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https://issues.apache.org/jira/browse/SOLR-16858?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17798675#comment-17798675
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Alessandro Benedetti commented on SOLR-16858:
---------------------------------------------

I also agree with David, few people know that to run post-filtering you need 
the cache/cost parameter combination (actually I think many Solr guys don't 
even know post-filtering is a thing).
A new parameter would make a lot of sense, probably not an urgent priority, for 
sure un-related with vector-based search, but still relevant ([~dsmiley]feel 
free to create a Jira if you want someone to tackle it sooner or later)

> Allow KnnQParser to selectively apply filters
> ---------------------------------------------
>
>                 Key: SOLR-16858
>                 URL: https://issues.apache.org/jira/browse/SOLR-16858
>             Project: Solr
>          Issue Type: Bug
>            Reporter: Joel Bernstein
>            Assignee: Chris M. Hostetter
>            Priority: Major
>              Labels: hybrid-search
>         Attachments: SOLR-16858-1.patch, SOLR-16858.patch
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> The KnnQParser is parsing the filter query which limits the rows considered 
> by the vector query with the following method:
> {code:java}
> private Query getFilterQuery() throws SolrException, SyntaxError {
>     boolean isSubQuery = recurseCount != 0;
>     if (!isFilter() && !isSubQuery) {
>       String[] filterQueries = req.getParams().getParams(CommonParams.FQ);
>       if (filterQueries != null && filterQueries.length != 0) {
>         try {
>           List<Query> filters = QueryUtils.parseFilterQueries(req);
>           SolrIndexSearcher.ProcessedFilter processedFilter =
>               req.getSearcher().getProcessedFilter(filters);
>           return processedFilter.filter;
>         } catch (IOException e) {
>           throw new SolrException(SolrException.ErrorCode.SERVER_ERROR, e);
>         }
>       }
>     }
>     return null;
>   }
> {code}
> This is pulling all filter queries from the main query parameters and using 
> them to limit the vector query. This is the automatic behavior of the 
> KnnQParser.
> There are cases where you may want to selectively apply different filters. 
> One such case is SOLR-16857 which involves reRanking a collapsed query.
> Overriding the default filter behavior could be done by adding an "fq" local 
> parameter to the KnnQParser which would override the default filtering 
> behavior.
> {code:java}
> {!knn f=vector topK=10 fq=$kfq}[...]&kfq=myquery
> {code}



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