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https://issues.apache.org/jira/browse/SPARK-20745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-20745:
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Labels: bulk-closed (was: )
> Data gets wrongly copied from one row to others, possibly related to named
> structs
> ----------------------------------------------------------------------------------
>
> Key: SPARK-20745
> URL: https://issues.apache.org/jira/browse/SPARK-20745
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 2.1.1
> Reporter: Martin Mauch
> Priority: Major
> Labels: bulk-closed
>
> We encountered a strange bug where Spark copies data over from one row to
> other rows. It might be related to named structs, at least the minimal repro
> we were able to achieve involves them:
> https://github.com/crealytics/spark_bug/blob/master/src/test/scala/spark/DataFrameConversionsSpec.scala
> The interesting part is that Spark behaves correctly when the DataFrame is
> cached (see the 2nd example) and also if you run the failing example a second
> time (see 1st vs 3rd example).
> You should be able to check out the above project and reproduce the problem
> with
> sbt test
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