maropu commented on a change in pull request #25992: [SPARK-29320][TESTS] 
Compare `sql/core` module in JDK8/11 (Part 1)
URL: https://github.com/apache/spark/pull/25992#discussion_r330361486
 
 

 ##########
 File path: sql/core/benchmarks/CSVBenchmark-results.txt
 ##########
 @@ -2,58 +2,3 @@
 Benchmark to measure CSV read/write performance
 
================================================================================================
 
-Java HotSpot(TM) 64-Bit Server VM 1.8.0_202-b08 on Mac OS X 10.14.4
-Intel(R) Core(TM) i7-4850HQ CPU @ 2.30GHz
-Parsing quoted values:                    Best Time(ms)   Avg Time(ms)   
Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
-------------------------------------------------------------------------------------------------------------------------
-One quoted string                                 36998          37134         
120          0.0      739953.1       1.0X
-
-Java HotSpot(TM) 64-Bit Server VM 1.8.0_202-b08 on Mac OS X 10.14.4
-Intel(R) Core(TM) i7-4850HQ CPU @ 2.30GHz
-Wide rows with 1000 columns:              Best Time(ms)   Avg Time(ms)   
Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
-------------------------------------------------------------------------------------------------------------------------
-Select 1000 columns                              140620         141162         
737          0.0      140620.5       1.0X
-Select 100 columns                                35170          35287         
183          0.0       35170.0       4.0X
-Select one column                                 27711          27927         
187          0.0       27710.9       5.1X
-count()                                            7707           7804         
 84          0.1        7707.4      18.2X
-Select 100 columns, one bad input field           41762          41851         
117          0.0       41761.8       3.4X
-Select 100 columns, corrupt record field          48717          48761         
 44          0.0       48717.4       2.9X
-
-Java HotSpot(TM) 64-Bit Server VM 1.8.0_202-b08 on Mac OS X 10.14.4
-Intel(R) Core(TM) i7-4850HQ CPU @ 2.30GHz
-Count a dataset with 10 columns:          Best Time(ms)   Avg Time(ms)   
Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
-------------------------------------------------------------------------------------------------------------------------
-Select 10 columns + count()                       16001          16053         
 53          0.6        1600.1       1.0X
-Select 1 column + count()                         11571          11614         
 58          0.9        1157.1       1.4X
-count()                                            4752           4766         
 18          2.1         475.2       3.4X
-
-Java HotSpot(TM) 64-Bit Server VM 1.8.0_202-b08 on Mac OS X 10.14.4
-Intel(R) Core(TM) i7-4850HQ CPU @ 2.30GHz
-Write dates and timestamps:               Best Time(ms)   Avg Time(ms)   
Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
-------------------------------------------------------------------------------------------------------------------------
-Create a dataset of timestamps                     1070           1072         
  2          9.3         107.0       1.0X
-to_csv(timestamp)                                 10446          10746         
344          1.0        1044.6       0.1X
-write timestamps to files                          9573           9659         
101          1.0         957.3       0.1X
-Create a dataset of dates                          1245           1260         
 17          8.0         124.5       0.9X
-to_csv(date)                                       7157           7167         
 11          1.4         715.7       0.1X
-write dates to files                               5415           5450         
 57          1.8         541.5       0.2X
-
-Java HotSpot(TM) 64-Bit Server VM 1.8.0_202-b08 on Mac OS X 10.14.4
-Intel(R) Core(TM) i7-4850HQ CPU @ 2.30GHz
-Read dates and timestamps:                Best Time(ms)   Avg Time(ms)   
Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
-------------------------------------------------------------------------------------------------------------------------
-read timestamp text from files                     1880           1887         
  8          5.3         188.0       1.0X
-read timestamps from files                        27135          27180         
 43          0.4        2713.5       0.1X
-infer timestamps from files                       51426          51534         
 97          0.2        5142.6       0.0X
-read date text from files                          1618           1622         
  4          6.2         161.8       1.2X
-read date from files                              20207          20218         
 13          0.5        2020.7       0.1X
-infer date from files                             19418          19479         
 94          0.5        1941.8       0.1X
-timestamp strings                                  2289           2300         
 13          4.4         228.9       0.8X
-parse timestamps from Dataset[String]             29367          29391         
 24          0.3        2936.7       0.1X
-infer timestamps from Dataset[String]             54782          54902         
126          0.2        5478.2       0.0X
-date strings                                       2508           2524         
 16          4.0         250.8       0.7X
-parse dates from Dataset[String]                  21884          21902         
 19          0.5        2188.4       0.1X
-from_csv(timestamp)                               27188          27723         
477          0.4        2718.8       0.1X
-from_csv(date)                                    21137          21191         
 84          0.5        2113.7       0.1X
 
 Review comment:
   Where these result did go anywhere? We need to keep this empty file?

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