Package com.linkedin.whiteelephant.mapreduce.lib.job

Examples of com.linkedin.whiteelephant.mapreduce.lib.job.StagedOutputJobExecutor


    // set log level for these classes to error to suppress spewing warnings about splits
    org.apache.log4j.Logger.getLogger("org.apache.hadoop.mapreduce.split.JobSplitWriter").setLevel(Level.ERROR);
    org.apache.log4j.Logger.getLogger("org.apache.hadoop.mapreduce.split.SplitMetaInfoReader").setLevel(Level.ERROR);

    _jobConcurrency = Integer.parseInt((String)_props.get("job.concurrency"));
    _executor = new StagedOutputJobExecutor(_jobConcurrency);
   
    parseJobs = new ParseJobsFromLogs(name, props);
    usagePerHour = new ComputeUsagePerHour(name, props);
    parseJobConfs = new ParseJobConfs(name, props);
  }
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