Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-23 14:09 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.683 s -0.422
2022-11-23 14:09 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.253 s -0.314
2022-11-23 14:11 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.421 s 0.603
2022-11-23 14:10 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.516 s -0.771
2022-11-23 14:11 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.525 s -0.948
2022-11-23 14:11 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.137 s -1.044
2022-11-23 14:14 Python dataframe-to-table chi_traffic_2020_Q1 20.347 s -0.186
2022-11-23 14:12 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.196 s -0.937
2022-11-23 14:14 Python dataframe-to-table type_floats 0.011 s 0.140
2022-11-23 14:12 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.138 s -0.991
2022-11-23 14:14 Python dataframe-to-table type_strings 0.449 s -0.333
2022-11-23 14:14 Python dataframe-to-table type_integers 0.010 s 0.771
2022-11-23 14:14 Python dataframe-to-table type_dict 0.012 s -0.618
2022-11-23 14:15 Python dataframe-to-table type_nested 2.924 s -1.007
2022-11-23 14:15 Python dataset-filter nyctaxi_2010-01 1.008 s 0.012
2022-11-23 14:20 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 95.252 s -1.136
2022-11-23 14:24 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.534 s 0.449
2022-11-23 14:35 Python dataset-read async=True, nyctaxi_multi_ipc_s3 229.661 s -0.144
2022-11-23 14:35 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.161 s 0.685
2022-11-23 14:36 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.297 s 0.154
2022-11-23 14:36 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.194 s 0.535
2022-11-23 14:35 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.193 s -0.136
2022-11-23 14:36 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.192 s 1.263
2022-11-23 14:36 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.032 s 0.490
2022-11-23 14:36 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.168 s -0.224
2022-11-23 14:36 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.053 s 0.053
2022-11-23 14:36 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.662 s 0.293
2022-11-23 14:36 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.662 s -0.602
2022-11-23 14:36 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.121 s 0.611
2022-11-23 14:36 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.638 s -0.340
2022-11-23 14:37 Python file-read lz4, feather, table, fanniemae_2016Q4 0.826 s -0.105
2022-11-23 14:37 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.514 s 0.075
2022-11-23 14:37 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.515 s -0.169
2022-11-23 14:37 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.325 s 0.358
2022-11-23 14:37 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.641 s 1.440
2022-11-23 14:38 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.970 s -0.093
2022-11-23 14:38 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.220 s 1.451
2022-11-23 14:57 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s 0.024
2022-11-23 14:38 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.329 s 1.090
2022-11-23 14:39 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.046 s -0.045
2022-11-23 14:43 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.609 s -0.102
2022-11-23 14:42 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.035 s -0.117
2022-11-23 14:57 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.909 s 0.077
2022-11-23 14:41 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.825 s 0.166
2022-11-23 14:45 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.381 s 0.690
2022-11-23 14:45 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.982 s -0.452
2022-11-23 14:45 Python file-write lz4, feather, table, nyctaxi_2010-01 1.759 s -0.759
2022-11-23 14:45 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.791 s 0.477
2022-11-23 14:38 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.925 s -0.017
2022-11-23 14:40 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.380 s -0.169
2022-11-23 14:38 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.937 s -0.233
2022-11-23 14:44 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.519 s 0.486
2022-11-23 14:38 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.968 s -0.016
2022-11-23 14:38 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.551 s 1.591
2022-11-23 14:38 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.926 s -0.085
2022-11-23 14:42 Python file-write lz4, feather, table, fanniemae_2016Q4 1.562 s -0.476
2022-11-23 14:38 Python file-read lz4, feather, table, nyctaxi_2010-01 0.680 s 1.520
2022-11-23 14:55 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.335 s -0.756
2022-11-23 14:44 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.099 s 0.340
2022-11-23 14:45 Python wide-dataframe use_legacy_dataset=false 0.507 s 0.583
2022-11-23 14:54 R dataframe-to-table type_dict, R 0.055 s -0.071
2022-11-23 14:42 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.749 s -0.048
2022-11-23 14:43 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.740 s -0.048
2022-11-23 14:55 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.098
2022-11-23 14:40 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.531 s 0.119
2022-11-23 14:56 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.550 s 0.102
2022-11-23 14:54 R dataframe-to-table type_nested, R 0.571 s 0.809
2022-11-23 14:56 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.565 s 0.132
2022-11-23 14:45 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.010 s 0.483
2022-11-23 14:55 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.583 s -0.573
2022-11-23 14:45 Python wide-dataframe use_legacy_dataset=true 0.374 s 0.322
2022-11-23 14:54 R dataframe-to-table type_integers, R 0.010 s 0.247
2022-11-23 14:55 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.591 s -0.568
2022-11-23 14:56 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.906 s -0.230
2022-11-23 14:54 R dataframe-to-table type_strings, R 0.537 s 0.580
2022-11-23 14:56 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.850 s 0.125
2022-11-23 14:56 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.903 s -0.166
2022-11-23 14:57 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.822 s 0.093
2022-11-23 14:53 R dataframe-to-table chi_traffic_2020_Q1, R 4.342 s -1.241
2022-11-23 14:54 R dataframe-to-table type_floats, R 0.013 s 0.926
2022-11-23 14:55 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.342 s -0.748
2022-11-23 14:56 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.554 s 0.073
2022-11-23 14:58 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.504 s -0.027
2022-11-23 14:56 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.602 s 0.072
2022-11-23 14:57 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.586 s 0.072
2022-11-23 15:00 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.146 s -0.349
2022-11-23 15:01 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.916 s 0.106
2022-11-23 15:07 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.994 s 0.454
2022-11-23 15:05 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.942 s -0.090
2022-11-23 15:12 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.324 s -0.878
2022-11-23 15:14 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.566 s -0.078
2022-11-23 15:15 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.658
2022-11-23 15:15 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.269 s 1.532
2022-11-23 15:16 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.273 s 1.019
2022-11-23 15:14 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.227 s -0.790
2022-11-23 15:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.163
2022-11-23 15:24 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.288 s -0.265
2022-11-23 15:33 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.354 s 1.166
2022-11-23 15:03 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.584 s -0.184
2022-11-23 15:11 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.305 s 1.058
2022-11-23 15:24 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.279 s 1.182
2022-11-23 15:24 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.241
2022-11-23 15:26 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 0.567
2022-11-23 15:27 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.605 s 0.227
2022-11-23 15:28 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.434 s 0.932
2022-11-23 15:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.204 s 1.337
2022-11-23 15:36 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.422 s 2.256
2022-11-23 15:38 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.233 s 1.119
2022-11-23 15:05 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 0.620
2022-11-23 15:19 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.192 s 1.074
2022-11-23 15:28 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.290 s 0.779
2022-11-23 15:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.322 s 1.601
2022-11-23 15:11 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.922 s -0.225
2022-11-23 15:19 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.927 s -1.303
2022-11-23 15:20 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.328 s -1.195
2022-11-23 15:21 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.344 s 1.837
2022-11-23 15:22 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.637 s 0.177
2022-11-23 15:27 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.820 s -2.452
2022-11-23 15:03 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.962 s -1.306
2022-11-23 15:08 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.964 s -0.249
2022-11-23 15:21 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.900 s 0.306
2022-11-23 15:24 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.343 s 1.815
2022-11-23 15:29 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 1.156
2022-11-23 15:33 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.527 s -0.908
2022-11-23 15:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.325 s -0.407
2022-11-23 15:35 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.582 s 0.788
2022-11-23 15:41 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.252 s 1.309
2022-11-23 15:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.189 s 1.168
2022-11-23 15:46 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.096 s -0.489
2022-11-23 15:22 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.667 s 1.251
2022-11-23 15:24 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.331 s 0.759
2022-11-23 15:29 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.155 s -0.934
2022-11-23 15:34 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.139 s 0.957
2022-11-23 15:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.915 s 0.399
2022-11-23 15:38 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.277 s 1.332
2022-11-23 15:15 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.577 s 0.495
2022-11-23 15:17 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.343 s 0.904
2022-11-23 15:18 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.055 s -0.617
2022-11-23 15:18 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.585 s -0.297
2022-11-23 15:20 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.439
2022-11-23 15:22 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.156 s 1.185
2022-11-23 15:26 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.565
2022-11-23 15:29 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.245 s 1.235
2022-11-23 15:33 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.473 s -1.497
2022-11-23 15:06 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.417 s -0.543
2022-11-23 15:09 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.732 s 0.211
2022-11-23 15:18 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.297 s 1.589
2022-11-23 15:30 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.904 s -1.461
2022-11-23 15:32 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.856 s 1.055
2022-11-23 15:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.191 s -0.214
2022-11-23 15:42 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.661 s 0.108
2022-11-23 15:45 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.313 s -1.567
2022-11-23 15:15 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.194 s 1.197
2022-11-23 15:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.283 s 0.920
2022-11-23 15:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.332 s -0.173
2022-11-23 15:23 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.229 s 0.890
2022-11-23 15:23 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s 0.682
2022-11-23 15:25 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s 0.206
2022-11-23 15:31 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.296 s 2.163
2022-11-23 15:33 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.868 s -0.608
2022-11-23 15:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.252 s 2.124
2022-11-23 15:39 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.587 s 0.295
2022-11-23 15:43 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.531 s 0.962
2022-11-23 15:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.439
2022-11-23 15:13 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s -0.424
2022-11-23 15:15 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.276 s 1.154
2022-11-23 15:16 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s 0.382
2022-11-23 15:25 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.775 s -0.729
2022-11-23 15:29 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.950 s -0.324
2022-11-23 15:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.318 s -0.283
2022-11-23 15:47 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.947 s 0.143
2022-11-23 15:21 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.313 s -0.172
2022-11-23 15:26 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.324 s 0.772
2022-11-23 15:36 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.202 s 1.338
2022-11-23 15:38 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.200 s 1.345
2022-11-23 15:40 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.318 s 1.185
2022-11-23 15:41 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.214 s 0.813
2022-11-23 15:43 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.204 s 1.175
2022-11-23 15:14 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.559 s -0.927
2022-11-23 15:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s -0.624
2022-11-23 15:26 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.418 s 1.619
2022-11-23 15:31 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.255 s 1.174
2022-11-23 15:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.278 s 2.270
2022-11-23 15:40 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.051 s 0.066
2022-11-23 15:17 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.328 s 1.630
2022-11-23 15:17 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.427 s 0.854
2022-11-23 15:20 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.279
2022-11-23 15:21 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s 0.392
2022-11-23 15:22 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.631 s -0.906
2022-11-23 15:25 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.743
2022-11-23 15:27 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.264 s 1.244
2022-11-23 15:30 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.314 s 1.232
2022-11-23 15:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.224 s 1.470
2022-11-23 15:39 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.600 s -0.040
2022-11-23 15:45 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.434 s -0.203
2022-11-23 15:15 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.242 s 1.296
2022-11-23 15:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.221 s 1.143
2022-11-23 15:19 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.226 s 1.401
2022-11-23 15:21 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.171 s 0.264
2022-11-23 15:23 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.197 s 1.214
2022-11-23 15:28 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.765 s 0.614
2022-11-23 15:31 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.745 s -0.112
2022-11-23 15:41 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.314 s 1.658
2022-11-23 15:42 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.787 s -0.596
2022-11-23 15:15 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s 1.251
2022-11-23 15:16 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.002 s 1.294
2022-11-23 15:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.225 s 1.236
2022-11-23 15:24 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.367 s 0.316
2022-11-23 15:26 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.612 s 0.163
2022-11-23 15:26 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.708 s 0.866
2022-11-23 15:29 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.291 s 2.578
2022-11-23 15:30 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.328 s 2.421
2022-11-23 15:32 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.147 s 0.143
2022-11-23 15:36 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.334 s -0.449
2022-11-23 15:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.232 s 1.965
2022-11-23 15:40 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.515 s 1.994
2022-11-23 15:16 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.693 s 1.134
2022-11-23 15:18 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.262 s 2.027
2022-11-23 15:21 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.255 s 0.529
2022-11-23 15:23 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.173 s 1.535
2022-11-23 15:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.204 s -1.141
2022-11-23 15:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.297 s -1.121
2022-11-23 15:48 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.938 s -1.178
2022-11-23 15:53 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.688 s 0.462
2022-11-23 15:19 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.519 s 0.108
2022-11-23 15:20 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.236 s 1.481
2022-11-23 15:21 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.306 s 0.729
2022-11-23 15:32 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.250 s -0.593
2022-11-23 15:38 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.577 s 1.467
2022-11-23 15:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.237 s 0.980
2022-11-23 15:44 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.492 s 0.166
2022-11-23 15:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.220 s 1.411
2022-11-23 15:23 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.795
2022-11-23 15:35 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.295 s -0.664
2022-11-23 15:38 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.202 s 1.072
2022-11-23 15:40 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.892 s -0.828
2022-11-23 15:49 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.931 s -1.497
2022-11-23 15:26 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.382 s 2.195
2022-11-23 15:28 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.316 s 1.432
2022-11-23 15:28 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.365 s 1.231
2022-11-23 15:32 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.524 s 1.139
2022-11-23 15:37 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.766 s -0.043
2022-11-23 15:38 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.244 s 1.294
2022-11-23 15:41 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.261 s 1.933
2022-11-23 15:41 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.945 s 0.619
2022-11-23 15:43 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.259 s 1.395
2022-11-23 15:48 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.607 s -1.363
2022-11-23 15:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.718 s -0.336
2022-11-23 15:49 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.781 s -0.128
2022-11-23 15:30 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.647 s 1.087
2022-11-23 15:35 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.408 s 1.143
2022-11-23 15:35 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.819 s 1.408
2022-11-23 15:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s 0.694
2022-11-23 15:46 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.418 s -0.528
2022-11-23 15:49 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.123 s 0.166
2022-11-23 16:03 JavaScript Iterate Vector uint64Array 0.004 s -1.414
2022-11-23 15:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.177 s 0.685
2022-11-23 15:37 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.470 s 0.638
2022-11-23 15:43 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.422
2022-11-23 15:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.264 s -0.634
2022-11-23 15:47 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.370 s -0.954
2022-11-23 15:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.383 s -0.480
2022-11-23 15:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.236 s 1.754
2022-11-23 15:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.221 s 1.420
2022-11-23 15:45 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.867 s -0.593
2022-11-23 15:47 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.622
2022-11-23 16:03 JavaScript get Vector uint16Array 0.003 s -1.431
2022-11-23 16:03 JavaScript get Vector uint64Array 0.003 s -2.244
2022-11-23 16:03 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.434
2022-11-23 15:36 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.228 s 1.415
2022-11-23 15:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.217 s -0.368
2022-11-23 15:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 1.255
2022-11-23 15:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.445 s 0.604
2022-11-23 16:03 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.070
2022-11-23 15:52 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.222 s -1.465
2022-11-23 16:03 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.078
2022-11-23 16:03 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.033 s -0.045
2022-11-23 15:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s 0.416
2022-11-23 15:44 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.205 s 0.705
2022-11-23 15:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.429 s -0.416
2022-11-23 16:03 JavaScript vectorFromArray numbers 0.016 s 0.618
2022-11-23 16:03 JavaScript Spread Vector int16Array 0.007 s 0.089
2022-11-23 16:03 JavaScript toArray Vector uint32Array
2022-11-23 15:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.255 s 0.993
2022-11-23 15:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.316 s 1.448
2022-11-23 15:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.373
2022-11-23 16:03 JavaScript vectorFromArray booleans 0.018 s 0.322
2022-11-23 15:47 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s -0.075
2022-11-23 16:03 JavaScript toArray Vector dictionary 0.010 s 0.390
2022-11-23 16:03 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.289
2022-11-23 15:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.197 s 1.700
2022-11-23 16:03 JavaScript Iterate Vector int64Array 0.005 s -2.436
2022-11-23 16:03 JavaScript Spread Vector uint64Array 0.012 s -0.066
2022-11-23 16:03 JavaScript toArray Vector string 0.149 s -1.631
2022-11-23 16:03 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-23 15:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.192 s 1.403
2022-11-23 15:55 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.308 s -0.182
2022-11-23 16:03 JavaScript Iterate Vector int16Array 0.002 s 0.056
2022-11-23 16:03 JavaScript Iterate Vector float64Array 0.002 s -0.963
2022-11-23 16:03 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.147
2022-11-23 16:03 JavaScript Iterate Vector int8Array 0.002 s -1.163
2022-11-23 16:03 JavaScript Iterate Vector numbers 0.002 s -0.686
2022-11-23 16:03 JavaScript Iterate Vector dictionary 0.004 s 0.887
2022-11-23 16:03 JavaScript Spread Vector uint8Array 0.007 s -0.076
2022-11-23 16:03 JavaScript Spread Vector uint32Array 0.007 s 0.168
2022-11-23 16:03 JavaScript toArray Vector int32Array
2022-11-23 16:03 JavaScript toArray Vector float32Array
2022-11-23 16:03 JavaScript toArray Vector numbers
2022-11-23 16:03 JavaScript get Vector uint8Array 0.003 s -1.385
2022-11-23 16:03 JavaScript get Vector uint32Array 0.003 s -1.637
2022-11-23 16:03 JavaScript get Vector string 0.130 s -2.884
2022-11-23 16:03 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.019
2022-11-23 16:03 JavaScript vectorFromArray dictionary 0.017 s -0.351
2022-11-23 16:03 JavaScript Iterate Vector uint16Array 0.002 s 0.117
2022-11-23 16:03 JavaScript Iterate Vector booleans 0.004 s 0.901
2022-11-23 16:03 JavaScript Iterate Vector uint8Array 0.002 s -0.682
2022-11-23 16:03 JavaScript Iterate Vector uint32Array 0.002 s -0.105
2022-11-23 16:03 JavaScript Iterate Vector int32Array 0.002 s -0.580
2022-11-23 16:03 JavaScript Iterate Vector float32Array 0.002 s -0.071
2022-11-23 16:03 JavaScript toArray Vector int8Array
2022-11-23 16:03 JavaScript Table tracks, 1,000,000 0.248 s 1.220
2022-11-23 16:03 JavaScript Iterate Vector string 0.131 s -2.389
2022-11-23 16:03 JavaScript Spread Vector uint16Array 0.006 s 0.191
2022-11-23 16:03 JavaScript Spread Vector int8Array 0.006 s 0.249
2022-11-23 16:03 JavaScript Spread Vector int32Array 0.006 s 0.201
2022-11-23 16:03 JavaScript Spread Vector float32Array 0.008 s 0.177
2022-11-23 16:03 JavaScript Spread Vector numbers 0.008 s 0.264
2022-11-23 16:03 JavaScript Spread Vector dictionary 0.010 s 0.176
2022-11-23 16:03 JavaScript toArray Vector uint8Array
2022-11-23 16:03 JavaScript Spread Vector int64Array 0.012 s 0.798
2022-11-23 16:03 JavaScript Spread Vector float64Array 0.008 s 0.308
2022-11-23 16:03 JavaScript Spread Vector booleans 0.010 s -0.045
2022-11-23 16:03 JavaScript Spread Vector string 0.151 s -2.678
2022-11-23 16:03 JavaScript toArray Vector uint16Array
2022-11-23 16:03 JavaScript toArray Vector uint64Array
2022-11-23 16:03 JavaScript toArray Vector int16Array
2022-11-23 16:03 JavaScript toArray Vector int64Array
2022-11-23 16:03 JavaScript toArray Vector float64Array
2022-11-23 16:03 JavaScript toArray Vector booleans 0.010 s 0.394
2022-11-23 16:03 JavaScript get Vector int16Array 0.003 s -0.829
2022-11-23 16:03 JavaScript get Vector int64Array 0.003 s -1.490
2022-11-23 16:03 JavaScript get Vector booleans 0.002 s 0.476
2022-11-23 16:03 JavaScript get Vector int8Array 0.003 s -1.703
2022-11-23 16:03 JavaScript Parse read recordBatches, tracks 0.000 s -2.061
2022-11-23 16:03 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -0.812
2022-11-23 16:03 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-23 16:03 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.309
2022-11-23 16:03 JavaScript get Vector int32Array 0.003 s -1.366
2022-11-23 16:03 JavaScript get Vector dictionary 0.002 s 0.091
2022-11-23 16:03 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.673
2022-11-23 16:03 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.190 s -0.636
2022-11-23 16:03 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.090
2022-11-23 16:03 JavaScript Table 1,000,000, tracks 0.258 s 0.636
2022-11-23 16:03 JavaScript get Vector float32Array 0.002 s 0.387
2022-11-23 16:03 JavaScript get Vector numbers 0.002 s 0.063
2022-11-23 16:03 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.012
2022-11-23 16:03 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.627
2022-11-23 16:03 JavaScript get Vector float64Array 0.002 s 0.213
2022-11-23 16:03 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-23 16:03 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s 0.230
2022-11-23 16:03 JavaScript Parse write recordBatches, tracks 0.002 s -1.129
2022-11-23 16:03 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.521
2022-11-23 16:03 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.385
2022-11-23 16:03 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.826
2022-11-23 16:03 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.663
2022-11-23 16:03 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-23 16:03 JavaScript Table tracks, 1,000,000 0.050 s -0.020
2022-11-23 16:03 JavaScript Table tracks, 1,000,000 0.095 s 0.081