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https://issues.apache.org/jira/browse/LUCENE-7588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15807272#comment-15807272
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Emmanuel Keller commented on LUCENE-7588:
-----------------------------------------
The test expects that the retrieved ScoreDoc array is ordered. In this test,
the score are identical for all documents.
As we are using a multithreaded map/reduce design we can't expect that the
order will be preserved.
[~mikemccand] am I right ?
IMHO, the equality check must be modified to only check that the document are
present with the same score.
{code:java}
for (int i = 0; i < expected.hits.size(); i++) {
if (VERBOSE) {
System.out.println(" hit " + i + " expected=" +
expected.hits.get(i).id);
}
assertEquals(expected.hits.get(i).id,
s.doc(actual.hits.scoreDocs[i].doc).get("id"));
// Score should be IDENTICAL:
assertEquals(scores.get(expected.hits.get(i).id),
actual.hits.scoreDocs[i].score, 0.0f);
}
{code}
> A parallel DrillSideways implementation
> ---------------------------------------
>
> Key: LUCENE-7588
> URL: https://issues.apache.org/jira/browse/LUCENE-7588
> Project: Lucene - Core
> Issue Type: Improvement
> Affects Versions: master (7.0), 6.3.1
> Reporter: Emmanuel Keller
> Priority: Minor
> Labels: facet, faceting
> Fix For: master (7.0), 6.4
>
> Attachments: LUCENE-7588.patch
>
>
> Currently DrillSideways implementation is based on the single threaded
> IndexSearcher.search(Query query, Collector results).
> On large document set, the single threaded collection can be really slow.
> The ParallelDrillSideways implementation could:
> 1. Use the CollectionManager based method IndexSearcher.search(Query query,
> CollectorManager collectorManager) to get the benefits of multithreading on
> index segments,
> 2. Compute each DrillSideway subquery on a single thread.
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