[jira] [Closed] (SPARK-28712) spark structured stream with kafka don't really delete temp files in spark standalone cluster

["凭落 (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-28712?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

凭落 closed SPARK-28712.
----------------------

solved by SPARK-28025 

> 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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