[GitHub] spark pull request #17831: [SPARK-18777][PYTHON][SQL] Return UDF from udf.re...

[HyukjinKwon <gi...@git.apache.org>]

Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17831#discussion_r114509033
  
    --- Diff: python/pyspark/sql/catalog.py ---
    @@ -237,23 +237,28 @@ def registerFunction(self, name, f, returnType=StringType()):
             :param name: name of the UDF
             :param f: python function
             :param returnType: a :class:`pyspark.sql.types.DataType` object
    +        :return: a wrapped :class:`UserDefinedFunction`
     
    -        >>> spark.catalog.registerFunction("stringLengthString", lambda x: len(x))
    +        >>> strlen = spark.catalog.registerFunction("stringLengthString", len)
             >>> spark.sql("SELECT stringLengthString('test')").collect()
             [Row(stringLengthString(test)=u'4')]
     
    +        >>> spark.sql("SELECT 'foo' AS text").select(strlen("text")).collect()
    +        [Row(stringLengthString(text)=u'3')]
    +
             >>> from pyspark.sql.types import IntegerType
    -        >>> spark.catalog.registerFunction("stringLengthInt", lambda x: len(x), IntegerType())
    +        >>> strlen = spark.catalog.registerFunction("stringLengthInt", len, IntegerType())
    --- End diff --
    
    It looks `strlen` is not being used. Should we remove this or add an example for this?


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