Package org.apache.hadoop.hive.ql.exec

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

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        reduceSinkOutputRowResolver.putExpression(entry.getValue(),
            new ColumnInfo(field, type, null, false));
      }
    }

    ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
        OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys,
        grpByExprs.size(), reduceValues, distinctColIndices,
        outputKeyColumnNames, outputValueColumnNames, true, -1, numPartitionFields,
        numReducers), new RowSchema(reduceSinkOutputRowResolver
        .getColumnInfos()), inputOperatorInfo), reduceSinkOutputRowResolver);
    rsOp.setColumnExprMap(colExprMap);
    return rsOp;
  }
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      reduceSinkOutputRowResolver2.putExpression(t, new ColumnInfo(
          Utilities.ReduceField.VALUE.toString() + "." + col, typeInfo, "",
          false));
    }

    ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
        OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys,
        reduceValues, outputColumnNames, true, -1, numPartitionFields,
        numReducers), new RowSchema(reduceSinkOutputRowResolver2
        .getColumnInfos()), groupByOperatorInfo),
        reduceSinkOutputRowResolver2);

    rsOp.setColumnExprMap(colExprMap);
    return rsOp;
  }
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          "strict")) {
        throw new SemanticException(ErrorMsg.NO_CARTESIAN_PRODUCT.getMsg());
      }
    }

    ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
        OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys,
        reduceValues, outputColumns, false, joinTree.getNextTag(),
        reduceKeys.size(), numReds), new RowSchema(outputRS
        .getColumnInfos()), child), outputRS);
    rsOp.setColumnExprMap(colExprMap);
    return rsOp;
  }
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          }
        }
      }
    }

    ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
        OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys,
        reduceValues, outputColumnNames, true, -1, reduceKeys.size(), -1),
        new RowSchema(reduceSinkOutputRowResolver.getColumnInfos()), input),
        reduceSinkOutputRowResolver);

    rsOp.setColumnExprMap(colExprMap);
    return rsOp;
  }
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    if (topOp == null) {
      return;
    }

    if (topOp instanceof ReduceSinkOperator) {
      ReduceSinkOperator rs = (ReduceSinkOperator) topOp;
      plan.setKeyDesc(rs.getConf().getKeySerializeInfo());
      int tag = Math.max(0, rs.getConf().getTag());
      List<TableDesc> tagToSchema = plan.getTagToValueDesc();
      while (tag + 1 > tagToSchema.size()) {
        tagToSchema.add(null);
      }
      tagToSchema.set(tag, rs.getConf().getValueSerializeInfo());
    } else {
      List<Operator<? extends Serializable>> children = topOp.getChildOperators();
      if (children != null) {
        for (Operator<? extends Serializable> op : children) {
          setKeyAndValueDesc(plan, op);
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   * @param plan     current plan
   * @param topOp    current top operator in the path
   */
  public static void setKeyAndValueDesc(mapredWork plan, Operator<? extends Serializable> topOp) {
    if (topOp instanceof ReduceSinkOperator) {
      ReduceSinkOperator rs = (ReduceSinkOperator)topOp;
      plan.setKeyDesc(rs.getConf().getKeySerializeInfo());
      int tag = Math.max(0, rs.getConf().getTag());
      List<tableDesc> tagToSchema = plan.getTagToValueDesc();
      while (tag + 1 > tagToSchema.size()) {
        tagToSchema.add(null);
      }
      tagToSchema.set(tag, rs.getConf().getValueSerializeInfo());
    } else {
      List<Operator<? extends Serializable>> children = topOp.getChildOperators();
      if (children != null) {
        for(Operator<? extends Serializable> op: children) {
          setKeyAndValueDesc(plan, op);
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  /**
   * The Node Processor for Column Pruning on Reduce Sink Operators.
   */
  public static class ColumnPrunerReduceSinkProc implements NodeProcessor {
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx ctx, Object... nodeOutputs) throws SemanticException {
      ReduceSinkOperator op = (ReduceSinkOperator)nd;
      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx)ctx;
      HashMap<Operator<? extends Serializable>, OpParseContext> opToParseCtxMap =
          cppCtx.getOpToParseCtxMap();
      RowResolver redSinkRR = opToParseCtxMap.get(op).getRR();
      reduceSinkDesc conf = op.getConf();
      List<Operator<? extends Serializable>> childOperators = op.getChildOperators();
      List<Operator<? extends Serializable>> parentOperators = op.getParentOperators();
      List<String> childColLists = new ArrayList<String>();

      for(Operator<? extends Serializable> child: childOperators)
        childColLists = Utilities.mergeUniqElems(childColLists, cppCtx.getPrunedColLists().get(child));

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   * Reduce Scan encountered
   * @param nd the reduce sink operator encountered
   * @param opProcCtx context
   */
  public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx opProcCtx, Object... nodeOutputs) throws SemanticException {
    ReduceSinkOperator op = (ReduceSinkOperator)nd;
    GenMRProcContext ctx = (GenMRProcContext)opProcCtx;

    Map<Operator<? extends Serializable>, GenMapRedCtx> mapCurrCtx = ctx.getMapCurrCtx();
    GenMapRedCtx mapredCtx = mapCurrCtx.get(op.getParentOperators().get(0));
    Task<? extends Serializable> currTask    = mapredCtx.getCurrTask();
    mapredWork currPlan = (mapredWork) currTask.getWork();
    Operator<? extends Serializable> currTopOp   = mapredCtx.getCurrTopOp();
    String currAliasId = mapredCtx.getCurrAliasId();
    Operator<? extends Serializable> reducer = op.getChildOperators().get(0);
    HashMap<Operator<? extends Serializable>, Task<? extends Serializable>> opTaskMap = ctx.getOpTaskMap();
    Task<? extends Serializable> opMapTask = opTaskMap.get(reducer);

    ctx.setCurrTopOp(currTopOp);
    ctx.setCurrAliasId(currAliasId);
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   * Reduce Scan encountered
   * @param nd the reduce sink operator encountered
   * @param opProcCtx context
   */
  public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx opProcCtx, Object... nodeOutputs) throws SemanticException {
    ReduceSinkOperator op = (ReduceSinkOperator)nd;
    GenMRProcContext ctx = (GenMRProcContext)opProcCtx;

    ParseContext parseCtx = ctx.getParseCtx();
    UnionProcContext uCtx = parseCtx.getUCtx();

    // union was map only - no special processing needed
    if (uCtx.isMapOnlySubq())
      return (new GenMRRedSink1()).process(nd, stack, opProcCtx, nodeOutputs);

    // union consisted on a bunch of map-reduce jobs, and it has been split at the union
    Operator<? extends Serializable> reducer = op.getChildOperators().get(0);
    Map<Operator<? extends Serializable>, GenMapRedCtx> mapCurrCtx = ctx.getMapCurrCtx();
    GenMapRedCtx mapredCtx = mapCurrCtx.get(op.getParentOperators().get(0));
    Task<? extends Serializable> currTask    = mapredCtx.getCurrTask();
    mapredWork plan = (mapredWork) currTask.getWork();
    HashMap<Operator<? extends Serializable>, Task<? extends Serializable>> opTaskMap = ctx.getOpTaskMap();
    Task<? extends Serializable> opMapTask = opTaskMap.get(reducer);
   
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   * Reduce Scan encountered
   * @param nd the reduce sink operator encountered
   * @param opProcCtx context
   */
  public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx opProcCtx, Object... nodeOutputs) throws SemanticException {
    ReduceSinkOperator op = (ReduceSinkOperator)nd;
    GenMRProcContext ctx = (GenMRProcContext)opProcCtx;

    Map<Operator<? extends Serializable>, GenMapRedCtx> mapCurrCtx = ctx.getMapCurrCtx();
    GenMapRedCtx mapredCtx = mapCurrCtx.get(op.getParentOperators().get(0));
    Task<? extends Serializable> currTask      = mapredCtx.getCurrTask();
    Operator<? extends Serializable> currTopOp = mapredCtx.getCurrTopOp();
    String currAliasId = mapredCtx.getCurrAliasId();
    Operator<? extends Serializable> reducer = op.getChildOperators().get(0);
    Map<Operator<? extends Serializable>, Task<? extends Serializable>> opTaskMap = ctx.getOpTaskMap();
    Task<? extends Serializable> opMapTask = opTaskMap.get(reducer);

    ctx.setCurrTopOp(currTopOp);
    ctx.setCurrAliasId(currAliasId);
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Related Classes of org.apache.hadoop.hive.ql.exec.ReduceSinkOperator

  • org.apache.hadoop.hive.ql.io.HiveKey
  • org.apache.hadoop.hive.ql.optimizer.BucketingSortingReduceSinkOptimizer$BucketSortReduceSinkProcessor
  • org.apache.hadoop.hive.ql.optimizer.ColumnPrunerProcFactory$ColumnPrunerReduceSinkProc
  • org.apache.hadoop.hive.ql.optimizer.ConstantPropagateProcFactory$ConstantPropagateReduceSinkProc
  • org.apache.hadoop.hive.ql.optimizer.ConvertJoinMapJoin
  • org.apache.hadoop.hive.ql.optimizer.correlation.CorrelationOptimizer$CorrelationNodeProc
  • org.apache.hadoop.hive.ql.optimizer.correlation.QueryPlanTreeTransformation
  • org.apache.hadoop.hive.ql.optimizer.correlation.ReduceSinkDeDuplication$AbsctractReducerReducerProc
  • org.apache.hadoop.hive.ql.optimizer.correlation.ReduceSinkDeDuplication$GroupbyReducerProc
  • org.apache.hadoop.hive.ql.optimizer.correlation.ReduceSinkDeDuplication$ReducerReducerProc
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