Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-10 12:03 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.170 s -0.279
2022-11-10 12:02 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.128 s 0.186
2022-11-10 12:06 Python dataframe-to-table type_integers 0.010 s -0.589
2022-11-10 12:05 Python dataframe-to-table chi_traffic_2020_Q1 20.091 s 1.054
2022-11-10 12:06 Python dataframe-to-table type_dict 0.012 s -1.228
2022-11-10 12:06 Python dataframe-to-table type_floats 0.011 s 0.157
2022-11-10 12:01 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.712 s -0.705
2022-11-10 12:04 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.178 s -0.589
2022-11-10 12:00 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.252 s -0.180
2022-11-10 12:06 Python dataframe-to-table type_nested 2.803 s 1.157
2022-11-10 12:06 Python dataset-filter nyctaxi_2010-01 1.004 s -0.067
2022-11-10 12:02 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.624 s -0.534
2022-11-10 12:00 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.678 s 0.770
2022-11-10 12:02 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.430 s -0.884
2022-11-10 12:26 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.198 s -0.511
2022-11-10 12:06 Python dataframe-to-table type_strings 0.459 s -1.504
2022-11-10 12:26 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.118 s 0.364
2022-11-10 12:10 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 72.484 s 1.348
2022-11-10 12:14 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.515 s 0.375
2022-11-10 12:26 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.061 s 0.088
2022-11-10 12:26 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.054 s 0.109
2022-11-10 12:26 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.238 s -0.259
2022-11-10 12:25 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.193 s 0.432
2022-11-10 12:26 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.312 s -0.254
2022-11-10 12:26 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.163 s -0.674
2022-11-10 12:28 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.932 s 0.612
2022-11-10 12:26 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.660 s 0.169
2022-11-10 12:25 Python dataset-read async=True, nyctaxi_multi_ipc_s3 229.244 s -0.343
2022-11-10 12:26 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.207 s -0.242
2022-11-10 12:27 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.665 s -2.051
2022-11-10 12:27 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.323 s 0.656
2022-11-10 12:28 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.609 s -0.603
2022-11-10 12:27 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.515 s -0.819
2022-11-10 12:28 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.356 s -0.018
2022-11-10 12:27 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.652 s -2.242
2022-11-10 12:27 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.525 s -1.341
2022-11-10 12:27 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.790 s -0.630
2022-11-10 12:27 Python file-read lz4, feather, table, fanniemae_2016Q4 0.826 s -0.246
2022-11-10 12:28 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.952 s 0.284
2022-11-10 12:28 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.392 s -0.896
2022-11-10 12:28 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.975 s -1.130
2022-11-10 12:28 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.930 s -0.962
2022-11-10 12:28 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.920 s -0.351
2022-11-10 12:28 Python file-read lz4, feather, table, nyctaxi_2010-01 0.688 s -0.134
2022-11-10 12:29 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.058 s 0.782
2022-11-10 12:47 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.582 s -0.109
2022-11-10 12:32 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.509 s 1.856
2022-11-10 12:33 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.436 s 1.445
2022-11-10 12:35 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.431 s 0.118
2022-11-10 12:33 Python file-write lz4, feather, table, fanniemae_2016Q4 1.562 s -0.324
2022-11-10 12:34 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.528 s 1.482
2022-11-10 12:35 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.030 s -3.023
2022-11-10 12:30 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.203 s 1.850
2022-11-10 12:35 Python wide-dataframe use_legacy_dataset=true 0.372 s 0.585
2022-11-10 12:35 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 8.972 s 2.015
2022-11-10 12:35 Python file-write lz4, feather, table, nyctaxi_2010-01 1.813 s -1.120
2022-11-10 12:31 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.337 s 1.081
2022-11-10 12:35 Python wide-dataframe use_legacy_dataset=false 0.507 s 0.888
2022-11-10 12:32 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.056 s -0.313
2022-11-10 12:33 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.600 s 1.454
2022-11-10 12:34 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.051 s 1.906
2022-11-10 12:35 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.789 s 1.038
2022-11-10 12:33 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.440 s 1.403
2022-11-10 12:43 R dataframe-to-table chi_traffic_2020_Q1, R 4.324 s -0.239
2022-11-10 12:44 R dataframe-to-table type_integers, R 0.010 s 1.181
2022-11-10 12:44 R dataframe-to-table type_dict, R 0.057 s 0.198
2022-11-10 12:44 R dataframe-to-table type_strings, R 0.536 s 0.934
2022-11-10 12:44 R dataframe-to-table type_floats, R 0.013 s 0.910
2022-11-10 12:44 R dataframe-to-table type_nested, R 0.572 s 0.808
2022-11-10 12:45 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.344 s -1.530
2022-11-10 12:46 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.599 s -0.536
2022-11-10 12:45 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.585 s -1.038
2022-11-10 12:45 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.322 s -0.832
2022-11-10 12:45 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -0.952
2022-11-10 12:45 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.313 s 0.383
2022-11-10 12:46 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.454
2022-11-10 12:46 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.904 s -1.190
2022-11-10 12:46 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.848 s 0.089
2022-11-10 12:46 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.551 s -0.859
2022-11-10 12:46 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.554 s -0.741
2022-11-10 12:47 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 1.122
2022-11-10 12:47 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.913 s -1.623
2022-11-10 12:46 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.906 s -1.121
2022-11-10 12:53 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.550 s 0.919
2022-11-10 12:56 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.374 s 0.443
2022-11-10 13:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s -0.104
2022-11-10 12:47 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.827 s -1.896
2022-11-10 12:48 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.488 s 0.933
2022-11-10 12:59 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.730 s 0.789
2022-11-10 13:01 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.311 s -0.897
2022-11-10 13:02 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.317 s -0.753
2022-11-10 13:04 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.219 s -1.230
2022-11-10 13:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.432 s -0.652
2022-11-10 13:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.049 s -0.464
2022-11-10 13:11 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.186 s -0.826
2022-11-10 13:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.494
2022-11-10 13:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.550
2022-11-10 13:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.640 s -0.552
2022-11-10 12:55 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.192
2022-11-10 13:04 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.246 s -0.027
2022-11-10 13:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.448
2022-11-10 13:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.400
2022-11-10 13:09 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.507 s -0.430
2022-11-10 13:04 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.556 s -0.132
2022-11-10 12:51 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.937 s 0.757
2022-11-10 12:58 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.943 s 0.754
2022-11-10 13:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.212
2022-11-10 13:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s -0.270
2022-11-10 13:09 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.924 s -0.694
2022-11-10 13:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.371
2022-11-10 13:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.228 s 0.250
2022-11-10 13:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.587 s -0.719
2022-11-10 12:50 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.089 s 0.982
2022-11-10 12:57 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.993 s 0.889
2022-11-10 13:01 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.889 s 0.785
2022-11-10 13:05 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.579 s 0.396
2022-11-10 13:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.538
2022-11-10 13:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.619
2022-11-10 13:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s -0.495
2022-11-10 13:17 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.766 s -0.852
2022-11-10 13:03 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 0.103
2022-11-10 13:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.326
2022-11-10 13:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.310 s 0.029
2022-11-10 13:12 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.629 s 0.482
2022-11-10 13:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.421 s -0.140
2022-11-10 13:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.196 s -0.542
2022-11-10 13:06 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.008 s -0.061
2022-11-10 13:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 0.707
2022-11-10 13:06 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.707 s -0.218
2022-11-10 13:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.331 s -0.976
2022-11-10 13:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.435 s 0.596
2022-11-10 13:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.488
2022-11-10 12:53 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.961 s -1.376
2022-11-10 13:04 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.555 s 0.181
2022-11-10 13:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.106
2022-11-10 12:55 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.927 s 0.282
2022-11-10 13:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s 0.044
2022-11-10 13:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.386 s -0.087
2022-11-10 13:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.524
2022-11-10 13:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.329 s 0.623
2022-11-10 13:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.279 s 0.412
2022-11-10 13:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.766 s -0.102
2022-11-10 13:19 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.064 s 0.312
2022-11-10 13:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.367 s -0.282
2022-11-10 13:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.465 s 0.293
2022-11-10 13:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.579 s -0.300
2022-11-10 13:32 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.644 s 0.325
2022-11-10 13:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.716 s 0.007
2022-11-10 13:06 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s -0.244
2022-11-10 13:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.343 s 0.059
2022-11-10 13:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.333 s -0.240
2022-11-10 13:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.581 s 1.100
2022-11-10 13:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.921 s -0.565
2022-11-10 13:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.265 s -0.651
2022-11-10 13:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.185
2022-11-10 13:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.912 s -0.591
2022-11-10 13:17 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.607 s 0.381
2022-11-10 13:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.386
2022-11-10 13:22 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.856 s 1.310
2022-11-10 13:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.378
2022-11-10 13:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.690
2022-11-10 13:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.264 s 0.552
2022-11-10 13:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.175 s 0.023
2022-11-10 13:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.233 s 0.823
2022-11-10 13:12 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.691 s -0.151
2022-11-10 13:14 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.345 s 0.337
2022-11-10 13:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.321
2022-11-10 13:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.442
2022-11-10 13:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.369 s -0.246
2022-11-10 13:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s 0.006
2022-11-10 13:23 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.864 s -0.539
2022-11-10 13:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s -0.022
2022-11-10 13:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.254 s 0.051
2022-11-10 13:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.319 s 0.054
2022-11-10 13:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.249 s -0.521
2022-11-10 13:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.229 s -1.769
2022-11-10 13:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s -0.179
2022-11-10 13:15 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.340 s 0.193
2022-11-10 13:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.331 s 0.024
2022-11-10 13:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.076
2022-11-10 13:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.525 s 0.058
2022-11-10 13:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.318 s 2.493
2022-11-10 13:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.874 s 2.213
2022-11-10 13:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.300 s -0.359
2022-11-10 13:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.262 s 0.457
2022-11-10 13:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.311 s 0.794
2022-11-10 13:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.159
2022-11-10 13:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.332 s 0.388
2022-11-10 13:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.104
2022-11-10 13:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 0.520
2022-11-10 13:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.238
2022-11-10 13:29 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.601 s -0.384
2022-11-10 13:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.190 s 0.251
2022-11-10 13:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.215 s 0.639
2022-11-10 13:14 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.284 s -0.596
2022-11-10 13:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.362 s 0.442
2022-11-10 13:19 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.947 s 0.555
2022-11-10 13:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.388
2022-11-10 13:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.603 s 0.216
2022-11-10 13:43 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.635 s 0.722
2022-11-10 13:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.463
2022-11-10 13:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s -0.612
2022-11-10 13:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s 0.425
2022-11-10 13:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 0.634
2022-11-10 13:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.321 s 1.555
2022-11-10 13:27 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.421 s 2.322
2022-11-10 13:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.280 s 0.183
2022-11-10 13:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.658 s -0.721
2022-11-10 13:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.177 s 0.680
2022-11-10 13:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.410 s -0.028
2022-11-10 13:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.200 s 0.612
2022-11-10 13:29 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.577 s -0.366
2022-11-10 13:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.520 s 1.283
2022-11-10 13:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s 0.014
2022-11-10 13:15 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.770 s 0.258
2022-11-10 13:22 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.141 s 0.036
2022-11-10 13:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.357 s -0.906
2022-11-10 13:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.823 s -0.157
2022-11-10 13:26 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.315 s 0.282
2022-11-10 13:36 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.100 s -0.580
2022-11-10 13:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.586 s -0.266
2022-11-10 13:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.202 s -0.291
2022-11-10 13:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.512 s 0.575
2022-11-10 13:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.317 s -0.298
2022-11-10 13:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.949 s 0.171
2022-11-10 13:21 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.736 s -0.495
2022-11-10 13:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.258 s -0.391
2022-11-10 13:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.294 s 0.080
2022-11-10 13:24 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.245 s -1.560
2022-11-10 13:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.323 s 0.679
2022-11-10 13:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.203 s 0.455
2022-11-10 13:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.304
2022-11-10 13:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.323 s -0.457
2022-11-10 13:27 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.801 s -1.309
2022-11-10 13:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.709 s -0.261
2022-11-10 13:20 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.649 s -0.135
2022-11-10 13:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.345
2022-11-10 13:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.292 s 0.471
2022-11-10 13:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.250 s 0.119
2022-11-10 13:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.899 s 0.120
2022-11-10 13:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.283 s 0.907
2022-11-10 13:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s -0.450
2022-11-10 13:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.861 s -0.192
2022-11-10 13:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.300
2022-11-10 13:39 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.894 s -0.018
2022-11-10 13:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.257 s -0.533
2022-11-10 13:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.423 s 0.634
2022-11-10 13:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s -0.194
2022-11-10 13:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.051 s 0.020
2022-11-10 13:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.263 s -0.453
2022-11-10 13:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.424 s -0.364
2022-11-10 13:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.260 s 0.048
2022-11-10 13:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.378 s 0.320
2022-11-10 13:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.446 s -0.148
2022-11-10 13:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.015
2022-11-10 13:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.263
2022-11-10 13:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.316 s -0.797
2022-11-10 13:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -0.725
2022-11-10 13:32 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.661 s 0.292
2022-11-10 13:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.408 s -0.253
2022-11-10 13:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.539 s -0.141
2022-11-10 13:39 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.115 s 0.371
2022-11-10 13:34 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.246 s -0.373
2022-11-10 13:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.788 s -0.616
2022-11-10 13:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s -0.026
2022-11-10 13:34 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.472 s 1.656
2022-11-10 13:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.205 s 0.287
2022-11-10 13:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.261 s -0.633
2022-11-10 13:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.406 s 0.298
2022-11-10 13:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.370 s -0.554
2022-11-10 13:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.944 s 0.121
2022-11-10 13:38 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.902 s -0.723
2022-11-10 13:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s 0.228
2022-11-10 13:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.441 s -0.372
2022-11-10 13:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.336
2022-11-10 13:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.303 s -0.041
2022-11-10 13:41 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.030 s -0.780
2022-11-10 13:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s 0.051
2022-11-10 13:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.270
2022-11-10 13:45 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.279 s 0.424
2022-11-10 13:53 JavaScript vectorFromArray numbers 0.016 s 0.303
2022-11-10 13:53 JavaScript vectorFromArray booleans 0.017 s 0.968
2022-11-10 13:53 JavaScript Iterate Vector string 0.129 s -1.269
2022-11-10 13:53 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.122
2022-11-10 13:53 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.078
2022-11-10 13:53 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 1.257
2022-11-10 13:53 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.308
2022-11-10 13:53 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.100
2022-11-10 13:53 JavaScript Iterate Vector int64Array 0.004 s -1.963
2022-11-10 13:53 JavaScript Iterate Vector float32Array 0.002 s 0.777
2022-11-10 13:53 JavaScript Iterate Vector float64Array 0.002 s 0.569
2022-11-10 13:53 JavaScript Spread Vector string 0.148 s -1.167
2022-11-10 13:53 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.323
2022-11-10 13:53 JavaScript toArray Vector uint16Array
2022-11-10 13:53 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.461
2022-11-10 13:53 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.507
2022-11-10 13:53 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -1.024
2022-11-10 13:53 JavaScript Iterate Vector int32Array 0.002 s -0.147
2022-11-10 13:53 JavaScript Iterate Vector booleans 0.004 s 0.313
2022-11-10 13:53 JavaScript Iterate Vector dictionary 0.004 s -0.319
2022-11-10 13:53 JavaScript Spread Vector float64Array 0.008 s 0.550
2022-11-10 13:53 JavaScript Spread Vector numbers 0.008 s 0.579
2022-11-10 13:53 JavaScript vectorFromArray dictionary 0.017 s 0.466
2022-11-10 13:53 JavaScript Iterate Vector uint8Array 0.002 s 0.035
2022-11-10 13:53 JavaScript Iterate Vector uint16Array 0.002 s 0.241
2022-11-10 13:53 JavaScript Iterate Vector uint32Array 0.002 s 0.268
2022-11-10 13:53 JavaScript Iterate Vector uint64Array 0.004 s -1.639
2022-11-10 13:53 JavaScript toArray Vector int8Array
2022-11-10 13:53 JavaScript Iterate Vector int8Array 0.002 s 0.167
2022-11-10 13:53 JavaScript Iterate Vector int16Array 0.002 s -0.252
2022-11-10 13:53 JavaScript Spread Vector dictionary 0.010 s -0.524
2022-11-10 13:53 JavaScript toArray Vector uint8Array
2022-11-10 13:53 JavaScript toArray Vector uint32Array
2022-11-10 13:53 JavaScript toArray Vector uint64Array
2022-11-10 13:53 JavaScript Iterate Vector numbers 0.002 s 0.794
2022-11-10 13:53 JavaScript get Vector int32Array 0.003 s -2.569
2022-11-10 13:53 JavaScript get Vector int64Array 0.003 s -13.387
2022-11-10 13:53 JavaScript get Vector float32Array 0.002 s -0.230
2022-11-10 13:53 JavaScript get Vector float64Array 0.002 s 0.095
2022-11-10 13:53 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.431
2022-11-10 13:53 JavaScript Spread Vector uint8Array 0.006 s 0.963
2022-11-10 13:53 JavaScript Spread Vector uint16Array 0.006 s 0.309
2022-11-10 13:53 JavaScript Spread Vector uint32Array 0.006 s 0.898
2022-11-10 13:53 JavaScript Spread Vector uint64Array 0.012 s -2.289
2022-11-10 13:53 JavaScript Spread Vector int8Array 0.006 s 0.621
2022-11-10 13:53 JavaScript toArray Vector int16Array
2022-11-10 13:53 JavaScript Spread Vector int16Array 0.006 s 0.026
2022-11-10 13:53 JavaScript Spread Vector int32Array 0.006 s 0.686
2022-11-10 13:53 JavaScript Spread Vector int64Array 0.012 s -1.606
2022-11-10 13:53 JavaScript Spread Vector float32Array 0.008 s 0.738
2022-11-10 13:53 JavaScript toArray Vector int32Array
2022-11-10 13:53 JavaScript toArray Vector int64Array
2022-11-10 13:53 JavaScript Spread Vector booleans 0.010 s 0.463
2022-11-10 13:53 JavaScript toArray Vector float32Array
2022-11-10 13:53 JavaScript toArray Vector float64Array
2022-11-10 13:53 JavaScript toArray Vector numbers
2022-11-10 13:53 JavaScript toArray Vector string 0.146 s -0.080
2022-11-10 13:53 JavaScript get Vector uint8Array 0.003 s -1.793
2022-11-10 13:53 JavaScript get Vector uint32Array 0.003 s -1.852
2022-11-10 13:53 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.639
2022-11-10 13:53 JavaScript toArray Vector booleans 0.010 s 0.077
2022-11-10 13:53 JavaScript toArray Vector dictionary 0.010 s -0.556
2022-11-10 13:53 JavaScript get Vector uint16Array 0.003 s -1.219
2022-11-10 13:53 JavaScript get Vector uint64Array 0.003 s -1.287
2022-11-10 13:53 JavaScript get Vector int8Array 0.003 s -2.148
2022-11-10 13:53 JavaScript get Vector int16Array 0.003 s -2.060
2022-11-10 13:53 JavaScript get Vector numbers 0.002 s 0.091
2022-11-10 13:53 JavaScript get Vector booleans 0.002 s 0.342
2022-11-10 13:53 JavaScript get Vector dictionary 0.002 s 0.446
2022-11-10 13:53 JavaScript get Vector string 0.129 s -2.604
2022-11-10 13:53 JavaScript Parse read recordBatches, tracks 0.000 s -0.313
2022-11-10 13:53 JavaScript Parse write recordBatches, tracks 0.002 s -0.477
2022-11-10 13:53 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.271
2022-11-10 13:53 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.274
2022-11-10 13:53 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.812
2022-11-10 13:53 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.016
2022-11-10 13:53 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-10 13:53 JavaScript Table tracks, 1,000,000 0.249 s 1.191
2022-11-10 13:53 JavaScript Table 1,000,000, tracks 0.250 s 1.092
2022-11-10 13:53 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-10 13:53 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-10 13:53 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.805
2022-11-10 13:53 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.191 s -1.528
2022-11-10 13:53 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.190
2022-11-10 13:53 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -1.029
2022-11-10 13:53 JavaScript Table tracks, 1,000,000 0.050 s 0.133
2022-11-10 13:53 JavaScript Table tracks, 1,000,000 0.095 s 0.297
2022-11-10 13:53 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s