Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-05 01:37 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.308 s 2.729
2022-11-05 01:15 Python dataframe-to-table type_dict 0.011 s 0.087
2022-11-05 01:35 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.211 s -0.377
2022-11-05 01:35 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.280 s 0.186
2022-11-05 01:10 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.676 s 1.027
2022-11-05 01:36 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.627 s -3.185
2022-11-05 01:14 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.718 s 1.330
2022-11-05 01:15 Python dataframe-to-table type_integers 0.010 s 0.352
2022-11-05 01:35 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.229 s -0.206
2022-11-05 01:35 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.061 s 0.093
2022-11-05 01:10 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.242 s 0.431
2022-11-05 01:36 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.202 s -1.437
2022-11-05 01:40 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.756 s 0.885
2022-11-05 01:20 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 81.703 s 0.167
2022-11-05 01:38 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.610 s -1.055
2022-11-05 01:38 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.360 s -0.532
2022-11-05 01:45 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.276
2022-11-05 01:16 Python dataframe-to-table type_floats 0.011 s -0.208
2022-11-05 01:36 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.052 s 0.125
2022-11-05 01:36 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.632 s -2.155
2022-11-05 01:36 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.484 s -0.869
2022-11-05 01:12 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.425 s 0.075
2022-11-05 01:13 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.843 s 1.055
2022-11-05 01:37 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.913 s -0.081
2022-11-05 01:38 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.941 s -0.710
2022-11-05 01:38 Python file-read lz4, feather, table, nyctaxi_2010-01 0.688 s 0.010
2022-11-05 01:11 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.176 s 0.992
2022-11-05 01:15 Python dataframe-to-table chi_traffic_2020_Q1 20.359 s 0.167
2022-11-05 01:24 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.530 s 0.515
2022-11-05 01:37 Python file-read lz4, feather, table, fanniemae_2016Q4 0.819 s 0.548
2022-11-05 01:42 Python file-write lz4, feather, table, fanniemae_2016Q4 1.555 s 0.241
2022-11-05 01:16 Python dataframe-to-table type_nested 2.820 s 0.984
2022-11-05 01:44 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.154 s 1.138
2022-11-05 01:36 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.682 s -0.100
2022-11-05 01:44 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.077 s 1.000
2022-11-05 01:35 Python dataset-read async=True, nyctaxi_multi_ipc_s3 215.625 s 0.942
2022-11-05 01:36 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.121 s 0.054
2022-11-05 01:45 Python wide-dataframe use_legacy_dataset=false 0.512 s 0.664
2022-11-05 01:12 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.046 s 1.299
2022-11-05 01:15 Python dataframe-to-table type_strings 0.449 s -0.147
2022-11-05 01:12 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.124 s 0.592
2022-11-05 01:37 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.767 s -0.824
2022-11-05 01:45 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.438 s -0.017
2022-11-05 01:45 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.871 s -0.230
2022-11-05 01:16 Python dataset-filter nyctaxi_2010-01 1.014 s -0.475
2022-11-05 01:36 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.481 s -0.491
2022-11-05 01:37 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.963 s -0.364
2022-11-05 01:45 Python file-write lz4, feather, table, nyctaxi_2010-01 1.772 s -0.594
2022-11-05 01:37 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.375 s -1.139
2022-11-05 01:38 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.910 s 0.057
2022-11-05 01:38 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.055 s 1.265
2022-11-05 01:42 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.932 s -0.752
2022-11-05 01:35 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.145 s 0.777
2022-11-05 01:36 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.159 s -0.474
2022-11-05 01:37 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.966 s -0.770
2022-11-05 01:45 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.979 s 0.100
2022-11-05 01:40 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.396 s 1.222
2022-11-05 01:41 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.060 s 0.879
2022-11-05 01:43 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.587 s 2.128
2022-11-05 01:41 Python file-write uncompressed, feather, table, fanniemae_2016Q4 4.994 s 0.107
2022-11-05 01:43 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.902 s -0.651
2022-11-05 01:44 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.516 s 1.593
2022-11-05 01:54 R dataframe-to-table type_integers, R 0.011 s 0.186
2022-11-05 01:57 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.824 s -1.086
2022-11-05 01:53 R dataframe-to-table chi_traffic_2020_Q1, R 4.273 s 0.342
2022-11-05 01:54 R dataframe-to-table type_strings, R 0.545 s -1.548
2022-11-05 01:54 R dataframe-to-table type_floats, R 0.013 s -0.437
2022-11-05 01:54 R dataframe-to-table type_dict, R 0.070 s -1.221
2022-11-05 01:54 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.336 s -1.062
2022-11-05 01:54 R dataframe-to-table type_nested, R 0.580 s -1.110
2022-11-05 01:55 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.588 s -0.981
2022-11-05 02:16 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.732 s -0.069
2022-11-05 01:55 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.322 s -0.806
2022-11-05 01:55 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.315 s -0.571
2022-11-05 01:55 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.561 s -0.496
2022-11-05 01:55 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.677
2022-11-05 01:55 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.602 s -1.280
2022-11-05 01:56 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.555 s -1.354
2022-11-05 01:56 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.845 s 0.546
2022-11-05 01:56 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.554 s -1.609
2022-11-05 01:56 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.903 s -1.611
2022-11-05 02:03 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.952 s 0.508
2022-11-05 02:14 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.565 s -0.382
2022-11-05 02:23 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s 0.040
2022-11-05 02:06 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.391 s 0.100
2022-11-05 02:15 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s 0.307
2022-11-05 02:17 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.224 s 0.567
2022-11-05 01:56 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.906 s -1.624
2022-11-05 01:57 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.910 s -1.186
2022-11-05 01:56 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.095
2022-11-05 02:00 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.179 s 0.952
2022-11-05 02:15 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.198 s -0.080
2022-11-05 02:19 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.228 s 0.644
2022-11-05 01:58 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.499 s 1.364
2022-11-05 02:05 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.498 s -0.123
2022-11-05 02:17 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.428 s 0.363
2022-11-05 02:21 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.527
2022-11-05 01:57 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.574 s 1.703
2022-11-05 02:09 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.734 s 0.908
2022-11-05 02:14 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.247 s 0.313
2022-11-05 02:16 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.276 s 0.573
2022-11-05 02:21 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.315 s 0.589
2022-11-05 02:00 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.938 s 1.230
2022-11-05 02:11 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s -0.296
2022-11-05 02:13 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.333
2022-11-05 02:15 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.272 s 0.003
2022-11-05 02:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.229 s 0.558
2022-11-05 02:07 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.998 s 1.034
2022-11-05 02:16 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.345 s 0.399
2022-11-05 02:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.917 s 0.128
2022-11-05 02:20 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.903 s 0.424
2022-11-05 02:17 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s 0.494
2022-11-05 02:19 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.266 s 0.495
2022-11-05 02:02 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.559 s 1.365
2022-11-05 02:08 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.914 s 1.230
2022-11-05 02:15 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.237 s 0.310
2022-11-05 02:21 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.262 s 0.680
2022-11-05 02:10 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.873 s 1.052
2022-11-05 02:19 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.523 s 0.030
2022-11-05 02:26 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s 0.241
2022-11-05 02:04 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.011 s -1.312
2022-11-05 02:22 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.629 s 0.673
2022-11-05 02:23 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.175 s 0.477
2022-11-05 02:23 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.291 s -0.075
2022-11-05 02:14 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.198 s -0.134
2022-11-05 02:19 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.197 s 0.607
2022-11-05 02:21 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.569
2022-11-05 02:24 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.343 s 0.482
2022-11-05 02:14 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.581 s 0.303
2022-11-05 02:16 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.005 s 0.188
2022-11-05 02:26 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.332 s 0.622
2022-11-05 02:12 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.274 s 0.466
2022-11-05 02:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.655 s 0.512
2022-11-05 02:18 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.301 s 0.365
2022-11-05 02:19 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.680
2022-11-05 02:19 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.236 s 0.593
2022-11-05 02:20 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.693
2022-11-05 02:23 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.347 s 0.429
2022-11-05 02:15 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s 0.097
2022-11-05 02:25 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.600 s 0.049
2022-11-05 02:14 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.178 s 0.652
2022-11-05 02:14 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.561 s 0.222
2022-11-05 02:16 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.285 s 0.563
2022-11-05 02:20 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.327 s 0.238
2022-11-05 02:22 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s 0.415
2022-11-05 02:24 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.330 s 0.508
2022-11-05 02:24 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.365 s 0.479
2022-11-05 02:25 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.327 s 0.611
2022-11-05 02:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.331 s 0.618
2022-11-05 02:18 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.588 s 0.130
2022-11-05 02:22 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s 0.468
2022-11-05 02:16 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s 0.435
2022-11-05 02:17 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.045 s 0.179
2022-11-05 02:21 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.635 s 0.273
2022-11-05 02:24 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.286 s 0.467
2022-11-05 02:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.302 s 0.289
2022-11-05 02:25 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.779 s 0.240
2022-11-05 02:25 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.387 s 0.463
2022-11-05 02:26 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s 0.476
2022-11-05 02:20 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.190 s 0.160
2022-11-05 02:22 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.746 s -0.034
2022-11-05 02:22 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s 0.390
2022-11-05 02:24 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.283 s 0.478
2022-11-05 02:22 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s 0.380
2022-11-05 02:24 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.654 s 0.220
2022-11-05 02:26 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.363 s 0.631
2022-11-05 02:28 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s 0.219
2022-11-05 02:29 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.249 s 0.617
2022-11-05 02:27 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.608 s 0.614
2022-11-05 02:27 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.291 s 0.702
2022-11-05 02:27 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s 0.542
2022-11-05 02:27 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.366 s 0.533
2022-11-05 02:27 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.717 s 0.097
2022-11-05 02:27 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.690
2022-11-05 02:28 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.437 s 0.708
2022-11-05 02:29 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.144 s 0.034
2022-11-05 02:28 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.953 s 0.573
2022-11-05 02:29 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.333 s 0.412
2022-11-05 02:29 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.252 s 0.636
2022-11-05 02:29 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.672
2022-11-05 02:29 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s 0.508
2022-11-05 02:30 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.747 s 0.009
2022-11-05 02:30 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.903 s 0.369
2022-11-05 02:29 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s 0.190
2022-11-05 02:31 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s 0.452
2022-11-05 02:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.227 s 0.593
2022-11-05 02:30 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.206 s 0.609
2022-11-05 02:31 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.300 s 0.419
2022-11-05 02:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.329 s 0.465
2022-11-05 02:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.203 s 0.278
2022-11-05 02:31 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s 0.470
2022-11-05 02:32 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.162 s -0.601
2022-11-05 02:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.861 s 1.119
2022-11-05 02:32 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.249 s 0.228
2022-11-05 02:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.296 s 0.232
2022-11-05 02:32 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.357 s 0.020
2022-11-05 02:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.467 s 0.443
2022-11-05 02:33 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.873 s -0.888
2022-11-05 02:34 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.265 s -2.412
2022-11-05 02:33 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.522 s -0.070
2022-11-05 02:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.179 s 0.626
2022-11-05 02:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s 0.474
2022-11-05 02:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.324 s 0.726
2022-11-05 02:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.409 s 0.573
2022-11-05 02:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.586 s 0.566
2022-11-05 02:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.324 s 0.188
2022-11-05 02:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.822 s 0.504
2022-11-05 02:35 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.285 s 0.956
2022-11-05 02:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.331 s 0.308
2022-11-05 02:38 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s 0.122
2022-11-05 02:35 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.205 s 0.442
2022-11-05 02:41 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.254 s 0.479
2022-11-05 02:35 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.296 s 1.091
2022-11-05 02:35 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s 0.304
2022-11-05 02:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.216 s 0.479
2022-11-05 02:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -0.974
2022-11-05 02:37 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.202 s 0.518
2022-11-05 02:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.190 s 0.553
2022-11-05 02:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s -1.164
2022-11-05 02:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s 0.529
2022-11-05 02:37 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.246 s 0.457
2022-11-05 02:39 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.569 s 0.088
2022-11-05 02:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.235 s 0.313
2022-11-05 02:40 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.050 s 0.131
2022-11-05 02:36 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.231 s 0.467
2022-11-05 02:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.530 s 0.054
2022-11-05 02:41 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.951 s 0.372
2022-11-05 02:37 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.485 s 0.443
2022-11-05 02:37 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.205 s 0.489
2022-11-05 02:38 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.236 s 0.551
2022-11-05 02:38 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.595 s 0.508
2022-11-05 02:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.212 s 0.484
2022-11-05 02:41 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.661 s 0.627
2022-11-05 02:37 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.808 s -1.490
2022-11-05 02:42 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.776 s -0.874
2022-11-05 02:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.398
2022-11-05 02:43 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.228 s 0.182
2022-11-05 02:36 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.428 s 0.415
2022-11-05 02:40 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.892 s 0.340
2022-11-05 02:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.217 s 0.520
2022-11-05 02:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.696
2022-11-05 02:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.262 s 0.401
2022-11-05 02:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.540 s 0.188
2022-11-05 02:40 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s 0.382
2022-11-05 02:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.291 s 0.446
2022-11-05 02:47 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.607 s 0.361
2022-11-05 02:38 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s 0.374
2022-11-05 02:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.917 s -0.096
2022-11-05 02:40 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.318 s 0.345
2022-11-05 02:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s 0.410
2022-11-05 02:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.264 s -0.924
2022-11-05 02:43 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.501 s 0.576
2022-11-05 02:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.191 s 0.532
2022-11-05 02:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.414
2022-11-05 02:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.320 s -1.140
2022-11-05 02:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.784 s 0.368
2022-11-05 02:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.868 s -0.710
2022-11-05 02:45 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.434 s -0.096
2022-11-05 02:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.309 s -1.215
2022-11-05 02:46 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.058 s -0.122
2022-11-05 02:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s 0.387
2022-11-05 02:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.260 s 0.533
2022-11-05 02:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.369 s 0.311
2022-11-05 02:47 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.946 s 0.298
2022-11-05 02:48 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.900 s -0.680
2022-11-05 02:51 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.033 s -0.701
2022-11-05 02:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.438 s 0.460
2022-11-05 03:03 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.185 s 1.118
2022-11-05 02:49 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.149 s 0.040
2022-11-05 03:03 JavaScript Iterate Vector int64Array 0.004 s -2.222
2022-11-05 03:03 JavaScript Spread Vector int64Array 0.012 s 0.889
2022-11-05 02:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.379 s 0.576
2022-11-05 02:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.448 s 0.155
2022-11-05 02:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.292 s 0.081
2022-11-05 03:03 JavaScript Iterate Vector uint32Array 0.002 s 0.521
2022-11-05 03:03 JavaScript toArray Vector int32Array
2022-11-05 03:03 JavaScript toArray Vector float32Array
2022-11-05 03:03 JavaScript get Vector uint8Array 0.003 s -0.117
2022-11-05 03:03 JavaScript get Vector float32Array 0.002 s 0.147
2022-11-05 03:03 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.426
2022-11-05 02:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.223 s 0.274
2022-11-05 03:03 JavaScript toArray Vector string 0.145 s 0.151
2022-11-05 03:03 JavaScript Iterate Vector int32Array 0.002 s 0.792
2022-11-05 03:03 JavaScript Spread Vector int32Array 0.006 s 0.736
2022-11-05 03:03 JavaScript Spread Vector float32Array 0.008 s 1.110
2022-11-05 03:03 JavaScript Spread Vector numbers 0.008 s 0.400
2022-11-05 03:03 JavaScript Spread Vector dictionary 0.010 s 0.196
2022-11-05 02:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s 0.459
2022-11-05 03:03 JavaScript Iterate Vector float32Array 0.002 s 0.282
2022-11-05 03:03 JavaScript Iterate Vector numbers 0.002 s 0.645
2022-11-05 03:03 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.342
2022-11-05 02:53 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.195 s 0.225
2022-11-05 03:03 JavaScript Iterate Vector uint64Array 0.004 s -0.969
2022-11-05 03:03 JavaScript Iterate Vector float64Array 0.002 s 0.671
2022-11-05 03:03 JavaScript Iterate Vector booleans 0.004 s -0.297
2022-11-05 03:03 JavaScript Iterate Vector string 0.126 s 0.547
2022-11-05 02:49 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.898 s 0.282
2022-11-05 03:03 JavaScript vectorFromArray booleans 0.018 s 0.317
2022-11-05 03:03 JavaScript Iterate Vector uint8Array 0.002 s 0.407
2022-11-05 03:03 JavaScript Iterate Vector int8Array 0.002 s 1.093
2022-11-05 03:03 JavaScript toArray Vector numbers
2022-11-05 03:03 JavaScript toArray Vector dictionary 0.010 s 0.759
2022-11-05 03:03 JavaScript get Vector dictionary 0.002 s 0.772
2022-11-05 03:03 JavaScript Parse read recordBatches, tracks 0.000 s 0.741
2022-11-05 02:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.715 s 0.557
2022-11-05 03:03 JavaScript vectorFromArray dictionary 0.017 s 0.876
2022-11-05 03:03 JavaScript toArray Vector float64Array
2022-11-05 03:03 JavaScript toArray Vector booleans 0.010 s 0.281
2022-11-05 03:03 JavaScript get Vector uint16Array 0.003 s -0.128
2022-11-05 03:03 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.013
2022-11-05 02:53 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.678 s 0.303
2022-11-05 02:53 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.240 s 0.215
2022-11-05 03:03 JavaScript vectorFromArray numbers 0.018 s -11.321
2022-11-05 03:03 JavaScript Iterate Vector uint16Array 0.002 s 0.673
2022-11-05 03:03 JavaScript Iterate Vector int16Array 0.002 s 0.653
2022-11-05 03:03 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.006
2022-11-05 03:03 JavaScript Table tracks, 1,000,000 0.094 s 1.286
2022-11-05 02:53 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.201 s 0.268
2022-11-05 02:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.308 s -0.075
2022-11-05 03:03 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-05 03:03 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.186 s 0.790
2022-11-05 03:03 JavaScript Iterate Vector dictionary 0.004 s -0.308
2022-11-05 03:03 JavaScript Spread Vector uint8Array 0.006 s 0.588
2022-11-05 03:03 JavaScript Spread Vector uint32Array 0.006 s 0.861
2022-11-05 03:03 JavaScript Spread Vector uint16Array 0.006 s 1.106
2022-11-05 03:03 JavaScript Spread Vector uint64Array 0.012 s 1.346
2022-11-05 03:03 JavaScript Spread Vector int16Array 0.006 s 1.229
2022-11-05 03:03 JavaScript Spread Vector booleans 0.010 s 0.220
2022-11-05 03:03 JavaScript Spread Vector string 0.144 s 1.001
2022-11-05 03:03 JavaScript toArray Vector uint16Array
2022-11-05 03:03 JavaScript Table tracks, 1,000,000 0.050 s 0.178
2022-11-05 03:03 JavaScript Spread Vector int8Array 0.006 s 0.609
2022-11-05 03:03 JavaScript toArray Vector int8Array
2022-11-05 03:03 JavaScript get Vector uint32Array 0.003 s -0.651
2022-11-05 03:03 JavaScript get Vector int8Array 0.003 s 0.190
2022-11-05 03:03 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.397
2022-11-05 03:03 JavaScript Spread Vector float64Array 0.008 s 0.366
2022-11-05 03:03 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.009
2022-11-05 03:03 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.362
2022-11-05 03:03 JavaScript Table tracks, 1,000,000 0.298 s -1.089
2022-11-05 03:03 JavaScript toArray Vector uint8Array
2022-11-05 03:03 JavaScript get Vector numbers 0.002 s 0.093
2022-11-05 03:03 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.023
2022-11-05 03:03 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.048
2022-11-05 03:03 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.509
2022-11-05 03:03 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-05 03:03 JavaScript Table 1,000,000, tracks 0.311 s -1.866
2022-11-05 03:03 JavaScript toArray Vector uint32Array
2022-11-05 03:03 JavaScript get Vector int32Array 0.003 s -0.417
2022-11-05 03:03 JavaScript toArray Vector uint64Array
2022-11-05 03:03 JavaScript toArray Vector int16Array
2022-11-05 03:03 JavaScript toArray Vector int64Array
2022-11-05 03:03 JavaScript get Vector uint64Array 0.003 s 0.407
2022-11-05 03:03 JavaScript get Vector int16Array 0.003 s -0.035
2022-11-05 03:03 JavaScript get Vector float64Array 0.002 s 0.086
2022-11-05 03:03 JavaScript Parse write recordBatches, tracks 0.002 s -1.455
2022-11-05 03:03 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.124
2022-11-05 03:03 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-05 03:03 JavaScript get Vector int64Array 0.003 s 0.690
2022-11-05 03:03 JavaScript get Vector booleans 0.002 s 0.179
2022-11-05 03:03 JavaScript get Vector string 0.123 s 1.014
2022-11-05 03:03 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.505
2022-11-05 03:03 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.896
2022-11-05 03:03 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-05 03:03 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.001 s -0.891
2022-11-05 03:03 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.140
2022-11-05 03:03 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.031 s 0.273
2022-11-05 03:03 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.287