Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-14 10:59 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.796 s -1.076
2023-01-14 11:00 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.239 s 0.261
2023-01-14 11:00 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.517 s 0.567
2023-01-14 11:01 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.372 s 0.916
2023-01-14 11:01 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.442 s -0.564
2023-01-14 11:02 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.121 s 0.215
2023-01-14 11:02 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.447 s -0.883
2023-01-14 11:03 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.290 s -0.667
2023-01-14 11:04 Python dataframe-to-table chi_traffic_2020_Q1 20.984 s 0.941
2023-01-14 11:05 Python dataframe-to-table type_floats 0.010 s 0.151
2023-01-14 11:05 Python dataframe-to-table type_integers 0.010 s -0.379
2023-01-14 11:05 Python dataframe-to-table type_strings 0.424 s 1.497
2023-01-14 11:05 Python dataframe-to-table type_dict 0.011 s -0.246
2023-01-14 11:05 Python dataset-filter nyctaxi_2010-01 1.027 s -0.424
2023-01-14 11:05 Python dataframe-to-table type_nested 2.959 s 0.775
2023-01-14 11:09 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 78.443 s 0.282
2023-01-14 11:13 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 85.498 s -2.076
2023-01-14 11:25 Python dataset-read async=True, nyctaxi_multi_ipc_s3 220.671 s 0.327
2023-01-14 11:25 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.043 s 0.222
2023-01-14 11:26 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 1.057
2023-01-14 11:30 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.299 s -2.662
2023-01-14 11:25 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.197 s 0.254
2023-01-14 11:26 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 0.526
2023-01-14 11:26 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -1.379
2023-01-14 11:25 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.168 s -0.481
2023-01-14 11:26 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.200 s -1.362
2023-01-14 11:25 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.308 s 0.130
2023-01-14 11:26 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.932 s -2.533
2023-01-14 11:39 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -2.516
2023-01-14 11:25 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.191 s 0.050
2023-01-14 11:26 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.140 s -0.327
2023-01-14 11:26 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -2.180
2023-01-14 11:39 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s -0.511
2023-01-14 11:25 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.321 s -0.047
2023-01-14 11:25 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.031 s 0.268
2023-01-14 11:27 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.516 s 0.988
2023-01-14 11:40 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.686 s 0.830
2023-01-14 11:43 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.907 s -2.828
2023-01-14 11:44 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.412 s -0.683
2023-01-14 11:25 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.660 s 0.216
2023-01-14 11:25 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.203 s -0.178
2023-01-14 11:26 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.079
2023-01-14 11:31 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.373
2023-01-14 11:39 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.506
2023-01-14 11:39 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.019
2023-01-14 11:31 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s 0.089
2023-01-14 11:39 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.866 s 0.710
2023-01-14 11:39 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.900 s 0.963
2023-01-14 11:39 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.049 s -2.830
2023-01-14 11:39 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.163
2023-01-14 11:44 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.407 s -0.084
2023-01-14 11:53 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.858 s -3.556
2023-01-14 11:53 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.196 s 0.890
2023-01-14 11:53 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.902 s -3.556
2023-01-14 11:53 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.571 s -2.321
2023-01-14 11:54 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.322 s 0.336
2023-01-14 11:54 Python file-read lz4, feather, table, fanniemae_2016Q4 0.811 s 0.388
2023-01-14 11:53 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.510 s -0.582
2023-01-14 11:54 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.990 s -0.124
2023-01-14 11:54 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.203 s 0.754
2023-01-14 11:55 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.325
2023-01-14 11:54 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.942 s -0.095
2023-01-14 11:54 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.616 s 0.405
2023-01-14 11:55 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.927 s 0.116
2023-01-14 11:54 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.983 s -0.065
2023-01-14 11:56 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.646 s -1.471
2023-01-14 11:55 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.934 s 0.334
2023-01-14 11:55 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.343 s 0.171
2023-01-14 11:55 Python file-read lz4, feather, table, nyctaxi_2010-01 0.670 s 0.355
2023-01-14 11:57 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.262 s -1.450
2023-01-14 11:57 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.901 s -2.241
2023-01-14 11:58 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.422 s -1.523
2023-01-14 11:59 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.399 s -0.189
2023-01-14 11:59 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.303 s -0.091
2023-01-14 12:00 Python file-write lz4, feather, table, fanniemae_2016Q4 1.844 s 0.073
2023-01-14 12:00 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.877 s 0.481
2023-01-14 12:00 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.917 s -1.051
2023-01-14 12:01 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.410 s -1.278
2023-01-14 12:01 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.817 s -1.455
2023-01-14 12:02 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.189 s -0.263
2023-01-14 12:03 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.184 s 0.138
2023-01-14 12:03 Python wide-dataframe use_legacy_dataset=false 0.516 s 0.109
2023-01-14 12:02 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.281 s -1.177
2023-01-14 12:02 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.783 s -0.259
2023-01-14 12:02 Python file-write lz4, feather, table, nyctaxi_2010-01 1.807 s -0.122
2023-01-14 12:03 Python wide-dataframe use_legacy_dataset=true 0.378 s 0.066
2023-01-14 12:15 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.293
2023-01-14 12:13 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.269
2023-01-14 12:14 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.854 s 0.196
2023-01-14 12:15 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.905 s 0.259
2023-01-14 12:11 R dataframe-to-table chi_traffic_2020_Q1, R 4.350 s -1.237
2023-01-14 12:13 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.578 s -0.388
2023-01-14 12:13 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.336 s -0.718
2023-01-14 12:13 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.233
2023-01-14 12:13 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.595 s 0.299
2023-01-14 12:14 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.342
2023-01-14 12:23 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.045 s -0.126
2023-01-14 12:35 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.346 s -4.188
2023-01-14 12:35 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.382 s -1.673
2023-01-14 12:39 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.183 s 0.139
2023-01-14 12:14 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.921 s -0.367
2023-01-14 12:14 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.922 s -0.447
2023-01-14 12:19 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.279 s -2.233
2023-01-14 12:26 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.992 s -1.772
2023-01-14 12:39 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.227
2023-01-14 12:40 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.323 s 0.025
2023-01-14 12:41 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.632 s 0.070
2023-01-14 12:45 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.612 s 0.266
2023-01-14 12:47 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.763 s 0.341
2023-01-14 12:50 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.533 s 0.215
2023-01-14 12:12 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.318 s 0.018
2023-01-14 12:21 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.966 s -1.117
2023-01-14 12:25 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.493 s 0.106
2023-01-14 12:28 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.718 s -1.644
2023-01-14 12:33 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.596 s -0.932
2023-01-14 12:33 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.178
2023-01-14 12:18 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.809 s -1.950
2023-01-14 12:31 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.185 s -0.801
2023-01-14 12:32 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.562 s -0.082
2023-01-14 12:33 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.245
2023-01-14 12:36 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.648 s 0.315
2023-01-14 12:37 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.321 s -0.575
2023-01-14 12:38 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.516 s -0.258
2023-01-14 12:38 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.233 s 0.193
2023-01-14 12:38 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.242 s 0.233
2023-01-14 12:41 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.232 s 0.359
2023-01-14 12:12 R dataframe-to-table type_dict, R 0.047 s 1.356
2023-01-14 12:12 R dataframe-to-table type_floats, R 0.013 s 0.719
2023-01-14 12:21 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.317 s -2.326
2023-01-14 12:30 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.312 s -0.597
2023-01-14 12:33 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.175
2023-01-14 12:14 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.569 s -0.312
2023-01-14 12:14 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.572 s -0.438
2023-01-14 12:16 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.866 s -2.280
2023-01-14 12:32 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.088 s -0.999
2023-01-14 12:33 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.605 s -0.660
2023-01-14 12:34 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.275 s -0.052
2023-01-14 12:36 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.142
2023-01-14 12:36 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.196
2023-01-14 12:38 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.327 s 0.332
2023-01-14 12:11 R dataframe-to-table type_strings, R 0.533 s 0.536
2023-01-14 12:12 R dataframe-to-table type_integers, R 0.010 s 0.082
2023-01-14 12:12 R dataframe-to-table type_nested, R 0.575 s -0.612
2023-01-14 12:13 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.589 s -0.742
2023-01-14 12:15 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.815 s 0.325
2023-01-14 12:27 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.797 s -1.472
2023-01-14 12:34 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.003 s 0.173
2023-01-14 12:36 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s 0.213
2023-01-14 12:39 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s 0.290
2023-01-14 12:40 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.349 s 0.244
2023-01-14 12:40 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.645 s -0.144
2023-01-14 12:41 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.687 s -0.279
2023-01-14 12:42 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s 0.339
2023-01-14 12:44 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.545 s 0.284
2023-01-14 12:47 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.954 s 0.187
2023-01-14 12:50 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.210
2023-01-14 12:29 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.772 s -1.733
2023-01-14 12:33 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.251 s 0.218
2023-01-14 12:34 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.581 s 0.191
2023-01-14 12:35 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.279 s 0.115
2023-01-14 12:36 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.034 s 0.472
2023-01-14 12:37 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.902 s -0.106
2023-01-14 12:38 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.248
2023-01-14 12:41 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.197
2023-01-14 12:48 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.253
2023-01-14 12:50 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s 0.246
2023-01-14 12:23 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.059
2023-01-14 12:33 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.197
2023-01-14 12:35 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.980 s -1.509
2023-01-14 12:38 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.233
2023-01-14 12:43 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.347 s 0.332
2023-01-14 12:45 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.368 s 0.227
2023-01-14 12:46 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.314
2023-01-14 12:49 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s 0.067
2023-01-14 12:49 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.873 s 0.545
2023-01-14 12:31 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.469 s 0.626
2023-01-14 12:35 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.332 s 0.383
2023-01-14 12:36 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.168
2023-01-14 12:38 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.117
2023-01-14 12:40 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.209
2023-01-14 12:41 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.159 s 0.290
2023-01-14 12:42 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.177 s 0.337
2023-01-14 12:42 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.243 s -0.046
2023-01-14 12:43 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.290 s 0.285
2023-01-14 12:44 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.209
2023-01-14 12:45 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.191
2023-01-14 12:35 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.375 s -2.662
2023-01-14 12:37 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.581 s 0.236
2023-01-14 12:41 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.266
2023-01-14 12:46 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.247
2023-01-14 12:51 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.475 s 0.073
2023-01-14 12:55 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.915 s 0.361
2023-01-14 12:59 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.212
2023-01-14 12:37 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s 0.205
2023-01-14 12:39 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.920 s -0.179
2023-01-14 12:43 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.654 s 0.250
2023-01-14 12:46 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.236
2023-01-14 12:48 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.175 s -0.616
2023-01-14 12:48 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.292
2023-01-14 12:49 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.680 s 0.324
2023-01-14 12:49 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.176
2023-01-14 12:50 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.870 s -0.229
2023-01-14 12:51 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.159 s 0.222
2023-01-14 12:57 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s -5.126
2023-01-14 13:00 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.210
2023-01-14 13:01 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.234
2023-01-14 12:42 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.504 s 0.228
2023-01-14 12:43 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.337 s 0.343
2023-01-14 12:47 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.190
2023-01-14 12:48 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.195
2023-01-14 12:51 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.017
2023-01-14 12:52 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.532 s -0.045
2023-01-14 12:55 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.267 s 0.125
2023-01-14 13:02 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.225
2023-01-14 13:03 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.271 s 0.212
2023-01-14 13:07 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.018 s -0.088
2023-01-14 13:07 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s -0.093
2023-01-14 13:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.103
2023-01-14 12:43 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.292 s 0.274
2023-01-14 12:43 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.372 s 0.300
2023-01-14 12:44 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.394 s 0.197
2023-01-14 12:45 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.708 s 0.305
2023-01-14 12:46 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.674 s 0.379
2023-01-14 12:48 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.254 s 0.254
2023-01-14 12:48 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.199
2023-01-14 12:50 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.306 s 0.118
2023-01-14 12:58 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.580 s -0.311
2023-01-14 13:00 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.319 s 0.302
2023-01-14 13:02 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.534 s 0.170
2023-01-14 13:03 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.439 s 0.100
2023-01-14 13:04 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.886 s -0.011
2023-01-14 13:08 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.076 s 2.297
2023-01-14 12:44 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.781 s 0.214
2023-01-14 12:45 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.427 s 0.209
2023-01-14 12:51 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.300 s 0.166
2023-01-14 12:52 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.859 s 0.401
2023-01-14 12:53 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.237 s -0.007
2023-01-14 12:54 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.529 s -1.095
2023-01-14 12:55 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.334 s 0.154
2023-01-14 12:56 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.704 s 0.467
2023-01-14 12:58 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.236 s 0.303
2023-01-14 12:59 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.036 s 0.377
2023-01-14 13:00 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.968 s -0.066
2023-01-14 12:46 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.263
2023-01-14 12:50 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.225
2023-01-14 12:51 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s 0.289
2023-01-14 12:51 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.358 s 0.432
2023-01-14 12:53 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.228 s -0.021
2023-01-14 12:54 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.215 s 0.023
2023-01-14 12:56 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.274
2023-01-14 12:57 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.155
2023-01-14 13:02 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 0.235
2023-01-14 13:02 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.433 s 0.614
2023-01-14 13:03 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.096
2023-01-14 12:53 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.330 s 0.041
2023-01-14 12:54 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.297 s 0.154
2023-01-14 12:55 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.439 s 0.024
2023-01-14 13:00 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.219 s 0.199
2023-01-14 13:01 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.111
2023-01-14 13:01 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.239
2023-01-14 13:03 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.326 s 0.209
2023-01-14 13:07 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.727 s 0.044
2023-01-14 13:22 JavaScript Spread Vector float64Array 0.008 s 0.694
2023-01-14 12:53 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.425 s -0.158
2023-01-14 12:53 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.589 s 0.199
2023-01-14 12:56 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.398 s -4.965
2023-01-14 12:57 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.166
2023-01-14 12:57 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.589 s 0.004
2023-01-14 12:58 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.282 s 0.321
2023-01-14 12:59 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.519 s 0.381
2023-01-14 13:05 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.191
2023-01-14 13:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.256 s 0.179
2023-01-14 13:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.286 s 0.203
2023-01-14 13:14 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.288 s 0.201
2023-01-14 12:53 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.163
2023-01-14 12:53 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.865 s -0.787
2023-01-14 12:55 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.116
2023-01-14 12:56 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.459 s 1.867
2023-01-14 12:58 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.609 s 0.359
2023-01-14 12:58 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.271
2023-01-14 12:58 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.234
2023-01-14 12:59 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.266
2023-01-14 12:59 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.251
2023-01-14 13:06 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.369 s 0.258
2023-01-14 13:12 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.349 s 0.890
2023-01-14 13:22 JavaScript Spread Vector int16Array 0.006 s 0.465
2023-01-14 12:59 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.884 s 0.082
2023-01-14 13:05 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s 0.210
2023-01-14 13:06 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.974 s -0.148
2023-01-14 13:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.603 s 0.169
2023-01-14 13:08 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.882 s -0.764
2023-01-14 13:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.241 s 0.220
2023-01-14 13:22 JavaScript vectorFromArray dictionary 0.017 s 0.265
2023-01-14 13:22 JavaScript Iterate Vector uint16Array 0.002 s -3.555
2023-01-14 13:01 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.746 s 0.069
2023-01-14 13:04 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.622 s -0.638
2023-01-14 13:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.448 s 0.279
2023-01-14 13:22 JavaScript Iterate Vector int32Array 0.002 s -3.356
2023-01-14 13:22 JavaScript Iterate Vector float32Array 0.002 s -2.897
2023-01-14 13:22 JavaScript Iterate Vector numbers 0.002 s -2.197
2023-01-14 13:01 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.294
2023-01-14 13:08 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.795 s -0.172
2023-01-14 13:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.181
2023-01-14 13:22 JavaScript Iterate Vector uint32Array 0.002 s -2.311
2023-01-14 13:22 JavaScript Iterate Vector int8Array 0.002 s -2.348
2023-01-14 13:22 JavaScript Spread Vector numbers 0.008 s 0.680
2023-01-14 13:03 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.214 s 0.498
2023-01-14 13:04 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.313 s 0.364
2023-01-14 13:05 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.266 s -0.449
2023-01-14 13:07 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.395 s -0.239
2023-01-14 13:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.219
2023-01-14 13:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.087
2023-01-14 13:22 JavaScript vectorFromArray numbers 0.016 s -0.237
2023-01-14 13:22 JavaScript Iterate Vector int64Array 0.004 s 0.135
2023-01-14 13:22 JavaScript Iterate Vector string 0.124 s 1.205
2023-01-14 13:11 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.861 s -0.800
2023-01-14 13:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.212
2023-01-14 13:22 JavaScript Iterate Vector booleans 0.004 s 0.643
2023-01-14 13:22 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.695
2023-01-14 13:22 JavaScript Table tracks, 1,000,000 0.259 s 0.541
2023-01-14 13:22 JavaScript Spread Vector int32Array 0.006 s 0.483
2023-01-14 13:22 JavaScript toArray Vector int8Array
2023-01-14 13:22 JavaScript toArray Vector dictionary 0.010 s -0.074
2023-01-14 13:22 JavaScript get Vector uint8Array 0.003 s 0.145
2023-01-14 13:22 JavaScript get Vector uint32Array 0.003 s 0.256
2023-01-14 13:22 JavaScript vectorFromArray booleans 0.018 s 0.360
2023-01-14 13:22 JavaScript Iterate Vector uint8Array 0.002 s -2.032
2023-01-14 13:22 JavaScript Spread Vector uint8Array 0.006 s 0.470
2023-01-14 13:22 JavaScript toArray Vector uint8Array
2023-01-14 13:22 JavaScript toArray Vector int32Array
2023-01-14 13:22 JavaScript toArray Vector float32Array
2023-01-14 13:22 JavaScript Iterate Vector uint64Array 0.004 s 0.146
2023-01-14 13:22 JavaScript Iterate Vector int16Array 0.002 s -3.402
2023-01-14 13:22 JavaScript Spread Vector int64Array 0.012 s 0.320
2023-01-14 13:22 JavaScript toArray Vector int16Array
2023-01-14 13:22 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.423
2023-01-14 13:22 JavaScript Iterate Vector float64Array 0.002 s -2.281
2023-01-14 13:22 JavaScript get Vector int16Array 0.003 s 0.173
2023-01-14 13:22 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.192 s -2.209
2023-01-14 13:22 JavaScript Iterate Vector dictionary 0.004 s 0.800
2023-01-14 13:22 JavaScript Spread Vector uint32Array 0.007 s 0.398
2023-01-14 13:22 JavaScript Spread Vector int8Array 0.007 s -0.102
2023-01-14 13:22 JavaScript get Vector float32Array 0.002 s -1.141
2023-01-14 13:22 JavaScript get Vector dictionary 0.002 s -0.925
2023-01-14 13:22 JavaScript Spread Vector uint16Array 0.006 s 0.565
2023-01-14 13:22 JavaScript Spread Vector uint64Array 0.012 s 0.545
2023-01-14 13:22 JavaScript toArray Vector uint16Array
2023-01-14 13:22 JavaScript toArray Vector uint64Array
2023-01-14 13:22 JavaScript toArray Vector float64Array
2023-01-14 13:22 JavaScript get Vector uint16Array 0.003 s 0.194
2023-01-14 13:22 JavaScript Spread Vector float32Array 0.008 s 0.268
2023-01-14 13:22 JavaScript get Vector numbers 0.002 s 0.565
2023-01-14 13:22 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.197
2023-01-14 13:22 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.468
2023-01-14 13:22 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.233
2023-01-14 13:22 JavaScript Spread Vector booleans 0.010 s 0.945
2023-01-14 13:22 JavaScript Spread Vector string 0.146 s -0.012
2023-01-14 13:22 JavaScript toArray Vector int64Array
2023-01-14 13:22 JavaScript toArray Vector booleans 0.010 s 0.553
2023-01-14 13:22 JavaScript toArray Vector string 0.145 s 0.227
2023-01-14 13:22 JavaScript get Vector uint64Array 0.003 s 0.324
2023-01-14 13:22 JavaScript get Vector int64Array 0.003 s 0.322
2023-01-14 13:22 JavaScript Spread Vector dictionary 0.010 s 0.323
2023-01-14 13:22 JavaScript toArray Vector uint32Array
2023-01-14 13:22 JavaScript toArray Vector numbers
2023-01-14 13:22 JavaScript get Vector int8Array 0.003 s 0.027
2023-01-14 13:22 JavaScript get Vector int32Array 0.003 s 0.183
2023-01-14 13:22 JavaScript Parse read recordBatches, tracks 0.000 s 0.811
2023-01-14 13:22 JavaScript get Vector float64Array 0.002 s 0.836
2023-01-14 13:22 JavaScript get Vector booleans 0.002 s 0.651
2023-01-14 13:22 JavaScript get Vector string 0.124 s 0.783
2023-01-14 13:22 JavaScript Parse write recordBatches, tracks 0.002 s -0.058
2023-01-14 13:22 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 13:22 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.647
2023-01-14 13:22 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.177
2023-01-14 13:22 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.018
2023-01-14 13:22 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.323
2023-01-14 13:22 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-14 13:22 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 13:22 JavaScript Table tracks, 1,000,000 0.050 s 1.732
2023-01-14 13:22 JavaScript Table 1,000,000, tracks 0.302 s -1.267
2023-01-14 13:22 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.112
2023-01-14 13:22 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.245
2023-01-14 13:22 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.609
2023-01-14 13:22 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.202
2023-01-14 13:22 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -1.305
2023-01-14 13:22 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-14 13:22 JavaScript Table tracks, 1,000,000 0.094 s 1.458
2023-01-14 13:22 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.334
2023-01-14 13:22 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.496
2023-01-14 13:22 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.183 s 1.875
2023-01-14 13:22 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.234