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https://issues.apache.org/jira/browse/LUCENE-1518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12671851#action_12671851
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Michael McCandless commented on LUCENE-1518:
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At first blush, this patch seems backwards: shouldn't the base class
be a Filter (which does "pure matching" with no scoring) and then
subclass of that (Query) would add in scoring?
But, then I think I appreciate why we did this: it's because we accept
Query all over the place now, so it's a far less disruptive change to
have Filter be the subclass.
Or... we might want to allow scoring without matching, so maybe they
should be fully independent?
EG when I want to dynamically boost relevance scores (eg by recency,
popularity, personalizaztion, etc.), I would want to make a "pure
scorer" that has absolutely no matching role, whose score gets "mixed
in" based on the sub-query's boost.
ValueSourceQuery is an example: it has a "degenerate" matcher (matches
all docs) whose only purpose is to produce custom per-doc scoring.
Shouldn't I be able to add a "purer scorer" (no matching) as a clause
onto BooleanQuery?
> 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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