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https://issues.apache.org/jira/browse/SPARK-28712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16910956#comment-16910956
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凭落 commented on SPARK-28712:
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[~hyukjin.kwon] I'm sorry about it, next time I'll use mail list first.
> spark structured stream with kafka don't really delete temp files in spark
> standalone cluster
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-28712
> URL: https://issues.apache.org/jira/browse/SPARK-28712
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.4.3
> Environment: redhat 7
> jdk 1.8
> scala 2.11.12
> spark standalone cluster 2.4.3
> kafka 0.10.2.1
>
> Reporter: 凭落
> Priority: Major
>
> the folder in Driver
> {noformat}
> /tmp/temporary-xxxxxxxx{noformat}
> takes up all the space in /tmp after runing spark structured stream job a
> long time.
> it is mainly under the offsets and commits folders.but when I watch it by us
> command
> {noformat}
> du -sh offsets du -sh commits{noformat}
> it got more than 600M,but when We use command
> {noformat}
> ll -h offsets ll -h commits{noformat}
> it got 400K.
> I think it is because when the file is deleted,it is still used in job.
> It wasn't released only if the job is stopped.
> How can I solve it?
> We use
> {code}
> df.writeStream.trigger(ProcessingTime("1 seconds"))
> {code}
> not
> {code}
> df.writeStream.trigger(Continuous("1 seconds"))
> {code}
> Is there something wrong here?
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