HUSTERGS commented on PR #15081:
URL: https://github.com/apache/lucene/pull/15081#issuecomment-3193969629
Since I'm little bit confused by the cause of performance gain, I re-run
the util to double-check it, here is the second benchmark result:
```
TaskQPS baseline StdDevQPS
my_modified_version StdDev Pct diff p-value
OrHighRare 91.58 (5.4%) 90.35
(7.9%) -1.3% ( -13% - 12%) 0.527
Prefix3 74.58 (3.6%) 73.61
(4.8%) -1.3% ( -9% - 7%) 0.336
CountPhrase 2.66 (2.1%) 2.62
(3.9%) -1.3% ( -7% - 4%) 0.188
FilteredPrefix3 69.51 (3.4%) 68.76
(4.6%) -1.1% ( -8% - 7%) 0.400
TermB1M1P 397.72 (6.2%) 395.01
(6.7%) -0.7% ( -12% - 13%) 0.738
Term 397.58 (6.1%) 395.33
(6.8%) -0.6% ( -12% - 13%) 0.782
Term100 397.36 (6.1%) 395.17
(6.8%) -0.6% ( -12% - 13%) 0.787
Term10K 397.53 (6.2%) 395.35
(6.7%) -0.5% ( -12% - 13%) 0.787
CombinedTerm 10.82 (3.5%) 10.77
(4.1%) -0.4% ( -7% - 7%) 0.721
IntervalsOrdered 2.44 (2.6%) 2.43
(3.6%) -0.4% ( -6% - 5%) 0.676
Term1M 397.47 (6.0%) 395.92
(7.0%) -0.4% ( -12% - 13%) 0.850
TermB1M 397.18 (6.1%) 395.64
(6.9%) -0.4% ( -12% - 13%) 0.850
CombinedOrHighHigh 5.49 (3.5%) 5.47
(3.7%) -0.4% ( -7% - 7%) 0.737
CountOrMany 4.80 (3.4%) 4.79
(3.2%) -0.4% ( -6% - 6%) 0.740
TermTitleSort 51.38 (4.2%) 51.22
(4.6%) -0.3% ( -8% - 8%) 0.827
SpanNear 2.46 (5.0%) 2.45
(6.1%) -0.3% ( -10% - 11%) 0.867
CountAndHighHigh 48.08 (2.1%) 48.00
(1.9%) -0.2% ( -4% - 3%) 0.769
CountOrHighHigh 49.17 (2.6%) 49.09
(2.3%) -0.2% ( -4% - 4%) 0.817
CountFilteredOrMany 4.28 (2.8%) 4.27
(2.9%) -0.2% ( -5% - 5%) 0.845
Wildcard 46.51 (2.1%) 46.46
(3.1%) -0.1% ( -5% - 5%) 0.910
FilteredAndStopWords 8.22 (2.2%) 8.22
(3.0%) -0.0% ( -5% - 5%) 0.970
CountFilteredOrHighHigh 15.76 (0.8%) 15.76
(0.9%) -0.0% ( -1% - 1%) 0.996
CountFilteredOrHighMed 17.84 (0.7%) 17.85
(0.8%) 0.0% ( -1% - 1%) 0.920
FilteredOrStopWords 7.85 (2.3%) 7.85
(3.0%) 0.0% ( -5% - 5%) 0.967
CountOrHighMed 71.51 (2.1%) 71.55
(2.2%) 0.1% ( -4% - 4%) 0.935
CombinedAndHighHigh 5.61 (1.3%) 5.61
(1.6%) 0.1% ( -2% - 2%) 0.899
CountAndHighMed 70.68 (2.8%) 70.75
(2.6%) 0.1% ( -5% - 5%) 0.906
SloppyPhrase 1.11 (3.8%) 1.11
(4.0%) 0.1% ( -7% - 8%) 0.920
FilteredAndHighHigh 10.22 (2.4%) 10.23
(3.3%) 0.1% ( -5% - 6%) 0.886
Phrase 7.39 (2.2%) 7.40
(2.3%) 0.2% ( -4% - 4%) 0.772
FilteredOrMany 3.86 (3.4%) 3.87
(3.4%) 0.2% ( -6% - 7%) 0.830
CountFilteredIntNRQ 16.33 (1.2%) 16.37
(1.1%) 0.2% ( -2% - 2%) 0.516
IntNRQ 42.56 (2.7%) 42.66
(2.7%) 0.2% ( -5% - 5%) 0.776
DismaxTerm 448.07 (4.6%) 449.36
(3.8%) 0.3% ( -7% - 9%) 0.828
TermDayOfYearSort 252.26 (2.2%) 253.08
(1.4%) 0.3% ( -3% - 4%) 0.577
CombinedOrHighMed 19.30 (5.5%) 19.37
(5.9%) 0.3% ( -10% - 12%) 0.846
FilteredIntNRQ 42.16 (2.7%) 42.31
(2.6%) 0.4% ( -4% - 5%) 0.656
CountFilteredPhrase 8.58 (3.4%) 8.61
(3.8%) 0.4% ( -6% - 7%) 0.728
FilteredOrHighHigh 12.35 (2.9%) 12.40
(3.3%) 0.4% ( -5% - 6%) 0.684
OrMany 4.06 (6.2%) 4.08
(6.6%) 0.4% ( -11% - 14%) 0.838
AndHighOrMedMed 13.49 (2.7%) 13.56
(3.0%) 0.5% ( -5% - 6%) 0.593
FilteredOr3Terms 41.01 (4.2%) 41.22
(4.4%) 0.5% ( -7% - 9%) 0.713
Fuzzy2 33.72 (4.4%) 33.89
(5.0%) 0.5% ( -8% - 10%) 0.734
CountTerm 5519.28 (2.6%) 5547.79
(2.1%) 0.5% ( -4% - 5%) 0.491
FilteredTerm 60.30 (2.3%) 60.63
(3.4%) 0.6% ( -5% - 6%) 0.544
IntSet 286.83 (3.3%) 288.51
(4.0%) 0.6% ( -6% - 8%) 0.611
FilteredOrHighMed 36.14 (4.2%) 36.36
(4.6%) 0.6% ( -7% - 9%) 0.657
Respell 34.65 (3.8%) 34.87
(4.0%) 0.6% ( -6% - 8%) 0.610
FilteredOr2Terms2StopWords 45.74 (5.2%) 46.05
(5.4%) 0.7% ( -9% - 11%) 0.692
Fuzzy1 37.23 (5.0%) 37.48
(5.1%) 0.7% ( -8% - 11%) 0.673
CombinedAndHighMed 19.64 (4.8%) 19.77
(5.3%) 0.7% ( -8% - 11%) 0.671
TermDTSort 136.72 (3.4%) 137.70
(3.5%) 0.7% ( -5% - 7%) 0.511
FilteredAnd3Terms 99.36 (3.7%) 100.18
(3.6%) 0.8% ( -6% - 8%) 0.475
TermMonthSort 2067.37 (2.0%) 2085.00
(1.8%) 0.9% ( -2% - 4%) 0.161
FilteredPhrase 9.33 (2.8%) 9.43
(3.5%) 1.0% ( -5% - 7%) 0.308
DismaxOrHighMed 44.36 (6.9%) 44.81
(4.6%) 1.0% ( -9% - 13%) 0.577
AndMedOrHighHigh 15.36 (4.2%) 15.54
(3.3%) 1.1% ( -6% - 9%) 0.353
FilteredAndHighMed 30.00 (4.0%) 30.46
(3.2%) 1.5% ( -5% - 9%) 0.183
FilteredAnd2Terms2StopWords 54.75 (6.0%) 55.79
(5.3%) 1.9% ( -8% - 13%) 0.286
And2Terms2StopWords 51.39 (8.7%) 52.87
(6.9%) 2.9% ( -11% - 20%) 0.248
AndStopWords 8.16 (6.3%) 8.40
(1.8%) 2.9% ( -4% - 11%) 0.046
Or2Terms2StopWords 51.97 (7.9%) 53.69
(6.8%) 3.3% ( -10% - 19%) 0.155
And3Terms 65.09 (8.6%) 67.50
(4.4%) 3.7% ( -8% - 18%) 0.087
DismaxOrHighHigh 31.54 (4.9%) 32.74
(4.4%) 3.8% ( -5% - 13%) 0.010
OrStopWords 8.08 (6.5%) 8.41
(3.7%) 4.1% ( -5% - 15%) 0.015
Or3Terms 57.13 (8.6%) 59.89
(5.1%) 4.8% ( -8% - 20%) 0.031
AndHighMed 47.53 (9.3%) 49.88
(3.2%) 4.9% ( -6% - 19%) 0.024
OrHighMed 56.33 (9.6%) 59.54
(5.3%) 5.7% ( -8% - 22%) 0.020
AndHighHigh 19.41 (8.9%) 20.76
(2.4%) 7.0% ( -3% - 19%) 0.001
OrHighHigh 17.52 (8.1%) 18.91
(4.5%) 7.9% ( -4% - 22%) 0.000
```
I suspect that pre-filter doc can help because it reduces some useless
advance of some clauses, since they now have some kind of global view (docs
filtered by `maxOtherDoc`), so the `applyRequiredClause` always makes some true
progress.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org
For additional commands, e-mail: issues-h...@lucene.apache.org
