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https://issues.apache.org/jira/browse/LUCENE-9335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17319860#comment-17319860
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Zach Chen commented on LUCENE-9335:
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{quote}bq.DisjunctionMaxScorer
It should be DisjunctionSumScorer if we want to get the same scoring
(DisjunctionSumScorer sums up scores of the clauses while DisjunctionMaxScorer
takes the max).
Can you run the benchmark with verifyCounts=False like we do for nightlies so
that it would only check top hits?
https://github.com/mikemccand/luceneutil/blob/fbc9ae15a1bb47f7e15c95fb70f1bda57faccfc1/src/python/nightlyBench.py#L822{quote}
Ah I was wondering about the nightly benchmark before, and I see now why
Michael suggested the top N hit verification above. Let me give that a try. I
didn't use DisjunctionSumScorer earlier as I see it seems to be missing some
block related method implementation, but I will use that to run the latest
benchmark as well.
> Add a bulk scorer for disjunctions that does dynamic pruning
> ------------------------------------------------------------
>
> Key: LUCENE-9335
> URL: https://issues.apache.org/jira/browse/LUCENE-9335
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Priority: Minor
>
> Lucene often gets benchmarked against other engines, e.g. against Tantivy and
> PISA at [https://tantivy-search.github.io/bench/] or against research
> prototypes in Table 1 of
> [https://cs.uwaterloo.ca/~jimmylin/publications/Grand_etal_ECIR2020_preprint.pdf].
> Given that top-level disjunctions of term queries are commonly used for
> benchmarking, it would be nice to optimize this case a bit more, I suspect
> that we could make fewer per-document decisions by implementing a BulkScorer
> instead of a Scorer.
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