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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-24889) dataset.unpersist() doesn't update storage memory stats
Date Wed, 05 Sep 2018 10:12:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-24889?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16604225#comment-16604225
] 

Apache Spark commented on SPARK-24889:
--------------------------------------

User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/22341

> dataset.unpersist() doesn't update storage memory stats
> -------------------------------------------------------
>
>                 Key: SPARK-24889
>                 URL: https://issues.apache.org/jira/browse/SPARK-24889
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.3.0
>            Reporter: Yuri Bogomolov
>            Priority: Major
>         Attachments: image-2018-07-23-10-53-58-474.png
>
>
> Steps to reproduce:
> 1) Start a Spark cluster, and check the storage memory value from the Spark Web UI "Executors"
tab (it should be equal to zero if you just started)
> 2) Run:
> {code:java}
> val df = spark.sqlContext.range(1, 1000000000)
> df.cache()
> df.count()
> df.unpersist(true){code}
> 3) Check the storage memory value again, now it's equal to 1GB
>  
> Looks like the memory is actually released, but stats aren't updated. This issue makes
cluster management more complicated.
> !image-2018-07-23-10-53-58-474.png!



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