Package com.datasalt.pangool.tuplemr.mapred.lib.output

Examples of com.datasalt.pangool.tuplemr.mapred.lib.output.HadoopOutputFormat

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    mr.addIntermediateSchema(schema);
    mr.setGroupByFields("url");
    mr.setOrderBy(new OrderBy().add("url", Order.ASC).add("date", Order.ASC));
    // Input / output and such
    mr.setTupleReducer(new MovingAverageHandler(nDaysAverage));
    mr.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class, NullWritable.class);
    mr.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class), new URLVisitsProcessor());
    mr.createJob().waitForCompletion(true);
    return 1;
  }
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    mr.setGroupByFields("location", "date", "hashtag");
    mr.setOrderBy(new OrderBy().add("location", Order.ASC).add("date", Order.ASC).add("hashtag", Order.ASC));
    mr.setRollupFrom("date");
    // Input / output and such
    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());
    mr.createJob().waitForCompletion(true);
    return 0;
  }
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    // Rollup from "user" - all features from same user will go to the same Reducer
    mr.setRollupFrom("user");
    // Input / output and such
    mr.setTupleCombiner(new CountCombinerHandler());
    mr.setTupleReducer(new NormalizingHandler());
    mr.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class, NullWritable.class);
    mr.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class), new UserActivityProcessor());
    mr.createJob().waitForCompletion(true);
   
    return 1;
  }
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    mr.addIntermediateSchema(schema);
    mr.setGroupByFields("intField", "strField");
    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;
  }
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    TupleMRBuilder mr = new TupleMRBuilder(conf,"Pangool Url Resolution");
    mr.addIntermediateSchema(new Schema("urlMap", urlMapFields));
    mr.addIntermediateSchema(new Schema("urlRegister", urlRegisterFields));
    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;
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      protected void map(ITuple key, NullWritable value, Context context) throws IOException, InterruptedException {
        System.out.println(key.toString());
      };
    });
    builder.setOutput(new Path(HCatTupleInputFormat.class + "-out"), new HadoopOutputFormat(NullOutputFormat.class), NullWritable.class, NullWritable.class);
    builder.createJob().waitForCompletion(true);
    return 1;
  }
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    builder.addIntermediateSchema(getSchema());
    builder.setGroupByFields("first");
    builder.setOrderBy(new OrderBy().add("first", Order.ASC).add("second", Order.ASC));
    // Input / output and such
    builder.setTupleReducer(new Handler());
    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);
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    // Rollup from "user" - all features from same user will go to the same Reducer
    mr.setRollupFrom("user");
    // Input / output and such
    mr.setTupleCombiner(new CountCombinerHandler());
    mr.setTupleReducer(new NormalizingHandler());
    mr.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class,
        NullWritable.class);
    mr.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class),
        new UserActivityProcessor());

    try {
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    mr.setOrderBy(new OrderBy().add("location", Order.ASC).add("date", Order.ASC)
        .add("hashtag", Order.ASC));
    mr.setRollupFrom("date");
    // Input / output and such
    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 {
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    String output = args[2];
   
    delete(output);
   
    MapOnlyJobBuilder b = new MapOnlyJobBuilder(conf);
    b.setOutput(new Path(output), new HadoopOutputFormat(TextOutputFormat.class), Text.class, NullWritable.class);
    b.addInput(new Path(input), new HadoopInputFormat(TextInputFormat.class), new GrepHandler(regex));
    Job job = b.createJob();
    try {
      job.waitForCompletion(true);
    } finally {
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Related Classes of com.datasalt.pangool.tuplemr.mapred.lib.output.HadoopOutputFormat

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  • com.datasalt.pangool.examples.Grep
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  • com.datasalt.pangool.examples.movingaverage.MovingAverage
  • com.datasalt.pangool.examples.naivebayes.NaiveBayesClassifier
  • com.datasalt.pangool.examples.secondarysort.SecondarySort
  • com.datasalt.pangool.examples.simplesecondarysort.SimpleSecondarySort
  • com.datasalt.pangool.examples.solr.MultiShakespeareIndexer
  • com.datasalt.pangool.examples.topnhashtags.TopNHashTags
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