Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-16 19:23 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.113 s 1.690
2022-11-16 19:26 Python dataframe-to-table chi_traffic_2020_Q1 20.492 s -1.204
2022-11-16 19:21 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.257 s -0.519
2022-11-16 19:21 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.680 s 0.067
2022-11-16 19:27 Python dataframe-to-table type_strings 0.445 s 0.272
2022-11-16 19:35 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.064 s 0.004
2022-11-16 19:23 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.946 s 1.111
2022-11-16 19:25 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.788 s 0.482
2022-11-16 19:27 Python dataframe-to-table type_dict 0.011 s 1.369
2022-11-16 19:27 Python dataframe-to-table type_floats 0.011 s -0.217
2022-11-16 19:27 Python dataset-filter nyctaxi_2010-01 1.012 s -0.192
2022-11-16 19:31 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 82.172 s 0.263
2022-11-16 19:23 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.426 s -0.115
2022-11-16 19:27 Python dataframe-to-table type_integers 0.010 s -0.750
2022-11-16 19:22 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.111 s 0.725
2022-11-16 19:24 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.944 s 0.153
2022-11-16 19:27 Python dataframe-to-table type_nested 2.903 s -1.240
2022-11-16 19:47 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.316 s -0.239
2022-11-16 19:56 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.007 s 0.883
2022-11-16 19:48 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.591 s -1.742
2022-11-16 19:48 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.637 s -0.731
2022-11-16 20:06 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.597 s -1.230
2022-11-16 20:08 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.816 s 1.279
2022-11-16 20:09 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.524
2022-11-16 19:48 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.202 s -0.491
2022-11-16 19:53 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.848 s 0.340
2022-11-16 19:56 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.358 s 1.181
2022-11-16 20:07 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.593 s 0.579
2022-11-16 19:49 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.935 s 0.200
2022-11-16 19:47 Python dataset-read async=True, nyctaxi_multi_ipc_s3 223.002 s 0.218
2022-11-16 19:47 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.154 s 0.667
2022-11-16 19:56 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.518 s 0.897
2022-11-16 19:47 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.219 s 0.106
2022-11-16 19:47 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.165 s 0.417
2022-11-16 19:47 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.671 s 0.035
2022-11-16 19:47 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.166 s -0.475
2022-11-16 19:49 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.204 s 3.280
2022-11-16 19:49 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.965 s -0.096
2022-11-16 19:49 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.913 s 0.475
2022-11-16 19:49 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.918 s 0.114
2022-11-16 19:55 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.689 s 0.309
2022-11-16 20:05 R dataframe-to-table chi_traffic_2020_Q1, R 4.335 s -0.371
2022-11-16 19:48 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.651 s -0.708
2022-11-16 19:53 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.104 s -0.650
2022-11-16 19:55 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.584 s 1.038
2022-11-16 19:48 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.341 s -1.549
2022-11-16 19:49 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.627 s 3.286
2022-11-16 19:50 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.032 s 0.404
2022-11-16 20:06 R dataframe-to-table type_dict, R 0.032 s 2.378
2022-11-16 19:48 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.136 s -0.266
2022-11-16 20:07 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.564 s 1.342
2022-11-16 19:47 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.055 s 0.105
2022-11-16 19:48 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.514 s -0.395
2022-11-16 19:49 Python file-read lz4, feather, table, fanniemae_2016Q4 0.824 s 0.152
2022-11-16 19:55 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.082 s 0.915
2022-11-16 19:49 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.973 s -0.499
2022-11-16 19:49 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.548 s 3.376
2022-11-16 19:47 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.052 s 0.121
2022-11-16 19:54 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.652 s 0.486
2022-11-16 19:57 Python wide-dataframe use_legacy_dataset=true 0.372 s 0.487
2022-11-16 19:57 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.780 s 0.907
2022-11-16 20:07 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.327 s -0.886
2022-11-16 20:08 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.548 s -0.239
2022-11-16 20:09 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.899 s 1.157
2022-11-16 19:50 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.306 s 2.948
2022-11-16 19:56 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.945 s 1.638
2022-11-16 19:57 Python file-write lz4, feather, table, nyctaxi_2010-01 1.804 s -1.201
2022-11-16 19:49 Python file-read lz4, feather, table, nyctaxi_2010-01 0.687 s 0.159
2022-11-16 19:51 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.602 s 0.149
2022-11-16 20:08 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.553 s -0.364
2022-11-16 19:52 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.356 s 0.417
2022-11-16 20:06 R dataframe-to-table type_floats, R 0.013 s 1.061
2022-11-16 20:07 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.575 s -0.724
2022-11-16 20:07 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.845 s 0.638
2022-11-16 20:08 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.896 s 0.076
2022-11-16 19:54 Python file-write lz4, feather, table, fanniemae_2016Q4 1.540 s 1.440
2022-11-16 19:57 Python wide-dataframe use_legacy_dataset=false 0.507 s 0.706
2022-11-16 20:06 R dataframe-to-table type_nested, R 0.572 s 0.769
2022-11-16 20:11 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.122 s 0.246
2022-11-16 20:10 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.501 s 0.302
2022-11-16 20:06 R dataframe-to-table type_integers, R 0.010 s 0.446
2022-11-16 20:07 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.313 s 0.314
2022-11-16 20:05 R dataframe-to-table type_strings, R 0.536 s 0.996
2022-11-16 20:06 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.330 s -0.639
2022-11-16 20:08 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s -0.310
2022-11-16 20:08 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.894 s -0.128
2022-11-16 20:12 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.922 s 0.297
2022-11-16 20:14 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.587 s 0.133
2022-11-16 20:15 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.969 s -3.261
2022-11-16 20:16 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.960 s -0.400
2022-11-16 20:17 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.491 s 0.530
2022-11-16 20:18 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.396 s 0.202
2022-11-16 20:26 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.227 s -1.059
2022-11-16 20:29 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.650 s 1.117
2022-11-16 20:29 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.226 s 0.880
2022-11-16 20:32 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.894 s 1.067
2022-11-16 20:33 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.260 s 1.129
2022-11-16 20:19 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.988 s 1.022
2022-11-16 20:26 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.570 s -0.683
2022-11-16 20:28 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.400
2022-11-16 20:20 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.963 s 0.207
2022-11-16 20:27 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.585 s 0.082
2022-11-16 20:30 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.811
2022-11-16 20:30 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.581 s 0.314
2022-11-16 20:31 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 0.930
2022-11-16 20:27 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.234 s 0.842
2022-11-16 20:32 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.174 s -0.161
2022-11-16 20:33 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.409
2022-11-16 20:36 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.365 s 0.486
2022-11-16 20:36 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s -0.282
2022-11-16 20:38 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s -0.144
2022-11-16 20:26 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.079
2022-11-16 20:27 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.272 s -0.380
2022-11-16 20:28 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.002 s 0.548
2022-11-16 20:28 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.807
2022-11-16 20:34 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.541
2022-11-16 20:36 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.280 s 0.705
2022-11-16 20:35 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s -0.205
2022-11-16 20:49 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.278 s -0.075
2022-11-16 20:50 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.601 s -0.359
2022-11-16 20:51 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.192 s -0.914
2022-11-16 20:31 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.197 s 0.217
2022-11-16 20:42 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.893 s 1.106
2022-11-16 20:28 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.344 s -0.070
2022-11-16 20:32 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.229
2022-11-16 20:41 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.333 s -0.911
2022-11-16 20:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.359 s -1.476
2022-11-16 20:24 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.324 s -1.143
2022-11-16 20:32 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.255 s 1.004
2022-11-16 20:36 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.283 s 0.226
2022-11-16 20:36 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.764
2022-11-16 20:37 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.762 s 1.408
2022-11-16 20:38 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.331 s 0.501
2022-11-16 20:38 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 0.847
2022-11-16 20:38 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.602 s 1.453
2022-11-16 20:41 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.822
2022-11-16 20:43 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.224 s 1.251
2022-11-16 20:48 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.425 s 0.350
2022-11-16 20:26 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.551 s 0.363
2022-11-16 20:27 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s 0.084
2022-11-16 20:42 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.204 s 1.105
2022-11-16 20:21 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.725 s 0.811
2022-11-16 20:26 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.248 s -0.591
2022-11-16 20:40 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.436 s 0.510
2022-11-16 20:44 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.295 s -0.403
2022-11-16 20:47 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.399
2022-11-16 20:49 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.206 s -1.398
2022-11-16 20:51 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.217 s -0.131
2022-11-16 20:27 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.423
2022-11-16 20:28 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.717 s -0.169
2022-11-16 20:29 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.051 s -0.376
2022-11-16 20:29 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.264 s 0.548
2022-11-16 20:34 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.197 s 1.224
2022-11-16 20:36 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.330 s 0.830
2022-11-16 20:25 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.469 s 0.138
2022-11-16 20:34 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.692 s 0.219
2022-11-16 20:38 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.708 s 0.021
2022-11-16 20:47 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.079
2022-11-16 20:54 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s -0.056
2022-11-16 21:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.237 s 0.772
2022-11-16 20:29 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.429 s -0.343
2022-11-16 20:34 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s 0.450
2022-11-16 20:39 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s -0.064
2022-11-16 20:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.256 s 0.134
2022-11-16 20:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.416 s -3.647
2022-11-16 20:56 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.438 s -1.066
2022-11-16 21:06 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.318 s -0.598
2022-11-16 20:22 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.909 s 0.516
2022-11-16 20:23 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s -0.467
2022-11-16 20:31 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.711
2022-11-16 20:28 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.823
2022-11-16 20:33 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.311 s 0.952
2022-11-16 20:35 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.254
2022-11-16 20:48 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.621
2022-11-16 20:50 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.577 s -0.025
2022-11-16 20:26 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.576 s 0.558
2022-11-16 20:31 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.595 s -1.795
2022-11-16 20:33 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.635 s 0.096
2022-11-16 20:35 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.275 s -0.179
2022-11-16 20:39 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.758 s -0.547
2022-11-16 20:40 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s -0.761
2022-11-16 20:41 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.649 s -0.080
2022-11-16 20:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.251 s -1.241
2022-11-16 20:45 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.173 s 0.043
2022-11-16 20:48 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.919 s -0.003
2022-11-16 20:49 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.766 s -0.366
2022-11-16 20:30 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.905 s 0.725
2022-11-16 20:35 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.596
2022-11-16 20:37 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.324 s 0.922
2022-11-16 20:43 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.327 s -0.150
2022-11-16 20:46 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.524
2022-11-16 20:46 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.325 s 0.006
2022-11-16 20:51 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.239 s -2.837
2022-11-16 20:52 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.053 s -0.002
2022-11-16 20:29 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.331 s 0.612
2022-11-16 20:29 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.226 s -1.374
2022-11-16 20:30 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.296 s 0.770
2022-11-16 20:31 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.262 s 0.947
2022-11-16 20:34 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.623 s 2.311
2022-11-16 20:34 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.904
2022-11-16 20:43 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.867 s -0.538
2022-11-16 20:44 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.202 s -0.530
2022-11-16 20:46 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.584 s 0.335
2022-11-16 20:52 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.316 s -0.062
2022-11-16 20:53 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.945 s 0.424
2022-11-16 20:54 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.205 s 0.521
2022-11-16 20:31 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.238 s 0.064
2022-11-16 20:32 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s -0.332
2022-11-16 20:41 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s -0.039
2022-11-16 20:43 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.530 s -1.696
2022-11-16 20:44 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.140 s 0.216
2022-11-16 20:47 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.320 s 0.216
2022-11-16 20:51 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.279 s 1.042
2022-11-16 20:52 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.562
2022-11-16 20:52 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.194
2022-11-16 20:54 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.531 s 0.934
2022-11-16 20:37 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.598 s -0.051
2022-11-16 20:42 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.717 s 0.108
2022-11-16 20:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.866 s -0.517
2022-11-16 20:58 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.316 s 0.583
2022-11-16 20:59 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.880 s -0.043
2022-11-16 21:01 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.114 s 0.366
2022-11-16 21:05 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.702 s 0.271
2022-11-16 20:37 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.386 s -0.287
2022-11-16 20:41 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.151 s -0.764
2022-11-16 20:48 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.324 s -0.643
2022-11-16 20:51 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.521 s 0.862
2022-11-16 20:55 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.505 s -0.287
2022-11-16 21:03 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.940 s 0.166
2022-11-16 20:41 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 0.888
2022-11-16 20:51 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 0.623
2022-11-16 20:54 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s 0.229
2022-11-16 20:39 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.558
2022-11-16 20:39 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.292 s 0.162
2022-11-16 20:41 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 1.148
2022-11-16 20:50 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.445
2022-11-16 21:00 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.713 s 0.249
2022-11-16 21:06 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.300 s 0.961
2022-11-16 20:39 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 0.690
2022-11-16 20:43 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.298 s 0.767
2022-11-16 20:52 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.254 s -0.133
2022-11-16 20:58 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.959 s -0.993
2022-11-16 20:40 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.944 s 1.081
2022-11-16 20:47 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.280 s 1.082
2022-11-16 20:49 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.200 s 1.224
2022-11-16 20:57 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.407 s 0.496
2022-11-16 20:58 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.255 s 1.036
2022-11-16 21:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.255
2022-11-16 21:14 JavaScript Iterate Vector dictionary 0.004 s 0.758
2022-11-16 21:14 JavaScript Spread Vector uint8Array 0.006 s 0.222
2022-11-16 20:44 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.468 s -0.087
2022-11-16 20:48 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.463 s 0.776
2022-11-16 21:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.533
2022-11-16 21:14 JavaScript Spread Vector int32Array 0.007 s 0.072
2022-11-16 21:14 JavaScript toArray Vector uint8Array
2022-11-16 21:15 JavaScript toArray Vector uint32Array
2022-11-16 20:45 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.511 s 1.029
2022-11-16 20:51 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.888 s -0.181
2022-11-16 20:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.824 s -0.421
2022-11-16 20:50 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.576 s 0.536
2022-11-16 20:54 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.189 s 1.212
2022-11-16 20:56 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.313 s -1.303
2022-11-16 20:58 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.270
2022-11-16 21:00 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.436 s 0.654
2022-11-16 21:00 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.776 s 0.751
2022-11-16 20:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s -0.168
2022-11-16 20:49 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.244 s 0.690
2022-11-16 20:58 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.057 s 0.060
2022-11-16 21:06 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.447 s -0.602
2022-11-16 21:14 JavaScript vectorFromArray numbers 0.016 s -0.373
2022-11-16 21:15 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.177
2022-11-16 20:52 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s -0.208
2022-11-16 20:54 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.639 s 0.552
2022-11-16 20:56 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.265 s -0.633
2022-11-16 20:59 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.598 s 1.578
2022-11-16 21:15 JavaScript get Vector numbers 0.002 s 0.106
2022-11-16 20:53 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.330
2022-11-16 20:55 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.184 s 1.331
2022-11-16 21:14 JavaScript Iterate Vector int64Array 0.004 s -0.183
2022-11-16 21:14 JavaScript Spread Vector string 0.147 s -0.918
2022-11-16 20:54 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 0.828
2022-11-16 20:56 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.428 s -0.488
2022-11-16 21:14 JavaScript Iterate Vector uint32Array 0.002 s 0.259
2022-11-16 21:14 JavaScript Spread Vector int8Array 0.006 s 0.132
2022-11-16 21:14 JavaScript Spread Vector numbers 0.008 s 0.313
2022-11-16 20:56 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.321 s -0.801
2022-11-16 21:14 JavaScript Iterate Vector string 0.127 s -0.488
2022-11-16 21:14 JavaScript Spread Vector uint64Array 0.012 s 0.592
2022-11-16 21:15 JavaScript get Vector int16Array 0.003 s -2.198
2022-11-16 21:15 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.419
2022-11-16 21:15 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.365
2022-11-16 20:56 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.866 s -0.487
2022-11-16 20:58 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.286 s 1.024
2022-11-16 21:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.381
2022-11-16 21:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s -0.247
2022-11-16 21:14 JavaScript Iterate Vector float64Array 0.002 s -1.368
2022-11-16 21:14 JavaScript Iterate Vector booleans 0.004 s -0.082
2022-11-16 21:14 JavaScript Spread Vector booleans 0.010 s -1.145
2022-11-16 20:58 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.256 s 1.113
2022-11-16 21:00 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.380 s 0.261
2022-11-16 21:00 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.875 s 0.943
2022-11-16 21:14 JavaScript Iterate Vector numbers 0.002 s -1.317
2022-11-16 21:15 JavaScript toArray Vector int32Array
2022-11-16 21:15 JavaScript get Vector uint32Array 0.003 s -1.469
2022-11-16 21:15 JavaScript get Vector int8Array 0.003 s -1.869
2022-11-16 21:15 JavaScript get Vector int32Array 0.003 s -2.066
2022-11-16 21:15 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.438
2022-11-16 21:15 JavaScript Table tracks, 1,000,000 0.094 s 1.347
2022-11-16 21:15 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.168
2022-11-16 21:14 JavaScript Iterate Vector uint64Array 0.004 s 0.092
2022-11-16 21:15 JavaScript Table tracks, 1,000,000 0.253 s 0.989
2022-11-16 21:14 JavaScript vectorFromArray dictionary 0.016 s 1.012
2022-11-16 21:14 JavaScript Iterate Vector uint16Array 0.002 s -0.035
2022-11-16 21:14 JavaScript Iterate Vector int16Array 0.002 s -0.210
2022-11-16 21:14 JavaScript Spread Vector uint16Array 0.006 s 0.217
2022-11-16 21:15 JavaScript toArray Vector string 0.147 s -0.976
2022-11-16 21:15 JavaScript get Vector uint16Array 0.003 s -1.154
2022-11-16 21:14 JavaScript vectorFromArray booleans 0.017 s 0.727
2022-11-16 21:14 JavaScript Iterate Vector uint8Array 0.002 s -0.949
2022-11-16 21:14 JavaScript Iterate Vector int8Array 0.002 s -0.531
2022-11-16 21:14 JavaScript Iterate Vector int32Array 0.002 s -0.521
2022-11-16 21:14 JavaScript Iterate Vector float32Array 0.002 s -0.660
2022-11-16 21:14 JavaScript Spread Vector uint32Array 0.007 s 0.181
2022-11-16 21:14 JavaScript Spread Vector float32Array 0.008 s 0.095
2022-11-16 21:14 JavaScript Spread Vector dictionary 0.010 s -0.499
2022-11-16 21:15 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.063
2022-11-16 21:14 JavaScript Spread Vector int16Array 0.006 s 0.290
2022-11-16 21:14 JavaScript Spread Vector int64Array 0.012 s 0.928
2022-11-16 21:14 JavaScript Spread Vector float64Array 0.008 s 0.301
2022-11-16 21:14 JavaScript toArray Vector uint16Array
2022-11-16 21:15 JavaScript toArray Vector int16Array
2022-11-16 21:15 JavaScript toArray Vector int64Array
2022-11-16 21:15 JavaScript toArray Vector float64Array
2022-11-16 21:15 JavaScript toArray Vector booleans 0.010 s 0.321
2022-11-16 21:15 JavaScript get Vector float64Array 0.002 s 0.110
2022-11-16 21:15 JavaScript get Vector string 0.125 s -0.357
2022-11-16 21:15 JavaScript toArray Vector uint64Array
2022-11-16 21:15 JavaScript toArray Vector int8Array
2022-11-16 21:15 JavaScript get Vector float32Array 0.002 s 0.143
2022-11-16 21:15 JavaScript Parse read recordBatches, tracks 0.000 s -0.202
2022-11-16 21:15 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.388
2022-11-16 21:15 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.294
2022-11-16 21:15 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.098
2022-11-16 21:15 JavaScript toArray Vector float32Array
2022-11-16 21:15 JavaScript toArray Vector numbers
2022-11-16 21:15 JavaScript toArray Vector dictionary 0.010 s -1.267
2022-11-16 21:15 JavaScript get Vector uint8Array 0.003 s -1.389
2022-11-16 21:15 JavaScript get Vector uint64Array 0.003 s -1.061
2022-11-16 21:15 JavaScript get Vector int64Array 0.003 s -0.292
2022-11-16 21:15 JavaScript get Vector booleans 0.002 s 0.253
2022-11-16 21:15 JavaScript Parse write recordBatches, tracks 0.002 s -1.303
2022-11-16 21:15 JavaScript get Vector dictionary 0.002 s 0.386
2022-11-16 21:15 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.114
2022-11-16 21:15 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.101
2022-11-16 21:15 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -2.137
2022-11-16 21:15 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -1.037
2022-11-16 21:15 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 21:15 JavaScript Table tracks, 1,000,000 0.050 s 0.142
2022-11-16 21:15 JavaScript Table 1,000,000, tracks 0.284 s -0.536
2022-11-16 21:15 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.413
2022-11-16 21:15 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s 0.013
2022-11-16 21:15 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.569
2022-11-16 21:15 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -2.029
2022-11-16 21:15 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 21:15 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 21:15 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 21:15 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.264
2022-11-16 21:15 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.352