Package org.apache.crunch

Examples of org.apache.crunch.Pipeline.done()

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            return Pair.of(p[0], p[1]);
          }
        }, Avros.tableOf(Avros.strings(), Avros.strings()))
        .groupByKey()
        .write(new AvroPathPerKeyTarget(outDir));
    p.done();

    Set<String> names = Sets.newHashSet();
    FileSystem fs = outDir.getFileSystem(tempDir.getDefaultConfiguration());
    for (FileStatus fstat : fs.listStatus(outDir)) {
      names.add(fstat.getPath().getName());
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    PCollection<Put> resultPut = createPut(result);

    // We write the puts in hbase, in the target table
    pipeline.write(resultPut, new HBaseTarget(TABLE_TARGET));

    pipeline.done();
    return 0;
  }

  /**
   * Put the puts in HBase
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    assertEquals(Lists.newArrayList(expected), result);
   
    OrcFileTarget target = new OrcFileTarget(outputPath);
    pipeline.write(rows, target);
   
    assertTrue(pipeline.done().succeeded());
   
    OrcFileReaderFactory<T> reader = new OrcFileReaderFactory<T>(ptype);
    List<T> newResult = Lists.newArrayList(reader.read(fs, inputPath));
   
    assertEquals(Lists.newArrayList(expected), newResult);
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        },
        Writables.strings()
    );

    // Run it!
    pipeline.done();
    System.out.println("Objects2: " + ((MemCollection) objects2).getCollection());
  }
}
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        Writables.tableOf(Writables.strings(), Writables.doubles()));

    // write the result to a text file
    pipeline.writeTextFile(avgs, args[1]);
    // Execute the pipeline as a MapReduce.
    PipelineResult result = pipeline.done();

    return result.succeeded() ? 0 : 1;
  }

  // Function to calculate the average response size for a given ip address
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    // Execute the pipeline as a MapReduce.
    PipelineResult result = pipeline.run();

    System.out.println("Total number of words: " + totalCount.getValue());
   
    pipeline.done();

    return result.succeeded() ? 0 : 1;
  }

  public static void main(String[] args) throws Exception {
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    PCollection<Put> resultPut = createPut(result);

    // We write the puts in hbase, in the target table
    pipeline.write(resultPut, new HBaseTarget(TABLE_TARGET));

    pipeline.done();
    return 0;
  }

  /**
   * Put the puts in HBase
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            emitter.emit(sb.toString());
          }
        }, Writables.strings()).write(To.textFile(args[1]));

    // Execute the pipeline as a MapReduce.
    return pipeline.done().succeeded() ? 0 : 1;
  }

  public static void main(String[] args) throws Exception {
    int exitCode = -1;
    try {
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      }

    }, Writables.strings());

    List<String> nameList = Lists.newArrayList(names.materialize());
    pipeline.done();

    assertEquals(2, nameList.size());
    assertEquals(Sets.newHashSet("Hello", "World"), Sets.newHashSet(nameList));

  }
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        Writables.tableOf(Writables.strings(), Writables.doubles()));

    // write the result to a text file
    pipeline.writeTextFile(avgs, args[1]);
    // Execute the pipeline as a MapReduce.
    PipelineResult result = pipeline.done();

    return result.succeeded() ? 0 : 1;
  }

  // Function to calculate the average response size for a given ip address
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