Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-16 04:06 Python dataframe-to-table type_strings 0.448 s -0.135
2022-11-16 04:06 Python dataframe-to-table type_nested 3.054 s -6.204
2022-11-16 04:02 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.168 s 0.679
2022-11-16 04:04 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.904 s 0.403
2022-11-16 04:06 Python dataframe-to-table type_dict 0.011 s 1.400
2022-11-16 04:07 Python dataset-filter nyctaxi_2010-01 1.012 s -0.213
2022-11-16 04:06 Python dataframe-to-table type_floats 0.011 s -0.205
2022-11-16 04:06 Python dataframe-to-table type_integers 0.010 s -0.609
2022-11-16 04:29 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.947 s -1.920
2022-11-16 04:01 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.682 s -0.001
2022-11-16 04:04 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.770 s 0.650
2022-11-16 04:11 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 94.683 s -1.359
2022-11-16 04:29 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.331 s -0.351
2022-11-16 04:30 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.932 s 0.613
2022-11-16 04:36 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.029 s 0.717
2022-11-16 04:27 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.204 s -0.141
2022-11-16 04:06 Python dataframe-to-table chi_traffic_2020_Q1 20.796 s -3.308
2022-11-16 04:28 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.158 s 0.183
2022-11-16 04:29 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.209 s 7.975
2022-11-16 04:32 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.353 s 0.562
2022-11-16 04:03 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.127 s 0.286
2022-11-16 04:28 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.191 s 0.653
2022-11-16 04:30 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.031 s 0.531
2022-11-16 04:32 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.540 s 0.436
2022-11-16 04:29 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.626 s 8.038
2022-11-16 04:30 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.321 s 3.343
2022-11-16 04:27 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.036 s 0.216
2022-11-16 04:28 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.663 s 0.142
2022-11-16 04:03 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.421 s 0.718
2022-11-16 04:28 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.125 s 0.249
2022-11-16 04:28 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.506 s -0.099
2022-11-16 04:28 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.654 s -0.930
2022-11-16 04:01 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.243 s 0.460
2022-11-16 04:02 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.997 s 1.100
2022-11-16 04:16 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.270 s 0.127
2022-11-16 04:27 Python dataset-read async=True, nyctaxi_multi_ipc_s3 227.750 s -0.221
2022-11-16 04:28 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.515 s -0.575
2022-11-16 04:29 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.987 s -1.531
2022-11-16 04:30 Python file-read lz4, feather, table, nyctaxi_2010-01 0.684 s 0.699
2022-11-16 04:29 Python file-read lz4, feather, table, fanniemae_2016Q4 0.828 s -0.459
2022-11-16 04:28 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.054 s 0.098
2022-11-16 04:27 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.225 s -0.020
2022-11-16 04:27 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.184 s 0.454
2022-11-16 04:29 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.982 s -1.128
2022-11-16 04:30 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.546 s 9.527
2022-11-16 04:27 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.298 s 0.034
2022-11-16 04:28 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.636 s -0.848
2022-11-16 04:30 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.913 s 0.341
2022-11-16 04:33 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.843 s 0.453
2022-11-16 04:34 Python file-write lz4, feather, table, fanniemae_2016Q4 1.563 s -0.493
2022-11-16 04:34 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.755 s 0.167
2022-11-16 04:33 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.067 s -0.375
2022-11-16 04:35 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.591 s 0.978
2022-11-16 04:35 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.711 s 0.284
2022-11-16 04:35 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.110 s 0.687
2022-11-16 04:37 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.975 s 0.078
2022-11-16 04:36 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.531 s 0.657
2022-11-16 04:37 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.447 s -0.084
2022-11-16 04:37 Python wide-dataframe use_legacy_dataset=false 0.538 s -1.557
2022-11-16 04:37 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.794 s 0.784
2022-11-16 04:37 Python wide-dataframe use_legacy_dataset=true 0.374 s 0.378
2022-11-16 04:37 Python file-write lz4, feather, table, nyctaxi_2010-01 1.790 s -1.045
2022-11-16 04:47 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.597 s -0.092
2022-11-16 04:56 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.942 s 0.074
2022-11-16 04:49 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.584 s -0.593
2022-11-16 05:06 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.220 s -0.816
2022-11-16 04:52 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.911 s 0.510
2022-11-16 04:58 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.417 s -0.315
2022-11-16 04:46 R dataframe-to-table type_nested, R 0.571 s 1.064
2022-11-16 04:50 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.490 s 0.509
2022-11-16 04:46 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.595 s -1.293
2022-11-16 05:06 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.555 s -0.053
2022-11-16 04:46 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.333 s -0.899
2022-11-16 05:13 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.311 s 0.837
2022-11-16 05:18 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.363 s 0.249
2022-11-16 05:19 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.293 s 0.113
2022-11-16 05:27 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.278 s 1.457
2022-11-16 05:33 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.254 s -0.084
2022-11-16 04:46 R dataframe-to-table type_dict, R 0.033 s 3.353
2022-11-16 04:59 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.995 s 0.957
2022-11-16 05:10 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s -0.821
2022-11-16 05:12 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.892 s 1.338
2022-11-16 05:13 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.309 s -0.010
2022-11-16 05:16 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.366 s 0.025
2022-11-16 05:16 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.339 s 0.601
2022-11-16 05:20 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.436 s 0.392
2022-11-16 04:45 R dataframe-to-table chi_traffic_2020_Q1, R 4.350 s -0.422
2022-11-16 04:48 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.896 s -0.087
2022-11-16 05:00 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.964 s 0.332
2022-11-16 04:48 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.552 s -0.319
2022-11-16 05:04 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.319 s -1.020
2022-11-16 05:06 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.576 s 0.570
2022-11-16 05:08 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.003 s 0.102
2022-11-16 05:07 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.236 s -0.277
2022-11-16 04:45 R dataframe-to-table type_strings, R 0.537 s 0.726
2022-11-16 04:48 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.893 s -0.172
2022-11-16 05:05 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.465 s 1.241
2022-11-16 05:09 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.050 s -0.397
2022-11-16 05:11 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.238 s 0.125
2022-11-16 05:12 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s -0.089
2022-11-16 05:13 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s -0.785
2022-11-16 05:14 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.630 s 1.053
2022-11-16 04:46 R dataframe-to-table type_integers, R 0.010 s 0.281
2022-11-16 05:08 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.774 s -1.181
2022-11-16 04:47 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.565 s 1.144
2022-11-16 04:47 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.854 s -0.683
2022-11-16 04:48 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.820 s 0.186
2022-11-16 05:07 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.588 s -0.534
2022-11-16 04:47 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.293
2022-11-16 04:54 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.601 s 0.196
2022-11-16 05:08 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.344 s -0.513
2022-11-16 04:47 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.576 s -0.903
2022-11-16 05:06 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.243 s 0.962
2022-11-16 05:08 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.327
2022-11-16 05:17 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.591 s -0.114
2022-11-16 04:46 R dataframe-to-table type_floats, R 0.013 s 1.088
2022-11-16 04:49 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.903 s 0.458
2022-11-16 04:51 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.118 s 0.399
2022-11-16 04:47 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.324 s -0.891
2022-11-16 04:48 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s -0.881
2022-11-16 05:01 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.733 s 0.772
2022-11-16 05:07 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.276 s -1.767
2022-11-16 05:12 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.179 s -0.681
2022-11-16 05:19 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.268 s 0.181
2022-11-16 05:19 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.319 s -0.399
2022-11-16 05:28 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.464 s 0.783
2022-11-16 05:38 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.285 s 1.857
2022-11-16 04:48 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.550 s -0.594
2022-11-16 05:06 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.241
2022-11-16 05:09 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.266 s -0.982
2022-11-16 05:10 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.587 s -0.889
2022-11-16 05:16 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.372
2022-11-16 05:20 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.766 s -0.290
2022-11-16 05:21 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.607
2022-11-16 05:24 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.470 s -1.108
2022-11-16 05:30 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.235 s -0.110
2022-11-16 04:55 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.956 s -0.546
2022-11-16 04:57 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.493 s 0.358
2022-11-16 05:09 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.443
2022-11-16 05:11 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 1.323
2022-11-16 05:13 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.263 s 0.199
2022-11-16 05:16 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s -0.379
2022-11-16 05:24 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.169 s -0.545
2022-11-16 05:03 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.302 s 1.636
2022-11-16 05:07 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.599
2022-11-16 05:09 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.333
2022-11-16 05:19 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s -0.245
2022-11-16 05:09 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.651 s 0.762
2022-11-16 05:14 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.329
2022-11-16 05:16 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.402
2022-11-16 05:24 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.295 s -0.317
2022-11-16 05:26 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.225 s -0.978
2022-11-16 05:26 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.412 s -1.228
2022-11-16 05:02 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.917 s 0.443
2022-11-16 05:07 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s -0.434
2022-11-16 05:08 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.545
2022-11-16 05:09 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.332 s 0.237
2022-11-16 05:09 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s -0.750
2022-11-16 05:11 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.658
2022-11-16 05:14 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.479
2022-11-16 05:17 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.763 s 1.237
2022-11-16 05:21 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.102 s 0.067
2022-11-16 05:32 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.264 s -0.654
2022-11-16 05:38 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.255 s 1.553
2022-11-16 05:40 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.787 s -1.477
2022-11-16 05:10 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.300 s -0.658
2022-11-16 05:14 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.387
2022-11-16 05:15 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.175 s -0.076
2022-11-16 05:17 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.386 s -0.564
2022-11-16 05:21 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.333 s -1.354
2022-11-16 05:23 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.227 s -0.045
2022-11-16 05:27 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.350 s -1.080
2022-11-16 05:29 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.772 s -0.584
2022-11-16 05:36 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.318 s -0.620
2022-11-16 05:06 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.556 s -0.334
2022-11-16 05:08 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.656
2022-11-16 05:18 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.709 s -0.229
2022-11-16 05:19 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.790 s -1.174
2022-11-16 05:21 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s -0.268
2022-11-16 05:27 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.205 s -0.494
2022-11-16 05:29 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 0.487
2022-11-16 05:31 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.320 s 1.001
2022-11-16 05:35 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.196 s 0.910
2022-11-16 05:10 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.908 s 0.411
2022-11-16 05:11 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.515 s -0.407
2022-11-16 05:12 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.456
2022-11-16 05:14 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.625 s 1.934
2022-11-16 05:22 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.344
2022-11-16 05:32 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.216 s -0.177
2022-11-16 05:20 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.949 s 0.187
2022-11-16 05:31 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.214 s 0.995
2022-11-16 05:38 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.339
2022-11-16 05:14 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s -0.268
2022-11-16 05:23 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s -0.335
2022-11-16 05:23 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.864 s -0.052
2022-11-16 05:24 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.871 s -1.089
2022-11-16 05:28 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.921 s -0.353
2022-11-16 05:29 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s -0.118
2022-11-16 05:31 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.143
2022-11-16 05:33 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.967 s -0.598
2022-11-16 05:40 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.437 s 0.392
2022-11-16 05:11 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.192 s 1.273
2022-11-16 05:11 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.789
2022-11-16 05:15 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.349 s -0.756
2022-11-16 05:23 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s -0.287
2022-11-16 05:24 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.357 s -0.685
2022-11-16 05:27 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.256 s -0.814
2022-11-16 05:28 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.326 s -1.447
2022-11-16 05:34 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s 0.019
2022-11-16 05:34 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.535 s 0.258
2022-11-16 05:37 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.397 s 1.522
2022-11-16 05:13 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.635 s 0.051
2022-11-16 05:15 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s -0.542
2022-11-16 05:17 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.545
2022-11-16 05:18 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.606 s 0.414
2022-11-16 05:28 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.427 s -0.383
2022-11-16 05:34 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.291
2022-11-16 05:36 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s -0.747
2022-11-16 05:18 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.332 s 0.353
2022-11-16 05:21 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 0.931
2022-11-16 05:25 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.139 s 0.718
2022-11-16 05:29 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.202 s -0.146
2022-11-16 05:32 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.256
2022-11-16 05:33 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.662 s -0.454
2022-11-16 05:40 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.380 s 0.095
2022-11-16 05:15 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.274 s -0.302
2022-11-16 05:24 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s -0.013
2022-11-16 05:24 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.250 s -0.689
2022-11-16 05:30 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s -0.676
2022-11-16 05:31 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s 0.116
2022-11-16 05:31 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.529 s -1.047
2022-11-16 05:16 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.331 s 0.135
2022-11-16 05:18 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.421 s -0.593
2022-11-16 05:21 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.252 s 0.382
2022-11-16 05:22 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.891 s 1.301
2022-11-16 05:22 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.730 s -0.251
2022-11-16 05:36 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.262 s -0.324
2022-11-16 05:21 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s -0.619
2022-11-16 05:32 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.050 s 0.141
2022-11-16 05:36 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.425 s -0.167
2022-11-16 05:36 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.860 s 0.294
2022-11-16 05:38 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.254 s 1.818
2022-11-16 05:39 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.597 s 2.310
2022-11-16 05:23 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.208
2022-11-16 05:23 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.529 s -1.657
2022-11-16 05:26 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.585 s -0.051
2022-11-16 05:28 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.231 s -0.240
2022-11-16 05:31 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.188 s 0.900
2022-11-16 05:39 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.947 s -0.132
2022-11-16 05:26 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.824 s -0.608
2022-11-16 05:29 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.449
2022-11-16 05:34 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.727 s -0.279
2022-11-16 05:40 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.719 s -0.730
2022-11-16 05:25 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.509 s 1.227
2022-11-16 05:26 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.232
2022-11-16 05:26 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.326 s -0.278
2022-11-16 05:30 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.612 s -1.742
2022-11-16 05:32 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.881 s 0.686
2022-11-16 05:35 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.457 s 1.966
2022-11-16 05:36 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.305 s -0.539
2022-11-16 05:30 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.581 s -0.261
2022-11-16 05:32 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.320 s -1.683
2022-11-16 05:34 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s -0.310
2022-11-16 05:34 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.709
2022-11-16 05:34 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 0.679
2022-11-16 05:38 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.238
2022-11-16 05:39 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.916 s -0.987
2022-11-16 05:41 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.104 s 0.737
2022-11-16 05:38 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.133 s -1.797
2022-11-16 05:40 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.890 s 0.116
2022-11-16 05:43 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.020 s -0.436
2022-11-16 05:45 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.535 s 1.111
2022-11-16 05:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s 0.054
2022-11-16 05:46 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.447 s -0.455
2022-11-16 05:45 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s -0.214
2022-11-16 05:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.106
2022-11-16 05:46 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.311 s -0.407
2022-11-16 05:54 JavaScript vectorFromArray numbers 0.016 s 0.436
2022-11-16 05:45 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s 0.080
2022-11-16 05:55 JavaScript get Vector float64Array 0.002 s 0.092
2022-11-16 05:55 JavaScript Parse write recordBatches, tracks 0.002 s -0.185
2022-11-16 05:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.222 s 0.086
2022-11-16 05:55 JavaScript Spread Vector float32Array 0.008 s 0.135
2022-11-16 05:54 JavaScript Iterate Vector uint8Array 0.002 s 0.014
2022-11-16 05:54 JavaScript Iterate Vector uint32Array 0.002 s 0.755
2022-11-16 05:46 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.303 s -0.175
2022-11-16 05:54 JavaScript vectorFromArray booleans 0.017 s 0.810
2022-11-16 05:54 JavaScript Iterate Vector uint16Array 0.002 s -0.002
2022-11-16 05:54 JavaScript Iterate Vector int64Array 0.004 s 0.668
2022-11-16 05:55 JavaScript Spread Vector uint64Array 0.012 s -0.855
2022-11-16 05:54 JavaScript Iterate Vector uint64Array 0.004 s 0.555
2022-11-16 05:55 JavaScript Iterate Vector string 0.126 s 0.491
2022-11-16 05:54 JavaScript Iterate Vector int32Array 0.002 s 0.057
2022-11-16 05:54 JavaScript Iterate Vector float32Array 0.002 s 0.672
2022-11-16 05:55 JavaScript Iterate Vector dictionary 0.004 s -2.412
2022-11-16 05:55 JavaScript Spread Vector uint8Array 0.006 s 0.164
2022-11-16 05:55 JavaScript get Vector booleans 0.002 s -0.654
2022-11-16 05:55 JavaScript get Vector string 0.125 s -0.332
2022-11-16 05:55 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.482
2022-11-16 05:54 JavaScript Iterate Vector int16Array 0.002 s -0.220
2022-11-16 05:55 JavaScript Spread Vector uint16Array 0.007 s -0.107
2022-11-16 05:55 JavaScript Spread Vector int16Array 0.007 s 0.054
2022-11-16 05:55 JavaScript get Vector uint64Array 0.003 s 0.172
2022-11-16 05:55 JavaScript get Vector int16Array 0.003 s 0.035
2022-11-16 05:55 JavaScript get Vector float32Array 0.002 s 0.146
2022-11-16 05:55 JavaScript get Vector dictionary 0.002 s 0.592
2022-11-16 05:55 JavaScript Table tracks, 1,000,000 0.050 s 0.142
2022-11-16 05:55 JavaScript Table 1,000,000, tracks 0.256 s 0.734
2022-11-16 05:55 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.591
2022-11-16 05:55 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.015
2022-11-16 05:55 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.079
2022-11-16 05:55 JavaScript toArray Vector uint32Array
2022-11-16 05:55 JavaScript get Vector uint8Array 0.003 s 0.578
2022-11-16 05:55 JavaScript get Vector uint32Array 0.003 s 0.630
2022-11-16 05:54 JavaScript vectorFromArray dictionary 0.017 s 0.469
2022-11-16 05:55 JavaScript Iterate Vector float64Array 0.002 s 0.198
2022-11-16 05:55 JavaScript toArray Vector string 0.146 s 0.116
2022-11-16 05:55 JavaScript get Vector uint16Array 0.003 s 0.434
2022-11-16 05:55 JavaScript get Vector numbers 0.002 s 0.091
2022-11-16 05:55 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.323
2022-11-16 05:55 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 05:54 JavaScript Iterate Vector int8Array 0.002 s 0.341
2022-11-16 05:55 JavaScript Spread Vector uint32Array 0.007 s 0.180
2022-11-16 05:55 JavaScript Spread Vector dictionary 0.010 s 0.394
2022-11-16 05:55 JavaScript toArray Vector uint8Array
2022-11-16 05:55 JavaScript Iterate Vector numbers 0.002 s 0.500
2022-11-16 05:55 JavaScript toArray Vector int8Array
2022-11-16 05:55 JavaScript toArray Vector int32Array
2022-11-16 05:55 JavaScript toArray Vector float32Array
2022-11-16 05:55 JavaScript toArray Vector numbers
2022-11-16 05:55 JavaScript toArray Vector dictionary 0.010 s -0.331
2022-11-16 05:55 JavaScript Iterate Vector booleans 0.004 s 0.658
2022-11-16 05:55 JavaScript Spread Vector booleans 0.010 s 0.632
2022-11-16 05:55 JavaScript Spread Vector string 0.145 s 0.506
2022-11-16 05:55 JavaScript toArray Vector uint16Array
2022-11-16 05:55 JavaScript toArray Vector uint64Array
2022-11-16 05:55 JavaScript Parse read recordBatches, tracks 0.000 s 1.642
2022-11-16 05:55 JavaScript Spread Vector int8Array 0.006 s 0.272
2022-11-16 05:55 JavaScript Spread Vector int32Array 0.006 s 0.184
2022-11-16 05:55 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.035
2022-11-16 05:55 JavaScript Spread Vector int64Array 0.012 s -0.539
2022-11-16 05:55 JavaScript Spread Vector float64Array 0.008 s 0.284
2022-11-16 05:55 JavaScript toArray Vector int16Array
2022-11-16 05:55 JavaScript toArray Vector int64Array
2022-11-16 05:55 JavaScript Spread Vector numbers 0.008 s 0.282
2022-11-16 05:55 JavaScript toArray Vector float64Array
2022-11-16 05:55 JavaScript toArray Vector booleans 0.010 s 0.058
2022-11-16 05:55 JavaScript get Vector int64Array 0.003 s 0.146
2022-11-16 05:55 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.028
2022-11-16 05:55 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.360
2022-11-16 05:55 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.319
2022-11-16 05:55 JavaScript get Vector int8Array 0.003 s 0.701
2022-11-16 05:55 JavaScript get Vector int32Array 0.003 s 0.199
2022-11-16 05:55 JavaScript Table tracks, 1,000,000 0.271 s 0.140
2022-11-16 05:55 JavaScript Table tracks, 1,000,000 0.095 s 0.433
2022-11-16 05:55 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.667
2022-11-16 05:55 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.326
2022-11-16 05:55 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.365
2022-11-16 05:55 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.519
2022-11-16 05:55 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.123
2022-11-16 05:55 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 1.043
2022-11-16 05:55 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 05:55 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 05:55 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.191 s -0.961
2022-11-16 05:55 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.435
2022-11-16 05:55 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 05:55 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.203
2022-11-16 05:55 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.310