Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-16 12:45 Python dataframe-to-table type_integers 0.010 s 0.188
2022-11-16 12:40 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.682 s -0.108
2022-11-16 13:06 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.047 s 0.149
2022-11-16 13:07 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.659 s -0.988
2022-11-16 12:42 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.073 s 0.777
2022-11-16 13:06 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.160 s 0.488
2022-11-16 13:07 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.133 s -0.110
2022-11-16 12:42 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.421 s 0.587
2022-11-16 12:45 Python dataframe-to-table chi_traffic_2020_Q1 20.747 s -2.736
2022-11-16 13:06 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.645 s 0.383
2022-11-16 13:07 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.649 s -4.229
2022-11-16 12:45 Python dataframe-to-table type_strings 0.445 s 0.347
2022-11-16 12:50 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 90.887 s -0.808
2022-11-16 12:45 Python dataframe-to-table type_dict 0.011 s 1.432
2022-11-16 12:45 Python dataframe-to-table type_floats 0.010 s 0.618
2022-11-16 13:06 Python dataset-read async=True, nyctaxi_multi_ipc_s3 222.481 s 0.238
2022-11-16 12:46 Python dataset-filter nyctaxi_2010-01 1.006 s 0.030
2022-11-16 12:43 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.818 s 0.418
2022-11-16 13:06 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.159 s 0.107
2022-11-16 13:07 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.507 s -0.066
2022-11-16 13:08 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.205 s 4.119
2022-11-16 12:41 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.048 s 0.968
2022-11-16 12:43 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.871 s 0.468
2022-11-16 13:06 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.206 s -0.978
2022-11-16 13:08 Python file-read lz4, feather, table, fanniemae_2016Q4 0.829 s -0.498
2022-11-16 12:40 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.239 s 0.797
2022-11-16 12:42 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.127 s 0.246
2022-11-16 13:06 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.298 s 0.039
2022-11-16 13:07 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.638 s -0.820
2022-11-16 13:06 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.171 s 0.558
2022-11-16 12:46 Python dataframe-to-table type_nested 2.910 s -1.557
2022-11-16 13:07 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.634 s 3.962
2022-11-16 12:54 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 80.740 s 0.596
2022-11-16 13:07 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.343 s -1.761
2022-11-16 13:06 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.060 s 0.039
2022-11-16 13:06 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.234 s -0.122
2022-11-16 13:08 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.908 s 0.843
2022-11-16 13:08 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.937 s -0.077
2022-11-16 13:08 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.548 s 4.271
2022-11-16 13:08 Python file-read lz4, feather, table, nyctaxi_2010-01 0.690 s -0.414
2022-11-16 13:08 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.977 s -0.801
2022-11-16 13:08 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.977 s -0.825
2022-11-16 13:08 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.339 s 1.656
2022-11-16 13:08 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.922 s -0.195
2022-11-16 13:09 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.059 s 0.250
2022-11-16 13:12 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.004 s 0.101
2022-11-16 13:10 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.565 s 0.301
2022-11-16 13:11 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.379 s 0.301
2022-11-16 13:12 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.915 s 0.181
2022-11-16 13:13 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.745 s 0.177
2022-11-16 13:13 Python file-write lz4, feather, table, fanniemae_2016Q4 1.551 s 0.545
2022-11-16 13:13 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.758 s 0.086
2022-11-16 13:14 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.108 s 0.632
2022-11-16 13:14 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.589 s 0.933
2022-11-16 13:14 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.527 s 0.697
2022-11-16 13:15 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.977 s -0.032
2022-11-16 13:15 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.019 s 0.777
2022-11-16 13:16 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.818 s 0.366
2022-11-16 13:15 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.421 s 0.267
2022-11-16 13:15 Python file-write lz4, feather, table, nyctaxi_2010-01 1.650 s 0.410
2022-11-16 13:16 Python wide-dataframe use_legacy_dataset=true 0.373 s 0.422
2022-11-16 13:16 Python wide-dataframe use_legacy_dataset=false 0.508 s 0.667
2022-11-16 13:28 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.901 s 0.689
2022-11-16 13:24 R dataframe-to-table type_dict, R 0.032 s 2.759
2022-11-16 13:26 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.853 s -0.402
2022-11-16 13:25 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.339 s -1.061
2022-11-16 13:26 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.325 s -0.837
2022-11-16 13:24 R dataframe-to-table type_strings, R 0.537 s 0.732
2022-11-16 13:27 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.556 s -1.180
2022-11-16 13:27 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.553 s -0.346
2022-11-16 13:29 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.518 s 0.219
2022-11-16 13:35 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.956 s -0.271
2022-11-16 13:26 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.259
2022-11-16 13:27 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.917 s -2.062
2022-11-16 13:37 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.377 s 0.786
2022-11-16 13:24 R dataframe-to-table chi_traffic_2020_Q1, R 4.335 s -0.267
2022-11-16 13:26 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.577 s -0.893
2022-11-16 13:27 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.900 s -0.778
2022-11-16 13:26 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.382
2022-11-16 13:26 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.596 s 0.045
2022-11-16 13:25 R dataframe-to-table type_integers, R 0.010 s 0.505
2022-11-16 13:27 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s -0.111
2022-11-16 13:25 R dataframe-to-table type_floats, R 0.013 s 0.944
2022-11-16 13:25 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -0.559
2022-11-16 13:31 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.928 s 0.303
2022-11-16 13:40 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.713 s 1.181
2022-11-16 13:25 R dataframe-to-table type_nested, R 0.572 s 0.922
2022-11-16 13:28 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.589 s -1.865
2022-11-16 13:38 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.986 s 1.166
2022-11-16 13:33 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.550 s 0.440
2022-11-16 13:39 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.946 s 0.591
2022-11-16 13:27 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.819 s 0.598
2022-11-16 13:30 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.106 s 0.407
2022-11-16 13:34 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.958 s -0.930
2022-11-16 13:36 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.491 s 0.604
2022-11-16 13:41 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.910 s 0.527
2022-11-16 13:43 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.322 s -1.083
2022-11-16 13:42 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.308 s -0.296
2022-11-16 13:44 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.504
2022-11-16 13:45 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.228 s -1.134
2022-11-16 13:45 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.550 s 0.508
2022-11-16 13:47 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.004 s 0.063
2022-11-16 13:47 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.288
2022-11-16 13:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.897 s 1.462
2022-11-16 13:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.893 s 1.206
2022-11-16 13:51 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 0.628
2022-11-16 14:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.224 s -0.321
2022-11-16 14:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.825 s -0.951
2022-11-16 13:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.279 s -0.842
2022-11-16 13:47 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.285 s 0.165
2022-11-16 13:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.653 s 0.136
2022-11-16 13:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.295 s 1.675
2022-11-16 13:45 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.588 s -1.469
2022-11-16 13:45 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.244 s 0.721
2022-11-16 13:45 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.194 s 0.337
2022-11-16 13:47 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s -1.876
2022-11-16 13:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s -0.428
2022-11-16 13:49 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.236
2022-11-16 13:50 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.229 s -0.608
2022-11-16 13:53 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.227
2022-11-16 13:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.344
2022-11-16 13:45 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.579 s 0.391
2022-11-16 13:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.361 s 0.706
2022-11-16 14:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.587 s -0.931
2022-11-16 14:08 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.763
2022-11-16 14:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.429
2022-11-16 13:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.319
2022-11-16 13:48 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.226 s 1.048
2022-11-16 13:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.636 s -0.058
2022-11-16 13:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.331 s 0.361
2022-11-16 14:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.360 s -1.938
2022-11-16 13:47 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.345 s -0.587
2022-11-16 14:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 0.907
2022-11-16 14:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.472 s -1.785
2022-11-16 13:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.172 s 0.039
2022-11-16 13:52 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.310 s 1.297
2022-11-16 13:53 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.625 s 1.793
2022-11-16 13:58 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.434
2022-11-16 13:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.711
2022-11-16 13:55 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.254
2022-11-16 13:56 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.520
2022-11-16 13:58 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.292 s 0.438
2022-11-16 13:47 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.723 s -0.319
2022-11-16 13:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.336
2022-11-16 14:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.326 s 0.236
2022-11-16 14:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.298 s -1.534
2022-11-16 14:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.322 s 1.035
2022-11-16 13:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s 0.023
2022-11-16 13:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.331 s 0.739
2022-11-16 13:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.289 s -0.517
2022-11-16 13:58 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s -0.257
2022-11-16 13:48 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 0.946
2022-11-16 13:53 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s -0.151
2022-11-16 13:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.611 s -0.351
2022-11-16 13:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s -1.011
2022-11-16 13:53 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.722 s -0.357
2022-11-16 13:57 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s -0.701
2022-11-16 13:58 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.739 s -0.250
2022-11-16 14:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.293 s 0.362
2022-11-16 13:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.015
2022-11-16 13:50 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.238 s -0.097
2022-11-16 13:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.309 s -0.086
2022-11-16 13:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s -0.256
2022-11-16 13:49 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.583 s -0.145
2022-11-16 13:55 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.283 s 0.296
2022-11-16 13:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.437 s 0.121
2022-11-16 13:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.051 s -0.329
2022-11-16 13:48 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s 0.042
2022-11-16 13:50 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.496 s 0.035
2022-11-16 13:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.331 s 0.473
2022-11-16 14:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.899 s -0.370
2022-11-16 13:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s -0.267
2022-11-16 14:03 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.159 s -0.283
2022-11-16 14:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.425 s 0.235
2022-11-16 14:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.037 s 0.598
2022-11-16 13:50 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.192 s 1.582
2022-11-16 13:50 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.118
2022-11-16 13:50 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.533
2022-11-16 13:53 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.188
2022-11-16 13:56 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.386 s -0.193
2022-11-16 13:57 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.422 s -0.912
2022-11-16 14:00 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.089 s 0.461
2022-11-16 14:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.735 s -0.248
2022-11-16 14:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.411 s -0.720
2022-11-16 14:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.324 s 0.038
2022-11-16 14:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.325 s -0.911
2022-11-16 14:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.924 s -0.406
2022-11-16 14:11 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.264 s -0.639
2022-11-16 13:59 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s -0.860
2022-11-16 14:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.331 s 0.322
2022-11-16 14:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.531 s -2.284
2022-11-16 14:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.528 s -0.963
2022-11-16 14:11 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.316 s -0.116
2022-11-16 13:52 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.262 s 0.493
2022-11-16 13:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s -0.546
2022-11-16 13:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.366 s 0.081
2022-11-16 14:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.300 s -1.276
2022-11-16 13:53 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.748
2022-11-16 13:55 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.664
2022-11-16 13:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.604 s 0.977
2022-11-16 14:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.859 s 0.775
2022-11-16 14:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.233 s 1.186
2022-11-16 14:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.594 s 0.450
2022-11-16 14:10 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.599 s -0.538
2022-11-16 13:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.763 s 1.157
2022-11-16 13:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.946 s 0.729
2022-11-16 14:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.203 s -0.940
2022-11-16 14:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.497 s -0.349
2022-11-16 14:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.816 s -1.419
2022-11-16 14:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.802
2022-11-16 14:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 0.999
2022-11-16 14:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.179 s 0.034
2022-11-16 14:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.587 s -1.453
2022-11-16 14:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.235 s -0.384
2022-11-16 13:58 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.319 s -0.302
2022-11-16 14:12 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.960 s -0.255
2022-11-16 14:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.650 s -0.294
2022-11-16 14:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s -0.066
2022-11-16 14:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s -1.734
2022-11-16 14:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.874 s -1.460
2022-11-16 14:05 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.183 s -0.121
2022-11-16 14:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.280 s 0.413
2022-11-16 14:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.252 s 0.327
2022-11-16 14:01 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.442
2022-11-16 14:08 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.204 s 0.377
2022-11-16 14:08 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.280 s -1.232
2022-11-16 14:06 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.206
2022-11-16 14:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.542 s -3.036
2022-11-16 14:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.301 s -1.439
2022-11-16 14:06 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.429
2022-11-16 14:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.005
2022-11-16 14:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.218 s -0.822
2022-11-16 14:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.890 s -0.408
2022-11-16 14:11 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.216 s -0.300
2022-11-16 14:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.192 s -1.047
2022-11-16 14:08 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s -0.013
2022-11-16 14:11 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.507
2022-11-16 14:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.375
2022-11-16 14:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s 0.123
2022-11-16 14:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.571
2022-11-16 14:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.189 s 1.181
2022-11-16 14:13 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.672 s 0.220
2022-11-16 14:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.205 s 0.759
2022-11-16 14:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s 0.150
2022-11-16 14:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.345
2022-11-16 14:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.531 s 0.968
2022-11-16 14:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.488 s 0.505
2022-11-16 14:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.429 s -0.545
2022-11-16 14:14 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.241 s -0.436
2022-11-16 14:19 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.780 s -0.007
2022-11-16 14:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.263 s -0.411
2022-11-16 14:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.321 s -0.865
2022-11-16 14:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.436 s -0.880
2022-11-16 14:17 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 1.045
2022-11-16 14:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.599 s 1.159
2022-11-16 14:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.009 s -0.304
2022-11-16 14:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.866 s -0.566
2022-11-16 14:17 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.685
2022-11-16 14:24 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s -0.093
2022-11-16 14:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.416 s -0.404
2022-11-16 14:17 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.555
2022-11-16 14:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.312 s -0.435
2022-11-16 14:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.316 s -1.713
2022-11-16 14:17 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.320
2022-11-16 14:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.110 s 0.545
2022-11-16 14:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.947 s 0.043
2022-11-16 14:24 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.546 s 1.053
2022-11-16 14:17 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.186
2022-11-16 14:24 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.437
2022-11-16 14:24 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.562
2022-11-16 14:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.914 s -0.858
2022-11-16 14:19 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.437 s 0.279
2022-11-16 14:24 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s 0.170
2022-11-16 14:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.901 s -0.300
2022-11-16 14:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.384 s -0.635
2022-11-16 14:17 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.068 s -0.250
2022-11-16 14:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.719 s -0.824
2022-11-16 14:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.617
2022-11-16 14:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.448 s -0.971
2022-11-16 14:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.303 s 0.204
2022-11-16 14:33 JavaScript Iterate Vector int16Array 0.002 s 0.201
2022-11-16 14:33 JavaScript Iterate Vector int64Array 0.005 s -2.537
2022-11-16 14:34 JavaScript Spread Vector uint64Array 0.012 s -0.138
2022-11-16 14:34 JavaScript Spread Vector int16Array 0.006 s 0.125
2022-11-16 14:34 JavaScript toArray Vector booleans 0.010 s -0.031
2022-11-16 14:34 JavaScript toArray Vector string 0.145 s 0.411
2022-11-16 14:34 JavaScript get Vector string 0.124 s 0.335
2022-11-16 14:34 JavaScript Parse write recordBatches, tracks 0.002 s 0.019
2022-11-16 14:34 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.024
2022-11-16 14:34 JavaScript Spread Vector uint8Array 0.006 s 0.286
2022-11-16 14:34 JavaScript Spread Vector uint32Array 0.007 s 0.068
2022-11-16 14:34 JavaScript Spread Vector int8Array 0.006 s 0.322
2022-11-16 14:33 JavaScript vectorFromArray numbers 0.016 s 0.723
2022-11-16 14:33 JavaScript vectorFromArray dictionary 0.017 s 0.560
2022-11-16 14:33 JavaScript Iterate Vector uint16Array 0.002 s 0.090
2022-11-16 14:34 JavaScript Spread Vector dictionary 0.010 s 0.264
2022-11-16 14:34 JavaScript get Vector uint8Array 0.003 s -0.402
2022-11-16 14:34 JavaScript get Vector numbers 0.002 s 0.065
2022-11-16 14:34 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.185 s 0.974
2022-11-16 14:34 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.186
2022-11-16 14:34 JavaScript toArray Vector uint8Array
2022-11-16 14:34 JavaScript toArray Vector dictionary 0.010 s 0.174
2022-11-16 14:34 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.643
2022-11-16 14:34 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.456
2022-11-16 14:33 JavaScript vectorFromArray booleans 0.018 s -0.052
2022-11-16 14:33 JavaScript Iterate Vector uint8Array 0.002 s 0.128
2022-11-16 14:34 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.401
2022-11-16 14:34 JavaScript get Vector uint32Array 0.003 s -0.639
2022-11-16 14:34 JavaScript get Vector int8Array 0.003 s 0.551
2022-11-16 14:34 JavaScript get Vector int32Array 0.003 s 0.011
2022-11-16 14:33 JavaScript Iterate Vector uint32Array 0.002 s 0.699
2022-11-16 14:33 JavaScript Iterate Vector int8Array 0.002 s 0.493
2022-11-16 14:33 JavaScript Iterate Vector int32Array 0.002 s 0.613
2022-11-16 14:34 JavaScript Iterate Vector float32Array 0.002 s 0.680
2022-11-16 14:34 JavaScript Iterate Vector numbers 0.002 s 0.788
2022-11-16 14:34 JavaScript Spread Vector string 0.143 s 1.556
2022-11-16 14:33 JavaScript Iterate Vector uint64Array 0.005 s -2.634
2022-11-16 14:34 JavaScript Iterate Vector float64Array 0.002 s 0.742
2022-11-16 14:34 JavaScript Iterate Vector booleans 0.004 s 0.371
2022-11-16 14:34 JavaScript Iterate Vector string 0.126 s 0.223
2022-11-16 14:34 JavaScript Spread Vector uint16Array 0.006 s 0.310
2022-11-16 14:34 JavaScript Spread Vector float64Array 0.008 s 0.306
2022-11-16 14:34 JavaScript Iterate Vector dictionary 0.004 s -0.527
2022-11-16 14:34 JavaScript Spread Vector float32Array 0.008 s 0.265
2022-11-16 14:34 JavaScript Spread Vector int32Array 0.006 s 0.225
2022-11-16 14:34 JavaScript Spread Vector numbers 0.008 s 0.430
2022-11-16 14:34 JavaScript toArray Vector int8Array
2022-11-16 14:34 JavaScript toArray Vector numbers
2022-11-16 14:34 JavaScript get Vector float32Array 0.002 s -0.513
2022-11-16 14:34 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.281
2022-11-16 14:34 JavaScript Spread Vector int64Array 0.012 s -1.083
2022-11-16 14:34 JavaScript get Vector uint64Array 0.003 s -1.225
2022-11-16 14:34 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.081
2022-11-16 14:34 JavaScript Spread Vector booleans 0.010 s 0.340
2022-11-16 14:34 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.067
2022-11-16 14:34 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.793
2022-11-16 14:34 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 14:34 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.419
2022-11-16 14:34 JavaScript toArray Vector uint16Array
2022-11-16 14:34 JavaScript toArray Vector int64Array
2022-11-16 14:34 JavaScript get Vector uint16Array 0.003 s -0.141
2022-11-16 14:34 JavaScript get Vector int16Array 0.003 s -0.004
2022-11-16 14:34 JavaScript get Vector int64Array 0.003 s -0.401
2022-11-16 14:34 JavaScript get Vector float64Array 0.002 s 0.018
2022-11-16 14:34 JavaScript toArray Vector uint32Array
2022-11-16 14:34 JavaScript toArray Vector int32Array
2022-11-16 14:34 JavaScript toArray Vector float32Array
2022-11-16 14:34 JavaScript get Vector dictionary 0.002 s -0.393
2022-11-16 14:34 JavaScript Parse read recordBatches, tracks 0.000 s 0.712
2022-11-16 14:34 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 1.646
2022-11-16 14:34 JavaScript toArray Vector uint64Array
2022-11-16 14:34 JavaScript toArray Vector int16Array
2022-11-16 14:34 JavaScript toArray Vector float64Array
2022-11-16 14:34 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 14:34 JavaScript get Vector booleans 0.002 s 0.025
2022-11-16 14:34 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.507
2022-11-16 14:34 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 2.099
2022-11-16 14:34 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.473
2022-11-16 14:34 JavaScript Table tracks, 1,000,000 0.254 s 0.912
2022-11-16 14:34 JavaScript Table tracks, 1,000,000 0.095 s -0.336
2022-11-16 14:34 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.182
2022-11-16 14:34 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.075
2022-11-16 14:34 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 14:34 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 14:34 JavaScript Table tracks, 1,000,000 0.050 s 0.207
2022-11-16 14:34 JavaScript Table 1,000,000, tracks 0.298 s -1.179
2022-11-16 14:34 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.227
2022-11-16 14:34 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.147