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

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

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

org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator
A Generic User-defined aggregation function (GenericUDAF) for the use with Hive. New GenericUDAF classes need to inherit from this GenericUDAF class. The GenericUDAF are superior to normal UDAFs in the following ways: 1. It can accept arguments of complex types, and return complex types. 2. It can accept variable length of arguments. 3. It can accept an infinite number of function signature - for example, it's easy to write a GenericUDAF that accepts array, array> and so on (arbitrary levels of nesting).

                                                 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));
      String field = getColumnInternalName(groupByKeys.size() + aggregations.size() -1);

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                                                 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);
        genericUDAFEvaluators.put(entry.getKey(), genericUDAFEvaluator);

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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);

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      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),
                                           amode));

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    GenericUDAFResolver udafResolver = getGenericUDAFResolver(name);
    if (udafResolver == null) {
      return null;
    }


    GenericUDAFEvaluator udafEvaluator = null;
    ObjectInspector args[] = new ObjectInspector[argumentOIs.size()];
    // Can't use toArray here because Java is dumb when it comes to
    // generics + arrays.
    for (int ii = 0; ii < argumentOIs.size(); ++ii) {
      args[ii] = argumentOIs.get(ii);

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            List<ExprNodeDesc> paraList = aggregationDesc.getParameters();
            List<ObjectInspector> parametersOIList = new ArrayList<ObjectInspector>();
            for (ExprNodeDesc expr : paraList) {
              parametersOIList.add(expr.getWritableObjectInspector());
            }
            GenericUDAFEvaluator evaluator = FunctionRegistry.getGenericUDAFEvaluator(
                "sum", parametersOIList, false, false);
            aggregationDesc.setGenericUDAFEvaluator(evaluator);
            aggregationDesc.setGenericUDAFName("sum");
          }
        }

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      ArrayList<ExprNodeDesc> aggParameters, ASTNode aggTree,
      boolean isDistinct, boolean isAllColumns)
      throws SemanticException {
    ArrayList<ObjectInspector> originalParameterTypeInfos =
      getWritableObjectInspector(aggParameters);
    GenericUDAFEvaluator result = FunctionRegistry.getGenericUDAFEvaluator(
        aggName, originalParameterTypeInfos, isDistinct, isAllColumns);
    if (null == result) {
      String reason = "Looking for UDAF Evaluator\"" + aggName
          + "\" with parameters " + originalParameterTypeInfos;
      throw new SemanticException(ErrorMsg.INVALID_FUNCTION_SIGNATURE.getMsg(

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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);
      aggregations.add(new AggregationDesc(aggName.toLowerCase(),

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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);
        assert (genericUDAFEvaluator != null);

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      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,
          aggParameters);
      aggregations.add(new AggregationDesc(aggName.toLowerCase(),

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