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https://issues.apache.org/jira/browse/SPARK-24295?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16638635#comment-16638635
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Iqbal Singh commented on SPARK-24295:
-------------------------------------

hey [~XuanYuan], 

DO we have any plans of pulling this one in coming versions, this is really a 
pain in long running high volume queries.

> Purge Structured streaming FileStreamSinkLog metadata compact file data.
> ------------------------------------------------------------------------
>
>                 Key: SPARK-24295
>                 URL: https://issues.apache.org/jira/browse/SPARK-24295
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 2.3.0
>            Reporter: Iqbal Singh
>            Priority: Major
>
> FileStreamSinkLog metadata logs are concatenated to a single compact file 
> after defined compact interval.
> For long running jobs, compact file size can grow up to 10's of GB's, Causing 
> slowness  while reading the data from FileStreamSinkLog dir as spark is 
> defaulting to the "__spark__metadata" dir for the read.
> We need a functionality to purge the compact file size.
>  



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