Package com.datasalt.pangool.tuplemr

Examples of com.datasalt.pangool.tuplemr.TupleMRBuilder.createJob()

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    mr.setOrderBy(new OrderBy().add("intField", Order.ASC).add("strField", Order.ASC).add("longField", Order.ASC));
    mr.setTupleReducer(new Handler());
    mr.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class), new IProcessor());
    mr.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class,
        DoubleWritable.class);
    mr.createJob().waitForCompletion(true);
    return 1;
  }

  public static void main(String[] args) throws Exception {
    ToolRunner.run(new SecondarySort(), args);
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    mr.setGroupByFields("url");
    mr.setTupleReducer(new Handler());
    mr.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class, NullWritable.class);
    mr.addInput(new Path(input1), new HadoopInputFormat(TextInputFormat.class), new UrlMapProcessor());
    mr.addInput(new Path(input2), new HadoopInputFormat(TextInputFormat.class), new UrlProcessor());
    mr.createJob().waitForCompletion(true);

    return 1;
  }
 
  public static void main(String[] args) throws Exception {
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    // 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;
  }
 
  public static void main(String[] args) throws Exception {
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    // We'll use a TupleOutputFormat with the same schema than the intermediate schema
    mr.setTupleOutput(new Path(args[1]), getSchema());
    mr.setTupleReducer(new CountReducer());
    mr.setTupleCombiner(new CountReducer());

    mr.createJob().waitForCompletion(true);

    return 1;
  }
 
  public static void main(String[] args) throws Exception {
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    builder.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class,
        NullWritable.class);
    builder.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class), new IProcessor());

    try {
      builder.createJob().waitForCompletion(true);
    } finally {
      builder.cleanUpInstanceFiles();
    }

    return 1;
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        NullWritable.class);
    mr.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class),
        new UserActivityProcessor());

    try {
      mr.createJob().waitForCompletion(true);
    } finally {
      mr.cleanUpInstanceFiles();
    }
    return 1;
  }
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    mr.setTupleReducer(new TweetsHandler(n));
    mr.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class,
        NullWritable.class);
    mr.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class), new TweetsProcessor());
    try {
      mr.createJob().waitForCompletion(true);
    } finally {
      mr.cleanUpInstanceFiles();
    }

    return 0;
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        }
      }
    });

    try {
      Job hadoopJob = job.createJob();
      hadoopJob.waitForCompletion(true);
    } finally {
      job.cleanUpInstanceFiles();
    }
    return 0;
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    });

    job.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class,
        NullWritable.class);
    try {
      job.createJob().waitForCompletion(true);
    } finally {
      job.cleanUpInstanceFiles();
    }
    delete(input);
    return 0;
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    mr.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class), new IProcessor());
    mr.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class,
        DoubleWritable.class);

    try {
      mr.createJob().waitForCompletion(true);
    } finally {
      mr.cleanUpInstanceFiles();
    }
    return 1;
  }
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