Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-10 01:04 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.250 s -0.633
2022-11-10 01:01 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.681 s 0.379
2022-11-10 01:07 Python dataframe-to-table type_integers 0.010 s 1.628
2022-11-10 01:07 Python dataset-filter nyctaxi_2010-01 1.008 s -0.218
2022-11-10 01:07 Python dataframe-to-table type_floats 0.011 s 0.064
2022-11-10 01:03 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.428 s -0.482
2022-11-10 01:07 Python dataframe-to-table type_strings 0.452 s -0.658
2022-11-10 01:02 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.643 s -0.476
2022-11-10 01:07 Python dataframe-to-table type_dict 0.012 s -0.471
2022-11-10 01:07 Python dataframe-to-table type_nested 2.807 s 1.111
2022-11-10 01:17 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 92.123 s -4.035
2022-11-10 01:01 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.256 s -0.488
2022-11-10 01:03 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.600 s -0.457
2022-11-10 01:05 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.156 s -0.483
2022-11-10 01:06 Python dataframe-to-table chi_traffic_2020_Q1 19.920 s 2.141
2022-11-10 01:04 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.134 s -0.423
2022-11-10 01:12 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 100.605 s -2.218
2022-11-10 01:36 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.568 s 1.931
2022-11-10 01:39 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.367 s 1.119
2022-11-10 01:50 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -1.104
2022-11-10 01:37 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.409 s 1.713
2022-11-10 01:40 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.752 s 1.837
2022-11-10 01:31 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.640 s -2.467
2022-11-10 01:31 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.517 s -1.191
2022-11-10 01:31 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.654 s -2.036
2022-11-10 01:32 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.385 s -0.908
2022-11-10 01:30 Python dataset-read async=True, nyctaxi_multi_ipc_s3 255.200 s -3.547
2022-11-10 01:30 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.275 s -0.029
2022-11-10 01:30 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.166 s 0.299
2022-11-10 01:30 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.229 s -0.151
2022-11-10 01:30 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.674 s -0.007
2022-11-10 01:31 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.164 s -0.749
2022-11-10 01:31 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.205 s -1.332
2022-11-10 01:31 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.131 s -0.209
2022-11-10 01:39 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.514 s 2.276
2022-11-10 01:32 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.972 s -0.764
2022-11-10 01:35 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.370 s 0.983
2022-11-10 01:48 R dataframe-to-table type_strings, R 0.537 s 0.662
2022-11-10 01:50 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.845 s 0.525
2022-11-10 01:50 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.902 s -1.203
2022-11-10 01:49 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.325 s -1.020
2022-11-10 01:51 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.904 s -1.127
2022-11-10 01:51 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.393
2022-11-10 01:31 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.335 s -0.758
2022-11-10 01:32 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.606 s -0.610
2022-11-10 01:48 R dataframe-to-table chi_traffic_2020_Q1, R 4.298 s 0.077
2022-11-10 01:30 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.047 s 0.167
2022-11-10 01:30 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.046 s 0.188
2022-11-10 01:32 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.792 s -0.744
2022-11-10 01:32 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.955 s 0.164
2022-11-10 01:34 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.250 s 1.966
2022-11-10 01:37 Python file-write lz4, feather, table, fanniemae_2016Q4 1.554 s 0.388
2022-11-10 01:50 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.551 s -0.944
2022-11-10 01:48 R dataframe-to-table type_dict, R 0.057 s 0.124
2022-11-10 01:48 R dataframe-to-table type_integers, R 0.010 s 1.315
2022-11-10 01:51 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.823 s -0.846
2022-11-10 01:32 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.922 s -0.497
2022-11-10 01:32 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.938 s -1.610
2022-11-10 01:32 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.937 s -0.132
2022-11-10 01:33 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.032 s 1.046
2022-11-10 01:30 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.283 s 0.194
2022-11-10 01:31 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.688 s -6.112
2022-11-10 01:39 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 8.972 s 2.396
2022-11-10 01:49 R dataframe-to-table type_nested, R 0.571 s 0.875
2022-11-10 01:49 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.332 s -1.238
2022-11-10 01:32 Python file-read lz4, feather, table, fanniemae_2016Q4 0.828 s -0.489
2022-11-10 01:33 Python file-read lz4, feather, table, nyctaxi_2010-01 0.677 s 2.307
2022-11-10 01:33 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.379 s -0.798
2022-11-10 01:38 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.047 s 2.305
2022-11-10 01:40 Python wide-dataframe use_legacy_dataset=false 0.509 s 0.770
2022-11-10 01:50 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.506
2022-11-10 01:48 R dataframe-to-table type_floats, R 0.013 s 0.955
2022-11-10 01:36 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.089 s -0.624
2022-11-10 01:52 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.485 s 1.053
2022-11-10 01:37 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.387 s 1.790
2022-11-10 01:38 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.593 s 1.980
2022-11-10 01:40 Python file-write lz4, feather, table, nyctaxi_2010-01 1.683 s 0.220
2022-11-10 01:51 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.555 s -0.995
2022-11-10 01:39 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.023 s -2.752
2022-11-10 01:49 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.586 s -1.206
2022-11-10 01:51 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.909 s -0.989
2022-11-10 01:40 Python wide-dataframe use_legacy_dataset=true 0.371 s 0.706
2022-11-10 01:50 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.594 s 0.156
2022-11-10 01:51 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s -0.905
2022-11-10 01:50 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.311 s 1.569
2022-11-10 01:55 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.907 s 1.034
2022-11-10 01:54 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.105 s 1.002
2022-11-10 01:57 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.547 s 1.041
2022-11-10 01:57 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.964 s -1.757
2022-11-10 01:59 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.488 s 0.590
2022-11-10 02:06 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.304 s 0.809
2022-11-10 01:59 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.921 s 0.466
2022-11-10 02:09 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.300
2022-11-10 02:10 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.384
2022-11-10 02:11 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.343 s 0.138
2022-11-10 02:12 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.057 s -0.860
2022-11-10 02:17 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s -0.593
2022-11-10 02:17 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.175 s 0.142
2022-11-10 02:18 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s 0.166
2022-11-10 02:19 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.281 s 0.394
2022-11-10 02:11 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.329 s 0.073
2022-11-10 02:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.285 s 0.264
2022-11-10 02:12 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.228 s 0.236
2022-11-10 02:02 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.001 s 0.868
2022-11-10 02:03 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.954 s 0.699
2022-11-10 02:07 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 0.047
2022-11-10 02:11 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.724 s -0.429
2022-11-10 02:24 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.330 s 0.184
2022-11-10 02:10 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s -0.239
2022-11-10 02:12 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.224
2022-11-10 02:13 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.584 s -0.261
2022-11-10 02:13 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.501 s -0.414
2022-11-10 02:15 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.159 s 0.705
2022-11-10 02:17 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s -0.556
2022-11-10 02:18 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.284 s -0.672
2022-11-10 02:20 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.466
2022-11-10 02:01 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.390 s 0.162
2022-11-10 02:09 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.552 s -0.069
2022-11-10 02:16 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.635 s -0.013
2022-11-10 02:09 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.247 s -0.083
2022-11-10 02:10 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.009 s -0.108
2022-11-10 02:12 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.650 s 0.508
2022-11-10 02:04 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.726 s 0.897
2022-11-10 02:16 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.626 s 0.725
2022-11-10 02:22 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.364 s 0.392
2022-11-10 02:24 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 0.583
2022-11-10 02:36 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.658 s 0.601
2022-11-10 02:05 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.966 s 0.140
2022-11-10 02:08 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.545 s 1.220
2022-11-10 02:09 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.342
2022-11-10 02:07 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.317 s -0.788
2022-11-10 02:08 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.217 s -1.172
2022-11-10 02:15 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.260 s 0.628
2022-11-10 02:18 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.280 s 0.340
2022-11-10 02:20 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.419 s 0.151
2022-11-10 02:27 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.248 s 0.002
2022-11-10 02:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.324
2022-11-10 02:13 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s 0.159
2022-11-10 02:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.264 s 0.443
2022-11-10 02:15 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.910 s -0.305
2022-11-10 02:16 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.310 s 0.750
2022-11-10 02:19 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.656 s -0.395
2022-11-10 02:20 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.384 s 0.209
2022-11-10 02:22 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.766 s -0.039
2022-11-10 02:24 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 0.535
2022-11-10 02:26 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s 0.119
2022-11-10 02:16 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.203
2022-11-10 02:21 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.607 s 0.376
2022-11-10 02:29 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.582 s 0.719
2022-11-10 02:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.570
2022-11-10 02:22 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.708 s -0.199
2022-11-10 02:23 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.490
2022-11-10 02:09 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.577 s 0.494
2022-11-10 02:09 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.236 s 0.094
2022-11-10 02:11 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.429 s -0.090
2022-11-10 02:19 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.367 s -0.036
2022-11-10 02:20 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.772 s 0.174
2022-11-10 02:23 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.940 s 0.993
2022-11-10 02:10 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.041
2022-11-10 02:12 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.264 s 0.297
2022-11-10 02:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.529
2022-11-10 02:24 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.646 s 0.137
2022-11-10 02:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.333 s 0.210
2022-11-10 02:12 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s 0.438
2022-11-10 02:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.194 s 0.375
2022-11-10 02:17 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s -0.075
2022-11-10 02:28 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.210 s -1.051
2022-11-10 02:18 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.332 s 0.074
2022-11-10 02:25 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.900 s 0.165
2022-11-10 02:26 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.860 s 0.946
2022-11-10 02:39 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.424 s -0.411
2022-11-10 02:13 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.925 s -0.634
2022-11-10 02:15 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 0.536
2022-11-10 02:17 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.138
2022-11-10 02:22 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.316 s 0.373
2022-11-10 02:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.228 s 0.392
2022-11-10 02:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.322 s 0.965
2022-11-10 02:15 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.298
2022-11-10 02:19 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.339 s 0.378
2022-11-10 02:27 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.465 s 0.332
2022-11-10 02:31 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.915 s -0.041
2022-11-10 02:32 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.193
2022-11-10 02:37 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s 0.088
2022-11-10 02:17 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s 0.100
2022-11-10 02:20 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.324 s 0.452
2022-11-10 02:25 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.255 s 0.317
2022-11-10 02:30 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s 0.052
2022-11-10 02:17 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.798 s -1.462
2022-11-10 02:21 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.709 s -0.134
2022-11-10 02:26 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.139 s 0.029
2022-11-10 02:27 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.353 s 0.162
2022-11-10 02:32 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.349
2022-11-10 02:22 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.433 s 0.685
2022-11-10 02:32 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.749 s -0.423
2022-11-10 02:32 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.153
2022-11-10 02:34 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.215 s 0.529
2022-11-10 02:20 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.625 s -0.808
2022-11-10 02:25 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.906 s -2.641
2022-11-10 02:30 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.187
2022-11-10 02:37 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.259
2022-11-10 02:39 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.432 s -0.821
2022-11-10 02:23 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.169 s -1.057
2022-11-10 02:29 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.324 s 0.399
2022-11-10 02:33 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.594 s 0.385
2022-11-10 02:35 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.120
2022-11-10 02:43 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.709 s 0.517
2022-11-10 02:21 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.359 s 0.549
2022-11-10 02:22 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.290 s 0.578
2022-11-10 02:24 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.293 s 0.237
2022-11-10 02:27 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.294 s 0.161
2022-11-10 02:32 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.428
2022-11-10 02:33 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.190 s 0.310
2022-11-10 02:34 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.885 s 0.832
2022-11-10 02:22 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.266 s 0.504
2022-11-10 02:25 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.227 s 0.178
2022-11-10 02:26 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.325 s 0.615
2022-11-10 02:38 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.262 s -0.766
2022-11-10 02:42 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.599 s 0.781
2022-11-10 02:25 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.397
2022-11-10 02:27 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.856 s 0.388
2022-11-10 02:29 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.822 s 0.198
2022-11-10 02:31 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.424 s 0.494
2022-11-10 02:29 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 0.404
2022-11-10 02:30 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.254 s 0.125
2022-11-10 02:35 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.313 s 0.359
2022-11-10 02:38 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.292 s -1.498
2022-11-10 02:43 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.442 s -0.196
2022-11-10 02:26 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.524 s 0.370
2022-11-10 02:34 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.528 s -0.169
2022-11-10 02:42 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.377 s 0.366
2022-11-10 02:26 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.200 s 0.307
2022-11-10 02:28 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.511
2022-11-10 02:35 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.264
2022-11-10 02:39 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.861 s -0.210
2022-11-10 02:34 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s 0.061
2022-11-10 02:34 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.033
2022-11-10 02:37 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.544 s -0.764
2022-11-10 02:39 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.308 s -1.151
2022-11-10 02:40 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.075 s -0.307
2022-11-10 02:41 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.315 s 0.313
2022-11-10 02:41 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.366 s 0.176
2022-11-10 02:42 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.846 s 0.370
2022-11-10 02:28 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.512 s 0.552
2022-11-10 02:34 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 1.338
2022-11-10 02:29 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.413 s -0.343
2022-11-10 02:37 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.405 s 0.363
2022-11-10 02:43 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.777 s 0.352
2022-11-10 02:30 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.283 s 0.910
2022-11-10 02:30 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.267
2022-11-10 02:31 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.455 s 1.318
2022-11-10 02:32 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.204 s 0.283
2022-11-10 02:33 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.572 s -0.362
2022-11-10 02:35 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.054 s -0.065
2022-11-10 02:37 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.378
2022-11-10 02:38 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.315 s -0.740
2022-11-10 02:30 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.328 s -0.290
2022-11-10 02:33 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s -0.615
2022-11-10 02:35 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.975 s -0.893
2022-11-10 02:35 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.262 s 0.041
2022-11-10 02:36 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.772 s -0.779
2022-11-10 02:38 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.487 s 0.955
2022-11-10 02:41 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.949 s -0.354
2022-11-10 02:35 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.117
2022-11-10 02:37 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.205 s 0.373
2022-11-10 02:41 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.359
2022-11-10 02:44 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.115 s 0.383
2022-11-10 02:40 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.388 s 0.635
2022-11-10 02:41 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.480
2022-11-10 02:41 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.467
2022-11-10 02:46 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.944 s -0.075
2022-11-10 02:43 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.892 s 0.148
2022-11-10 02:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.862 s -0.257
2022-11-10 02:48 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.237 s 0.322
2022-11-10 02:48 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s -0.009
2022-11-10 02:48 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.254 s 0.405
2022-11-10 02:49 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.303 s 0.199
2022-11-10 02:48 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.107
2022-11-10 02:48 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.320
2022-11-10 02:49 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.445 s 0.122
2022-11-10 02:49 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.329 s -1.077
2022-11-10 02:57 JavaScript Iterate Vector int32Array 0.002 s 0.204
2022-11-10 02:58 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-10 02:58 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-10 02:57 JavaScript get Vector uint16Array 0.003 s -0.636
2022-11-10 02:58 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.629
2022-11-10 02:57 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.041 s -5.223
2022-11-10 02:57 JavaScript vectorFromArray booleans 0.017 s 0.929
2022-11-10 02:57 JavaScript Iterate Vector uint8Array 0.002 s 0.588
2022-11-10 02:57 JavaScript Iterate Vector numbers 0.002 s 0.142
2022-11-10 02:57 JavaScript Spread Vector uint64Array 0.012 s -0.412
2022-11-10 02:57 JavaScript get Vector float32Array 0.002 s 0.120
2022-11-10 02:57 JavaScript get Vector numbers 0.002 s 0.093
2022-11-10 02:57 JavaScript get Vector dictionary 0.002 s 0.751
2022-11-10 02:58 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.516
2022-11-10 02:57 JavaScript Spread Vector float32Array 0.008 s 0.380
2022-11-10 02:57 JavaScript toArray Vector int64Array
2022-11-10 02:57 JavaScript toArray Vector string 0.148 s -1.080
2022-11-10 02:57 JavaScript get Vector uint64Array 0.003 s 0.694
2022-11-10 02:57 JavaScript get Vector int16Array 0.003 s -0.313
2022-11-10 02:57 JavaScript get Vector int64Array 0.003 s 0.504
2022-11-10 02:58 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.372
2022-11-10 02:57 JavaScript get Vector float64Array 0.002 s 0.104
2022-11-10 02:58 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.058
2022-11-10 02:58 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-10 02:58 JavaScript Table tracks, 1,000,000 0.258 s 0.795
2022-11-10 02:58 JavaScript Table tracks, 1,000,000 0.096 s -0.730
2022-11-10 02:57 JavaScript Iterate Vector uint16Array 0.002 s 0.392
2022-11-10 02:57 JavaScript Iterate Vector uint64Array 0.004 s 0.311
2022-11-10 02:58 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.927
2022-11-10 02:57 JavaScript toArray Vector int8Array
2022-11-10 02:57 JavaScript toArray Vector int32Array
2022-11-10 02:57 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.703
2022-11-10 02:57 JavaScript vectorFromArray numbers 0.016 s 0.678
2022-11-10 02:57 JavaScript vectorFromArray dictionary 0.017 s -0.354
2022-11-10 02:57 JavaScript Iterate Vector uint32Array 0.002 s 0.536
2022-11-10 02:57 JavaScript Iterate Vector int8Array 0.002 s 0.850
2022-11-10 02:57 JavaScript Iterate Vector int16Array 0.002 s 0.457
2022-11-10 02:57 JavaScript Iterate Vector int64Array 0.004 s 0.662
2022-11-10 02:57 JavaScript Iterate Vector float64Array 0.002 s 0.432
2022-11-10 02:57 JavaScript Iterate Vector booleans 0.004 s -0.450
2022-11-10 02:57 JavaScript Iterate Vector string 0.129 s -1.154
2022-11-10 02:57 JavaScript Spread Vector uint16Array 0.006 s 0.447
2022-11-10 02:57 JavaScript Iterate Vector float32Array 0.002 s 0.638
2022-11-10 02:57 JavaScript Iterate Vector dictionary 0.004 s 1.252
2022-11-10 02:57 JavaScript Spread Vector uint8Array 0.006 s 0.492
2022-11-10 02:57 JavaScript Spread Vector uint32Array 0.007 s 0.355
2022-11-10 02:57 JavaScript Spread Vector int8Array 0.006 s 0.028
2022-11-10 02:57 JavaScript Spread Vector int32Array 0.006 s 0.083
2022-11-10 02:58 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.503
2022-11-10 02:57 JavaScript Spread Vector int16Array 0.006 s 0.758
2022-11-10 02:57 JavaScript Spread Vector int64Array 0.012 s 0.163
2022-11-10 02:57 JavaScript Spread Vector float64Array 0.008 s 0.452
2022-11-10 02:57 JavaScript Spread Vector booleans 0.010 s -1.388
2022-11-10 02:57 JavaScript Spread Vector string 0.145 s 0.733
2022-11-10 02:57 JavaScript get Vector string 0.126 s -0.764
2022-11-10 02:57 JavaScript Parse write recordBatches, tracks 0.002 s 1.253
2022-11-10 02:57 JavaScript Spread Vector numbers 0.008 s 1.252
2022-11-10 02:57 JavaScript Spread Vector dictionary 0.010 s -0.134
2022-11-10 02:57 JavaScript toArray Vector uint8Array
2022-11-10 02:57 JavaScript toArray Vector uint32Array
2022-11-10 02:57 JavaScript toArray Vector float32Array
2022-11-10 02:57 JavaScript toArray Vector numbers
2022-11-10 02:58 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.557
2022-11-10 02:57 JavaScript toArray Vector uint16Array
2022-11-10 02:57 JavaScript toArray Vector uint64Array
2022-11-10 02:57 JavaScript toArray Vector int16Array
2022-11-10 02:57 JavaScript toArray Vector float64Array
2022-11-10 02:57 JavaScript toArray Vector booleans 0.010 s -1.177
2022-11-10 02:57 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -1.080
2022-11-10 02:58 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.490
2022-11-10 02:57 JavaScript toArray Vector dictionary 0.010 s -0.125
2022-11-10 02:57 JavaScript get Vector uint8Array 0.003 s 0.242
2022-11-10 02:57 JavaScript get Vector uint32Array 0.003 s -0.668
2022-11-10 02:57 JavaScript get Vector int8Array 0.003 s 0.123
2022-11-10 02:57 JavaScript get Vector int32Array 0.003 s -0.581
2022-11-10 02:58 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.597
2022-11-10 02:57 JavaScript get Vector booleans 0.002 s 0.115
2022-11-10 02:57 JavaScript Parse read recordBatches, tracks 0.000 s 0.738
2022-11-10 02:58 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.183 s 2.154
2022-11-10 02:58 JavaScript Table 1,000,000, tracks 0.249 s 1.140
2022-11-10 02:58 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -1.108
2022-11-10 02:58 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.325
2022-11-10 02:58 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.281
2022-11-10 02:58 JavaScript Table tracks, 1,000,000 0.050 s 0.028
2022-11-10 02:58 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.147
2022-11-10 02:58 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-10 02:58 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.111
2022-11-10 02:58 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.049