gsmiller commented on pull request #605:
URL: https://github.com/apache/lucene/pull/605#issuecomment-1012342391


   I'm seeing the nice performance improvement locally that @gf2121 and I both 
observed with LUCENE-10350, so I'm going to go ahead and merge this, which is 
just a portion of LUCENE-10350 (and hopefully not the portion responsible for 
the nightly bench regressions).
   
   ```
                               TaskQPS baseline      StdDevQPS candidate      
StdDev                Pct diff p-value
          BrowseDayOfYearSSDVFacets       12.73     (15.5%)       12.30     
(14.7%)   -3.4% ( -29% -   31%) 0.483
                           Wildcard      103.85      (9.1%)      102.09      
(9.3%)   -1.7% ( -18% -   18%) 0.559
        BrowseRandomLabelSSDVFacets        9.73      (7.0%)        9.64      
(7.2%)   -0.9% ( -14% -   14%) 0.690
                         OrHighHigh       45.50      (3.8%)       45.11      
(3.7%)   -0.9% (  -8% -    6%) 0.466
                          OrHighMed      129.29      (4.3%)      128.54      
(4.4%)   -0.6% (  -8% -    8%) 0.672
                       HighSpanNear        1.79      (5.4%)        1.79      
(6.1%)   -0.4% ( -11% -   11%) 0.814
                MedIntervalsOrdered       26.95      (5.7%)       26.85      
(6.0%)   -0.4% ( -11% -   12%) 0.844
                            LowTerm     2140.59      (3.8%)     2134.06      
(3.3%)   -0.3% (  -7% -    7%) 0.786
                    LowSloppyPhrase       12.56      (2.9%)       12.53      
(2.4%)   -0.2% (  -5% -    5%) 0.779
               HighIntervalsOrdered        7.50      (5.9%)        7.49      
(6.3%)   -0.2% ( -11% -   12%) 0.923
                            Prefix3      239.09      (9.5%)      238.69      
(8.9%)   -0.2% ( -16% -   20%) 0.954
                   HighSloppyPhrase       27.88      (4.8%)       27.85      
(4.1%)   -0.1% (  -8% -    9%) 0.952
                LowIntervalsOrdered       84.79      (4.1%)       84.75      
(4.5%)   -0.0% (  -8% -    8%) 0.976
                         TermDTSort       99.64     (16.5%)       99.63     
(17.0%)   -0.0% ( -28% -   40%) 0.999
                    MedSloppyPhrase       54.26      (4.8%)       54.30      
(3.8%)    0.1% (  -8% -    9%) 0.964
                        AndHighHigh       55.59      (3.5%)       55.66      
(4.4%)    0.1% (  -7% -    8%) 0.920
                         AndHighMed      116.21      (3.6%)      116.37      
(4.5%)    0.1% (  -7% -    8%) 0.918
                        LowSpanNear       17.01      (3.2%)       17.03      
(3.7%)    0.1% (  -6% -    7%) 0.893
                             Fuzzy2       48.58      (1.5%)       48.65      
(1.5%)    0.2% (  -2% -    3%) 0.735
                          OrHighLow      263.27      (3.7%)      263.87      
(2.9%)    0.2% (  -6% -    7%) 0.829
                             Fuzzy1      109.75      (1.4%)      110.05      
(1.6%)    0.3% (  -2% -    3%) 0.566
                          LowPhrase      693.11      (2.6%)      695.08      
(2.2%)    0.3% (  -4% -    5%) 0.712
                        MedSpanNear       78.47      (3.4%)       78.78      
(4.0%)    0.4% (  -6% -    8%) 0.737
                            Respell       52.36      (1.0%)       52.57      
(1.2%)    0.4% (  -1% -    2%) 0.251
                         HighPhrase       44.86      (3.9%)       45.05      
(2.8%)    0.4% (  -6% -    7%) 0.693
               MedTermDayTaxoFacets       42.75      (5.5%)       42.93      
(4.6%)    0.4% (  -9% -   11%) 0.786
                          MedPhrase      206.29      (2.6%)      207.19      
(2.1%)    0.4% (  -4% -    5%) 0.559
             OrHighMedDayTaxoFacets       11.62      (3.6%)       11.67      
(4.2%)    0.5% (  -7% -    8%) 0.709
                           PKLookup      169.21      (3.1%)      170.19      
(3.1%)    0.6% (  -5% -    7%) 0.558
                             IntNRQ      854.72      (1.8%)      860.51      
(1.8%)    0.7% (  -2% -    4%) 0.230
                         AndHighLow     1108.90      (2.8%)     1117.66      
(2.9%)    0.8% (  -4% -    6%) 0.387
                            MedTerm     2707.67      (3.8%)     2730.24      
(3.5%)    0.8% (  -6% -    8%) 0.472
                      OrNotHighHigh      850.92      (3.5%)      858.09      
(3.7%)    0.8% (  -6% -    8%) 0.461
                       OrHighNotLow     1155.56      (4.2%)     1166.24      
(3.7%)    0.9% (  -6% -    9%) 0.458
                           HighTerm     1308.41      (4.0%)     1321.26      
(3.5%)    1.0% (  -6% -    8%) 0.412
                      OrHighNotHigh     1396.86      (3.2%)     1411.02      
(2.0%)    1.0% (  -4% -    6%) 0.228
           AndHighHighDayTaxoFacets        4.67      (4.6%)        4.71      
(4.5%)    1.0% (  -7% -   10%) 0.471
                       OrHighNotMed      822.86      (4.1%)      831.64      
(3.9%)    1.1% (  -6% -    9%) 0.403
            AndHighMedDayTaxoFacets       86.23      (1.8%)       87.26      
(1.8%)    1.2% (  -2% -    4%) 0.038
               HighTermTitleBDVSort       73.64     (18.2%)       74.80     
(17.0%)    1.6% ( -28% -   44%) 0.777
                       OrNotHighMed      895.15      (3.5%)      909.34      
(3.4%)    1.6% (  -5% -    8%) 0.145
                       OrNotHighLow     1178.85      (1.7%)     1200.20      
(2.6%)    1.8% (  -2% -    6%) 0.010
              HighTermDayOfYearSort       82.17     (17.9%)       83.72     
(22.0%)    1.9% ( -32% -   50%) 0.766
                  HighTermMonthSort       78.32     (18.6%)       79.84     
(17.7%)    1.9% ( -28% -   46%) 0.735
              BrowseMonthSSDVFacets       13.03      (8.5%)       13.85     
(22.3%)    6.3% ( -22% -   40%) 0.235
          BrowseDayOfYearTaxoFacets       15.09      (6.1%)       20.45     
(32.3%)   35.5% (  -2% -   78%) 0.000
        BrowseRandomLabelTaxoFacets       12.82      (5.5%)       17.41     
(28.5%)   35.8% (   1% -   73%) 0.000
               BrowseDateTaxoFacets       15.04      (6.1%)       20.50     
(32.5%)   36.3% (  -2% -   79%) 0.000
              BrowseMonthTaxoFacets       15.74      (8.1%)       25.59     
(48.0%)   62.6% (   6% -  129%) 0.000
   ```


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