Examples of CrunchControlledJob

org.apache.crunch.hadoop.mapreduce.lib.jobcontrol.CrunchControlledJob
This class encapsulates a MapReduce job and its dependency. It monitors the states of the depending jobs and updates the state of this job. A job starts in the WAITING state. If it does not have any depending jobs, or all of the depending jobs are in SUCCESS state, then the job state will become READY. If any depending jobs fail, the job will fail too. When in READY state, the job can be submitted to Hadoop for execution, with the state changing into RUNNING state. From RUNNING state, the job can get into SUCCEEDED or FAILED state, depending the status of the job execution.

Examples of org.apache.crunch.hadoop.mapreduce.lib.jobcontrol.CrunchControlledJob

      }
      job.setInputFormatClass(CrunchInputFormat.class);
    }
    job.setJobName(createJobName(conf, pipeline.getName(), inputNodes, reduceNode, numOfJobs));


    return new CrunchControlledJob(
        jobID,
        job,
        new CrunchJobHooks.PrepareHook(job),
        new CrunchJobHooks.CompletionHook(job, outputPath, outputHandler.getMultiPaths(), group == null));
  }

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Examples of org.apache.crunch.hadoop.mapreduce.lib.jobcontrol.CrunchControlledJob

      }
      job.setInputFormatClass(CrunchInputFormat.class);
    }
    job.setJobName(createJobName(pipeline.getName(), inputNodes, reduceNode));


    return new CrunchControlledJob(
        jobID,
        job,
        new CrunchJobHooks.PrepareHook(job),
        new CrunchJobHooks.CompletionHook(job, outputPath, outputHandler.getMultiPaths(), group == null));
  }

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Examples of org.apache.crunch.hadoop.mapreduce.lib.jobcontrol.CrunchControlledJob

      }
      job.setInputFormatClass(CrunchInputFormat.class);
    }
    JobNameBuilder jobNameBuilder = createJobNameBuilder(conf, pipeline.getName(), inputNodes, reduceNode, numOfJobs);


    return new CrunchControlledJob(
        jobID,
        job,
        jobNameBuilder,
        new CrunchJobHooks.PrepareHook(job),
        new CrunchJobHooks.CompletionHook(job, outputPath, outputHandler.getMultiPaths(), group == null));

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Examples of org.apache.crunch.hadoop.mapreduce.lib.jobcontrol.CrunchControlledJob

      }
      job.setInputFormatClass(CrunchInputFormat.class);
    }
    job.setJobName(createJobName(pipeline.getName(), inputNodes, reduceNode));


    return new CrunchControlledJob(
        jobID,
        job,
        new CrunchJobHooks.PrepareHook(job),
        new CrunchJobHooks.CompletionHook(job, outputPath, outputHandler.getMultiPaths(), group == null));
  }

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Examples of org.apache.crunch.hadoop.mapreduce.lib.jobcontrol.CrunchControlledJob

      }
      job.setInputFormatClass(CrunchInputFormat.class);
    }
    JobNameBuilder jobNameBuilder = createJobNameBuilder(conf, pipeline.getName(), inputNodes, reduceNode, numOfJobs);


    return new CrunchControlledJob(
        jobID,
        job,
        jobNameBuilder,
        allTargets,
        new CrunchJobHooks.PrepareHook(job),

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Examples of org.apache.crunch.hadoop.mapreduce.lib.jobcontrol.CrunchControlledJob

      }
      job.setInputFormatClass(CrunchInputFormat.class);
    }
    job.setJobName(createJobName(conf, pipeline.getName(), inputNodes, reduceNode, numOfJobs));


    return new CrunchControlledJob(
        jobID,
        job,
        new CrunchJobHooks.PrepareHook(job),
        new CrunchJobHooks.CompletionHook(job, outputPath, outputHandler.getMultiPaths(), group == null));
  }

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