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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 updated SPARK-15244:
-------------------------------
Assignee: Dongjoon Hyun
> 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
> Assignee: Dongjoon Hyun
> 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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