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

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

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

org.apache.hadoop.hive.ql.udf.generic.GenericUDF
A Generic User-defined function (GenericUDF) for the use with Hive. New GenericUDF classes need to inherit from this GenericUDF class. The GenericUDF are superior to normal UDFs 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 GenericUDF that accepts array, array> and so on (arbitrary levels of nesting). 4. It can do short-circuit evaluations using DeferedObject.

      } else {
        throw new IllegalStateException("Unexpected non-null ExprNodeConstantDesc: "
          + expr.getExprString());
      }
    } else if (expr instanceof ExprNodeGenericFuncDesc) {
      GenericUDF udf = ((ExprNodeGenericFuncDesc)expr).getGenericUDF();
      boolean isAnd = udf instanceof GenericUDFOPAnd;
      if (isAnd || udf instanceof GenericUDFOPOr) {
        List<ExprNodeDesc> children = expr.getChildren();
        ExprNodeDesc left = children.get(0);
        children.set(0, compactExpr(left));

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        AnnotateStatsProcCtx aspCtx, List<String> neededCols) throws CloneNotSupportedException {
      long newNumRows = 0;
      Statistics andStats = null;
      if (pred instanceof ExprNodeGenericFuncDesc) {
        ExprNodeGenericFuncDesc genFunc = (ExprNodeGenericFuncDesc) pred;
        GenericUDF udf = genFunc.getGenericUDF();


        // for AND condition cascadingly update stats
        if (udf instanceof GenericUDFOPAnd) {
          andStats = stats.clone();
          aspCtx.setAndExprStats(andStats);

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      long numRows = stats.getNumRows();


      if (child instanceof ExprNodeGenericFuncDesc) {


        ExprNodeGenericFuncDesc genFunc = (ExprNodeGenericFuncDesc) child;
        GenericUDF udf = genFunc.getGenericUDF();


        if (udf instanceof GenericUDFOPEqual || udf instanceof GenericUDFOPEqualNS) {
          String colName = null;
          String tabAlias = null;
          boolean isConst = false;

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      FunctionInfo fi = FunctionRegistry.getFunctionInfo(udfName);
      if (fi == null) {
        throw new UDFArgumentException(udfName + " not found.");
      }


      GenericUDF genericUDF = fi.getGenericUDF();
      if (genericUDF == null) {
        throw new UDFArgumentException(udfName
            + " is an aggregation function or a table function.");
      }

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            throw new SemanticException(ErrorMsg.INVALID_FUNCTION.getMsg(expr));
          }
        }


        // getGenericUDF() actually clones the UDF. Just call it once and reuse.
        GenericUDF genericUDF = fi.getGenericUDF();


        if (!fi.isNative()) {
          ctx.getUnparseTranslator().addIdentifierTranslation(
              (ASTNode) expr.getChild(0));
        }

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      if (nodeEvaluator instanceof ExprNodeGenericFuncEvaluator) {
        if (((ExprNodeGenericFuncEvaluator) nodeEvaluator).isEager) {
          isEager = true;
        }
        // Base case:  we are eager if a child is stateful
        GenericUDF childUDF =
          ((ExprNodeGenericFuncDesc) child).getGenericUDF();
        if (FunctionRegistry.isStateful(childUDF)) {
          isEager = true;
        }
      }

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                                              MajorType[] argTypes,
                                              ObjectInspector[] argOIs) {
    // probe UDF to find if the arg types and acceptable
    // if acceptable create a holder object
    try {
      GenericUDF udfInstance = udfClazz.newInstance();
      ObjectInspector returnOI = udfInstance.initialize(argOIs);
      return new HiveFuncHolder(
        udfClazz,
        argTypes,
        returnOI,
        Types.optional(ObjectInspectorHelper.getDrillType(returnOI)),

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  private HiveFuncHolder matchAndCreateUDFHolder(String udfName,
                                                 Class<? extends UDF> udfClazz,
                                                 MajorType[] argTypes,
                                                 ObjectInspector[] argOIs) {
    try {
      GenericUDF udfInstance = new GenericUDFBridge(udfName, false/* is operator */, udfClazz);
      ObjectInspector returnOI = udfInstance.initialize(argOIs);


      return new HiveFuncHolder(
        udfName,
        udfClazz,
        argTypes,

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      if (nodeEvaluator instanceof ExprNodeGenericFuncEvaluator) {
        if (((ExprNodeGenericFuncEvaluator) nodeEvaluator).isEager) {
          isEager = true;
        }
        // Base case:  we are eager if a child is stateful
        GenericUDF childUDF =
          ((ExprNodeGenericFuncDesc) child).getGenericUDF();
        if (FunctionRegistry.isStateful(childUDF)) {
          isEager = true;
        }
      }

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        return "Column " + expr.getExprString() + " is not string "
          + (isIntegralSupported ? "or integral ": "") + "type: " + type.getTypeName();
     }
    } else if (expr instanceof ExprNodeGenericFuncDesc) {
      ExprNodeGenericFuncDesc funcDesc = (ExprNodeGenericFuncDesc) expr;
      GenericUDF func = funcDesc.getGenericUDF();
      if (!supportedJDOFuncs(func)) {
        return "Expression " + expr.getExprString() + " cannot be evaluated";
      }
      boolean allChildrenConstant = true;
      List<ExprNodeDesc> children = funcDesc.getChildExprs();

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