HUSTERGS opened a new pull request, #14991:
URL: https://github.com/apache/lucene/pull/14991
### Description
This is a tiny modification about how to loop through the `IntRef` during
the `PointRangeQuery` visit process, which is a hot path.
I ran the luceneutil on `wikimediumall` with `searchConcurrency=0,
taskCountPerCat=5, taskRepeatCount=50`, here is the result after 20 iterations:
```
TaskQPS baseline StdDevQPS
my_modified_version StdDev Pct diff p-value
AndHighOrMedMed 14.22 (3.4%) 14.05
(2.8%) -1.2% ( -7% - 5%) 0.242
Prefix3 74.69 (4.2%) 73.87
(3.7%) -1.1% ( -8% - 7%) 0.383
CountTerm 6021.67 (4.7%) 5959.35
(5.5%) -1.0% ( -10% - 9%) 0.522
FilteredAndStopWords 8.22 (2.5%) 8.14
(2.8%) -1.0% ( -6% - 4%) 0.227
IntSet 294.24 (5.3%) 291.38
(4.7%) -1.0% ( -10% - 9%) 0.541
FilteredPrefix3 69.88 (4.1%) 69.24
(3.4%) -0.9% ( -8% - 6%) 0.441
FilteredAndHighHigh 10.17 (2.6%) 10.08
(2.7%) -0.9% ( -6% - 4%) 0.283
SpanNear 2.50 (3.0%) 2.47
(4.6%) -0.9% ( -8% - 6%) 0.481
CountPhrase 2.66 (2.9%) 2.63
(3.4%) -0.8% ( -6% - 5%) 0.410
FilteredPhrase 9.75 (2.8%) 9.68
(2.8%) -0.8% ( -6% - 5%) 0.384
AndStopWords 9.14 (2.1%) 9.07
(2.2%) -0.7% ( -4% - 3%) 0.293
AndMedOrHighHigh 16.93 (2.5%) 16.81
(2.3%) -0.7% ( -5% - 4%) 0.371
DismaxOrHighMed 50.64 (4.2%) 50.31
(4.0%) -0.7% ( -8% - 7%) 0.611
FilteredAnd3Terms 100.95 (3.9%) 100.28
(3.4%) -0.7% ( -7% - 6%) 0.568
Respell 36.47 (3.6%) 36.25
(5.0%) -0.6% ( -8% - 8%) 0.653
FilteredOrMany 3.97 (2.9%) 3.95
(2.9%) -0.6% ( -6% - 5%) 0.520
IntervalsOrdered 2.43 (2.0%) 2.42
(3.5%) -0.6% ( -5% - 5%) 0.513
FilteredAndHighMed 31.57 (2.6%) 31.39
(2.5%) -0.6% ( -5% - 4%) 0.467
SloppyPhrase 1.11 (5.1%) 1.10
(4.1%) -0.6% ( -9% - 9%) 0.706
And3Terms 74.71 (4.4%) 74.32
(4.3%) -0.5% ( -8% - 8%) 0.703
FilteredOrStopWords 8.05 (2.3%) 8.01
(2.4%) -0.5% ( -5% - 4%) 0.489
OrMany 4.66 (4.4%) 4.64
(4.8%) -0.5% ( -9% - 9%) 0.727
Fuzzy2 38.17 (4.0%) 37.97
(5.3%) -0.5% ( -9% - 9%) 0.734
CountAndHighMed 74.45 (3.0%) 74.11
(2.9%) -0.5% ( -6% - 5%) 0.615
DismaxOrHighHigh 37.52 (3.8%) 37.36
(3.2%) -0.5% ( -7% - 6%) 0.683
TermMonthSort 2148.50 (2.6%) 2139.58
(3.2%) -0.4% ( -6% - 5%) 0.655
FilteredOr3Terms 43.11 (3.9%) 42.93
(3.8%) -0.4% ( -7% - 7%) 0.737
And2Terms2StopWords 61.27 (7.3%) 61.03
(7.3%) -0.4% ( -14% - 15%) 0.865
FilteredOr2Terms2StopWords 49.27 (5.0%) 49.08
(5.1%) -0.4% ( -10% - 10%) 0.810
CountOrHighMed 77.15 (2.9%) 76.88
(2.6%) -0.4% ( -5% - 5%) 0.680
Or2Terms2StopWords 63.59 (6.8%) 63.36
(6.6%) -0.4% ( -12% - 14%) 0.866
FilteredAnd2Terms2StopWords 60.51 (5.3%) 60.31
(5.3%) -0.3% ( -10% - 10%) 0.847
OrStopWords 9.88 (2.4%) 9.85
(2.4%) -0.3% ( -4% - 4%) 0.673
CombinedOrHighHigh 5.60 (3.4%) 5.58
(5.3%) -0.3% ( -8% - 8%) 0.823
AndHighMed 57.66 (3.9%) 57.50
(3.9%) -0.3% ( -7% - 7%) 0.817
FilteredOrHighHigh 12.86 (2.9%) 12.82
(3.1%) -0.3% ( -6% - 5%) 0.763
Phrase 7.51 (3.5%) 7.49
(2.6%) -0.3% ( -6% - 5%) 0.772
CombinedOrHighMed 20.83 (5.2%) 20.78
(6.3%) -0.3% ( -11% - 11%) 0.883
CountFilteredOrMany 4.40 (3.1%) 4.39
(2.9%) -0.2% ( -6% - 5%) 0.807
CountOrHighHigh 49.43 (2.8%) 49.32
(2.4%) -0.2% ( -5% - 5%) 0.785
CountOrMany 4.96 (3.3%) 4.95
(2.9%) -0.2% ( -6% - 6%) 0.827
Or3Terms 68.39 (4.4%) 68.24
(4.5%) -0.2% ( -8% - 9%) 0.879
FilteredOrHighMed 38.42 (4.0%) 38.33
(4.0%) -0.2% ( -7% - 8%) 0.866
Fuzzy1 42.60 (4.3%) 42.51
(5.6%) -0.2% ( -9% - 10%) 0.897
CountAndHighHigh 48.02 (2.4%) 47.93
(2.4%) -0.2% ( -4% - 4%) 0.805
OrHighMed 73.36 (4.9%) 73.28
(4.9%) -0.1% ( -9% - 10%) 0.943
CountFilteredOrHighHigh 15.82 (1.1%) 15.80
(0.9%) -0.1% ( -2% - 1%) 0.745
CountFilteredPhrase 9.01 (3.1%) 9.01
(3.5%) -0.1% ( -6% - 6%) 0.941
AndHighHigh 24.76 (2.8%) 24.74
(2.4%) -0.1% ( -5% - 5%) 0.945
OrHighHigh 23.88 (2.8%) 23.87
(2.8%) -0.1% ( -5% - 5%) 0.953
CountFilteredOrHighMed 17.90 (0.9%) 17.90
(0.8%) -0.0% ( -1% - 1%) 0.897
FilteredTerm 64.07 (4.3%) 64.08
(4.1%) 0.0% ( -8% - 8%) 0.989
CombinedAndHighHigh 5.67 (2.4%) 5.68
(2.7%) 0.1% ( -4% - 5%) 0.856
TermDayOfYearSort 260.32 (2.6%) 260.72
(2.9%) 0.2% ( -5% - 5%) 0.858
DismaxTerm 516.56 (4.5%) 517.71
(4.2%) 0.2% ( -8% - 9%) 0.871
TermB1M1P 486.46 (5.3%) 487.97
(4.1%) 0.3% ( -8% - 10%) 0.836
CombinedAndHighMed 21.11 (5.0%) 21.18
(5.5%) 0.3% ( -9% - 11%) 0.846
Term1M 486.31 (5.3%) 488.01
(4.0%) 0.3% ( -8% - 10%) 0.813
Term 486.88 (5.2%) 488.60
(3.9%) 0.4% ( -8% - 10%) 0.810
Term10K 486.28 (5.4%) 488.06
(4.1%) 0.4% ( -8% - 10%) 0.809
Wildcard 46.68 (3.5%) 46.86
(3.9%) 0.4% ( -6% - 8%) 0.749
TermDTSort 135.05 (2.4%) 135.58
(2.8%) 0.4% ( -4% - 5%) 0.638
Term100 486.10 (5.3%) 488.34
(4.0%) 0.5% ( -8% - 10%) 0.755
TermTitleSort 49.03 (4.3%) 49.31
(6.3%) 0.6% ( -9% - 11%) 0.740
TermB1M 485.85 (5.3%) 488.61
(4.0%) 0.6% ( -8% - 10%) 0.703
CountFilteredIntNRQ 16.19 (1.2%) 16.31
(1.3%) 0.8% ( -1% - 3%) 0.062
CombinedTerm 11.39 (3.6%) 11.48
(4.2%) 0.8% ( -6% - 8%) 0.523
OrHighRare 94.52 (6.4%) 96.19
(3.8%) 1.8% ( -7% - 12%) 0.287
FilteredIntNRQ 41.34 (2.9%) 42.21
(3.1%) 2.1% ( -3% - 8%) 0.027
IntNRQ 41.60 (2.9%) 42.60
(3.0%) 2.4% ( -3% - 8%) 0.009
```
It's not a big speedup, nor is the p-value zero, but it should do no harm
and is a easy win I guess?
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