[
https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Burak Yavuz updated SPARK-18634:
--------------------------------
Summary: Corruption and Correctness issues with exploding Python UDFs
(was: Issues with exploding Python UDFs)
> Corruption and Correctness issues with exploding Python UDFs
> ------------------------------------------------------------
>
> Key: SPARK-18634
> URL: https://issues.apache.org/jira/browse/SPARK-18634
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 2.0.2, 2.1.0
> Reporter: Burak Yavuz
>
> There are some weird issues with exploding Python UDFs in SparkSQL.
> There are 2 cases where based on the DataType of the exploded column, the
> result can be flat out wrong, or corrupt. Seems like something bad is
> happening when telling Tungsten the schema of the rows during or after
> applying the UDF.
> Please check the attached notebook for reproduction.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
