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https://issues.apache.org/jira/browse/SOLR-5973?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-5973:
---------------------------------

    Description: 
This ticket introduces a new RankQuery and MergeStrategy to Solr. By extending 
the RankQuery class, and implementing it's interface, you can specify a custom 
ranking collector (TopDocsCollector) and distributed merge strategy for a Solr 
query. 



Sample syntax:

{code}
q=hello&rq={!customRank param1=a param2=b}&wt=json&indent=true
{code}
In the sample above the param: {code}rq={!customRank  param1=a param2=b}{code} 
points to a QParserPlugin that returns a Query that extends RankQuery.  The 
RankQuery defines the custom ranking and merge strategy for the main query.

The RankQuery impl will have to do several things:

1) Implement the getTopDocsCollector() method to return a custom top docs 
ranking collector.
2) Implement the wrap() method. The QueryComponent calls the wrap() method to 
wrap the RankQuery around the main query. This design allows the RankQuery to 
manage Query caching issues and implement custom Query explanations if needed.
3)  Implement hashCode() and equals() so the queryResultCache works properly 
with main query and custom ranking algorithm.
 4) Optionally implement a custom MergeStrategy to handle the merging of 
distributed results from the shards.




  was:
This ticket introduces a new RankQuery and MergeStrategy to Solr. By extending 
the RankQuery class, and implementing it's interface, you can specify a custom 
ranking collector (TopDocsCollector) and distributed merge strategy for a Solr 
query. 



Sample syntax:

{code}
q={!customRank subquery=*:* param1=a param2=b}&wt=json&indent=true
{code}
In the sample above the param: {code}q={!customRank  subquery=*:* param1=a 
param2=b}{code} points to a QParserPlugin that returns a Query that extends 
RankQuery.  The RankQuery defines the custom ranking and merge strategy for 
it's  subquery.

The RankQuery impl will have to do several things:

1) Implement the RankQuery interface.
2) Wrap the subquery and proxy all calls to the Query interface to the 
subquery. Using local params syntax the subquery can be any valid Solr query. 
The custom QParserPlugin is responsible for parsing the subquery.
3)  Implement hashCode() and equals() so the queryResultCache works properly 
with subquery and custom ranking algorithm. 





> Pluggable Ranking Collectors and Merge Strategies
> -------------------------------------------------
>
>                 Key: SOLR-5973
>                 URL: https://issues.apache.org/jira/browse/SOLR-5973
>             Project: Solr
>          Issue Type: New Feature
>          Components: search
>            Reporter: Joel Bernstein
>            Assignee: Joel Bernstein
>            Priority: Minor
>             Fix For: 4.9
>
>         Attachments: SOLR-5973.patch, SOLR-5973.patch, SOLR-5973.patch, 
> SOLR-5973.patch, SOLR-5973.patch, SOLR-5973.patch, SOLR-5973.patch, 
> SOLR-5973.patch, SOLR-5973.patch, SOLR-5973.patch, SOLR-5973.patch, 
> SOLR-5973.patch, SOLR-5973.patch, SOLR-5973.patch, SOLR-5973.patch, 
> SOLR-5973.patch
>
>
> This ticket introduces a new RankQuery and MergeStrategy to Solr. By 
> extending the RankQuery class, and implementing it's interface, you can 
> specify a custom ranking collector (TopDocsCollector) and distributed merge 
> strategy for a Solr query. 
> Sample syntax:
> {code}
> q=hello&rq={!customRank param1=a param2=b}&wt=json&indent=true
> {code}
> In the sample above the param: {code}rq={!customRank  param1=a 
> param2=b}{code} points to a QParserPlugin that returns a Query that extends 
> RankQuery.  The RankQuery defines the custom ranking and merge strategy for 
> the main query.
> The RankQuery impl will have to do several things:
> 1) Implement the getTopDocsCollector() method to return a custom top docs 
> ranking collector.
> 2) Implement the wrap() method. The QueryComponent calls the wrap() method to 
> wrap the RankQuery around the main query. This design allows the RankQuery to 
> manage Query caching issues and implement custom Query explanations if needed.
> 3)  Implement hashCode() and equals() so the queryResultCache works properly 
> with main query and custom ranking algorithm.
>  4) Optionally implement a custom MergeStrategy to handle the merging of 
> distributed results from the shards.



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