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https://issues.apache.org/jira/browse/PHOENIX-2938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15424898#comment-15424898
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Kalyan commented on PHOENIX-2938:
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Thanks Josh Mahonin for your suggestions.
i will work on these changes .. after the below bug fix.
PHOENIX-3192 : phoenix-spark dataframe issue with combination of "column family
+ column name"
otherwise i need to refactor again.
> HFile support for SparkSQL DataFrame saves
> ------------------------------------------
>
> Key: PHOENIX-2938
> URL: https://issues.apache.org/jira/browse/PHOENIX-2938
> Project: Phoenix
> Issue Type: Improvement
> Reporter: Chris Tarnas
> Assignee: Kalyan
> Priority: Minor
>
> Currently when saving a DataFrame in Spark it is persisted as upserts. Having
> an option to do saves natively via HFiles, as the MapReduce loader does,
> would be a great performance improvement for large bulk loads. The current
> work around to reduce the load on the regionservers would be to save to csv
> from Spark then load via the MapReduce loader.
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