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https://issues.apache.org/jira/browse/LUCENE-10207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17435115#comment-17435115
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Robert Muir commented on LUCENE-10207:
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{quote}
Should we try to take deletions into account at all? Because a PK field with
deletions will look like it is not "precisely" PK based on the aggregate stats.
Though I suppose even with e.g. 50% deletions in the index, this proposed cost
metric is close enough.
{quote}
Deletions are irrelevant, term statistics don't reflect deletions. If the same
term is in segmentM (and its doc deleted) and then its also in segmentN (with
the updated doc), it causes no issue for the proposed estimation here because
the stats are per-segment.
> 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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