Examples of UnionOperator


Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

      return dest;

    }

    UnionOperator currUnionOp = ctx.getCurrUnionOp();
   
    if  (currUnionOp != null) {
      opTaskMap.put(null, currTask);
      GenMapRedUtils.initUnionPlan(ctx, currTask, false);
      return dest;
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

   * It is a idempotent function to add various intermediate files as the source for the
   * union. The plan has already been created.
   */
  public static void initUnionPlan(GenMRProcContext opProcCtx, Task<? extends Serializable> currTask, boolean local) {
    mapredWork plan = (mapredWork) currTask.getWork();
    UnionOperator currUnionOp = opProcCtx.getCurrUnionOp();
    assert currUnionOp != null;
    GenMRUnionCtx uCtx = opProcCtx.getUnionTask(currUnionOp);
    assert uCtx != null;

    List<String>    taskTmpDirLst = uCtx.getTaskTmpDir();
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

      // union was map only - no special processing needed
      if (uCtx.isMapOnlySubq())
        return (new TableScanMapJoin()).process(nd, stack, procCtx, nodeOutputs);
     
      UnionOperator currUnion = ctx.getCurrUnionOp();
      assert currUnion != null;
      GenMRUnionCtx unionCtx = ctx.getUnionTask(currUnion);
      MapJoinOperator mapJoin = (MapJoinOperator)nd;

      // find the branch on which this processor was invoked
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

   * This can be optimized later on.
   * @param nd the file sink operator encountered
   * @param opProcCtx context
   */
  public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx opProcCtx, Object... nodeOutputs) throws SemanticException {
    UnionOperator union = (UnionOperator)nd;
    GenMRProcContext ctx = (GenMRProcContext)opProcCtx;
    ParseContext parseCtx = ctx.getParseCtx();
    UnionProcContext uCtx = parseCtx.getUCtx();

    // Map-only subqueries can be optimized in future to not write to a file in future
    Map<Operator<? extends Serializable>, GenMapRedCtx> mapCurrCtx = ctx.getMapCurrCtx();

    // The plan needs to be broken only if one of the sub-queries involve a map-reduce job
    if (uCtx.isMapOnlySubq()) {
      mapCurrCtx.put((Operator<? extends Serializable>)nd, new GenMapRedCtx(ctx.getCurrTask(), ctx.getCurrTopOp(), ctx.getCurrAliasId()));
      return null;
    }

    ctx.setCurrUnionOp(union);

    UnionParseContext uPrsCtx = uCtx.getUnionParseContext(union);
    assert uPrsCtx != null;

    Task<? extends Serializable> currTask = ctx.getCurrTask();
    int pos = UnionProcFactory.getPositionParent(union, stack);

    // is the current task a root task
    if (uPrsCtx.getRootTask(pos) && (!ctx.getRootTasks().contains(currTask)))
      ctx.getRootTasks().add(currTask);
   
    GenMRUnionCtx uCtxTask = ctx.getUnionTask(union);
    Task<? extends Serializable> uTask = null;

    Operator<? extends Serializable> parent = union.getParentOperators().get(pos);  
    mapredWork uPlan = null;

    // union is encountered for the first time
    if (uCtxTask == null) {
      uCtxTask = new GenMRUnionCtx();
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

   * @param opProcCtx
   *          context
   */
  public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx opProcCtx,
      Object... nodeOutputs) throws SemanticException {
    UnionOperator union = (UnionOperator) nd;
    GenMRProcContext ctx = (GenMRProcContext) opProcCtx;
    ParseContext parseCtx = ctx.getParseCtx();
    UnionProcContext uCtx = parseCtx.getUCtx();

    // Map-only subqueries can be optimized in future to not write to a file in
    // future
    Map<Operator<? extends Serializable>, GenMapRedCtx> mapCurrCtx = ctx
        .getMapCurrCtx();

    // The plan needs to be broken only if one of the sub-queries involve a
    // map-reduce job
    if (uCtx.isMapOnlySubq()) {
      // merge currTask from multiple topOps
      HashMap<Operator<? extends Serializable>, Task<? extends Serializable>> opTaskMap = ctx
          .getOpTaskMap();
      if (opTaskMap != null && opTaskMap.size() > 0) {
        Task<? extends Serializable> tsk = opTaskMap.get(null);
        if (tsk != null) {
          ctx.setCurrTask(tsk);
        }
      }

      UnionParseContext uPrsCtx = uCtx.getUnionParseContext(union);
      if ((uPrsCtx != null) && (uPrsCtx.getMapJoinQuery())) {
        GenMapRedUtils.mergeMapJoinUnion(union, ctx, UnionProcFactory
            .getPositionParent(union, stack));
      } else {
        mapCurrCtx.put((Operator<? extends Serializable>) nd, new GenMapRedCtx(
            ctx.getCurrTask(), ctx.getCurrTopOp(), ctx.getCurrAliasId()));
      }
      return null;
    }

    ctx.setCurrUnionOp(union);

    UnionParseContext uPrsCtx = uCtx.getUnionParseContext(union);
    assert uPrsCtx != null;

    Task<? extends Serializable> currTask = ctx.getCurrTask();
    int pos = UnionProcFactory.getPositionParent(union, stack);

    // is the current task a root task
    if (uPrsCtx.getRootTask(pos) && (!ctx.getRootTasks().contains(currTask))) {
      ctx.getRootTasks().add(currTask);
    }

    GenMRUnionCtx uCtxTask = ctx.getUnionTask(union);
    Task<? extends Serializable> uTask = null;

    Operator<? extends Serializable> parent = union.getParentOperators().get(
        pos);
    MapredWork uPlan = null;

    // union is encountered for the first time
    if (uCtxTask == null) {
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

      if (uCtx.isMapOnlySubq()) {
        return (new TableScanMapJoin())
            .process(nd, stack, procCtx, nodeOutputs);
      }

      UnionOperator currUnion = ctx.getCurrUnionOp();
      assert currUnion != null;
      ctx.getUnionTask(currUnion);
      AbstractMapJoinOperator<MapJoinDesc> mapJoin = (AbstractMapJoinOperator<MapJoinDesc>) nd;

      // find the branch on which this processor was invoked
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

      return dest;

    }

    UnionOperator currUnionOp = ctx.getCurrUnionOp();

    if (currUnionOp != null) {
      opTaskMap.put(null, currTask);
      GenMapRedUtils.initUnionPlan(ctx, currTask, false);
      return dest;
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

   * for the union. The plan has already been created.
   */
  public static void initUnionPlan(GenMRProcContext opProcCtx,
      Task<? extends Serializable> currTask, boolean local) {
    MapredWork plan = (MapredWork) currTask.getWork();
    UnionOperator currUnionOp = opProcCtx.getCurrUnionOp();
    assert currUnionOp != null;
    GenMRUnionCtx uCtx = opProcCtx.getUnionTask(currUnionOp);
    assert uCtx != null;

    List<String> taskTmpDirLst = uCtx.getTaskTmpDir();
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

   * @param opProcCtx
   *          context
   */
  public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx opProcCtx,
      Object... nodeOutputs) throws SemanticException {
    UnionOperator union = (UnionOperator) nd;
    GenMRProcContext ctx = (GenMRProcContext) opProcCtx;
    ParseContext parseCtx = ctx.getParseCtx();
    UnionProcContext uCtx = parseCtx.getUCtx();

    // Map-only subqueries can be optimized in future to not write to a file in
    // future
    Map<Operator<? extends Serializable>, GenMapRedCtx> mapCurrCtx = ctx.getMapCurrCtx();

    UnionParseContext uPrsCtx = uCtx.getUnionParseContext(union);

    ctx.setCurrUnionOp(union);
    // The plan needs to be broken only if one of the sub-queries involve a
    // map-reduce job
    if (uPrsCtx.allMapOnlySubQ()) {
      return processMapOnlyUnion(union, stack, ctx, uCtx);
    }

    assert uPrsCtx != null;

    Task<? extends Serializable> currTask = ctx.getCurrTask();
    int pos = UnionProcFactory.getPositionParent(union, stack);

    Task<? extends Serializable> uTask = null;
    MapredWork uPlan = null;

    // union is encountered for the first time
    GenMRUnionCtx uCtxTask = ctx.getUnionTask(union);
    if (uCtxTask == null) {
      uCtxTask = new GenMRUnionCtx();
      uPlan = GenMapRedUtils.getMapRedWork(parseCtx);
      uTask = TaskFactory.get(uPlan, parseCtx.getConf());
      uCtxTask.setUTask(uTask);
      ctx.setUnionTask(union, uCtxTask);
    }
    else {
      uTask = uCtxTask.getUTask();
    }

    // Copy into the current union task plan if
    if (uPrsCtx.getMapOnlySubq(pos)
        && !uPrsCtx.getMapJoinSubq(pos) && uPrsCtx.getRootTask(pos)) {
      processSubQueryUnionMerge(ctx, uCtxTask, union, stack);
    }
    // If it a map-reduce job, create a temporary file
    else {
      // is the current task a root task
      if (shouldBeRootTask(currTask, parseCtx)
          && (!ctx.getRootTasks().contains(currTask))) {
        ctx.getRootTasks().add(currTask);
      }
      // If there is a mapjoin at position 'pos'
      if (uPrsCtx.getMapJoinSubq(pos)) {
        processSubQueryUnionMapJoin(ctx);
      }

      processSubQueryUnionCreateIntermediate(union.getParentOperators().get(pos), union, uTask, ctx, uCtxTask);
      //the currAliasId and CurrTopOp is not valid any more
      ctx.setCurrAliasId(null);
      ctx.setCurrTopOp(null);
      ctx.getOpTaskMap().put(null, uTask);
    }
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Examples of org.apache.hadoop.hive.ql.exec.UnionOperator

  public static class MapRedUnion implements NodeProcessor {

    @Override
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      UnionOperator union = (UnionOperator) nd;
      UnionProcContext ctx = (UnionProcContext) procCtx;

      // find the branch on which this processor was invoked
      int pos = getPositionParent(union, stack);
      UnionParseContext uCtx = ctx.getUnionParseContext(union);
      if (uCtx == null) {
        uCtx = new UnionParseContext(union.getConf().getNumInputs());
      }
      ctx.setMapOnlySubq(false);
      uCtx.setMapOnlySubq(pos, false);
      uCtx.setRootTask(pos, false);
      ctx.setUnionParseContext(union, uCtx);
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