Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-13 23:39:37 UTC Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.774 s 0.664
2023-01-13 23:39:45 UTC Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.253 s 0.158
2023-01-13 23:40:28 UTC Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.499 s 0.784
2023-01-13 23:41:37 UTC Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.440 s -0.226
2023-01-13 23:41:10 UTC Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.443 s 0.852
2023-01-13 23:41:42 UTC Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.125 s 0.169
2023-01-13 23:42:18 UTC Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.402 s -0.958
2023-01-13 23:42:53 UTC Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.345 s -0.960
2023-01-13 23:44:40 UTC Python dataframe-to-table chi_traffic_2020_Q1 20.923 s 1.513
2023-01-13 23:44:54 UTC Python dataframe-to-table type_dict 0.011 s 0.526
2023-01-13 23:44:56 UTC Python dataframe-to-table type_floats 0.013 s -11.024
2023-01-13 23:44:55 UTC Python dataframe-to-table type_integers 0.010 s -0.060
2023-01-13 23:44:53 UTC Python dataframe-to-table type_strings 0.432 s -1.355
2023-01-13 23:45:12 UTC Python dataframe-to-table type_nested 2.988 s -0.337
2023-01-13 23:45:18 UTC Python dataset-filter nyctaxi_2010-01 0.990 s 0.425
2023-01-14 00:05:11 UTC Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.267 s 0.349
2023-01-14 00:06:00 UTC Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.193 s 0.231
2023-01-14 00:06:19 UTC Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.760 s -0.454
2023-01-13 23:54:08 UTC Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.551 s 1.192
2023-01-14 00:06:45 UTC Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.383
2023-01-14 00:18:58 UTC Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.280 s 0.957
2023-01-14 00:33:25 UTC Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.603 s 0.381
2023-01-13 23:49:56 UTC Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 91.329 s -1.186
2023-01-14 00:05:35 UTC Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.035 s 0.256
2023-01-14 00:06:04 UTC Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.109 s 0.827
2023-01-14 00:06:11 UTC Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.502
2023-01-14 00:06:13 UTC Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.651
2023-01-14 00:05:03 UTC Python dataset-read async=True, nyctaxi_multi_ipc_s3 217.704 s 0.865
2023-01-14 00:05:22 UTC Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.200 s 0.231
2023-01-14 00:05:50 UTC Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.637 s 0.272
2023-01-14 00:11:11 UTC Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.046
2023-01-14 00:18:54 UTC Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.303 s -0.492
2023-01-14 00:33:08 UTC Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.740 s -0.922
2023-01-14 00:33:17 UTC Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.621 s 0.399
2023-01-14 00:34:36 UTC Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.929 s 0.617
2023-01-14 00:05:17 UTC Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.149 s 0.347
2023-01-14 00:05:55 UTC Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.148 s 0.610
2023-01-14 00:06:38 UTC Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.905 s 0.921
2023-01-14 00:10:53 UTC Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.148 s 0.402
2023-01-14 00:24:00 UTC Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.409 s -0.572
2023-01-14 00:05:27 UTC Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.297 s 0.201
2023-01-14 00:05:43 UTC Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.045 s 0.214
2023-01-14 00:06:09 UTC Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.303 s 1.120
2023-01-14 00:07:32 UTC Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.558 s -0.539
2023-01-14 00:19:03 UTC Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.199
2023-01-14 00:19:30 UTC Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 2.970 s 1.406
2023-01-14 00:19:38 UTC Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.099
2023-01-14 00:33:37 UTC Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.489 s 0.179
2023-01-14 00:34:31 UTC Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.952 s 0.357
2023-01-14 00:06:42 UTC Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.200 s -2.539
2023-01-14 00:10:36 UTC Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 29.993 s 1.246
2023-01-14 00:23:39 UTC Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.155 s 1.147
2023-01-14 00:33:45 UTC Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.306 s 0.375
2023-01-14 00:34:06 UTC Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.614 s 0.420
2023-01-14 00:34:26 UTC Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.213 s 0.777
2023-01-14 00:19:10 UTC Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.870 s -0.682
2023-01-14 00:33:31 UTC Python file-read snappy, parquet, table, fanniemae_2016Q4 1.469 s 0.920
2023-01-14 00:20:33 UTC Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.738 s -0.933
2023-01-14 00:34:40 UTC Python file-read snappy, parquet, table, nyctaxi_2010-01 0.886 s 0.634
2023-01-14 00:19:01 UTC Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.027 s -1.812
2023-01-14 00:19:34 UTC Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.824
2023-01-14 00:24:20 UTC Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.411 s -0.259
2023-01-14 00:34:55 UTC Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.305
2023-01-14 00:34:59 UTC Python file-read lz4, feather, table, nyctaxi_2010-01 0.670 s 0.355
2023-01-14 00:34:11 UTC Python file-read lz4, feather, table, fanniemae_2016Q4 0.809 s 0.437
2023-01-14 00:34:49 UTC Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.929 s 0.342
2023-01-14 00:34:44 UTC Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.895 s 0.489
2023-01-14 00:35:05 UTC Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.319 s 0.442
2023-01-14 00:36:47 UTC Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.861 s 0.733
2023-01-14 00:35:40 UTC Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.392 s 0.338
2023-01-14 00:37:20 UTC Python file-write snappy, parquet, table, fanniemae_2016Q4 10.549 s 0.489
2023-01-14 00:38:42 UTC Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.244 s -0.015
2023-01-14 00:38:21 UTC Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.992 s 0.989
2023-01-14 00:39:30 UTC Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.187 s 0.009
2023-01-14 00:39:38 UTC Python file-write lz4, feather, table, fanniemae_2016Q4 1.837 s 0.033
2023-01-14 00:40:33 UTC Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.745 s 0.093
2023-01-14 00:40:57 UTC Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.233 s 0.049
2023-01-14 00:40:14 UTC Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.884 s 0.361
2023-01-14 00:41:22 UTC Python file-write snappy, parquet, table, nyctaxi_2010-01 7.660 s -0.171
2023-01-14 00:42:01 UTC Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.712 s -0.074
2023-01-14 00:42:23 UTC Python file-write lz4, feather, table, nyctaxi_2010-01 1.786 s 0.003
2023-01-14 00:42:34 UTC Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.183 s 0.035
2023-01-14 00:41:51 UTC Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.129 s 0.054
2023-01-14 00:42:16 UTC Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.098 s 0.015
2023-01-14 00:42:42 UTC Python wide-dataframe use_legacy_dataset=false 0.524 s -0.837
2023-01-14 00:42:39 UTC Python wide-dataframe use_legacy_dataset=true 0.380 s -0.112
2023-01-14 00:51:40 UTC R dataframe-to-table type_integers, R 0.010 s -0.098
2023-01-14 00:51:33 UTC R dataframe-to-table type_dict, R 0.046 s 1.693
2023-01-14 00:51:10 UTC R dataframe-to-table chi_traffic_2020_Q1, R 4.438 s -3.079
2023-01-14 00:51:25 UTC R dataframe-to-table type_strings, R 0.533 s 0.416
2023-01-14 00:52:04 UTC R dataframe-to-table type_nested, R 0.574 s -0.260
2023-01-14 00:51:48 UTC R dataframe-to-table type_floats, R 0.013 s 0.727
2023-01-14 00:52:18 UTC R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.301 s 0.554
2023-01-14 00:52:32 UTC R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.553 s 0.499
2023-01-14 00:52:44 UTC R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.292 s 0.722
2023-01-14 00:52:56 UTC R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.548 s 0.569
2023-01-14 00:53:14 UTC R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.264
2023-01-14 00:53:05 UTC R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.228
2023-01-14 00:53:24 UTC R file-read lz4, feather, table, fanniemae_2016Q4, R 0.589 s 0.337
2023-01-14 00:53:35 UTC R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.844 s 0.272
2023-01-14 00:54:04 UTC R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.532 s 0.673
2023-01-14 00:54:15 UTC R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.882 s 0.641
2023-01-14 00:54:33 UTC R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.815 s 0.322
2023-01-14 00:53:44 UTC R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.528 s 0.570
2023-01-14 00:53:55 UTC R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.879 s 0.482
2023-01-14 00:54:43 UTC R file-read lz4, feather, table, nyctaxi_2010-01, R 0.574 s 0.311
2023-01-14 00:54:23 UTC R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.219 s 0.310
2023-01-14 00:54:53 UTC R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.906 s 0.253
2023-01-14 00:55:50 UTC R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.485 s 0.669
2023-01-14 00:57:43 UTC R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.453 s 0.660
2023-01-14 01:00:32 UTC R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.901 s 0.714
2023-01-14 00:58:38 UTC R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.900 s 0.688
2023-01-14 01:01:08 UTC R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.963 s -0.616
2023-01-14 01:02:39 UTC R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.032 s 0.078
2023-01-14 01:03:10 UTC R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.307
2023-01-14 01:04:35 UTC R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.472 s 0.479
2023-01-14 01:05:30 UTC R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.880 s -0.118
2023-01-14 01:06:36 UTC R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.706 s -0.207
2023-01-14 01:07:36 UTC R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.605 s -0.026
2023-01-14 01:08:48 UTC R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.653 s -0.016
2023-01-14 01:09:33 UTC R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.312 s -0.633
2023-01-14 01:10:29 UTC R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.180 s -0.627
2023-01-14 01:11:14 UTC R file-write lz4, feather, table, nyctaxi_2010-01, R 1.472 s -0.689
2023-01-14 01:12:20 UTC R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.570 s -0.537
2023-01-14 01:12:39 UTC R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.254 s -0.359
2023-01-14 01:12:09 UTC R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.115 s -2.453
2023-01-14 01:12:48 UTC R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.590 s 0.726
2023-01-14 01:12:58 UTC R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.195
2023-01-14 01:12:32 UTC R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.537 s 0.832
2023-01-14 01:13:15 UTC R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.204
2023-01-14 01:13:33 UTC R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.042
2023-01-14 01:13:07 UTC R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.213
2023-01-14 01:13:42 UTC R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s -0.118
2023-01-14 01:13:23 UTC R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.280 s 0.172
2023-01-14 01:14:44 UTC R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.142
2023-01-14 01:15:01 UTC R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.347 s 0.230
2023-01-14 01:14:27 UTC R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.678 s 0.567
2023-01-14 01:14:08 UTC R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.000 s 0.541
2023-01-14 01:14:36 UTC R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.279 s 0.075
2023-01-14 01:15:10 UTC R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.185
2023-01-14 01:15:31 UTC R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.646 s 0.613
2023-01-14 01:14:52 UTC R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.136
2023-01-14 01:15:42 UTC R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.041 s 0.147
2023-01-14 01:15:18 UTC R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s 0.258
2023-01-14 01:15:58 UTC R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.185
2023-01-14 01:16:25 UTC R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.297 s 0.437
2023-01-14 01:16:06 UTC R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.176
2023-01-14 01:15:50 UTC R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.141
2023-01-14 01:16:14 UTC R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.177
2023-01-14 01:16:35 UTC R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.584 s 0.060
2023-01-14 01:17:23 UTC R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.474 s 0.151
2023-01-14 01:17:04 UTC R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.887 s 0.913
2023-01-14 01:17:31 UTC R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.199 s 0.221
2023-01-14 01:17:39 UTC R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.231 s 0.274
2023-01-14 01:17:47 UTC R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.150
2023-01-14 01:17:55 UTC R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.240 s 0.285
2023-01-14 01:18:14 UTC R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s 0.374
2023-01-14 01:18:06 UTC R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.268 s 0.386
2023-01-14 01:18:55 UTC R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.162 s 0.565
2023-01-14 01:18:43 UTC R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.906 s 0.472
2023-01-14 01:19:12 UTC R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s 0.270
2023-01-14 01:19:03 UTC R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.259 s 0.289
2023-01-14 01:19:39 UTC R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.315 s 0.491
2023-01-14 01:19:28 UTC R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.350 s 0.235
2023-01-14 01:19:20 UTC R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.171
2023-01-14 01:20:44 UTC R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.148
2023-01-14 01:19:48 UTC R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s 0.044
2023-01-14 01:21:27 UTC R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s 0.190
2023-01-14 01:20:36 UTC R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.644 s 0.311
2023-01-14 01:20:17 UTC R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.631 s 0.149
2023-01-14 01:20:52 UTC R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.235
2023-01-14 01:21:08 UTC R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s 0.339
2023-01-14 01:21:00 UTC R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.231
2023-01-14 01:21:18 UTC R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.274
2023-01-14 01:22:17 UTC R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.244
2023-01-14 01:21:51 UTC R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.349 s 0.402
2023-01-14 01:22:08 UTC R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.253 s -0.211
2023-01-14 01:23:05 UTC R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.657 s 0.164
2023-01-14 01:22:25 UTC R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.338 s 0.319
2023-01-14 01:22:43 UTC R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.371 s 0.323
2023-01-14 01:22:53 UTC R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.223
2023-01-14 01:22:34 UTC R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.293 s 0.212
2023-01-14 01:23:35 UTC R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.785 s -0.022
2023-01-14 01:23:54 UTC R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.587 s -0.066
2023-01-14 01:24:03 UTC R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.171
2023-01-14 01:24:12 UTC R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.393 s 0.214
2023-01-14 01:24:20 UTC R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.338 s 0.241
2023-01-14 01:24:29 UTC R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.175
2023-01-14 01:24:49 UTC R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.716 s 0.081
2023-01-14 01:25:54 UTC R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.279
2023-01-14 01:24:39 UTC R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.148
2023-01-14 01:25:18 UTC R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.613 s 0.195
2023-01-14 01:25:38 UTC R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.664 s 0.445
2023-01-14 01:25:46 UTC R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.286
2023-01-14 01:26:23 UTC R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.438 s 0.288
2023-01-14 01:26:03 UTC R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.297 s 0.185
2023-01-14 01:26:12 UTC R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.234
2023-01-14 01:26:35 UTC R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.797 s -0.484
2023-01-14 01:27:06 UTC R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.946 s 0.685
2023-01-14 01:27:44 UTC R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.299 s 0.264
2023-01-14 01:28:01 UTC R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.208
2023-01-14 01:27:27 UTC R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.094 s 0.025
2023-01-14 01:30:01 UTC R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.530 s 0.304
2023-01-14 01:27:36 UTC R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.196
2023-01-14 01:28:11 UTC R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.093
2023-01-14 01:29:35 UTC R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.229 s 0.255
2023-01-14 01:29:52 UTC R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.327 s 0.313
2023-01-14 01:29:27 UTC R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.259 s 0.239
2023-01-14 01:29:43 UTC R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.302 s 0.262
2023-01-14 01:30:39 UTC R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.037
2023-01-14 01:27:52 UTC R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.169
2023-01-14 01:31:04 UTC R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.361 s 0.273
2023-01-14 01:33:11 UTC R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.590 s 0.139
2023-01-14 01:36:21 UTC R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.195
2023-01-14 01:36:38 UTC R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.166
2023-01-14 01:37:55 UTC R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.262
2023-01-14 01:38:59 UTC R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.222
2023-01-14 01:40:55 UTC R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.261
2023-01-14 01:28:20 UTC R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.656 s -0.076
2023-01-14 01:29:10 UTC R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.723 s -0.152
2023-01-14 01:30:55 UTC R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.299 s 0.228
2023-01-14 01:32:45 UTC R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.236 s 0.041
2023-01-14 01:33:02 UTC R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.425 s -0.164
2023-01-14 01:30:13 UTC R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.862 s 0.422
2023-01-14 01:34:32 UTC R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.093
2023-01-14 01:35:29 UTC R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.469 s 1.646
2023-01-14 01:28:51 UTC R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.874 s 0.603
2023-01-14 01:32:00 UTC R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.545 s -1.265
2023-01-14 01:34:41 UTC R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.333 s 0.181
2023-01-14 01:36:48 UTC R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.586 s 0.066
2023-01-14 01:39:24 UTC R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.320 s 0.228
2023-01-14 01:40:47 UTC R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.258
2023-01-14 01:29:19 UTC R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.132
2023-01-14 01:31:25 UTC R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.868 s 0.214
2023-01-14 01:32:37 UTC R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.136
2023-01-14 01:32:53 UTC R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.327 s 0.377
2023-01-14 01:36:04 UTC R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.211 s 0.092
2023-01-14 01:37:12 UTC R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.611 s 0.274
2023-01-14 01:30:31 UTC R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.135 s 0.550
2023-01-14 01:30:47 UTC R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s 0.316
2023-01-14 01:31:15 UTC R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.476 s -0.147
2023-01-14 01:34:08 UTC R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.527 s -1.274
2023-01-14 01:33:21 UTC R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.864 s -0.821
2023-01-14 01:35:01 UTC R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.926 s 0.097
2023-01-14 01:36:12 UTC R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.251 s 0.273
2023-01-14 01:37:47 UTC R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.236 s 0.296
2023-01-14 01:38:51 UTC R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.060 s 0.163
2023-01-14 01:39:07 UTC R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.204
2023-01-14 01:39:44 UTC R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.950 s 0.263
2023-01-14 01:43:17 UTC R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.881 s 0.518
2023-01-14 01:32:28 UTC R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.175 s 0.168
2023-01-14 01:34:51 UTC R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.441 s -0.130
2023-01-14 01:38:21 UTC R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.518 s 0.409
2023-01-14 01:40:09 UTC R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.666 s 0.035
2023-01-14 01:42:39 UTC R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.271 s 0.174
2023-01-14 01:42:56 UTC R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s 0.332
2023-01-14 01:45:30 UTC R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.117
2023-01-14 01:33:43 UTC R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.306 s -0.341
2023-01-14 01:39:15 UTC R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.160
2023-01-14 01:41:12 UTC R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.214
2023-01-14 01:43:05 UTC R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.439 s 0.271
2023-01-14 01:45:03 UTC R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s 0.195
2023-01-14 01:47:50 UTC R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.115 s 0.043
2023-01-14 01:52:07 UTC R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.144
2023-01-14 01:34:16 UTC R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.217 s -0.090
2023-01-14 01:37:39 UTC R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.288
2023-01-14 01:39:34 UTC R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.160
2023-01-14 01:40:39 UTC R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.798 s -0.116
2023-01-14 01:42:47 UTC R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.325 s 0.240
2023-01-14 01:45:20 UTC R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.370 s 0.226
2023-01-14 01:46:08 UTC R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.601 s 0.280
2023-01-14 01:46:44 UTC R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.394 s 0.048
2023-01-14 01:34:24 UTC R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.266 s 0.155
2023-01-14 01:35:56 UTC R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.814 s -0.115
2023-01-14 01:36:29 UTC R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.284 s 0.216
2023-01-14 01:37:31 UTC R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.559 s -0.084
2023-01-14 01:38:04 UTC R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.282 s 0.326
2023-01-14 01:41:04 UTC R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.256
2023-01-14 01:38:12 UTC R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.324 s 0.259
2023-01-14 01:38:34 UTC R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.871 s 0.761
2023-01-14 01:42:31 UTC R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.197 s 0.793
2023-01-14 01:44:46 UTC R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.268 s -0.455
2023-01-14 01:52:31 UTC R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.259 s 0.246
2023-01-14 01:41:32 UTC R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.541 s -0.246
2023-01-14 01:43:28 UTC R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.324 s 0.002
2023-01-14 01:45:40 UTC R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.955 s 0.240
2023-01-14 01:46:35 UTC R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.070 s -0.371
2023-01-14 01:52:15 UTC R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.240 s 0.230
2023-01-14 01:52:39 UTC R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.251
2023-01-14 01:53:00 UTC R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.307 s 0.221
2023-01-14 01:41:22 UTC R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.401 s 0.404
2023-01-14 01:42:09 UTC R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.439 s 0.551
2023-01-14 01:44:09 UTC R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.606 s 0.290
2023-01-14 01:46:53 UTC R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.450 s -0.015
2023-01-14 01:47:03 UTC R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.729 s -0.279
2023-01-14 01:44:54 UTC R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.117
2023-01-14 01:45:11 UTC R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.097
2023-01-14 01:47:13 UTC R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.796 s -0.215
2023-01-14 01:47:33 UTC R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.862 s 0.595
2023-01-14 01:51:58 UTC R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.230 s 1.558
2023-01-14 01:50:09 UTC R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.728 s 0.743
2023-01-14 01:52:23 UTC R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.202 s 0.264
2023-01-14 01:52:48 UTC R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.450 s 0.195
2023-01-14 01:53:15 UTC R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.301 s 0.063
2023-01-14 02:01:41 UTC JavaScript Iterate Vector float32Array 0.002 s -0.684
2023-01-14 02:01:39 UTC JavaScript Iterate Vector uint16Array 0.002 s 0.080
2023-01-14 02:01:46 UTC JavaScript toArray Vector float64Array
2023-01-14 02:01:47 UTC JavaScript get Vector uint64Array 0.003 s 0.294
2023-01-14 02:01:41 UTC JavaScript Iterate Vector dictionary 0.004 s 0.429
2023-01-14 02:01:42 UTC JavaScript Iterate Vector string 0.126 s -0.107
2023-01-14 02:01:40 UTC JavaScript Iterate Vector int8Array 0.002 s -1.453
2023-01-14 02:01:43 UTC JavaScript Spread Vector int32Array 0.006 s 0.556
2023-01-14 02:01:43 UTC JavaScript Spread Vector int16Array 0.006 s 0.420
2023-01-14 02:01:45 UTC JavaScript toArray Vector uint16Array
2023-01-14 02:01:45 UTC JavaScript toArray Vector uint64Array
2023-01-14 02:01:44 UTC JavaScript Spread Vector float64Array 0.008 s 0.086
2023-01-14 02:01:46 UTC JavaScript toArray Vector string 0.145 s 0.178
2023-01-14 02:01:47 UTC JavaScript get Vector uint16Array 0.003 s 0.142
2023-01-14 02:01:38 UTC JavaScript vectorFromArray numbers 0.016 s 0.402
2023-01-14 02:01:39 UTC JavaScript vectorFromArray dictionary 0.017 s 0.557
2023-01-14 02:01:40 UTC JavaScript Iterate Vector uint64Array 0.004 s 0.145
2023-01-14 02:01:40 UTC JavaScript Iterate Vector int16Array 0.002 s -0.082
2023-01-14 02:01:40 UTC JavaScript Iterate Vector int64Array 0.004 s 0.170
2023-01-14 02:01:39 UTC JavaScript vectorFromArray booleans 0.018 s -0.725
2023-01-14 02:01:39 UTC JavaScript Iterate Vector uint32Array 0.002 s 0.046
2023-01-14 02:01:45 UTC JavaScript toArray Vector int8Array
2023-01-14 02:01:47 UTC JavaScript get Vector int8Array 0.003 s 0.140
2023-01-14 02:01:48 UTC JavaScript get Vector numbers 0.002 s 0.419
2023-01-14 02:01:39 UTC JavaScript Iterate Vector uint8Array 0.002 s -0.624
2023-01-14 02:01:40 UTC JavaScript Iterate Vector int32Array 0.002 s -0.681
2023-01-14 02:01:41 UTC JavaScript Iterate Vector numbers 0.002 s -0.846
2023-01-14 02:01:45 UTC JavaScript toArray Vector uint32Array
2023-01-14 02:01:46 UTC JavaScript toArray Vector int32Array
2023-01-14 02:01:41 UTC JavaScript Iterate Vector float64Array 0.002 s -0.792
2023-01-14 02:01:41 UTC JavaScript Iterate Vector booleans 0.004 s -0.014
2023-01-14 02:01:43 UTC JavaScript Spread Vector int64Array 0.012 s 0.514
2023-01-14 02:01:46 UTC JavaScript toArray Vector booleans 0.010 s 1.074
2023-01-14 02:01:49 UTC JavaScript get Vector string 0.125 s -0.452
2023-01-14 02:01:50 UTC JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.613
2023-01-14 02:01:42 UTC JavaScript Spread Vector uint8Array 0.006 s 0.217
2023-01-14 02:01:42 UTC JavaScript Spread Vector uint32Array 0.007 s -0.285
2023-01-14 02:01:43 UTC JavaScript Spread Vector int8Array 0.006 s 0.767
2023-01-14 02:01:42 UTC JavaScript Spread Vector uint16Array 0.006 s 0.558
2023-01-14 02:01:42 UTC JavaScript Spread Vector uint64Array 0.012 s 0.854
2023-01-14 02:01:44 UTC JavaScript Spread Vector booleans 0.010 s 1.715
2023-01-14 02:01:44 UTC JavaScript Spread Vector string 0.145 s 0.519
2023-01-14 02:01:45 UTC JavaScript toArray Vector int16Array
2023-01-14 02:01:46 UTC JavaScript toArray Vector int64Array
2023-01-14 02:01:50 UTC JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.230
2023-01-14 02:01:43 UTC JavaScript Spread Vector float32Array 0.008 s -0.252
2023-01-14 02:01:44 UTC JavaScript Spread Vector numbers 0.008 s 0.048
2023-01-14 02:01:44 UTC JavaScript Spread Vector dictionary 0.010 s 1.632
2023-01-14 02:01:44 UTC JavaScript toArray Vector uint8Array
2023-01-14 02:01:46 UTC JavaScript toArray Vector numbers
2023-01-14 02:01:46 UTC JavaScript toArray Vector dictionary 0.010 s 1.767
2023-01-14 02:01:53 UTC JavaScript Table 1,000,000, tracks 0.272 s 0.061
2023-01-14 02:01:46 UTC JavaScript toArray Vector float32Array
2023-01-14 02:01:47 UTC JavaScript get Vector uint8Array 0.003 s 0.166
2023-01-14 02:01:47 UTC JavaScript get Vector uint32Array 0.003 s 0.248
2023-01-14 02:01:48 UTC JavaScript get Vector float32Array 0.002 s -2.103
2023-01-14 02:01:51 UTC JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.293
2023-01-14 02:01:47 UTC JavaScript get Vector int16Array 0.003 s 0.122
2023-01-14 02:01:53 UTC JavaScript Table tracks, 1,000,000 0.095 s 0.432
2023-01-14 02:01:48 UTC JavaScript get Vector int32Array 0.003 s 0.134
2023-01-14 02:01:50 UTC JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.236
2023-01-14 02:01:52 UTC JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.722
2023-01-14 02:01:52 UTC JavaScript Table tracks, 1,000,000 0.050 s 0.466
2023-01-14 02:01:53 UTC JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.108
2023-01-14 02:01:48 UTC JavaScript get Vector int64Array 0.003 s 0.219
2023-01-14 02:01:49 UTC JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.375
2023-01-14 02:01:48 UTC JavaScript get Vector float64Array 0.002 s 0.203
2023-01-14 02:01:48 UTC JavaScript get Vector booleans 0.002 s -0.758
2023-01-14 02:01:49 UTC JavaScript Parse write recordBatches, tracks 0.002 s 0.583
2023-01-14 02:01:51 UTC JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.592
2023-01-14 02:01:51 UTC JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.106 s 1.946
2023-01-14 02:01:52 UTC JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 02:01:49 UTC JavaScript get Vector dictionary 0.002 s -0.631
2023-01-14 02:01:49 UTC JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.489
2023-01-14 02:01:50 UTC JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.041 s -7.097
2023-01-14 02:01:50 UTC JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.359
2023-01-14 02:01:51 UTC JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.653
2023-01-14 02:01:51 UTC JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-14 02:01:49 UTC JavaScript Parse read recordBatches, tracks 0.000 s -0.070
2023-01-14 02:01:52 UTC JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.517
2023-01-14 02:01:50 UTC JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.406
2023-01-14 02:01:52 UTC JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.194
2023-01-14 02:01:52 UTC JavaScript Table tracks, 1,000,000 0.270 s -0.002
2023-01-14 02:01:53 UTC JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.298
2023-01-14 02:01:51 UTC JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-14 02:01:52 UTC JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.432
2023-01-14 02:01:51 UTC JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 02:01:53 UTC JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.340