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

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

1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
                                                 paraExprInfo.getTabAlias(),
                                                 paraExprInfo.getIsPartitionCol()));
      }
     
      boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(aggName, aggParameters, value);
      assert(genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode, aggParameters);
      aggregations.add(new aggregationDesc(aggName.toLowerCase(), udaf.genericUDAFEvaluator, udaf.convertedParameters,
          isDistinct, amode));
View Full Code Here
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
        aggParameters.add(new exprNodeColumnDesc(paraExprInfo.getType(), paraExpression,
                                                 paraExprInfo.getTabAlias(),
                                                 paraExprInfo.getIsPartitionCol()));
      }
      boolean isDistinct = (value.getType() == HiveParser.TOK_FUNCTIONDI);
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = null;
      // For distincts, partial aggregations have not been done
      if (distPartAgg) {
        genericUDAFEvaluator = getGenericUDAFEvaluator(aggName, aggParameters, value);
        assert(genericUDAFEvaluator != null);
View Full Code Here
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
        aggParameters.add(paraExprNode);
      }

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

      GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(aggName, aggParameters, value);
      assert(genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode, aggParameters);
      aggregations.add(new aggregationDesc(aggName.toLowerCase(), udaf.genericUDAFEvaluator, udaf.convertedParameters,
View Full Code Here
2175
2176
2177
2178
2179
2180
2181
2182
2183
2184
2185
                                               paraExprInfo.getIsPartitionCol()));

      String aggName = value.getChild(0).getText();

      boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
      Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
      GenericUDAFEvaluator genericUDAFEvaluator = genericUDAFEvaluators.get(entry.getKey());
      assert(genericUDAFEvaluator != null);
      GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode, aggParameters);
      aggregations.add(new aggregationDesc(aggName.toLowerCase(), udaf.genericUDAFEvaluator, udaf.convertedParameters,
                                           (mode != groupByDesc.Mode.FINAL && value.getToken().getType() == HiveParser.TOK_FUNCTIONDI),
View Full Code Here
2523
2524
2525
2526
2527
2528
2529
2530
2531
2532
2533
      }

      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
2668
2669
2670
2671
2672
2673
2674
2675
2676
2677
2678
      }
      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
2790
2791
2792
2793
2794
2795
2796
2797
2798
2799
2800
        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,
View Full Code Here
3099
3100
3101
3102
3103
3104
3105
3106
3107
3108
3109
      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);
View Full Code Here
3533
3534
3535
3536
3537
3538
3539
3540
3541
3542
3543
      }

      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
3805
3806
3807
3808
3809
3810
3811
3812
3813
3814
3815
      }
      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
TOP

Related Classes of org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.Mode

  • brickhouse.udf.hll.HyperLogLogUDAFTest
  • org.apache.hadoop.hive.ql.parse.SemanticAnalyzer
  • org.apache.hadoop.hive.ql.parse.SemanticAnalyzer$OptiqBasedPlanner
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.