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https://issues.apache.org/jira/browse/SOLR-16838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17738011#comment-17738011
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Jan Høydahl commented on SOLR-16838:
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A fix was merged in Lucene: [https://github.com/apache/lucene/pull/12357] which
was released in Lucene 9.7 two days ago:
[https://lucene.apache.org/core/9_7_0/changes/Changes.html#v9.7.0.optimizations]
Thus Solr is released with Lucene 9.7 (hopefully in 9.3, see SOLR-16853), this
may hopefully improve.
[[email protected]] would you be able to test a 9.3.0-SNAPSHOT version of
Solr in your environment once we have one available with the fix?
> 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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