Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-19 16:22 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.459 s 1.042
2023-01-19 16:24 Python dataframe-to-table chi_traffic_2020_Q1 21.113 s -0.378
2023-01-19 16:25 Python dataset-filter nyctaxi_2010-01 1.020 s -0.229
2023-01-19 16:22 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.378 s 1.080
2023-01-19 16:25 Python dataframe-to-table type_nested 2.950 s 0.950
2023-01-19 16:20 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.169 s -1.216
2023-01-19 16:21 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.166 s -1.277
2023-01-19 16:21 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.113 s 0.260
2023-01-19 16:24 Python dataframe-to-table type_dict 0.011 s 0.002
2023-01-19 16:24 Python dataframe-to-table type_floats 0.010 s 0.280
2023-01-19 16:19 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.244 s 0.178
2023-01-19 16:21 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.428 s 1.727
2023-01-19 16:24 Python dataframe-to-table type_strings 0.427 s 0.148
2023-01-19 16:19 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.767 s 1.242
2023-01-19 16:29 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 77.396 s 0.406
2023-01-19 16:24 Python dataframe-to-table type_integers 0.010 s 0.004
2023-01-19 16:33 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.478 s 0.259
2023-01-19 16:44 Python dataset-read async=True, nyctaxi_multi_ipc_s3 217.206 s 0.834
2023-01-19 16:44 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.226 s 0.149
2023-01-19 16:45 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.945 s -1.628
2023-01-19 16:50 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.156 s -2.023
2023-01-19 16:45 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.176 s -0.498
2023-01-19 16:45 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.131
2023-01-19 16:45 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.127
2023-01-19 16:44 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.397 s -0.379
2023-01-19 16:46 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.264 s 2.548
2023-01-19 16:46 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.360
2023-01-19 16:58 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.438
2023-01-19 16:44 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.198 s 0.122
2023-01-19 16:44 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.306 s 0.175
2023-01-19 16:45 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.731 s 2.546
2023-01-19 17:02 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.181 s -1.544
2023-01-19 17:03 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.412 s -0.837
2023-01-19 16:45 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -0.927
2023-01-19 16:49 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.431 s -1.603
2023-01-19 16:58 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 0.867
2023-01-19 16:44 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.041 s 0.249
2023-01-19 16:45 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.681 s 0.239
2023-01-19 16:45 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.421
2023-01-19 16:45 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.036 s 0.264
2023-01-19 16:45 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.210 s -0.365
2023-01-19 16:45 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.128 s 0.329
2023-01-19 16:58 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.146
2023-01-19 16:58 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.894
2023-01-19 16:58 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.835 s 2.575
2023-01-19 16:50 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.149 s 0.484
2023-01-19 16:57 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.290 s -1.450
2023-01-19 17:17 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.637 s -0.653
2023-01-19 17:19 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.874 s -0.255
2023-01-19 17:20 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.762 s -0.298
2023-01-19 16:57 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.349 s 2.555
2023-01-19 16:59 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.383 s 2.585
2023-01-19 17:13 Python file-read lz4, feather, table, nyctaxi_2010-01 0.672 s 0.303
2023-01-19 17:18 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.542 s -0.679
2023-01-19 17:20 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.371 s -0.376
2023-01-19 17:30 R dataframe-to-table chi_traffic_2020_Q1, R 4.345 s -0.408
2023-01-19 17:31 R dataframe-to-table type_nested, R 0.574 s -0.221
2023-01-19 17:31 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.415 s -6.284
2023-01-19 17:32 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.229
2023-01-19 16:58 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.075 s -1.531
2023-01-19 17:11 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.170 s 2.604
2023-01-19 17:12 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 7.089 s -4.013
2023-01-19 17:13 Python file-read lz4, feather, table, fanniemae_2016Q4 0.921 s -2.692
2023-01-19 17:18 Python file-write lz4, feather, table, fanniemae_2016Q4 1.892 s -0.379
2023-01-19 17:21 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.120 s -0.077
2023-01-19 17:21 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.212 s -0.174
2023-01-19 17:21 Python wide-dataframe use_legacy_dataset=false 0.514 s 0.262
2023-01-19 17:30 R dataframe-to-table type_strings, R 0.534 s 0.261
2023-01-19 17:32 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.571 s -0.148
2023-01-19 17:12 Python file-read uncompressed, feather, table, fanniemae_2016Q4 3.716 s -3.880
2023-01-19 17:15 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.398 s -1.348
2023-01-19 17:32 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.571 s 0.192
2023-01-19 17:03 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.411 s -1.154
2023-01-19 17:12 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.630 s -0.022
2023-01-19 17:12 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.508 s -0.380
2023-01-19 17:13 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.988 s -0.085
2023-01-19 17:13 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.918 s 0.252
2023-01-19 17:13 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.311 s 0.566
2023-01-19 17:14 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.723 s -0.919
2023-01-19 17:11 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.636 s 0.147
2023-01-19 17:12 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.536 s -1.742
2023-01-19 17:16 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.996 s -1.176
2023-01-19 17:19 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 11.383 s -4.093
2023-01-19 17:21 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.693 s 0.037
2023-01-19 17:33 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.566 s -0.248
2023-01-19 17:13 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.308 s -2.290
2023-01-19 17:13 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.932 s 0.059
2023-01-19 17:13 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.575 s 0.355
2023-01-19 17:30 R dataframe-to-table type_floats, R 0.013 s 0.910
2023-01-19 17:32 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.591 s 0.264
2023-01-19 17:35 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.963 s -1.190
2023-01-19 17:13 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.973 s 0.089
2023-01-19 17:13 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.933 s 0.283
2023-01-19 17:20 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.260 s -0.363
2023-01-19 17:21 Python file-write lz4, feather, table, nyctaxi_2010-01 1.786 s -0.104
2023-01-19 17:34 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.579 s 0.212
2023-01-19 17:17 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.542 s -1.250
2023-01-19 17:21 Python wide-dataframe use_legacy_dataset=true 0.374 s 0.465
2023-01-19 17:32 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.327 s -0.670
2023-01-19 17:33 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.562 s -0.117
2023-01-19 17:33 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.213 s 0.273
2023-01-19 17:34 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 1.512 s -3.479
2023-01-19 17:30 R dataframe-to-table type_dict, R 0.063 s -0.891
2023-01-19 17:31 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.641 s -3.867
2023-01-19 17:33 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.913 s -0.215
2023-01-19 17:33 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.918 s -0.361
2023-01-19 17:30 R dataframe-to-table type_integers, R 0.010 s -0.392
2023-01-19 17:32 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.848 s 0.270
2023-01-19 17:33 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.821 s 0.215
2023-01-19 17:38 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.369 s -1.158
2023-01-19 17:37 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.975 s -1.465
2023-01-19 17:40 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.404 s -1.321
2023-01-19 17:40 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.959 s 0.067
2023-01-19 17:42 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.079 s -0.986
2023-01-19 17:42 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.490 s 1.014
2023-01-19 17:44 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.535 s -0.885
2023-01-19 17:45 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.004 s -0.632
2023-01-19 17:46 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.822 s -0.589
2023-01-19 17:47 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.732 s -0.586
2023-01-19 17:48 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.769 s -0.506
2023-01-19 17:49 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.312 s -0.555
2023-01-19 17:50 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.181 s -0.608
2023-01-19 17:50 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 1.095
2023-01-19 17:52 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.566 s 0.237
2023-01-19 17:51 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.080 s -0.449
2023-01-19 17:51 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.555 s 0.505
2023-01-19 17:52 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.249 s 0.593
2023-01-19 17:52 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.251
2023-01-19 17:52 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.592 s 0.687
2023-01-19 17:52 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.214
2023-01-19 17:52 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.199 s 0.295
2023-01-19 17:53 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.591 s -0.244
2023-01-19 17:53 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.202
2023-01-19 17:53 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.001 s 0.604
2023-01-19 17:53 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s 0.269
2023-01-19 17:54 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.872 s -0.530
2023-01-19 17:54 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.172
2023-01-19 17:54 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.315
2023-01-19 17:54 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.348 s 0.150
2023-01-19 17:54 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.101
2023-01-19 17:54 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.336 s -0.002
2023-01-19 17:55 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.677 s -1.519
2023-01-19 17:54 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.433 s 0.078
2023-01-19 17:55 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.060 s -0.261
2023-01-19 17:55 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.302 s 0.231
2023-01-19 17:55 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s -0.000
2023-01-19 17:55 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.167
2023-01-19 17:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.298 s 0.409
2023-01-19 17:55 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.192
2023-01-19 17:56 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.592 s -0.110
2023-01-19 17:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.884 s 0.761
2023-01-19 17:57 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.550 s -0.125
2023-01-19 17:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.197 s 0.346
2023-01-19 17:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.211
2023-01-19 17:57 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.240 s 0.290
2023-01-19 17:57 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.231 s 0.321
2023-01-19 17:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.268 s 0.614
2023-01-19 17:58 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.905 s 0.757
2023-01-19 17:58 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s 0.227
2023-01-19 17:58 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.118
2023-01-19 17:59 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.318 s 0.386
2023-01-19 17:58 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.204 s -0.335
2023-01-19 17:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.351 s 0.153
2023-01-19 17:58 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.313 s 0.171
2023-01-19 17:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.638 s 0.157
2023-01-19 17:59 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.101
2023-01-19 18:00 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.176
2023-01-19 18:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.243 s -6.126
2023-01-19 18:00 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s 0.063
2023-01-19 18:00 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.321 s -5.988
2023-01-19 18:00 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.768 s -0.862
2023-01-19 18:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.204 s -2.366
2023-01-19 18:01 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.509 s 0.047
2023-01-19 18:02 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.352 s 0.232
2023-01-19 18:01 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.363 s -4.798
2023-01-19 18:02 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.282 s -0.300
2023-01-19 18:02 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.262
2023-01-19 18:02 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.338 s 0.307
2023-01-19 18:03 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.276
2023-01-19 18:02 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.292 s 0.301
2023-01-19 18:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.372 s 0.299
2023-01-19 18:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.661 s 0.160
2023-01-19 18:03 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.781 s 0.267
2023-01-19 18:04 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.670 s -0.411
2023-01-19 18:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.251
2023-01-19 18:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.393 s 0.283
2023-01-19 18:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.147
2023-01-19 18:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.149
2023-01-19 18:05 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.371 s 0.053
2023-01-19 18:05 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.718 s 0.074
2023-01-19 18:06 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.801 s -0.372
2023-01-19 18:05 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.614 s 0.079
2023-01-19 18:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.270 s 0.285
2023-01-19 18:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.217
2023-01-19 18:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.441 s 0.142
2023-01-19 18:06 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.287
2023-01-19 18:06 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.269
2023-01-19 18:07 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.773 s 0.044
2023-01-19 18:07 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.959 s 0.143
2023-01-19 18:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.254 s 0.338
2023-01-19 18:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.198
2023-01-19 18:07 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.149 s -0.145
2023-01-19 18:08 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.204
2023-01-19 18:08 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.297 s 0.328
2023-01-19 18:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.161
2023-01-19 18:08 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.660 s -0.278
2023-01-19 18:09 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.869 s 0.652
2023-01-19 18:09 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.211 s 0.100
2023-01-19 18:09 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.768 s -0.268
2023-01-19 18:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.235 s -0.164
2023-01-19 18:09 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.260 s 0.218
2023-01-19 18:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s 0.276
2023-01-19 18:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.302 s 0.273
2023-01-19 18:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.540 s -0.076
2023-01-19 18:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.860 s 0.748
2023-01-19 18:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.365 s 0.152
2023-01-19 18:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.254 s 0.265
2023-01-19 18:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.269
2023-01-19 18:11 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.263 s -0.434
2023-01-19 18:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.498 s -1.008
2023-01-19 18:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.304 s -0.072
2023-01-19 18:12 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.927 s -0.450
2023-01-19 18:18 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.291
2023-01-19 18:12 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.698 s -1.285
2023-01-19 18:13 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.509 s -0.303
2023-01-19 18:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.239 s 0.090
2023-01-19 18:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.185 s 0.099
2023-01-19 18:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.332 s 0.110
2023-01-19 18:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.612 s -0.662
2023-01-19 18:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.428 s 0.068
2023-01-19 18:14 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.861 s -0.011
2023-01-19 18:14 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.446 s -1.163
2023-01-19 18:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.265 s 0.314
2023-01-19 18:14 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.517 s -0.143
2023-01-19 18:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.445 s -0.073
2023-01-19 18:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.215 s 0.249
2023-01-19 18:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.240
2023-01-19 18:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.334 s 0.215
2023-01-19 18:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.939 s 0.035
2023-01-19 18:16 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.560 s -0.186
2023-01-19 18:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s 0.316
2023-01-19 18:16 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.991 s -0.203
2023-01-19 18:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.243
2023-01-19 18:16 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.339
2023-01-19 18:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.280
2023-01-19 18:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.283 s 0.323
2023-01-19 18:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.591 s 0.059
2023-01-19 18:18 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.624 s -0.369
2023-01-19 18:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.194 s 0.315
2023-01-19 18:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.219 s 0.350
2023-01-19 18:18 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.613 s -0.308
2023-01-19 18:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.895 s -0.490
2023-01-19 18:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.234
2023-01-19 18:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.386 s -3.481
2023-01-19 18:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.659 s -3.453
2023-01-19 18:20 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.232 s -1.005
2023-01-19 18:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.297 s -3.339
2023-01-19 18:20 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.374 s -2.905
2023-01-19 18:21 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.324 s 0.215
2023-01-19 18:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.257
2023-01-19 18:21 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.966 s 0.255
2023-01-19 18:21 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.261
2023-01-19 18:21 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.666 s 0.209
2023-01-19 18:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.288
2023-01-19 18:22 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.968 s -0.189
2023-01-19 18:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.315
2023-01-19 18:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.263 s 0.294
2023-01-19 18:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.231
2023-01-19 18:23 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.407 s 0.069
2023-01-19 18:23 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.541 s 0.088
2023-01-19 18:23 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.453 s 0.152
2023-01-19 18:24 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.316 s -0.280
2023-01-19 18:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.135
2023-01-19 18:24 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.444 s 0.029
2023-01-19 18:24 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.200
2023-01-19 18:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.440 s 0.056
2023-01-19 18:25 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.891 s -0.509
2023-01-19 18:25 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.337 s -0.279
2023-01-19 18:26 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.648 s -0.549
2023-01-19 18:26 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.434 s -0.784
2023-01-19 18:27 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.129
2023-01-19 18:26 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.186
2023-01-19 18:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.153
2023-01-19 18:27 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.064
2023-01-19 18:27 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.289 s -0.053
2023-01-19 18:27 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.970 s -0.049
2023-01-19 18:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.207 s -0.728
2023-01-19 18:28 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.600 s 0.690
2023-01-19 18:28 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.395 s 0.083
2023-01-19 18:28 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.453 s -0.012
2023-01-19 18:29 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.728 s 0.432
2023-01-19 18:29 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.796 s 0.055
2023-01-19 18:29 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.896 s -0.658
2023-01-19 18:29 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.145 s -0.044
2023-01-19 18:32 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.898 s 0.012
2023-01-19 18:34 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.248
2023-01-19 18:34 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.919 s -0.556
2023-01-19 18:34 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.207
2023-01-19 18:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.234
2023-01-19 18:34 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.164
2023-01-19 18:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.240 s 0.306
2023-01-19 18:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.503 s -2.337
2023-01-19 18:35 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.370 s -7.896
2023-01-19 18:35 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.803 s -7.060
2023-01-19 18:44 JavaScript Spread Vector uint16Array 0.006 s 0.399
2023-01-19 18:44 JavaScript Iterate Vector uint8Array 0.002 s -0.413
2023-01-19 18:44 JavaScript Iterate Vector uint16Array 0.002 s 0.177
2023-01-19 18:44 JavaScript toArray Vector int64Array
2023-01-19 18:44 JavaScript vectorFromArray booleans 0.017 s 0.436
2023-01-19 18:44 JavaScript Iterate Vector int32Array 0.002 s 0.279
2023-01-19 18:44 JavaScript vectorFromArray numbers 0.016 s 0.153
2023-01-19 18:44 JavaScript vectorFromArray dictionary 0.017 s -1.782
2023-01-19 18:44 JavaScript Iterate Vector uint32Array 0.002 s -1.304
2023-01-19 18:44 JavaScript Iterate Vector uint64Array 0.004 s 0.726
2023-01-19 18:44 JavaScript Iterate Vector int8Array 0.002 s -0.105
2023-01-19 18:44 JavaScript Iterate Vector booleans 0.004 s 0.433
2023-01-19 18:44 JavaScript Spread Vector uint8Array 0.006 s 0.532
2023-01-19 18:44 JavaScript Iterate Vector int16Array 0.002 s 0.029
2023-01-19 18:44 JavaScript Iterate Vector int64Array 0.004 s 0.948
2023-01-19 18:44 JavaScript Spread Vector string 0.146 s -0.080
2023-01-19 18:44 JavaScript Iterate Vector float32Array 0.002 s -1.596
2023-01-19 18:44 JavaScript Iterate Vector numbers 0.002 s -1.356
2023-01-19 18:44 JavaScript Spread Vector int8Array 0.006 s 0.114
2023-01-19 18:44 JavaScript Iterate Vector float64Array 0.002 s -1.404
2023-01-19 18:44 JavaScript Spread Vector uint64Array 0.012 s 0.797
2023-01-19 18:44 JavaScript toArray Vector float32Array
2023-01-19 18:44 JavaScript Iterate Vector dictionary 0.004 s 1.068
2023-01-19 18:44 JavaScript Iterate Vector string 0.128 s -1.177
2023-01-19 18:44 JavaScript Spread Vector uint32Array 0.007 s 0.168
2023-01-19 18:44 JavaScript Spread Vector int32Array 0.006 s 0.182
2023-01-19 18:44 JavaScript toArray Vector uint32Array
2023-01-19 18:44 JavaScript Spread Vector int64Array 0.012 s 0.965
2023-01-19 18:44 JavaScript toArray Vector uint16Array
2023-01-19 18:44 JavaScript Spread Vector float64Array 0.008 s 0.092
2023-01-19 18:44 JavaScript Spread Vector numbers 0.008 s -0.269
2023-01-19 18:44 JavaScript toArray Vector uint64Array
2023-01-19 18:44 JavaScript toArray Vector int16Array
2023-01-19 18:44 JavaScript Spread Vector int16Array 0.006 s 0.389
2023-01-19 18:44 JavaScript Spread Vector float32Array 0.008 s 0.340
2023-01-19 18:44 JavaScript toArray Vector uint8Array
2023-01-19 18:44 JavaScript toArray Vector int8Array
2023-01-19 18:44 JavaScript Spread Vector booleans 0.010 s 1.095
2023-01-19 18:44 JavaScript Spread Vector dictionary 0.010 s 0.774
2023-01-19 18:44 JavaScript toArray Vector booleans 0.010 s 1.770
2023-01-19 18:44 JavaScript get Vector uint16Array 0.003 s 0.968
2023-01-19 18:44 JavaScript toArray Vector float64Array
2023-01-19 18:44 JavaScript toArray Vector numbers
2023-01-19 18:44 JavaScript get Vector booleans 0.002 s -0.730
2023-01-19 18:44 JavaScript get Vector int16Array 0.003 s 0.654
2023-01-19 18:44 JavaScript get Vector int32Array 0.003 s 0.997
2023-01-19 18:44 JavaScript toArray Vector int32Array
2023-01-19 18:44 JavaScript Parse read recordBatches, tracks 0.000 s -3.600
2023-01-19 18:44 JavaScript toArray Vector dictionary 0.010 s 0.719
2023-01-19 18:44 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.609
2023-01-19 18:45 JavaScript Table 1,000,000, tracks 0.248 s 1.216
2023-01-19 18:44 JavaScript toArray Vector string 0.147 s -0.541
2023-01-19 18:44 JavaScript get Vector uint32Array 0.003 s 1.200
2023-01-19 18:44 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.223
2023-01-19 18:44 JavaScript get Vector uint8Array 0.003 s 1.004
2023-01-19 18:44 JavaScript get Vector int64Array 0.003 s 0.686
2023-01-19 18:44 JavaScript get Vector uint64Array 0.003 s 1.284
2023-01-19 18:44 JavaScript get Vector int8Array 0.003 s 0.745
2023-01-19 18:44 JavaScript get Vector numbers 0.002 s -0.473
2023-01-19 18:44 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.297
2023-01-19 18:44 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.174
2023-01-19 18:44 JavaScript get Vector float32Array 0.002 s 0.487
2023-01-19 18:44 JavaScript get Vector float64Array 0.002 s -0.598
2023-01-19 18:44 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.758
2023-01-19 18:44 JavaScript get Vector dictionary 0.002 s -0.453
2023-01-19 18:44 JavaScript get Vector string 0.126 s -0.650
2023-01-19 18:44 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.587
2023-01-19 18:45 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 18:44 JavaScript Parse write recordBatches, tracks 0.002 s -3.664
2023-01-19 18:44 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.144
2023-01-19 18:44 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.032
2023-01-19 18:45 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s -0.019
2023-01-19 18:44 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.259
2023-01-19 18:44 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.252
2023-01-19 18:44 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.806
2023-01-19 18:45 JavaScript Table tracks, 1,000,000 0.095 s -0.439
2023-01-19 18:45 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 18:45 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.850
2023-01-19 18:44 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.023
2023-01-19 18:44 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-19 18:45 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-19 18:45 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.797
2023-01-19 18:45 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.041
2023-01-19 18:45 JavaScript Table tracks, 1,000,000 0.050 s -1.910
2023-01-19 18:45 JavaScript Table tracks, 1,000,000 0.262 s 0.486
2023-01-19 18:45 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.125
2023-01-19 18:45 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.069
2023-01-19 18:45 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.064