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.
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