Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-15 14:42 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.935 s 1.519
2022-11-15 14:42 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.064 s 1.162
2022-11-15 14:55 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.487 s 0.353
2022-11-15 14:46 Python dataframe-to-table type_floats 0.011 s -0.528
2022-11-15 14:43 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.119 s 1.043
2022-11-15 14:44 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.546 s 1.709
2022-11-15 14:51 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 85.492 s -0.215
2022-11-15 14:43 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.430 s -0.865
2022-11-15 14:43 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.525 s 2.089
2022-11-15 14:41 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.682 s 0.032
2022-11-15 14:46 Python dataset-filter nyctaxi_2010-01 1.013 s -0.324
2022-11-15 14:46 Python dataframe-to-table chi_traffic_2020_Q1 19.950 s 1.689
2022-11-15 14:41 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.250 s -0.033
2022-11-15 14:46 Python dataframe-to-table type_nested 2.872 s -1.021
2022-11-15 14:46 Python dataframe-to-table type_strings 0.451 s -0.505
2022-11-15 14:46 Python dataframe-to-table type_integers 0.010 s -1.535
2022-11-15 14:46 Python dataframe-to-table type_dict 0.011 s 0.571
2022-11-15 15:16 Python wide-dataframe use_legacy_dataset=false 0.500 s 1.336
2022-11-15 15:26 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.315 s -0.926
2022-11-15 15:26 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.608 s -1.670
2022-11-15 15:06 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.045 s 0.181
2022-11-15 15:16 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.856 s -0.167
2022-11-15 15:06 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.206 s -0.174
2022-11-15 15:09 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.050 s 0.496
2022-11-15 15:15 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.069 s 0.220
2022-11-15 15:26 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.577 s -1.076
2022-11-15 15:06 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.311 s -0.183
2022-11-15 15:08 Python file-read lz4, feather, table, fanniemae_2016Q4 0.827 s -0.270
2022-11-15 15:27 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.818 s 0.802
2022-11-15 15:07 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.339 s -1.258
2022-11-15 15:12 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.038 s -0.084
2022-11-15 15:12 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.009 s 0.074
2022-11-15 15:13 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.897 s -0.372
2022-11-15 15:24 R dataframe-to-table type_dict, R 0.060 s 0.039
2022-11-15 15:26 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.856 s -0.890
2022-11-15 15:07 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.124 s 0.272
2022-11-15 15:07 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.650 s -0.955
2022-11-15 15:16 Python wide-dataframe use_legacy_dataset=true 0.372 s 0.500
2022-11-15 15:24 R dataframe-to-table chi_traffic_2020_Q1, R 4.354 s -0.532
2022-11-15 15:07 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.204 s -0.875
2022-11-15 15:13 Python file-write lz4, feather, table, fanniemae_2016Q4 1.558 s -0.052
2022-11-15 15:24 R dataframe-to-table type_integers, R 0.010 s 0.319
2022-11-15 15:27 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.553 s -0.569
2022-11-15 15:06 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.223 s 0.006
2022-11-15 15:08 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.791 s -0.302
2022-11-15 15:07 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.641 s -1.115
2022-11-15 15:15 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.980 s -0.219
2022-11-15 15:06 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.041 s 0.198
2022-11-15 15:15 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.513 s 1.319
2022-11-15 15:24 R dataframe-to-table type_strings, R 0.537 s 0.854
2022-11-15 15:25 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.333 s -1.043
2022-11-15 15:06 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.663 s 0.142
2022-11-15 15:09 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.361 s 0.329
2022-11-15 15:06 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.123 s 0.809
2022-11-15 15:07 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.509 s -0.496
2022-11-15 15:25 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.588 s -1.104
2022-11-15 15:29 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.479 s 0.669
2022-11-15 15:08 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.975 s -0.795
2022-11-15 15:09 Python file-read lz4, feather, table, nyctaxi_2010-01 0.689 s -0.188
2022-11-15 15:14 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.149 s 0.221
2022-11-15 15:25 R dataframe-to-table type_floats, R 0.013 s 1.180
2022-11-15 15:06 Python dataset-read async=True, nyctaxi_multi_ipc_s3 215.435 s 0.734
2022-11-15 15:28 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.901 s 0.754
2022-11-15 15:07 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.164 s -0.518
2022-11-15 15:26 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.564 s 1.696
2022-11-15 15:07 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.511 s -0.276
2022-11-15 15:08 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.370 s -0.289
2022-11-15 15:25 R dataframe-to-table type_nested, R 0.572 s 0.788
2022-11-15 15:26 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.322 s -0.943
2022-11-15 15:08 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.609 s -0.278
2022-11-15 15:11 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.395 s 0.385
2022-11-15 15:27 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.586 s -1.049
2022-11-15 15:08 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.970 s -0.542
2022-11-15 15:08 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.905 s 0.840
2022-11-15 15:14 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.600 s 0.866
2022-11-15 15:16 Python file-write lz4, feather, table, nyctaxi_2010-01 1.743 s -0.436
2022-11-15 15:08 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.933 s -0.925
2022-11-15 15:08 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.945 s -1.492
2022-11-15 15:10 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.729 s -0.085
2022-11-15 15:14 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.878 s -0.337
2022-11-15 15:15 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.444 s -0.061
2022-11-15 15:27 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.893 s -0.242
2022-11-15 15:31 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.909 s 0.608
2022-11-15 15:30 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.110 s 0.526
2022-11-15 15:26 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.550 s -0.756
2022-11-15 15:27 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.700
2022-11-15 15:27 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.899 s -0.447
2022-11-15 15:33 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.536 s 0.669
2022-11-15 15:34 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.956 s -0.496
2022-11-15 15:35 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.925 s 0.456
2022-11-15 15:36 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.490 s 0.947
2022-11-15 15:37 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.386 s 0.473
2022-11-15 15:38 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.988 s 1.305
2022-11-15 15:45 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.564 s -1.138
2022-11-15 15:47 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.735
2022-11-15 15:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.297 s 0.475
2022-11-15 15:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s -0.663
2022-11-15 15:41 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.908 s 0.727
2022-11-15 15:45 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.577 s 0.465
2022-11-15 15:56 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.927
2022-11-15 15:39 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.944 s 0.756
2022-11-15 15:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.596 s -1.804
2022-11-15 15:50 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.641
2022-11-15 16:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.248 s 0.507
2022-11-15 16:04 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.283
2022-11-15 15:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s -0.261
2022-11-15 15:47 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.343 s -0.042
2022-11-15 15:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.426 s 0.204
2022-11-15 15:48 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.266 s -0.714
2022-11-15 15:51 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.298
2022-11-15 15:53 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s 0.177
2022-11-15 15:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.604 s 1.060
2022-11-15 15:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.009 s -0.901
2022-11-15 16:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.825 s -1.021
2022-11-15 15:42 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.307 s 0.041
2022-11-15 15:45 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.241 s 1.560
2022-11-15 15:47 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.777
2022-11-15 15:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.651 s 0.909
2022-11-15 15:50 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.265 s 0.153
2022-11-15 15:53 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.391
2022-11-15 15:53 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.427
2022-11-15 15:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.797
2022-11-15 15:58 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s 0.372
2022-11-15 15:47 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.332 s 0.406
2022-11-15 15:50 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.598
2022-11-15 15:53 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.912
2022-11-15 15:55 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.340 s 0.322
2022-11-15 15:56 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s 0.213
2022-11-15 15:59 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.112 s -0.217
2022-11-15 15:48 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.405
2022-11-15 15:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.615 s -0.587
2022-11-15 16:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.330 s 0.695
2022-11-15 16:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s 0.073
2022-11-15 15:44 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 0.296
2022-11-15 15:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.231
2022-11-15 15:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.281 s -0.545
2022-11-15 15:48 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.468
2022-11-15 16:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.902 s -1.076
2022-11-15 15:44 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.233 s -1.645
2022-11-15 15:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.198 s -0.704
2022-11-15 15:50 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.536
2022-11-15 15:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.773 s -0.400
2022-11-15 16:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.648 s -0.019
2022-11-15 16:01 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 0.917
2022-11-15 16:04 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.242 s -1.384
2022-11-15 16:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s -0.137
2022-11-15 15:43 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.321 s -1.175
2022-11-15 15:50 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.228 s 0.632
2022-11-15 15:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.332 s -0.155
2022-11-15 16:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.248 s -0.126
2022-11-15 15:45 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.562 s -0.638
2022-11-15 15:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.049 s -0.364
2022-11-15 15:52 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.312 s 0.880
2022-11-15 15:53 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.155 s 0.890
2022-11-15 15:58 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.437 s 0.396
2022-11-15 16:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.865 s -0.156
2022-11-15 15:48 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.822
2022-11-15 15:54 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.280 s 0.652
2022-11-15 16:01 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.738
2022-11-15 15:50 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.346
2022-11-15 15:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.504 s -0.270
2022-11-15 15:55 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.281 s 0.521
2022-11-15 15:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 1.100
2022-11-15 15:58 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.291 s 0.929
2022-11-15 15:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.944 s 1.094
2022-11-15 16:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.317 s 0.203
2022-11-15 16:01 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.256 s 0.536
2022-11-15 15:40 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.723 s 1.165
2022-11-15 15:45 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.197 s -0.845
2022-11-15 15:50 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.529 s -0.739
2022-11-15 15:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s -0.547
2022-11-15 15:57 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.713 s -1.000
2022-11-15 16:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.293 s 0.459
2022-11-15 16:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.470 s -0.863
2022-11-15 15:45 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.471
2022-11-15 15:47 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.324
2022-11-15 15:49 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.582 s -0.153
2022-11-15 15:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.913 s -1.327
2022-11-15 15:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.175 s -0.324
2022-11-15 15:56 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.324 s 1.054
2022-11-15 16:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s -0.002
2022-11-15 16:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.588 s -1.300
2022-11-15 16:06 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.205
2022-11-15 15:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.272 s -0.720
2022-11-15 15:47 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.716 s -0.382
2022-11-15 15:57 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.418 s 0.592
2022-11-15 16:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.728 s -0.321
2022-11-15 15:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.921 s -0.793
2022-11-15 15:51 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 1.007
2022-11-15 15:51 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.259 s 1.344
2022-11-15 15:59 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.763 s 0.100
2022-11-15 16:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.354 s 0.209
2022-11-15 16:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.924 s -0.702
2022-11-15 15:52 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.629 s 0.596
2022-11-15 15:58 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.781
2022-11-15 16:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.158 s -0.305
2022-11-15 15:53 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.708 s -0.300
2022-11-15 15:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.367 s -0.422
2022-11-15 15:58 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.747 s -0.575
2022-11-15 15:58 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s -0.172
2022-11-15 16:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.230 s -5.527
2022-11-15 16:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.336 s -0.507
2022-11-15 16:06 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.148
2022-11-15 16:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 1.150
2022-11-15 16:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.325 s 0.653
2022-11-15 16:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.861 s -0.062
2022-11-15 16:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.291
2022-11-15 16:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.320 s 2.167
2022-11-15 16:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.308 s -2.321
2022-11-15 16:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.409 s 0.085
2022-11-15 16:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.291 s 1.017
2022-11-15 16:06 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.254 s 0.331
2022-11-15 16:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.427 s -0.639
2022-11-15 16:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.535 s -2.539
2022-11-15 16:08 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.277 s 0.296
2022-11-15 16:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.469 s 0.555
2022-11-15 16:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s -0.678
2022-11-15 16:08 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 0.520
2022-11-15 16:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.320 s 1.245
2022-11-15 16:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.721 s 0.384
2022-11-15 16:08 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.391
2022-11-15 16:08 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.584
2022-11-15 16:11 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.261 s 0.461
2022-11-15 16:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.624 s -1.115
2022-11-15 16:08 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.244 s 1.047
2022-11-15 16:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.592 s 0.547
2022-11-15 16:09 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.806
2022-11-15 16:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.215 s 0.585
2022-11-15 16:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.047 s 0.235
2022-11-15 16:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.235 s -0.514
2022-11-15 16:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.279 s 0.822
2022-11-15 16:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.518 s 1.746
2022-11-15 16:11 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.312 s 1.490
2022-11-15 16:11 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.139
2022-11-15 16:11 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.374
2022-11-15 16:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.890 s -0.372
2022-11-15 16:12 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.952 s 0.095
2022-11-15 16:11 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.305
2022-11-15 16:12 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.908 s -1.997
2022-11-15 16:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.664 s -1.097
2022-11-15 16:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.543 s -0.966
2022-11-15 16:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.205
2022-11-15 16:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.259 s 0.937
2022-11-15 16:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.254
2022-11-15 16:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.237 s 0.290
2022-11-15 16:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.411 s -1.902
2022-11-15 16:14 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.215 s 0.351
2022-11-15 16:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.519 s -0.954
2022-11-15 16:14 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.263 s -0.560
2022-11-15 16:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.866 s -0.679
2022-11-15 16:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.316 s -0.405
2022-11-15 16:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.724 s -1.703
2022-11-15 16:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.428 s -0.632
2022-11-15 16:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.433 s -0.587
2022-11-15 16:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.307 s -0.823
2022-11-15 16:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.418 s -0.615
2022-11-15 16:17 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.317 s 0.063
2022-11-15 16:17 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.066 s -0.380
2022-11-15 16:17 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.750
2022-11-15 16:17 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.366 s 0.286
2022-11-15 16:17 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.256 s 1.208
2022-11-15 16:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.939 s -2.183
2022-11-15 16:24 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s 0.076
2022-11-15 16:24 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.974 s -1.067
2022-11-15 16:33 JavaScript Iterate Vector uint16Array 0.002 s 0.272
2022-11-15 16:33 JavaScript Iterate Vector uint64Array 0.004 s 0.117
2022-11-15 16:19 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.782 s -0.595
2022-11-15 16:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.137 s -0.723
2022-11-15 16:33 JavaScript vectorFromArray dictionary 0.017 s -0.084
2022-11-15 16:17 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.467
2022-11-15 16:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.593
2022-11-15 16:33 JavaScript toArray Vector int64Array
2022-11-15 16:34 JavaScript get Vector int64Array 0.003 s 0.050
2022-11-15 16:34 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-15 16:17 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.961 s -2.133
2022-11-15 16:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.880 s -0.141
2022-11-15 16:19 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.441 s -0.730
2022-11-15 16:24 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.379
2022-11-15 16:33 JavaScript vectorFromArray numbers 0.016 s -0.570
2022-11-15 16:33 JavaScript toArray Vector uint16Array
2022-11-15 16:18 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.385 s -1.075
2022-11-15 16:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.252 s -2.015
2022-11-15 16:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.294 s 0.105
2022-11-15 16:33 JavaScript toArray Vector uint64Array
2022-11-15 16:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.445 s 0.094
2022-11-15 16:33 JavaScript toArray Vector int32Array
2022-11-15 16:33 JavaScript toArray Vector numbers
2022-11-15 16:33 JavaScript toArray Vector dictionary 0.010 s 1.016
2022-11-15 16:34 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.188 s 0.001
2022-11-15 16:24 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.383
2022-11-15 16:24 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.268
2022-11-15 16:33 JavaScript Iterate Vector booleans 0.004 s -2.046
2022-11-15 16:33 JavaScript Spread Vector uint16Array 0.006 s 0.224
2022-11-15 16:34 JavaScript Table tracks, 1,000,000 0.094 s 0.723
2022-11-15 16:33 JavaScript get Vector uint32Array 0.003 s -0.744
2022-11-15 16:34 JavaScript Parse read recordBatches, tracks 0.000 s 0.736
2022-11-15 16:34 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.041 s -4.692
2022-11-15 16:34 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.586
2022-11-15 16:24 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s -0.073
2022-11-15 16:34 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.088
2022-11-15 16:34 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.279
2022-11-15 16:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.225
2022-11-15 16:33 JavaScript get Vector int16Array 0.003 s -0.754
2022-11-15 16:34 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.575
2022-11-15 16:34 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.222
2022-11-15 16:34 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.420
2022-11-15 16:33 JavaScript vectorFromArray booleans 0.018 s -0.079
2022-11-15 16:33 JavaScript Iterate Vector uint8Array 0.002 s 0.158
2022-11-15 16:33 JavaScript Iterate Vector dictionary 0.004 s -0.151
2022-11-15 16:33 JavaScript Spread Vector uint8Array 0.006 s 0.146
2022-11-15 16:33 JavaScript Spread Vector uint32Array 0.007 s 0.116
2022-11-15 16:33 JavaScript Spread Vector int8Array 0.007 s 0.031
2022-11-15 16:33 JavaScript Iterate Vector uint32Array 0.002 s 0.297
2022-11-15 16:33 JavaScript Iterate Vector int8Array 0.002 s 0.447
2022-11-15 16:33 JavaScript Iterate Vector int32Array 0.002 s 0.422
2022-11-15 16:33 JavaScript Iterate Vector float32Array 0.002 s 0.936
2022-11-15 16:33 JavaScript Iterate Vector numbers 0.002 s 0.781
2022-11-15 16:33 JavaScript Spread Vector numbers 0.008 s 0.151
2022-11-15 16:33 JavaScript Iterate Vector int16Array 0.002 s 0.179
2022-11-15 16:33 JavaScript Iterate Vector int64Array 0.004 s -1.162
2022-11-15 16:33 JavaScript Iterate Vector float64Array 0.002 s 0.794
2022-11-15 16:33 JavaScript Iterate Vector string 0.125 s 0.882
2022-11-15 16:33 JavaScript Spread Vector uint64Array 0.012 s 0.012
2022-11-15 16:33 JavaScript Spread Vector int64Array 0.012 s -0.229
2022-11-15 16:33 JavaScript Spread Vector float64Array 0.008 s 0.222
2022-11-15 16:33 JavaScript Spread Vector booleans 0.010 s 1.359
2022-11-15 16:33 JavaScript Spread Vector string 0.145 s 0.397
2022-11-15 16:33 JavaScript Spread Vector int16Array 0.006 s 0.198
2022-11-15 16:33 JavaScript get Vector uint16Array 0.003 s 0.564
2022-11-15 16:34 JavaScript get Vector booleans 0.002 s -0.806
2022-11-15 16:34 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -2.027
2022-11-15 16:34 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.306
2022-11-15 16:34 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.031 s 0.212
2022-11-15 16:33 JavaScript Spread Vector int32Array 0.006 s 0.200
2022-11-15 16:33 JavaScript Spread Vector float32Array 0.008 s 0.098
2022-11-15 16:33 JavaScript Spread Vector dictionary 0.010 s 0.898
2022-11-15 16:33 JavaScript toArray Vector uint8Array
2022-11-15 16:33 JavaScript toArray Vector uint32Array
2022-11-15 16:33 JavaScript toArray Vector int8Array
2022-11-15 16:33 JavaScript toArray Vector int16Array
2022-11-15 16:34 JavaScript get Vector float64Array 0.002 s 0.127
2022-11-15 16:34 JavaScript Parse write recordBatches, tracks 0.002 s 0.432
2022-11-15 16:33 JavaScript toArray Vector float32Array
2022-11-15 16:34 JavaScript get Vector float32Array 0.002 s 0.167
2022-11-15 16:34 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.991
2022-11-15 16:34 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-15 16:34 JavaScript Table tracks, 1,000,000 0.050 s 0.077
2022-11-15 16:34 JavaScript Table 1,000,000, tracks 0.303 s -1.494
2022-11-15 16:34 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.031 s 0.282
2022-11-15 16:33 JavaScript toArray Vector float64Array
2022-11-15 16:33 JavaScript toArray Vector booleans 0.010 s 0.868
2022-11-15 16:33 JavaScript toArray Vector string 0.144 s 0.749
2022-11-15 16:33 JavaScript get Vector uint64Array 0.003 s -0.636
2022-11-15 16:34 JavaScript get Vector string 0.124 s 0.577
2022-11-15 16:34 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-15 16:34 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.581
2022-11-15 16:34 JavaScript Table tracks, 1,000,000 0.319 s -2.327
2022-11-15 16:33 JavaScript get Vector uint8Array 0.003 s -0.024
2022-11-15 16:34 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -1.234
2022-11-15 16:34 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.016
2022-11-15 16:33 JavaScript get Vector int8Array 0.003 s -0.272
2022-11-15 16:34 JavaScript get Vector int32Array 0.003 s 0.086
2022-11-15 16:34 JavaScript get Vector numbers 0.002 s 0.079
2022-11-15 16:34 JavaScript get Vector dictionary 0.002 s -0.253
2022-11-15 16:34 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-15 16:34 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.320
2022-11-15 16:34 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.624
2022-11-15 16:34 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.659