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;
      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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      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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      String aggName = unescapeIdentifier(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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   */
  public boolean isDistinctLike() {
    ArrayList<AggregationDesc> aggregators = getAggregators();
    for(AggregationDesc ad: aggregators){
      if(!ad.getDistinct()) {
        GenericUDAFEvaluator udafEval = ad.getGenericUDAFEvaluator();
        UDFType annot = udafEval.getClass().getAnnotation(UDFType.class);
        if(annot == null || !annot.distinctLike()) {
          return false;
        }
      }
    }

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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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   */
  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.

View Full Code Here

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