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Posted to dev@phoenix.apache.org by "Thomas D'Silva (JIRA)" <ji...@apache.org> on 2019/01/09 00:42:00 UTC
[jira] [Updated] (PHOENIX-2804) Support partition parameter or
repartition function for Spark plugin
[ https://issues.apache.org/jira/browse/PHOENIX-2804?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Thomas D'Silva updated PHOENIX-2804:
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Fix Version/s: (was: 4.15.0)
> Support partition parameter or repartition function for Spark plugin
> --------------------------------------------------------------------
>
> Key: PHOENIX-2804
> URL: https://issues.apache.org/jira/browse/PHOENIX-2804
> Project: Phoenix
> Issue Type: Improvement
> Affects Versions: 4.7.0
> Reporter: SonixLegend
> Priority: Major
> Attachments: screenshot-1.png
>
>
> When I wanna load some hurge data from phoenix to spark dataframes via phoenix spark plugin, and I had set the dataframes storage level was disk only, but if I wanna do join query data between the dataframes, the spark told me "java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE", because the spark read over 2G file per one partition. Can you add the partition parameter or override repartition function for load data via the plugin? Thanks a lot.
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