builder.setInput(new DatastoreInput("MapReduceTest", mapShardCount));
        builder.setMapper(new CountMapper());
        builder.setKeyMarshaller(Marshallers.getStringMarshaller());
        builder.setValueMarshaller(Marshallers.getLongMarshaller());
        builder.setReducer(new CountReducer());
        builder.setOutput(new InMemoryOutput<KeyValue<String, Long>>());

        final String countHandle = MapReduceJob.start(builder.build(), getSettings());

        JobInfo countJI = waitToFinish("COUNT", countHandle);
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