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https://issues.apache.org/jira/browse/OAK-10549?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17787939#comment-17787939
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Thomas Mueller commented on OAK-10549:
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To avoid OOME when running the tests, I changed the test case to use only 10
facets:
https://github.com/apache/jackrabbit-oak/commit/79ac7fd718b1abb495635cec38f9887a4a2b9219
With 200 facets, the test required 190 MB (-mx190m); with 10 facets, only 25 MB.
> Improve performance of facet count at scale (Lucene)
> ----------------------------------------------------
>
> Key: OAK-10549
> URL: https://issues.apache.org/jira/browse/OAK-10549
> Project: Jackrabbit Oak
> Issue Type: Improvement
> Components: lucene, query
> Reporter: Thomas Mueller
> Assignee: Thomas Mueller
> Priority: Major
> Fix For: 1.60.0
>
>
> Currently, reading many facets (eg. 20) at a time is quite slow when using a
> Lucene index. We already cache the data, but performance is not all that
> great. One of the reasons is that we run one Lucene query per facet column.
> It is possible to speed this up, using eager facet caching.
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