Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-13 18:08 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.209 s 0.505
2023-01-13 18:10 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.446 s -0.970
2023-01-13 18:08 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.756 s 2.127
2023-01-13 18:13 Python dataframe-to-table type_integers 0.010 s -0.046
2023-01-13 18:14 Python dataframe-to-table type_nested 2.953 s 1.196
2023-01-13 18:09 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.414 s 1.100
2023-01-13 18:10 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.134 s 0.075
2023-01-13 18:11 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.384 s -0.952
2023-01-13 18:11 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.266 s -0.834
2023-01-13 18:22 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.800 s -0.135
2023-01-13 18:13 Python dataframe-to-table type_dict 0.011 s 0.210
2023-01-13 18:13 Python dataframe-to-table type_floats 0.010 s 0.241
2023-01-13 18:47 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.318 s -0.581
2023-01-13 18:48 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.694
2023-01-13 18:10 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.416 s 0.994
2023-01-13 18:13 Python dataframe-to-table type_strings 0.429 s -0.408
2023-01-13 18:14 Python dataset-filter nyctaxi_2010-01 0.983 s 0.553
2023-01-13 18:13 Python dataframe-to-table chi_traffic_2020_Q1 20.812 s 1.903
2023-01-13 18:34 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.154 s 0.292
2023-01-13 18:39 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.323
2023-01-13 18:18 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 75.937 s 0.570
2023-01-13 18:34 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.304 s -0.219
2023-01-13 18:34 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.640 s 0.265
2023-01-13 18:34 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.178 s 0.847
2023-01-13 18:34 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.760 s -0.452
2023-01-13 18:47 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.869 s -0.356
2023-01-13 18:33 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.274 s 0.323
2023-01-13 18:35 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.200 s -1.386
2023-01-13 18:34 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.040 s 0.287
2023-01-13 18:34 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.289
2023-01-13 19:01 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.584 s -0.417
2023-01-13 19:01 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.621 s 0.390
2023-01-13 18:33 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.171 s 0.236
2023-01-13 18:34 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.777
2023-01-13 18:36 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.555 s -0.475
2023-01-13 18:34 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.044 s 0.248
2023-01-13 18:34 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.115 s 0.605
2023-01-13 19:03 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.944 s 0.491
2023-01-13 19:03 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.348 s 0.156
2023-01-13 18:39 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.241
2023-01-13 18:33 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.200 s 0.262
2023-01-13 18:49 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.720 s -0.355
2023-01-13 19:02 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.621 s 0.451
2023-01-13 19:02 Python file-read lz4, feather, table, fanniemae_2016Q4 0.816 s 0.325
2023-01-13 18:39 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.039 s 0.699
2023-01-13 18:47 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.070
2023-01-13 19:03 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.333
2023-01-13 19:02 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.611 s 0.271
2023-01-13 18:47 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.279 s 1.702
2023-01-13 18:47 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.030
2023-01-13 18:52 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.216 s 1.200
2023-01-13 18:33 Python dataset-read async=True, nyctaxi_multi_ipc_s3 224.661 s -0.419
2023-01-13 18:34 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.303 s 0.210
2023-01-13 19:02 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.483 s 0.322
2023-01-13 19:02 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.322 s 0.352
2023-01-13 18:35 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.908 s 0.526
2023-01-13 18:35 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.321
2023-01-13 18:52 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.399 s 2.779
2023-01-13 19:07 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.986 s 1.177
2023-01-13 19:09 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.759 s -0.196
2023-01-13 19:20 R dataframe-to-table type_integers, R 0.010 s 0.257
2023-01-13 18:48 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 2.978 s 1.487
2023-01-13 18:48 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.223 s 2.457
2023-01-13 19:29 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.912 s 0.990
2023-01-13 18:53 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.410 s -0.015
2023-01-13 19:03 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.874 s 0.768
2023-01-13 19:09 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.280 s -0.545
2023-01-13 19:11 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.178 s -0.041
2023-01-13 19:10 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.635 s -0.218
2023-01-13 19:10 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.756 s -0.306
2023-01-13 19:20 R dataframe-to-table type_floats, R 0.013 s 0.882
2023-01-13 19:03 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.950 s 0.400
2023-01-13 19:07 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.349 s -0.257
2023-01-13 19:08 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.911 s 0.206
2023-01-13 19:11 Python file-write lz4, feather, table, nyctaxi_2010-01 1.785 s 0.002
2023-01-13 19:04 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.384 s 0.290
2023-01-13 19:08 Python file-write lz4, feather, table, fanniemae_2016Q4 1.854 s -0.207
2023-01-13 19:10 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.131 s -0.190
2023-01-13 19:23 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.406
2023-01-13 19:02 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.487 s 0.314
2023-01-13 19:22 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.844 s 0.307
2023-01-13 19:03 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.897 s 0.506
2023-01-13 19:19 R dataframe-to-table chi_traffic_2020_Q1, R 4.350 s -2.018
2023-01-13 19:22 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.532 s 0.500
2023-01-13 19:31 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.194
2023-01-13 19:03 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.934 s 0.343
2023-01-13 19:20 R dataframe-to-table type_dict, R 0.055 s 1.541
2023-01-13 19:22 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.886 s 0.351
2023-01-13 19:27 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.893 s 1.000
2023-01-13 19:03 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.208 s 0.997
2023-01-13 19:06 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.508 s 1.106
2023-01-13 19:20 R dataframe-to-table type_strings, R 0.545 s -12.210
2023-01-13 19:31 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.023 s 0.220
2023-01-13 19:21 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.551 s 0.578
2023-01-13 19:21 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.296 s 0.593
2023-01-13 19:22 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.952 s -1.084
2023-01-13 19:03 Python file-read lz4, feather, table, nyctaxi_2010-01 0.671 s 0.372
2023-01-13 19:21 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.557 s 0.259
2023-01-13 19:05 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.820 s 1.058
2023-01-13 19:08 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.318 s -0.270
2023-01-13 19:26 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.427 s 1.353
2023-01-13 19:20 R dataframe-to-table type_nested, R 0.586 s -11.698
2023-01-13 19:21 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.315 s 0.265
2023-01-13 19:22 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.535 s 0.599
2023-01-13 19:23 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.817 s 0.355
2023-01-13 19:23 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.906 s 0.303
2023-01-13 19:29 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.956 s 0.502
2023-01-13 19:10 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.108 s -0.032
2023-01-13 19:11 Python wide-dataframe use_legacy_dataset=false 0.517 s 0.024
2023-01-13 19:21 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.288
2023-01-13 19:11 Python wide-dataframe use_legacy_dataset=true 0.378 s 0.054
2023-01-13 19:24 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.460 s 1.203
2023-01-13 19:20 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.296 s 0.772
2023-01-13 19:22 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.586 s 0.385
2023-01-13 19:23 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.584 s 0.305
2023-01-13 19:33 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.510 s -0.154
2023-01-13 19:34 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.828 s 1.185
2023-01-13 19:35 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.673 s 0.119
2023-01-13 19:41 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.565 s -0.296
2023-01-13 19:41 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.241 s 0.046
2023-01-13 19:40 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.088 s -1.227
2023-01-13 19:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.590 s -0.318
2023-01-13 19:36 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.561 s 1.138
2023-01-13 19:41 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.589 s 0.754
2023-01-13 19:37 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.622 s 0.590
2023-01-13 19:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.114
2023-01-13 19:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.276 s -0.171
2023-01-13 19:39 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.190 s -0.985
2023-01-13 19:41 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.251 s 0.153
2023-01-13 19:41 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.553 s 0.301
2023-01-13 19:38 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.312 s -0.366
2023-01-13 19:39 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s 0.377
2023-01-13 19:41 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.201 s 0.125
2023-01-13 19:43 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.905 s -1.050
2023-01-13 19:41 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.201 s 0.107
2023-01-13 19:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 0.999 s 0.568
2023-01-13 19:43 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.282 s -0.202
2023-01-13 19:43 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.336 s -0.041
2023-01-13 19:43 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.291 s -0.026
2023-01-13 19:43 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.351 s 0.042
2023-01-13 19:43 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.337 s -0.014
2023-01-13 19:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.433 s 0.104
2023-01-13 19:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.667 s -1.428
2023-01-13 19:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.066 s -0.985
2023-01-13 19:44 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.158
2023-01-13 19:44 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.165
2023-01-13 19:44 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.233 s 0.168
2023-01-13 19:44 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.305 s 0.143
2023-01-13 19:45 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.120
2023-01-13 19:45 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.593 s -0.289
2023-01-13 19:45 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.892 s 0.707
2023-01-13 19:46 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.532 s -0.468
2023-01-13 19:46 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.246
2023-01-13 19:46 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.235 s 0.150
2023-01-13 19:46 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.232
2023-01-13 19:46 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.244 s 0.197
2023-01-13 19:46 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.150
2023-01-13 19:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.335 s 0.190
2023-01-13 19:47 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.903 s 0.659
2023-01-13 19:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.187 s 0.041
2023-01-13 19:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.315 s 0.242
2023-01-13 19:50 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.303
2023-01-13 19:49 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.162 s 0.158
2023-01-13 19:49 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.269
2023-01-13 19:51 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.415 s -2.191
2023-01-13 19:47 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.213
2023-01-13 19:49 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s -0.069
2023-01-13 19:49 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.203 s 0.217
2023-01-13 19:51 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.292 s 0.207
2023-01-13 19:53 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.614 s -0.210
2023-01-13 19:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.267 s 0.179
2023-01-13 19:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.327 s -0.149
2023-01-13 19:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s 0.216
2023-01-13 19:52 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.830 s -3.625
2023-01-13 19:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.353 s 0.172
2023-01-13 19:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.642 s 0.022
2023-01-13 19:50 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.352 s 0.211
2023-01-13 19:51 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.376 s 0.188
2023-01-13 19:49 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.749 s -1.029
2023-01-13 19:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.341
2023-01-13 19:51 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.237 s -0.028
2023-01-13 19:51 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.341 s 0.245
2023-01-13 19:51 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.294 s 0.189
2023-01-13 19:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.176
2023-01-13 19:52 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.819 s -1.464
2023-01-13 19:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.394 s 0.238
2023-01-13 19:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.160
2023-01-13 19:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.340 s 0.176
2023-01-13 19:54 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.714 s 0.172
2023-01-13 19:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.169
2023-01-13 19:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.278
2023-01-13 19:54 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.615 s 0.045
2023-01-13 19:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.441 s 0.086
2023-01-13 19:54 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.794 s -0.600
2023-01-13 19:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.310
2023-01-13 19:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.766 s 0.281
2023-01-13 19:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.297 s 0.202
2023-01-13 19:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.371 s 0.259
2023-01-13 19:56 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.969 s -0.648
2023-01-13 19:56 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.180
2023-01-13 19:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.319 s 0.377
2023-01-13 19:56 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.299 s 0.247
2023-01-13 19:56 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.136 s -0.289
2023-01-13 19:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.260 s 0.100
2023-01-13 19:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.337 s 0.209
2023-01-13 19:58 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.773 s -0.686
2023-01-13 19:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s 0.139
2023-01-13 19:58 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.871 s 0.903
2023-01-13 19:58 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.167
2023-01-13 19:58 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.136
2023-01-13 19:58 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.262 s 0.192
2023-01-13 19:58 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.303 s 0.232
2023-01-13 19:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.868 s -0.127
2023-01-13 19:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.330 s 0.136
2023-01-13 19:59 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.006
2023-01-13 19:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.543 s -0.084
2023-01-13 19:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.256 s -1.306
2023-01-13 20:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.256 s 0.143
2023-01-13 20:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.369 s -0.212
2023-01-13 20:00 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.306 s -0.516
2023-01-13 20:00 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.492 s -2.198
2023-01-13 20:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.923 s -0.929
2023-01-13 20:01 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.675 s -1.593
2023-01-13 20:01 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.148
2023-01-13 20:01 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.690 s -15.029
2023-01-13 20:02 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.433 s -0.697
2023-01-13 20:01 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.241 s -0.192
2023-01-13 20:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s -0.140
2023-01-13 20:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.615 s -2.060
2023-01-13 20:02 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.868 s -1.276
2023-01-13 20:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.453 s -11.810
2023-01-13 20:03 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.541 s -2.812
2023-01-13 20:03 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.268 s 0.014
2023-01-13 20:03 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s -0.070
2023-01-13 20:03 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s -0.018
2023-01-13 20:04 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.946 s -0.289
2023-01-13 20:03 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.337 s 0.040
2023-01-13 20:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.444 s -0.410
2023-01-13 20:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.525 s 0.187
2023-01-13 20:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.209 s 0.166
2023-01-13 20:05 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.029 s -1.015
2023-01-13 20:05 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.286 s 0.142
2023-01-13 20:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.107
2023-01-13 20:05 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.175
2023-01-13 20:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.128
2023-01-13 20:06 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.623 s -0.252
2023-01-13 20:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.588 s 0.058
2023-01-13 20:06 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.222 s -0.781
2023-01-13 20:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.601 s -0.532
2023-01-13 20:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.273 s -1.860
2023-01-13 20:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.285 s 0.276
2023-01-13 20:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 0.384
2023-01-13 20:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.381 s -3.946
2023-01-13 20:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.529 s 0.166
2023-01-13 20:08 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.885 s 0.096
2023-01-13 20:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.237
2023-01-13 20:08 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.086 s -0.007
2023-01-13 20:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.221 s 0.138
2023-01-13 20:08 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.268 s 0.169
2023-01-13 20:08 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.324 s 0.112
2023-01-13 20:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.133
2023-01-13 20:09 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.958 s 0.114
2023-01-13 20:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.668 s -0.051
2023-01-13 20:10 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.078 s -0.996
2023-01-13 20:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.195 s 0.202
2023-01-13 20:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.244 s 0.218
2023-01-13 20:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.192
2023-01-13 20:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.267 s 0.103
2023-01-13 20:11 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.542 s -0.215
2023-01-13 20:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.406 s 0.053
2023-01-13 20:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.328 s 0.173
2023-01-13 20:13 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.344 s -0.715
2023-01-13 20:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.062
2023-01-13 20:11 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.476 s -0.588
2023-01-13 20:12 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.309 s -1.004
2023-01-13 20:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.442 s -0.068
2023-01-13 20:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.445 s 0.028
2023-01-13 20:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.892 s -0.980
2023-01-13 20:13 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.664 s -3.140
2023-01-13 20:14 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.466 s -2.817
2023-01-13 20:14 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.094
2023-01-13 20:14 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.377 s 0.073
2023-01-13 20:14 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.042
2023-01-13 20:14 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.323 s 0.034
2023-01-13 20:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.289 s 0.094
2023-01-13 20:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.995 s -0.490
2023-01-13 20:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.604 s 0.018
2023-01-13 20:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.399 s -0.966
2023-01-13 20:16 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.586 s -2.638
2023-01-13 20:16 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.454 s -0.232
2023-01-13 20:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.731 s -0.529
2023-01-13 20:16 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.792 s -0.068
2023-01-13 20:17 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.139 s -1.326
2023-01-13 20:17 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.890 s -1.155
2023-01-13 20:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.969 s -1.820
2023-01-13 20:21 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.029 s -2.260
2023-01-13 20:21 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.255 s -7.400
2023-01-13 20:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.141
2023-01-13 20:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s -5.790
2023-01-13 20:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.345 s -6.276
2023-01-13 20:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.453 s 0.132
2023-01-13 20:23 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.344 s -0.296
2023-01-13 20:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.261 s 0.054
2023-01-13 20:23 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.310 s 0.092
2023-01-13 20:31 JavaScript vectorFromArray booleans 0.017 s 0.668
2023-01-13 20:31 JavaScript vectorFromArray dictionary 0.017 s -0.506
2023-01-13 20:31 JavaScript Iterate Vector numbers 0.002 s 0.609
2023-01-13 20:31 JavaScript Iterate Vector float32Array 0.002 s 0.722
2023-01-13 20:31 JavaScript Iterate Vector string 0.126 s 0.067
2023-01-13 20:31 JavaScript toArray Vector uint64Array
2023-01-13 20:31 JavaScript toArray Vector int64Array
2023-01-13 20:31 JavaScript toArray Vector booleans 0.010 s -0.753
2023-01-13 20:31 JavaScript vectorFromArray numbers 0.016 s 0.244
2023-01-13 20:31 JavaScript Iterate Vector uint16Array 0.002 s 0.614
2023-01-13 20:31 JavaScript Iterate Vector uint64Array 0.004 s 0.213
2023-01-13 20:31 JavaScript Iterate Vector int16Array 0.002 s 0.568
2023-01-13 20:31 JavaScript Iterate Vector int64Array 0.004 s 0.205
2023-01-13 20:31 JavaScript Iterate Vector uint8Array 0.002 s -0.031
2023-01-13 20:31 JavaScript Iterate Vector uint32Array 0.002 s 0.409
2023-01-13 20:31 JavaScript Iterate Vector int8Array 0.002 s 0.462
2023-01-13 20:31 JavaScript Iterate Vector int32Array 0.002 s 0.339
2023-01-13 20:31 JavaScript Iterate Vector dictionary 0.004 s 0.124
2023-01-13 20:31 JavaScript Iterate Vector float64Array 0.002 s 0.380
2023-01-13 20:31 JavaScript Spread Vector uint16Array 0.006 s 0.234
2023-01-13 20:31 JavaScript Spread Vector uint64Array 0.012 s 0.241
2023-01-13 20:31 JavaScript Spread Vector float64Array 0.008 s 0.296
2023-01-13 20:31 JavaScript Spread Vector string 0.148 s -1.206
2023-01-13 20:31 JavaScript toArray Vector float64Array
2023-01-13 20:32 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.220
2023-01-13 20:31 JavaScript Iterate Vector booleans 0.004 s 0.503
2023-01-13 20:31 JavaScript Spread Vector booleans 0.010 s 0.424
2023-01-13 20:31 JavaScript toArray Vector uint16Array
2023-01-13 20:31 JavaScript toArray Vector string 0.147 s -0.884
2023-01-13 20:31 JavaScript Spread Vector uint8Array 0.007 s 0.150
2023-01-13 20:31 JavaScript Spread Vector int8Array 0.006 s 0.404
2023-01-13 20:31 JavaScript Spread Vector float32Array 0.008 s -0.239
2023-01-13 20:31 JavaScript Spread Vector numbers 0.008 s 0.792
2023-01-13 20:31 JavaScript Spread Vector dictionary 0.010 s 0.927
2023-01-13 20:31 JavaScript Spread Vector uint32Array 0.007 s 0.473
2023-01-13 20:31 JavaScript toArray Vector uint8Array
2023-01-13 20:31 JavaScript toArray Vector uint32Array
2023-01-13 20:31 JavaScript toArray Vector int32Array
2023-01-13 20:31 JavaScript toArray Vector numbers
2023-01-13 20:32 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 1.143
2023-01-13 20:31 JavaScript Spread Vector int16Array 0.007 s 0.070
2023-01-13 20:31 JavaScript Spread Vector int64Array 0.012 s 0.626
2023-01-13 20:31 JavaScript toArray Vector int16Array
2023-01-13 20:32 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.886
2023-01-13 20:32 JavaScript Table tracks, 1,000,000 0.096 s -0.607
2023-01-13 20:31 JavaScript Spread Vector int32Array 0.006 s 0.710
2023-01-13 20:31 JavaScript toArray Vector int8Array
2023-01-13 20:31 JavaScript toArray Vector float32Array
2023-01-13 20:31 JavaScript get Vector uint32Array 0.003 s 0.295
2023-01-13 20:31 JavaScript toArray Vector dictionary 0.010 s 0.861
2023-01-13 20:31 JavaScript get Vector uint8Array 0.003 s 0.181
2023-01-13 20:32 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.259
2023-01-13 20:31 JavaScript get Vector uint16Array 0.003 s 0.305
2023-01-13 20:32 JavaScript get Vector string 0.125 s -0.129
2023-01-13 20:32 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 1.214
2023-01-13 20:32 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.375
2023-01-13 20:32 JavaScript get Vector uint64Array 0.003 s 0.312
2023-01-13 20:32 JavaScript get Vector int16Array 0.003 s 0.271
2023-01-13 20:32 JavaScript get Vector int64Array 0.003 s 0.280
2023-01-13 20:32 JavaScript get Vector float64Array 0.002 s -2.298
2023-01-13 20:32 JavaScript get Vector booleans 0.002 s 0.459
2023-01-13 20:32 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.060
2023-01-13 20:32 JavaScript get Vector int8Array 0.003 s 0.151
2023-01-13 20:32 JavaScript get Vector int32Array 0.003 s 0.259
2023-01-13 20:32 JavaScript get Vector float32Array 0.002 s 0.412
2023-01-13 20:32 JavaScript get Vector dictionary 0.002 s -0.112
2023-01-13 20:32 JavaScript Parse read recordBatches, tracks 0.000 s 1.311
2023-01-13 20:32 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.410
2023-01-13 20:32 JavaScript get Vector numbers 0.002 s 0.034
2023-01-13 20:32 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.298
2023-01-13 20:32 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.260
2023-01-13 20:32 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-13 20:32 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 20:32 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.516
2023-01-13 20:32 JavaScript Table tracks, 1,000,000 0.304 s -1.438
2023-01-13 20:32 JavaScript Parse write recordBatches, tracks 0.002 s -1.062
2023-01-13 20:32 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.284
2023-01-13 20:32 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.256
2023-01-13 20:32 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.992
2023-01-13 20:32 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.138
2023-01-13 20:32 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-13 20:32 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 20:32 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.696
2023-01-13 20:32 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.642
2023-01-13 20:32 JavaScript Table tracks, 1,000,000 0.050 s -2.073
2023-01-13 20:32 JavaScript Table 1,000,000, tracks 0.282 s -0.400
2023-01-13 20:32 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.435
2023-01-13 20:32 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.456