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

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

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    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf
        .getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);

    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
        new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
            false, groupByMemoryUsage, memoryThreshold, null, false, 0, containsDistinctAggr),
        new RowSchema(groupByOutputRowResolver2.getColumnInfos()),
        reduceSinkOperatorInfo2), groupByOutputRowResolver2);
    op.setColumnExprMap(colExprMap);
    return op;
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    // Generate group-by operator
    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf
        .getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
        new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
            false, groupByMemoryUsage, memoryThreshold, null, false, 0, false),
        new RowSchema(groupByOutputRowResolver.getColumnInfos()),
        inputOperatorInfo), groupByOutputRowResolver);

    op.setColumnExprMap(colExprMap);
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    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx ctx,
        Object... nodeOutputs) throws SemanticException {
      GroupByOperator op = (GroupByOperator) nd;
      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      List<String> colLists = new ArrayList<String>();
      GroupByDesc conf = op.getConf();
      ArrayList<ExprNodeDesc> keys = conf.getKeys();
      for (ExprNodeDesc key : keys) {
        colLists = Utilities.mergeUniqElems(colLists, key.getCols());
      }

      ArrayList<AggregationDesc> aggrs = conf.getAggregators();
      for (AggregationDesc aggr : aggrs) {
        ArrayList<ExprNodeDesc> params = aggr.getParameters();
        for (ExprNodeDesc param : params) {
          colLists = Utilities.mergeUniqElems(colLists, param.getCols());
        }
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      }
    }
    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
        new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
        false,groupByMemoryUsage,memoryThreshold), new RowSchema(groupByOutputRowResolver.getColumnInfos()),
        reduceSinkOperatorInfo), groupByOutputRowResolver);
    op.setColumnExprMap(colExprMap);
    return op;
  }
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          field, udaf.returnType, "", false));
    }
    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
        new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
        distPartAgg,groupByMemoryUsage,memoryThreshold), new RowSchema(groupByOutputRowResolver
        .getColumnInfos()), reduceSinkOperatorInfo),
        groupByOutputRowResolver);
    op.setColumnExprMap(colExprMap);
    return op;
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      }
    }
    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
        new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
        false,groupByMemoryUsage,memoryThreshold), new RowSchema(groupByOutputRowResolver.getColumnInfos()),
        inputOperatorInfo), groupByOutputRowResolver);
    op.setColumnExprMap(colExprMap);
    return op;
  }
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          field, udaf.returnType, "", false));
    }
    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
        new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
        false,groupByMemoryUsage,memoryThreshold), new RowSchema(groupByOutputRowResolver2.getColumnInfos()),
        reduceSinkOperatorInfo2), groupByOutputRowResolver2);
    op.setColumnExprMap(colExprMap);
    return op;
  }
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    // Generate group-by operator
    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
        new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
        false,groupByMemoryUsage,memoryThreshold), new RowSchema(groupByOutputRowResolver.getColumnInfos()),
        inputOperatorInfo), groupByOutputRowResolver);

    op.setColumnExprMap(colExprMap);
    return op;
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    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx ctx,
        Object... nodeOutputs) throws SemanticException {
      GroupByOperator op = (GroupByOperator) nd;
      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      List<String> colLists = new ArrayList<String>();
      GroupByDesc conf = op.getConf();
      ArrayList<ExprNodeDesc> keys = conf.getKeys();
      for (ExprNodeDesc key : keys) {
        colLists = Utilities.mergeUniqElems(colLists, key.getCols());
      }

      ArrayList<AggregationDesc> aggrs = conf.getAggregators();
      for (AggregationDesc aggr : aggrs) {
        ArrayList<ExprNodeDesc> params = aggr.getParameters();
        for (ExprNodeDesc param : params) {
          colLists = Utilities.mergeUniqElems(colLists, param.getCols());
        }
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    }
    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);

    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
      new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
      false,groupByMemoryUsage,memoryThreshold, null, false, 0),
      new RowSchema(groupByOutputRowResolver.getColumnInfos()),
      reduceSinkOperatorInfo), groupByOutputRowResolver);
    op.setColumnExprMap(colExprMap);
    return op;
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  • org.apache.hadoop.hive.ql.optimizer.ColumnPrunerProcFactory$ColumnPrunerGroupByProc
  • org.apache.hadoop.hive.ql.optimizer.ConstantPropagateProcFactory$ConstantPropagateGroupByProc
  • org.apache.hadoop.hive.ql.optimizer.DynamicPartitionPruningOptimization
  • org.apache.hadoop.hive.ql.optimizer.GroupByOptimizer$BucketGroupByProcessor
  • org.apache.hadoop.hive.ql.optimizer.GroupByOptimizer$SortGroupByProcessor
  • org.apache.hadoop.hive.ql.optimizer.index.RewriteCanApplyProcFactory$CheckGroupByProc
  • org.apache.hadoop.hive.ql.optimizer.index.RewriteQueryUsingAggregateIndex$NewQueryGroupbySchemaProc
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