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https://issues.apache.org/jira/browse/SPARK-22613?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16308019#comment-16308019
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Apache Spark commented on SPARK-22613:
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User 'vinodkc' has created a pull request for this issue:
https://github.com/apache/spark/pull/20134
> Make UNCACHE TABLE behaviour consistent with CACHE TABLE
> --------------------------------------------------------
>
> Key: SPARK-22613
> URL: https://issues.apache.org/jira/browse/SPARK-22613
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, SQL
> Affects Versions: 2.2.0
> Reporter: Andreas Maier
> Priority: Minor
>
> The Spark SQL function CACHE TABLE is eager by default. Therefore it offers
> an optional keyword LAZY in case you do not want to cache the complete table
> immediately (See
> https://docs.databricks.com/spark/latest/spark-sql/language-manual/cache-table.html).
> But the corresponding Spark SQL function UNCACHE TABLE is lazy by default
> and doesn't offer an option EAGER (See
> https://docs.databricks.com/spark/latest/spark-sql/language-manual/uncache-table.html,
>
> https://stackoverflow.com/questions/47226494/is-uncache-table-a-lazy-operation-in-spark-sql).
> So one cannot cache and uncache a table in an eager way using Spark SQL.
> As a user I want an option EAGER for UNCACHE TABLE. An alternative could be
> to change the behaviour of UNCACHE TABLE to be eager by default (consistent
> with CACHE TABLE) and then offer an option LAZY also for UNCACHE TABLE.
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