Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-04 23:05 Python dataframe-to-table type_strings 0.450 s -0.433
2022-11-04 23:06 Python dataframe-to-table type_nested 2.830 s 0.705
2022-11-04 23:01 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.979 s 1.531
2022-11-04 23:01 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.163 s 1.035
2022-11-04 23:05 Python dataframe-to-table type_integers 0.010 s 0.518
2022-11-04 23:02 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.122 s 0.698
2022-11-04 23:00 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.241 s 0.474
2022-11-04 23:00 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.672 s 1.429
2022-11-04 23:02 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.427 s -0.196
2022-11-04 23:06 Python dataset-filter nyctaxi_2010-01 1.010 s -0.370
2022-11-04 23:03 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.707 s 1.379
2022-11-04 23:05 Python dataframe-to-table chi_traffic_2020_Q1 20.333 s 0.328
2022-11-04 23:03 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.762 s 1.405
2022-11-04 23:05 Python dataframe-to-table type_dict 0.011 s 0.290
2022-11-04 23:05 Python dataframe-to-table type_floats 0.011 s -0.315
2022-11-04 23:10 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 77.716 s 0.675
2022-11-04 23:26 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.160 s -0.540
2022-11-04 23:14 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.332 s 0.608
2022-11-04 23:26 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.318 s 1.326
2022-11-04 23:27 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.348 s -0.874
2022-11-04 23:28 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.069 s 1.204
2022-11-04 23:26 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.628 s -2.067
2022-11-04 23:25 Python dataset-read async=True, nyctaxi_multi_ipc_s3 217.773 s 0.709
2022-11-04 23:25 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.180 s 0.612
2022-11-04 23:26 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.617 s -2.711
2022-11-04 23:26 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.491 s -1.269
2022-11-04 23:28 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.946 s -1.607
2022-11-04 23:26 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.052 s 0.118
2022-11-04 23:35 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.425
2022-11-04 23:27 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.963 s -0.360
2022-11-04 23:27 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.921 s -0.710
2022-11-04 23:31 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.085 s -0.502
2022-11-04 23:35 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.447 s -0.195
2022-11-04 23:25 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.192 s -0.117
2022-11-04 23:33 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.150 s 1.272
2022-11-04 23:26 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.668 s 0.075
2022-11-04 23:26 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.204 s -1.683
2022-11-04 23:28 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.381 s -1.098
2022-11-04 23:25 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.212 s 0.028
2022-11-04 23:25 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.299 s -0.102
2022-11-04 23:25 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.056 s 0.119
2022-11-04 23:26 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.128 s -0.249
2022-11-04 23:27 Python file-read lz4, feather, table, fanniemae_2016Q4 0.813 s 1.430
2022-11-04 23:27 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.981 s -2.069
2022-11-04 23:28 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.610 s -1.054
2022-11-04 23:33 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.914 s -0.769
2022-11-04 23:33 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.576 s 2.536
2022-11-04 23:34 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.980 s 0.091
2022-11-04 23:27 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.786 s -1.038
2022-11-04 23:27 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.911 s 0.042
2022-11-04 23:26 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.491 s -0.865
2022-11-04 23:28 Python file-read lz4, feather, table, nyctaxi_2010-01 0.692 s -0.965
2022-11-04 23:31 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.052 s 0.961
2022-11-04 23:34 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.061 s 1.437
2022-11-04 23:29 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.748 s 0.961
2022-11-04 23:32 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.925 s -0.698
2022-11-04 23:32 Python file-write lz4, feather, table, fanniemae_2016Q4 1.549 s 0.433
2022-11-04 23:35 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.871 s -0.237
2022-11-04 23:30 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.368 s 1.432
2022-11-04 23:35 Python file-write lz4, feather, table, nyctaxi_2010-01 1.658 s 0.432
2022-11-04 23:35 Python wide-dataframe use_legacy_dataset=false 0.510 s 0.784
2022-11-04 23:34 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.518 s 1.585
2022-11-04 23:43 R dataframe-to-table chi_traffic_2020_Q1, R 4.287 s 0.177
2022-11-04 23:43 R dataframe-to-table type_strings, R 0.544 s -1.249
2022-11-04 23:44 R dataframe-to-table type_dict, R 0.071 s -1.291
2022-11-04 23:44 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.588 s -1.006
2022-11-04 23:44 R dataframe-to-table type_integers, R 0.011 s 0.078
2022-11-04 23:44 R dataframe-to-table type_floats, R 0.013 s -0.714
2022-11-04 23:44 R dataframe-to-table type_nested, R 0.581 s -1.364
2022-11-04 23:44 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.337 s -1.110
2022-11-04 23:45 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.319 s -0.755
2022-11-04 23:46 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.556 s -1.901
2022-11-04 23:45 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.597
2022-11-04 23:47 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.582 s -0.362
2022-11-04 23:45 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.562 s -0.552
2022-11-04 23:45 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.316 s -0.924
2022-11-04 23:46 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.853 s -0.707
2022-11-04 23:45 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.605 s -1.958
2022-11-04 23:46 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.907 s -1.956
2022-11-04 23:46 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.911 s -2.087
2022-11-04 23:46 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.562 s -2.160
2022-11-04 23:46 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.826 s -1.592
2022-11-04 23:47 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.912 s -1.610
2022-11-04 23:46 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.184
2022-11-05 00:04 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.582 s 0.267
2022-11-04 23:48 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.518 s 1.270
2022-11-04 23:50 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.920 s 1.378
2022-11-04 23:57 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.991 s 1.141
2022-11-04 23:59 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.712 s 1.180
2022-11-05 00:02 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.267 s 0.713
2022-11-05 00:04 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.578 s -0.631
2022-11-05 00:04 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.234 s 0.751
2022-11-05 00:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.276 s 0.613
2022-11-05 00:00 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.862 s 1.177
2022-11-05 00:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.198 s 0.019
2022-11-05 00:04 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.181 s 0.531
2022-11-04 23:54 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.951 s -0.194
2022-11-04 23:52 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.547 s 1.465
2022-11-04 23:49 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.108 s 1.406
2022-11-04 23:56 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.374 s 0.432
2022-11-05 00:04 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s 0.156
2022-11-04 23:53 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.967 s -2.246
2022-11-04 23:58 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.915 s 1.241
2022-11-05 00:01 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.308 s -0.119
2022-11-05 00:03 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.280
2022-11-05 00:04 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.246 s 0.444
2022-11-04 23:55 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.500 s -0.246
2022-11-05 00:04 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.544 s 1.083
2022-11-05 00:06 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.728 s -0.000
2022-11-05 00:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.270 s 0.202
2022-11-05 00:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s 0.143
2022-11-05 00:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s 0.136
2022-11-05 00:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.604
2022-11-05 00:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.344 s 0.469
2022-11-05 00:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.235 s 0.657
2022-11-05 00:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.328 s 0.501
2022-11-05 00:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.426 s 0.415
2022-11-05 00:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.615
2022-11-05 00:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.655 s 0.529
2022-11-05 00:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s 0.491
2022-11-05 00:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s 0.535
2022-11-05 00:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.046 s 0.205
2022-11-05 00:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.682
2022-11-05 00:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.228 s 0.638
2022-11-05 00:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.583 s 0.226
2022-11-05 00:07 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.264 s 0.580
2022-11-05 00:09 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.497 s 0.124
2022-11-05 00:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.297 s 0.609
2022-11-05 00:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.919 s 0.062
2022-11-05 00:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 0.689
2022-11-05 00:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.756
2022-11-05 00:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.754
2022-11-05 00:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.265 s 0.616
2022-11-05 00:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s 0.266
2022-11-05 00:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.903 s 0.442
2022-11-05 00:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.187 s 0.195
2022-11-05 00:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.638 s 0.263
2022-11-05 00:10 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.593
2022-11-05 00:10 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.696
2022-11-05 00:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.263 s 0.646
2022-11-05 00:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s 0.472
2022-11-05 00:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.315 s 0.621
2022-11-05 00:12 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.630 s 0.642
2022-11-05 00:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.577
2022-11-05 00:12 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.718 s 0.082
2022-11-05 00:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s 0.520
2022-11-05 00:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.451
2022-11-05 00:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s 0.469
2022-11-05 00:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.229 s 0.465
2022-11-05 00:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.330 s 0.537
2022-11-05 00:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.653 s 0.260
2022-11-05 00:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.280 s 0.012
2022-11-05 00:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.504 s 0.129
2022-11-05 00:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.365 s 0.501
2022-11-05 00:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.346 s 0.493
2022-11-05 00:13 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.284 s 0.489
2022-11-05 00:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.284 s 0.548
2022-11-05 00:15 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s 0.518
2022-11-05 00:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.292 s 0.694
2022-11-05 00:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.317 s 0.648
2022-11-05 00:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.731
2022-11-05 00:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.620 s 0.052
2022-11-05 00:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.341 s 0.552
2022-11-05 00:17 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.724 s 0.120
2022-11-05 00:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.951 s 0.654
2022-11-05 00:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.650 s 0.248
2022-11-05 00:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.246 s 0.755
2022-11-05 00:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.226 s 0.687
2022-11-05 00:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s 0.487
2022-11-05 00:15 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.326 s 0.657
2022-11-05 00:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.248 s 0.348
2022-11-05 00:15 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.776 s 0.358
2022-11-05 00:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.607 s 0.657
2022-11-05 00:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.690
2022-11-05 00:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.855 s 0.639
2022-11-05 00:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.331 s 0.525
2022-11-05 00:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.295 s 0.356
2022-11-05 00:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.292 s 0.467
2022-11-05 00:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.546
2022-11-05 00:15 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.332 s 0.654
2022-11-05 00:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.365 s 0.568
2022-11-05 00:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s 0.558
2022-11-05 00:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s 0.571
2022-11-05 00:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s 0.485
2022-11-05 00:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.362 s 0.662
2022-11-05 00:19 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.107 s 0.146
2022-11-05 00:27 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.827 s -1.893
2022-11-05 00:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.437 s 0.707
2022-11-05 00:20 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.678
2022-11-05 00:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s 0.464
2022-11-05 00:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.355 s 0.220
2022-11-05 00:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.578 s 1.573
2022-11-05 00:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.254 s 0.529
2022-11-05 00:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.962 s -0.065
2022-11-05 00:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s 0.612
2022-11-05 00:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.172 s -0.900
2022-11-05 00:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.323 s 0.262
2022-11-05 00:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.315 s 0.525
2022-11-05 00:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s 0.267
2022-11-05 00:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.777 s 0.146
2022-11-05 00:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s 0.681
2022-11-05 00:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.899 s 0.529
2022-11-05 00:20 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s 0.468
2022-11-05 00:23 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.212 s -1.225
2022-11-05 00:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.826 s 0.178
2022-11-05 00:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s 0.425
2022-11-05 00:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.407 s 0.803
2022-11-05 00:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.304 s -0.833
2022-11-05 00:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.953 s -0.123
2022-11-05 00:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.517
2022-11-05 00:32 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.720 s -0.385
2022-11-05 00:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.719 s 0.466
2022-11-05 00:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.862 s 0.990
2022-11-05 00:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.467 s 0.389
2022-11-05 00:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.932 s -1.251
2022-11-05 00:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.515 s -0.444
2022-11-05 00:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.204 s 0.596
2022-11-05 00:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.235 s 0.626
2022-11-05 00:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.277 s 0.527
2022-11-05 00:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s 0.466
2022-11-05 00:33 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.264 s -0.904
2022-11-05 00:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.324 s 0.735
2022-11-05 00:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.583 s 0.829
2022-11-05 00:25 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s 0.293
2022-11-05 00:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.528
2022-11-05 00:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.609 s 0.223
2022-11-05 00:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.778 s 0.547
2022-11-05 00:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.425 s 0.647
2022-11-05 00:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.298 s 0.587
2022-11-05 00:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 0.633
2022-11-05 00:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.231 s 0.474
2022-11-05 00:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.048 s 0.264
2022-11-05 00:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s 0.445
2022-11-05 00:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.433 s -0.955
2022-11-05 00:20 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.708 s 0.132
2022-11-05 00:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.272 s 2.127
2022-11-05 00:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.563
2022-11-05 00:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.405 s 0.617
2022-11-05 00:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.521 s 0.042
2022-11-05 00:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.259 s 0.606
2022-11-05 00:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s 0.377
2022-11-05 00:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.437 s 0.518
2022-11-05 00:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.562
2022-11-05 00:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.701
2022-11-05 00:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.524 s -0.330
2022-11-05 00:41 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.001 s -0.491
2022-11-05 00:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.637
2022-11-05 00:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.594 s 0.086
2022-11-05 00:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.379 s 0.588
2022-11-05 00:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.583 s 0.136
2022-11-05 00:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.596
2022-11-05 00:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.190 s 0.591
2022-11-05 00:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.249 s 0.188
2022-11-05 00:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.318 s -0.962
2022-11-05 00:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.869 s -0.844
2022-11-05 00:52 JavaScript Iterate Vector int32Array 0.002 s 1.746
2022-11-05 00:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.215 s 0.671
2022-11-05 00:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.303 s 0.513
2022-11-05 00:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.282 s 0.372
2022-11-05 00:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.525 s 0.568
2022-11-05 00:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.536 s 0.257
2022-11-05 00:43 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.965 s 0.010
2022-11-05 00:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.328 s 0.574
2022-11-05 00:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.893 s 0.326
2022-11-05 00:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.503
2022-11-05 00:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.920 s -1.112
2022-11-05 00:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.313 s -0.530
2022-11-05 00:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.191 s 0.551
2022-11-05 00:39 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.122 s 0.312
2022-11-05 00:52 JavaScript vectorFromArray numbers 0.016 s 0.311
2022-11-05 00:53 JavaScript toArray Vector uint64Array
2022-11-05 00:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.416 s 0.217
2022-11-05 00:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.647
2022-11-05 00:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.200 s 0.375
2022-11-05 00:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.236 s 0.649
2022-11-05 00:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.430 s -0.896
2022-11-05 00:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s 0.399
2022-11-05 00:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.909 s 0.014
2022-11-05 00:53 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.335
2022-11-05 00:53 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.381
2022-11-05 00:36 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.095 s -0.577
2022-11-05 00:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.524
2022-11-05 00:52 JavaScript Spread Vector uint8Array 0.007 s -0.667
2022-11-05 00:52 JavaScript Spread Vector uint32Array 0.007 s -0.486
2022-11-05 00:53 JavaScript toArray Vector uint8Array
2022-11-05 00:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.290 s 0.556
2022-11-05 00:52 JavaScript Iterate Vector uint16Array 0.002 s 1.333
2022-11-05 00:52 JavaScript Iterate Vector uint64Array 0.004 s 0.327
2022-11-05 00:52 JavaScript Iterate Vector booleans 0.004 s -0.348
2022-11-05 00:53 JavaScript toArray Vector uint16Array
2022-11-05 00:53 JavaScript toArray Vector int16Array
2022-11-05 00:53 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-05 00:53 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.700
2022-11-05 00:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.442 s 0.758
2022-11-05 00:53 JavaScript get Vector uint16Array 0.003 s 0.147
2022-11-05 00:53 JavaScript Table tracks, 1,000,000 0.095 s -0.323
2022-11-05 00:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s 0.477
2022-11-05 00:52 JavaScript Iterate Vector dictionary 0.004 s 0.538
2022-11-05 00:53 JavaScript get Vector int8Array 0.003 s 0.592
2022-11-05 00:53 JavaScript get Vector int32Array 0.003 s 0.206
2022-11-05 00:52 JavaScript Spread Vector int8Array 0.007 s -0.763
2022-11-05 00:53 JavaScript toArray Vector uint32Array
2022-11-05 00:53 JavaScript get Vector uint8Array 0.003 s 0.093
2022-11-05 00:53 JavaScript get Vector uint32Array 0.003 s -0.235
2022-11-05 00:53 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.134
2022-11-05 00:53 JavaScript get Vector booleans 0.002 s -3.541
2022-11-05 00:53 JavaScript get Vector string 0.127 s -1.780
2022-11-05 00:53 JavaScript Parse write recordBatches, tracks 0.002 s -0.042
2022-11-05 00:53 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.599
2022-11-05 00:53 JavaScript Table tracks, 1,000,000 0.249 s 1.131
2022-11-05 00:52 JavaScript vectorFromArray booleans 0.017 s 1.777
2022-11-05 00:52 JavaScript Iterate Vector uint8Array 0.002 s -0.211
2022-11-05 00:52 JavaScript Iterate Vector uint32Array 0.002 s 0.412
2022-11-05 00:52 JavaScript Iterate Vector int8Array 0.002 s -0.285
2022-11-05 00:52 JavaScript Iterate Vector float32Array 0.002 s -1.393
2022-11-05 00:52 JavaScript Spread Vector int32Array 0.007 s -0.682
2022-11-05 00:52 JavaScript Spread Vector float32Array 0.008 s -0.417
2022-11-05 00:52 JavaScript Spread Vector numbers 0.008 s -1.217
2022-11-05 00:53 JavaScript Spread Vector dictionary 0.010 s 0.260
2022-11-05 00:53 JavaScript toArray Vector int8Array
2022-11-05 00:53 JavaScript get Vector int16Array 0.003 s -0.812
2022-11-05 00:53 JavaScript get Vector int64Array 0.003 s 1.218
2022-11-05 00:53 JavaScript get Vector float64Array 0.002 s -0.014
2022-11-05 00:53 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.001 s -2.416
2022-11-05 00:53 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.082
2022-11-05 00:53 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.527
2022-11-05 00:52 JavaScript vectorFromArray dictionary 0.017 s -0.197
2022-11-05 00:52 JavaScript Iterate Vector float64Array 0.002 s -1.181
2022-11-05 00:52 JavaScript Iterate Vector string 0.126 s 0.197
2022-11-05 00:52 JavaScript Spread Vector uint16Array 0.007 s -0.352
2022-11-05 00:52 JavaScript Spread Vector uint64Array 0.012 s 0.719
2022-11-05 00:52 JavaScript Spread Vector int16Array 0.007 s -0.315
2022-11-05 00:52 JavaScript Iterate Vector int16Array 0.002 s 1.562
2022-11-05 00:52 JavaScript Iterate Vector int64Array 0.004 s 0.179
2022-11-05 00:52 JavaScript Iterate Vector numbers 0.002 s -0.850
2022-11-05 00:52 JavaScript Spread Vector int64Array 0.012 s 1.021
2022-11-05 00:52 JavaScript Spread Vector float64Array 0.008 s -1.615
2022-11-05 00:53 JavaScript Spread Vector booleans 0.010 s -3.048
2022-11-05 00:53 JavaScript Spread Vector string 0.145 s 0.560
2022-11-05 00:53 JavaScript toArray Vector booleans 0.010 s -3.544
2022-11-05 00:53 JavaScript toArray Vector string 0.146 s -0.341
2022-11-05 00:53 JavaScript toArray Vector int32Array
2022-11-05 00:53 JavaScript toArray Vector float32Array
2022-11-05 00:53 JavaScript toArray Vector dictionary 0.010 s -0.272
2022-11-05 00:53 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.513
2022-11-05 00:53 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-05 00:53 JavaScript Table 1,000,000, tracks 0.307 s -1.672
2022-11-05 00:53 JavaScript toArray Vector int64Array
2022-11-05 00:53 JavaScript toArray Vector float64Array
2022-11-05 00:53 JavaScript get Vector uint64Array 0.003 s 1.227
2022-11-05 00:53 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.697
2022-11-05 00:53 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.509
2022-11-05 00:53 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.671
2022-11-05 00:53 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-05 00:53 JavaScript toArray Vector numbers
2022-11-05 00:53 JavaScript get Vector float32Array 0.002 s 0.130
2022-11-05 00:53 JavaScript get Vector numbers 0.002 s 0.123
2022-11-05 00:53 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.280
2022-11-05 00:53 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 1.090
2022-11-05 00:53 JavaScript get Vector dictionary 0.002 s 1.182
2022-11-05 00:53 JavaScript Parse read recordBatches, tracks 0.000 s -0.322
2022-11-05 00:53 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.581
2022-11-05 00:53 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.527
2022-11-05 00:53 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.093
2022-11-05 00:53 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.624
2022-11-05 00:53 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.309
2022-11-05 00:53 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-05 00:53 JavaScript Table tracks, 1,000,000 0.050 s 1.094