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https://issues.apache.org/jira/browse/SPARK-8602?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-8602:
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Target Version/s: (was: 1.5.0)
> Shared cached DataFrames
> ------------------------
>
> Key: SPARK-8602
> URL: https://issues.apache.org/jira/browse/SPARK-8602
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 1.4.0
> Reporter: John Muller
>
> Currently, the only way I can think of to share HiveContexts, SparkContexts,
> or cached DataFrames is to use spark-jobserver and spark-jobserver-extras:
> https://gist.github.com/anonymous/578385766261d6fa7196#file-exampleshareddf-scala
> But HiveServer2 users over plain JDBC cannot access the shared dataframe.
> Request is to add this directly to SparkSQL and treat it like a shared temp
> table Ex.
> SELECT a, b, c
> FROM TableA
> CACHE DATAFRAME
> This would be very useful for Rollups and Cubes, though I'm not sure what
> this may mean for HiveMetaStore.
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