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https://issues.apache.org/jira/browse/LUCENE-6294?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14340661#comment-14340661
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Shikhar Bhushan edited comment on LUCENE-6294 at 2/27/15 7:25 PM:
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When slicing differently than segment-per-slice, it'd probably be desirable to 
distribute segments by size across the slices, rather than all large segments 
ending up in one slice to be searched sequentially.


was (Author: shikhar):
When slicing differnetly than segment-per-slice, it'd probably be desirable to 
distribute segments by size across the slices, rather than all large segments 
ending up in one slice to be searched sequentially.

> Generalize how IndexSearcher parallelizes collection execution
> --------------------------------------------------------------
>
>                 Key: LUCENE-6294
>                 URL: https://issues.apache.org/jira/browse/LUCENE-6294
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Adrien Grand
>            Assignee: Adrien Grand
>            Priority: Trivial
>             Fix For: Trunk, 5.1
>
>         Attachments: LUCENE-6294.patch
>
>
> IndexSearcher takes an ExecutorService that can be used to parallelize 
> collection execution. This is useful if you want to trade throughput for 
> latency.
> However, this executor service will only be used if you search for top docs. 
> In that case, we will create one collector per slide and call TopDocs.merge 
> in the end. If you use search(Query, Collector), the executor service will 
> never be used.
> But there are other collectors that could work the same way as top docs 
> collectors, eg. TotalHitCountCollector. And maybe also some of our users' 
> collectors. So maybe IndexSearcher could expose a generic way to take 
> advantage of the executor service?



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