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

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

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      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));
      String field = getColumnInternalName(groupByKeys.size() + aggregations.size() -1);
      outputColumnNames.add(field);
      groupByOutputRowResolver.put("",value.toStringTree(),
                                   new ColumnInfo(field,
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        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 && isDistinct), amode));
      String field = getColumnInternalName(groupByKeys.size() + aggregations.size() - 1);
      outputColumnNames.add(field);
      groupByOutputRowResolver.put("", value.toStringTree(),
                                    new ColumnInfo(field,
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      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));
      String field = getColumnInternalName(groupByKeys.size() + aggregations.size() -1);
      outputColumnNames.add(field);
      groupByOutputRowResolver.put("",value.toStringTree(),
                                   new ColumnInfo(field,
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      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),
                                           amode));
      String field = getColumnInternalName(groupByKeys.size() + aggregations.size() - 1);
      outputColumnNames.add(field);
      groupByOutputRowResolver2.put("", value.toStringTree(),
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Related Classes of org.apache.hadoop.hive.ql.plan.aggregationDesc

  • org.apache.hadoop.hive.ql.exec.FunctionInfo
  • org.apache.hadoop.hive.ql.exec.GroupByOperator
  • org.apache.hadoop.hive.ql.exec.vector.TestVectorGroupByOperator
  • org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator
  • org.apache.hadoop.hive.ql.optimizer.GroupByOptimizer$SortGroupByProcessor
  • org.apache.hadoop.hive.ql.optimizer.stats.annotation.StatsRulesProcFactory$GroupByStatsRule
  • org.apache.hadoop.hive.ql.parse.SemanticAnalyzer
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