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https://issues.apache.org/jira/browse/SOLR-16838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17730857#comment-17730857
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Shawn Heisey commented on SOLR-16838:
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[~rahul196...@gmail.com] I'm going to ask what I'm sure a lot of us are
thinking: Why are you running such a large-scale system on Windows?
I've never heard of the mmap issues you mentioned on Windows being a problem on
Linux. Or any of the other free and non-free *NIX operating systems.
At {{$WORK}} we have Linux systems running proprietary software that's
developed in-house. One of the installs of this software has over 50 terabytes
of data accessed via MMAP without problems. The system it runs on has 512GB of
memory. That system is CentOS 7. I personally prefer Ubuntu.
> Atomic updates too slow in Solr 8 vs Solr 7
> -------------------------------------------
>
> Key: SOLR-16838
> URL: https://issues.apache.org/jira/browse/SOLR-16838
> Project: Solr
> Issue Type: Bug
> Security Level: Public(Default Security Level. Issues are Public)
> Components: SearchComponents - other
> Affects Versions: 8.11.1
> Reporter: Rahul Goswami
> Priority: Major
> Labels: RTG, RealTimeGet, atomicupdate
>
> Started experiencing slowness with updates in production after upgrading from
> Solr 7.7.2 to 8.11.1. Upon comparing the performance it turns out that
> indexing 20 million docs via atomic updates through the same client program
> (running 15 parallel threads indexing in batches of 1000) takes below time:
>
> Solr 7 : 78 mins
> Solr 8: 370 mins
>
> Environment details:
> - Java 11 on Windows server
> - Xms1536m Xmx3072m
> - Indexing client code running 15 parallel threads indexing in batches of 1000
> - using SimpleFSDirectoryFactory (since Mmap doesn't quite work well on
> Windows for our index sizes which commonly run north of 1 TB)
>
> Looking at the thread dump, the bottleneck seems to be RealTimeGet and I can
> see that Solr 7 takes a different code path than Solr 8. Note that the
> performance of regular updates (non-atomic) is still pretty good on Solr 8
> completing in < 1 hour for the same 20 million data set.
>
> Sharing the indexing code, solrconfig, schema and thread dumps in the link
> below:
> [https://drive.google.com/drive/folders/1q2DPNTYQEU6fi3NeXIKJhaoq3KPnms0h?usp=sharing]
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