Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-15 19:05 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.604 s 1.658
2022-11-15 19:02 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.266 s -1.186
2022-11-15 19:04 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.424 s 0.147
2022-11-15 19:04 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.130 s -0.094
2022-11-15 19:03 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.921 s 1.546
2022-11-15 19:02 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.678 s 0.414
2022-11-15 19:04 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.811 s 1.824
2022-11-15 19:06 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.498 s 1.800
2022-11-15 19:08 Python dataframe-to-table type_dict 0.011 s 0.339
2022-11-15 19:07 Python dataframe-to-table type_strings 0.449 s -0.189
2022-11-15 19:08 Python dataframe-to-table type_integers 0.011 s -1.928
2022-11-15 19:07 Python dataframe-to-table chi_traffic_2020_Q1 20.126 s 0.637
2022-11-15 19:08 Python dataframe-to-table type_floats 0.011 s 0.168
2022-11-15 19:08 Python dataset-filter nyctaxi_2010-01 1.009 s -0.163
2022-11-15 19:08 Python dataframe-to-table type_nested 2.883 s -1.336
2022-11-15 19:28 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.224 s -0.009
2022-11-15 19:28 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.046 s 0.167
2022-11-15 19:30 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.938 s -1.208
2022-11-15 19:30 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.932 s 0.628
2022-11-15 19:12 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 80.354 s 0.405
2022-11-15 19:31 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.373 s -0.224
2022-11-15 19:16 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.169 s 0.151
2022-11-15 19:32 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.702 s -0.014
2022-11-15 19:35 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.806 s -0.036
2022-11-15 19:37 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.054 s 0.407
2022-11-15 19:29 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.623 s -2.542
2022-11-15 19:30 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.363 s -0.073
2022-11-15 19:28 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.312 s -0.197
2022-11-15 19:30 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.803 s -0.600
2022-11-15 19:31 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.031 s 0.591
2022-11-15 19:29 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.656 s -1.072
2022-11-15 19:30 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.940 s 1.428
2022-11-15 19:30 Python file-read lz4, feather, table, fanniemae_2016Q4 0.817 s 1.017
2022-11-15 19:29 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.219 s -2.543
2022-11-15 19:34 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.011 s -0.013
2022-11-15 19:35 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.874 s -0.309
2022-11-15 19:37 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.527 s -1.242
2022-11-15 19:47 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.584 s -0.945
2022-11-15 19:28 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.580 s -1.823
2022-11-15 19:37 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.514 s 1.247
2022-11-15 19:38 Python file-write lz4, feather, table, nyctaxi_2010-01 1.804 s -1.074
2022-11-15 19:49 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.896 s -0.477
2022-11-15 19:29 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.118 s 0.539
2022-11-15 19:29 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.645 s -1.180
2022-11-15 19:30 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.608 s -0.168
2022-11-15 19:37 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.965 s 0.557
2022-11-15 19:47 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.331 s -1.278
2022-11-15 19:49 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.553 s -1.009
2022-11-15 19:36 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.129 s 0.472
2022-11-15 19:48 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.357
2022-11-15 19:46 R dataframe-to-table type_strings, R 0.535 s 1.263
2022-11-15 19:47 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.331 s -0.930
2022-11-15 19:28 Python dataset-read async=True, nyctaxi_multi_ipc_s3 226.240 s -0.103
2022-11-15 19:30 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.970 s -0.493
2022-11-15 19:47 R dataframe-to-table type_nested, R 0.571 s 0.979
2022-11-15 19:49 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.558 s -0.960
2022-11-15 19:28 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.201 s -0.105
2022-11-15 19:28 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.667 s 0.090
2022-11-15 19:29 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.340 s -1.445
2022-11-15 19:48 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.848 s 0.215
2022-11-15 19:30 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.921 s -0.171
2022-11-15 19:33 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.343 s 0.682
2022-11-15 19:34 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.014 s 0.034
2022-11-15 19:35 Python file-write lz4, feather, table, fanniemae_2016Q4 1.536 s 1.861
2022-11-15 19:29 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.511 s -0.526
2022-11-15 19:28 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.047 s 0.163
2022-11-15 19:28 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.157 s 0.248
2022-11-15 19:55 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.554 s 0.539
2022-11-15 19:30 Python file-read lz4, feather, table, nyctaxi_2010-01 0.680 s 1.504
2022-11-15 19:46 R dataframe-to-table chi_traffic_2020_Q1, R 4.349 s -0.446
2022-11-15 19:38 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.822 s 0.354
2022-11-15 19:46 R dataframe-to-table type_floats, R 0.013 s 0.981
2022-11-15 19:46 R dataframe-to-table type_integers, R 0.010 s 0.313
2022-11-15 19:48 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.578 s -1.080
2022-11-15 19:38 Python wide-dataframe use_legacy_dataset=true 0.431 s -3.953
2022-11-15 19:46 R dataframe-to-table type_dict, R 0.060 s -0.036
2022-11-15 19:49 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.815 s 1.651
2022-11-15 19:53 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.922 s 0.491
2022-11-15 19:36 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.574 s 1.528
2022-11-15 19:38 Python wide-dataframe use_legacy_dataset=false 0.508 s 0.653
2022-11-15 19:52 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.118 s 0.446
2022-11-15 19:48 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.719
2022-11-15 19:48 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.594 s 0.272
2022-11-15 19:49 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.232
2022-11-15 19:49 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.902 s -0.736
2022-11-15 19:50 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s -0.492
2022-11-15 19:50 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.902 s 0.657
2022-11-15 19:51 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.500 s 0.499
2022-11-15 19:56 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.960 s -1.229
2022-11-15 19:57 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.928 s 0.396
2022-11-15 19:58 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.488 s 1.268
2022-11-15 19:59 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.405 s -0.025
2022-11-15 20:00 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.987 s 1.307
2022-11-15 20:01 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.948 s 0.670
2022-11-15 20:07 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.554 s -0.294
2022-11-15 20:12 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.191 s 2.134
2022-11-15 20:05 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.322 s -1.233
2022-11-15 20:08 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.211
2022-11-15 20:09 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.849
2022-11-15 20:13 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.913 s -1.296
2022-11-15 20:17 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.365 s 0.141
2022-11-15 20:19 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s -0.771
2022-11-15 20:26 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.529 s -1.606
2022-11-15 20:28 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.300 s 1.000
2022-11-15 20:10 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.679
2022-11-15 20:11 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.582 s -0.081
2022-11-15 20:13 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.307 s 0.413
2022-11-15 20:16 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.267 s -0.261
2022-11-15 20:20 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.725 s -0.207
2022-11-15 20:22 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.292 s 1.178
2022-11-15 20:23 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.203 s 1.968
2022-11-15 20:25 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.291 s 1.008
2022-11-15 20:25 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.855 s 0.597
2022-11-15 20:24 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.525 s 0.387
2022-11-15 20:03 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.905 s 0.756
2022-11-15 20:06 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.469 s 0.142
2022-11-15 20:07 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.580 s 0.312
2022-11-15 20:04 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.313 s -1.831
2022-11-15 20:07 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.288
2022-11-15 20:09 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.329 s 0.051
2022-11-15 20:22 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 1.372
2022-11-15 20:08 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.488
2022-11-15 20:12 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 1.155
2022-11-15 20:09 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.341 s 0.697
2022-11-15 20:20 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.290 s 1.224
2022-11-15 20:11 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.421
2022-11-15 20:23 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.731 s -0.326
2022-11-15 20:24 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.298 s 0.130
2022-11-15 20:27 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.821 s 0.385
2022-11-15 20:32 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.280 s 0.615
2022-11-15 20:35 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s -0.072
2022-11-15 20:36 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.442 s 2.818
2022-11-15 20:02 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.720 s 1.190
2022-11-15 20:07 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.225 s -1.140
2022-11-15 20:09 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.794
2022-11-15 20:10 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.226 s 1.104
2022-11-15 20:16 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.278 s 1.011
2022-11-15 20:20 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.265 s 1.190
2022-11-15 20:13 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.254 s 1.716
2022-11-15 20:15 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s 0.106
2022-11-15 20:17 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.654 s -0.366
2022-11-15 20:21 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.765 s -0.268
2022-11-15 20:30 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.720 s 0.397
2022-11-15 20:07 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s -0.022
2022-11-15 20:09 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.743 s -0.735
2022-11-15 20:15 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.156 s 1.159
2022-11-15 20:25 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.247 s 0.263
2022-11-15 20:10 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s -0.779
2022-11-15 20:11 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.921 s -0.832
2022-11-15 20:13 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.172 s -0.076
2022-11-15 20:15 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.727 s -0.553
2022-11-15 20:12 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.501 s -0.237
2022-11-15 20:19 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.418 s 0.416
2022-11-15 20:12 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 0.986
2022-11-15 20:14 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.309 s 1.604
2022-11-15 20:15 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.334
2022-11-15 20:17 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.329 s 0.970
2022-11-15 20:07 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.540 s 1.940
2022-11-15 20:07 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.245 s 0.451
2022-11-15 20:08 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.011 s -1.290
2022-11-15 20:09 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.328 s 1.542
2022-11-15 20:10 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.049 s -0.361
2022-11-15 20:12 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.324 s 0.577
2022-11-15 20:14 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.344 s 1.105
2022-11-15 20:14 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.630 s 0.028
2022-11-15 20:22 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.245 s 1.470
2022-11-15 20:08 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s -0.167
2022-11-15 20:08 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.588 s -0.589
2022-11-15 20:16 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.572
2022-11-15 20:17 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.786
2022-11-15 20:18 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.773 s -0.404
2022-11-15 20:19 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.608 s -0.004
2022-11-15 20:23 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.254 s 1.942
2022-11-15 20:24 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.326 s 0.335
2022-11-15 20:11 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.296 s 1.131
2022-11-15 20:12 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.264 s 0.218
2022-11-15 20:17 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.281 s 0.600
2022-11-15 20:18 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.323 s 1.242
2022-11-15 20:18 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.329 s 1.266
2022-11-15 20:32 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.212 s 1.857
2022-11-15 20:33 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.252 s 0.578
2022-11-15 20:10 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.262 s 1.943
2022-11-15 20:16 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s -0.453
2022-11-15 20:18 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.383 s 0.841
2022-11-15 20:20 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 0.923
2022-11-15 20:27 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.589 s -1.493
2022-11-15 20:37 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.432 s -0.500
2022-11-15 20:10 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.221 s 1.314
2022-11-15 20:22 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.331 s -0.242
2022-11-15 20:22 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 1.374
2022-11-15 20:27 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.177 s 0.964
2022-11-15 20:30 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.200 s 1.310
2022-11-15 20:37 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.308 s -0.898
2022-11-15 20:14 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.259 s 1.478
2022-11-15 20:16 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.469
2022-11-15 20:20 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.435 s 0.936
2022-11-15 20:41 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.784 s -1.014
2022-11-15 20:12 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.236 s 1.593
2022-11-15 20:14 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.632 s 0.373
2022-11-15 20:15 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.155 s 0.733
2022-11-15 20:21 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.118 s -0.296
2022-11-15 20:23 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.899 s -0.326
2022-11-15 20:25 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.354 s 0.041
2022-11-15 20:29 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.473 s 0.430
2022-11-15 20:30 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 1.086
2022-11-15 20:20 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.364 s 1.011
2022-11-15 20:24 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.865 s -0.060
2022-11-15 20:25 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.199 s 1.135
2022-11-15 20:28 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.269
2022-11-15 20:29 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s -0.162
2022-11-15 20:30 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.503
2022-11-15 20:31 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.576 s -0.239
2022-11-15 20:18 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.608 s -0.448
2022-11-15 20:22 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.651 s -0.478
2022-11-15 20:27 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s -0.291
2022-11-15 20:29 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.924 s -0.710
2022-11-15 20:30 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.277 s 0.338
2022-11-15 20:19 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.359 s 1.357
2022-11-15 20:21 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.951 s -0.103
2022-11-15 20:27 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.409 s 0.005
2022-11-15 20:29 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.427 s -0.581
2022-11-15 20:31 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.602 s -0.594
2022-11-15 20:25 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.467 s -0.026
2022-11-15 20:38 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.413 s -0.149
2022-11-15 20:39 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.093 s -0.934
2022-11-15 20:28 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.303 s -1.621
2022-11-15 20:33 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.314 s 0.589
2022-11-15 20:36 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.261 s -0.272
2022-11-15 20:37 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.317 s -0.543
2022-11-15 20:39 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.255 s 1.629
2022-11-15 20:24 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.224 s 1.527
2022-11-15 20:31 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.580 s -0.390
2022-11-15 20:35 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.189 s 1.088
2022-11-15 20:46 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.682 s 0.345
2022-11-15 20:24 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.157 s -0.257
2022-11-15 20:28 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.378
2022-11-15 20:47 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.301 s 0.627
2022-11-15 20:26 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.147 s 0.510
2022-11-15 20:41 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.936 s -1.916
2022-11-15 20:27 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.320 s 2.036
2022-11-15 20:33 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.261 s 0.390
2022-11-15 20:40 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.382 s -0.402
2022-11-15 20:31 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 1.050
2022-11-15 20:32 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.187 s 1.617
2022-11-15 20:32 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.321 s 0.996
2022-11-15 20:33 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.563
2022-11-15 20:47 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.304 s -0.230
2022-11-15 20:28 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.202 s 0.910
2022-11-15 20:32 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.890 s -0.370
2022-11-15 20:33 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.214 s 0.633
2022-11-15 20:34 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.659 s 0.864
2022-11-15 20:39 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.365 s 0.769
2022-11-15 20:32 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.521 s 0.749
2022-11-15 20:37 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.427 s -0.429
2022-11-15 20:33 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.034 s 0.732
2022-11-15 20:35 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.205 s 0.555
2022-11-15 20:39 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.255 s 1.367
2022-11-15 20:40 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.941 s -1.401
2022-11-15 20:46 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.236 s 0.858
2022-11-15 20:34 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.973 s -0.828
2022-11-15 20:46 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.192 s 0.940
2022-11-15 20:32 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s 0.217
2022-11-15 20:35 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.401 s 1.590
2022-11-15 20:35 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.530 s 1.133
2022-11-15 20:39 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.315 s 0.860
2022-11-15 20:34 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.791 s -0.900
2022-11-15 20:39 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.286 s 1.282
2022-11-15 20:40 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.600 s 1.148
2022-11-15 20:41 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.722 s -1.342
2022-11-15 20:46 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.197 s 0.858
2022-11-15 20:46 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.225 s -1.855
2022-11-15 20:35 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.237 s 0.524
2022-11-15 20:37 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.861 s -0.006
2022-11-15 20:46 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.255 s 0.621
2022-11-15 20:36 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.235 s -0.252
2022-11-15 20:47 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.444 s 0.837
2022-11-15 20:39 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.956 s -1.301
2022-11-15 20:41 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.436 s 0.462
2022-11-15 20:42 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.131 s -0.455
2022-11-15 20:44 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.279 s -2.085
2022-11-15 20:55 JavaScript Iterate Vector uint8Array 0.002 s -0.150
2022-11-15 20:55 JavaScript Iterate Vector string 0.125 s 0.754
2022-11-15 20:55 JavaScript vectorFromArray dictionary 0.017 s 0.733
2022-11-15 20:55 JavaScript Iterate Vector uint64Array 0.004 s 0.679
2022-11-15 20:56 JavaScript toArray Vector string 0.145 s 0.540
2022-11-15 20:56 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.469
2022-11-15 20:55 JavaScript Iterate Vector int64Array 0.004 s 0.836
2022-11-15 20:55 JavaScript Spread Vector booleans 0.010 s 0.693
2022-11-15 20:55 JavaScript Spread Vector string 0.146 s 0.101
2022-11-15 20:55 JavaScript toArray Vector uint32Array
2022-11-15 20:55 JavaScript Spread Vector uint8Array 0.007 s -0.274
2022-11-15 20:55 JavaScript Spread Vector dictionary 0.010 s 0.947
2022-11-15 20:56 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.018
2022-11-15 20:56 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -1.400
2022-11-15 20:55 JavaScript Spread Vector uint32Array 0.007 s 0.012
2022-11-15 20:55 JavaScript Spread Vector float32Array 0.008 s -0.315
2022-11-15 20:56 JavaScript get Vector uint32Array 0.003 s -0.538
2022-11-15 20:56 JavaScript get Vector int8Array 0.003 s -0.520
2022-11-15 20:56 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.549
2022-11-15 20:55 JavaScript vectorFromArray booleans 0.018 s 0.016
2022-11-15 20:55 JavaScript Iterate Vector uint32Array 0.002 s 0.520
2022-11-15 20:55 JavaScript Iterate Vector int8Array 0.002 s 0.193
2022-11-15 20:55 JavaScript vectorFromArray numbers 0.016 s -0.035
2022-11-15 20:55 JavaScript Iterate Vector uint16Array 0.002 s 0.896
2022-11-15 20:56 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.254
2022-11-15 20:56 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.901
2022-11-15 20:56 JavaScript Table 1,000,000, tracks 0.300 s -1.295
2022-11-15 20:55 JavaScript Spread Vector int16Array 0.007 s -0.318
2022-11-15 20:55 JavaScript Spread Vector int64Array 0.012 s 0.921
2022-11-15 20:55 JavaScript Spread Vector float64Array 0.008 s -0.448
2022-11-15 20:56 JavaScript toArray Vector int64Array
2022-11-15 20:56 JavaScript toArray Vector float64Array
2022-11-15 20:55 JavaScript Iterate Vector int32Array 0.002 s 0.895
2022-11-15 20:55 JavaScript toArray Vector int8Array
2022-11-15 20:56 JavaScript toArray Vector float32Array
2022-11-15 20:56 JavaScript toArray Vector numbers
2022-11-15 20:55 JavaScript Iterate Vector int16Array 0.002 s 0.669
2022-11-15 20:55 JavaScript Iterate Vector float64Array 0.002 s 0.844
2022-11-15 20:55 JavaScript Iterate Vector booleans 0.004 s 0.531
2022-11-15 20:56 JavaScript toArray Vector booleans 0.010 s 0.711
2022-11-15 20:56 JavaScript Parse write recordBatches, tracks 0.002 s -0.386
2022-11-15 20:56 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.635
2022-11-15 20:55 JavaScript Iterate Vector float32Array 0.002 s 0.796
2022-11-15 20:55 JavaScript Iterate Vector numbers 0.002 s 0.783
2022-11-15 20:55 JavaScript Iterate Vector dictionary 0.004 s 1.371
2022-11-15 20:55 JavaScript Spread Vector int8Array 0.007 s -0.170
2022-11-15 20:55 JavaScript Spread Vector int32Array 0.007 s -0.092
2022-11-15 20:55 JavaScript Spread Vector uint16Array 0.007 s -0.445
2022-11-15 20:55 JavaScript Spread Vector uint64Array 0.012 s 0.464
2022-11-15 20:55 JavaScript toArray Vector uint16Array
2022-11-15 20:56 JavaScript get Vector float64Array 0.002 s 0.084
2022-11-15 20:56 JavaScript get Vector booleans 0.002 s 0.396
2022-11-15 20:55 JavaScript Spread Vector numbers 0.008 s -0.606
2022-11-15 20:55 JavaScript toArray Vector uint8Array
2022-11-15 20:56 JavaScript toArray Vector dictionary 0.010 s 1.239
2022-11-15 20:56 JavaScript get Vector uint8Array 0.003 s -1.093
2022-11-15 20:55 JavaScript toArray Vector uint64Array
2022-11-15 20:55 JavaScript toArray Vector int16Array
2022-11-15 20:56 JavaScript Table tracks, 1,000,000 0.311 s -1.802
2022-11-15 20:56 JavaScript Table tracks, 1,000,000 0.096 s -0.944
2022-11-15 20:55 JavaScript toArray Vector int32Array
2022-11-15 20:56 JavaScript get Vector int32Array 0.003 s -0.679
2022-11-15 20:56 JavaScript get Vector numbers 0.002 s 0.130
2022-11-15 20:56 JavaScript get Vector dictionary 0.002 s 0.149
2022-11-15 20:56 JavaScript get Vector uint16Array 0.003 s -0.617
2022-11-15 20:56 JavaScript get Vector uint64Array 0.003 s 0.498
2022-11-15 20:56 JavaScript get Vector int64Array 0.003 s 0.410
2022-11-15 20:56 JavaScript get Vector string 0.123 s 0.766
2022-11-15 20:56 JavaScript get Vector int16Array 0.003 s -1.090
2022-11-15 20:56 JavaScript get Vector float32Array 0.002 s 0.176
2022-11-15 20:56 JavaScript Parse read recordBatches, tracks 0.000 s 0.975
2022-11-15 20:56 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.004
2022-11-15 20:56 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.005
2022-11-15 20:56 JavaScript Table tracks, 1,000,000 0.050 s 0.239
2022-11-15 20:56 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.152
2022-11-15 20:56 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.034
2022-11-15 20:56 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.740
2022-11-15 20:56 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-15 20:56 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-15 20:56 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.559
2022-11-15 20:56 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.179
2022-11-15 20:56 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.424
2022-11-15 20:56 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.066
2022-11-15 20:56 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.154
2022-11-15 20:56 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-15 20:56 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-15 20:56 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.323
2022-11-15 20:56 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.149