Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-10 03:18 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.610 s -0.493
2022-11-10 03:16 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.681 s 0.323
2022-11-10 03:45 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.664 s 0.129
2022-11-10 03:17 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.231 s 1.310
2022-11-10 03:45 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.040 s 0.242
2022-11-10 03:46 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.652 s -1.903
2022-11-10 03:19 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.136 s -0.614
2022-11-10 03:22 Python dataset-filter nyctaxi_2010-01 1.005 s -0.113
2022-11-10 03:46 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.340 s -1.508
2022-11-10 03:51 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.553 s 1.927
2022-11-10 03:45 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.163 s -0.680
2022-11-10 03:47 Python file-read lz4, feather, table, fanniemae_2016Q4 0.831 s -0.874
2022-11-10 03:47 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.932 s 0.730
2022-11-10 03:49 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.258 s 1.879
2022-11-10 03:52 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.382 s 1.770
2022-11-10 03:45 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.293 s 0.034
2022-11-10 03:47 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.934 s -1.222
2022-11-10 03:22 Python dataframe-to-table type_nested 2.831 s 0.323
2022-11-10 03:32 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 91.405 s -3.421
2022-11-10 03:47 Python file-read lz4, feather, table, nyctaxi_2010-01 0.686 s 0.393
2022-11-10 03:17 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.646 s -0.484
2022-11-10 03:19 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.432 s -1.129
2022-11-10 03:22 Python dataframe-to-table type_dict 0.012 s -0.672
2022-11-10 03:27 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 99.498 s -2.005
2022-11-10 03:45 Python dataset-read async=True, nyctaxi_multi_ipc_s3 253.537 s -3.149
2022-11-10 03:46 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.199 s -0.641
2022-11-10 03:47 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.974 s -0.873
2022-11-10 03:45 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.241 s -0.312
2022-11-10 03:50 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.381 s 0.899
2022-11-10 04:06 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.555 s -0.920
2022-11-10 03:22 Python dataframe-to-table type_floats 0.010 s 0.719
2022-11-10 03:19 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.292 s -0.816
2022-11-10 03:22 Python dataframe-to-table chi_traffic_2020_Q1 19.992 s 1.694
2022-11-10 03:47 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.824 s -1.088
2022-11-10 03:47 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.376 s -0.782
2022-11-10 03:22 Python dataframe-to-table type_integers 0.010 s 1.668
2022-11-10 03:45 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.339 s -0.365
2022-11-10 03:53 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.043 s 2.307
2022-11-10 03:45 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.221 s -0.450
2022-11-10 03:47 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.970 s -0.827
2022-11-10 03:48 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.024 s 1.069
2022-11-10 03:47 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.609 s -0.669
2022-11-10 03:48 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.369 s -0.476
2022-11-10 03:20 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.122 s -0.339
2022-11-10 03:46 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.122 s 0.191
2022-11-10 03:54 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 8.975 s 2.261
2022-11-10 03:22 Python dataframe-to-table type_strings 0.444 s 0.370
2022-11-10 03:46 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.505 s -0.813
2022-11-10 03:52 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.337 s 1.976
2022-11-10 03:45 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.057 s 0.108
2022-11-10 03:46 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.515 s -0.869
2022-11-10 03:51 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.010 s 0.039
2022-11-10 03:52 Python file-write lz4, feather, table, fanniemae_2016Q4 1.552 s 0.593
2022-11-10 03:46 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.641 s -2.405
2022-11-10 03:47 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.920 s -0.368
2022-11-10 03:54 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.518 s 2.033
2022-11-10 04:06 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.905 s -1.120
2022-11-10 03:53 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.584 s 2.237
2022-11-10 03:55 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.736 s 2.084
2022-11-10 03:54 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.938 s 2.197
2022-11-10 03:55 Python wide-dataframe use_legacy_dataset=false 0.548 s -2.100
2022-11-10 03:54 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.378 s 0.950
2022-11-10 03:54 Python file-write lz4, feather, table, nyctaxi_2010-01 1.782 s -0.770
2022-11-10 03:55 Python wide-dataframe use_legacy_dataset=true 0.372 s 0.674
2022-11-10 04:05 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.565 s 1.217
2022-11-10 04:05 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.901 s -1.076
2022-11-10 04:03 R dataframe-to-table chi_traffic_2020_Q1, R 4.296 s 0.080
2022-11-10 04:04 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -0.969
2022-11-10 04:04 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -1.081
2022-11-10 04:03 R dataframe-to-table type_integers, R 0.010 s 1.113
2022-11-10 04:03 R dataframe-to-table type_strings, R 0.535 s 0.971
2022-11-10 04:04 R dataframe-to-table type_nested, R 0.572 s 0.723
2022-11-10 04:05 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.310 s 1.944
2022-11-10 04:05 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.550 s -0.852
2022-11-10 04:03 R dataframe-to-table type_floats, R 0.013 s 1.003
2022-11-10 04:04 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.326 s -1.028
2022-11-10 04:03 R dataframe-to-table type_dict, R 0.057 s 0.115
2022-11-10 04:05 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.596 s -0.148
2022-11-10 04:04 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.331 s -1.191
2022-11-10 04:05 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.849 s 0.003
2022-11-10 04:06 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.817 s 1.029
2022-11-10 04:06 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.214 s 2.098
2022-11-10 04:06 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s -0.290
2022-11-10 04:06 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.907 s -0.493
2022-11-10 04:07 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.496 s 0.966
2022-11-10 04:09 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.095 s 1.036
2022-11-10 04:10 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.912 s 0.986
2022-11-10 04:12 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.541 s 1.051
2022-11-10 04:12 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.951 s 0.467
2022-11-10 04:24 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.578 s 0.441
2022-11-10 04:26 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.431
2022-11-10 04:27 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.651 s 0.417
2022-11-10 04:17 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.982 s 1.112
2022-11-10 04:21 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.311 s -1.136
2022-11-10 04:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s 0.563
2022-11-10 04:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.211
2022-11-10 04:29 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.264 s 0.567
2022-11-10 04:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s -0.178
2022-11-10 04:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.236 s 0.006
2022-11-10 04:26 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.427 s -0.004
2022-11-10 04:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.617
2022-11-10 04:42 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.859 s 0.027
2022-11-10 04:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 0.327
2022-11-10 04:18 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.937 s 0.868
2022-11-10 04:22 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 0.143
2022-11-10 04:26 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s 0.033
2022-11-10 04:16 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.393 s 0.101
2022-11-10 04:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.454
2022-11-10 04:27 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.160
2022-11-10 04:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.296 s 0.503
2022-11-10 04:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.462
2022-11-10 04:37 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.265 s 0.642
2022-11-10 04:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.229 s 0.170
2022-11-10 04:32 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.744 s -0.803
2022-11-10 04:20 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.896 s 0.762
2022-11-10 04:14 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.916 s 0.546
2022-11-10 04:28 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.917 s -0.177
2022-11-10 04:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s 0.016
2022-11-10 04:36 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.704 s -0.147
2022-11-10 04:24 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.563 s -0.274
2022-11-10 04:31 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s -0.370
2022-11-10 04:33 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.329 s 0.228
2022-11-10 04:25 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.434
2022-11-10 04:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.565
2022-11-10 04:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.215
2022-11-10 04:26 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.343 s 0.084
2022-11-10 04:30 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.907 s -0.089
2022-11-10 04:33 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.352 s -0.092
2022-11-10 04:28 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.582 s -0.127
2022-11-10 04:28 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.525 s -0.703
2022-11-10 04:30 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.177 s -0.317
2022-11-10 04:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.123
2022-11-10 04:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s -0.598
2022-11-10 04:22 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.318 s -0.836
2022-11-10 04:27 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.060 s -1.120
2022-11-10 04:34 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.771 s 0.180
2022-11-10 04:19 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.722 s 0.922
2022-11-10 04:24 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.376
2022-11-10 04:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.322 s 0.979
2022-11-10 04:35 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.595 s -0.431
2022-11-10 04:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.730 s -0.471
2022-11-10 04:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.454
2022-11-10 04:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.527 s -0.165
2022-11-10 04:14 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.487 s 0.716
2022-11-10 04:23 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.214 s -1.007
2022-11-10 04:31 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.318 s -0.050
2022-11-10 04:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.320 s 1.285
2022-11-10 04:29 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.570
2022-11-10 04:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 0.576
2022-11-10 04:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.175 s 0.120
2022-11-10 04:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.331 s 0.417
2022-11-10 04:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.546
2022-11-10 04:41 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.855 s 1.513
2022-11-10 04:25 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.009 s -0.102
2022-11-10 04:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 0.510
2022-11-10 04:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.420
2022-11-10 04:39 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.331 s 0.114
2022-11-10 04:43 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.525 s -1.150
2022-11-10 04:24 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s -0.529
2022-11-10 04:26 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.296
2022-11-10 04:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.215
2022-11-10 04:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 0.262
2022-11-10 04:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.293 s 0.231
2022-11-10 04:23 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.553 s 0.465
2022-11-10 04:24 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.241 s 1.195
2022-11-10 04:25 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s -0.336
2022-11-10 04:31 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.630 s 0.298
2022-11-10 04:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s -0.055
2022-11-10 04:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.406 s 0.204
2022-11-10 04:25 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.766 s -0.793
2022-11-10 04:26 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.329 s 0.002
2022-11-10 04:27 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.264 s 0.283
2022-11-10 04:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.281 s 0.380
2022-11-10 04:41 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.323 s 1.067
2022-11-10 04:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s 0.013
2022-11-10 04:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.407 s 0.688
2022-11-10 04:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.204 s 0.307
2022-11-10 04:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s -0.171
2022-11-10 04:33 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.279 s -0.596
2022-11-10 04:36 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.707 s -0.105
2022-11-10 04:38 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.121 s -0.448
2022-11-10 04:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.522 s 0.736
2022-11-10 04:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.248 s -0.212
2022-11-10 04:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.365 s 0.248
2022-11-10 04:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.766 s -0.079
2022-11-10 04:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.200
2022-11-10 04:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.995 s -1.785
2022-11-10 04:34 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.339 s 0.356
2022-11-10 04:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.361 s 0.433
2022-11-10 04:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.821 s 0.377
2022-11-10 04:46 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.453 s 1.333
2022-11-10 04:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.364 s 0.143
2022-11-10 04:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.386 s 0.076
2022-11-10 04:39 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.647 s 0.048
2022-11-10 04:54 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.298 s -0.246
2022-11-10 04:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.656 s -0.480
2022-11-10 04:40 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.256 s 0.092
2022-11-10 04:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.132 s 0.255
2022-11-10 04:42 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.470 s -0.713
2022-11-10 04:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.587 s -1.125
2022-11-10 04:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.262 s -0.015
2022-11-10 04:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.316 s -0.077
2022-11-10 04:52 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.537 s 0.015
2022-11-10 04:40 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.300 s -0.224
2022-11-10 04:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.300 s -0.924
2022-11-10 04:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.921 s -0.611
2022-11-10 05:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.097
2022-11-10 04:36 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.605 s 0.495
2022-11-10 04:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 0.534
2022-11-10 04:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.895 s 0.435
2022-11-10 04:49 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.875 s 2.024
2022-11-10 04:51 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.405
2022-11-10 04:53 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.461 s 2.200
2022-11-10 04:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.941 s 0.967
2022-11-10 04:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.344
2022-11-10 05:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s -0.124
2022-11-10 04:37 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.290 s 0.608
2022-11-10 04:37 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.434 s 0.669
2022-11-10 04:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 0.525
2022-11-10 04:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 0.581
2022-11-10 04:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.498
2022-11-10 04:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.355
2022-11-10 04:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.255 s -0.111
2022-11-10 04:42 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.292 s 0.557
2022-11-10 04:43 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.188 s -0.578
2022-11-10 04:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.558 s -0.173
2022-11-10 04:51 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s -0.013
2022-11-10 04:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.504
2022-11-10 04:42 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.356 s -0.545
2022-11-10 04:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.205 s -0.045
2022-11-10 04:48 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.602 s -0.403
2022-11-10 04:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.189 s 0.472
2022-11-10 05:02 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.739 s 0.279
2022-11-10 04:47 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.753 s -0.503
2022-11-10 04:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.058
2022-11-10 04:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.573 s 0.884
2022-11-10 04:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.200
2022-11-10 04:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.584 s 0.416
2022-11-10 04:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.423 s 0.581
2022-11-10 04:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.202 s 0.196
2022-11-10 04:49 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 1.361
2022-11-10 04:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.212 s -0.052
2022-11-10 04:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.256 s -0.463
2022-11-10 04:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s 0.024
2022-11-10 04:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.217
2022-11-10 04:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s -0.088
2022-11-10 05:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.195 s -0.214
2022-11-10 05:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.256
2022-11-10 04:49 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.216 s 0.409
2022-11-10 04:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.216 s 0.025
2022-11-10 04:55 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.324
2022-11-10 04:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.301
2022-11-10 04:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.778 s 0.216
2022-11-10 05:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.444 s 0.323
2022-11-10 04:45 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.339 s -0.738
2022-11-10 04:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.064 s -0.412
2022-11-10 04:52 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.262 s -0.145
2022-11-10 04:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.315 s -0.727
2022-11-10 04:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.113
2022-11-10 04:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.182 s 1.129
2022-11-10 04:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.958 s -1.388
2022-11-10 04:57 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.436 s 0.194
2022-11-10 05:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s -0.033
2022-11-10 04:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.262 s -0.737
2022-11-10 04:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.347
2022-11-10 04:57 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.600 s 0.716
2022-11-10 04:57 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.377 s 0.365
2022-11-10 05:01 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.914 s 0.142
2022-11-10 04:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.204 s 0.497
2022-11-10 05:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.255 s 0.175
2022-11-10 04:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.881 s -0.350
2022-11-10 05:04 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.287 s 0.202
2022-11-10 04:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.424 s -0.374
2022-11-10 04:54 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.862 s -0.313
2022-11-10 04:54 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -0.767
2022-11-10 04:58 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.894 s 0.046
2022-11-10 04:55 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.404 s 0.344
2022-11-10 04:58 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.710 s 0.469
2022-11-10 04:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.057 s -0.083
2022-11-10 04:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.143 s -0.639
2022-11-10 05:12 JavaScript toArray Vector int8Array
2022-11-10 05:12 JavaScript get Vector numbers 0.002 s 0.073
2022-11-10 05:12 JavaScript get Vector dictionary 0.002 s -0.262
2022-11-10 05:12 JavaScript vectorFromArray booleans 0.018 s 0.168
2022-11-10 05:12 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.190 s -0.911
2022-11-10 05:12 JavaScript Iterate Vector uint32Array 0.002 s 0.130
2022-11-10 05:12 JavaScript Iterate Vector dictionary 0.004 s 0.796
2022-11-10 05:12 JavaScript Spread Vector numbers 0.008 s 0.306
2022-11-10 05:12 JavaScript get Vector uint8Array 0.003 s 1.131
2022-11-10 05:12 JavaScript get Vector int8Array 0.003 s 0.986
2022-11-10 05:12 JavaScript Parse read recordBatches, tracks 0.000 s 0.738
2022-11-10 05:12 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.097
2022-11-10 05:12 JavaScript Table tracks, 1,000,000 0.276 s -0.026
2022-11-10 05:12 JavaScript Iterate Vector float32Array 0.002 s 0.805
2022-11-10 05:12 JavaScript Spread Vector int32Array 0.007 s -0.059
2022-11-10 05:12 JavaScript toArray Vector float32Array
2022-11-10 05:12 JavaScript toArray Vector float64Array
2022-11-10 05:12 JavaScript toArray Vector booleans 0.010 s -0.284
2022-11-10 05:12 JavaScript get Vector uint16Array 0.003 s 1.772
2022-11-10 05:12 JavaScript get Vector int16Array 0.003 s 1.339
2022-11-10 05:12 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.238
2022-11-10 05:12 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.034 s -1.209
2022-11-10 05:12 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.891
2022-11-10 05:12 JavaScript vectorFromArray dictionary 0.017 s -0.145
2022-11-10 05:12 JavaScript Iterate Vector int16Array 0.002 s 0.210
2022-11-10 05:12 JavaScript toArray Vector int32Array
2022-11-10 05:12 JavaScript get Vector float64Array 0.002 s 0.104
2022-11-10 05:12 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.176
2022-11-10 05:12 JavaScript Iterate Vector uint8Array 0.002 s 0.080
2022-11-10 05:12 JavaScript Iterate Vector int8Array 0.002 s 0.177
2022-11-10 05:12 JavaScript Iterate Vector int32Array 0.002 s 0.258
2022-11-10 05:12 JavaScript vectorFromArray numbers 0.016 s 0.268
2022-11-10 05:12 JavaScript Iterate Vector string 0.125 s 0.828
2022-11-10 05:12 JavaScript Spread Vector uint64Array 0.012 s 1.047
2022-11-10 05:12 JavaScript toArray Vector int16Array
2022-11-10 05:12 JavaScript toArray Vector string 0.144 s 1.280
2022-11-10 05:12 JavaScript Iterate Vector uint16Array 0.002 s 0.258
2022-11-10 05:12 JavaScript Spread Vector float64Array 0.008 s 1.206
2022-11-10 05:12 JavaScript Spread Vector string 0.143 s 1.345
2022-11-10 05:12 JavaScript Iterate Vector numbers 0.002 s 0.755
2022-11-10 05:12 JavaScript Spread Vector uint8Array 0.006 s 0.340
2022-11-10 05:12 JavaScript toArray Vector numbers
2022-11-10 05:12 JavaScript toArray Vector dictionary 0.010 s 0.248
2022-11-10 05:12 JavaScript Iterate Vector uint64Array 0.004 s 1.129
2022-11-10 05:12 JavaScript Spread Vector int64Array 0.012 s 0.904
2022-11-10 05:12 JavaScript toArray Vector uint64Array
2022-11-10 05:12 JavaScript Iterate Vector int64Array 0.004 s 1.165
2022-11-10 05:12 JavaScript Iterate Vector float64Array 0.002 s 0.723
2022-11-10 05:12 JavaScript Iterate Vector booleans 0.004 s -2.054
2022-11-10 05:12 JavaScript Spread Vector uint16Array 0.006 s 0.355
2022-11-10 05:12 JavaScript Spread Vector int16Array 0.006 s 0.527
2022-11-10 05:12 JavaScript Spread Vector uint32Array 0.007 s 0.249
2022-11-10 05:12 JavaScript Spread Vector int8Array 0.006 s 0.160
2022-11-10 05:12 JavaScript Spread Vector float32Array 0.008 s 0.521
2022-11-10 05:12 JavaScript Spread Vector dictionary 0.010 s -0.016
2022-11-10 05:12 JavaScript toArray Vector uint8Array
2022-11-10 05:12 JavaScript toArray Vector uint32Array
2022-11-10 05:12 JavaScript Spread Vector booleans 0.010 s -0.120
2022-11-10 05:12 JavaScript toArray Vector uint16Array
2022-11-10 05:12 JavaScript toArray Vector int64Array
2022-11-10 05:12 JavaScript get Vector uint64Array 0.003 s 1.301
2022-11-10 05:12 JavaScript get Vector string 0.124 s 0.363
2022-11-10 05:12 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.029 s 1.099
2022-11-10 05:12 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.490
2022-11-10 05:12 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-10 05:12 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.185 s 1.534
2022-11-10 05:12 JavaScript get Vector uint32Array 0.003 s 1.660
2022-11-10 05:12 JavaScript get Vector int32Array 0.003 s 1.343
2022-11-10 05:12 JavaScript get Vector float32Array 0.002 s 0.136
2022-11-10 05:12 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.536
2022-11-10 05:12 JavaScript get Vector int64Array 0.003 s 1.244
2022-11-10 05:12 JavaScript get Vector booleans 0.002 s -0.619
2022-11-10 05:12 JavaScript Parse write recordBatches, tracks 0.002 s 0.010
2022-11-10 05:12 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.602
2022-11-10 05:12 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.527
2022-11-10 05:12 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.573
2022-11-10 05:12 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.052
2022-11-10 05:12 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.075
2022-11-10 05:12 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-10 05:12 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.102
2022-11-10 05:12 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.023
2022-11-10 05:12 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.220
2022-11-10 05:12 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-10 05:12 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -0.986
2022-11-10 05:12 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-10 05:12 JavaScript Table 1,000,000, tracks 0.270 s 0.143
2022-11-10 05:12 JavaScript Table tracks, 1,000,000 0.050 s 0.171
2022-11-10 05:12 JavaScript Table tracks, 1,000,000 0.095 s 0.100