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From HyukjinKwon <...@git.apache.org>
Subject [GitHub] spark pull request #17429: [MINOR][DOCS] Match several documentation changes...
Date Sun, 26 Mar 2017 06:27:14 GMT
Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17429#discussion_r108052897
  
    --- Diff: python/pyspark/sql/functions.py ---
    @@ -1675,15 +1675,18 @@ def array(*cols):
     @since(1.5)
     def array_contains(col, value):
         """
    -    Collection function: returns True if the array contains the given value. The collection
    -    elements and value must be of the same type.
    +    Collection function: returns null if the array is null, true if the array contains
the
    +    given value, and false otherwise.
     
         :param col: name of column containing array
         :param value: value to check for in array
     
         >>> df = spark.createDataFrame([(["a", "b", "c"],), ([],)], ['data'])
         >>> df.select(array_contains(df.data, "a")).collect()
         [Row(array_contains(data, a)=True), Row(array_contains(data, a)=False)]
    +    >>> df = spark.createDataFrame([(["1", "2", "3"],), ([],)], ['data'])
    +    >>> df.select(array_contains(df.data, 1)).collect()
    --- End diff --
    
    Yea,  the data is string array and the given value is a number. This case is about implicit
casting case. I added this example and removed `The collection elements and value must be
of the same type`. This one is the bit I described in https://github.com/apache/spark/pull/17429#discussion_r108030625


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