Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-17 02:07 Python dataframe-to-table type_dict 0.011 s 1.219
2022-11-17 02:10 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 53.449 s 3.821
2022-11-17 02:07 Python dataframe-to-table type_integers 0.010 s -0.551
2022-11-17 02:03 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.052 s 0.848
2022-11-17 02:04 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.116 s 1.329
2022-11-17 02:05 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.784 s 0.462
2022-11-17 02:07 Python dataframe-to-table type_strings 0.447 s 0.071
2022-11-17 02:07 Python dataset-filter nyctaxi_2010-01 1.008 s -0.018
2022-11-17 02:04 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.427 s -0.329
2022-11-17 02:07 Python dataframe-to-table type_nested 2.989 s -2.992
2022-11-17 02:04 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.840 s 0.504
2022-11-17 02:02 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.682 s -0.128
2022-11-17 02:02 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.226 s 1.680
2022-11-17 02:03 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.074 s 0.666
2022-11-17 02:07 Python dataframe-to-table type_floats 0.011 s 0.127
2022-11-17 02:07 Python dataframe-to-table chi_traffic_2020_Q1 20.639 s -1.837
2022-11-17 02:14 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 79.474 s 0.930
2022-11-17 02:25 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.661 s -0.917
2022-11-17 02:25 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.168 s -0.669
2022-11-17 02:27 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.551 s 2.633
2022-11-17 02:25 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.203 s -0.561
2022-11-17 02:25 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.670 s -0.313
2022-11-17 02:27 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.972 s -0.403
2022-11-17 02:27 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.324 s 1.930
2022-11-17 02:24 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.179 s 0.518
2022-11-17 02:25 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.631 s -0.505
2022-11-17 02:25 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.128 s 0.143
2022-11-17 02:26 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.514 s -0.371
2022-11-17 02:25 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.047 s 0.162
2022-11-17 02:26 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.509 s -0.035
2022-11-17 02:27 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.984 s -1.095
2022-11-17 02:27 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.922 s -0.158
2022-11-17 02:25 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.065 s 0.048
2022-11-17 02:24 Python dataset-read async=True, nyctaxi_multi_ipc_s3 198.345 s 1.875
2022-11-17 02:25 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.290 s 0.175
2022-11-17 02:26 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.209 s 2.699
2022-11-17 02:24 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.177 s 0.250
2022-11-17 02:26 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.613 s 3.044
2022-11-17 02:26 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.324 s 0.448
2022-11-17 02:26 Python file-read lz4, feather, table, fanniemae_2016Q4 0.838 s -1.692
2022-11-17 02:27 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.932 s 0.585
2022-11-17 02:28 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.029 s 0.378
2022-11-17 02:24 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.250 s -0.310
2022-11-17 02:27 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.955 s -2.374
2022-11-17 02:27 Python file-read lz4, feather, table, nyctaxi_2010-01 0.687 s 0.046
2022-11-17 02:29 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.575 s 0.191
2022-11-17 02:29 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.353 s 0.397
2022-11-17 02:30 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.861 s 0.265
2022-11-17 02:31 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.216 s -1.467
2022-11-17 02:31 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.654 s 0.448
2022-11-17 02:31 Python file-write lz4, feather, table, fanniemae_2016Q4 1.577 s -1.714
2022-11-17 02:32 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.707 s 0.217
2022-11-17 02:32 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.576 s 1.215
2022-11-17 02:33 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.092 s 0.742
2022-11-17 02:34 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.822 s 0.226
2022-11-17 02:43 R dataframe-to-table type_strings, R 0.537 s 0.632
2022-11-17 02:45 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.106
2022-11-17 02:52 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.563 s 0.249
2022-11-17 03:02 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.320 s -0.955
2022-11-17 03:03 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.226 s -1.007
2022-11-17 02:43 R dataframe-to-table type_dict, R 0.034 s 1.983
2022-11-17 02:45 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.549 s -0.268
2022-11-17 02:34 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.942 s 1.623
2022-11-17 02:45 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.385
2022-11-17 02:34 Python wide-dataframe use_legacy_dataset=false 0.504 s 0.927
2022-11-17 02:43 R dataframe-to-table type_floats, R 0.013 s 1.041
2022-11-17 02:45 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.602 s -0.702
2022-11-17 02:46 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.552 s -0.192
2022-11-17 02:54 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.952 s -0.252
2022-11-17 02:43 R dataframe-to-table type_integers, R 0.010 s 0.363
2022-11-17 02:46 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.409
2022-11-17 02:57 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.990 s 0.909
2022-11-17 02:33 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.509 s 1.111
2022-11-17 02:46 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.897 s 0.020
2022-11-17 02:46 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.819 s 0.486
2022-11-17 02:34 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.497 s -0.851
2022-11-17 02:46 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.584 s -0.566
2022-11-17 02:44 R dataframe-to-table type_nested, R 0.571 s 0.880
2022-11-17 02:34 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.014 s 0.738
2022-11-17 02:44 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.334 s -1.165
2022-11-17 02:45 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.891 s 0.211
2022-11-17 03:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.286 s -0.108
2022-11-17 03:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.501
2022-11-17 02:43 R dataframe-to-table chi_traffic_2020_Q1, R 4.336 s -0.564
2022-11-17 02:44 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.335 s -0.811
2022-11-17 03:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.344 s -0.056
2022-11-17 02:34 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.294
2022-11-17 02:49 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.155 s -0.062
2022-11-17 02:52 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.948 s 1.184
2022-11-17 03:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s -0.188
2022-11-17 03:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s -0.236
2022-11-17 03:03 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.553 s 0.086
2022-11-17 02:34 Python file-write lz4, feather, table, nyctaxi_2010-01 1.782 s -0.952
2022-11-17 02:44 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -0.472
2022-11-17 02:50 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.929 s 0.178
2022-11-17 02:44 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.576 s -0.716
2022-11-17 02:45 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.856 s -0.818
2022-11-17 02:56 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.406 s -0.131
2022-11-17 02:59 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.716 s 0.978
2022-11-17 03:01 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.310 s -0.734
2022-11-17 03:04 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.563 s -0.359
2022-11-17 03:04 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.247 s -0.280
2022-11-17 02:46 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.898 s 1.195
2022-11-17 02:47 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.483 s 0.396
2022-11-17 03:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.178
2022-11-17 03:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.584 s -0.127
2022-11-17 03:04 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.197 s -0.634
2022-11-17 03:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.276 s -0.051
2022-11-17 03:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.146
2022-11-17 03:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s -0.799
2022-11-17 03:00 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.970 s -1.097
2022-11-17 03:04 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.576 s 0.589
2022-11-17 03:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s -0.474
2022-11-17 02:54 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.487 s 1.270
2022-11-17 03:02 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.469 s -0.077
2022-11-17 03:04 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.199 s -1.079
2022-11-17 02:58 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.955 s 0.374
2022-11-17 03:04 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.236 s -0.292
2022-11-17 03:04 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.603
2022-11-17 03:07 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.266 s -1.371
2022-11-17 03:07 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.300 s -0.773
2022-11-17 03:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.056 s -0.837
2022-11-17 03:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.706 s 0.091
2022-11-17 03:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s -0.201
2022-11-17 03:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.361
2022-11-17 03:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s -0.355
2022-11-17 03:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.503 s 0.064
2022-11-17 03:08 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.756
2022-11-17 03:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.907 s 0.554
2022-11-17 03:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.228 s 0.322
2022-11-17 03:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.509
2022-11-17 03:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.636 s -0.005
2022-11-17 03:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.197 s 0.033
2022-11-17 03:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s -1.831
2022-11-17 03:10 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.347 s 0.092
2022-11-17 03:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.489
2022-11-17 03:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.172 s 0.038
2022-11-17 03:10 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.260 s 0.777
2022-11-17 03:10 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.247
2022-11-17 03:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.889 s 1.662
2022-11-17 03:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.314 s -0.030
2022-11-17 03:10 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.309 s 0.080
2022-11-17 03:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.667 s 0.681
2022-11-17 03:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.239 s -5.442
2022-11-17 03:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s -0.593
2022-11-17 03:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s 0.037
2022-11-17 03:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.628 s 0.566
2022-11-17 03:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s -0.691
2022-11-17 03:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.510 s -1.129
2022-11-17 03:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.175 s -0.528
2022-11-17 03:13 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.282 s 0.073
2022-11-17 03:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.287 s -0.398
2022-11-17 03:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.579
2022-11-17 03:13 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.283 s 0.235
2022-11-17 03:13 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.334 s -0.579
2022-11-17 03:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.763 s 1.272
2022-11-17 03:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.340 s 0.360
2022-11-17 03:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.369 s -0.663
2022-11-17 03:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.657 s -0.556
2022-11-17 03:15 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.543
2022-11-17 03:15 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s 0.283
2022-11-17 03:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.701 s -1.961
2022-11-17 03:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.714 s -1.049
2022-11-17 03:15 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.331 s 0.445
2022-11-17 03:15 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.421 s -0.740
2022-11-17 03:15 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.361 s 0.441
2022-11-17 03:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.606 s 0.228
2022-11-17 03:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.745 s -0.250
2022-11-17 03:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.269 s -0.153
2022-11-17 03:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.320 s -1.002
2022-11-17 03:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s -1.230
2022-11-17 03:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.132 s -0.301
2022-11-17 03:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.369 s -1.320
2022-11-17 03:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.438 s -0.098
2022-11-17 03:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.769 s -0.621
2022-11-17 03:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.958 s -1.625
2022-11-17 03:18 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.295 s -0.668
2022-11-17 03:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.534 s -3.443
2022-11-17 03:25 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.324 s -0.507
2022-11-17 03:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.265 s -1.224
2022-11-17 03:18 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.248 s 0.198
2022-11-17 03:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.252 s 0.097
2022-11-17 03:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s -0.269
2022-11-17 03:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.213
2022-11-17 03:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.891 s 1.432
2022-11-17 03:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.427 s -0.476
2022-11-17 03:28 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s -1.888
2022-11-17 03:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.329
2022-11-17 03:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.667 s -3.518
2022-11-17 03:20 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.206 s -0.183
2022-11-17 03:21 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.251 s -1.181
2022-11-17 03:27 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.803 s -1.103
2022-11-17 03:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.140
2022-11-17 03:35 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.160
2022-11-17 03:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.277 s 1.466
2022-11-17 03:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.321
2022-11-17 03:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.235 s -0.049
2022-11-17 03:37 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.383 s -0.380
2022-11-17 03:37 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.717 s -0.271
2022-11-17 03:42 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.756 s -0.003
2022-11-17 03:28 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.193 s -1.377
2022-11-17 03:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.894 s 0.118
2022-11-17 03:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.470 s 0.546
2022-11-17 03:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.410 s -0.155
2022-11-17 03:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.566 s 0.286
2022-11-17 03:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.038
2022-11-17 03:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.886 s -0.161
2022-11-17 03:52 JavaScript vectorFromArray dictionary 0.017 s 0.775
2022-11-17 03:52 JavaScript get Vector booleans 0.002 s 0.008
2022-11-17 03:52 JavaScript Table tracks, 1,000,000 0.094 s 0.659
2022-11-17 03:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.325 s -0.004
2022-11-17 03:20 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.300 s -1.060
2022-11-17 03:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.584 s 0.280
2022-11-17 03:25 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.007
2022-11-17 03:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.918 s 0.048
2022-11-17 03:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.280 s -0.917
2022-11-17 03:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.581 s -0.312
2022-11-17 03:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.317 s -0.515
2022-11-17 03:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.407 s 0.444
2022-11-17 03:52 JavaScript Iterate Vector int64Array 0.004 s -0.259
2022-11-17 03:20 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.722 s 0.092
2022-11-17 03:33 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.430 s -0.753
2022-11-17 03:41 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.057 s -0.536
2022-11-17 03:23 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.129 s 0.971
2022-11-17 03:28 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.235 s -0.360
2022-11-17 03:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s -0.110
2022-11-17 03:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.954 s 0.034
2022-11-17 03:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.825 s -0.901
2022-11-17 03:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.058 s -0.205
2022-11-17 03:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.393
2022-11-17 03:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.474 s 1.203
2022-11-17 03:33 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.266 s -0.739
2022-11-17 03:52 JavaScript vectorFromArray numbers 0.016 s 0.136
2022-11-17 03:52 JavaScript toArray Vector int16Array
2022-11-17 03:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.326 s 0.150
2022-11-17 03:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.298 s -1.436
2022-11-17 03:23 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.179 s 0.003
2022-11-17 03:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.436 s -0.787
2022-11-17 03:52 JavaScript get Vector float32Array 0.002 s 0.481
2022-11-17 03:52 JavaScript get Vector numbers 0.002 s 0.719
2022-11-17 03:52 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-17 03:20 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.226 s 0.046
2022-11-17 03:21 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.205 s -2.056
2022-11-17 03:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.127
2022-11-17 03:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.202 s 0.167
2022-11-17 03:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.212 s -0.381
2022-11-17 03:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.194 s 1.018
2022-11-17 03:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s -0.673
2022-11-17 03:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.369 s -0.452
2022-11-17 03:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.601 s 0.449
2022-11-17 03:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.478 s -3.728
2022-11-17 03:23 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.324 s 0.148
2022-11-17 03:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.611 s -1.561
2022-11-17 03:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.262 s -0.325
2022-11-17 03:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.532 s 0.848
2022-11-17 03:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.101 s -0.892
2022-11-17 03:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.237 s 0.559
2022-11-17 03:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.761 s -0.526
2022-11-17 03:20 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.258 s -0.920
2022-11-17 03:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.148 s 0.028
2022-11-17 03:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.359 s -1.407
2022-11-17 03:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.864 s -0.223
2022-11-17 03:23 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s 0.270
2022-11-17 03:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.523 s 0.302
2022-11-17 03:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.259 s 0.063
2022-11-17 03:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.623
2022-11-17 03:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.340
2022-11-17 03:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.863 s 0.076
2022-11-17 03:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.522 s -0.320
2022-11-17 03:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.317 s 0.330
2022-11-17 03:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.217 s -0.725
2022-11-17 03:31 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.411
2022-11-17 03:52 JavaScript Iterate Vector dictionary 0.004 s 0.511
2022-11-17 03:52 JavaScript Spread Vector uint8Array 0.006 s 0.423
2022-11-17 03:52 JavaScript Spread Vector uint32Array 0.006 s 0.271
2022-11-17 03:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.204 s 0.113
2022-11-17 03:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.289 s -0.041
2022-11-17 03:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.871 s 1.915
2022-11-17 03:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.255 s -0.743
2022-11-17 03:31 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s -0.777
2022-11-17 03:33 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.320 s -0.709
2022-11-17 03:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.870 s -1.168
2022-11-17 03:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.782 s -0.450
2022-11-17 03:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.305 s -0.665
2022-11-17 03:52 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.214
2022-11-17 03:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.307 s -0.615
2022-11-17 03:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.950 s -0.122
2022-11-17 03:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s 0.238
2022-11-17 03:52 JavaScript Iterate Vector booleans 0.004 s 0.814
2022-11-17 03:52 JavaScript Spread Vector int16Array 0.006 s 0.129
2022-11-17 03:52 JavaScript Spread Vector int64Array 0.012 s -0.154
2022-11-17 03:52 JavaScript Spread Vector float64Array 0.008 s 0.270
2022-11-17 03:37 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s -0.157
2022-11-17 03:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.128 s -0.225
2022-11-17 03:52 JavaScript Iterate Vector uint16Array 0.002 s 0.427
2022-11-17 03:52 JavaScript Iterate Vector int16Array 0.002 s 0.395
2022-11-17 03:52 JavaScript Iterate Vector float64Array 0.002 s 0.699
2022-11-17 03:52 JavaScript Iterate Vector uint32Array 0.002 s 0.264
2022-11-17 03:52 JavaScript Iterate Vector int8Array 0.002 s 0.841
2022-11-17 03:52 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.268
2022-11-17 03:52 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -1.607
2022-11-17 03:52 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.195
2022-11-17 03:52 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-17 03:52 JavaScript Iterate Vector int32Array 0.002 s 0.432
2022-11-17 03:52 JavaScript Iterate Vector float32Array 0.002 s 0.752
2022-11-17 03:52 JavaScript Iterate Vector numbers 0.002 s 0.607
2022-11-17 03:52 JavaScript Spread Vector dictionary 0.010 s -0.663
2022-11-17 03:52 JavaScript toArray Vector uint8Array
2022-11-17 03:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s -0.020
2022-11-17 03:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.302 s -0.085
2022-11-17 03:52 JavaScript Spread Vector int32Array 0.006 s 0.150
2022-11-17 03:52 JavaScript Spread Vector numbers 0.008 s 0.327
2022-11-17 03:52 JavaScript toArray Vector uint32Array
2022-11-17 03:52 JavaScript toArray Vector int8Array
2022-11-17 03:52 JavaScript toArray Vector int32Array
2022-11-17 03:52 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.188 s 0.207
2022-11-17 03:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.445 s 0.277
2022-11-17 03:52 JavaScript get Vector int32Array 0.003 s 0.935
2022-11-17 03:52 JavaScript vectorFromArray booleans 0.018 s 0.147
2022-11-17 03:52 JavaScript Iterate Vector uint8Array 0.002 s 1.237
2022-11-17 03:52 JavaScript Iterate Vector uint64Array 0.004 s 0.577
2022-11-17 03:52 JavaScript Iterate Vector string 0.127 s -0.313
2022-11-17 03:52 JavaScript Spread Vector uint16Array 0.006 s 0.261
2022-11-17 03:52 JavaScript Spread Vector uint64Array 0.012 s -0.311
2022-11-17 03:52 JavaScript Spread Vector string 0.146 s -0.182
2022-11-17 03:52 JavaScript toArray Vector uint16Array
2022-11-17 03:52 JavaScript toArray Vector uint64Array
2022-11-17 03:52 JavaScript Spread Vector int8Array 0.006 s 0.410
2022-11-17 03:52 JavaScript Spread Vector float32Array 0.008 s -0.250
2022-11-17 03:52 JavaScript Spread Vector booleans 0.010 s -0.760
2022-11-17 03:52 JavaScript toArray Vector int64Array
2022-11-17 03:52 JavaScript get Vector int64Array 0.003 s -0.376
2022-11-17 03:52 JavaScript get Vector string 0.125 s -0.239
2022-11-17 03:52 JavaScript Parse write recordBatches, tracks 0.002 s -2.191
2022-11-17 03:52 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.001 s -1.047
2022-11-17 03:52 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -1.033
2022-11-17 03:52 JavaScript toArray Vector float32Array
2022-11-17 03:52 JavaScript toArray Vector numbers
2022-11-17 03:52 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.012
2022-11-17 03:52 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-17 03:52 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.033 s -0.154
2022-11-17 03:52 JavaScript toArray Vector float64Array
2022-11-17 03:52 JavaScript toArray Vector booleans 0.010 s -1.212
2022-11-17 03:52 JavaScript toArray Vector string 0.147 s -1.035
2022-11-17 03:52 JavaScript get Vector uint16Array 0.003 s 0.687
2022-11-17 03:52 JavaScript get Vector uint64Array 0.003 s -0.800
2022-11-17 03:52 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.673
2022-11-17 03:52 JavaScript Table tracks, 1,000,000 0.254 s 0.891
2022-11-17 03:52 JavaScript toArray Vector dictionary 0.010 s -1.070
2022-11-17 03:52 JavaScript get Vector uint8Array 0.003 s 0.847
2022-11-17 03:52 JavaScript get Vector uint32Array 0.003 s 0.264
2022-11-17 03:52 JavaScript get Vector int8Array 0.003 s -0.245
2022-11-17 03:52 JavaScript get Vector int16Array 0.003 s 0.635
2022-11-17 03:52 JavaScript get Vector float64Array 0.002 s 0.661
2022-11-17 03:52 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.609
2022-11-17 03:52 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.447
2022-11-17 03:52 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.563
2022-11-17 03:52 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.630
2022-11-17 03:52 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-17 03:52 JavaScript get Vector dictionary 0.002 s 0.612
2022-11-17 03:52 JavaScript Parse read recordBatches, tracks 0.000 s -0.196
2022-11-17 03:52 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.445
2022-11-17 03:52 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.536
2022-11-17 03:52 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s 0.133
2022-11-17 03:52 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.439
2022-11-17 03:52 JavaScript Table tracks, 1,000,000 0.050 s 0.059
2022-11-17 03:52 JavaScript Table 1,000,000, tracks 0.281 s -0.411
2022-11-17 03:52 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.395