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https://issues.apache.org/jira/browse/SPARK-26570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16950276#comment-16950276
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fengchaoge commented on SPARK-26570:
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hello, [~deshanxiao] [~srowen] spark2.4.3 may also have the same problems. Our
sql program runs stably on spark2.1.0, generating about 70,000 tasks . After
migrating to spark2.4.3, the memory overflows directly. Driver logs like
this：java.lang.OutOfMemoryError: GC overhead limit exceeded. The jstack log is
shown below, may be all serializable file statuses collected.
_!image-2019-10-13-18-41-22-090.png!_
!image-2019-10-13-18-45-33-770.png!
> Out of memory when InMemoryFileIndex bulkListLeafFiles
> ------------------------------------------------------
>
> Key: SPARK-26570
> URL: https://issues.apache.org/jira/browse/SPARK-26570
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.2
> Reporter: deshanxiao
> Priority: Major
> Attachments: image-2019-10-13-18-41-22-090.png, screenshot-1.png
>
>
> The *bulkListLeafFiles* will collect all filestatus in memory for every query
> which may cause the oom of driver. I use the spark 2.3.2 meeting with the
> problem. Maybe the latest one also exists the problem.
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