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#16693 PR: Prevent unintended multi-segment flushes in TestLucene104ScalarQuantizedVectorFormat (#16692)
8.3 minutes ago  8 comments  0 votes  0 watches  CH-Abhinav, github-actions[bot], mccullocht
Resolves 16692 Description Follow-up to 16030: fixes test flakiness in TestLucene104ScalarQuantiz ... Under randomized test runs (e.g., seeds D9588E29B239F98E, ACA59AF04AC0B9BF, 29219F4CDF5F2122), ... IndexWriter randomly flushing multiple segments because of low randomized RAM buffers, breaking ...
    mccullocht 8.3 minutes ago:  I think you can remove all of these. I don't think the buffering options are needed, and setMergePolicy(NoMergePolicy) means that ...
    CH-Abhinav 28.5 minutes ago:  Hey, should I remove this part as well ? I remember I add this lines because basic w.forceMerge(1) sometimes didn't work. see this ` .setMaxBufferedDocs(numVectors + 1) .setRAMBufferSizeMB( ...

#16691 PR: Optimize DocValues bulk decoding using Panama widening casts (#16677)
2.4 hours ago  4 comments  0 votes  0 watches  CH-Abhinav, github-actions[bot], rmuir
Description This PR introduces SIMD bulk decoding for DocValues (8-bit, 16-bit, and 32-bit ... Currently, default scalar loops handle these widening. This PR tries to use Panama Vector API's shape-widening operations (convertShape with ...
    CH-Abhinav 2.4 hours ago:  this CI has issue in one of the randomized test which I am trying to resolve in 16693 after that ...
    CH-Abhinav 15.3 hours ago:  @rmuir redone SIMD to single VectorAPI

#16696 PR: Stop reading merged float vectors back to build the HNSW merge scorer
9.9 hours ago  10 comments  0 votes  0 watches  github-actions[bot], john-mlika, thecoop
An HNSW merge over an asymmetric scalar-quantized field writes the merged float vectors, then reads ... This change produces both quantizations in one writer walk. apache/lucene#15732 stopped the merge ... DirectIODirectory in lucene/misc supports direct I/O during merges, and there the read-back is a ...
    thecoop 9.9 hours ago:  I'm not a _big_ fan of nullable return types, does using Optional here and in the interface method ...
    thecoop 9.9 hours ago:  Should use IOUtils here (also get rid of the success boolean, and use catch blocks, as done ...

#16697 PR: Fix block-max support of DoubleValuesSource
10 hours ago  0 comments  0 votes  0 watches  easyice, github-actions[bot]
This change fixes two problems: * advanceShallow advanced the skipper on every call, including ... . * getMaxScore,getMinScore only looked at level 0 of the skipper, including when upTo was beyond ...

#16690 PR: Add a hybrid strategy for stored fields merge
19.2 hours ago  2 comments  0 votes  0 watches  github-actions[bot], rmuir, wwwa1ter
Closes 16045 # Description The stored fields merge currently falls back to a doc-by-doc copy ... This PR adds a hybrid merge strategy: contiguous ranges of live docs are collected, and - whole ... The hybrid strategy is enabled by default and can be disabled with the org.apache.lucene.codecs.luc ...
    wwwa1ter 19.2 hours ago:  > I don't think this works, we had it this way in lucene before, the problem is as soon as you get ... So it doesn't perform in practice. A deleted doc only affects its own chunk, chunks whose docs are all live can do bulk copy, only the ...
    rmuir 19.8 hours ago:  I don't think this works, we had it this way in lucene before, the problem is as soon as you get a ... So it doesn't perform in practice.

#16692: Flaky test: TestLucene104ScalarQuantizedVectorsFormat.testDataBlindNoRawFloatVectors fails when ...
1.1 days ago  0 comments  0 votes  0 watches  CH-Abhinav
Description TestLucene104ScalarQuantizedVectorsFormat.testDataBlindNoRawFloatVectors occasionally ... ContextIntroduced in 16030 ("Implement data-blind scalar quantization") where testDataBlindNoRawFloa ... `text java.lang.IllegalArgumentException: StandardDirectoryReader(segments_1:6 _0(11.0.0):c22 _1( ...

#16674: Can we speed up centroid calculation in the OSQ vector format?
1.1 days ago  3 comments  0 votes  0 watches  CH-Abhinav, kaivalnp, msokolov
Description In the OSQ based vector format, we recalculate centroids on merge when there are ... If there aren't any deletes, the merged centroid is simply a weighted average of segment-level ... I wonder if we can re-use the information of the previous centroid, even when there are deletes?
    CH-Abhinav 1.2 days ago:  @msokolov I think we should go with multiple unbiased samples, calculate their centroids and merge ... IDK if using one large sample is better than using multiple small samples.
    CH-Abhinav 1.2 days ago:  do you think doing unbiased samples will always work ? maybe a 1-5% sample would be good enough to calculate centroid for OSQ but that is completely ... I would say this approach will be more optimal :- 1. if delete's are N<1% for small segments and N ...

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