jpountz commented on PR #12670:
URL: https://github.com/apache/lucene/pull/12670#issuecomment-1761288055

   Results on wikibigall. Both the baseline and the contender have #12668.
   
   ```
                              TaskQPS baseline      StdDevQPS 
my_modified_version      StdDev                Pct diff p-value
                             IntNRQ      279.07      (9.5%)      269.35      
(6.9%)   -3.5% ( -18% -   14%) 0.185
                            Prefix3      210.18      (3.2%)      207.28      
(4.2%)   -1.4% (  -8% -    6%) 0.239
                     CountOrHighMed       87.59     (13.7%)       86.77     
(14.3%)   -0.9% ( -25% -   31%) 0.832
                    CountOrHighHigh       56.41     (13.8%)       55.89     
(14.6%)   -0.9% ( -25% -   31%) 0.836
                          LowPhrase       23.15      (3.7%)       23.00      
(4.2%)   -0.7% (  -8% -    7%) 0.598
                           Wildcard       36.09      (3.7%)       35.90      
(3.8%)   -0.5% (  -7% -    7%) 0.652
              HighTermDayOfYearSort      249.90      (2.0%)      249.63      
(1.8%)   -0.1% (  -3% -    3%) 0.857
                            Respell       69.31      (1.8%)       69.38      
(2.4%)    0.1% (  -3% -    4%) 0.876
                          MedPhrase       28.69      (2.4%)       28.73      
(3.5%)    0.1% (  -5% -    6%) 0.894
                         HighPhrase       54.89      (2.8%)       55.06      
(3.7%)    0.3% (  -6% -    7%) 0.771
                           PKLookup      224.50      (2.9%)      226.08      
(2.6%)    0.7% (  -4% -    6%) 0.415
                        CountPhrase        4.40      (3.6%)        4.43      
(4.8%)    0.8% (  -7% -    9%) 0.542
                             Fuzzy2       79.33      (1.8%)       80.04      
(1.6%)    0.9% (  -2% -    4%) 0.092
                             Fuzzy1      116.13      (1.9%)      117.20      
(1.7%)    0.9% (  -2% -    4%) 0.106
                          CountTerm    16592.06      (5.5%)    16762.13      
(6.2%)    1.0% ( -10% -   13%) 0.580
                           HighTerm      377.81      (7.9%)      381.70      
(7.1%)    1.0% ( -12% -   17%) 0.665
                            MedTerm      481.56      (7.2%)      487.41      
(6.3%)    1.2% ( -11% -   15%) 0.570
                            LowTerm     1072.51      (6.8%)     1086.51      
(6.0%)    1.3% ( -10% -   15%) 0.522
                         AndHighLow      996.73      (2.3%)     1013.39      
(3.8%)    1.7% (  -4% -    8%) 0.096
                   CountAndHighHigh       40.50      (3.6%)       41.23      
(5.0%)    1.8% (  -6% -   10%) 0.187
                  HighTermMonthSort     4998.32      (3.8%)     5092.15      
(2.2%)    1.9% (  -3% -    8%) 0.056
                    CountAndHighMed      122.05      (2.8%)      124.41      
(4.5%)    1.9% (  -5% -    9%) 0.099
                         AndHighMed      140.41      (2.8%)      145.21      
(4.1%)    3.4% (  -3% -   10%) 0.002
                        AndHighHigh       51.03      (3.4%)       53.21      
(4.6%)    4.3% (  -3% -   12%) 0.001
                          OrHighMed      183.06      (3.7%)      191.28      
(5.0%)    4.5% (  -4% -   13%) 0.001
                          OrHighLow      598.61      (3.0%)      627.58      
(3.7%)    4.8% (  -1% -   11%) 0.000
                         OrHighHigh       67.20      (6.2%)       71.31      
(6.2%)    6.1% (  -5% -   19%) 0.002
   ```
   
   Disjunctions see a bigger improvement than conjunctions, which makes sense 
since they tend to rely more on `nextDoc()` and less on `advance()` compared 
with conjunctions.


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