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https://issues.apache.org/jira/browse/LUCENE-7641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Adrien Grand updated LUCENE-7641:
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Description:
If a point range matches most documents and every document has exactly one
value, then we could make things faster by computing the set of documents that
do NOT match the range instead.
It was not possible until recently since figuring out whether a range query
matches most documents was not possible, but we can now use the new
{{PointValues.estimatePointcount}} API to do that: we could just check whether
the cost of the inverse visitor is lower than the cost of the regular range
visitor.
was:
If a point range matches most documents and every document has exactly one
value, then we could make things faster by computing the set of documents that
do NOT match the range instead.
It was not possible until recently since figuring out whether a range query
matches most documents was not possible, but we can now use the new
{{ScorerSupplier.cost}} API to do that: we could just check whether the cost of
the inverse visitor is lower than the cost of the regular range visitor.
> Speed up point ranges that match most documents
> -----------------------------------------------
>
> Key: LUCENE-7641
> URL: https://issues.apache.org/jira/browse/LUCENE-7641
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Assignee: Adrien Grand
> Priority: Minor
> Attachments: LUCENE-7461.patch
>
>
> If a point range matches most documents and every document has exactly one
> value, then we could make things faster by computing the set of documents
> that do NOT match the range instead.
> It was not possible until recently since figuring out whether a range query
> matches most documents was not possible, but we can now use the new
> {{PointValues.estimatePointcount}} API to do that: we could just check
> whether the cost of the inverse visitor is lower than the cost of the regular
> range visitor.
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