Package org.apache.hadoop.mapred

Examples of org.apache.hadoop.mapred.MiniMRCluster

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    private final MiniMRCluster mr;

    public MiniMrShim(Configuration conf, int numberOfTaskTrackers,
        String nameNode, int numDir) throws IOException {
      this.mr = new MiniMRCluster(numberOfTaskTrackers, nameNode, numDir);
    }
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      JobConf jConf = new JobConf(conf);
      jConf.set("yarn.scheduler.capacity.root.queues", "default");
      jConf.set("yarn.scheduler.capacity.root.default.capacity", "100");

      mr = new MiniMRCluster(numberOfTaskTrackers, nameNode, numDir, null, null, jConf);
    }
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    private final MiniMRCluster mr;

    public MiniMrShim(Configuration conf, int numberOfTaskTrackers,
        String nameNode, int numDir) throws IOException {
      this.mr = new MiniMRCluster(numberOfTaskTrackers, nameNode, numDir);
    }
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    // Tests were failing because this process used 6GB of virtual memory and was getting killed.
    // we up the VM usable so that processes don't get killed.
    conf.setFloat("yarn.nodemanager.vmem-pmem-ratio", 8.0f);

    mrCluster = new MiniMRCluster(0, 0, servers,
      FileSystem.get(conf).getUri().toString(), 1, null, null, null, new JobConf(conf));

    JobConf jobConf = MapreduceTestingShim.getJobConf(mrCluster);
    if (jobConf == null) {
      jobConf = mrCluster.createJobConf();
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    LOG.info("Starting mini mapreduce cluster...");
    // These are needed for the new and improved Map/Reduce framework
    Configuration c = getConfiguration();
    System.setProperty("hadoop.log.dir", c.get("hadoop.log.dir"));
    c.set("mapred.output.dir", c.get("hadoop.tmp.dir"));
    mrCluster = new MiniMRCluster(servers,
      FileSystem.get(c).getUri().toString(), 1);
    LOG.info("Mini mapreduce cluster started");
    c.set("mapred.job.tracker",
        mrCluster.createJobConf().get("mapred.job.tracker"));
  }
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    runTestOnTable(new HTable(new Configuration(conf), MULTI_REGION_TABLE_NAME));
  }

  private void runTestOnTable(HTable table)
  throws IOException, InterruptedException, ClassNotFoundException {
    MiniMRCluster mrCluster = new MiniMRCluster(2, fs.getUri().toString(), 1);
    Job job = null;
    try {
      LOG.info("Before map/reduce startup");
      job = new Job(table.getConfiguration(), "process column contents");
      job.setNumReduceTasks(1);
      Scan scan = new Scan();
      scan.addFamily(INPUT_FAMILY);
      TableMapReduceUtil.initTableMapperJob(
        Bytes.toString(table.getTableName()), scan,
        ProcessContentsMapper.class, ImmutableBytesWritable.class,
        Put.class, job);
      TableMapReduceUtil.initTableReducerJob(
        Bytes.toString(table.getTableName()),
        IdentityTableReducer.class, job);
      FileOutputFormat.setOutputPath(job, new Path("test"));
      LOG.info("Started " + Bytes.toString(table.getTableName()));
      job.waitForCompletion(true);
      LOG.info("After map/reduce completion");

      // verify map-reduce results
      verify(Bytes.toString(table.getTableName()));
    } finally {
      table.close();
      mrCluster.shutdown();
      if (job != null) {
        FileUtil.fullyDelete(
          new File(job.getConfiguration().get("hadoop.tmp.dir")));
      }
    }
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    LOG.info("Starting mini mapreduce cluster...");
    // These are needed for the new and improved Map/Reduce framework
    Configuration c = getConfiguration();
    System.setProperty("hadoop.log.dir", c.get("hadoop.log.dir"));
    c.set("mapred.output.dir", c.get("hadoop.tmp.dir"));
    mrCluster = new MiniMRCluster(servers,
      FileSystem.get(c).getUri().toString(), 1);
    LOG.info("Mini mapreduce cluster started");
    c.set("mapred.job.tracker",
        mrCluster.createJobConf().get("mapred.job.tracker"));
  }
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    try {
      fileSystem = TEST_ROOT_DIR.getFileSystem(conf);
    } catch (IOException io) {
      throw new RuntimeException("problem getting local fs", io);
    }
    mr = new MiniMRCluster(1, miniCluster.getFileSystemUri().toString(), 1);
    jobConf = mr.createJobConf();
    BufferStore.initNewBuffer(128, 128 * 128);
  }
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    try {
      localFs = FileSystem.getLocal(conf);
    } catch (IOException io) {
      throw new RuntimeException("problem getting local fs", io);
    }
    mr = new MiniMRCluster(1, "file:///", 1);
    jobConf = mr.createJobConf();
    BufferStore.initNewBuffer(128, 128 * 128);
  }
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    cluster = new MiniDFSCluster(0, config, 1, true, true, true,  null, null,
        null, null);
    cluster.waitActive();
    URI uri = cluster.getFileSystem().getUri();
   
    MiniMRCluster miniMRCluster = new MiniMRCluster(0, uri.toString() ,
      3, null, null, config);
   
    config.set("mapred.job.tracker", "localhost:"+miniMRCluster.getJobTrackerPort());
    ProxyUsers.refreshSuperUserGroupsConfiguration(config);
  }
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Related Classes of org.apache.hadoop.mapred.MiniMRCluster

  • org.apache.blur.mapreduce.lib.BlurOutputFormatTest
  • org.apache.hadoop.chukwa.analysis.salsa.fsm.TestFSMBuilder
  • org.apache.hadoop.chukwa.extraction.demux.TestDemux
  • org.apache.hadoop.cli.TestMRCLI
  • org.apache.hadoop.contrib.index.mapred.TestDistributionPolicy
  • org.apache.hadoop.contrib.index.mapred.TestIndexUpdater
  • org.apache.hadoop.filecache.TestMRWithDistributedCache
  • org.apache.hadoop.fs.TestCopyFiles
  • org.apache.hadoop.fs.TestHarFileSystem
  • org.apache.hadoop.hbase.HBaseTestingUtility
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