Re: [PR] Adding benchmark for histogram collector over point range query [lucene]

[via GitHub]

jainankitk commented on PR #14622:
URL: https://github.com/apache/lucene/pull/14622#issuecomment-2857368351

   Okay, I was trying to use `PointRangeQuery` with `NumericDocValuesField` 
which is not correct. After fixing that, results are as expected:
   
   ```
     Benchmark                                             (bucketWidth)  
(docCount)  (pointEnabled)   Mode  Cnt      Score      Error  Units             
                              
     HistogramCollectorBenchmark.pointRangeQueryHistogram           5000      
500000            true  thrpt    3   6379.911 ± 2605.358  ops/s                 
                          
     HistogramCollectorBenchmark.pointRangeQueryHistogram           5000      
500000           false  thrpt    3    120.113 ±    6.797  ops/s                 
                          
     HistogramCollectorBenchmark.pointRangeQueryHistogram           5000     
5000000            true  thrpt    3    868.640 ±  128.468  ops/s                
                           
     HistogramCollectorBenchmark.pointRangeQueryHistogram           5000     
5000000           false  thrpt    3     12.404 ±    0.100  ops/s                
                           
     HistogramCollectorBenchmark.pointRangeQueryHistogram          25000      
500000            true  thrpt    3  14202.749 ± 2581.651  ops/s                 
                          
     HistogramCollectorBenchmark.pointRangeQueryHistogram          25000      
500000           false  thrpt    3    120.191 ±    7.646  ops/s                 
                          
     HistogramCollectorBenchmark.pointRangeQueryHistogram          25000     
5000000            true  thrpt    3   3366.509 ±  134.193  ops/s                
                           
     HistogramCollectorBenchmark.pointRangeQueryHistogram          25000     
5000000           false  thrpt    3     12.409 ±    0.495  ops/s
   ```
   
   This PR is in good shape for review now.


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