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https://issues.apache.org/jira/browse/SPARK-24295?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16777240#comment-16777240
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Jungtaek Lim commented on SPARK-24295:
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[~alfredo-gimenez-bv]
Unfortunately no, cause I don't think metadata on file stream sink can be
reliably purged as I explained earlier. My PR resolves the issue, but also
breaks the internal of metadata, so have to bring some bad option too.
Btw, there's another concern SPARK-26411 which you may be interested to
consider about it.
> 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
> Attachments: spark_metadatalog_compaction_perfbug_repro.tar.gz
>
>
> 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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