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

    https://github.com/apache/spark/pull/15354#discussion_r82314175
  
    --- Diff: python/pyspark/sql/functions.py ---
    @@ -1729,6 +1729,29 @@ def from_json(col, schema, options={}):
         return Column(jc)
     
     
    +@ignore_unicode_prefix
    +@since(2.1)
    +def to_json(col, options={}):
    +    """
    +    Converts a column containing a [[StructType]] into a JSON string. 
Returns `null`,
    +    in the case of an unsupported type.
    +
    +    :param col: struct column
    +    :param options: options to control converting. accepts the same 
options as the json datasource
    +
    +    >>> from pyspark.sql import Row
    +    >>> from pyspark.sql.types import *
    +    >>> data = [(1, Row(name='Alice', age=2))]
    +    >>> df = spark.createDataFrame(data, ("key", "value"))
    +    >>> df.select(to_json(df.value).alias("json")).collect()
    +    [Row(json=u'{"age":2,"name":"Alice"}')]
    +    """
    +
    +    sc = SparkContext._active_spark_context
    +    jc = sc._jvm.functions.to_json(_to_java_column(col), options)
    --- End diff --
    
    @holdenk Thank you for your comment. Could you please a bit elaborate this 
comment? I am a bit not sure on what to fix.


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