Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-18 17:59 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.270 s 0.076
2023-01-18 17:59 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.770 s 1.010
2023-01-18 18:00 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.277 s -1.660
2023-01-18 18:01 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.009 s -0.911
2023-01-18 18:01 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.659 s -4.816
2023-01-18 18:01 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.435 s 0.449
2023-01-18 18:02 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.284 s 1.501
2023-01-18 18:02 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.237 s 1.465
2023-01-18 18:04 Python dataframe-to-table type_integers 0.010 s -1.514
2023-01-18 18:05 Python dataframe-to-table type_nested 2.955 s 0.643
2023-01-18 18:05 Python dataset-filter nyctaxi_2010-01 1.020 s -0.065
2023-01-18 18:04 Python dataframe-to-table chi_traffic_2020_Q1 21.192 s -0.888
2023-01-18 18:04 Python dataframe-to-table type_dict 0.011 s -0.624
2023-01-18 18:04 Python dataframe-to-table type_floats 0.010 s 0.109
2023-01-18 18:04 Python dataframe-to-table type_strings 0.423 s 1.606
2023-01-18 18:13 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.581 s 0.218
2023-01-18 18:08 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 70.522 s 1.173
2023-01-18 18:24 Python dataset-read async=True, nyctaxi_multi_ipc_s3 232.627 s -1.191
2023-01-18 18:24 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.215 s 0.761
2023-01-18 18:24 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.196 s 0.127
2023-01-18 18:25 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.171 s -0.353
2023-01-18 18:25 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.198 s 0.316
2023-01-18 18:25 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.042 s 0.268
2023-01-18 18:25 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.223 s -0.929
2023-01-18 18:26 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.694
2023-01-18 18:25 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.293 s 0.284
2023-01-18 18:25 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.638
2023-01-18 18:25 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.647 s 0.303
2023-01-18 18:25 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.050 s 0.248
2023-01-18 18:25 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.413
2023-01-18 18:25 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.731 s 4.089
2023-01-18 18:25 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.189 s -1.979
2023-01-18 18:25 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -1.578
2023-01-18 18:26 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.945 s -2.016
2023-01-18 18:26 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.282
2023-01-18 18:27 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.269 s 4.076
2023-01-18 18:30 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.147 s 1.093
2023-01-18 18:30 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.411 s -1.819
2023-01-18 18:30 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.150 s 0.692
2023-01-18 18:38 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.289 s -1.620
2023-01-18 18:38 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.069
2023-01-18 18:38 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.383 s 4.109
2023-01-18 18:38 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.835 s 4.106
2023-01-18 18:39 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.227 s -1.430
2023-01-18 18:38 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 1.043
2023-01-18 18:39 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.071 s -1.785
2023-01-18 18:52 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.625 s 0.361
2023-01-18 18:53 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.630 s 0.304
2023-01-18 18:53 Python file-read lz4, feather, table, fanniemae_2016Q4 0.807 s 0.444
2023-01-18 18:39 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.317
2023-01-18 18:40 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.387 s 4.134
2023-01-18 18:53 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.938 s 0.019
2023-01-18 18:54 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.892 s 0.610
2023-01-18 18:43 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.138 s -1.784
2023-01-18 18:43 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.403 s 1.134
2023-01-18 18:43 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.406 s 1.141
2023-01-18 18:52 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.223 s 4.110
2023-01-18 18:52 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.616 s 0.264
2023-01-18 18:52 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.495 s 0.149
2023-01-18 18:54 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.582 s 0.373
2023-01-18 18:52 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.499 s -0.055
2023-01-18 18:53 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.312 s 0.357
2023-01-18 18:53 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.981 s 0.092
2023-01-18 18:54 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.326 s 0.426
2023-01-18 18:53 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.977 s 0.106
2023-01-18 18:53 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.202 s 0.423
2023-01-18 18:54 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.938 s 0.319
2023-01-18 18:54 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.766 s -1.383
2023-01-18 18:54 Python file-read lz4, feather, table, nyctaxi_2010-01 0.667 s 0.407
2023-01-18 18:56 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.310 s -1.183
2023-01-18 18:56 Python file-write snappy, parquet, table, fanniemae_2016Q4 11.018 s -1.541
2023-01-18 18:58 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.262 s 0.015
2023-01-18 18:57 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.546 s -1.512
2023-01-18 18:58 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.276 s -0.147
2023-01-18 18:58 Python file-write lz4, feather, table, fanniemae_2016Q4 1.846 s 0.083
2023-01-18 18:59 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.881 s 0.117
2023-01-18 18:59 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.907 s -0.518
2023-01-18 19:00 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.372 s -0.451
2023-01-18 19:01 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.268 s -0.506
2023-01-18 19:00 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.777 s -0.469
2023-01-18 19:01 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.144 s -0.094
2023-01-18 19:01 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.694 s 0.100
2023-01-18 19:01 Python file-write lz4, feather, table, nyctaxi_2010-01 1.805 s -0.146
2023-01-18 19:01 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.209 s -0.098
2023-01-18 19:02 Python wide-dataframe use_legacy_dataset=true 0.378 s 0.123
2023-01-18 19:02 Python wide-dataframe use_legacy_dataset=false 0.524 s -0.672
2023-01-18 19:11 R dataframe-to-table type_nested, R 0.576 s -0.950
2023-01-18 19:12 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.840 s 0.332
2023-01-18 19:10 R dataframe-to-table chi_traffic_2020_Q1, R 4.387 s -1.084
2023-01-18 19:11 R dataframe-to-table type_floats, R 0.013 s 0.402
2023-01-18 19:11 R dataframe-to-table type_integers, R 0.010 s 0.522
2023-01-18 19:10 R dataframe-to-table type_dict, R 0.062 s -0.805
2023-01-18 19:10 R dataframe-to-table type_strings, R 0.535 s -0.088
2023-01-18 19:11 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.315 s -0.007
2023-01-18 19:11 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.572 s -0.153
2023-01-18 19:12 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.325 s -0.461
2023-01-18 19:12 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.571 s -0.145
2023-01-18 19:12 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s 0.262
2023-01-18 19:12 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.264
2023-01-18 19:12 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.586 s 0.356
2023-01-18 19:13 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.913 s -0.078
2023-01-18 19:13 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.563 s -0.055
2023-01-18 19:13 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.565 s -0.095
2023-01-18 19:13 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.919 s -0.242
2023-01-18 19:14 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.577 s 0.304
2023-01-18 19:13 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.310
2023-01-18 19:13 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.816 s 0.304
2023-01-18 19:14 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.902 s 0.275
2023-01-18 19:15 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.965 s -1.452
2023-01-18 19:17 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.883 s -1.233
2023-01-18 19:18 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.395 s -1.532
2023-01-18 19:20 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.965 s -0.945
2023-01-18 19:20 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.361 s -1.347
2023-01-18 19:22 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.987 s 1.170
2023-01-18 19:22 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.347
2023-01-18 19:24 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.454 s 0.892
2023-01-18 19:25 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.994 s -0.656
2023-01-18 19:26 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.807 s -0.541
2023-01-18 19:27 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.726 s -0.644
2023-01-18 19:28 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.766 s -0.579
2023-01-18 19:29 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s 0.404
2023-01-18 19:30 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.174 s -0.176
2023-01-18 19:31 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.088 s -0.777
2023-01-18 19:30 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.473 s -0.768
2023-01-18 19:32 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.580 s -0.279
2023-01-18 19:31 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.564 s -0.003
2023-01-18 19:32 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.249 s 0.628
2023-01-18 19:32 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.263
2023-01-18 19:32 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.606 s -0.334
2023-01-18 19:32 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.202 s 0.133
2023-01-18 19:33 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s 0.206
2023-01-18 19:32 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.231
2023-01-18 19:32 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.216
2023-01-18 19:33 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.593 s -0.208
2023-01-18 19:33 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.001 s 0.428
2023-01-18 19:34 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.137
2023-01-18 19:34 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.877 s -0.618
2023-01-18 19:34 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s 0.021
2023-01-18 19:34 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.130
2023-01-18 19:34 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.337 s 0.071
2023-01-18 19:35 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.672 s -1.200
2023-01-18 19:34 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.141
2023-01-18 19:35 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.229 s 0.099
2023-01-18 19:34 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.433 s 0.155
2023-01-18 19:35 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.063 s -0.351
2023-01-18 19:35 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.247
2023-01-18 19:35 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.193
2023-01-18 19:36 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.590 s 0.090
2023-01-18 19:35 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.156
2023-01-18 19:36 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.567 s -0.205
2023-01-18 19:36 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.124
2023-01-18 19:36 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.887 s 0.592
2023-01-18 19:37 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.326
2023-01-18 19:37 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.233 s 0.312
2023-01-18 19:37 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.202 s 0.263
2023-01-18 19:37 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.242 s 0.322
2023-01-18 19:37 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.272 s 0.194
2023-01-18 19:37 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.327 s 0.393
2023-01-18 19:38 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.206 s -0.153
2023-01-18 19:38 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.905 s 0.637
2023-01-18 19:38 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.224
2023-01-18 19:38 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.219
2023-01-18 19:39 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.325 s -0.040
2023-01-18 19:38 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.232
2023-01-18 19:39 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.351 s 0.240
2023-01-18 19:39 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.637 s 0.231
2023-01-18 19:39 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s 0.121
2023-01-18 19:40 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.739 s -0.409
2023-01-18 19:40 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.298
2023-01-18 19:40 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.162 s 0.186
2023-01-18 19:40 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.237
2023-01-18 19:40 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.161 s 0.250
2023-01-18 19:41 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.509 s 0.182
2023-01-18 19:42 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.363
2023-01-18 19:41 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.277
2023-01-18 19:41 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s 0.391
2023-01-18 19:42 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.339 s 0.382
2023-01-18 19:41 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.259 s 0.118
2023-01-18 19:42 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.663 s 0.193
2023-01-18 19:42 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.291 s 0.401
2023-01-18 19:42 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.374 s 0.314
2023-01-18 19:42 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.302
2023-01-18 19:43 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.779 s 0.440
2023-01-18 19:43 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.666 s -0.209
2023-01-18 19:43 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.335 s 0.249
2023-01-18 19:44 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.340 s 0.250
2023-01-18 19:44 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.252
2023-01-18 19:43 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.396 s 0.288
2023-01-18 19:44 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.375 s 0.001
2023-01-18 19:44 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.716 s 0.238
2023-01-18 19:45 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.613 s 0.279
2023-01-18 19:45 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.743 s 0.196
2023-01-18 19:45 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.348
2023-01-18 19:45 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.293
2023-01-18 19:45 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.372 s 0.319
2023-01-18 19:45 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.322
2023-01-18 19:46 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.314
2023-01-18 19:46 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s 0.240
2023-01-18 19:46 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.960 s 0.089
2023-01-18 19:47 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.158 s -0.180
2023-01-18 19:47 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.195
2023-01-18 19:47 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.266
2023-01-18 19:47 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.260 s 0.236
2023-01-18 19:47 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.300 s 0.272
2023-01-18 19:48 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.654 s 0.099
2023-01-18 19:47 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.166
2023-01-18 19:48 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.745 s -0.011
2023-01-18 19:49 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.180
2023-01-18 19:49 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.234
2023-01-18 19:48 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.871 s 0.471
2023-01-18 19:49 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.243
2023-01-18 19:49 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.303 s 0.277
2023-01-18 19:50 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.253 s 0.314
2023-01-18 19:51 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.488 s -0.404
2023-01-18 19:49 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.329 s 0.223
2023-01-18 19:49 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.866 s 0.230
2023-01-18 19:50 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.275 s -0.582
2023-01-18 19:50 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.207 s 0.384
2023-01-18 19:49 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.540 s 0.045
2023-01-18 19:50 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.303 s 0.046
2023-01-18 19:50 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.363 s 0.275
2023-01-18 19:51 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.900 s -0.056
2023-01-18 19:51 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.683 s -1.339
2023-01-18 19:52 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.575 s -0.575
2023-01-18 19:52 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.175
2023-01-18 19:52 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.236 s 0.213
2023-01-18 19:52 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s 0.050
2023-01-18 19:52 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.610 s -0.658
2023-01-18 19:53 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.861 s -0.064
2023-01-18 19:52 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.424 s 0.262
2023-01-18 19:53 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.446 s -1.402
2023-01-18 19:53 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.512 s -0.206
2023-01-18 19:54 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.272 s -2.030
2023-01-18 19:54 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.444 s -0.044
2023-01-18 19:54 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.267 s 0.253
2023-01-18 19:54 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.243 s 0.195
2023-01-18 19:54 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.335 s 0.205
2023-01-18 19:54 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.932 s 0.153
2023-01-18 19:55 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.560 s -0.245
2023-01-18 19:55 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.995 s -0.315
2023-01-18 19:55 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.210 s 0.231
2023-01-18 19:56 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.303
2023-01-18 19:56 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.249
2023-01-18 19:56 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.592 s 0.098
2023-01-18 19:56 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.243 s 0.227
2023-01-18 19:56 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.293
2023-01-18 19:57 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.624 s -0.213
2023-01-18 19:57 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.708 s -1.338
2023-01-18 19:57 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.245 s -1.850
2023-01-18 19:58 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.237 s -0.474
2023-01-18 19:58 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.295
2023-01-18 20:01 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.283
2023-01-18 20:02 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.456 s -0.087
2023-01-18 20:03 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.351 s -0.671
2023-01-18 19:59 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.531 s -3.168
2023-01-18 19:57 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.350 s -2.712
2023-01-18 19:59 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.233 s -0.322
2023-01-18 19:58 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.522 s 0.360
2023-01-18 20:00 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.667 s 0.161
2023-01-18 20:01 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.240
2023-01-18 20:12 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.276
2023-01-18 20:22 JavaScript Spread Vector float32Array 0.008 s -0.327
2023-01-18 19:59 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.221 s 0.213
2023-01-18 20:03 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.191
2023-01-18 20:05 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.458 s -1.106
2023-01-18 20:05 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.076
2023-01-18 20:08 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.159 s -0.578
2023-01-18 19:58 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.333
2023-01-18 19:58 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.889 s -0.065
2023-01-18 19:59 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.323 s 0.275
2023-01-18 20:01 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.939 s -0.132
2023-01-18 20:01 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.245
2023-01-18 20:01 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.242
2023-01-18 20:03 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.274 s 0.104
2023-01-18 20:05 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s 0.107
2023-01-18 20:02 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.531 s 0.365
2023-01-18 20:03 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.442 s -0.029
2023-01-18 20:10 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.911 s -0.223
2023-01-18 20:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.288
2023-01-18 19:59 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.268 s 0.282
2023-01-18 20:00 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.974 s 0.087
2023-01-18 20:05 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.321 s 0.151
2023-01-18 20:05 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.159
2023-01-18 20:06 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.960 s 0.241
2023-01-18 20:08 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.886 s -0.346
2023-01-18 20:00 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.250
2023-01-18 20:02 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.332 s -0.483
2023-01-18 20:03 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.442 s 0.218
2023-01-18 20:01 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.408 s -0.077
2023-01-18 20:03 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.895 s -0.830
2023-01-18 20:04 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.664 s -1.205
2023-01-18 20:07 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.397 s -0.287
2023-01-18 20:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.223
2023-01-18 20:07 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.730 s 0.080
2023-01-18 20:12 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.268
2023-01-18 20:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.040
2023-01-18 20:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.604 s 0.068
2023-01-18 20:07 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.794 s 0.086
2023-01-18 20:07 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.153 s -0.331
2023-01-18 20:07 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.455 s -0.286
2023-01-18 20:12 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.884 s -0.639
2023-01-18 20:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.310 s 0.096
2023-01-18 20:12 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.199 s 0.081
2023-01-18 20:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.451 s 0.246
2023-01-18 20:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.330 s -0.109
2023-01-18 20:22 JavaScript Iterate Vector uint32Array 0.002 s 0.855
2023-01-18 20:22 JavaScript Iterate Vector int8Array 0.002 s 0.453
2023-01-18 20:22 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.469
2023-01-18 20:22 JavaScript vectorFromArray dictionary 0.017 s -1.390
2023-01-18 20:22 JavaScript Iterate Vector float64Array 0.002 s 0.562
2023-01-18 20:22 JavaScript Iterate Vector string 0.126 s 0.218
2023-01-18 20:22 JavaScript Spread Vector uint64Array 0.012 s 0.469
2023-01-18 20:22 JavaScript vectorFromArray booleans 0.018 s -0.003
2023-01-18 20:22 JavaScript Iterate Vector uint8Array 0.002 s -0.019
2023-01-18 20:22 JavaScript Spread Vector int8Array 0.006 s 0.514
2023-01-18 20:22 JavaScript toArray Vector uint8Array
2023-01-18 20:22 JavaScript vectorFromArray numbers 0.016 s 0.075
2023-01-18 20:22 JavaScript Spread Vector int16Array 0.007 s 0.096
2023-01-18 20:22 JavaScript toArray Vector uint16Array
2023-01-18 20:22 JavaScript toArray Vector uint64Array
2023-01-18 20:22 JavaScript toArray Vector booleans 0.010 s 0.715
2023-01-18 20:22 JavaScript Iterate Vector float32Array 0.002 s 0.931
2023-01-18 20:22 JavaScript Iterate Vector numbers 0.002 s 0.829
2023-01-18 20:22 JavaScript Iterate Vector dictionary 0.004 s 0.815
2023-01-18 20:22 JavaScript Spread Vector numbers 0.008 s 0.797
2023-01-18 20:22 JavaScript Spread Vector uint8Array 0.006 s 0.363
2023-01-18 20:22 JavaScript Spread Vector uint32Array 0.007 s 0.743
2023-01-18 20:22 JavaScript get Vector uint32Array 0.003 s 0.274
2023-01-18 20:22 JavaScript get Vector int8Array 0.003 s 0.311
2023-01-18 20:22 JavaScript get Vector dictionary 0.002 s 1.075
2023-01-18 20:22 JavaScript Iterate Vector uint16Array 0.002 s 0.909
2023-01-18 20:22 JavaScript Iterate Vector int64Array 0.004 s 0.170
2023-01-18 20:22 JavaScript Spread Vector uint16Array 0.006 s 0.010
2023-01-18 20:22 JavaScript Spread Vector int64Array 0.012 s -0.344
2023-01-18 20:22 JavaScript Spread Vector float64Array 0.008 s 0.784
2023-01-18 20:22 JavaScript toArray Vector string 0.145 s 0.550
2023-01-18 20:22 JavaScript Iterate Vector uint64Array 0.004 s 0.394
2023-01-18 20:22 JavaScript Iterate Vector int16Array 0.002 s 0.894
2023-01-18 20:22 JavaScript Iterate Vector booleans 0.004 s 0.666
2023-01-18 20:22 JavaScript toArray Vector int16Array
2023-01-18 20:22 JavaScript toArray Vector int64Array
2023-01-18 20:22 JavaScript toArray Vector float64Array
2023-01-18 20:22 JavaScript Iterate Vector int32Array 0.002 s 0.226
2023-01-18 20:22 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-18 20:22 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 20:22 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.678
2023-01-18 20:22 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.654
2023-01-18 20:22 JavaScript Spread Vector int32Array 0.006 s 0.654
2023-01-18 20:22 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.463
2023-01-18 20:22 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.359
2023-01-18 20:22 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.040
2023-01-18 20:22 JavaScript Spread Vector booleans 0.010 s 1.029
2023-01-18 20:22 JavaScript Spread Vector string 0.145 s 0.130
2023-01-18 20:22 JavaScript Parse write recordBatches, tracks 0.002 s -2.077
2023-01-18 20:22 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.387
2023-01-18 20:22 JavaScript Spread Vector dictionary 0.010 s 0.532
2023-01-18 20:22 JavaScript toArray Vector float32Array
2023-01-18 20:22 JavaScript toArray Vector dictionary 0.010 s 0.238
2023-01-18 20:22 JavaScript get Vector uint8Array 0.003 s 0.251
2023-01-18 20:22 JavaScript get Vector int32Array 0.003 s 0.301
2023-01-18 20:22 JavaScript get Vector float32Array 0.002 s -1.783
2023-01-18 20:22 JavaScript toArray Vector uint32Array
2023-01-18 20:22 JavaScript toArray Vector int8Array
2023-01-18 20:22 JavaScript toArray Vector int32Array
2023-01-18 20:22 JavaScript toArray Vector numbers
2023-01-18 20:22 JavaScript get Vector uint16Array 0.003 s 0.312
2023-01-18 20:22 JavaScript get Vector uint64Array 0.003 s -0.350
2023-01-18 20:22 JavaScript get Vector int16Array 0.003 s 0.379
2023-01-18 20:22 JavaScript get Vector int64Array 0.003 s -0.042
2023-01-18 20:22 JavaScript get Vector string 0.124 s 0.296
2023-01-18 20:22 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.249
2023-01-18 20:22 JavaScript get Vector float64Array 0.002 s -1.434
2023-01-18 20:22 JavaScript get Vector booleans 0.002 s 0.294
2023-01-18 20:22 JavaScript get Vector numbers 0.002 s -0.844
2023-01-18 20:22 JavaScript Table 1,000,000, tracks 0.311 s -1.420
2023-01-18 20:22 JavaScript Parse read recordBatches, tracks 0.000 s 1.229
2023-01-18 20:22 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.235
2023-01-18 20:22 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.036
2023-01-18 20:22 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.200
2023-01-18 20:22 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.340
2023-01-18 20:22 JavaScript Table tracks, 1,000,000 0.050 s 0.012
2023-01-18 20:22 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.597
2023-01-18 20:22 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.204
2023-01-18 20:22 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.494
2023-01-18 20:22 JavaScript Table tracks, 1,000,000 0.094 s 1.279
2023-01-18 20:22 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.030
2023-01-18 20:22 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 20:22 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.191 s -1.035
2023-01-18 20:22 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.378
2023-01-18 20:22 JavaScript Table tracks, 1,000,000 0.280 s -0.444
2023-01-18 20:22 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.817
2023-01-18 20:22 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s