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Java Job.addCacheArchive方法代码示例

本文整理汇总了Java中org.apache.hadoop.mapreduce.Job.addCacheArchive方法的典型用法代码示例。如果您正苦于以下问题:Java Job.addCacheArchive方法的具体用法?Java Job.addCacheArchive怎么用?Java Job.addCacheArchive使用的例子?那么恭喜您, 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.mapreduce.Job的用法示例。


在下文中一共展示了Job.addCacheArchive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: testWithConf

import org.apache.hadoop.mapreduce.Job; //导入方法依赖的package包/类
private void testWithConf(Configuration conf) throws IOException,
    InterruptedException, ClassNotFoundException, URISyntaxException {
  // Create a temporary file of length 1.
  Path first = createTempFile("distributed.first", "x");
  // Create two jars with a single file inside them.
  Path second =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.second.jar"), 2);
  Path third =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.third.jar"), 3);
  Path fourth =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.fourth.jar"), 4);


  Job job = Job.getInstance(conf);
  job.setMapperClass(DistributedCacheCheckerMapper.class);
  job.setReducerClass(DistributedCacheCheckerReducer.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  FileInputFormat.setInputPaths(job, first);
  // Creates the Job Configuration
  job.addCacheFile(
    new URI(first.toUri().toString() + "#distributed.first.symlink"));
  job.addFileToClassPath(second);
  job.addArchiveToClassPath(third);
  job.addCacheArchive(fourth.toUri());
  job.setMaxMapAttempts(1); // speed up failures

  job.submit();
  assertTrue(job.waitForCompletion(false));
}
 
开发者ID:naver,项目名称:hadoop,代码行数:30,代码来源:TestMRWithDistributedCache.java

示例2: _testDistributedCache

import org.apache.hadoop.mapreduce.Job; //导入方法依赖的package包/类
public void _testDistributedCache(String jobJarPath) throws Exception {
  if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
         + " not found. Not running test.");
    return;
  }

  // Create a temporary file of length 1.
  Path first = createTempFile("distributed.first", "x");
  // Create two jars with a single file inside them.
  Path second =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.second.jar"), 2);
  Path third =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.third.jar"), 3);
  Path fourth =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.fourth.jar"), 4);

  Job job = Job.getInstance(mrCluster.getConfig());
  
  // Set the job jar to a new "dummy" jar so we can check that its extracted 
  // properly
  job.setJar(jobJarPath);
  // Because the job jar is a "dummy" jar, we need to include the jar with
  // DistributedCacheChecker or it won't be able to find it
  Path distributedCacheCheckerJar = new Path(
          JarFinder.getJar(DistributedCacheChecker.class));
  job.addFileToClassPath(distributedCacheCheckerJar.makeQualified(
          localFs.getUri(), distributedCacheCheckerJar.getParent()));
  
  job.setMapperClass(DistributedCacheChecker.class);
  job.setOutputFormatClass(NullOutputFormat.class);

  FileInputFormat.setInputPaths(job, first);
  // Creates the Job Configuration
  job.addCacheFile(
      new URI(first.toUri().toString() + "#distributed.first.symlink"));
  job.addFileToClassPath(second);
  // The AppMaster jar itself
  job.addFileToClassPath(
          APP_JAR.makeQualified(localFs.getUri(), APP_JAR.getParent())); 
  job.addArchiveToClassPath(third);
  job.addCacheArchive(fourth.toUri());
  job.setMaxMapAttempts(1); // speed up failures

  job.submit();
  String trackingUrl = job.getTrackingURL();
  String jobId = job.getJobID().toString();
  Assert.assertTrue(job.waitForCompletion(false));
  Assert.assertTrue("Tracking URL was " + trackingUrl +
                    " but didn't Match Job ID " + jobId ,
        trackingUrl.endsWith(jobId.substring(jobId.lastIndexOf("_")) + "/"));
}
 
开发者ID:naver,项目名称:hadoop,代码行数:53,代码来源:TestMRJobs.java


注:本文中的org.apache.hadoop.mapreduce.Job.addCacheArchive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。