Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-18 23:39 Python dataframe-to-table type_dict 0.011 s 0.687
2023-01-18 23:36 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.130 s 0.159
2023-01-18 23:37 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.301 s 1.265
2023-01-18 23:34 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.232 s 0.335
2023-01-18 23:34 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.790 s -0.369
2023-01-18 23:36 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.143 s -1.273
2023-01-18 23:36 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.438 s 0.026
2023-01-19 00:00 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.696 s 0.212
2023-01-18 23:40 Python dataset-filter nyctaxi_2010-01 1.026 s -0.184
2023-01-18 23:37 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.356 s 1.283
2023-01-18 23:39 Python dataframe-to-table chi_traffic_2020_Q1 20.796 s 2.034
2023-01-18 23:44 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 77.190 s 0.452
2023-01-18 23:48 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 86.815 s -1.379
2023-01-18 23:35 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.163 s -1.253
2023-01-18 23:39 Python dataframe-to-table type_floats 0.010 s 0.139
2023-01-18 23:39 Python dataframe-to-table type_strings 0.424 s 1.021
2023-01-18 23:39 Python dataframe-to-table type_integers 0.010 s -0.145
2023-01-18 23:40 Python dataframe-to-table type_nested 2.965 s 0.067
2023-01-19 00:00 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.301 s 0.228
2023-01-19 00:00 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.200 s 0.070
2023-01-19 00:01 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.173 s -1.316
2023-01-19 00:00 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.182 s 0.212
2023-01-19 00:00 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.173 s -0.445
2023-01-19 00:01 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -1.467
2023-01-19 00:01 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.024
2023-01-19 00:02 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.267 s 3.510
2023-01-19 00:00 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.030 s 0.298
2023-01-19 00:05 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.394 s -1.598
2023-01-19 00:00 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.037 s 0.279
2023-01-19 00:05 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.206
2023-01-18 23:59 Python dataset-read async=True, nyctaxi_multi_ipc_s3 226.241 s -0.355
2023-01-19 00:00 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.937 s -4.270
2023-01-19 00:01 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.767
2023-01-19 00:00 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.198 s 0.315
2023-01-19 00:01 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.130
2023-01-19 00:01 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.942 s -1.698
2023-01-19 00:01 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.731 s 3.472
2023-01-19 00:01 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.312
2023-01-19 00:06 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.028
2023-01-19 00:13 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.836 s 3.371
2023-01-19 00:13 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.362 s 3.527
2023-01-19 00:13 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.289 s -1.395
2023-01-19 00:13 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.096
2023-01-19 00:13 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.800
2023-01-19 00:14 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.071 s -1.687
2023-01-19 00:14 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.255
2023-01-19 00:14 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.489
2023-01-19 00:15 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.390 s 3.488
2023-01-19 00:18 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.131 s -1.674
2023-01-19 00:18 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.406 s 0.253
2023-01-19 00:19 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.407 s 0.965
2023-01-19 00:27 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.237 s 3.492
2023-01-19 00:27 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.638 s 0.203
2023-01-19 00:28 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.619 s 0.331
2023-01-19 00:27 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.509 s -0.348
2023-01-19 00:28 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.498 s -0.053
2023-01-19 00:28 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.316 s 0.334
2023-01-19 00:27 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.616 s 0.270
2023-01-19 00:28 Python file-read lz4, feather, table, fanniemae_2016Q4 0.806 s 0.484
2023-01-19 00:29 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.197 s 0.520
2023-01-19 00:30 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.974 s 0.109
2023-01-19 00:31 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.588 s 0.326
2023-01-19 00:31 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.326 s 0.417
2023-01-19 00:30 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.984 s 0.034
2023-01-19 00:30 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.937 s 0.021
2023-01-19 00:30 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.939 s -0.023
2023-01-19 00:31 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.929 s 0.344
2023-01-19 00:31 Python file-read lz4, feather, table, nyctaxi_2010-01 0.677 s 0.287
2023-01-19 00:31 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.849 s -1.779
2023-01-19 00:33 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.305 s -1.126
2023-01-19 00:33 Python file-write snappy, parquet, table, fanniemae_2016Q4 11.018 s -1.475
2023-01-19 00:35 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.370 s -0.163
2023-01-19 00:34 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.515 s -1.324
2023-01-19 00:35 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.290 s -0.174
2023-01-19 00:35 Python file-write lz4, feather, table, fanniemae_2016Q4 1.859 s -0.025
2023-01-19 00:36 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.874 s 0.173
2023-01-19 00:37 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.439 s -0.879
2023-01-19 00:36 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.887 s -0.371
2023-01-19 00:38 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.204 s -0.330
2023-01-19 00:37 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.807 s -0.661
2023-01-19 00:38 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.319 s -0.854
2023-01-19 00:38 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.227 s -0.223
2023-01-19 00:38 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.761 s -0.154
2023-01-19 00:38 Python file-write lz4, feather, table, nyctaxi_2010-01 1.785 s -0.012
2023-01-19 00:39 Python wide-dataframe use_legacy_dataset=true 0.379 s 0.021
2023-01-19 00:39 Python wide-dataframe use_legacy_dataset=false 0.526 s -0.824
2023-01-19 00:47 R dataframe-to-table type_integers, R 0.010 s 0.494
2023-01-19 00:47 R dataframe-to-table type_strings, R 0.535 s -0.089
2023-01-19 00:48 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -0.586
2023-01-19 00:50 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.917 s -0.164
2023-01-19 00:50 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.298
2023-01-19 00:47 R dataframe-to-table chi_traffic_2020_Q1, R 4.381 s -0.970
2023-01-19 00:50 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.816 s 0.305
2023-01-19 00:49 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.317 s 0.246
2023-01-19 00:51 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.908 s 0.251
2023-01-19 00:50 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.568 s -0.181
2023-01-19 00:50 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.922 s -0.340
2023-01-19 00:47 R dataframe-to-table type_dict, R 0.064 s -1.083
2023-01-19 00:48 R dataframe-to-table type_floats, R 0.013 s 0.451
2023-01-19 00:48 R dataframe-to-table type_nested, R 0.574 s -0.165
2023-01-19 00:48 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.324 s -0.469
2023-01-19 00:49 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.590 s -0.973
2023-01-19 00:49 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.572 s 0.247
2023-01-19 00:49 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.608 s 0.205
2023-01-19 00:51 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.582 s 0.286
2023-01-19 00:52 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.965 s -1.390
2023-01-19 00:49 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.324 s -0.528
2023-01-19 00:49 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.857 s 0.235
2023-01-19 00:50 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.566 s -0.126
2023-01-19 01:01 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.001 s -0.696
2023-01-19 00:56 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.426 s -1.630
2023-01-19 01:04 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.727 s -0.627
2023-01-19 01:05 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.769 s -0.590
2023-01-19 00:54 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.927 s -1.422
2023-01-19 00:59 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.499 s -2.166
2023-01-19 01:01 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.483 s 0.292
2023-01-19 01:06 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.310 s 0.133
2023-01-19 00:59 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.997 s 0.931
2023-01-19 00:55 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.376 s -1.378
2023-01-19 00:57 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.968 s -1.401
2023-01-19 01:09 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.244 s 0.140
2023-01-19 01:03 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.812 s -0.566
2023-01-19 01:07 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.466 s 2.041
2023-01-19 01:08 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.569 s -0.269
2023-01-19 01:09 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.611 s -0.681
2023-01-19 01:10 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.593 s -0.229
2023-01-19 01:10 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.003 s 0.218
2023-01-19 01:12 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.432 s 0.214
2023-01-19 01:12 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.668 s -0.754
2023-01-19 01:09 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.318 s -0.976
2023-01-19 01:11 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.157
2023-01-19 01:12 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.147
2023-01-19 01:09 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.249 s 0.631
2023-01-19 01:12 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.272 s 0.086
2023-01-19 01:12 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.305 s 0.186
2023-01-19 01:06 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.184 s -0.531
2023-01-19 01:08 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.087 s -0.657
2023-01-19 01:10 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.336 s -5.869
2023-01-19 01:11 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.877 s -0.603
2023-01-19 01:09 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.202 s 0.141
2023-01-19 01:13 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.146
2023-01-19 01:09 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.604 s -1.112
2023-01-19 01:09 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.201 s 0.198
2023-01-19 01:11 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.125
2023-01-19 01:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.109
2023-01-19 01:12 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.066 s -0.418
2023-01-19 01:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.180
2023-01-19 01:12 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.187
2023-01-19 01:13 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.589 s 0.115
2023-01-19 01:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.010
2023-01-19 01:13 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.889 s 0.467
2023-01-19 01:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.335
2023-01-19 01:14 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.557 s -0.104
2023-01-19 01:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.243 s 0.269
2023-01-19 01:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.308
2023-01-19 01:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.234 s 0.263
2023-01-19 01:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.251
2023-01-19 01:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s 0.358
2023-01-19 01:15 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.217 s -0.373
2023-01-19 01:15 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.912 s 0.319
2023-01-19 01:15 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.262 s 0.130
2023-01-19 01:15 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.315 s 0.209
2023-01-19 01:16 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.352 s 0.207
2023-01-19 01:16 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.186
2023-01-19 01:16 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.316 s 0.544
2023-01-19 01:17 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.636 s -0.016
2023-01-19 01:16 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.641 s 0.126
2023-01-19 01:17 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.204 s 0.136
2023-01-19 01:17 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.162 s 0.173
2023-01-19 01:17 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.162 s 0.154
2023-01-19 01:18 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.179 s 0.215
2023-01-19 01:18 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.280 s -0.179
2023-01-19 01:17 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.790 s -0.991
2023-01-19 01:18 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.351 s 0.344
2023-01-19 01:17 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.235 s 0.234
2023-01-19 01:18 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.509 s 0.134
2023-01-19 01:19 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.342 s 0.281
2023-01-19 01:19 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.292 s 0.278
2023-01-19 01:19 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.341 s -1.668
2023-01-19 01:20 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.750 s -1.698
2023-01-19 01:19 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.477 s -2.102
2023-01-19 01:20 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.436 s -2.896
2023-01-19 01:21 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.636 s -0.034
2023-01-19 01:20 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.783 s 0.261
2023-01-19 01:21 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.300
2023-01-19 01:21 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.396 s 0.298
2023-01-19 01:21 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.430 s 0.209
2023-01-19 01:21 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.229
2023-01-19 01:21 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.335 s 0.249
2023-01-19 01:22 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.716 s 0.214
2023-01-19 01:22 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.780 s -0.066
2023-01-19 01:23 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.284
2023-01-19 01:22 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.615 s 0.128
2023-01-19 01:23 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.273 s 0.229
2023-01-19 01:23 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.326 s 0.251
2023-01-19 01:23 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.772 s 0.155
2023-01-19 01:23 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.373 s 0.270
2023-01-19 01:23 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.442 s 0.146
2023-01-19 01:24 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.974 s -0.773
2023-01-19 01:25 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.302 s 0.218
2023-01-19 01:24 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.157 s -0.105
2023-01-19 01:25 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.323 s 0.089
2023-01-19 01:25 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.338 s 0.192
2023-01-19 01:24 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.257 s 0.150
2023-01-19 01:25 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.653 s 0.161
2023-01-19 01:25 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.260 s 0.238
2023-01-19 01:26 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.220
2023-01-19 01:26 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.871 s 0.470
2023-01-19 01:26 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.211 s 0.129
2023-01-19 01:26 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.764 s -0.169
2023-01-19 01:26 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.263 s 0.154
2023-01-19 01:27 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.306 s 0.170
2023-01-19 01:27 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.542 s -0.093
2023-01-19 01:27 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.273 s -0.531
2023-01-19 01:28 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.256 s 0.166
2023-01-19 01:27 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s 0.333
2023-01-19 01:27 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.862 s 0.579
2023-01-19 01:28 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.210 s 0.196
2023-01-19 01:28 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.306 s -0.198
2023-01-19 01:28 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.368 s 0.043
2023-01-19 01:28 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.494 s -0.836
2023-01-19 01:28 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.918 s -0.342
2023-01-19 01:29 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.700 s -1.510
2023-01-19 01:30 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.241 s 0.031
2023-01-19 01:30 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.181
2023-01-19 01:29 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.678 s -0.839
2023-01-19 01:30 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.430 s -0.076
2023-01-19 01:30 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.331 s 0.178
2023-01-19 01:31 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.523 s -0.259
2023-01-19 01:30 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.864 s -0.190
2023-01-19 01:30 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.610 s -0.721
2023-01-19 01:31 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.433 s -1.166
2023-01-19 01:31 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.268 s 0.226
2023-01-19 01:32 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.938 s 0.053
2023-01-19 01:32 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.443 s 0.021
2023-01-19 01:31 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.217 s 0.189
2023-01-19 01:32 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.232
2023-01-19 01:32 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.335 s 0.205
2023-01-19 01:32 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.563 s -0.277
2023-01-19 01:33 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.209 s 0.266
2023-01-19 01:34 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.280 s -2.651
2023-01-19 01:33 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.054 s -0.495
2023-01-19 01:33 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.278 s -0.369
2023-01-19 01:34 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.616 s 0.138
2023-01-19 01:34 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.243 s 0.212
2023-01-19 01:34 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.594 s 0.039
2023-01-19 01:34 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.307 s -0.310
2023-01-19 01:35 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.239 s 0.272
2023-01-19 01:35 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.222 s 0.242
2023-01-19 01:35 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.327 s 0.115
2023-01-19 01:35 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.609 s -0.199
2023-01-19 01:36 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.526 s 0.274
2023-01-19 01:35 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.262
2023-01-19 01:35 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.290
2023-01-19 01:36 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.091 s 0.130
2023-01-19 01:36 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.884 s 0.223
2023-01-19 01:37 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.248
2023-01-19 01:36 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.294
2023-01-19 01:36 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.269 s 0.233
2023-01-19 01:37 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.322 s 0.284
2023-01-19 01:37 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.965 s 0.245
2023-01-19 01:38 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.263
2023-01-19 01:39 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.409 s -0.148
2023-01-19 01:43 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s 0.099
2023-01-19 01:38 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.048 s -0.418
2023-01-19 01:39 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.536 s 0.203
2023-01-19 01:42 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.670 s -1.384
2023-01-19 01:40 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.344 s -0.611
2023-01-19 01:40 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.397 s -2.657
2023-01-19 01:45 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.455 s -0.235
2023-01-19 01:37 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.254
2023-01-19 01:39 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.261
2023-01-19 01:41 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.444 s 0.085
2023-01-19 01:37 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.667 s 0.130
2023-01-19 01:39 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.450 s 0.122
2023-01-19 01:41 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.892 s -0.477
2023-01-19 01:44 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s 0.043
2023-01-19 01:45 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.735 s -0.677
2023-01-19 01:38 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.242 s 0.256
2023-01-19 01:43 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.323 s 0.070
2023-01-19 01:44 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.604 s 0.100
2023-01-19 01:38 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.254
2023-01-19 01:50 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.020 s -1.025
2023-01-19 01:50 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.199 s 0.103
2023-01-19 01:50 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.246
2023-01-19 01:40 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.274 s 0.050
2023-01-19 01:41 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.472 s -2.490
2023-01-19 01:41 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.349 s -0.586
2023-01-19 01:42 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.533 s -1.613
2023-01-19 01:43 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.085
2023-01-19 01:43 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.968 s 0.038
2023-01-19 01:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.931 s -0.316
2023-01-19 01:50 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.244 s 0.170
2023-01-19 01:43 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.374 s 0.062
2023-01-19 01:59 JavaScript vectorFromArray dictionary 0.017 s -0.610
2023-01-19 01:43 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.059
2023-01-19 01:45 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.791 s 0.251
2023-01-19 01:45 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.167 s -0.764
2023-01-19 01:51 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.350 s -0.337
2023-01-19 01:44 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.217 s -0.568
2023-01-19 01:50 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.261 s 0.220
2023-01-19 01:45 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.895 s -0.744
2023-01-19 01:59 JavaScript Spread Vector uint8Array 0.006 s 0.172
2023-01-19 01:51 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.155
2023-01-19 01:59 JavaScript Iterate Vector int8Array 0.002 s -1.811
2023-01-19 01:59 JavaScript Iterate Vector int32Array 0.002 s -3.322
2023-01-19 01:59 JavaScript Spread Vector uint16Array 0.006 s 0.210
2023-01-19 01:59 JavaScript Spread Vector uint64Array 0.012 s 1.595
2023-01-19 01:59 JavaScript toArray Vector string 0.143 s 1.622
2023-01-19 01:50 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.217
2023-01-19 01:59 JavaScript Iterate Vector uint32Array 0.002 s -2.329
2023-01-19 01:59 JavaScript Spread Vector int8Array 0.006 s 0.190
2023-01-19 01:59 JavaScript toArray Vector uint8Array
2023-01-19 01:59 JavaScript Spread Vector booleans 0.010 s -0.408
2023-01-19 01:59 JavaScript toArray Vector booleans 0.010 s -0.345
2023-01-19 02:00 JavaScript get Vector booleans 0.002 s 0.456
2023-01-19 01:50 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.457 s -0.031
2023-01-19 01:59 JavaScript vectorFromArray booleans 0.018 s 0.042
2023-01-19 01:59 JavaScript Iterate Vector dictionary 0.004 s -0.559
2023-01-19 01:59 JavaScript vectorFromArray numbers 0.016 s 0.404
2023-01-19 01:59 JavaScript get Vector int16Array 0.003 s 0.931
2023-01-19 02:00 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.661
2023-01-19 02:00 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.069
2023-01-19 01:59 JavaScript Iterate Vector uint8Array 0.002 s -1.628
2023-01-19 01:59 JavaScript Iterate Vector numbers 0.002 s -2.373
2023-01-19 01:59 JavaScript toArray Vector int8Array
2023-01-19 02:00 JavaScript get Vector string 0.123 s 1.087
2023-01-19 01:59 JavaScript Iterate Vector uint16Array 0.002 s -3.200
2023-01-19 01:59 JavaScript toArray Vector uint16Array
2023-01-19 02:00 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.100
2023-01-19 02:00 JavaScript Table tracks, 1,000,000 0.259 s 0.637
2023-01-19 01:59 JavaScript Iterate Vector uint64Array 0.004 s 1.097
2023-01-19 01:59 JavaScript Iterate Vector int16Array 0.002 s -3.091
2023-01-19 01:59 JavaScript Iterate Vector int64Array 0.004 s 0.777
2023-01-19 01:59 JavaScript Iterate Vector float64Array 0.002 s -2.268
2023-01-19 01:59 JavaScript Iterate Vector booleans 0.004 s -1.805
2023-01-19 01:59 JavaScript Iterate Vector string 0.125 s 0.835
2023-01-19 01:59 JavaScript Iterate Vector float32Array 0.002 s -1.516
2023-01-19 01:59 JavaScript Spread Vector int32Array 0.007 s -0.261
2023-01-19 01:59 JavaScript Spread Vector float32Array 0.008 s 0.507
2023-01-19 01:59 JavaScript Spread Vector numbers 0.008 s -0.057
2023-01-19 01:59 JavaScript Spread Vector dictionary 0.010 s 1.008
2023-01-19 01:59 JavaScript get Vector int32Array 0.002 s 1.503
2023-01-19 01:59 JavaScript Spread Vector uint32Array 0.007 s 0.354
2023-01-19 01:59 JavaScript toArray Vector float32Array
2023-01-19 01:59 JavaScript toArray Vector numbers
2023-01-19 02:00 JavaScript get Vector dictionary 0.002 s 0.083
2023-01-19 02:00 JavaScript Parse read recordBatches, tracks 0.000 s -45.935
2023-01-19 02:00 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.561
2023-01-19 01:59 JavaScript Spread Vector int16Array 0.007 s 0.106
2023-01-19 01:59 JavaScript Spread Vector int64Array 0.012 s 1.471
2023-01-19 01:59 JavaScript Spread Vector float64Array 0.008 s -0.135
2023-01-19 01:59 JavaScript Spread Vector string 0.141 s 2.545
2023-01-19 01:59 JavaScript toArray Vector uint64Array
2023-01-19 01:59 JavaScript toArray Vector int16Array
2023-01-19 01:59 JavaScript toArray Vector int64Array
2023-01-19 01:59 JavaScript toArray Vector uint32Array
2023-01-19 01:59 JavaScript toArray Vector dictionary 0.010 s 1.408
2023-01-19 01:59 JavaScript get Vector int8Array 0.003 s 0.340
2023-01-19 01:59 JavaScript toArray Vector int32Array
2023-01-19 02:00 JavaScript Parse write recordBatches, tracks 0.002 s -5.446
2023-01-19 02:00 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.509
2023-01-19 02:00 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.415
2023-01-19 01:59 JavaScript toArray Vector float64Array
2023-01-19 01:59 JavaScript get Vector uint64Array 0.003 s 1.421
2023-01-19 02:00 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 02:00 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.185 s 1.530
2023-01-19 01:59 JavaScript get Vector uint8Array 0.003 s 1.136
2023-01-19 01:59 JavaScript get Vector uint32Array 0.003 s 1.005
2023-01-19 02:00 JavaScript get Vector float32Array 0.002 s -0.760
2023-01-19 02:00 JavaScript get Vector numbers 0.002 s 0.536
2023-01-19 02:00 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.802
2023-01-19 02:00 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-19 01:59 JavaScript get Vector uint16Array 0.003 s 1.256
2023-01-19 01:59 JavaScript get Vector int64Array 0.003 s 1.162
2023-01-19 02:00 JavaScript get Vector float64Array 0.002 s -0.064
2023-01-19 02:00 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-19 02:00 JavaScript Table tracks, 1,000,000 0.096 s -1.466
2023-01-19 02:00 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.033 s -4.963
2023-01-19 02:00 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.605
2023-01-19 02:00 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.157
2023-01-19 02:00 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.401
2023-01-19 02:00 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.590
2023-01-19 02:00 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.681
2023-01-19 02:00 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.167
2023-01-19 02:00 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.181
2023-01-19 02:00 JavaScript Table tracks, 1,000,000 0.050 s 0.302
2023-01-19 02:00 JavaScript Table 1,000,000, tracks 0.260 s 0.751
2023-01-19 02:00 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.156
2023-01-19 02:00 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.365
2023-01-19 02:00 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 02:00 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.407