Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-16 01:51 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.690 s -0.939
2022-11-16 01:51 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.237 s 0.901
2022-11-16 01:53 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.110 s 2.015
2022-11-16 01:52 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.983 s 1.258
2022-11-16 01:53 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.876 s 1.505
2022-11-16 01:57 Python dataframe-to-table type_nested 2.915 s -2.252
2022-11-16 01:53 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.425 s 0.109
2022-11-16 01:57 Python dataset-filter nyctaxi_2010-01 1.009 s -0.140
2022-11-16 01:54 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.601 s 1.548
2022-11-16 01:57 Python dataframe-to-table type_strings 0.445 s 0.346
2022-11-16 01:57 Python dataframe-to-table type_integers 0.010 s 0.163
2022-11-16 02:05 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.645 s 0.302
2022-11-16 01:57 Python dataframe-to-table type_dict 0.011 s 0.597
2022-11-16 01:57 Python dataframe-to-table type_floats 0.011 s -0.026
2022-11-16 01:55 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.490 s 1.691
2022-11-16 02:19 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.553 s 7.278
2022-11-16 01:56 Python dataframe-to-table chi_traffic_2020_Q1 20.587 s -2.151
2022-11-16 02:01 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 82.312 s 0.157
2022-11-16 02:18 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.509 s -0.427
2022-11-16 02:19 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.925 s -0.351
2022-11-16 02:16 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.150 s 0.650
2022-11-16 02:19 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.962 s -0.058
2022-11-16 02:17 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.197 s 0.380
2022-11-16 02:18 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.335 s -0.794
2022-11-16 02:19 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.984 s -1.360
2022-11-16 02:16 Python dataset-read async=True, nyctaxi_multi_ipc_s3 220.010 s 0.362
2022-11-16 02:17 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.202 s -0.108
2022-11-16 02:17 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.289 s 0.167
2022-11-16 02:20 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.042 s 0.471
2022-11-16 02:17 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.038 s 0.251
2022-11-16 02:17 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.036 s 0.217
2022-11-16 02:17 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.669 s -1.380
2022-11-16 02:18 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.508 s -0.151
2022-11-16 02:18 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.635 s 7.430
2022-11-16 02:19 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.205 s 7.953
2022-11-16 02:23 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.057 s -0.294
2022-11-16 02:19 Python file-read lz4, feather, table, nyctaxi_2010-01 0.693 s -1.016
2022-11-16 02:19 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.309 s 4.196
2022-11-16 02:17 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.196 s 0.023
2022-11-16 02:18 Python file-read lz4, feather, table, fanniemae_2016Q4 0.831 s -0.882
2022-11-16 02:19 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.934 s -1.015
2022-11-16 02:17 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.118 s 0.536
2022-11-16 02:21 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.541 s 0.441
2022-11-16 02:17 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.626 s 0.629
2022-11-16 02:18 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.646 s -1.136
2022-11-16 02:19 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.931 s 0.923
2022-11-16 02:17 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.157 s 0.255
2022-11-16 02:21 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.357 s 0.547
2022-11-16 02:22 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.867 s 0.391
2022-11-16 02:24 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.753 s 0.133
2022-11-16 02:24 Python file-write lz4, feather, table, fanniemae_2016Q4 1.559 s -0.218
2022-11-16 02:23 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.725 s 0.273
2022-11-16 02:25 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.095 s 0.883
2022-11-16 02:24 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.598 s 0.789
2022-11-16 02:25 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.525 s 0.872
2022-11-16 02:26 Python wide-dataframe use_legacy_dataset=true 0.374 s 0.371
2022-11-16 02:26 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.010 s 0.986
2022-11-16 02:26 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.973 s 0.145
2022-11-16 02:26 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.408 s 0.471
2022-11-16 02:26 Python wide-dataframe use_legacy_dataset=false 0.504 s 0.930
2022-11-16 02:26 Python file-write lz4, feather, table, nyctaxi_2010-01 1.660 s 0.345
2022-11-16 02:26 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.804 s 0.649
2022-11-16 02:36 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.587 s -1.000
2022-11-16 02:36 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.576 s -0.934
2022-11-16 02:37 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.589 s 0.935
2022-11-16 02:38 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.552 s -0.339
2022-11-16 02:35 R dataframe-to-table type_integers, R 0.010 s 0.574
2022-11-16 02:37 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.845 s 0.676
2022-11-16 02:35 R dataframe-to-table chi_traffic_2020_Q1, R 4.344 s -0.337
2022-11-16 02:35 R dataframe-to-table type_strings, R 0.538 s 0.538
2022-11-16 02:36 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.331 s -0.860
2022-11-16 02:38 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.896 s -0.080
2022-11-16 02:38 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.819 s 0.588
2022-11-16 02:44 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.956 s -0.464
2022-11-16 02:54 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.321 s -1.106
2022-11-16 02:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.412
2022-11-16 03:01 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.305
2022-11-16 03:04 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.394
2022-11-16 02:36 R dataframe-to-table type_nested, R 0.571 s 1.088
2022-11-16 02:37 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.565 s 1.274
2022-11-16 02:51 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.719 s 1.146
2022-11-16 02:57 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.585 s -0.065
2022-11-16 02:59 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.056 s -0.883
2022-11-16 02:35 R dataframe-to-table type_floats, R 0.013 s 1.065
2022-11-16 02:36 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.318 s -0.637
2022-11-16 02:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.626
2022-11-16 03:00 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.191 s 2.102
2022-11-16 02:38 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.897 s 1.425
2022-11-16 02:53 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s -0.505
2022-11-16 02:55 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.223 s -0.971
2022-11-16 02:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.330 s 1.089
2022-11-16 02:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s -0.218
2022-11-16 02:37 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.311 s 1.434
2022-11-16 02:38 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.135
2022-11-16 02:44 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.591 s 0.272
2022-11-16 02:54 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.466 s 0.869
2022-11-16 02:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.344 s -0.355
2022-11-16 02:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.225 s 1.602
2022-11-16 03:01 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.604
2022-11-16 02:35 R dataframe-to-table type_dict, R 0.033 s 3.614
2022-11-16 02:37 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.549 s -0.554
2022-11-16 02:56 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.608 s -1.297
2022-11-16 02:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.419
2022-11-16 02:59 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.647
2022-11-16 02:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.221 s 1.369
2022-11-16 02:57 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.707 s -0.167
2022-11-16 02:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.429 s -0.382
2022-11-16 03:00 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.583 s -0.209
2022-11-16 02:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.286 s 0.024
2022-11-16 03:04 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.731
2022-11-16 02:37 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.891 s -0.004
2022-11-16 02:42 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.945 s 0.274
2022-11-16 02:46 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.490 s 0.918
2022-11-16 02:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.117
2022-11-16 02:39 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.523 s 0.292
2022-11-16 02:41 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.127 s 0.356
2022-11-16 02:56 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.247 s -0.085
2022-11-16 02:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s -0.210
2022-11-16 03:00 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.896 s 1.427
2022-11-16 03:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.653
2022-11-16 03:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.603 s 1.336
2022-11-16 02:38 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.247
2022-11-16 02:48 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.414 s -0.259
2022-11-16 02:50 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.953 s 0.548
2022-11-16 02:57 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.004 s 0.026
2022-11-16 03:02 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.253 s 1.825
2022-11-16 03:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.762 s 1.412
2022-11-16 02:49 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.985 s 1.313
2022-11-16 02:57 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.270 s -0.210
2022-11-16 03:02 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.355
2022-11-16 03:07 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.567 s 0.260
2022-11-16 02:46 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.943 s 0.065
2022-11-16 02:52 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.905 s 0.717
2022-11-16 02:55 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.557 s -0.367
2022-11-16 03:01 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.355
2022-11-16 03:02 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.260 s 1.126
2022-11-16 02:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.194 s 0.253
2022-11-16 02:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.264 s 0.312
2022-11-16 03:05 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.278 s -0.402
2022-11-16 03:13 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.200 s 0.417
2022-11-16 02:56 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.564 s -0.666
2022-11-16 03:00 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.583 s -1.617
2022-11-16 03:01 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.790
2022-11-16 03:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.707 s -0.022
2022-11-16 03:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s -0.498
2022-11-16 02:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.294 s 2.194
2022-11-16 03:02 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.892 s 1.362
2022-11-16 03:03 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.310 s 1.353
2022-11-16 03:05 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.295
2022-11-16 03:12 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.204 s 1.237
2022-11-16 03:01 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 0.968
2022-11-16 03:06 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.367 s -0.429
2022-11-16 03:06 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s -0.443
2022-11-16 03:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.521 s 0.775
2022-11-16 03:04 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.156 s 0.949
2022-11-16 03:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.188 s -1.035
2022-11-16 03:22 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.548
2022-11-16 03:04 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.726 s -0.488
2022-11-16 03:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.426 s -0.012
2022-11-16 03:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.200 s 1.307
2022-11-16 03:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 0.973
2022-11-16 03:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.434 s 1.156
2022-11-16 03:15 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.217 s -0.835
2022-11-16 03:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.297 s -0.916
2022-11-16 03:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.202 s 1.682
2022-11-16 03:02 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.178 s -0.634
2022-11-16 03:04 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.106
2022-11-16 03:07 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.418 s 0.333
2022-11-16 03:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.738 s -0.362
2022-11-16 03:10 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.121 s -0.304
2022-11-16 03:11 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.330 s 0.507
2022-11-16 03:11 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.646 s 0.288
2022-11-16 03:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.714 s -0.016
2022-11-16 03:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.291 s 0.676
2022-11-16 03:12 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 1.127
2022-11-16 03:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.431
2022-11-16 03:20 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.595 s 0.314
2022-11-16 03:02 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s -0.023
2022-11-16 03:04 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s -0.370
2022-11-16 03:05 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.334 s -0.711
2022-11-16 03:15 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.530 s -1.671
2022-11-16 03:03 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.624 s 2.509
2022-11-16 03:04 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.471
2022-11-16 03:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.323 s 1.157
2022-11-16 03:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.819 s 1.063
2022-11-16 03:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.086
2022-11-16 03:26 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.433 s -0.518
2022-11-16 03:03 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.637 s -0.246
2022-11-16 03:12 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s -0.366
2022-11-16 03:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.293 s 0.250
2022-11-16 03:23 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.625 s 0.620
2022-11-16 03:25 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.317 s -0.532
2022-11-16 03:05 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.293
2022-11-16 03:05 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.280 s 0.533
2022-11-16 03:10 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.952 s -0.377
2022-11-16 03:12 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.887 s 2.206
2022-11-16 03:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.356 s -0.453
2022-11-16 03:15 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.224 s -0.484
2022-11-16 03:13 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.248 s -0.053
2022-11-16 03:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.871 s -1.096
2022-11-16 03:07 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.384 s 0.552
2022-11-16 03:15 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.672
2022-11-16 03:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.168
2022-11-16 03:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.083
2022-11-16 03:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.280 s 0.225
2022-11-16 03:26 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.302 s -0.203
2022-11-16 03:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.329 s 1.011
2022-11-16 03:10 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.246 s 1.327
2022-11-16 03:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 1.074
2022-11-16 03:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.314 s 1.711
2022-11-16 03:19 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.717 s 0.482
2022-11-16 03:22 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.214 s 0.750
2022-11-16 03:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s 0.187
2022-11-16 03:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s -0.466
2022-11-16 03:12 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.304
2022-11-16 03:18 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.491 s -0.141
2022-11-16 03:25 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.511 s -0.588
2022-11-16 03:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.409 s 0.506
2022-11-16 03:20 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.216 s 0.397
2022-11-16 03:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.266 s 1.070
2022-11-16 03:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.381
2022-11-16 03:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.233 s 1.265
2022-11-16 03:23 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.657 s 1.616
2022-11-16 03:23 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.188 s 1.595
2022-11-16 03:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.768 s -0.639
2022-11-16 03:10 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.293 s 0.756
2022-11-16 03:15 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.327 s -0.764
2022-11-16 03:20 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s -0.264
2022-11-16 03:22 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.316 s -0.156
2022-11-16 03:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.865 s -0.106
2022-11-16 03:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.466 s 0.382
2022-11-16 03:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.584 s 0.258
2022-11-16 03:17 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.318 s 0.256
2022-11-16 03:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.531 s -2.683
2022-11-16 03:20 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.768
2022-11-16 03:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.320 s 1.005
2022-11-16 03:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.877 s 1.261
2022-11-16 03:24 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.564
2022-11-16 03:18 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.914 s 0.240
2022-11-16 03:20 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.580 s -0.268
2022-11-16 03:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.054 s 0.003
2022-11-16 03:24 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.204 s 1.160
2022-11-16 03:24 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.324
2022-11-16 03:25 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.201 s 0.755
2022-11-16 03:25 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.428 s -0.513
2022-11-16 03:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s 0.110
2022-11-16 03:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.575 s 0.477
2022-11-16 03:22 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.262 s -0.140
2022-11-16 03:22 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.972 s -0.828
2022-11-16 03:24 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.538 s -0.132
2022-11-16 03:22 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.450
2022-11-16 03:24 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.237 s 0.377
2022-11-16 03:25 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.262 s -0.346
2022-11-16 03:26 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.865 s -0.510
2022-11-16 03:27 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.416 s -0.441
2022-11-16 03:27 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.103 s -1.150
2022-11-16 03:27 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.252 s 2.704
2022-11-16 03:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.424
2022-11-16 03:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.317 s 0.111
2022-11-16 03:28 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.253 s 2.380
2022-11-16 03:28 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.284 s 2.099
2022-11-16 03:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.948 s -0.176
2022-11-16 03:30 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.778 s 0.217
2022-11-16 03:29 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.594 s 3.512
2022-11-16 03:29 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s -0.203
2022-11-16 03:29 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.924 s -0.982
2022-11-16 03:29 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.381 s -0.078
2022-11-16 03:30 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.714 s -0.018
2022-11-16 03:35 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.192 s 0.862
2022-11-16 03:30 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.877 s 0.634
2022-11-16 03:44 JavaScript toArray Vector uint8Array
2022-11-16 03:30 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.098 s 0.980
2022-11-16 03:34 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.815 s -0.314
2022-11-16 03:44 JavaScript get Vector float64Array 0.002 s 0.101
2022-11-16 03:36 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.306 s -1.137
2022-11-16 03:44 JavaScript Iterate Vector uint8Array 0.002 s 0.011
2022-11-16 03:44 JavaScript Spread Vector numbers 0.008 s 0.297
2022-11-16 03:44 JavaScript Parse read recordBatches, tracks 0.000 s 0.445
2022-11-16 03:36 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.307 s -0.290
2022-11-16 03:44 JavaScript get Vector numbers 0.002 s 0.060
2022-11-16 03:44 JavaScript get Vector dictionary 0.002 s 0.465
2022-11-16 03:44 JavaScript Iterate Vector float32Array 0.002 s 0.833
2022-11-16 03:44 JavaScript Spread Vector dictionary 0.010 s -0.200
2022-11-16 03:44 JavaScript toArray Vector uint32Array
2022-11-16 03:44 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.562
2022-11-16 03:44 JavaScript Spread Vector uint32Array 0.007 s 0.135
2022-11-16 03:44 JavaScript Spread Vector int8Array 0.006 s 0.129
2022-11-16 03:35 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.222 s -0.245
2022-11-16 03:35 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.446 s -0.162
2022-11-16 03:44 JavaScript Iterate Vector int16Array 0.002 s 0.242
2022-11-16 03:44 JavaScript Iterate Vector string 0.125 s 0.713
2022-11-16 03:44 JavaScript toArray Vector uint64Array
2022-11-16 03:44 JavaScript get Vector string 0.125 s -0.006
2022-11-16 03:44 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 03:44 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.258
2022-11-16 03:44 JavaScript vectorFromArray booleans 0.018 s 0.397
2022-11-16 03:44 JavaScript Spread Vector int32Array 0.007 s 0.103
2022-11-16 03:44 JavaScript Spread Vector float32Array 0.008 s 0.272
2022-11-16 03:44 JavaScript vectorFromArray dictionary 0.017 s 0.321
2022-11-16 03:44 JavaScript Iterate Vector booleans 0.004 s 0.420
2022-11-16 03:33 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.937 s 0.045
2022-11-16 03:35 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.526
2022-11-16 03:35 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.255 s 0.238
2022-11-16 03:44 JavaScript Iterate Vector uint16Array 0.002 s 0.464
2022-11-16 03:44 JavaScript Iterate Vector int64Array 0.004 s -0.748
2022-11-16 03:44 JavaScript Spread Vector int16Array 0.006 s 0.322
2022-11-16 03:35 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.237 s 0.507
2022-11-16 03:44 JavaScript vectorFromArray numbers 0.016 s 0.372
2022-11-16 03:44 JavaScript Iterate Vector float64Array 0.002 s 0.783
2022-11-16 03:44 JavaScript Spread Vector uint64Array 0.012 s -0.815
2022-11-16 03:44 JavaScript toArray Vector uint16Array
2022-11-16 03:44 JavaScript toArray Vector int16Array
2022-11-16 03:44 JavaScript toArray Vector int64Array
2022-11-16 03:44 JavaScript Iterate Vector uint32Array 0.002 s 0.394
2022-11-16 03:44 JavaScript Iterate Vector int8Array 0.002 s 0.338
2022-11-16 03:44 JavaScript Iterate Vector int32Array 0.002 s 0.424
2022-11-16 03:44 JavaScript Iterate Vector numbers 0.002 s 0.823
2022-11-16 03:44 JavaScript Iterate Vector dictionary 0.004 s -0.126
2022-11-16 03:44 JavaScript Iterate Vector uint64Array 0.004 s -0.977
2022-11-16 03:44 JavaScript Spread Vector string 0.147 s -0.493
2022-11-16 03:44 JavaScript Spread Vector uint8Array 0.006 s 0.227
2022-11-16 03:44 JavaScript Spread Vector uint16Array 0.006 s 0.272
2022-11-16 03:44 JavaScript Spread Vector int64Array 0.012 s -0.461
2022-11-16 03:44 JavaScript Spread Vector float64Array 0.008 s 0.300
2022-11-16 03:44 JavaScript Spread Vector booleans 0.010 s 0.818
2022-11-16 03:44 JavaScript toArray Vector string 0.144 s 0.707
2022-11-16 03:44 JavaScript get Vector uint16Array 0.003 s -1.402
2022-11-16 03:44 JavaScript toArray Vector int8Array
2022-11-16 03:44 JavaScript toArray Vector int32Array
2022-11-16 03:44 JavaScript toArray Vector numbers
2022-11-16 03:44 JavaScript toArray Vector dictionary 0.010 s -0.136
2022-11-16 03:44 JavaScript get Vector uint8Array 0.003 s -4.547
2022-11-16 03:44 JavaScript get Vector uint32Array 0.003 s -1.138
2022-11-16 03:44 JavaScript toArray Vector float32Array
2022-11-16 03:44 JavaScript toArray Vector float64Array
2022-11-16 03:44 JavaScript toArray Vector booleans 0.010 s 0.518
2022-11-16 03:44 JavaScript get Vector uint64Array 0.003 s -2.871
2022-11-16 03:44 JavaScript get Vector int16Array 0.003 s -1.947
2022-11-16 03:44 JavaScript Parse write recordBatches, tracks 0.002 s 1.106
2022-11-16 03:44 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.300
2022-11-16 03:44 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 03:44 JavaScript Table tracks, 1,000,000 0.095 s 0.486
2022-11-16 03:44 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.427
2022-11-16 03:44 JavaScript get Vector int8Array 0.003 s -1.548
2022-11-16 03:44 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.294
2022-11-16 03:44 JavaScript Table 1,000,000, tracks 0.250 s 1.001
2022-11-16 03:44 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.011
2022-11-16 03:44 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.073 s -161.372
2022-11-16 03:44 JavaScript get Vector int32Array 0.003 s -2.246
2022-11-16 03:44 JavaScript get Vector float32Array 0.002 s -0.004
2022-11-16 03:44 JavaScript get Vector int64Array 0.003 s -1.087
2022-11-16 03:44 JavaScript get Vector booleans 0.002 s 0.388
2022-11-16 03:44 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.658
2022-11-16 03:44 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.387
2022-11-16 03:44 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.497
2022-11-16 03:44 JavaScript Table tracks, 1,000,000 0.252 s 1.052
2022-11-16 03:44 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.513
2022-11-16 03:44 JavaScript Table tracks, 1,000,000 0.050 s 0.073
2022-11-16 03:44 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.507
2022-11-16 03:44 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.625
2022-11-16 03:44 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.502
2022-11-16 03:44 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.004
2022-11-16 03:44 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.001 s -0.572
2022-11-16 03:44 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.276
2022-11-16 03:44 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.029
2022-11-16 03:44 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 03:44 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 03:44 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.191 s -0.852