Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-20 12:10 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.787 s -0.338
2023-01-20 12:10 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.236 s 0.234
2023-01-20 12:11 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.211 s -1.156
2023-01-20 12:12 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.435 s 0.417
2023-01-20 12:12 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.127 s 0.109
2023-01-20 12:12 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.177 s -1.135
2023-01-20 12:13 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.399 s 1.016
2023-01-20 12:13 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.339 s 1.009
2023-01-20 12:15 Python dataframe-to-table type_integers 0.010 s 1.619
2023-01-20 12:15 Python dataframe-to-table type_floats 0.010 s 0.212
2023-01-20 12:15 Python dataframe-to-table type_dict 0.011 s 1.265
2023-01-20 12:15 Python dataframe-to-table chi_traffic_2020_Q1 20.665 s 2.670
2023-01-20 12:16 Python dataframe-to-table type_nested 2.958 s 0.463
2023-01-20 12:15 Python dataframe-to-table type_strings 0.430 s -0.819
2023-01-20 12:16 Python dataset-filter nyctaxi_2010-01 1.032 s -0.341
2023-01-20 12:36 Python dataset-read async=True, nyctaxi_multi_ipc_s3 226.990 s -0.327
2023-01-20 12:36 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.041 s 0.200
2023-01-20 12:24 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.231 s 0.399
2023-01-20 12:36 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.183 s -0.838
2023-01-20 12:36 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.231 s 0.061
2023-01-20 12:20 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 78.870 s 0.296
2023-01-20 12:36 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.200 s 0.051
2023-01-20 12:36 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.237 s 0.692
2023-01-20 12:36 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.291 s 0.251
2023-01-20 12:36 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.035 s 0.223
2023-01-20 12:37 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.192
2023-01-20 12:37 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.732 s 1.859
2023-01-20 12:37 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.144 s -0.167
2023-01-20 12:37 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.905 s 1.277
2023-01-20 12:37 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.217
2023-01-20 12:36 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.644 s 0.274
2023-01-20 12:36 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.217 s -0.525
2023-01-20 12:37 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.304 s 1.086
2023-01-20 12:37 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.686
2023-01-20 12:37 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.235
2023-01-20 12:38 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.275 s 1.861
2023-01-20 12:41 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.153 s -1.398
2023-01-20 12:41 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.068 s 0.947
2023-01-20 12:42 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.153 s -0.968
2023-01-20 12:49 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.348
2023-01-20 12:49 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.283 s 0.458
2023-01-20 12:49 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.477 s 1.849
2023-01-20 12:49 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.197
2023-01-20 12:50 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.836 s 1.863
2023-01-20 12:50 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.401
2023-01-20 12:50 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.283
2023-01-20 12:50 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.002 s 0.557
2023-01-20 12:51 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.396 s 1.878
2023-01-20 13:04 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.527 s -1.195
2023-01-20 13:11 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.380 s -0.407
2023-01-20 12:54 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.406 s 0.473
2023-01-20 13:04 Python file-read lz4, feather, table, fanniemae_2016Q4 0.805 s 0.500
2023-01-20 13:05 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.940 s 0.243
2023-01-20 13:09 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.233 s 0.146
2023-01-20 12:54 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.444 s 0.525
2023-01-20 13:03 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.339 s 1.861
2023-01-20 13:04 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.524 s -0.892
2023-01-20 13:05 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.987 s -0.020
2023-01-20 13:05 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.989 s -0.091
2023-01-20 13:05 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.579 s 0.332
2023-01-20 13:05 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.311 s 0.544
2023-01-20 13:10 Python file-write lz4, feather, table, fanniemae_2016Q4 1.854 s -0.119
2023-01-20 13:04 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.311 s 0.293
2023-01-20 13:24 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.577 s -0.620
2023-01-20 13:25 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s 0.157
2023-01-20 13:25 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.577 s 0.196
2023-01-20 13:04 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.717 s 0.048
2023-01-20 13:05 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.295 s -1.547
2023-01-20 13:12 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.735 s -0.091
2023-01-20 13:22 R dataframe-to-table type_dict, R 0.060 s -0.577
2023-01-20 13:25 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.902 s 0.204
2023-01-20 12:55 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.407 s 1.038
2023-01-20 13:05 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.949 s -0.182
2023-01-20 13:05 Python file-read lz4, feather, table, nyctaxi_2010-01 0.671 s 0.316
2023-01-20 13:12 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.234 s -0.167
2023-01-20 13:03 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.647 s 0.029
2023-01-20 13:08 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.746 s 0.086
2023-01-20 13:22 R dataframe-to-table type_floats, R 0.013 s -0.127
2023-01-20 13:24 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.594 s 0.187
2023-01-20 13:26 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.716 s 0.023
2023-01-20 13:05 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.945 s -0.085
2023-01-20 13:07 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.132 s -0.149
2023-01-20 13:09 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.385 s -0.289
2023-01-20 13:10 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.423 s -0.500
2023-01-20 13:11 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.836 s -0.012
2023-01-20 13:22 R dataframe-to-table type_strings, R 0.535 s -0.076
2023-01-20 13:22 R dataframe-to-table type_integers, R 0.010 s -0.063
2023-01-20 13:23 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.601 s -1.496
2023-01-20 13:23 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.586 s -0.752
2023-01-20 13:25 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.817 s 0.212
2023-01-20 13:04 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.626 s 0.116
2023-01-20 13:06 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.596 s -0.207
2023-01-20 13:12 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.203 s -0.490
2023-01-20 13:22 R dataframe-to-table type_nested, R 0.574 s -0.058
2023-01-20 13:23 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.349 s -1.662
2023-01-20 13:24 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.857 s 0.169
2023-01-20 13:25 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.929 s -0.848
2023-01-20 13:10 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.911 s -0.199
2023-01-20 13:13 Python wide-dataframe use_legacy_dataset=false 0.515 s 0.211
2023-01-20 13:23 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.342 s -1.308
2023-01-20 13:12 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.787 s -0.403
2023-01-20 13:13 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.211 s -0.238
2023-01-20 13:13 Python wide-dataframe use_legacy_dataset=true 0.378 s 0.064
2023-01-20 13:24 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.572 s 0.126
2023-01-20 13:24 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.928 s -0.614
2023-01-20 13:13 Python file-write lz4, feather, table, nyctaxi_2010-01 1.782 s -0.157
2023-01-20 13:23 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.223
2023-01-20 13:24 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.580 s -0.702
2023-01-20 13:21 R dataframe-to-table chi_traffic_2020_Q1, R 4.378 s -0.694
2023-01-20 13:28 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.640 s 0.207
2023-01-20 13:29 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.130 s 0.034
2023-01-20 13:31 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.960 s -0.105
2023-01-20 13:31 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.100 s 0.196
2023-01-20 13:33 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.012 s 0.454
2023-01-20 13:33 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.493 s -0.147
2023-01-20 13:35 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.492 s -0.121
2023-01-20 13:36 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.935 s 0.118
2023-01-20 13:37 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.842 s -0.720
2023-01-20 13:38 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.653 s 0.241
2023-01-20 13:39 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.726 s -0.004
2023-01-20 13:40 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.311 s -0.216
2023-01-20 13:41 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.188 s -0.836
2023-01-20 13:42 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s 0.178
2023-01-20 13:43 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.081 s -0.398
2023-01-20 13:43 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.572 s -0.649
2023-01-20 13:43 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.613 s -1.189
2023-01-20 13:44 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.248 s 0.007
2023-01-20 13:43 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.253 s -0.173
2023-01-20 13:43 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.590 s 0.825
2023-01-20 13:43 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.208 s -0.292
2023-01-20 13:44 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.207 s -0.115
2023-01-20 13:44 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.600 s -0.863
2023-01-20 13:44 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.291 s -0.106
2023-01-20 13:44 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.281 s -0.579
2023-01-20 13:45 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.841 s -0.302
2023-01-20 13:45 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s -0.645
2023-01-20 13:45 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.295 s -4.622
2023-01-20 13:45 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.349 s -1.596
2023-01-20 13:46 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.364 s -0.861
2023-01-20 13:45 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.305 s -1.492
2023-01-20 13:46 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.353 s -1.286
2023-01-20 13:46 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.681 s -1.589
2023-01-20 13:46 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.445 s -0.498
2023-01-20 13:47 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.278 s -0.498
2023-01-20 13:46 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.240 s -1.397
2023-01-20 13:47 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.312 s -0.105
2023-01-20 13:46 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.084 s -1.098
2023-01-20 13:47 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.244 s -0.517
2023-01-20 13:47 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.313 s -0.979
2023-01-20 13:48 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.896 s -0.030
2023-01-20 13:47 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.593 s -0.110
2023-01-20 13:48 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.204 s -0.093
2023-01-20 13:48 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.527 s 0.094
2023-01-20 13:48 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.239 s 0.055
2023-01-20 13:48 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.206 s -0.025
2023-01-20 13:49 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.335 s -0.030
2023-01-20 13:49 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.248 s 0.001
2023-01-20 13:50 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.272 s -4.628
2023-01-20 13:49 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.276 s -0.418
2023-01-20 13:49 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.914 s -0.111
2023-01-20 13:50 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.214 s -0.768
2023-01-20 13:50 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.276 s -1.439
2023-01-20 13:50 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.325 s -1.362
2023-01-20 13:50 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.363 s -0.366
2023-01-20 13:50 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.327 s -0.867
2023-01-20 13:52 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.217 s -0.636
2023-01-20 13:51 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.653 s -0.752
2023-01-20 13:51 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.642 s -0.622
2023-01-20 13:51 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.787 s -1.003
2023-01-20 13:52 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.184 s -0.789
2023-01-20 13:51 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.167 s -0.440
2023-01-20 13:52 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.166 s -0.299
2023-01-20 13:52 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.516 s -0.472
2023-01-20 13:52 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.250 s -0.534
2023-01-20 13:53 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.356 s -0.249
2023-01-20 13:53 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.239 s 0.321
2023-01-20 13:53 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.304 s -0.498
2023-01-20 13:53 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.352 s -0.141
2023-01-20 13:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.610 s 0.093
2023-01-20 13:56 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.748 s 0.088
2023-01-20 14:01 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.314 s -0.348
2023-01-20 14:02 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.247 s -2.567
2023-01-20 14:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.507 s 0.085
2023-01-20 14:01 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.239 s -0.502
2023-01-20 14:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.868 s 0.056
2023-01-20 14:04 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.194 s -0.511
2023-01-20 13:58 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.977 s -1.246
2023-01-20 13:59 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.349 s -7.540
2023-01-20 14:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.919 s -5.065
2023-01-20 13:54 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.677 s -0.261
2023-01-20 13:55 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.360 s -1.235
2023-01-20 13:57 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.453 s -1.133
2023-01-20 14:08 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.293 s 0.051
2023-01-20 14:11 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.336 s -0.092
2023-01-20 14:13 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.908 s 0.078
2023-01-20 13:57 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.283 s -0.622
2023-01-20 13:57 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.308 s -0.969
2023-01-20 13:57 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.778 s -0.267
2023-01-20 14:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.734 s 0.105
2023-01-20 14:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.545 s -3.562
2023-01-20 14:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.307 s -2.526
2023-01-20 14:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.450 s -0.362
2023-01-20 14:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.251 s -0.169
2023-01-20 14:11 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.283 s -0.110
2023-01-20 14:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.202 s -0.259
2023-01-20 13:53 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.306 s -0.582
2023-01-20 13:53 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.388 s -0.192
2023-01-20 13:55 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.444 s -0.495
2023-01-20 13:56 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.633 s -2.070
2023-01-20 13:59 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.482 s -6.517
2023-01-20 14:01 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.219 s -0.449
2023-01-20 14:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.433 s -0.253
2023-01-20 14:06 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.280 s -0.070
2023-01-20 14:08 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.218 s -0.016
2023-01-20 14:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.338 s -0.487
2023-01-20 14:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.682 s -0.834
2023-01-20 14:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.250 s 0.039
2023-01-20 14:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.419 s -0.706
2023-01-20 14:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.803 s -9.093
2023-01-20 14:01 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.339 s -0.990
2023-01-20 14:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.705 s -1.189
2023-01-20 14:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.246 s -0.245
2023-01-20 14:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.872 s -0.254
2023-01-20 14:06 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.225 s -0.123
2023-01-20 14:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.595 s -0.032
2023-01-20 14:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.590 s 0.047
2023-01-20 14:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.495 s -4.048
2023-01-20 14:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.275 s -1.259
2023-01-20 14:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.387 s -0.836
2023-01-20 13:55 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.353 s -1.091
2023-01-20 13:57 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.336 s -0.313
2023-01-20 13:57 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.383 s -0.216
2023-01-20 14:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.549 s -0.498
2023-01-20 14:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.941 s -0.667
2023-01-20 14:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.344 s -1.319
2023-01-20 14:06 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.255 s -0.314
2023-01-20 14:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.112 s -0.022
2023-01-20 14:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.217 s -0.207
2023-01-20 14:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.275 s -1.132
2023-01-20 13:55 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.411 s -0.371
2023-01-20 13:55 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.390 s -1.325
2023-01-20 13:56 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.730 s -0.382
2023-01-20 13:58 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.145 s -0.139
2023-01-20 13:58 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.311 s -0.290
2023-01-20 14:04 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.558 s -0.417
2023-01-20 14:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.581 s -0.465
2023-01-20 14:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.296 s -0.116
2023-01-20 14:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.888 s -0.034
2023-01-20 14:11 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.232 s -0.332
2023-01-20 14:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.275 s -0.515
2023-01-20 14:12 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.037 s -0.898
2023-01-20 13:54 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.363 s -0.429
2023-01-20 13:54 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.800 s -0.945
2023-01-20 13:58 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.271 s -1.348
2023-01-20 13:59 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.419 s -16.912
2023-01-20 14:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.314 s -1.213
2023-01-20 14:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.377 s -0.426
2023-01-20 14:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.506 s -1.449
2023-01-20 14:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.453 s -1.084
2023-01-20 14:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.275 s -0.052
2023-01-20 14:17 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.670 s -1.134
2023-01-20 14:19 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.069 s 0.087
2023-01-20 14:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.907 s -1.054
2023-01-20 14:01 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.272 s -0.363
2023-01-20 14:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.622 s -1.131
2023-01-20 14:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.249 s -0.045
2023-01-20 14:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.465 s -0.872
2023-01-20 14:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.756 s -2.200
2023-01-20 14:21 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.199 s -1.404
2023-01-20 14:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.213 s -0.434
2023-01-20 14:35 JavaScript Iterate Vector numbers 0.002 s -1.158
2023-01-20 14:35 JavaScript Spread Vector int8Array 0.006 s 0.398
2023-01-20 14:35 JavaScript toArray Vector uint32Array
2023-01-20 14:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.346 s -0.166
2023-01-20 14:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.036 s -0.310
2023-01-20 14:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.203 s -0.094
2023-01-20 14:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.536 s 0.027
2023-01-20 14:11 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.236 s -0.327
2023-01-20 14:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.253 s -0.164
2023-01-20 14:26 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.470 s -0.770
2023-01-20 14:35 JavaScript Iterate Vector float64Array 0.002 s -1.119
2023-01-20 14:35 JavaScript Spread Vector int16Array 0.007 s 0.037
2023-01-20 14:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.949 s -0.114
2023-01-20 14:08 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.216 s -0.048
2023-01-20 14:08 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.261 s 0.060
2023-01-20 14:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.622 s -0.176
2023-01-20 14:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.230 s -0.201
2023-01-20 14:14 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.547 s -0.090
2023-01-20 14:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.450 s -3.891
2023-01-20 14:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.337 s -0.636
2023-01-20 14:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.995 s -0.786
2023-01-20 14:25 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.163 s -1.206
2023-01-20 14:35 JavaScript Iterate Vector uint64Array 0.004 s 0.406
2023-01-20 14:35 JavaScript toArray Vector string 0.145 s 0.113
2023-01-20 14:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.478 s -0.711
2023-01-20 14:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.480 s -1.473
2023-01-20 14:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.236 s -0.533
2023-01-20 14:26 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.316 s -0.718
2023-01-20 14:35 JavaScript vectorFromArray booleans 0.018 s -0.329
2023-01-20 14:35 JavaScript Iterate Vector int32Array 0.002 s -0.798
2023-01-20 14:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.915 s -3.231
2023-01-20 14:19 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.621 s -2.117
2023-01-20 14:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.206 s -0.489
2023-01-20 14:35 JavaScript Spread Vector uint32Array 0.007 s 0.575
2023-01-20 14:35 JavaScript get Vector int8Array 0.003 s 1.003
2023-01-20 14:35 JavaScript get Vector int32Array 0.002 s 1.579
2023-01-20 14:15 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.557 s -2.682
2023-01-20 14:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.421 s -2.667
2023-01-20 14:23 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.887 s 0.120
2023-01-20 14:35 JavaScript Iterate Vector uint32Array 0.002 s -1.539
2023-01-20 14:35 JavaScript Spread Vector uint8Array 0.006 s 0.396
2023-01-20 14:35 JavaScript toArray Vector float32Array
2023-01-20 14:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.337 s -3.963
2023-01-20 14:16 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.571 s -5.982
2023-01-20 14:16 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.353 s -0.585
2023-01-20 14:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.306 s -1.580
2023-01-20 14:35 JavaScript Iterate Vector uint8Array 0.002 s 0.623
2023-01-20 14:35 JavaScript Iterate Vector int8Array 0.002 s 0.577
2023-01-20 14:35 JavaScript Spread Vector dictionary 0.010 s 0.779
2023-01-20 14:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.272 s -0.205
2023-01-20 14:26 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.360 s -0.411
2023-01-20 14:34 JavaScript vectorFromArray numbers 0.016 s 0.364
2023-01-20 14:35 JavaScript vectorFromArray dictionary 0.016 s 1.365
2023-01-20 14:35 JavaScript Iterate Vector uint16Array 0.002 s -0.307
2023-01-20 14:35 JavaScript Iterate Vector int64Array 0.004 s 0.536
2023-01-20 14:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.824 s -1.164
2023-01-20 14:35 JavaScript Iterate Vector string 0.126 s 0.276
2023-01-20 14:35 JavaScript Spread Vector uint16Array 0.006 s 0.288
2023-01-20 14:35 JavaScript toArray Vector uint64Array
2023-01-20 14:35 JavaScript toArray Vector int16Array
2023-01-20 14:35 JavaScript Iterate Vector int16Array 0.002 s -0.662
2023-01-20 14:35 JavaScript Spread Vector uint64Array 0.012 s -0.161
2023-01-20 14:35 JavaScript Spread Vector booleans 0.010 s -0.342
2023-01-20 14:35 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-20 14:35 JavaScript Iterate Vector float32Array 0.002 s 1.092
2023-01-20 14:35 JavaScript Iterate Vector dictionary 0.004 s 0.352
2023-01-20 14:35 JavaScript Spread Vector int32Array 0.006 s 0.708
2023-01-20 14:35 JavaScript toArray Vector uint8Array
2023-01-20 14:35 JavaScript toArray Vector int8Array
2023-01-20 14:35 JavaScript toArray Vector int32Array
2023-01-20 14:35 JavaScript Iterate Vector booleans 0.004 s -0.553
2023-01-20 14:35 JavaScript toArray Vector float64Array
2023-01-20 14:35 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.068
2023-01-20 14:35 JavaScript Spread Vector int64Array 0.012 s 0.263
2023-01-20 14:35 JavaScript Spread Vector float64Array 0.008 s 0.593
2023-01-20 14:35 JavaScript Spread Vector string 0.146 s -0.343
2023-01-20 14:35 JavaScript toArray Vector uint16Array
2023-01-20 14:35 JavaScript get Vector int16Array 0.003 s 1.439
2023-01-20 14:35 JavaScript get Vector float64Array 0.002 s -0.611
2023-01-20 14:35 JavaScript Table 1,000,000, tracks 0.272 s 0.170
2023-01-20 14:35 JavaScript Spread Vector float32Array 0.008 s 0.337
2023-01-20 14:35 JavaScript Spread Vector numbers 0.008 s 0.542
2023-01-20 14:35 JavaScript get Vector float32Array 0.002 s 0.704
2023-01-20 14:35 JavaScript Parse read recordBatches, tracks 0.000 s -2.501
2023-01-20 14:35 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.536
2023-01-20 14:35 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.092
2023-01-20 14:35 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.054
2023-01-20 14:35 JavaScript toArray Vector int64Array
2023-01-20 14:35 JavaScript toArray Vector booleans 0.010 s 0.103
2023-01-20 14:35 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.524
2023-01-20 14:35 JavaScript Table tracks, 1,000,000 0.266 s 0.181
2023-01-20 14:35 JavaScript toArray Vector numbers
2023-01-20 14:35 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.515
2023-01-20 14:35 JavaScript toArray Vector dictionary 0.010 s 0.612
2023-01-20 14:35 JavaScript get Vector uint8Array 0.003 s 1.400
2023-01-20 14:35 JavaScript get Vector uint32Array 0.003 s 1.318
2023-01-20 14:35 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.218
2023-01-20 14:35 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.655
2023-01-20 14:35 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.462
2023-01-20 14:35 JavaScript get Vector uint16Array 0.003 s 1.006
2023-01-20 14:35 JavaScript get Vector uint64Array 0.003 s 1.420
2023-01-20 14:35 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-20 14:35 JavaScript get Vector int64Array 0.003 s 1.076
2023-01-20 14:35 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.507
2023-01-20 14:35 JavaScript Table tracks, 1,000,000 0.096 s -1.097
2023-01-20 14:35 JavaScript get Vector numbers 0.002 s -0.515
2023-01-20 14:35 JavaScript get Vector dictionary 0.002 s 0.752
2023-01-20 14:35 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.135
2023-01-20 14:35 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.165
2023-01-20 14:35 JavaScript get Vector booleans 0.002 s 0.678
2023-01-20 14:35 JavaScript get Vector string 0.126 s -0.744
2023-01-20 14:35 JavaScript Parse write recordBatches, tracks 0.002 s -2.739
2023-01-20 14:35 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.382
2023-01-20 14:35 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.746
2023-01-20 14:35 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.640
2023-01-20 14:35 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.111
2023-01-20 14:35 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -1.130
2023-01-20 14:35 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.681
2023-01-20 14:35 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-20 14:35 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-20 14:35 JavaScript Table tracks, 1,000,000 0.050 s -0.913
2023-01-20 14:35 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.832