|  | ================================================================================================ | 
|  | Benchmark to measure CSV read/write performance | 
|  | ================================================================================================ | 
|  |  | 
|  | OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure | 
|  | AMD EPYC 7763 64-Core Processor | 
|  | Parsing quoted values:                    Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative | 
|  | ------------------------------------------------------------------------------------------------------------------------ | 
|  | One quoted string                                 24317          24376          95          0.0      486343.1       1.0X | 
|  |  | 
|  | OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure | 
|  | AMD EPYC 7763 64-Core Processor | 
|  | Wide rows with 1000 columns:              Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative | 
|  | ------------------------------------------------------------------------------------------------------------------------ | 
|  | Select 1000 columns                               56420          56835         704          0.0       56420.3       1.0X | 
|  | Select 100 columns                                20565          20673         113          0.0       20564.7       2.7X | 
|  | Select one column                                 17105          17145          38          0.1       17105.4       3.3X | 
|  | count()                                            3378           3428          68          0.3        3378.0      16.7X | 
|  | Select 100 columns, one bad input field           24702          24731          37          0.0       24702.1       2.3X | 
|  | Select 100 columns, corrupt record field          28027          28093          91          0.0       28026.7       2.0X | 
|  |  | 
|  | OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure | 
|  | AMD EPYC 7763 64-Core Processor | 
|  | 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()                       10764          10804          35          0.9        1076.4       1.0X | 
|  | Select 1 column + count()                          7422           7424           1          1.3         742.2       1.5X | 
|  | count()                                            1679           1682           3          6.0         167.9       6.4X | 
|  |  | 
|  | OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure | 
|  | AMD EPYC 7763 64-Core Processor | 
|  | Write dates and timestamps:               Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative | 
|  | ------------------------------------------------------------------------------------------------------------------------ | 
|  | Create a dataset of timestamps                      829            834           7         12.1          82.9       1.0X | 
|  | to_csv(timestamp)                                  5601           5649          49          1.8         560.1       0.1X | 
|  | write timestamps to files                          5733           5743          11          1.7         573.3       0.1X | 
|  | Create a dataset of dates                           923            931           8         10.8          92.3       0.9X | 
|  | to_csv(date)                                       4069           4071           4          2.5         406.9       0.2X | 
|  | write dates to files                               4030           4035           6          2.5         403.0       0.2X | 
|  |  | 
|  | OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure | 
|  | AMD EPYC 7763 64-Core Processor | 
|  | Read dates and timestamps:                                             Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative | 
|  | ----------------------------------------------------------------------------------------------------------------------------------------------------- | 
|  | read timestamp text from files                                                  1157           1161           4          8.6         115.7       1.0X | 
|  | read timestamps from files                                                     11666          11677          12          0.9        1166.6       0.1X | 
|  | infer timestamps from files                                                    23313          23345          47          0.4        2331.3       0.0X | 
|  | read date text from files                                                       1061           1072          10          9.4         106.1       1.1X | 
|  | read date from files                                                           10393          10406          11          1.0        1039.3       0.1X | 
|  | infer date from files                                                          20923          20949          27          0.5        2092.3       0.1X | 
|  | timestamp strings                                                               1215           1220           5          8.2         121.5       1.0X | 
|  | parse timestamps from Dataset[String]                                          13441          13464          22          0.7        1344.1       0.1X | 
|  | infer timestamps from Dataset[String]                                          24868          24942          91          0.4        2486.8       0.0X | 
|  | date strings                                                                    1681           1682           1          5.9         168.1       0.7X | 
|  | parse dates from Dataset[String]                                               12086          12095           8          0.8        1208.6       0.1X | 
|  | from_csv(timestamp)                                                            11219          11323          92          0.9        1121.9       0.1X | 
|  | from_csv(date)                                                                 10647          10658          10          0.9        1064.7       0.1X | 
|  | infer error timestamps from Dataset[String] with default format                14771          14788          17          0.7        1477.1       0.1X | 
|  | infer error timestamps from Dataset[String] with user-provided format          14792          14816          23          0.7        1479.2       0.1X | 
|  | infer error timestamps from Dataset[String] with legacy format                 14780          14818          33          0.7        1478.0       0.1X | 
|  |  | 
|  | OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure | 
|  | AMD EPYC 7763 64-Core Processor | 
|  | Filters pushdown:                         Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative | 
|  | ------------------------------------------------------------------------------------------------------------------------ | 
|  | w/o filters                                        4307           4312           4          0.0       43066.8       1.0X | 
|  | pushdown disabled                                  4358           4388          26          0.0       43575.3       1.0X | 
|  | w/ filters                                          727            734           8          0.1        7267.3       5.9X | 
|  |  | 
|  | OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure | 
|  | AMD EPYC 7763 64-Core Processor | 
|  | Interval:                                 Best Time(ms)   Avg Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative | 
|  | ------------------------------------------------------------------------------------------------------------------------ | 
|  | Read as Intervals                                   761            764           2          0.4        2537.6       1.0X | 
|  | Read Raw Strings                                    336            337           1          0.9        1120.9       2.3X | 
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