Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-15 12:29 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.275 s 0.049
2023-01-15 12:29 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.796 s -0.910
2023-01-15 12:30 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.042 s -0.987
2023-01-15 12:31 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.442 s -0.553
2023-01-15 12:31 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.099 s -1.284
2023-01-15 12:31 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.118 s 0.243
2023-01-15 12:32 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.491 s 1.013
2023-01-15 12:32 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.563 s 1.001
2023-01-15 12:34 Python dataframe-to-table type_integers 0.010 s -1.888
2023-01-15 12:34 Python dataframe-to-table type_strings 0.430 s -0.805
2023-01-15 12:35 Python dataset-filter nyctaxi_2010-01 1.024 s -0.173
2023-01-15 12:34 Python dataframe-to-table chi_traffic_2020_Q1 21.185 s -0.286
2023-01-15 12:34 Python dataframe-to-table type_dict 0.011 s 1.127
2023-01-15 12:34 Python dataframe-to-table type_floats 0.010 s 0.194
2023-01-15 12:35 Python dataframe-to-table type_nested 2.975 s -0.010
2023-01-15 12:39 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 92.596 s -1.351
2023-01-15 12:44 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.817 s -0.186
2023-01-15 12:56 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 3.563 s -4.316
2023-01-15 12:55 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.266 s 0.387
2023-01-15 12:55 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.816 s -4.351
2023-01-15 12:57 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.953
2023-01-15 12:57 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.024 s -5.467
2023-01-15 13:01 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.243
2023-01-15 12:55 Python dataset-read async=True, nyctaxi_multi_ipc_s3 222.992 s -0.098
2023-01-15 12:56 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 3.745 s -4.171
2023-01-15 12:57 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.601
2023-01-15 12:55 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.950 s -4.333
2023-01-15 12:56 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.230 s -3.799
2023-01-15 13:01 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.309 s -2.068
2023-01-15 12:55 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.892 s -4.897
2023-01-15 13:09 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.983 s 1.001
2023-01-15 13:09 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.405
2023-01-15 12:57 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 0.996
2023-01-15 12:58 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.525 s 1.050
2023-01-15 13:11 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.687 s 1.141
2023-01-15 12:56 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.180 s -1.876
2023-01-15 12:57 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -2.909
2023-01-15 13:10 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.050 s -2.067
2023-01-15 12:57 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.930 s -1.782
2023-01-15 12:56 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 3.610 s -4.354
2023-01-15 12:56 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.258 s -2.358
2023-01-15 12:57 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.163
2023-01-15 13:09 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.288 s -2.030
2023-01-15 13:02 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.153 s -1.081
2023-01-15 13:10 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.025
2023-01-15 13:10 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s -0.224
2023-01-15 13:14 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.888 s -1.947
2023-01-15 13:09 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.596
2023-01-15 13:15 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.411 s -0.532
2023-01-15 13:10 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.864 s 1.503
2023-01-15 13:15 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.403 s 1.329
2023-01-15 13:25 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.637 s 0.331
2023-01-15 13:24 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.623 s 0.226
2023-01-15 13:25 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.910 s 0.372
2023-01-15 13:25 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.937 s 0.322
2023-01-15 13:29 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.481 s -1.658
2023-01-15 13:31 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.956 s -0.203
2023-01-15 13:24 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.635 s 0.324
2023-01-15 13:24 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.498 s 0.076
2023-01-15 13:24 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.317 s 0.348
2023-01-15 13:25 Python file-read lz4, feather, table, fanniemae_2016Q4 0.818 s 0.212
2023-01-15 13:25 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.942 s -0.043
2023-01-15 13:25 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.594 s 0.288
2023-01-15 13:24 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.202 s 1.241
2023-01-15 13:26 Python file-read lz4, feather, table, nyctaxi_2010-01 0.682 s 0.218
2023-01-15 13:26 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.392 s -0.350
2023-01-15 13:27 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.299 s -1.472
2023-01-15 13:43 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.652 s -3.073
2023-01-15 13:47 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.897 s 0.291
2023-01-15 13:25 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.215 s 0.395
2023-01-15 13:33 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.138 s 0.016
2023-01-15 13:33 Python wide-dataframe use_legacy_dataset=true 0.430 s -5.034
2023-01-15 13:24 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.503 s 0.035
2023-01-15 13:25 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.996 s -0.212
2023-01-15 13:33 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.780 s -0.204
2023-01-15 13:33 Python file-write lz4, feather, table, nyctaxi_2010-01 1.837 s -0.367
2023-01-15 13:33 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.299 s -0.664
2023-01-15 13:26 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.766 s -1.956
2023-01-15 13:30 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.438 s -0.334
2023-01-15 13:30 Python file-write lz4, feather, table, fanniemae_2016Q4 1.902 s -0.478
2023-01-15 13:32 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.782 s -0.984
2023-01-15 13:33 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.256 s -0.843
2023-01-15 13:47 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.810 s 0.337
2023-01-15 13:25 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.983 s 0.005
2023-01-15 13:28 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.900 s -1.712
2023-01-15 13:42 R dataframe-to-table type_strings, R 0.536 s -0.344
2023-01-15 13:42 R dataframe-to-table type_dict, R 0.047 s 1.149
2023-01-15 13:29 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.426 s -0.194
2023-01-15 13:43 R dataframe-to-table type_nested, R 0.574 s -0.483
2023-01-15 13:43 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.315 s 0.176
2023-01-15 13:44 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.932 s -2.400
2023-01-15 13:45 R file-read lz4, feather, table, fanniemae_2016Q4, R 1.180 s -3.606
2023-01-15 13:47 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.576 s 0.305
2023-01-15 13:31 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.911 s -0.872
2023-01-15 13:42 R dataframe-to-table type_floats, R 0.013 s 0.582
2023-01-15 13:32 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.367 s -0.795
2023-01-15 13:33 Python wide-dataframe use_legacy_dataset=false 0.553 s -4.206
2023-01-15 13:44 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.372 s -1.902
2023-01-15 13:45 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 1.529 s -4.563
2023-01-15 13:46 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 1.010 s -2.929
2023-01-15 13:42 R dataframe-to-table type_integers, R 0.010 s 0.644
2023-01-15 13:45 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.711 s -3.389
2023-01-15 13:46 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.650 s -2.652
2023-01-15 13:48 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.879 s -1.821
2023-01-15 13:42 R dataframe-to-table chi_traffic_2020_Q1, R 4.391 s -1.868
2023-01-15 13:44 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.646 s -2.652
2023-01-15 13:44 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 1.170 s -2.384
2023-01-15 13:46 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 1.078 s -3.597
2023-01-15 13:46 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.349 s -0.863
2023-01-15 13:56 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.228
2023-01-15 13:57 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.442 s 1.216
2023-01-15 13:59 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.924 s -2.880
2023-01-15 14:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.167
2023-01-15 14:06 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.125
2023-01-15 14:10 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.896 s -3.572
2023-01-15 13:51 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.270 s -1.659
2023-01-15 14:05 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.561 s 0.031
2023-01-15 14:06 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.220
2023-01-15 14:07 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.000 s 0.527
2023-01-15 14:08 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.435 s 0.028
2023-01-15 14:09 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.302 s 0.028
2023-01-15 14:10 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.960 s -3.338
2023-01-15 14:11 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.284 s -3.920
2023-01-15 14:11 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.287 s -4.172
2023-01-15 13:50 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.858 s -1.850
2023-01-15 14:16 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.292 s 0.297
2023-01-15 14:18 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.395 s 0.243
2023-01-15 14:19 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.713 s 0.205
2023-01-15 14:20 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.314 s -0.673
2023-01-15 14:02 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.307 s 1.168
2023-01-15 14:06 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.188
2023-01-15 14:06 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.592 s -0.463
2023-01-15 14:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.281 s -0.107
2023-01-15 14:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.173
2023-01-15 14:11 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.331 s -3.331
2023-01-15 14:14 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.638 s 0.130
2023-01-15 14:14 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s -0.043
2023-01-15 14:05 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.249 s 0.500
2023-01-15 14:08 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.337 s 0.037
2023-01-15 14:08 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.667 s -1.611
2023-01-15 13:58 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.980 s -1.272
2023-01-15 14:00 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.716 s -1.318
2023-01-15 14:04 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s 0.324
2023-01-15 14:05 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.613 s -1.326
2023-01-15 14:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.350 s 0.092
2023-01-15 14:11 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.330 s -2.502
2023-01-15 14:12 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.455 s -2.968
2023-01-15 14:13 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.222
2023-01-15 14:13 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.225
2023-01-15 13:53 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.250 s -1.408
2023-01-15 13:55 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.006 s 0.737
2023-01-15 13:53 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.960 s -0.077
2023-01-15 14:03 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.173 s -0.338
2023-01-15 14:05 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.081 s -0.706
2023-01-15 14:05 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.604 s -0.382
2023-01-15 14:07 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.874 s -0.636
2023-01-15 14:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.335 s 0.064
2023-01-15 14:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.082
2023-01-15 14:08 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.062 s -0.745
2023-01-15 14:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.166
2023-01-15 14:01 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.752 s -1.208
2023-01-15 14:06 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.058
2023-01-15 14:09 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.174
2023-01-15 14:09 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.627 s -1.303
2023-01-15 14:15 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s 0.170
2023-01-15 14:16 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.282 s -0.386
2023-01-15 14:17 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.658 s 0.190
2023-01-15 14:12 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.292 s -1.405
2023-01-15 14:17 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.788 s -0.046
2023-01-15 14:19 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.369 s 0.220
2023-01-15 14:21 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.895 s -2.696
2023-01-15 14:25 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.235
2023-01-15 14:25 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.542 s -0.037
2023-01-15 14:09 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.195
2023-01-15 14:15 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.257
2023-01-15 14:15 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.324
2023-01-15 14:19 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.758 s -0.157
2023-01-15 14:22 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.664 s -4.458
2023-01-15 14:24 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.203
2023-01-15 14:26 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.324
2023-01-15 14:13 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.973 s -2.849
2023-01-15 14:13 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.378 s -4.139
2023-01-15 14:13 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.233
2023-01-15 14:15 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.727 s -0.655
2023-01-15 14:15 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.224
2023-01-15 14:23 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.344 s -4.894
2023-01-15 14:26 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.256 s 0.142
2023-01-15 14:26 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.366 s 0.031
2023-01-15 14:31 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.411 s -3.740
2023-01-15 14:14 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.322 s 0.109
2023-01-15 14:16 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.354 s 0.168
2023-01-15 14:17 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.259
2023-01-15 14:18 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.642 s -0.336
2023-01-15 14:20 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.464 s -2.393
2023-01-15 14:23 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.408 s -4.005
2023-01-15 14:23 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s 0.132
2023-01-15 14:17 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.372 s 0.309
2023-01-15 14:18 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.235
2023-01-15 14:20 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.313
2023-01-15 14:23 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.341 s -1.523
2023-01-15 14:24 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.877 s 0.122
2023-01-15 14:28 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s -0.082
2023-01-15 14:30 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 6.033 s -4.713
2023-01-15 14:13 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.351 s 0.206
2023-01-15 14:15 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.163
2023-01-15 14:16 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.295
2023-01-15 14:18 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.198
2023-01-15 14:25 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.230
2023-01-15 14:31 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.365 s -6.045
2023-01-15 14:31 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.513 s -5.040
2023-01-15 14:20 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.321
2023-01-15 14:23 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.447 s -3.401
2023-01-15 14:25 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.329 s 0.172
2023-01-15 14:25 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.866 s 0.137
2023-01-15 14:29 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.474 s -4.547
2023-01-15 14:15 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.179 s 0.255
2023-01-15 14:16 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.338 s 0.352
2023-01-15 14:18 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.241
2023-01-15 14:21 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.491 s -3.635
2023-01-15 14:25 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.303 s 0.269
2023-01-15 14:26 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.249 s -0.680
2023-01-15 14:28 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.552 s -1.069
2023-01-15 14:19 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.613 s 0.192
2023-01-15 14:22 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 1.019 s -3.724
2023-01-15 14:22 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.330 s -6.506
2023-01-15 14:27 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.917 s -0.643
2023-01-15 14:28 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.470 s -2.534
2023-01-15 14:28 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.656 s -4.874
2023-01-15 14:24 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.762 s -0.312
2023-01-15 14:26 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.128
2023-01-15 14:26 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.495 s -1.954
2023-01-15 14:29 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.984 s -4.599
2023-01-15 14:27 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.696 s -4.109
2023-01-15 14:28 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.122
2023-01-15 14:28 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.332 s 0.001
2023-01-15 14:30 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.347 s -6.369
2023-01-15 14:31 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.460 s -3.493
2023-01-15 14:32 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.575 s -0.820
2023-01-15 14:32 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 1.148 s -3.751
2023-01-15 14:33 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.318
2023-01-15 14:33 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.272
2023-01-15 14:33 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.239
2023-01-15 14:33 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.244
2023-01-15 14:33 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.999 s -0.630
2023-01-15 14:33 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.220
2023-01-15 14:34 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.587 s 0.111
2023-01-15 14:35 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.287
2023-01-15 14:34 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.624 s -0.374
2023-01-15 14:35 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.887 s -0.066
2023-01-15 14:34 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.598 s -0.450
2023-01-15 14:34 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.278
2023-01-15 14:35 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.268
2023-01-15 14:35 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.269
2023-01-15 14:36 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.260
2023-01-15 14:36 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.174
2023-01-15 14:35 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.326 s 0.164
2023-01-15 14:36 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.231
2023-01-15 14:35 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.527 s 0.157
2023-01-15 14:36 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.083 s 0.016
2023-01-15 14:36 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.280
2023-01-15 14:37 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.006 s -0.628
2023-01-15 14:36 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.196
2023-01-15 14:38 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.265
2023-01-15 14:37 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.797 s 0.014
2023-01-15 14:38 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.406 s -0.002
2023-01-15 14:37 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.666 s 0.068
2023-01-15 14:38 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.219
2023-01-15 14:38 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.273
2023-01-15 14:38 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.284
2023-01-15 14:39 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.498 s -1.782
2023-01-15 14:39 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.342 s -0.947
2023-01-15 14:38 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.532 s 0.263
2023-01-15 14:39 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.274 s 0.073
2023-01-15 14:40 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.442 s -0.030
2023-01-15 14:40 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.328 s 0.199
2023-01-15 14:40 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.343 s -0.602
2023-01-15 14:40 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.893 s -0.912
2023-01-15 14:40 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.444 s 0.099
2023-01-15 14:41 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.680 s -2.952
2023-01-15 14:42 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.163
2023-01-15 14:42 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.527 s -3.074
2023-01-15 14:42 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.175
2023-01-15 14:42 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.371 s 0.192
2023-01-15 14:42 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.964 s 0.087
2023-01-15 14:42 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.042
2023-01-15 14:42 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.135
2023-01-15 14:43 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.606 s -0.103
2023-01-15 14:44 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.451 s 0.054
2023-01-15 14:43 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.290 s -1.079
2023-01-15 14:44 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.211
2023-01-15 14:44 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.740 s -1.314
2023-01-15 14:44 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.907 s -1.878
2023-01-15 14:45 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.179 s -1.942
2023-01-15 14:44 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.800 s -0.191
2023-01-15 14:47 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.188 s -3.280
2023-01-15 14:49 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.953 s -1.684
2023-01-15 14:49 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.231
2023-01-15 14:49 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.262 s 0.172
2023-01-15 14:50 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.254
2023-01-15 14:49 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.158
2023-01-15 14:49 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.202 s 0.369
2023-01-15 14:50 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.118
2023-01-15 14:50 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.453 s 0.141
2023-01-15 14:50 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.326 s -0.137
2023-01-15 14:59 JavaScript Iterate Vector uint64Array 0.004 s 0.251
2023-01-15 14:59 JavaScript vectorFromArray numbers 0.016 s 0.063
2023-01-15 14:59 JavaScript Iterate Vector uint16Array 0.002 s 0.704
2023-01-15 14:59 JavaScript Iterate Vector int32Array 0.002 s 0.083
2023-01-15 14:59 JavaScript Iterate Vector numbers 0.002 s 0.810
2023-01-15 14:59 JavaScript vectorFromArray booleans 0.017 s 1.021
2023-01-15 14:59 JavaScript Iterate Vector string 0.128 s -1.216
2023-01-15 14:59 JavaScript Iterate Vector float32Array 0.002 s 0.913
2023-01-15 14:59 JavaScript Iterate Vector float64Array 0.002 s 0.549
2023-01-15 14:59 JavaScript Spread Vector booleans 0.010 s -1.191
2023-01-15 14:59 JavaScript toArray Vector int64Array
2023-01-15 14:59 JavaScript Iterate Vector int64Array 0.004 s 0.179
2023-01-15 14:59 JavaScript Spread Vector uint8Array 0.006 s 0.442
2023-01-15 14:59 JavaScript Spread Vector numbers 0.008 s 0.384
2023-01-15 14:59 JavaScript vectorFromArray dictionary 0.017 s 0.249
2023-01-15 14:59 JavaScript Iterate Vector booleans 0.004 s -1.893
2023-01-15 14:59 JavaScript Iterate Vector uint8Array 0.002 s -0.060
2023-01-15 14:59 JavaScript Iterate Vector uint32Array 0.002 s 0.563
2023-01-15 14:59 JavaScript Iterate Vector int8Array 0.002 s 0.344
2023-01-15 14:59 JavaScript Iterate Vector int16Array 0.002 s 0.516
2023-01-15 14:59 JavaScript Spread Vector uint16Array 0.006 s 0.563
2023-01-15 14:59 JavaScript Iterate Vector dictionary 0.004 s -0.171
2023-01-15 14:59 JavaScript Spread Vector int32Array 0.006 s 0.430
2023-01-15 14:59 JavaScript Spread Vector float32Array 0.008 s 1.927
2023-01-15 14:59 JavaScript toArray Vector uint16Array
2023-01-15 14:59 JavaScript Spread Vector dictionary 0.010 s 0.711
2023-01-15 14:59 JavaScript Spread Vector uint32Array 0.007 s 0.450
2023-01-15 14:59 JavaScript Spread Vector int8Array 0.006 s 0.228
2023-01-15 14:59 JavaScript Spread Vector int16Array 0.006 s 0.770
2023-01-15 14:59 JavaScript toArray Vector uint8Array
2023-01-15 14:59 JavaScript Spread Vector uint64Array 0.012 s 0.020
2023-01-15 14:59 JavaScript Spread Vector string 0.147 s -0.490
2023-01-15 14:59 JavaScript toArray Vector int16Array
2023-01-15 14:59 JavaScript toArray Vector int32Array
2023-01-15 14:59 JavaScript Spread Vector int64Array 0.012 s 0.133
2023-01-15 14:59 JavaScript Spread Vector float64Array 0.008 s 0.730
2023-01-15 14:59 JavaScript toArray Vector uint32Array
2023-01-15 14:59 JavaScript toArray Vector uint64Array
2023-01-15 14:59 JavaScript get Vector int32Array 0.003 s 0.069
2023-01-15 14:59 JavaScript get Vector float64Array 0.002 s 0.131
2023-01-15 14:59 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.682
2023-01-15 14:59 JavaScript toArray Vector float64Array
2023-01-15 14:59 JavaScript toArray Vector booleans 0.010 s -1.203
2023-01-15 14:59 JavaScript toArray Vector dictionary 0.010 s 0.544
2023-01-15 14:59 JavaScript get Vector uint64Array 0.003 s 0.239
2023-01-15 14:59 JavaScript get Vector int8Array 0.003 s 0.142
2023-01-15 14:59 JavaScript get Vector int16Array 0.003 s 0.125
2023-01-15 14:59 JavaScript toArray Vector int8Array
2023-01-15 14:59 JavaScript toArray Vector float32Array
2023-01-15 14:59 JavaScript get Vector uint32Array 0.003 s 0.220
2023-01-15 14:59 JavaScript get Vector booleans 0.002 s -1.306
2023-01-15 14:59 JavaScript toArray Vector numbers
2023-01-15 14:59 JavaScript toArray Vector string 0.145 s 0.030
2023-01-15 14:59 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.586
2023-01-15 14:59 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 14:59 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s 0.307
2023-01-15 14:59 JavaScript get Vector uint8Array 0.003 s 0.143
2023-01-15 14:59 JavaScript get Vector uint16Array 0.003 s 0.145
2023-01-15 14:59 JavaScript get Vector numbers 0.002 s -0.766
2023-01-15 14:59 JavaScript get Vector int64Array 0.003 s 0.116
2023-01-15 14:59 JavaScript get Vector float32Array 0.002 s -1.795
2023-01-15 14:59 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.830
2023-01-15 14:59 JavaScript Parse read recordBatches, tracks 0.000 s -0.461
2023-01-15 14:59 JavaScript Parse write recordBatches, tracks 0.002 s -0.597
2023-01-15 14:59 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.214
2023-01-15 14:59 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.763
2023-01-15 14:59 JavaScript get Vector string 0.124 s 0.607
2023-01-15 14:59 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.118
2023-01-15 14:59 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.052
2023-01-15 14:59 JavaScript get Vector dictionary 0.002 s 0.191
2023-01-15 14:59 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-15 14:59 JavaScript Table tracks, 1,000,000 0.050 s 0.147
2023-01-15 14:59 JavaScript Table tracks, 1,000,000 0.274 s -0.122
2023-01-15 14:59 JavaScript Table 1,000,000, tracks 0.265 s 0.448
2023-01-15 14:59 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.188 s -0.151
2023-01-15 14:59 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-15 14:59 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.390
2023-01-15 14:59 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.761
2023-01-15 14:59 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.146
2023-01-15 14:59 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.397
2023-01-15 14:59 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 1.389
2023-01-15 14:59 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.009
2023-01-15 14:59 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.405
2023-01-15 14:59 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 14:59 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.164
2023-01-15 14:59 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.553
2023-01-15 14:59 JavaScript Table tracks, 1,000,000 0.095 s 0.237
2023-01-15 14:59 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.363