Package org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator

Examples of org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.Mode


      }

      if (isDistinct) {
        numDistinctUDFs++;
      }
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(
          aggName, aggParameters, value, isDistinct, isAllColumns);
      assert (genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
          aggParameters);
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      }
      if (isDistinct) {
        numDistinctUDFs++;
      }
      boolean isAllColumns = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = null;
      // For distincts, partial aggregations have not been done
      if (distPartAgg) {
        genericUDAFEvaluator = getGenericUDAFEvaluator(aggName, aggParameters,
            value, isDistinct, isAllColumns);
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        aggParameters.add(paraExprNode);
      }

      boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
      boolean isAllColumns = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);

      GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(
          aggName, aggParameters, value, isDistinct, isAllColumns);
      assert (genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
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      String aggName = value.getChild(0).getText();

      boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
      boolean isStar = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = genericUDAFEvaluators
          .get(entry.getKey());
      assert (genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
          aggParameters);
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      }

      boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
      containsDistinctAggr = containsDistinctAggr || isDistinct;
      boolean isAllColumns = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);

      GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(
          aggName, aggParameters, value, isDistinct, isAllColumns);
      assert (genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
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      String aggName = unescapeIdentifier(value.getChild(0).getText());

      boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
      containsDistinctAggr = containsDistinctAggr || isDistinct;
      boolean isStar = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = genericUDAFEvaluators
          .get(entry.getKey());
      assert (genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
          aggParameters);
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      }

      if (isDistinct) {
        numDistinctUDFs++;
      }
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(
          aggName, aggParameters, value, isDistinct, isAllColumns);
      assert (genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
          aggParameters);
View Full Code Here

      }
      if (isDistinct) {
        numDistinctUDFs++;
      }
      boolean isAllColumns = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = null;
      // For distincts, partial aggregations have not been done
      if (distPartAgg) {
        genericUDAFEvaluator = getGenericUDAFEvaluator(aggName, aggParameters,
            value, isDistinct, isAllColumns);
View Full Code Here

      }

      if (isDistinct) {
        numDistinctUDFs++;
      }
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(
          aggName, aggParameters, value, isDistinct, isAllColumns);
      assert (genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
          aggParameters);
View Full Code Here

      }
      if (isDistinct) {
        numDistinctUDFs++;
      }
      boolean isAllColumns = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = null;
      // For distincts, partial aggregations have not been done
      if (distPartAgg) {
        genericUDAFEvaluator = getGenericUDAFEvaluator(aggName, aggParameters,
            value, isDistinct, isAllColumns);
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