[jira] [Commented] (LUCENE-8836) Optimize DocValues TermsDict to continue scanning from the last position when possible

["Mikhail Khludnev (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/LUCENE-8836?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16968986#comment-16968986 ] 

Mikhail Khludnev commented on LUCENE-8836:
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I'm not sure if {{SortedSetDocValues.termsEnum()}} is relevant to this? 

> Optimize DocValues TermsDict to continue scanning from the last position when possible
> --------------------------------------------------------------------------------------
>
>                 Key: LUCENE-8836
>                 URL: https://issues.apache.org/jira/browse/LUCENE-8836
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Bruno Roustant
>            Priority: Major
>              Labels: docValues, optimization
>          Time Spent: 1h 10m
>  Remaining Estimate: 0h
>
> Lucene80DocValuesProducer.TermsDict is used to lookup for either a term or a term ordinal.
> Currently it does not have the optimization the FSTEnum has: to be able to continue a sequential scan from where the last lookup was in the IndexInput. For sparse lookups (when searching only a few terms or ordinal) it is not an issue. But for multiple lookups in a row this optimization could save re-scanning all the terms from the block start (since they are delat encoded).
> This patch proposes the optimization.
> To estimate the gain, we ran 3 Lucene tests while counting the seeks and the term reads in the IndexInput, with and without the optimization:
> TestLucene70DocValuesFormat - the optimization saves 24% seeks and 15% term reads.
> TestDocValuesQueries - the optimization adds 0.7% seeks and 0.003% term reads.
> TestDocValuesRewriteMethod.testRegexps - the optimization saves 71% seeks and 82% term reads.
> In some cases, when scanning many terms in lexicographical order, the optimization saves a lot. In some case, when only looking for some sparse terms, the optimization does not bring improvement, but does not penalize neither. It seems to be worth to always have it.



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