gf2121 commented on pull request #592:
URL: https://github.com/apache/lucene/pull/592#issuecomment-1010612581


   @uschindler Thank you for the benchmark guidance!
   
   I made a new change in this 
[commit](https://github.com/apache/lucene/pull/592/commits/347fdb13d60f620064290123f5122e6ea78ac288)
 that ensure valid before each call of `ByteBuffer#get`. And I run a benchmark 
on wikimediumall (16GB) with 20 rounds of JVM and each round repeat tasks 200 
times (each jvm lask 10 min and total time took 6h+). This benchmark should be 
similar to  what we did in https://github.com/apache/lucene/pull/518. And here 
is the result:
   
   ```
                               TaskQPS baseline      StdDevQPS 
my_modified_version      StdDev                Pct diff p-value
              BrowseMonthTaxoFacets        5.80     (14.4%)        5.50     
(13.6%)   -5.1% ( -29% -   26%) 0.246
               HighTermTitleBDVSort       35.69     (30.2%)       34.46     
(18.5%)   -3.4% ( -40% -   64%) 0.664
                            Prefix3      194.68     (12.3%)      188.12     
(13.2%)   -3.4% ( -25% -   25%) 0.403
                  HighTermMonthSort       49.11     (28.0%)       47.66     
(15.0%)   -2.9% ( -35% -   55%) 0.678
                         OrHighHigh       16.37      (4.5%)       15.99      
(4.0%)   -2.4% ( -10% -    6%) 0.078
                         TermDTSort       22.81     (23.4%)       22.30     
(12.8%)   -2.3% ( -31% -   44%) 0.704
          BrowseDayOfYearSSDVFacets        4.43     (10.4%)        4.34      
(7.1%)   -2.0% ( -17% -   17%) 0.473
               HighIntervalsOrdered        3.92      (9.6%)        3.85      
(8.4%)   -1.9% ( -18% -   17%) 0.514
                           Wildcard       95.75     (14.1%)       94.10     
(14.6%)   -1.7% ( -26% -   31%) 0.704
        BrowseRandomLabelTaxoFacets        4.55     (12.8%)        4.50     
(12.2%)   -1.1% ( -23% -   27%) 0.788
                          OrHighMed       47.41      (4.7%)       46.98      
(4.1%)   -0.9% (  -9% -    8%) 0.516
               BrowseDateTaxoFacets        5.25     (16.3%)        5.21     
(15.4%)   -0.8% ( -27% -   37%) 0.881
          BrowseDayOfYearTaxoFacets        5.31     (16.5%)        5.27     
(15.6%)   -0.7% ( -28% -   37%) 0.893
             OrHighMedDayTaxoFacets        1.03      (5.0%)        1.02      
(5.0%)   -0.6% ( -10% -    9%) 0.700
               MedTermDayTaxoFacets       15.74      (5.8%)       15.67      
(3.8%)   -0.5% (  -9% -    9%) 0.772
                             Fuzzy1       76.87      (2.4%)       76.53      
(2.1%)   -0.4% (  -4% -    4%) 0.542
                           PKLookup      204.50      (5.0%)      203.69      
(4.8%)   -0.4% (  -9% -    9%) 0.798
                             Fuzzy2       71.89      (2.1%)       71.64      
(2.0%)   -0.4% (  -4% -    3%) 0.586
                    LowSloppyPhrase        4.00      (4.2%)        3.99      
(4.0%)   -0.3% (  -8% -    8%) 0.833
                            Respell       46.07      (1.8%)       45.96      
(2.1%)   -0.2% (  -4% -    3%) 0.686
                LowIntervalsOrdered        7.73      (4.9%)        7.73      
(3.7%)   -0.0% (  -8% -    9%) 0.988
              HighTermDayOfYearSort       43.42     (23.3%)       43.54     
(12.8%)    0.3% ( -29% -   47%) 0.965
           AndHighHighDayTaxoFacets        6.99      (3.0%)        7.02      
(2.6%)    0.5% (  -4% -    6%) 0.544
        BrowseRandomLabelSSDVFacets        3.18      (6.5%)        3.21      
(7.6%)    1.1% ( -12% -   16%) 0.637
                       HighSpanNear        1.70      (5.8%)        1.72      
(4.9%)    1.1% (  -9% -   12%) 0.524
                        LowSpanNear        5.93      (3.4%)        6.00      
(3.4%)    1.1% (  -5% -    8%) 0.312
                    MedSloppyPhrase       45.85      (2.9%)       46.42      
(2.7%)    1.2% (  -4% -    6%) 0.161
                        MedSpanNear       23.88      (4.0%)       24.26      
(3.8%)    1.6% (  -5% -    9%) 0.198
                            LowTerm     1699.14      (4.1%)     1729.13      
(2.9%)    1.8% (  -4% -    9%) 0.114
              BrowseMonthSSDVFacets        4.67      (4.1%)        4.76     
(12.0%)    2.0% ( -13% -   18%) 0.483
                          MedPhrase       47.09      (2.2%)       48.24      
(1.5%)    2.4% (  -1% -    6%) 0.000
                   HighSloppyPhrase       14.85      (2.6%)       15.22      
(2.2%)    2.5% (  -2% -    7%) 0.001
                MedIntervalsOrdered        7.07      (3.6%)        7.29      
(2.5%)    3.2% (  -2% -    9%) 0.001
                          LowPhrase       12.80      (2.4%)       13.27      
(1.7%)    3.6% (   0% -    7%) 0.000
                        AndHighHigh       35.29      (3.1%)       36.71      
(5.0%)    4.0% (  -4% -   12%) 0.002
                         AndHighMed       87.69      (2.4%)       91.35      
(3.9%)    4.2% (  -2% -   10%) 0.000
                      OrHighNotHigh     1514.29      (4.5%)     1578.30      
(4.0%)    4.2% (  -4% -   13%) 0.002
                            MedTerm     1838.55      (4.7%)     1917.70      
(4.1%)    4.3% (  -4% -   13%) 0.002
                       OrNotHighMed     1182.37      (3.8%)     1237.57      
(2.7%)    4.7% (  -1% -   11%) 0.000
                       OrHighNotLow     1218.07      (6.1%)     1279.72      
(4.8%)    5.1% (  -5% -   17%) 0.004
            AndHighMedDayTaxoFacets       20.90      (3.4%)       21.98      
(2.0%)    5.2% (   0% -   11%) 0.000
                      OrNotHighHigh      943.89      (5.8%)      999.13      
(4.8%)    5.9% (  -4% -   17%) 0.001
                           HighTerm     1349.44      (5.8%)     1431.38      
(5.3%)    6.1% (  -4% -   18%) 0.001
                       OrHighNotMed      926.10      (5.8%)      989.92      
(5.6%)    6.9% (  -4% -   19%) 0.000
                         HighPhrase      290.29      (6.0%)      318.57      
(3.1%)    9.7% (   0% -   20%) 0.000
                             IntNRQ       32.61     (25.8%)       35.87     
(16.2%)   10.0% ( -25% -   70%) 0.142
                          OrHighLow      547.59      (6.0%)      604.39      
(3.2%)   10.4% (   1% -   20%) 0.000
                       OrNotHighLow      886.23      (5.1%)      980.83      
(2.2%)   10.7% (   3% -   18%) 0.000
                         AndHighLow      608.29      (6.3%)      693.67      
(3.5%)   14.0% (   4% -   25%) 0.000
   ```
   
   So it seems like the point that brings a speed up is not reducing number of 
valid check but just implement it and write all of them together into a method, 
removing some abstraction layer and method call ? So i reopened the PR to see 
if this change will make sense to you :)


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