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https://issues.apache.org/jira/browse/LUCENE-10207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17435292#comment-17435292
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Robert Muir commented on LUCENE-10207:
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Also the current-stupid-thousands-of-brute-force-seekExacts-per-segment is
clearly going to be worse on docvalues term dictionary, which is the one under
discussion. There the seekExact and seekCeil have essentially the same cost.
Maybe you didn't implement the ping-pong correctly on the iterator side when
trying it out? This stuff is a bit tricky. We can probably improve it a bit
more later too if we added a seekCeil() to PrefixCodedTerms's Iterator class.
> Make TermInSetQuery usable with IndexOrDocValuesQuery
> -----------------------------------------------------
>
> Key: LUCENE-10207
> URL: https://issues.apache.org/jira/browse/LUCENE-10207
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Priority: Minor
> Attachments: LUCENE-10207_multitermquery.patch
>
>
> IndexOrDocValuesQuery is very useful to pick the right execution mode for a
> query depending on other bits of the query tree.
> We would like to be able to use it to optimize execution of TermInSetQuery.
> However IndexOrDocValuesQuery only works well if the "index" query can give
> an estimation of the cost of the query without doing anything expensive (like
> looking up all terms of the TermInSetQuery in the terms dict). Maybe we could
> implement it for primary keys (terms.size() == sumDocFreq) by returning the
> number of terms of the query? Another idea is to multiply the number of terms
> by the average postings length, though this could be dangerous if the field
> has a zipfian distribution and some terms have a much higher doc frequency
> than the average.
> [~romseygeek] and I were discussing this a few weeks ago, and more recently
> [~mikemccand] and [~gsmiller] again independently. So it looks like there is
> interest in this. Here is an email thread where this was recently discussed:
> https://lists.apache.org/thread.html/re3b20a486c9a4e66b2ca4a2646e2d3be48535a90cdd95911a8445183%40%3Cdev.lucene.apache.org%3E.
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