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https://issues.apache.org/jira/browse/LUCENE-10171?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17503082#comment-17503082
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ASF subversion and git services commented on LUCENE-10171:
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Commit 8afec33e747ec81c2301a4b099bd26b4195a556e in lucene's branch 
refs/heads/main from Spyros Kapnissis
[ https://gitbox.apache.org/repos/asf?p=lucene.git;h=8afec33 ]

LUCENE-10171: OpenNLPOpsFactory should directly cache DictionaryLemmatizer 
objects (#380)

Instead of caching dictionary strings and building multiple redundant 
DictionaryLemmatizer objects.

Co-authored-by: Michael Gibney <mich...@michaelgibney.net>

> Caching issue on dictionary-based OpenNLPLemmatizerFilterFactory
> ----------------------------------------------------------------
>
>                 Key: LUCENE-10171
>                 URL: https://issues.apache.org/jira/browse/LUCENE-10171
>             Project: Lucene - Core
>          Issue Type: Bug
>          Components: modules/analysis
>    Affects Versions: 9.0, 7.7.3, 8.10
>            Reporter: Spyros Kapnissis
>            Priority: Major
>          Time Spent: 4h
>  Remaining Estimate: 0h
>
> When providing a lemmas.txt dictionary file, OpenNLPLemmatizerFilterFactory 
> caches internally only the string format of the dictionary, and not the 
> DictionaryLemmatizer object. This results in parsing and creating a new 
> DictionaryLemmatizer object every time the 
> OpenNLPLemmatizerFilterFactory.create() is called.
> In our case, with a large lemmas.txt file (5MB) and the 
> OpenNLPLemmatizerFilter used in many fields across our setup and in multiple 
> collections (we use Solr), we had several random OOM issues and generally 
> high server load due to GC activity. After heap dump analysis we noticed few 
> thousands of DictionaryLemmatizer instances of around 80MB each.
> By switching the caching to the DictionaryLemmatizer instead of the String, 
> we were able to resolve these issues. I will be attaching a PR for review, 
> please let me know of any comments.
> Thanks!



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