[jira] [Commented] (SPARK-4495) Memory leak in JobProgressListener due to `spark.ui.retainedJobs` not being used

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14218653#comment-14218653 ] 

Apache Spark commented on SPARK-4495:
-------------------------------------

User 'JoshRosen' has created a pull request for this issue:
https://github.com/apache/spark/pull/3372

> Memory leak in JobProgressListener due to `spark.ui.retainedJobs` not being used
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-4495
>                 URL: https://issues.apache.org/jira/browse/SPARK-4495
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.2.0
>            Reporter: Josh Rosen
>            Assignee: Josh Rosen
>            Priority: Blocker
>
> In the JobProgressListener, we never actually remove jobs from the jobIdToData map. In fact, there's a somewhat embarrassing typo: _retailed_ jobs:
> {code}
>   val retailedJobs = conf.getInt("spark.ui.retainedJobs", DEFAULT_RETAINED_JOBS)
> {code}
> This was introduced by my patch for [SPARK-2321]: I should have added a test that set {{spark.ui.retainedJobs}} to some low threshold and checked that we only reported information for that many jobs; there was already a corresponding "test LRU eviction of stages" test that I should have just copied and modified.
> This only affects the unreleased 1.2.0 version.



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