Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-09 20:42 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.680 s 0.534
2022-11-09 20:45 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.249 s -0.625
2022-11-09 20:44 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.430 s -0.816
2022-11-09 20:47 Python dataframe-to-table type_strings 0.447 s -0.019
2022-11-09 20:47 Python dataframe-to-table type_integers 0.010 s 0.719
2022-11-09 20:44 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.598 s -0.442
2022-11-09 21:10 Python file-read lz4, feather, table, nyctaxi_2010-01 0.686 s 0.288
2022-11-09 21:12 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.332 s 1.256
2022-11-09 21:07 Python dataset-read async=True, nyctaxi_multi_ipc_s3 219.135 s 0.425
2022-11-09 20:48 Python dataframe-to-table type_nested 2.821 s 0.698
2022-11-09 20:48 Python dataset-filter nyctaxi_2010-01 0.989 s 0.385
2022-11-09 20:42 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.256 s -0.484
2022-11-09 20:47 Python dataframe-to-table chi_traffic_2020_Q1 20.088 s 1.273
2022-11-09 20:47 Python dataframe-to-table type_floats 0.010 s 0.477
2022-11-09 20:43 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.559 s -0.188
2022-11-09 20:45 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.182 s -0.601
2022-11-09 21:08 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.025 s 0.381
2022-11-09 21:09 Python file-read lz4, feather, table, fanniemae_2016Q4 0.836 s -1.539
2022-11-09 20:44 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.122 s 0.758
2022-11-09 20:47 Python dataframe-to-table type_dict 0.012 s -0.539
2022-11-09 21:11 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 9.995 s 1.325
2022-11-09 21:25 R dataframe-to-table type_strings, R 0.538 s 0.408
2022-11-09 21:31 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.081 s 1.175
2022-11-09 20:56 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.923 s 0.162
2022-11-09 21:08 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.106 s 0.801
2022-11-09 21:10 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.933 s 0.473
2022-11-09 21:07 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.166 s 0.567
2022-11-09 21:15 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.418 s 1.734
2022-11-09 21:16 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.105 s 1.467
2022-11-09 20:52 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 84.239 s -0.187
2022-11-09 21:08 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.048 s 0.163
2022-11-09 21:09 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.382 s -0.912
2022-11-09 21:13 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.027 s -0.146
2022-11-09 21:15 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.663 s -0.468
2022-11-09 21:27 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.543 s 0.059
2022-11-09 21:08 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.709 s -4.611
2022-11-09 21:08 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.477 s -0.017
2022-11-09 21:17 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.798 s 1.039
2022-11-09 21:26 R dataframe-to-table type_floats, R 0.013 s 1.059
2022-11-09 21:27 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.294 s -0.069
2022-11-09 21:09 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.797 s -0.836
2022-11-09 21:34 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.498 s 1.355
2022-11-09 21:17 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.984 s -0.513
2022-11-09 21:10 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.384 s -0.968
2022-11-09 21:07 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.156 s 0.438
2022-11-09 21:07 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.298 s -0.044
2022-11-09 21:14 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.451 s 1.580
2022-11-09 21:16 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.036 s 1.349
2022-11-09 21:25 R dataframe-to-table type_dict, R 0.057 s 0.134
2022-11-09 21:26 R dataframe-to-table type_integers, R 0.010 s 1.229
2022-11-09 21:26 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.553 s -0.128
2022-11-09 21:10 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.911 s 0.194
2022-11-09 21:17 Python wide-dataframe use_legacy_dataset=false 0.505 s 1.020
2022-11-09 21:32 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.866 s 1.330
2022-11-09 21:09 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.468 s 0.236
2022-11-09 21:14 Python file-write lz4, feather, table, fanniemae_2016Q4 1.551 s 0.621
2022-11-09 21:07 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.235 s -0.250
2022-11-09 21:08 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.187 s 0.542
2022-11-09 21:16 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.579 s -0.117
2022-11-09 21:09 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.956 s 0.124
2022-11-09 21:13 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.549 s 2.135
2022-11-09 21:26 R dataframe-to-table type_nested, R 0.572 s 0.808
2022-11-09 21:28 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.535 s 0.433
2022-11-09 21:29 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.919 s -2.891
2022-11-09 21:08 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.140 s 1.649
2022-11-09 21:09 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.332 s -0.424
2022-11-09 21:10 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.901 s 0.730
2022-11-09 21:17 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.361 s 1.273
2022-11-09 21:17 Python wide-dataframe use_legacy_dataset=true 0.372 s 0.612
2022-11-09 21:36 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.914 s 0.623
2022-11-09 21:08 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.592 s -0.513
2022-11-09 21:25 R dataframe-to-table chi_traffic_2020_Q1, R 4.313 s -0.078
2022-11-09 21:27 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.851 s -0.219
2022-11-09 21:10 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.955 s 0.065
2022-11-09 21:27 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.609 s -2.065
2022-11-09 21:30 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.429 s 1.432
2022-11-09 21:08 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.662 s 0.152
2022-11-09 21:10 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.607 s -0.662
2022-11-09 21:12 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.206 s 2.273
2022-11-09 21:17 Python file-write lz4, feather, table, nyctaxi_2010-01 1.607 s 0.986
2022-11-09 21:27 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s -0.095
2022-11-09 21:28 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.539 s 0.403
2022-11-09 21:29 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s -0.365
2022-11-09 21:26 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.295 s 0.006
2022-11-09 21:27 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.317
2022-11-09 21:28 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.890 s -0.021
2022-11-09 21:28 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s -1.259
2022-11-09 21:28 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.888 s -0.152
2022-11-09 21:28 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.823 s -0.780
2022-11-09 21:35 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.949 s 0.813
2022-11-09 21:37 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.490 s 0.437
2022-11-09 21:38 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.384 s 0.319
2022-11-09 21:49 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.060 s -0.961
2022-11-09 21:39 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.045 s 0.261
2022-11-09 21:42 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.976 s 0.059
2022-11-09 21:41 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.793 s 0.168
2022-11-09 21:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s -0.138
2022-11-09 21:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.331 s 0.201
2022-11-09 21:46 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.537 s 0.186
2022-11-09 21:47 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.197
2022-11-09 21:49 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.432 s -0.241
2022-11-09 21:52 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.158 s 0.785
2022-11-09 21:53 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s 0.063
2022-11-09 21:53 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.640 s -0.266
2022-11-09 21:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.164
2022-11-09 21:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.196 s -0.262
2022-11-09 21:52 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.907 s 0.032
2022-11-09 21:55 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.349 s 0.158
2022-11-09 22:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.256 s 0.216
2022-11-09 22:03 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.226 s 0.467
2022-11-09 21:40 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 6.016 s 0.066
2022-11-09 21:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.345 s 0.041
2022-11-09 21:48 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.007 s 0.017
2022-11-09 21:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.423
2022-11-09 21:57 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.771 s 0.255
2022-11-09 21:46 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.595 s -0.217
2022-11-09 21:47 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.588 s -0.351
2022-11-09 21:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.434
2022-11-09 21:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.569
2022-11-09 21:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.283 s 0.247
2022-11-09 21:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s -0.244
2022-11-09 21:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.436
2022-11-09 21:57 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.386 s 0.161
2022-11-09 21:47 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s -0.307
2022-11-09 21:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.355
2022-11-09 21:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s 0.069
2022-11-09 21:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.558
2022-11-09 21:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.311 s 0.134
2022-11-09 21:48 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.742 s -0.611
2022-11-09 21:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.439
2022-11-09 21:58 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.606 s 0.434
2022-11-09 22:03 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s 0.191
2022-11-09 21:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.159 s 0.027
2022-11-09 21:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s 0.100
2022-11-09 21:44 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.309 s -0.518
2022-11-09 21:46 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.546 s 1.114
2022-11-09 21:49 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.266 s 0.128
2022-11-09 21:52 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.321 s 0.963
2022-11-09 21:45 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s -0.216
2022-11-09 21:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.285 s 0.271
2022-11-09 21:49 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.330 s 0.434
2022-11-09 21:43 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s -0.397
2022-11-09 21:46 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.253 s -0.998
2022-11-09 21:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.567
2022-11-09 21:58 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.421 s 0.070
2022-11-09 22:08 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.427 s 0.104
2022-11-09 21:50 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.296 s 0.466
2022-11-09 21:58 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.707 s 0.055
2022-11-09 22:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 0.334
2022-11-09 21:55 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.297 s -0.862
2022-11-09 21:57 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.597 s -0.485
2022-11-09 22:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.819 s 0.689
2022-11-09 21:47 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.065
2022-11-09 21:51 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.522 s -0.693
2022-11-09 21:58 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.363 s 0.340
2022-11-09 22:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s 0.119
2022-11-09 21:46 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.218 s -1.190
2022-11-09 21:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.237 s -0.020
2022-11-09 21:52 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.465
2022-11-09 21:54 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.677 s -0.062
2022-11-09 21:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.271
2022-11-09 21:59 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.758 s -0.821
2022-11-09 21:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.291 s 0.481
2022-11-09 22:04 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.249 s -0.217
2022-11-09 22:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.275
2022-11-09 21:49 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.650 s 0.503
2022-11-09 21:50 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.916 s 0.005
2022-11-09 21:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.485
2022-11-09 22:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.246 s 0.530
2022-11-09 22:02 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.749 s -0.775
2022-11-09 22:03 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.329 s 0.078
2022-11-09 22:08 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.513 s -0.601
2022-11-09 21:50 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s 0.135
2022-11-09 21:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.228 s 0.372
2022-11-09 22:03 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s 0.182
2022-11-09 21:50 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.584 s -0.204
2022-11-09 21:55 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.176 s -0.068
2022-11-09 21:55 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.508 s -0.767
2022-11-09 21:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.266 s 0.503
2022-11-09 21:59 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s 0.265
2022-11-09 22:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.456
2022-11-09 21:53 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.262 s 0.469
2022-11-09 21:53 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.315 s 0.349
2022-11-09 21:54 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.628 s 0.495
2022-11-09 21:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.339 s 0.362
2022-11-09 22:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.651 s -0.163
2022-11-09 22:05 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.167 s -0.136
2022-11-09 21:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.366 s 0.131
2022-11-09 22:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.473
2022-11-09 22:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.407 s 0.565
2022-11-09 22:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 0.429
2022-11-09 21:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.435 s 0.578
2022-11-09 22:02 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.899 s 0.280
2022-11-09 22:00 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.941 s 0.881
2022-11-09 22:01 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.086 s -0.045
2022-11-09 22:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s 0.095
2022-11-09 22:03 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.857 s 1.257
2022-11-09 22:04 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.851 s 0.843
2022-11-09 22:05 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.519 s -0.233
2022-11-09 22:07 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.331 s -0.383
2022-11-09 22:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.323 s -0.065
2022-11-09 21:59 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s 0.177
2022-11-09 22:00 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.764 s 0.128
2022-11-09 22:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.295 s 0.123
2022-11-09 22:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s 0.418
2022-11-09 22:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.050
2022-11-09 22:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.468 s -0.140
2022-11-09 22:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.291 s 0.601
2022-11-09 22:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.246 s 0.060
2022-11-09 22:04 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.133 s 0.209
2022-11-09 22:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.321 s 0.890
2022-11-09 22:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.583 s 0.662
2022-11-09 22:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.177 s 0.525
2022-11-09 22:07 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.285 s 0.705
2022-11-09 22:04 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.355 s -0.051
2022-11-09 22:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.216 s 0.389
2022-11-09 22:08 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.403
2022-11-09 22:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.920 s -0.440
2022-11-09 22:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.338
2022-11-09 22:09 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.685 s 0.786
2022-11-09 22:10 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.485
2022-11-09 22:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s 0.022
2022-11-09 22:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.235 s 0.008
2022-11-09 22:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.131
2022-11-09 22:10 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.602 s -0.288
2022-11-09 22:10 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.584 s -0.775
2022-11-09 22:10 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.683 s -1.816
2022-11-09 22:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.191 s 0.132
2022-11-09 22:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.216 s 0.179
2022-11-09 22:12 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.317 s 0.052
2022-11-09 22:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.890 s 0.228
2022-11-09 22:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.254 s 0.220
2022-11-09 22:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.531 s -0.576
2022-11-09 22:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.945
2022-11-09 22:12 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.043 s 0.285
2022-11-09 22:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.184
2022-11-09 22:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.292
2022-11-09 22:12 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.264 s -0.015
2022-11-09 22:13 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.965 s -0.387
2022-11-09 22:14 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.856 s -1.535
2022-11-09 22:13 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.432
2022-11-09 22:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.483
2022-11-09 22:14 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.538 s 0.045
2022-11-09 22:14 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s -0.075
2022-11-09 22:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.191 s 0.266
2022-11-09 22:16 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -0.727
2022-11-09 22:14 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s 0.098
2022-11-09 22:15 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.491 s 0.828
2022-11-09 22:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.025 s 0.284
2022-11-09 22:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.426
2022-11-09 22:15 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.204 s 0.613
2022-11-09 22:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.262 s -0.723
2022-11-09 22:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s 0.047
2022-11-09 22:16 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.316 s -0.773
2022-11-09 22:16 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.300 s -0.375
2022-11-09 22:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.259 s 0.138
2022-11-09 22:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.424 s -0.384
2022-11-09 22:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.860 s -0.016
2022-11-09 22:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.885 s 0.432
2022-11-09 22:17 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.414 s 0.188
2022-11-09 22:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.369 s -0.114
2022-11-09 22:19 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.844 s 0.402
2022-11-09 22:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.259 s 0.340
2022-11-09 22:19 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.601 s 0.605
2022-11-09 22:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.709 s 0.534
2022-11-09 22:21 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.126 s 0.078
2022-11-09 22:35 JavaScript Iterate Vector booleans 0.004 s 0.522
2022-11-09 22:35 JavaScript Spread Vector uint16Array 0.006 s 0.117
2022-11-09 22:35 JavaScript toArray Vector int64Array
2022-11-09 22:19 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.951 s -0.501
2022-11-09 22:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.254 s 0.498
2022-11-09 22:26 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.304 s -0.331
2022-11-09 22:35 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.423
2022-11-09 22:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s 0.088
2022-11-09 22:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.777 s 0.342
2022-11-09 22:26 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.447 s -0.134
2022-11-09 22:35 JavaScript Spread Vector numbers 0.008 s 0.677
2022-11-09 22:25 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.891 s -0.377
2022-11-09 22:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s 0.163
2022-11-09 22:35 JavaScript Iterate Vector string 0.125 s 0.947
2022-11-09 22:35 JavaScript Spread Vector int16Array 0.007 s -0.294
2022-11-09 22:35 JavaScript Spread Vector float64Array 0.008 s 0.481
2022-11-09 22:35 JavaScript Spread Vector string 0.145 s 0.538
2022-11-09 22:35 JavaScript toArray Vector booleans 0.010 s 1.079
2022-11-09 22:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.378 s 0.334
2022-11-09 22:26 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.222 s 0.134
2022-11-09 22:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.157
2022-11-09 22:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.158
2022-11-09 22:26 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.375
2022-11-09 22:34 JavaScript vectorFromArray numbers 0.016 s 0.404
2022-11-09 22:35 JavaScript vectorFromArray dictionary 0.016 s 1.046
2022-11-09 22:35 JavaScript get Vector booleans 0.002 s -0.424
2022-11-09 22:35 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.066
2022-11-09 22:35 JavaScript Table tracks, 1,000,000 0.317 s -1.962
2022-11-09 22:35 JavaScript Iterate Vector uint16Array 0.002 s 0.072
2022-11-09 22:35 JavaScript Iterate Vector uint64Array 0.004 s 0.805
2022-11-09 22:35 JavaScript Iterate Vector int16Array 0.002 s -0.195
2022-11-09 22:23 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.890 s 0.363
2022-11-09 22:35 JavaScript vectorFromArray booleans 0.018 s -0.377
2022-11-09 22:35 JavaScript toArray Vector dictionary 0.010 s -0.189
2022-11-09 22:35 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.176
2022-11-09 22:35 JavaScript Spread Vector int8Array 0.006 s 0.272
2022-11-09 22:35 JavaScript Spread Vector int32Array 0.006 s 0.026
2022-11-09 22:35 JavaScript Spread Vector float32Array 0.008 s 0.132
2022-11-09 22:35 JavaScript Iterate Vector uint8Array 0.002 s 0.024
2022-11-09 22:35 JavaScript Iterate Vector uint32Array 0.002 s 0.361
2022-11-09 22:35 JavaScript Iterate Vector int8Array 0.002 s 0.007
2022-11-09 22:35 JavaScript Iterate Vector int32Array 0.002 s 0.101
2022-11-09 22:35 JavaScript toArray Vector int32Array
2022-11-09 22:35 JavaScript Spread Vector uint64Array 0.012 s -0.203
2022-11-09 22:35 JavaScript toArray Vector uint64Array
2022-11-09 22:35 JavaScript toArray Vector int16Array
2022-11-09 22:35 JavaScript get Vector float64Array 0.002 s 0.063
2022-11-09 22:35 JavaScript Iterate Vector int64Array 0.004 s 0.280
2022-11-09 22:35 JavaScript Iterate Vector float64Array 0.002 s 0.512
2022-11-09 22:35 JavaScript Spread Vector int64Array 0.012 s 1.510
2022-11-09 22:35 JavaScript Spread Vector booleans 0.010 s 0.223
2022-11-09 22:35 JavaScript toArray Vector uint16Array
2022-11-09 22:35 JavaScript get Vector uint16Array 0.003 s 1.247
2022-11-09 22:35 JavaScript Iterate Vector float32Array 0.002 s 0.342
2022-11-09 22:35 JavaScript Spread Vector uint8Array 0.006 s 0.777
2022-11-09 22:35 JavaScript toArray Vector uint8Array
2022-11-09 22:35 JavaScript toArray Vector uint32Array
2022-11-09 22:35 JavaScript toArray Vector float32Array
2022-11-09 22:35 JavaScript get Vector int32Array 0.002 s 1.608
2022-11-09 22:35 JavaScript Iterate Vector numbers 0.002 s 0.355
2022-11-09 22:35 JavaScript Iterate Vector dictionary 0.004 s 0.876
2022-11-09 22:35 JavaScript toArray Vector int8Array
2022-11-09 22:35 JavaScript toArray Vector numbers
2022-11-09 22:35 JavaScript Table tracks, 1,000,000 0.050 s 0.039
2022-11-09 22:35 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.097
2022-11-09 22:35 JavaScript Spread Vector uint32Array 0.006 s 0.687
2022-11-09 22:35 JavaScript Spread Vector dictionary 0.010 s 0.065
2022-11-09 22:35 JavaScript get Vector uint32Array 0.003 s 1.453
2022-11-09 22:35 JavaScript get Vector int8Array 0.003 s 1.093
2022-11-09 22:35 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.912
2022-11-09 22:35 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.004
2022-11-09 22:35 JavaScript toArray Vector float64Array
2022-11-09 22:35 JavaScript toArray Vector string 0.143 s 1.327
2022-11-09 22:35 JavaScript get Vector int16Array 0.003 s 1.608
2022-11-09 22:35 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.860
2022-11-09 22:35 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.001 s -2.178
2022-11-09 22:35 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.175
2022-11-09 22:35 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-09 22:35 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.775
2022-11-09 22:35 JavaScript get Vector uint8Array 0.003 s 1.339
2022-11-09 22:35 JavaScript get Vector float32Array 0.002 s 0.161
2022-11-09 22:35 JavaScript get Vector dictionary 0.002 s 0.064
2022-11-09 22:35 JavaScript Parse read recordBatches, tracks 0.000 s -0.560
2022-11-09 22:35 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.041 s -5.698
2022-11-09 22:35 JavaScript get Vector uint64Array 0.003 s 1.504
2022-11-09 22:35 JavaScript get Vector string 0.124 s 0.527
2022-11-09 22:35 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -2.990
2022-11-09 22:35 JavaScript Table tracks, 1,000,000 0.094 s 1.478
2022-11-09 22:35 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.093
2022-11-09 22:35 JavaScript get Vector int64Array 0.003 s 0.986
2022-11-09 22:35 JavaScript Parse write recordBatches, tracks 0.002 s 1.259
2022-11-09 22:35 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.038 s 0.825
2022-11-09 22:35 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-09 22:35 JavaScript get Vector numbers 0.002 s 0.143
2022-11-09 22:35 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -1.336
2022-11-09 22:35 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.883
2022-11-09 22:35 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-09 22:35 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.191 s -1.052
2022-11-09 22:35 JavaScript Table 1,000,000, tracks 0.310 s -1.661
2022-11-09 22:35 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -0.945
2022-11-09 22:35 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-09 22:35 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.833