Package org.apache.hadoop.hive.ql.plan

Examples of org.apache.hadoop.hive.ql.plan.mapredWork

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    return getWork().getMapWork().getAliasToWork().values();
  }

  @Override
  public boolean hasReduce() {
    MapredWork w = getWork();
    return w.getReduceWork() != null;
  }
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      LinkedHashMap<String, Operator<? extends OperatorDesc>> ao =
        new LinkedHashMap<String, Operator<? extends OperatorDesc>>();
      ao.put("a", op);

      MapredWork mrwork = new MapredWork();
      mrwork.getMapWork().setPathToAliases(pa);
      mrwork.getMapWork().setPathToPartitionInfo(pt);
      mrwork.getMapWork().setAliasToWork(ao);

      // serialize the configuration once ..
      ByteArrayOutputStream baos = new ByteArrayOutputStream();
      Utilities.serializeObject(mrwork, baos);
      baos.close();
      String v1 = baos.toString();

      // store into configuration
      JobConf job = new JobConf(TestPlan.class);
      job.set("fs.default.name", "file:///");
      Utilities.setMapRedWork(job, mrwork, System.getProperty("java.io.tmpdir") + File.separator +
        System.getProperty("user.name") + File.separator + "hive");
      MapredWork mrwork2 = Utilities.getMapRedWork(job);
      Utilities.clearWork(job);

      // over here we should have some checks of the deserialized object against
      // the orginal object
      // System.out.println(v1);
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        new LinkedHashMap<String, Operator<? extends OperatorDesc>>();
      aliasToWork.put("a", cdop1);
      aliasToWork.put("b", cdop2);

      // initialize mapredWork
      MapredWork mrwork = new MapredWork();
      mrwork.getMapWork().setPathToAliases(pathToAliases);
      mrwork.getMapWork().setPathToPartitionInfo(pathToPartitionInfo);
      mrwork.getMapWork().setAliasToWork(aliasToWork);

      // get map operator and initialize it
      MapOperator mo = new MapOperator();
      mo.initializeAsRoot(hconf, mrwork.getMapWork());

      Text tw = new Text();
      InspectableObject io1 = new InspectableObject();
      InspectableObject io2 = new InspectableObject();
      for (int i = 0; i < 5; i++) {
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      String hiveConfArgs = generateCmdLine(conf);

      // write out the plan to a local file
      Path planPath = new Path(ctx.getLocalTmpFileURI(), "plan.xml");
      OutputStream out = FileSystem.getLocal(conf).create(planPath);
      MapredWork plan = getWork();
      LOG.info("Generating plan file " + planPath.toString());
      Utilities.serializeMapRedWork(plan, out);

      String isSilent = "true".equalsIgnoreCase(System
          .getProperty("test.silent")) ? "-nolog" : "";
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  // loop over all the tasks recursviely
  private void setKeyDescTaskTree(Task<? extends Serializable> task) {

    if (task instanceof ExecDriver) {
      MapredWork work = (MapredWork) task.getWork();
      work.deriveExplainAttributes();
      HashMap<String, Operator<? extends Serializable>> opMap = work
          .getAliasToWork();
      if (!opMap.isEmpty()) {
        for (Operator<? extends Serializable> op : opMap.values()) {
          GenMapRedUtils.setKeyAndValueDesc(work, op);
        }
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      MapredLocalWork plan = Utilities.deserializeMapRedLocalWork(pathData, conf);
      MapredLocalTask ed = new MapredLocalTask(plan, conf, isSilent);
      ret = ed.executeFromChildJVM(new DriverContext());

    } else {
      MapredWork plan = Utilities.deserializeMapRedWork(pathData, conf);
      ExecDriver ed = new ExecDriver(plan, conf, isSilent);
      ret = ed.execute(new DriverContext());
    }

    if (ret != 0) {
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    return true;
  }

  @Override
  public boolean hasReduce() {
    MapredWork w = getWork();
    return w.getReducer() != null;
  }
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      // modify the parse context to use indexing
      // we need to delay this until we choose one index so that we don't attempt to modify pctx multiple times
      HiveIndexQueryContext queryContext = queryContexts.get(chosenIndex);

      // prepare the map reduce job to use indexing
      MapredWork work = currentTask.getWork();
      work.setInputformat(queryContext.getIndexInputFormat());
      work.setIndexIntermediateFile(queryContext.getIndexIntermediateFile());

      // modify inputs based on index query
      Set<ReadEntity> inputs = pctx.getSemanticInputs();
      inputs.addAll(queryContext.getAdditionalSemanticInputs());
      List<Task<?>> chosenRewrite = queryContext.getQueryTasks();
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        if ((mvTask != null) && !mvTask.isLocal()) {
          // There are separate configuration parameters to control whether to
          // merge for a map-only job
          // or for a map-reduce job
          MapredWork currWork = (MapredWork) currTask.getWork();
          boolean mergeMapOnly =
            hconf.getBoolVar(HiveConf.ConfVars.HIVEMERGEMAPFILES) &&
            currWork.getReducer() == null;
          boolean mergeMapRed =
            hconf.getBoolVar(HiveConf.ConfVars.HIVEMERGEMAPREDFILES) &&
            currWork.getReducer() != null;
          if (mergeMapOnly || mergeMapRed) {
            chDir = true;
          }
        }
      }
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  private void addStatsTask(FileSinkOperator nd, MoveTask mvTask,
      Task<? extends Serializable> currTask, HiveConf hconf) {

    MoveWork mvWork = ((MoveTask)mvTask).getWork();
    StatsWork statsWork = new StatsWork(mvWork.getLoadTableWork());
    MapredWork mrWork = (MapredWork) currTask.getWork();

    // AggKey in StatsWork is used for stats aggregation while StatsAggPrefix
    // in FileSinkDesc is used for stats publishing. They should be consistent.
    statsWork.setAggKey(((FileSinkOperator)nd).getConf().getStatsAggPrefix());
    Task<? extends Serializable> statsTask = TaskFactory.get(statsWork, hconf);

    // mark the MapredWork and FileSinkOperator for gathering stats
    nd.getConf().setGatherStats(true);
    mrWork.setGatheringStats(true);
    // mrWork.addDestinationTable(nd.getConf().getTableInfo().getTableName());

    // subscribe feeds from the MoveTask so that MoveTask can forward the list
    // of dynamic partition list to the StatsTask
    mvTask.addDependentTask(statsTask);
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