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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/08/26 03:32:00 UTC
[jira] [Resolved] (SPARK-28862) Read Impala view with UNION ALL
operator
[ https://issues.apache.org/jira/browse/SPARK-28862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-28862.
----------------------------------
Resolution: Invalid
> Read Impala view with UNION ALL operator
> ----------------------------------------
>
> Key: SPARK-28862
> URL: https://issues.apache.org/jira/browse/SPARK-28862
> Project: Spark
> Issue Type: Bug
> Components: Build
> Affects Versions: 2.2.0
> Reporter: francesco
> Priority: Major
> Labels: Failed, Hive, PySpark, Read, TABLE, Union, VIEW, materializedviews, memorymanager
>
> I would like to report an issue in pySpark 2.2.0 when it is used to read hive views that contain UNION ALL operator.
>
> I attach the error:
> WARN memory.TaskMemoryManager: Failed to allocate a page (67108864 bytes), try again.
>
> Is there any solution different from materializing this view?
> Thanks,
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