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).


      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);
      aggregations

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  static GenericUDAFEvaluator getGenericUDAFEvaluator(String aggName,
      ArrayList<ExprNodeDesc> aggParameters, ASTNode aggTree,
      boolean isDistinct, boolean isAllColumns)
      throws SemanticException {
    ArrayList<TypeInfo> originalParameterTypeInfos = getTypeInfo(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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      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);
      aggregations

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    TypeInfo[] parameters = new TypeInfo[argumentTypeInfos.size()];
    for (int i = 0; i < parameters.length; i++) {
      parameters[i] = argumentTypeInfos.get(i);
    }


    GenericUDAFEvaluator udafEvaluator = null;
    if (udafResolver instanceof GenericUDAFResolver2) {
      GenericUDAFParameterInfo paramInfo =
          new SimpleGenericUDAFParameterInfo(
              parameters, isDistinct, isAllColumns);
      udafEvaluator =

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   */
  static GenericUDAFEvaluator getGenericUDAFEvaluator(String aggName,
      ArrayList<exprNodeDesc> aggParameters,
      ASTNode aggTree) throws SemanticException {
    ArrayList<TypeInfo> originalParameterTypeInfos = getTypeInfo(aggParameters);
    GenericUDAFEvaluator result = FunctionRegistry.getGenericUDAFEvaluator(
        aggName, originalParameterTypeInfos);
    if (null == result) {
      String reason = "Looking for UDAF Evaluator\"" + aggName + "\" with parameters "
          + originalParameterTypeInfos;
      throw new SemanticException(ErrorMsg.INVALID_FUNCTION_SIGNATURE.

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                                                 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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