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https://issues.apache.org/jira/browse/SOLR-17699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17934514#comment-17934514
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David Smiley commented on SOLR-17699:
-------------------------------------

When you tried just the {{frange}} alone in a fq and said it was fast, did you 
disable the cache on it as well with {{{}cache=false{}}}?

Frange is a little special in that it is a so-called "PostFilter" in Solr, 
which activates when it's by itself in a filter query.  It's fairly efficient, 
only needing to process the documents that passed through the rest of the 
search (whatever that is).  But if it's *not* by itself, then ideally it 
wouldn't make much difference... but... okay I see a bug; I'll post a small fix 
soon

> 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: 9.6.1
>            Reporter: Puneet Sharma
>            Priority: Major
>
> 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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