jpountz commented on PR #13968:
URL: https://github.com/apache/lucene/pull/13968#issuecomment-2449457800
Here is a `luceneutil` run against `wikibigall`:
```
TaskQPS baseline StdDevQPS
my_modified_version StdDev Pct diff p-value
CountOrHighHigh 76.20 (1.0%) 74.54
(0.9%) -2.2% ( -4% - 0%) 0.000
CountOrHighMed 143.11 (1.2%) 141.35
(1.0%) -1.2% ( -3% - 0%) 0.001
CountAndHighHigh 57.54 (1.1%) 57.30
(0.9%) -0.4% ( -2% - 1%) 0.189
TermDTSort 376.04 (6.4%) 374.67
(5.7%) -0.4% ( -11% - 12%) 0.853
AndHighHigh 91.53 (1.4%) 91.32
(1.9%) -0.2% ( -3% - 3%) 0.669
HighTermDayOfYearSort 901.22 (3.8%) 899.77
(3.4%) -0.2% ( -7% - 7%) 0.890
AndHighLow 1205.47 (1.7%) 1203.76
(2.0%) -0.1% ( -3% - 3%) 0.810
OrHighMed 206.20 (2.5%) 206.34
(2.7%) 0.1% ( -5% - 5%) 0.935
OrNotHighLow 1148.24 (2.1%) 1149.12
(2.0%) 0.1% ( -3% - 4%) 0.908
OrHighLow 756.64 (1.7%) 757.29
(1.6%) 0.1% ( -3% - 3%) 0.872
MedTerm 742.62 (2.1%) 743.99
(2.2%) 0.2% ( -4% - 4%) 0.793
AndHighMed 184.06 (1.4%) 184.45
(1.3%) 0.2% ( -2% - 2%) 0.622
PKLookup 271.47 (2.2%) 272.19
(2.5%) 0.3% ( -4% - 5%) 0.728
OrHighRare 280.73 (4.2%) 281.50
(5.4%) 0.3% ( -8% - 10%) 0.861
OrHighNotHigh 262.74 (2.8%) 263.51
(2.6%) 0.3% ( -4% - 5%) 0.736
AndStopWords 32.53 (4.5%) 32.64
(4.2%) 0.3% ( -8% - 9%) 0.806
HighTerm 443.84 (2.8%) 445.95
(2.1%) 0.5% ( -4% - 5%) 0.551
OrHighNotMed 485.11 (3.0%) 487.66
(3.4%) 0.5% ( -5% - 7%) 0.612
LowTerm 1138.20 (2.7%) 1144.70
(2.8%) 0.6% ( -4% - 6%) 0.519
Fuzzy2 75.60 (2.1%) 76.05
(2.5%) 0.6% ( -3% - 5%) 0.429
Wildcard 116.11 (3.2%) 116.86
(4.1%) 0.6% ( -6% - 8%) 0.597
OrHighHigh 93.59 (3.6%) 94.24
(3.4%) 0.7% ( -6% - 7%) 0.538
OrNotHighHigh 261.04 (2.8%) 262.93
(2.4%) 0.7% ( -4% - 6%) 0.396
Fuzzy1 80.27 (2.6%) 80.86
(2.6%) 0.7% ( -4% - 6%) 0.381
And2Terms2StopWords 161.95 (2.6%) 163.18
(2.5%) 0.8% ( -4% - 5%) 0.354
HighTermTitleBDVSort 15.67 (6.6%) 15.80
(5.8%) 0.8% ( -10% - 14%) 0.677
OrHighNotLow 447.52 (4.0%) 451.75
(4.1%) 0.9% ( -6% - 9%) 0.471
And3Terms 178.15 (3.2%) 179.88
(2.8%) 1.0% ( -4% - 7%) 0.319
Or2Terms2StopWords 164.13 (3.7%) 166.04
(3.4%) 1.2% ( -5% - 8%) 0.312
OrStopWords 36.12 (6.7%) 36.55
(6.1%) 1.2% ( -10% - 14%) 0.564
Or3Terms 178.00 (3.7%) 180.14
(3.5%) 1.2% ( -5% - 8%) 0.309
Prefix3 70.94 (4.1%) 71.81
(8.1%) 1.2% ( -10% - 13%) 0.554
IntNRQ 179.05 (5.1%) 181.32
(5.4%) 1.3% ( -8% - 12%) 0.459
HighTermMonthSort 3413.39 (2.2%) 3459.32
(3.0%) 1.3% ( -3% - 6%) 0.111
OrNotHighMed 384.09 (3.2%) 389.69
(2.5%) 1.5% ( -4% - 7%) 0.112
OrMany 19.16 (3.5%) 19.44
(3.6%) 1.5% ( -5% - 8%) 0.203
CountTerm 9388.28 (3.3%) 9587.31
(4.2%) 2.1% ( -5% - 9%) 0.082
HighTermTitleSort 135.48 (1.9%) 139.76
(3.3%) 3.2% ( -1% - 8%) 0.000
CountAndHighMed 160.02 (1.3%) 168.58
(1.3%) 5.4% ( 2% - 7%) 0.000
```
The `CountAndHighMed` and `HighTermTitleSort` speedups are consistently
reproducible. I believe that the former is due to being able to compare 8 lanes
at once instead of 4, and the latter is due to the better memory efficiency of
the postings reader now that it stores two int[128] instead of two long[128]
(this task creates a few tens of postings readers under the hood).
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