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https://issues.apache.org/jira/browse/SOLR-17699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17936506#comment-17936506
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ASF subversion and git services commented on SOLR-17699:
--------------------------------------------------------

Commit 01e1d917d9a032d705322a805d7bf3906aeef11a in solr's branch 
refs/heads/branch_9x from David Smiley
[ https://gitbox.apache.org/repos/asf?p=solr.git;h=01e1d917d9a ]

SOLR-17699: Fix {!frange} perf regression in disjunction (#3259)

Since 9.0 with "frange" function queries when in a disjunction (OR).  
TwoPhaseIterator must be used; was iterating all docs instead.

(cherry picked from commit ac74ced99e288f74a18655ec4cd2f205b976ca54)


> High Query Time in Solr When Using OR with frange in fq
> -------------------------------------------------------
>
>                 Key: SOLR-17699
>                 URL: https://issues.apache.org/jira/browse/SOLR-17699
>             Project: Solr
>          Issue Type: Bug
>      Security Level: Public(Default Security Level. Issues are Public) 
>    Affects Versions: 9.0, 9.6.1
>            Reporter: Puneet Sharma
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> h3. High Query Time in Solr When Using {{OR}} with {{frange}} in {{fq}}
> I am experiencing high query times in Solr when using an {{fq}} filter that 
> combines an {{OR}} condition with {{{}frange{}}}. The response time 
> significantly increases compared to queries that do not use this combination.
> h4. Query Example
>  
> {{fq=\{!cache=false tag=prm}field:value OR \{!frange l=1 u=1 v=$funcQuery}}}
> Here, {{$funcQuery}} is a function query that retrieves documents dynamically 
> based on dynamic parameters.
> h4. Observations
>  * When I use just {{{}{!frange l=1 u=1 v=$funcQuery}{}}}, the query executes 
> quickly[20ms].
>  * When I use {{{!cache=false tag=prm}field:value}} alone, the query is also 
> fast.
>  * However, when combining both with {{{}OR{}}}, the query time increases 
> significantly [700ms].
>  * The dataset is relatively large, but other queries with similar complexity 
> run efficiently.
> h4. Questions
>  # Why does the {{OR}} operation with {{frange}} cause a significant increase 
> in query time?
>  # Are there any optimizations or alternative query structures that could 
> improve performance?
>  # Would it help to restructure how function queries and filters are applied 
> in this case?
>  # Is there any alternative for frange for this use case because in our use 
> case, this cannot be done at index time because the function parameters 
> change very frequently?
> Any insights or suggestions would be greatly appreciated!



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