Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-16 10:31 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.678 s 0.352
2022-11-16 10:41 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 93.918 s -1.179
2022-11-16 10:36 Python dataframe-to-table type_nested 2.906 s -1.497
2022-11-16 10:36 Python dataframe-to-table type_strings 0.448 s -0.117
2022-11-16 10:36 Python dataframe-to-table type_integers 0.010 s 1.684
2022-11-16 10:31 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.247 s 0.144
2022-11-16 10:36 Python dataframe-to-table chi_traffic_2020_Q1 20.553 s -1.737
2022-11-16 10:33 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.882 s 0.440
2022-11-16 10:32 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.079 s 0.891
2022-11-16 10:33 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.415 s 1.743
2022-11-16 10:32 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.985 s 1.068
2022-11-16 10:34 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.855 s 0.294
2022-11-16 10:46 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 93.004 s -2.654
2022-11-16 10:36 Python dataframe-to-table type_dict 0.011 s 1.647
2022-11-16 10:36 Python dataframe-to-table type_floats 0.010 s 0.499
2022-11-16 10:33 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.129 s 0.037
2022-11-16 10:36 Python dataset-filter nyctaxi_2010-01 1.008 s -0.060
2022-11-16 11:00 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.054 s 0.097
2022-11-16 11:02 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.985 s -1.340
2022-11-16 11:01 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.190 s 0.791
2022-11-16 11:01 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.508 s -0.336
2022-11-16 11:02 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.916 s 0.226
2022-11-16 11:00 Python dataset-read async=True, nyctaxi_multi_ipc_s3 274.299 s -3.397
2022-11-16 11:02 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.206 s 4.554
2022-11-16 11:02 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.926 s 1.602
2022-11-16 11:00 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.054 s 0.114
2022-11-16 11:02 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.635 s 4.332
2022-11-16 11:01 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.626 s -0.494
2022-11-16 11:00 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.219 s 0.089
2022-11-16 11:02 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.932 s -0.781
2022-11-16 11:00 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.690 s -0.217
2022-11-16 11:01 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.506 s -0.063
2022-11-16 11:03 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.056 s 0.289
2022-11-16 11:01 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.123 s 0.382
2022-11-16 11:02 Python file-read lz4, feather, table, fanniemae_2016Q4 0.830 s -0.643
2022-11-16 11:00 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.284 s -0.084
2022-11-16 11:00 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.298 s 0.038
2022-11-16 11:01 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.166 s -0.636
2022-11-16 11:00 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.185 s 0.137
2022-11-16 11:01 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.335 s -0.842
2022-11-16 11:03 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.327 s 2.355
2022-11-16 11:02 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.546 s 5.052
2022-11-16 11:03 Python file-read lz4, feather, table, nyctaxi_2010-01 0.690 s -0.415
2022-11-16 11:01 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.651 s -0.790
2022-11-16 11:02 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.954 s 0.486
2022-11-16 11:04 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.562 s 0.323
2022-11-16 11:05 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.371 s 0.375
2022-11-16 11:06 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.904 s 0.226
2022-11-16 11:06 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.038 s -0.150
2022-11-16 11:07 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.741 s 0.201
2022-11-16 11:08 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.763 s 0.073
2022-11-16 11:07 Python file-write lz4, feather, table, fanniemae_2016Q4 1.558 s -0.074
2022-11-16 11:08 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.593 s 0.860
2022-11-16 11:08 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.116 s 0.551
2022-11-16 11:09 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.519 s 0.943
2022-11-16 11:10 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.797 s 0.690
2022-11-16 11:09 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.388 s 0.765
2022-11-16 11:10 Python wide-dataframe use_legacy_dataset=true 0.427 s -3.585
2022-11-16 11:09 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.023 s 0.740
2022-11-16 11:10 Python wide-dataframe use_legacy_dataset=false 0.508 s 0.635
2022-11-16 11:09 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.979 s -0.120
2022-11-16 11:10 Python file-write lz4, feather, table, nyctaxi_2010-01 1.554 s 1.431
2022-11-16 11:22 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s -0.511
2022-11-16 11:20 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.324 s -0.810
2022-11-16 11:20 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.611 s -1.965
2022-11-16 11:20 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.246
2022-11-16 11:18 R dataframe-to-table type_strings, R 0.537 s 0.694
2022-11-16 11:19 R dataframe-to-table type_integers, R 0.010 s 0.283
2022-11-16 11:19 R dataframe-to-table type_nested, R 0.572 s 0.917
2022-11-16 11:41 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.344 s -0.030
2022-11-16 11:21 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.219 s -2.514
2022-11-16 11:24 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.108 s 0.405
2022-11-16 11:20 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -0.979
2022-11-16 11:21 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.898 s -0.207
2022-11-16 11:21 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.901 s -0.875
2022-11-16 11:21 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.556 s -0.712
2022-11-16 11:34 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.730 s 0.772
2022-11-16 11:20 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.565 s 0.951
2022-11-16 11:29 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.965 s -0.503
2022-11-16 11:42 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s -0.751
2022-11-16 11:19 R dataframe-to-table type_dict, R 0.032 s 2.860
2022-11-16 11:19 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.332 s -0.799
2022-11-16 11:30 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.490 s 0.860
2022-11-16 11:19 R dataframe-to-table type_floats, R 0.013 s 1.055
2022-11-16 11:33 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.955 s 0.438
2022-11-16 11:40 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s -0.424
2022-11-16 11:44 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.510 s -0.246
2022-11-16 11:18 R dataframe-to-table chi_traffic_2020_Q1, R 4.346 s -0.396
2022-11-16 11:28 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.953 s 0.070
2022-11-16 11:39 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.242 s 1.278
2022-11-16 11:41 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.276 s -0.022
2022-11-16 11:42 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s -0.338
2022-11-16 11:42 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.651 s 0.711
2022-11-16 11:19 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.582 s -0.680
2022-11-16 11:41 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.329 s 0.098
2022-11-16 11:42 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.319
2022-11-16 11:44 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.988
2022-11-16 11:20 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.872 s -3.050
2022-11-16 11:21 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.557 s -1.319
2022-11-16 11:40 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.237 s -1.094
2022-11-16 11:40 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s -0.325
2022-11-16 11:21 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.819 s 0.459
2022-11-16 11:25 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.915 s 0.420
2022-11-16 11:43 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.298 s -0.107
2022-11-16 11:35 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.922 s 0.276
2022-11-16 11:37 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.328 s -1.437
2022-11-16 11:39 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.229 s -1.235
2022-11-16 11:39 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.547 s 0.967
2022-11-16 11:39 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.140
2022-11-16 11:41 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.001 s 0.569
2022-11-16 11:22 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.901 s 0.809
2022-11-16 11:23 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.485 s 0.484
2022-11-16 11:43 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s -0.285
2022-11-16 11:27 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.557 s 0.411
2022-11-16 11:39 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.584 s 0.101
2022-11-16 11:42 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.276
2022-11-16 11:31 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.381 s 0.671
2022-11-16 11:36 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.305 s 0.859
2022-11-16 11:43 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.583 s -0.051
2022-11-16 11:32 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.996 s 0.871
2022-11-16 11:39 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.586 s -1.449
2022-11-16 11:38 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.464 s 1.660
2022-11-16 11:40 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.279 s -0.968
2022-11-16 11:41 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.704 s -0.022
2022-11-16 11:42 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s -0.138
2022-11-16 11:40 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.272 s -0.502
2022-11-16 11:41 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.286 s -0.017
2022-11-16 11:42 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.046 s 0.088
2022-11-16 11:43 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.906 s 0.634
2022-11-16 11:44 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.194 s 0.004
2022-11-16 11:44 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 1.514
2022-11-16 11:46 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.314 s 0.160
2022-11-16 11:44 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.236 s 1.317
2022-11-16 11:44 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.262 s 0.800
2022-11-16 11:45 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.031
2022-11-16 11:45 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.896 s 0.763
2022-11-16 11:45 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.173 s -0.098
2022-11-16 11:45 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.451
2022-11-16 11:45 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s -0.681
2022-11-16 11:46 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s 0.679
2022-11-16 11:49 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s -0.452
2022-11-16 11:49 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.657 s -0.679
2022-11-16 11:52 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.752 s -0.504
2022-11-16 11:46 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s -0.709
2022-11-16 11:47 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.159 s -0.423
2022-11-16 11:46 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.636 s -0.060
2022-11-16 11:47 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.626 s 1.279
2022-11-16 11:47 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s -0.681
2022-11-16 11:47 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.707 s -0.115
2022-11-16 11:49 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.339 s 0.613
2022-11-16 11:56 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.226 s 0.077
2022-11-16 12:04 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.236 s -1.019
2022-11-16 12:07 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.402 s 0.981
2022-11-16 11:47 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s -0.581
2022-11-16 11:47 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.239 s -5.012
2022-11-16 11:53 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.766 s -0.209
2022-11-16 11:57 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.254 s -2.678
2022-11-16 11:48 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.175 s -0.094
2022-11-16 11:51 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.419 s 0.085
2022-11-16 11:54 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.649 s -0.185
2022-11-16 11:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.411 s -0.728
2022-11-16 12:04 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.219 s -1.129
2022-11-16 11:48 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.508 s -0.709
2022-11-16 12:01 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.326 s -1.654
2022-11-16 11:59 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.582 s 1.352
2022-11-16 12:05 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.038 s 0.570
2022-11-16 11:52 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.292 s 0.365
2022-11-16 11:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.499
2022-11-16 11:48 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.635
2022-11-16 11:50 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.326 s 0.272
2022-11-16 11:55 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.895 s 0.388
2022-11-16 11:55 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.206 s 0.005
2022-11-16 11:56 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s -0.429
2022-11-16 12:04 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s -0.963
2022-11-16 12:04 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.522 s 0.430
2022-11-16 11:50 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.762 s 1.358
2022-11-16 11:53 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.438 s -0.138
2022-11-16 11:53 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.960 s -2.059
2022-11-16 11:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s 0.501
2022-11-16 11:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s -1.768
2022-11-16 11:54 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.144 s -0.656
2022-11-16 11:56 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.378
2022-11-16 11:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.821 s 0.495
2022-11-16 12:02 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.755 s -0.204
2022-11-16 11:48 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.290 s -0.564
2022-11-16 11:52 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.319 s -0.647
2022-11-16 12:07 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s 0.046
2022-11-16 12:07 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.536 s 0.103
2022-11-16 12:08 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.208 s 0.556
2022-11-16 11:49 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.283 s -0.196
2022-11-16 11:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s -0.103
2022-11-16 12:04 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.194 s -1.794
2022-11-16 11:52 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.368 s -0.835
2022-11-16 11:54 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.333 s -0.885
2022-11-16 11:57 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.147 s 0.025
2022-11-16 12:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.426 s 0.096
2022-11-16 11:49 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.334 s -0.824
2022-11-16 11:50 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s -0.013
2022-11-16 11:51 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s -0.654
2022-11-16 11:55 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.719 s 0.003
2022-11-16 11:55 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.258 s -1.038
2022-11-16 11:49 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.285 s -0.308
2022-11-16 11:51 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.361 s 0.675
2022-11-16 12:09 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.266 s -0.828
2022-11-16 12:12 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.599 s 1.323
2022-11-16 11:50 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.603 s -0.215
2022-11-16 11:56 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.525 s 0.421
2022-11-16 12:02 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.247 s -0.970
2022-11-16 12:05 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.213 s -0.715
2022-11-16 11:50 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.688
2022-11-16 11:52 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.653
2022-11-16 11:57 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.205 s -1.888
2022-11-16 11:58 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.532 s -1.769
2022-11-16 12:00 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.276 s 1.677
2022-11-16 12:00 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.289 s 1.534
2022-11-16 12:01 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.929 s -0.806
2022-11-16 12:02 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.280 s -1.073
2022-11-16 12:03 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.235 s -0.082
2022-11-16 12:05 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.322 s -2.864
2022-11-16 11:51 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.605 s 0.777
2022-11-16 11:59 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.179 s 0.167
2022-11-16 12:02 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.202 s -0.267
2022-11-16 12:03 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.583 s -0.723
2022-11-16 11:54 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s -0.329
2022-11-16 11:57 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.861 s 0.068
2022-11-16 12:13 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.783 s -0.590
2022-11-16 12:14 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.113 s 0.388
2022-11-16 11:56 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.871 s -1.098
2022-11-16 12:07 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.433
2022-11-16 12:11 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.119 s -1.393
2022-11-16 12:12 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.981 s -2.474
2022-11-16 12:13 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.440 s -0.312
2022-11-16 12:18 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.471
2022-11-16 11:57 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.468 s -0.252
2022-11-16 11:59 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.325 s -0.219
2022-11-16 12:02 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.205 s -0.278
2022-11-16 11:58 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.141 s 0.688
2022-11-16 12:00 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.257 s -1.635
2022-11-16 12:04 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.325 s 0.018
2022-11-16 12:11 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.255 s 1.110
2022-11-16 12:11 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.739
2022-11-16 12:27 JavaScript Spread Vector float32Array 0.008 s 0.239
2022-11-16 12:28 JavaScript Spread Vector dictionary 0.010 s 0.592
2022-11-16 11:57 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.298 s -1.823
2022-11-16 12:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.231 s -0.274
2022-11-16 12:03 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.590 s -0.373
2022-11-16 12:05 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.255 s -0.476
2022-11-16 12:06 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.967 s -0.590
2022-11-16 12:09 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.866 s -0.589
2022-11-16 12:11 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.369 s -0.502
2022-11-16 12:18 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.250
2022-11-16 11:57 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.360 s -2.185
2022-11-16 12:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.518 s -1.040
2022-11-16 12:03 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.593 s 0.517
2022-11-16 12:07 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s -0.252
2022-11-16 12:28 JavaScript Table 1,000,000, tracks 0.269 s 0.102
2022-11-16 12:00 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.206 s -0.722
2022-11-16 12:05 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.216 s -0.185
2022-11-16 12:06 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.314
2022-11-16 12:07 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.769 s -0.634
2022-11-16 12:13 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.383 s -0.353
2022-11-16 12:13 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.919 s -1.102
2022-11-16 12:19 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.305 s -0.228
2022-11-16 12:27 JavaScript Iterate Vector int8Array 0.002 s 0.896
2022-11-16 12:27 JavaScript Iterate Vector int32Array 0.002 s 0.435
2022-11-16 12:04 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.879 s 0.904
2022-11-16 12:13 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.720 s -0.876
2022-11-16 12:18 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.237 s 0.190
2022-11-16 12:28 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.145
2022-11-16 12:28 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.503
2022-11-16 12:28 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -2.152
2022-11-16 12:28 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.807
2022-11-16 12:28 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -2.671
2022-11-16 12:05 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.264 s -0.717
2022-11-16 12:08 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.492 s 0.299
2022-11-16 12:10 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.396 s 1.602
2022-11-16 12:11 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.579
2022-11-16 12:27 JavaScript Iterate Vector booleans 0.004 s -0.116
2022-11-16 12:27 JavaScript Spread Vector uint64Array 0.012 s 0.243
2022-11-16 12:28 JavaScript Table tracks, 1,000,000 0.050 s 0.134
2022-11-16 12:09 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.322 s -1.000
2022-11-16 12:11 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.950 s -0.251
2022-11-16 12:18 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.512 s 1.218
2022-11-16 12:27 JavaScript Spread Vector uint32Array 0.006 s 0.297
2022-11-16 12:27 JavaScript Spread Vector int8Array 0.006 s 0.327
2022-11-16 12:07 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s -0.113
2022-11-16 12:18 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.635
2022-11-16 12:19 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.494
2022-11-16 12:28 JavaScript Table tracks, 1,000,000 0.273 s 0.035
2022-11-16 12:09 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -0.873
2022-11-16 12:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.015 s -0.354
2022-11-16 12:09 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s -0.759
2022-11-16 12:09 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.304 s -0.348
2022-11-16 12:11 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.354
2022-11-16 12:27 JavaScript vectorFromArray booleans 0.018 s -0.280
2022-11-16 12:27 JavaScript Iterate Vector uint8Array 0.002 s 0.698
2022-11-16 12:27 JavaScript Iterate Vector uint32Array 0.002 s 0.324
2022-11-16 12:18 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s 0.026
2022-11-16 12:27 JavaScript Spread Vector uint8Array 0.006 s 0.364
2022-11-16 12:28 JavaScript toArray Vector uint8Array
2022-11-16 12:28 JavaScript toArray Vector uint32Array
2022-11-16 12:19 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.449 s -1.347
2022-11-16 12:28 JavaScript Spread Vector booleans 0.010 s -0.686
2022-11-16 12:28 JavaScript get Vector int64Array 0.003 s -0.124
2022-11-16 12:28 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.481
2022-11-16 12:28 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.001 s -0.906
2022-11-16 12:27 JavaScript vectorFromArray dictionary 0.017 s 0.676
2022-11-16 12:27 JavaScript Iterate Vector uint16Array 0.002 s 0.596
2022-11-16 12:27 JavaScript Iterate Vector float64Array 0.002 s 0.551
2022-11-16 12:27 JavaScript Spread Vector uint16Array 0.006 s 0.060
2022-11-16 12:27 JavaScript Spread Vector float64Array 0.008 s 0.321
2022-11-16 12:27 JavaScript Spread Vector int64Array 0.012 s 0.318
2022-11-16 12:28 JavaScript Spread Vector string 0.144 s 1.182
2022-11-16 12:28 JavaScript toArray Vector uint16Array
2022-11-16 12:28 JavaScript toArray Vector uint64Array
2022-11-16 12:28 JavaScript toArray Vector int64Array
2022-11-16 12:28 JavaScript toArray Vector float64Array
2022-11-16 12:28 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.031
2022-11-16 12:27 JavaScript vectorFromArray numbers 0.016 s -0.002
2022-11-16 12:27 JavaScript Iterate Vector uint64Array 0.004 s 0.518
2022-11-16 12:27 JavaScript Iterate Vector int16Array 0.002 s 0.340
2022-11-16 12:27 JavaScript Iterate Vector int64Array 0.004 s 0.703
2022-11-16 12:27 JavaScript Iterate Vector string 0.126 s 0.049
2022-11-16 12:27 JavaScript Spread Vector int16Array 0.007 s 0.107
2022-11-16 12:27 JavaScript Iterate Vector float32Array 0.002 s 0.248
2022-11-16 12:27 JavaScript Iterate Vector numbers 0.002 s 0.562
2022-11-16 12:27 JavaScript Iterate Vector dictionary 0.004 s 1.227
2022-11-16 12:27 JavaScript Spread Vector numbers 0.008 s 0.396
2022-11-16 12:28 JavaScript get Vector float32Array 0.002 s 0.162
2022-11-16 12:27 JavaScript Spread Vector int32Array 0.006 s 0.285
2022-11-16 12:28 JavaScript toArray Vector int8Array
2022-11-16 12:28 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.416
2022-11-16 12:28 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.731
2022-11-16 12:28 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 12:28 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 12:28 JavaScript toArray Vector int16Array
2022-11-16 12:28 JavaScript toArray Vector int32Array
2022-11-16 12:28 JavaScript toArray Vector float32Array
2022-11-16 12:28 JavaScript toArray Vector numbers
2022-11-16 12:28 JavaScript toArray Vector dictionary 0.010 s 0.467
2022-11-16 12:28 JavaScript get Vector uint32Array 0.003 s -0.711
2022-11-16 12:28 JavaScript get Vector int8Array 0.003 s -0.534
2022-11-16 12:28 JavaScript toArray Vector booleans 0.010 s -0.487
2022-11-16 12:28 JavaScript toArray Vector string 0.145 s 0.443
2022-11-16 12:28 JavaScript get Vector uint16Array 0.003 s -0.137
2022-11-16 12:28 JavaScript get Vector int16Array 0.003 s -0.228
2022-11-16 12:28 JavaScript get Vector booleans 0.002 s 0.322
2022-11-16 12:28 JavaScript Parse write recordBatches, tracks 0.002 s 0.254
2022-11-16 12:28 JavaScript get Vector uint8Array 0.003 s -0.180
2022-11-16 12:28 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.041 s -4.314
2022-11-16 12:28 JavaScript get Vector uint64Array 0.003 s -1.231
2022-11-16 12:28 JavaScript get Vector string 0.125 s -0.230
2022-11-16 12:28 JavaScript get Vector int32Array 0.003 s -0.373
2022-11-16 12:28 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.237
2022-11-16 12:28 JavaScript get Vector float64Array 0.002 s 0.102
2022-11-16 12:28 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.389
2022-11-16 12:28 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.089
2022-11-16 12:28 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -2.760
2022-11-16 12:28 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 12:28 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 12:28 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.194
2022-11-16 12:28 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.477
2022-11-16 12:28 JavaScript get Vector numbers 0.002 s 0.033
2022-11-16 12:28 JavaScript get Vector dictionary 0.002 s -0.378
2022-11-16 12:28 JavaScript Parse read recordBatches, tracks 0.000 s 0.724
2022-11-16 12:28 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.574
2022-11-16 12:28 JavaScript Table tracks, 1,000,000 0.095 s 0.394
2022-11-16 12:28 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.195