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

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

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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);
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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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      }

      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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        };
   
    GenericUDAFParameterInfo paramInfo = new SimpleGenericUDAFParameterInfo(inputOiList, false, false);
    GenericUDAFEvaluator udafEvaluator = udaf.getEvaluator(paramInfo);
   
    Mode m = Mode.COMPLETE;
    ObjectInspector outputOi = udafEvaluator.init(m, inputOiList);
   
    Object[] parameters = new Object[] { null , 12 };
    AggregationBuffer agg = udafEvaluator.getNewAggregationBuffer();
    udafEvaluator.reset(agg);
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    GenericUDAFEvaluator udafEvaluator1 = udaf.getEvaluator(paramInfo1);
   
    GenericUDAFParameterInfo paramInfo2 = new SimpleGenericUDAFParameterInfo(inputOiList2, false, false);
    GenericUDAFEvaluator udafEvaluator2 = udaf.getEvaluator(paramInfo2);
   
    Mode m1 = Mode.PARTIAL1;
    ObjectInspector partialOutputOi1 = udafEvaluator1.init(m1, inputOiList1);
    AggregationBuffer agg1 = udafEvaluator1.getNewAggregationBuffer();
    udafEvaluator1.reset(agg1);
    udafEvaluator1.iterate(agg1, new Object[] { null , 12 });
    Object res1 = udafEvaluator1.terminate(agg1);
   
    Mode m2 = Mode.PARTIAL1;
    ObjectInspector partialOutputOi2 = udafEvaluator2.init(m2, inputOiList2);
    AggregationBuffer agg2 = udafEvaluator2.getNewAggregationBuffer();
    udafEvaluator2.reset(agg2);
    udafEvaluator2.iterate(agg2, new Object[] { null , 12 });
    Object res2 = udafEvaluator2.terminate(agg2);
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        };
   
    GenericUDAFParameterInfo paramInfo = new SimpleGenericUDAFParameterInfo(inputOiList, false, false);
    GenericUDAFEvaluator udafEvaluator = udaf.getEvaluator(paramInfo);
   
    Mode m = Mode.COMPLETE;
    ObjectInspector finalOutputOi = udafEvaluator.init(m, inputOiList);
   
    Object[] parameters = new Object[] { "foo" , 12 };
    AggregationBuffer agg = udafEvaluator.getNewAggregationBuffer();
    udafEvaluator.reset(agg);
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        };
   
    GenericUDAFParameterInfo paramInfo = new SimpleGenericUDAFParameterInfo(inputOiList, false, false);
    GenericUDAFEvaluator udafEvaluator = udaf.getEvaluator(paramInfo);
   
    Mode m = Mode.COMPLETE;
    ObjectInspector finalOutputOi = udafEvaluator.init(m, inputOiList);
   
    AggregationBuffer agg = udafEvaluator.getNewAggregationBuffer();
    udafEvaluator.reset(agg);
   
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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);
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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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