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https://issues.apache.org/jira/browse/SPARK-22988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-22988.
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Resolution: Invalid
Usually, questions are encouraged to go to mailing list. Let's ask a question
there - https://spark.apache.org/community.html. I believe you could have a
better answer.
> Why does dataset's unpersist clear all the caches have the same logical plan?
> -----------------------------------------------------------------------------
>
> Key: SPARK-22988
> URL: https://issues.apache.org/jira/browse/SPARK-22988
> Project: Spark
> Issue Type: Question
> Components: Spark Core
> Affects Versions: 2.1.1
> Reporter: Wang Cheng
> Priority: Minor
>
> When I do followings:
> dataset A = some dataset
> A.persist
> dataset B = A.doSomthing
> dataset C = A.doSomthing
> C.persist
> A.unpersist
> I found C's cache is removed too, since following code:
> def uncacheQuery(spark: SparkSession, plan: LogicalPlan, blocking: Boolean):
> Unit = writeLock {
> val it = cachedData.iterator()
> while (it.hasNext) {
> val cd = it.next()
> if (cd.plan.find(_.sameResult(plan)).isDefined) {
> cd.cachedRepresentation.cachedColumnBuffers.unpersist(blocking)
> it.remove()
> }
> }
> }
> It removes the data caches contain the same logical plan, should it only
> remove the cache whose dataset calls unpersist method?
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