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Java RunningJob.mapProgress方法代码示例

本文整理汇总了Java中org.apache.hadoop.mapred.RunningJob.mapProgress方法的典型用法代码示例。如果您正苦于以下问题:Java RunningJob.mapProgress方法的具体用法?Java RunningJob.mapProgress怎么用?Java RunningJob.mapProgress使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在org.apache.hadoop.mapred.RunningJob的用法示例。


在下文中一共展示了RunningJob.mapProgress方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: testFailoverWhileRunningJob

import org.apache.hadoop.mapred.RunningJob; //导入方法依赖的package包/类
@Test(timeout=60000)
public void testFailoverWhileRunningJob() throws Exception {
  LOG.info("Running job failover test");

  // Inspired by TestRecoveryManager#testJobResubmission
  
  FileUtil.fullyDelete(new File("/tmp/tst"));
  
  // start a job on jt1
  JobConf job1 = new JobConf(conf);
  String signalFile = new Path(TEST_DIR, "signal").toString();
  UtilsForTests.configureWaitingJobConf(job1, new Path(TEST_DIR, "input"),
      new Path(TEST_DIR, "output3"), 2, 0, "test-resubmission", signalFile,
      signalFile);
  JobClient jc = new JobClient(job1);
  RunningJob rJob1 = jc.submitJob(job1);
  while (rJob1.mapProgress() < 0.5f) {
    LOG.info("Waiting for job " + rJob1.getID() + " to be 50% done: " +
        rJob1.mapProgress());
    UtilsForTests.waitFor(500);
  }
  LOG.info("Waiting for job " + rJob1.getID() + " to be 50% done: " +
      rJob1.mapProgress());
  
  // Shut the first JT down, causing automatic failover
  LOG.info("Shutting down jt1");
  cluster.shutdownJobTracker(0);
  
  // allow job to complete
  FileSystem fs = FileSystem.getLocal(conf);
  fs.create(new Path(TEST_DIR, "signal"));
  while (!rJob1.isComplete()) {
    LOG.info("Waiting for job " + rJob1.getID() + " to be successful: " +
        rJob1.mapProgress());
    UtilsForTests.waitFor(500);
  }
  assertTrue("Job should be successful", rJob1.isSuccessful());
}
 
开发者ID:Nextzero,项目名称:hadoop-2.6.0-cdh5.4.3,代码行数:39,代码来源:TestMRZKFailoverController.java

示例2: progress

import org.apache.hadoop.mapred.RunningJob; //导入方法依赖的package包/类
private double progress(RunningJob runningJob) {
  try {
    if(runningJob == null) {
      // Return default value
      return -1;
    }
    return (runningJob.mapProgress() + runningJob.reduceProgress()) / 2;
  } catch (IOException e) {
    throw new SqoopException(MapreduceSubmissionError.MAPREDUCE_0003, e);
  }
}
 
开发者ID:vybs,项目名称:sqoop-on-spark,代码行数:12,代码来源:MapreduceSubmissionEngine.java


注:本文中的org.apache.hadoop.mapred.RunningJob.mapProgress方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。