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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/08/12 14:00:27 UTC
[jira] [Resolved] (SPARK-17037) distinct() operator fails on
Dataframe with column names containing periods
[ https://issues.apache.org/jira/browse/SPARK-17037?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-17037.
-------------------------------
Resolution: Duplicate
> distinct() operator fails on Dataframe with column names containing periods
> ---------------------------------------------------------------------------
>
> Key: SPARK-17037
> URL: https://issues.apache.org/jira/browse/SPARK-17037
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.0.0
> Reporter: Michael Styles
>
> Using the distinct() operator on a Dataframe with column names containing periods results in an AnalysisException. For example:
> {noformat}
> d = [{'pageview.count': 100, 'exit_page': 'example.com/landing'}
> df = sqlContext.createDataFrame(d)]
> df.distinct()
> {noformat}
> results in the following error:
> pyspark.sql.utils.AnalysisException: u'Cannot resolve column name "pageview.count" among (exit_page, pageview.count);'
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