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https://issues.apache.org/jira/browse/LUCENE-1518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12663120#action_12663120
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Eks Dev commented on LUCENE-1518:
---------------------------------

nice, 
you did it top down (api), Paul takes it bottom up (speed). 

this makes some really crazy things possible, e.g. implementing normal 
TermQuery as a "DirectFilter" and when the optimization of the BooleanQuery 
gets done (no Score calculation, direct usage of DocIdSetIterators) you can 
speed up some queries containing TermQuery  without really instantiating 
Filter. Of course only for cases where tf/idf/norm can be ignored. 

Kind of middle-ground between Filter and full ranked TermQuery (better said any 
BooleanQuery!), Faster than ranked case due to the switched off score 
calculation and more comfortable than Filter usage, no instantiation of 
DocIdSet-s... 

very nice indeed, smooth mix between ranked and "pure boolean" model with both 
benefits.  

> Merge Query and Filter classes
> ------------------------------
>
>                 Key: LUCENE-1518
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1518
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Search
>    Affects Versions: 2.4
>            Reporter: Uwe Schindler
>         Attachments: LUCENE-1518.patch
>
>
> This issue presents a patch, that merges Queries and Filters in a way, that 
> the new Filter class extends Query. This would make it possible, to use every 
> filter as a query.
> The new abstract filter class would contain all methods of 
> ConstantScoreQuery, deprecate ConstantScoreQuery. If somebody implements the 
> Filter's getDocIdSet()/bits() methods he has nothing more to do, he could 
> just use the filter as a normal query.
> I do not want to completely convert Filters to ConstantScoreQueries. The idea 
> is to combine Queries and Filters in such a way, that every Filter can 
> automatically be used at all places where a Query can be used (e.g. also 
> alone a search query without any other constraint). For that, the abstract 
> Query methods must be implemented and return a "default" weight for Filters 
> which is the current ConstantScore Logic. If the filter is used as a real 
> filter (where the API wants a Filter), the getDocIdSet part could be directly 
> used, the weight is useless (as it is currently, too). The constant score 
> default implementation is only used when the Filter is used as a Query (e.g. 
> as direct parameter to Searcher.search()). For the special case of 
> BooleanQueries combining Filters and Queries the idea is, to optimize the 
> BooleanQuery logic in such a way, that it detects if a BooleanClause is a 
> Filter (using instanceof) and then directly uses the Filter API and not take 
> the burden of the ConstantScoreQuery (see LUCENE-1345).
> Here some ideas how to implement Searcher.search() with Query and Filter:
> - User runs Searcher.search() using a Filter as the only parameter. As every 
> Filter is also a ConstantScoreQuery, the query can be executed and returns 
> score 1.0 for all matching documents.
> - User runs Searcher.search() using a Query as the only parameter: No change, 
> all is the same as before
> - User runs Searcher.search() using a BooleanQuery as parameter: If the 
> BooleanQuery does not contain a Query that is subclass of Filter (the new 
> Filter) everything as usual. If the BooleanQuery only contains exactly one 
> Filter and nothing else the Filter is used as a constant score query. If 
> BooleanQuery contains clauses with Queries and Filters the new algorithm 
> could be used: The queries are executed and the results filtered with the 
> filters.
> For the user this has the main advantage: That he can construct his query 
> using a simplified API without thinking about Filters oder Queries, you can 
> just combine clauses together. The scorer/weight logic then identifies the 
> cases to use the filter or the query weight API. Just like the query 
> optimizer of a RDB.

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