Examples of org.apache.hadoop.mapred.MapRunnable

org.apache.hadoop.mapred.MapRunnable
Expert: Generic interface for {@link Mapper}s.
Custom implementations of MapRunnable can exert greater control on map processing e.g. multi-threaded, asynchronous mappers etc.
@see Mapper


    RecordReader in = new OldRecordReader(input);


    OutputCollector collector = new OldOutputCollector(output);


    MapRunnable runner =
        (MapRunnable)ReflectionUtils.newInstance(job.getMapRunnerClass(), job);


    runner.run(in, collector, (Reporter)reporter);
    
    // Set progress to 1.0f if there was no exception,
    reporter.setProgress(1.0f);
    // start the sort phase only if there are reducers
    this.statusUpdate();

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    RecordReader in = new OldRecordReader(input);


    OutputCollector collector = new OldOutputCollector(output);


    MapRunnable runner =
        (MapRunnable)ReflectionUtils.newInstance(job.getMapRunnerClass(), job);


    runner.run(in, collector, (Reporter)reporter);
    
    // Set progress to 1.0f if there was no exception,
    reporter.setProgress(1.0f);
    // start the sort phase only if there are reducers
    this.statusUpdate();

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    RecordReader in = new OldRecordReader(input);


    OutputCollector collector = new OldOutputCollector(output);


    MapRunnable runner =
        (MapRunnable)ReflectionUtils.newInstance(job.getMapRunnerClass(), job);


    runner.run(in, collector, (Reporter)reporter);
    // start the sort phase only if there are reducers
    this.statusUpdate();
  }

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    RecordReader in = new OldRecordReader(input);


    OutputCollector collector = new OldOutputCollector(output);


    MapRunnable runner =
        (MapRunnable)ReflectionUtils.newInstance(job.getMapRunnerClass(), job);


    runner.run(in, collector, (Reporter)reporter);
    
    // Set progress to 1.0f if there was no exception,
    reporter.setProgress(1.0f);
    // start the sort phase only if there are reducers
    this.statusUpdate();

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Related Classes of org.apache.hadoop.mapred.MapRunnable

org.apache.tez.mapreduce.processor.map.MapProcessor

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