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https://issues.apache.org/jira/browse/SPARK-15244?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-15244.
--------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 13097
[https://github.com/apache/spark/pull/13097]

> Type of column name created with sqlContext.createDataFrame() is not 
> consistent.
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-15244
>                 URL: https://issues.apache.org/jira/browse/SPARK-15244
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.0.0
>         Environment: CentOS 7, Spark 1.6.0
>            Reporter: Kazuki Yokoishi
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> StructField() converts field name to str in __init__.
> But, when list of str/unicode is passed to sqlContext.createDataFrame() as a 
> schema, the type of StructField.name is not converted.
> To reproduce:
> {noformat}
> >>> schema = StructType([StructField(u"col", StringType())])
> >>> df1 = sqlContext.createDataFrame([("a",)], schema)
> >>> df1.columns # "col" is str
> ['col']
> >>> df2 = sqlContext.createDataFrame([("a",)], [u"col"])
> >>> df2.columns # "col" is unicode
> [u'col']
> {noformat}



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