Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-15 15:19 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.802 s -1.305
2023-01-15 15:19 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.258 s 0.165
2023-01-15 15:20 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.059 s -1.021
2023-01-15 15:21 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.128 s -1.346
2023-01-15 15:21 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.436 s 0.344
2023-01-15 15:21 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.113 s 0.283
2023-01-15 15:22 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.583 s 0.939
2023-01-15 15:22 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.466 s 1.049
2023-01-15 15:24 Python dataframe-to-table type_dict 0.011 s 0.100
2023-01-15 15:24 Python dataframe-to-table type_integers 0.010 s -0.321
2023-01-15 15:24 Python dataframe-to-table type_strings 0.423 s 1.598
2023-01-15 15:24 Python dataframe-to-table type_floats 0.010 s 0.208
2023-01-15 15:25 Python dataset-filter nyctaxi_2010-01 1.028 s -0.254
2023-01-15 15:24 Python dataframe-to-table chi_traffic_2020_Q1 21.032 s 0.525
2023-01-15 15:25 Python dataframe-to-table type_nested 2.974 s 0.041
2023-01-15 15:29 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 86.983 s -0.708
2023-01-15 15:34 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.984 s 0.710
2023-01-15 15:45 Python dataset-read async=True, nyctaxi_multi_ipc_s3 227.508 s -0.954
2023-01-15 15:45 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.354 s -0.246
2023-01-15 15:46 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.300 s 0.228
2023-01-15 15:45 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.218 s -0.069
2023-01-15 15:45 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.243 s -0.008
2023-01-15 15:46 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.044 s 0.233
2023-01-15 15:46 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.035 s 0.245
2023-01-15 15:46 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.170 s -0.347
2023-01-15 15:46 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.210 s -0.294
2023-01-15 15:46 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.058
2023-01-15 15:46 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.677 s 0.202
2023-01-15 15:46 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.699
2023-01-15 15:46 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.180 s -1.829
2023-01-15 15:47 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.933 s -2.081
2023-01-15 15:47 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -1.360
2023-01-15 15:46 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -1.335
2023-01-15 15:46 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 1.105
2023-01-15 15:47 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.822
2023-01-15 15:48 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.524 s 1.187
2023-01-15 15:51 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.147 s 0.823
2023-01-15 15:51 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.313 s -2.048
2023-01-15 15:51 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.150 s 0.355
2023-01-15 15:59 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -1.716
2023-01-15 15:59 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.560
2023-01-15 15:59 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.865 s 1.405
2023-01-15 15:59 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.974 s 1.140
2023-01-15 15:59 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.266
2023-01-15 16:01 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.684 s 1.371
2023-01-15 16:00 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.048 s -1.936
2023-01-15 16:00 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.251
2023-01-15 16:00 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.632
2023-01-15 16:14 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.497 s 0.242
2023-01-15 16:14 Python file-read lz4, feather, table, fanniemae_2016Q4 0.819 s 0.195
2023-01-15 16:04 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.410 s -1.101
2023-01-15 16:21 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.379 s -0.885
2023-01-15 16:14 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.315 s 0.352
2023-01-15 16:20 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.880 s 0.415
2023-01-15 16:23 Python wide-dataframe use_legacy_dataset=true 0.380 s -0.038
2023-01-15 16:13 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.190 s 1.380
2023-01-15 16:15 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.978 s 0.066
2023-01-15 16:17 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.233 s -1.115
2023-01-15 16:20 Python file-write lz4, feather, table, fanniemae_2016Q4 2.288 s -4.518
2023-01-15 16:23 Python file-write lz4, feather, table, nyctaxi_2010-01 1.810 s -0.135
2023-01-15 16:15 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.587 s 0.320
2023-01-15 16:15 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.338 s 0.247
2023-01-15 16:18 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.902 s -1.682
2023-01-15 16:20 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.808 s -1.043
2023-01-15 16:22 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.784 s -0.995
2023-01-15 16:04 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.932 s -2.066
2023-01-15 16:05 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.413 s -1.169
2023-01-15 16:14 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.614 s 0.356
2023-01-15 16:15 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.199 s 0.678
2023-01-15 16:15 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 1.094 s -1.652
2023-01-15 16:15 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.929 s 0.135
2023-01-15 16:14 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.505 s -0.175
2023-01-15 16:15 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.930 s 0.359
2023-01-15 16:19 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.687 s -0.670
2023-01-15 16:21 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.917 s -0.905
2023-01-15 16:14 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.618 s 0.372
2023-01-15 16:16 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.625 s -0.968
2023-01-15 16:19 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.470 s -1.575
2023-01-15 16:23 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.207 s 0.047
2023-01-15 16:15 Python file-read lz4, feather, table, nyctaxi_2010-01 0.674 s 0.306
2023-01-15 16:22 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.297 s -1.190
2023-01-15 16:22 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.826 s -0.409
2023-01-15 16:23 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.178 s -0.172
2023-01-15 16:23 Python wide-dataframe use_legacy_dataset=false 0.525 s -0.811
2023-01-15 16:33 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -0.316
2023-01-15 16:13 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.632 s 0.373
2023-01-15 16:32 R dataframe-to-table type_dict, R 0.047 s 1.186
2023-01-15 16:34 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.911 s -0.050
2023-01-15 16:15 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.943 s -0.053
2023-01-15 16:31 R dataframe-to-table chi_traffic_2020_Q1, R 4.389 s -1.807
2023-01-15 16:34 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s 0.276
2023-01-15 16:34 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.587 s 0.362
2023-01-15 16:39 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.259 s -1.544
2023-01-15 16:45 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.430 s 1.426
2023-01-15 16:52 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.475 s -1.997
2023-01-15 16:53 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.263 s -1.822
2023-01-15 16:56 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.335 s 0.063
2023-01-15 16:57 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.337 s 0.008
2023-01-15 16:33 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.333 s -0.463
2023-01-15 16:48 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.710 s -1.205
2023-01-15 16:50 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.307 s 1.233
2023-01-15 16:53 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.559 s 0.128
2023-01-15 16:33 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.317 s 0.086
2023-01-15 16:33 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.593 s -0.729
2023-01-15 16:34 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.727 s -1.462
2023-01-15 16:34 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.844 s 0.286
2023-01-15 16:34 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.566 s -0.113
2023-01-15 16:35 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.914 s -0.113
2023-01-15 16:35 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.895 s 0.300
2023-01-15 16:36 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.857 s -1.633
2023-01-15 16:32 R dataframe-to-table type_integers, R 0.010 s 0.604
2023-01-15 16:32 R dataframe-to-table type_floats, R 0.013 s 0.569
2023-01-15 16:49 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.754 s -1.216
2023-01-15 16:54 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.265 s -3.961
2023-01-15 16:54 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.392 s -5.738
2023-01-15 16:57 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.440 s -0.158
2023-01-15 16:58 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.217
2023-01-15 16:59 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.322
2023-01-15 16:35 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.569 s -0.217
2023-01-15 16:41 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.217 s -1.168
2023-01-15 16:43 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.990 s 1.094
2023-01-15 16:53 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.074 s -0.330
2023-01-15 16:32 R dataframe-to-table type_strings, R 0.535 s -0.173
2023-01-15 16:32 R dataframe-to-table type_nested, R 0.574 s -0.253
2023-01-15 16:35 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.581 s 0.286
2023-01-15 16:58 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.176
2023-01-15 16:58 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s 0.175
2023-01-15 16:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.538 s -0.235
2023-01-15 16:35 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.213 s 0.362
2023-01-15 16:35 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.809 s 0.338
2023-01-15 16:38 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.822 s -1.569
2023-01-15 16:42 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.966 s -1.039
2023-01-15 16:46 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.983 s -1.286
2023-01-15 16:56 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.281 s -0.190
2023-01-15 16:56 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.108
2023-01-15 16:57 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.177
2023-01-15 16:59 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.269 s 0.327
2023-01-15 17:01 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.264 s 0.298
2023-01-15 16:51 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.301 s -5.553
2023-01-15 16:53 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.601 s -0.907
2023-01-15 16:54 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.690 s -8.633
2023-01-15 17:00 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.915 s 0.114
2023-01-15 16:44 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.496 s -0.845
2023-01-15 16:47 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.795 s -1.144
2023-01-15 16:55 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.590 s -0.322
2023-01-15 16:58 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.897 s 0.174
2023-01-15 16:59 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.242 s 0.287
2023-01-15 17:01 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.313 s 0.288
2023-01-15 17:03 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s 0.354
2023-01-15 17:03 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s 0.233
2023-01-15 17:04 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.472 s -2.869
2023-01-15 17:05 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.832 s -3.946
2023-01-15 17:07 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.216
2023-01-15 16:54 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.261 s -3.302
2023-01-15 16:55 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.307 s -4.287
2023-01-15 16:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.005 s -0.058
2023-01-15 16:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.707 s 0.516
2023-01-15 16:57 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.147
2023-01-15 16:59 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.308
2023-01-15 16:59 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.242
2023-01-15 17:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.860 s -3.505
2023-01-15 17:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.269
2023-01-15 16:55 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.432 s -5.223
2023-01-15 16:56 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.348 s 0.184
2023-01-15 16:57 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.670 s -1.907
2023-01-15 17:00 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.191 s 0.077
2023-01-15 17:04 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.344 s -1.130
2023-01-15 17:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.771 s 0.220
2023-01-15 17:10 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.279
2023-01-15 17:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.250
2023-01-15 17:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.333 s 0.272
2023-01-15 17:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.202
2023-01-15 16:57 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.063 s -0.771
2023-01-15 16:58 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.588 s 0.058
2023-01-15 17:00 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.249
2023-01-15 17:02 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.234
2023-01-15 17:05 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.425 s -2.733
2023-01-15 17:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.369 s -1.015
2023-01-15 17:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.751 s -0.206
2023-01-15 17:01 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.349 s 0.267
2023-01-15 17:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.266 s -0.139
2023-01-15 17:12 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.874 s 0.329
2023-01-15 17:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.362 s 0.222
2023-01-15 17:18 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.445 s -0.175
2023-01-15 17:18 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.608 s -1.542
2023-01-15 17:00 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.423
2023-01-15 17:01 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.643 s -0.012
2023-01-15 17:02 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.717 s -0.516
2023-01-15 17:02 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.227
2023-01-15 17:05 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.519 s -3.395
2023-01-15 17:06 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 4.153 s -3.935
2023-01-15 17:07 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.551 s -4.183
2023-01-15 17:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.305
2023-01-15 17:10 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.961 s -0.114
2023-01-15 17:11 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.649 s 0.235
2023-01-15 17:03 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.354 s 0.166
2023-01-15 17:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.389 s -2.253
2023-01-15 17:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.372 s 0.095
2023-01-15 17:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.873 s -0.412
2023-01-15 17:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.262 s -0.816
2023-01-15 17:22 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.368 s -2.062
2023-01-15 17:01 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.322 s 0.082
2023-01-15 17:02 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.633 s 0.058
2023-01-15 17:03 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.315
2023-01-15 17:04 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.375 s -2.716
2023-01-15 17:11 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.333
2023-01-15 17:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.148
2023-01-15 17:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s 0.306
2023-01-15 17:02 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.174
2023-01-15 17:04 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.370 s -2.919
2023-01-15 17:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.613 s 0.246
2023-01-15 17:10 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.182 s -0.492
2023-01-15 17:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.137
2023-01-15 17:12 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.185
2023-01-15 17:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.923 s -0.752
2023-01-15 17:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.431 s -0.311
2023-01-15 17:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.718 s 0.093
2023-01-15 17:09 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.789 s -0.378
2023-01-15 17:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.372 s 0.263
2023-01-15 17:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.256 s 0.157
2023-01-15 17:15 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.185 s 0.049
2023-01-15 17:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.867 s -0.502
2023-01-15 17:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.265 s 0.285
2023-01-15 17:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.209 s 0.242
2023-01-15 17:20 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.818 s -3.112
2023-01-15 17:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.379 s -3.951
2023-01-15 17:11 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.285
2023-01-15 17:12 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.203
2023-01-15 17:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.495 s -1.941
2023-01-15 17:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s -0.120
2023-01-15 17:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.615 s -1.482
2023-01-15 17:17 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.444 s -3.342
2023-01-15 17:22 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.900 s -0.728
2023-01-15 17:23 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.238
2023-01-15 17:23 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.221 s 0.169
2023-01-15 17:24 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.167 s -3.300
2023-01-15 17:27 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.316 s -0.635
2023-01-15 17:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.288
2023-01-15 17:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.442 s 0.106
2023-01-15 17:12 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.237
2023-01-15 17:13 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.210 s 0.102
2023-01-15 17:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.238 s -0.009
2023-01-15 17:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.186
2023-01-15 17:18 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.945 s -0.094
2023-01-15 17:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.243 s 0.173
2023-01-15 17:20 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.610 s 0.370
2023-01-15 17:26 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.409 s -0.239
2023-01-15 17:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.332 s -0.087
2023-01-15 17:15 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.622 s -1.293
2023-01-15 17:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.284 s 0.266
2023-01-15 17:20 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.587 s 0.127
2023-01-15 17:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.250 s -2.063
2023-01-15 17:22 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.694 s -4.548
2023-01-15 17:23 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.319 s 0.320
2023-01-15 17:25 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.361 s -3.440
2023-01-15 17:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.542 s -0.038
2023-01-15 17:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.304 s -0.237
2023-01-15 17:15 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.699 s -3.828
2023-01-15 17:17 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.541 s -0.756
2023-01-15 17:19 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.959 s -0.474
2023-01-15 17:23 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.235
2023-01-15 17:29 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.661 s -1.974
2023-01-15 17:30 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.070
2023-01-15 17:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.425 s -4.160
2023-01-15 17:22 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.097 s -0.095
2023-01-15 17:27 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.274 s 0.064
2023-01-15 17:30 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.114
2023-01-15 17:24 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.722 s -3.288
2023-01-15 17:26 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.399 s -4.327
2023-01-15 17:27 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.215
2023-01-15 17:28 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.444 s 0.111
2023-01-15 17:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.269 s -1.985
2023-01-15 17:25 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 8.101 s -4.162
2023-01-15 17:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 1.048 s -1.600
2023-01-15 17:26 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.262 s -2.585
2023-01-15 17:27 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.502 s -2.009
2023-01-15 17:28 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.444 s -0.133
2023-01-15 17:31 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.605 s -0.001
2023-01-15 17:31 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.399 s -0.634
2023-01-15 17:23 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.300 s -1.680
2023-01-15 17:26 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.536 s 0.125
2023-01-15 17:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s 0.194
2023-01-15 17:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.371 s 0.206
2023-01-15 17:25 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.233 s -2.286
2023-01-15 17:28 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.895 s -1.113
2023-01-15 17:30 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.131
2023-01-15 17:28 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.340 s -0.475
2023-01-15 17:29 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.471 s -2.362
2023-01-15 17:31 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.188 s -0.652
2023-01-15 17:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.454 s -0.102
2023-01-15 17:32 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.920 s -2.545
2023-01-15 17:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.804 s -0.358
2023-01-15 17:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.205 s -2.781
2023-01-15 17:32 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.735 s -0.759
2023-01-15 17:35 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.179 s -3.034
2023-01-15 17:37 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.118
2023-01-15 17:37 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.175 s -2.549
2023-01-15 17:38 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.310 s 0.042
2023-01-15 17:37 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.241 s 0.276
2023-01-15 17:37 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.257
2023-01-15 17:37 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.251
2023-01-15 17:37 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.228 s 0.146
2023-01-15 17:37 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.456 s 0.037
2023-01-15 17:38 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.353 s -0.399
2023-01-15 17:46 JavaScript toArray Vector string 0.146 s -0.409
2023-01-15 17:46 JavaScript Iterate Vector float64Array 0.002 s 0.596
2023-01-15 17:46 JavaScript Iterate Vector uint64Array 0.004 s 0.054
2023-01-15 17:46 JavaScript Iterate Vector int16Array 0.002 s 0.205
2023-01-15 17:46 JavaScript Iterate Vector float32Array 0.002 s 0.364
2023-01-15 17:46 JavaScript Iterate Vector int64Array 0.004 s 0.046
2023-01-15 17:46 JavaScript toArray Vector uint64Array
2023-01-15 17:46 JavaScript vectorFromArray booleans 0.018 s 0.179
2023-01-15 17:46 JavaScript Iterate Vector uint32Array 0.002 s 0.564
2023-01-15 17:46 JavaScript Iterate Vector int32Array 0.002 s 0.456
2023-01-15 17:46 JavaScript toArray Vector dictionary 0.010 s -0.279
2023-01-15 17:46 JavaScript get Vector int32Array 0.003 s -0.030
2023-01-15 17:47 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-15 17:46 JavaScript toArray Vector uint16Array
2023-01-15 17:46 JavaScript toArray Vector float64Array
2023-01-15 17:46 JavaScript toArray Vector booleans 0.010 s -0.340
2023-01-15 17:46 JavaScript vectorFromArray numbers 0.016 s 0.682
2023-01-15 17:46 JavaScript vectorFromArray dictionary 0.017 s 0.129
2023-01-15 17:46 JavaScript Iterate Vector uint16Array 0.002 s 0.565
2023-01-15 17:46 JavaScript Iterate Vector booleans 0.004 s -0.372
2023-01-15 17:46 JavaScript Iterate Vector string 0.126 s 0.346
2023-01-15 17:46 JavaScript Iterate Vector uint8Array 0.002 s 1.318
2023-01-15 17:46 JavaScript Iterate Vector int8Array 0.002 s 1.002
2023-01-15 17:46 JavaScript Iterate Vector numbers 0.002 s 0.627
2023-01-15 17:46 JavaScript Iterate Vector dictionary 0.004 s 0.933
2023-01-15 17:46 JavaScript Spread Vector uint8Array 0.006 s 0.371
2023-01-15 17:46 JavaScript Spread Vector dictionary 0.010 s -0.542
2023-01-15 17:46 JavaScript toArray Vector uint32Array
2023-01-15 17:46 JavaScript toArray Vector int8Array
2023-01-15 17:46 JavaScript toArray Vector int32Array
2023-01-15 17:46 JavaScript get Vector uint8Array 0.003 s 0.023
2023-01-15 17:46 JavaScript Spread Vector uint16Array 0.006 s 0.451
2023-01-15 17:46 JavaScript Spread Vector int16Array 0.006 s 0.596
2023-01-15 17:46 JavaScript Spread Vector string 0.146 s -0.434
2023-01-15 17:46 JavaScript get Vector uint16Array 0.003 s -0.047
2023-01-15 17:47 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.925
2023-01-15 17:46 JavaScript Spread Vector uint32Array 0.007 s 0.295
2023-01-15 17:46 JavaScript Spread Vector int8Array 0.006 s 0.150
2023-01-15 17:46 JavaScript Spread Vector int32Array 0.007 s 0.169
2023-01-15 17:46 JavaScript Spread Vector float32Array 0.008 s 0.200
2023-01-15 17:46 JavaScript Spread Vector numbers 0.008 s 0.501
2023-01-15 17:46 JavaScript Spread Vector uint64Array 0.012 s -0.071
2023-01-15 17:46 JavaScript Spread Vector int64Array 0.012 s 0.257
2023-01-15 17:46 JavaScript Spread Vector float64Array 0.008 s 0.312
2023-01-15 17:46 JavaScript Spread Vector booleans 0.010 s -0.235
2023-01-15 17:46 JavaScript get Vector int16Array 0.003 s 0.019
2023-01-15 17:46 JavaScript toArray Vector uint8Array
2023-01-15 17:46 JavaScript toArray Vector float32Array
2023-01-15 17:47 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.108
2023-01-15 17:47 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -2.237
2023-01-15 17:46 JavaScript toArray Vector int16Array
2023-01-15 17:46 JavaScript toArray Vector int64Array
2023-01-15 17:46 JavaScript get Vector uint64Array 0.003 s -0.180
2023-01-15 17:46 JavaScript get Vector booleans 0.002 s 0.159
2023-01-15 17:47 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.252
2023-01-15 17:47 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-15 17:46 JavaScript toArray Vector numbers
2023-01-15 17:46 JavaScript get Vector uint32Array 0.003 s 0.014
2023-01-15 17:46 JavaScript get Vector float32Array 0.002 s -0.520
2023-01-15 17:46 JavaScript get Vector dictionary 0.002 s -0.403
2023-01-15 17:47 JavaScript Table tracks, 1,000,000 0.050 s -1.315
2023-01-15 17:47 JavaScript Table 1,000,000, tracks 0.279 s -0.135
2023-01-15 17:46 JavaScript get Vector int8Array 0.003 s 0.051
2023-01-15 17:47 JavaScript Parse read recordBatches, tracks 0.000 s 0.831
2023-01-15 17:47 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.447
2023-01-15 17:47 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.329
2023-01-15 17:47 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.114
2023-01-15 17:47 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.678
2023-01-15 17:46 JavaScript get Vector int64Array 0.003 s 0.085
2023-01-15 17:46 JavaScript get Vector numbers 0.002 s 0.716
2023-01-15 17:47 JavaScript get Vector string 0.124 s 0.654
2023-01-15 17:47 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.102
2023-01-15 17:46 JavaScript get Vector float64Array 0.002 s 0.775
2023-01-15 17:47 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.045
2023-01-15 17:47 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.327
2023-01-15 17:47 JavaScript Parse write recordBatches, tracks 0.002 s 1.128
2023-01-15 17:47 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.525
2023-01-15 17:47 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -2.445
2023-01-15 17:47 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.323
2023-01-15 17:47 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.913
2023-01-15 17:47 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 17:47 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.395
2023-01-15 17:47 JavaScript Table tracks, 1,000,000 0.251 s 1.011
2023-01-15 17:47 JavaScript Table tracks, 1,000,000 0.095 s 0.011
2023-01-15 17:47 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.153
2023-01-15 17:47 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 17:47 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.402
2023-01-15 17:47 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.152