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https://issues.apache.org/jira/browse/SLING-11251?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17518893#comment-17518893
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Robert Munteanu commented on SLING-11251:
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Thanks for the report [~artika4biz]. Is the script something you can share? I
suspect it will be easier to reproduce for us this way.
> Apache Sling Post Servlet consumes too much resources during content ingestion
> ------------------------------------------------------------------------------
>
> Key: SLING-11251
> URL: https://issues.apache.org/jira/browse/SLING-11251
> Project: Sling
> Issue Type: Bug
> Components: Servlets
> Affects Versions: Starter 12
> Environment: Mac OS, OpenJDK 1.8, Intel I9, 16gb RAM.
> Reporter: Yuri Simione
> Priority: Major
> Attachments: image-2022-04-05-09-09-08-725.png,
> image-2022-04-05-09-19-55-925.png
>
>
> I am testing performances of Apache Sling 12, configured with Oak Segment
> Store, started with the -Xmx4g parameter. I'm using a multi-threaded Python
> script (I tried with 30 threads down to 5 concurrent threads). The tool loads
> thousands of contents on new oak:Unstructured nodes using the standard
> {*}Sling POST servlet{*}. Before to start the import I stopped the Lucene
> bundle. Initially performances are good (about 200 new documents/sec). Soon,
> after the tool has ingested about 20k new nodes, the speed drops to a few
> nodes per second. I analyzed the JVM and noticed that the memory allocated
> for some threads grows by several GBs without ever going down (see attached
> images). If I stop the import tool, the situation does not change. The only
> way to solve this problem is to turn off the Sling instance and restart it.
> Is it normal for threads and in particular for the threads that implement the
> POST servlet, to acquire resources that are never released? I am available to
> reproduce this issue during a Teams / Google Meet.
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