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https://issues.apache.org/jira/browse/LUCENE-10562?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17542982#comment-17542982
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Tomoko Uchida commented on LUCENE-10562:
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Hi,
I would also recommend you not to use wildcard query, and reconsider the
analysis though... if you can't or don't want to reindex the whole data and the
"filter" part returns a really small result (~100, maybe?), you could consider
a two-stage search? For example, run the first stage search to get the filtered
results with 'status':'open', then index the results into an on-the-fly,
ephemeral index backed by ByteBufferesDirectory, then perform the second search
to get the final result you want. I'm not sure it works well for your
data/application and there is apparently performance overhead, just remember
it's occasionally useful to implement such a two-phase strategy (for me).
> Large system: Wildcard search leads to full index scan despite filter query
> ---------------------------------------------------------------------------
>
> Key: LUCENE-10562
> URL: https://issues.apache.org/jira/browse/LUCENE-10562
> Project: Lucene - Core
> Issue Type: Bug
> Components: core/search
> Affects Versions: 8.11.1
> Reporter: Henrik Hertel
> Priority: Major
> Labels: performance
>
> I use Solr and have a large system with 1TB in one core and about 5 million
> documents. The textual content of large PDF files is indexed there. My query
> is extremely slow (more than 30 seconds) as soon as I use wildcards e.g.
> {code:java}
> *searchvalue*
> {code}
> , even though I put a filter query in front of it that reduces to less than
> 20 documents.
> searchvalue -> less than 1 second
> searchvalue* -> less than 1 second
> My query:
> {code:java}
> select?defType=lucene&q=content_t:*searchvalue*&fq=metadataitemids_is:20950&fl=id&rows=50&start=0
> {code}
> I've tried everything imaginable. It doesn't make sense to me why a search
> over a small subset should take so long. If I omit the filter query
> metadataitemids_is:20950, so search the entire inventory, then it also takes
> the same amount of time. Therefore, I suspect that despite the filter query,
> the main query runs over the entire index.
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