Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-11 05:31 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.617 s -0.429
2022-11-11 05:31 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.678 s 0.611
2022-11-11 05:46 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 92.571 s -3.046
2022-11-11 05:41 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 96.308 s -1.488
2022-11-11 05:33 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.131 s -0.102
2022-11-11 05:36 Python dataframe-to-table type_nested 2.904 s -1.952
2022-11-11 05:33 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.124 s 0.532
2022-11-11 05:31 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.265 s -1.225
2022-11-11 05:36 Python dataframe-to-table type_strings 0.442 s 0.642
2022-11-11 05:36 Python dataframe-to-table type_integers 0.010 s 0.084
2022-11-11 05:34 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.143 s -0.437
2022-11-11 05:36 Python dataframe-to-table type_floats 0.010 s 0.463
2022-11-11 05:32 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.697 s -0.875
2022-11-11 05:36 Python dataframe-to-table chi_traffic_2020_Q1 20.639 s -2.015
2022-11-11 05:36 Python dataset-filter nyctaxi_2010-01 1.010 s -0.222
2022-11-11 05:36 Python dataframe-to-table type_dict 0.012 s -0.768
2022-11-11 05:33 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.423 s 0.444
2022-11-11 06:19 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.759
2022-11-11 05:59 Python dataset-read async=True, nyctaxi_multi_ipc_s3 261.312 s -3.001
2022-11-11 05:59 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.313 s -0.269
2022-11-11 06:00 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.174 s -1.941
2022-11-11 06:09 Python wide-dataframe use_legacy_dataset=true 0.373 s 0.466
2022-11-11 06:30 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.393 s 0.086
2022-11-11 06:00 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.189 s 0.461
2022-11-11 06:06 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.019 s 0.073
2022-11-11 06:02 Python file-read lz4, feather, table, nyctaxi_2010-01 0.685 s 0.554
2022-11-11 06:09 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.366 s 1.054
2022-11-11 06:18 R dataframe-to-table type_nested, R 0.571 s 0.794
2022-11-11 06:21 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.823 s -0.670
2022-11-11 06:00 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.637 s -1.439
2022-11-11 06:00 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.510 s -0.777
2022-11-11 06:04 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.204 s 1.567
2022-11-11 06:25 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.924 s 0.741
2022-11-11 06:02 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.929 s 1.204
2022-11-11 06:02 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.364 s -0.185
2022-11-11 06:19 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.332 s -1.025
2022-11-11 06:35 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.918 s 0.476
2022-11-11 06:22 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.501 s 0.758
2022-11-11 06:01 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.792 s -0.574
2022-11-11 06:09 Python file-write lz4, feather, table, nyctaxi_2010-01 1.650 s 0.684
2022-11-11 06:18 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.334 s -1.060
2022-11-11 06:19 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.315 s -0.652
2022-11-11 06:38 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.575 s -0.451
2022-11-11 06:02 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.605 s -0.416
2022-11-11 06:20 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.598 s -0.307
2022-11-11 06:43 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.194 s 0.643
2022-11-11 06:04 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.354 s 0.873
2022-11-11 06:09 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.971 s 0.265
2022-11-11 06:00 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.048 s 0.155
2022-11-11 06:02 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.927 s -0.732
2022-11-11 06:18 R dataframe-to-table type_floats, R 0.013 s 0.873
2022-11-11 06:36 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.313 s -0.745
2022-11-11 06:38 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.216 s -0.949
2022-11-11 05:59 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.426 s -0.841
2022-11-11 06:00 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.657 s -1.591
2022-11-11 06:01 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.972 s -0.827
2022-11-11 06:02 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.926 s -0.644
2022-11-11 06:08 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.058 s 1.501
2022-11-11 05:59 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.200 s 0.289
2022-11-11 06:00 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.656 s 0.239
2022-11-11 06:01 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.512 s -0.495
2022-11-11 06:01 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.378 s -0.657
2022-11-11 06:02 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.980 s -1.234
2022-11-11 06:03 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.073 s 0.586
2022-11-11 06:07 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.592 s 1.443
2022-11-11 06:01 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.324 s 0.594
2022-11-11 06:06 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.474 s 1.122
2022-11-11 06:18 R dataframe-to-table type_strings, R 0.537 s 0.719
2022-11-11 06:28 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.912 s 0.588
2022-11-11 06:39 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.270 s -0.245
2022-11-11 05:59 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.176 s 0.203
2022-11-11 06:00 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.160 s -0.283
2022-11-11 06:05 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.554 s 1.449
2022-11-11 06:18 R dataframe-to-table type_integers, R 0.010 s 0.743
2022-11-11 06:19 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.588 s -1.052
2022-11-11 06:20 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.855 s -0.758
2022-11-11 06:26 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.589 s 0.622
2022-11-11 06:40 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.002 s 0.199
2022-11-11 06:08 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.525 s 1.362
2022-11-11 06:18 R dataframe-to-table type_dict, R 0.057 s 0.337
2022-11-11 06:20 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.532
2022-11-11 06:21 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.581 s 0.059
2022-11-11 06:24 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.122 s 0.704
2022-11-11 06:45 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.312 s 0.921
2022-11-11 06:47 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.182
2022-11-11 06:00 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.046 s 0.185
2022-11-11 06:01 Python file-read lz4, feather, table, fanniemae_2016Q4 0.832 s -1.028
2022-11-11 06:20 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.906 s -0.958
2022-11-11 06:44 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.407
2022-11-11 06:44 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.186 s -0.820
2022-11-11 06:17 R dataframe-to-table chi_traffic_2020_Q1, R 4.308 s -0.036
2022-11-11 06:27 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.953 s 0.110
2022-11-11 06:40 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.695 s -0.057
2022-11-11 06:40 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.572
2022-11-11 06:42 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.301 s -1.683
2022-11-11 06:06 Python file-write lz4, feather, table, fanniemae_2016Q4 1.558 s -0.001
2022-11-11 06:09 Python wide-dataframe use_legacy_dataset=false 0.510 s 0.633
2022-11-11 06:20 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.555 s -0.712
2022-11-11 06:38 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.250 s -1.316
2022-11-11 06:07 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.390 s 1.411
2022-11-11 06:08 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 8.960 s 1.849
2022-11-11 06:09 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.751 s 1.479
2022-11-11 06:19 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.584 s -1.015
2022-11-11 06:40 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.610
2022-11-11 06:42 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.787
2022-11-11 06:20 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.551 s -0.782
2022-11-11 06:39 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.589 s -0.420
2022-11-11 06:20 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.902 s -0.947
2022-11-11 06:21 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.909 s -0.680
2022-11-11 06:31 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.005 s 0.669
2022-11-11 06:33 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.734 s 0.681
2022-11-11 06:44 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.240 s -0.727
2022-11-11 06:45 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.310 s -0.260
2022-11-11 06:29 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 0.418
2022-11-11 06:39 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.279 s -0.696
2022-11-11 06:41 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.066 s -1.569
2022-11-11 06:44 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 1.519
2022-11-11 06:44 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.899 s 0.500
2022-11-11 06:46 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.627 s 1.185
2022-11-11 06:46 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.209
2022-11-11 06:38 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.559 s -0.413
2022-11-11 06:32 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.943 s 0.706
2022-11-11 06:35 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.305 s 0.753
2022-11-11 06:37 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.469 s -0.070
2022-11-11 06:41 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.760
2022-11-11 06:42 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s -0.303
2022-11-11 06:45 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.349 s -1.436
2022-11-11 06:39 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.196 s -0.621
2022-11-11 06:41 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.283 s 1.079
2022-11-11 06:41 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.331 s 0.931
2022-11-11 06:43 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.230 s -1.015
2022-11-11 06:45 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.652 s -1.978
2022-11-11 06:46 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.660 s 0.258
2022-11-11 06:39 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.509
2022-11-11 06:38 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.577 s 0.463
2022-11-11 06:39 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.238 s -1.784
2022-11-11 06:41 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.428 s -0.216
2022-11-11 06:42 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.266 s -0.933
2022-11-11 06:41 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.650 s 1.226
2022-11-11 06:43 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.598 s -1.525
2022-11-11 06:41 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.348 s -1.893
2022-11-11 06:45 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.943
2022-11-11 06:42 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.588 s -0.925
2022-11-11 06:43 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.908 s 0.436
2022-11-11 06:43 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.199 s -1.149
2022-11-11 06:47 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s -0.120
2022-11-11 06:45 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.260 s 1.463
2022-11-11 06:47 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.232 s -1.031
2022-11-11 06:46 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s -1.134
2022-11-11 06:47 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s -0.624
2022-11-11 06:47 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.345 s 0.284
2022-11-11 06:48 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.333 s -0.775
2022-11-11 06:48 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.507
2022-11-11 06:48 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.288 s -0.578
2022-11-11 06:48 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s -0.735
2022-11-11 06:48 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.286
2022-11-11 06:48 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.705
2022-11-11 06:49 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.659 s -0.970
2022-11-11 06:50 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.708 s -0.285
2022-11-11 06:49 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.762 s 1.313
2022-11-11 06:50 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 1.178
2022-11-11 06:49 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.326 s 0.723
2022-11-11 06:49 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.629 s -0.725
2022-11-11 06:50 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 1.202
2022-11-11 06:51 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.603 s 1.574
2022-11-11 06:50 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s -0.515
2022-11-11 06:50 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s -0.236
2022-11-11 06:52 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.368 s -0.724
2022-11-11 06:51 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.265 s 1.557
2022-11-11 06:51 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.291 s 1.017
2022-11-11 06:51 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s 0.116
2022-11-11 06:51 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.758 s -0.702
2022-11-11 06:52 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.764 s 0.024
2022-11-11 06:53 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.249 s 0.437
2022-11-11 06:52 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.433 s 1.262
2022-11-11 06:53 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.144 s -0.645
2022-11-11 06:52 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.956 s -0.327
2022-11-11 06:53 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.296 s -1.282
2022-11-11 06:53 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s -0.755
2022-11-11 06:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.317 s 0.624
2022-11-11 06:55 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.206
2022-11-11 06:53 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.254 s -0.571
2022-11-11 06:55 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.716 s -0.191
2022-11-11 06:54 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s -0.447
2022-11-11 06:55 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 1.416
2022-11-11 06:55 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s -0.533
2022-11-11 06:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.898 s 0.157
2022-11-11 06:55 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 1.100
2022-11-11 07:02 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.797
2022-11-11 06:55 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.322 s 1.673
2022-11-11 06:56 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.294 s -0.197
2022-11-11 06:58 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.412 s -0.569
2022-11-11 07:03 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.037
2022-11-11 06:55 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s -0.395
2022-11-11 07:01 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.788 s -0.902
2022-11-11 07:00 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.326 s -1.488
2022-11-11 07:00 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.917 s -0.164
2022-11-11 07:01 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s -0.061
2022-11-11 06:56 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.853 s 1.587
2022-11-11 06:56 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s 0.047
2022-11-11 07:03 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s -0.416
2022-11-11 06:56 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.124 s 0.466
2022-11-11 06:58 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.583 s 0.875
2022-11-11 06:59 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.273 s 2.222
2022-11-11 06:57 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.467 s -0.204
2022-11-11 06:58 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.323 s 1.080
2022-11-11 07:00 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.423 s 0.566
2022-11-11 07:02 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 1.105
2022-11-11 07:02 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.603 s -0.625
2022-11-11 06:56 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.251 s -1.331
2022-11-11 06:57 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.872 s -1.495
2022-11-11 06:58 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.821
2022-11-11 07:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.464 s 0.799
2022-11-11 07:03 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.215 s 0.837
2022-11-11 07:03 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.316 s 2.822
2022-11-11 06:57 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.515 s 0.162
2022-11-11 06:58 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.153 s 0.303
2022-11-11 06:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.823 s -0.196
2022-11-11 07:02 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.730
2022-11-11 07:02 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.586 s -1.108
2022-11-11 07:00 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.176
2022-11-11 07:00 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.258
2022-11-11 07:01 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.484
2022-11-11 06:56 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.357 s -1.077
2022-11-11 07:03 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.602
2022-11-11 06:58 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.225 s -1.377
2022-11-11 06:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.303 s 0.809
2022-11-11 07:00 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.257 s -1.218
2022-11-11 07:03 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.600 s -0.618
2022-11-11 07:08 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.214 s 0.375
2022-11-11 07:04 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.025 s 0.871
2022-11-11 07:04 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s -0.036
2022-11-11 07:04 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.518 s 1.965
2022-11-11 07:05 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.317 s -0.873
2022-11-11 07:04 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.881 s 1.038
2022-11-11 07:04 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.238
2022-11-11 07:04 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s -0.665
2022-11-11 07:05 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.413
2022-11-11 07:08 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.866 s -0.737
2022-11-11 07:06 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.205 s 0.950
2022-11-11 07:06 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.513
2022-11-11 07:05 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.953 s -0.042
2022-11-11 07:05 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.661 s 0.298
2022-11-11 07:07 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.472 s 1.591
2022-11-11 07:06 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.885 s -1.689
2022-11-11 07:06 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s -0.762
2022-11-11 07:18 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.447 s -0.793
2022-11-11 07:06 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s -0.099
2022-11-11 07:07 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.401 s 1.723
2022-11-11 07:10 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.106 s -0.572
2022-11-11 07:10 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.553
2022-11-11 07:27 JavaScript vectorFromArray booleans 0.017 s 0.822
2022-11-11 07:27 JavaScript Iterate Vector int64Array 0.005 s -3.271
2022-11-11 07:27 JavaScript toArray Vector int8Array
2022-11-11 07:07 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.534 s 0.356
2022-11-11 07:09 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.308 s -1.018
2022-11-11 07:09 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.420 s 0.035
2022-11-11 07:12 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.702 s 1.830
2022-11-11 07:27 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-11 07:12 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.376 s 0.842
2022-11-11 07:27 JavaScript Iterate Vector uint32Array 0.002 s -1.775
2022-11-11 07:27 JavaScript Spread Vector uint32Array 0.007 s 0.540
2022-11-11 07:27 JavaScript toArray Vector uint32Array
2022-11-11 07:08 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.263 s -0.755
2022-11-11 07:08 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.433 s -0.849
2022-11-11 07:11 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.961
2022-11-11 07:27 JavaScript Table 1,000,000, tracks 0.292 s -0.896
2022-11-11 07:08 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.318 s -0.894
2022-11-11 07:13 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.881 s 0.461
2022-11-11 07:27 JavaScript vectorFromArray numbers 0.016 s 0.513
2022-11-11 07:27 JavaScript vectorFromArray dictionary 0.017 s -0.778
2022-11-11 07:08 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.427 s -0.718
2022-11-11 07:10 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.620
2022-11-11 07:15 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.748 s 1.343
2022-11-11 07:27 JavaScript toArray Vector numbers
2022-11-11 07:17 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.086
2022-11-11 07:17 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.082
2022-11-11 07:27 JavaScript Iterate Vector dictionary 0.004 s -0.878
2022-11-11 07:27 JavaScript toArray Vector uint8Array
2022-11-11 07:27 JavaScript toArray Vector dictionary 0.010 s -0.269
2022-11-11 07:27 JavaScript get Vector uint8Array 0.003 s -0.162
2022-11-11 07:27 JavaScript get Vector uint32Array 0.003 s -0.126
2022-11-11 07:10 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.868
2022-11-11 07:11 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.484
2022-11-11 07:18 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.222 s -0.329
2022-11-11 07:18 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.504
2022-11-11 07:27 JavaScript Iterate Vector uint8Array 0.002 s -0.792
2022-11-11 07:27 JavaScript Spread Vector float32Array 0.008 s 0.486
2022-11-11 07:12 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.776 s 0.534
2022-11-11 07:27 JavaScript Iterate Vector float64Array 0.002 s -0.904
2022-11-11 07:27 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -2.185
2022-11-11 07:12 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.911 s -0.874
2022-11-11 07:27 JavaScript Iterate Vector uint64Array 0.005 s -4.193
2022-11-11 07:27 JavaScript Spread Vector string 0.146 s -0.299
2022-11-11 07:10 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.620
2022-11-11 07:12 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.440 s -0.701
2022-11-11 07:18 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.301 s -0.218
2022-11-11 07:27 JavaScript Iterate Vector uint16Array 0.002 s -0.338
2022-11-11 07:27 JavaScript Spread Vector uint64Array 0.012 s -1.970
2022-11-11 07:27 JavaScript toArray Vector int16Array
2022-11-11 07:27 JavaScript toArray Vector float64Array
2022-11-11 07:11 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.955 s -1.311
2022-11-11 07:17 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.540 s 1.113
2022-11-11 07:18 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.258 s -1.216
2022-11-11 07:27 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.115
2022-11-11 07:13 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.106 s 0.672
2022-11-11 07:17 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.240 s -1.669
2022-11-11 07:27 JavaScript Iterate Vector int16Array 0.002 s -0.502
2022-11-11 07:27 JavaScript Spread Vector uint16Array 0.006 s 0.511
2022-11-11 07:27 JavaScript toArray Vector string 0.145 s 0.660
2022-11-11 07:27 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.124
2022-11-11 07:27 JavaScript Iterate Vector int8Array 0.002 s -1.019
2022-11-11 07:27 JavaScript Iterate Vector int32Array 0.002 s -0.232
2022-11-11 07:27 JavaScript Iterate Vector float32Array 0.002 s -1.443
2022-11-11 07:27 JavaScript Spread Vector dictionary 0.010 s -0.026
2022-11-11 07:27 JavaScript toArray Vector float32Array
2022-11-11 07:27 JavaScript Iterate Vector numbers 0.002 s -0.989
2022-11-11 07:27 JavaScript Spread Vector uint8Array 0.006 s 0.407
2022-11-11 07:27 JavaScript Spread Vector int8Array 0.006 s 0.300
2022-11-11 07:27 JavaScript Spread Vector int32Array 0.006 s 0.556
2022-11-11 07:27 JavaScript Spread Vector numbers 0.008 s 0.147
2022-11-11 07:27 JavaScript toArray Vector int32Array
2022-11-11 07:27 JavaScript Iterate Vector booleans 0.004 s 0.465
2022-11-11 07:27 JavaScript Iterate Vector string 0.124 s 1.651
2022-11-11 07:27 JavaScript toArray Vector uint16Array
2022-11-11 07:27 JavaScript toArray Vector uint64Array
2022-11-11 07:27 JavaScript toArray Vector int64Array
2022-11-11 07:27 JavaScript toArray Vector booleans 0.010 s -0.038
2022-11-11 07:27 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.674
2022-11-11 07:27 JavaScript Spread Vector int16Array 0.006 s 0.488
2022-11-11 07:27 JavaScript Spread Vector int64Array 0.012 s -1.015
2022-11-11 07:27 JavaScript Spread Vector float64Array 0.008 s 0.398
2022-11-11 07:27 JavaScript Spread Vector booleans 0.010 s -0.106
2022-11-11 07:27 JavaScript get Vector uint16Array 0.003 s 0.086
2022-11-11 07:27 JavaScript get Vector uint64Array 0.003 s 0.637
2022-11-11 07:27 JavaScript get Vector int16Array 0.003 s -0.506
2022-11-11 07:27 JavaScript get Vector int64Array 0.003 s 0.080
2022-11-11 07:27 JavaScript get Vector float64Array 0.002 s 0.120
2022-11-11 07:27 JavaScript get Vector booleans 0.002 s -4.674
2022-11-11 07:27 JavaScript get Vector string 0.123 s 0.701
2022-11-11 07:27 JavaScript get Vector int8Array 0.003 s 0.289
2022-11-11 07:27 JavaScript get Vector int32Array 0.003 s
2022-11-11 07:27 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.547
2022-11-11 07:27 JavaScript Table tracks, 1,000,000 0.051 s -0.191
2022-11-11 07:27 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.149
2022-11-11 07:27 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.729
2022-11-11 07:27 JavaScript get Vector float32Array 0.002 s 0.108
2022-11-11 07:27 JavaScript get Vector numbers 0.002 s 0.131
2022-11-11 07:27 JavaScript get Vector dictionary 0.002 s -0.844
2022-11-11 07:27 JavaScript Parse read recordBatches, tracks 0.000 s -0.332
2022-11-11 07:27 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.245
2022-11-11 07:27 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.051
2022-11-11 07:27 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.654
2022-11-11 07:27 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -2.085
2022-11-11 07:27 JavaScript Parse write recordBatches, tracks 0.002 s -1.068
2022-11-11 07:27 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.233
2022-11-11 07:27 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s 0.203
2022-11-11 07:27 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.013
2022-11-11 07:27 JavaScript Table tracks, 1,000,000 0.276 s -0.084
2022-11-11 07:27 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -0.353
2022-11-11 07:27 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.803
2022-11-11 07:27 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-11 07:27 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.194 s -2.226
2022-11-11 07:27 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.366
2022-11-11 07:27 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.119
2022-11-11 07:27 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-11 07:27 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-11 07:27 JavaScript Table tracks, 1,000,000 0.095 s -0.127