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https://issues.apache.org/jira/browse/SPARK-21121?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16051910#comment-16051910
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Apache Spark commented on SPARK-21121:
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User 'dosoft' has created a pull request for this issue:
https://github.com/apache/spark/pull/18328
> Set up StorageLevel for CACHE TABLE command
> -------------------------------------------
>
> Key: SPARK-21121
> URL: https://issues.apache.org/jira/browse/SPARK-21121
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 2.1.1
> Reporter: Oleg Danilov
> Priority: Minor
>
> Currently, "CACHE TABLE" always uses the default MEMORY_AND_DISK storage
> level. We can add a possibility to specify it using variable, let say,
> spark.sql.inMemoryColumnarStorage.level. It will give user a chance to fit
> data into the memory with using MEMORY_AND_DISK_SER storage level.
> Going to submit PR for this change.
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