Package org.apache.hadoop.hive.ql.exec

Examples of org.apache.hadoop.hive.ql.exec.UDFArgumentException

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  @Override
  public StructObjectInspector initialize(ObjectInspector[] args)
      throws UDFArgumentException {

    if (args.length != 1) {
      throw new UDFArgumentException("explode() takes only one argument");
    }

    if (args[0].getCategory() != ObjectInspector.Category.LIST) {
      throw new UDFArgumentException("explode() takes an array as a parameter");
    }
    listOI = (ListObjectInspector) args[0];

    ArrayList<String> fieldNames = new ArrayList<String>();
    ArrayList<ObjectInspector> fieldOIs = new ArrayList<ObjectInspector>();
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    static ExprNodeDesc getFuncExprNodeDescWithUdfData(String udfName, Object udfData,
        ExprNodeDesc... children) throws UDFArgumentException {

      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.");
      }

      // Add udfData to UDF if necessary
      if (udfData != null) {
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      // For now, if a bigint is going to be cast to a double throw an error or warning
      if ((oiTypeInfo0.equals(TypeInfoFactory.stringTypeInfo) && oiTypeInfo1.equals(TypeInfoFactory.longTypeInfo)) ||
          (oiTypeInfo0.equals(TypeInfoFactory.longTypeInfo) && oiTypeInfo1.equals(TypeInfoFactory.stringTypeInfo))) {
        if (HiveConf.getVar(conf, HiveConf.ConfVars.HIVEMAPREDMODE).equalsIgnoreCase("strict")) {
          throw new UDFArgumentException(ErrorMsg.NO_COMPARE_BIGINT_STRING.getMsg());
        } else {
          console.printError("WARNING: Comparing a bigint and a string may result in a loss of precision.");
        }
      } else if ((oiTypeInfo0.equals(TypeInfoFactory.doubleTypeInfo) && oiTypeInfo1.equals(TypeInfoFactory.longTypeInfo)) ||
          (oiTypeInfo0.equals(TypeInfoFactory.longTypeInfo) && oiTypeInfo1.equals(TypeInfoFactory.doubleTypeInfo))) {
        if (HiveConf.getVar(conf, HiveConf.ConfVars.HIVEMAPREDMODE).equalsIgnoreCase("strict")) {
          throw new UDFArgumentException(ErrorMsg.NO_COMPARE_BIGINT_DOUBLE.getMsg());
        } else {
          console.printError("WARNING: Comparing a bigint and a double may result in a loss of precision.");
        }
      }
    }
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    if (arguments[0] instanceof StringObjectInspector) {
      intputTextOI = (StringObjectInspector) arguments[0];
      if (arguments.length > 1) {
        if (!(arguments[1] instanceof StringObjectInspector)) {
          throw new UDFArgumentException(
            "The time pattern for " + getName().toUpperCase() + " should be string type");
        }
        patternOI = (StringObjectInspector) arguments[1];
      }
    } else if (arguments[0] instanceof DateObjectInspector) {
      inputDateOI = (DateObjectInspector) arguments[0];
    } else if (arguments[0] instanceof TimestampObjectInspector) {
      inputTimestampOI = (TimestampObjectInspector) arguments[0];
    } else {
      throw new UDFArgumentException(
          "The function " + getName().toUpperCase() + " takes only string or timestamp types");
    }
  }
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  }

  @Override
  public ObjectInspector initialize(ObjectInspector[] arguments) throws UDFArgumentException {
    if (arguments.length != 1) {
      throw new UDFArgumentException("VARCHAR cast requires a value argument");
    }
    try {
      argumentOI = (PrimitiveObjectInspector) arguments[0];
    } catch (ClassCastException e) {
      throw new UDFArgumentException(
          "The function VARCHAR takes only primitive types");
    }

    // Check if this UDF has been provided with type params for the output varchar type
    SettableHiveVarcharObjectInspector outputOI;
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      LOG.warn("Type converter already initialized, setting type params now will not be useful");
    }
    if (typeParams instanceof VarcharTypeParams) {
      this.typeParams = (VarcharTypeParams)typeParams;
    } else {
      throw new UDFArgumentException(
          "Was expecting VarcharTypeParams, instead got " + typeParams.getClass().getName());
    }
  }
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    inputOIs = args;
    numCols = args.length - 1;

    if (numCols < 1) {
      throw new UDFArgumentException("json_tuple() takes at least two arguments: " +
          "the json string and a path expression");
    }

    for (int i = 0; i < args.length; ++i) {
      if (args[i].getCategory() != ObjectInspector.Category.PRIMITIVE ||
          !args[i].getTypeName().equals(serdeConstants.STRING_TYPE_NAME)) {
        throw new UDFArgumentException("json_tuple()'s arguments have to be string type");
      }
    }

    seenErrors = false;
    pathParsed = false;
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    public static ExprNodeDesc getFuncExprNodeDesc(String udfName,
        ExprNodeDesc... children) throws UDFArgumentException {

      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.");
      }

      List<ExprNodeDesc> childrenList = new ArrayList<ExprNodeDesc>(children.length);
      childrenList.addAll(Arrays.asList(children));
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  @Override
  public ObjectInspector initialize(ObjectInspector[] arguments) throws UDFArgumentException {

    if (arguments.length != 2) {
      throw new UDFArgumentException(
          opName + " requires two arguments.");
    }

    argumentOIs = arguments;
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    public static exprNodeDesc getFuncExprNodeDesc(String udfName, List<exprNodeDesc> children)
        throws UDFArgumentException {

      FunctionInfo fi = FunctionRegistry.getFunctionInfo(udfName);
      if (fi == null) {
        throw new UDFArgumentException("udf:" + udfName + " not found.");
      }
     
      GenericUDF genericUDF = fi.getGenericUDF();
      if (genericUDF == null) {
        throw new UDFArgumentException("udf:" + udfName + " is an aggregation function.");
      }

      return exprNodeGenericFuncDesc.newInstance(genericUDF, children);
    }
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