Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-16 08:17 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.165 s 0.646
2022-11-16 08:18 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.421 s 0.777
2022-11-16 08:22 Python dataframe-to-table type_nested 2.923 s -1.943
2022-11-16 08:16 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.250 s -0.050
2022-11-16 08:18 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.070 s 0.826
2022-11-16 08:19 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.819 s 0.435
2022-11-16 08:22 Python dataset-filter nyctaxi_2010-01 1.007 s -0.040
2022-11-16 08:21 Python dataframe-to-table chi_traffic_2020_Q1 20.523 s -1.594
2022-11-16 08:16 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.682 s -0.118
2022-11-16 08:18 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.124 s 0.527
2022-11-16 08:21 Python dataframe-to-table type_strings 0.448 s -0.106
2022-11-16 08:21 Python dataframe-to-table type_integers 0.010 s 0.487
2022-11-16 08:21 Python dataframe-to-table type_dict 0.011 s 1.426
2022-11-16 08:19 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.867 s 0.508
2022-11-16 08:27 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 101.772 s -2.210
2022-11-16 08:21 Python dataframe-to-table type_floats 0.011 s -0.020
2022-11-16 08:32 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 91.718 s -2.410
2022-11-16 08:44 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.179 s 0.219
2022-11-16 08:44 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.301 s -0.018
2022-11-16 08:45 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.054 s 0.092
2022-11-16 08:47 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.967 s -0.257
2022-11-16 08:47 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.314 s 3.303
2022-11-16 08:48 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.046 s 0.374
2022-11-16 08:46 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.974 s -0.636
2022-11-16 08:46 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.204 s 5.294
2022-11-16 08:45 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.167 s -0.726
2022-11-16 08:46 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.331 s -0.436
2022-11-16 08:47 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.919 s 0.020
2022-11-16 08:47 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.552 s 5.169
2022-11-16 08:44 Python dataset-read async=True, nyctaxi_multi_ipc_s3 250.448 s -1.783
2022-11-16 08:46 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.631 s 5.077
2022-11-16 08:49 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.550 s 0.369
2022-11-16 08:44 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.244 s -0.263
2022-11-16 08:45 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.665 s -1.587
2022-11-16 08:50 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.852 s 0.392
2022-11-16 08:45 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.665 s -1.191
2022-11-16 08:51 Python file-write lz4, feather, table, fanniemae_2016Q4 1.552 s 0.435
2022-11-16 08:52 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.592 s 0.905
2022-11-16 08:47 Python file-read lz4, feather, table, nyctaxi_2010-01 0.690 s -0.562
2022-11-16 08:45 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.215 s -1.986
2022-11-16 08:45 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.507 s -0.343
2022-11-16 08:47 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.951 s -2.159
2022-11-16 08:44 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.320 s -0.285
2022-11-16 08:45 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.129 s 0.063
2022-11-16 08:46 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.508 s -0.116
2022-11-16 08:46 Python file-read lz4, feather, table, fanniemae_2016Q4 0.821 s 0.458
2022-11-16 08:45 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.053 s 0.117
2022-11-16 08:45 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.700 s -0.354
2022-11-16 08:47 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.937 s -0.125
2022-11-16 08:50 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.029 s -0.087
2022-11-16 08:49 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.347 s 0.557
2022-11-16 08:51 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.762 s 0.134
2022-11-16 08:52 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.700 s 0.304
2022-11-16 08:53 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.098 s 0.787
2022-11-16 08:53 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.527 s 0.730
2022-11-16 08:54 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.821 s 0.347
2022-11-16 08:53 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.008 s 0.957
2022-11-16 08:54 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.978 s -0.054
2022-11-16 08:54 Python file-write lz4, feather, table, nyctaxi_2010-01 1.751 s -0.624
2022-11-16 08:54 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.446 s -0.082
2022-11-16 08:54 Python wide-dataframe use_legacy_dataset=false 0.515 s 0.111
2022-11-16 08:54 Python wide-dataframe use_legacy_dataset=true 0.372 s 0.467
2022-11-16 09:04 R dataframe-to-table type_integers, R 0.010 s 0.307
2022-11-16 09:20 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.719 s 1.063
2022-11-16 09:25 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.595 s -1.842
2022-11-16 09:28 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.262 s 2.251
2022-11-16 09:31 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.190 s -1.596
2022-11-16 09:06 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s -0.593
2022-11-16 09:04 R dataframe-to-table type_strings, R 0.536 s 1.104
2022-11-16 09:13 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.581 s 0.272
2022-11-16 09:07 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.584 s -0.586
2022-11-16 09:11 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.921 s 0.387
2022-11-16 09:04 R dataframe-to-table type_dict, R 0.032 s 3.011
2022-11-16 09:15 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 0.987
2022-11-16 09:06 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.610 s -1.840
2022-11-16 09:08 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.494 s 0.437
2022-11-16 09:05 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.586 s -0.865
2022-11-16 09:07 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.896 s -0.050
2022-11-16 09:10 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.167 s 0.034
2022-11-16 09:07 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.552 s -0.318
2022-11-16 09:04 R dataframe-to-table type_floats, R 0.013 s 1.010
2022-11-16 09:31 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s 0.675
2022-11-16 09:34 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.283 s -0.434
2022-11-16 09:05 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.328 s -0.983
2022-11-16 09:06 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.549 s -0.461
2022-11-16 09:07 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s -1.211
2022-11-16 09:05 R dataframe-to-table type_nested, R 0.571 s 1.106
2022-11-16 09:15 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.961 s -0.408
2022-11-16 09:06 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.574 s -0.777
2022-11-16 09:07 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.818 s 0.655
2022-11-16 09:24 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.550 s 0.564
2022-11-16 09:27 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.612
2022-11-16 09:30 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.192 s 1.436
2022-11-16 09:32 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.344 s 1.746
2022-11-16 09:04 R dataframe-to-table chi_traffic_2020_Q1, R 4.345 s -0.345
2022-11-16 09:07 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.893 s -0.119
2022-11-16 09:07 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.894 s 1.896
2022-11-16 09:26 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.276 s 0.665
2022-11-16 09:29 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.294 s 2.284
2022-11-16 09:29 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.896 s 1.537
2022-11-16 09:06 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.860 s -1.441
2022-11-16 09:14 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.951 s 0.612
2022-11-16 09:26 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.286
2022-11-16 09:31 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.889 s 1.645
2022-11-16 09:32 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.314 s -0.016
2022-11-16 09:05 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.333 s -0.865
2022-11-16 09:06 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.523
2022-11-16 09:25 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.243 s 0.798
2022-11-16 09:38 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.756 s -0.589
2022-11-16 09:27 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.937
2022-11-16 09:27 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.345 s -0.808
2022-11-16 09:32 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.632 s 0.528
2022-11-16 09:36 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.764 s 0.983
2022-11-16 09:37 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.710 s -0.394
2022-11-16 09:17 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.426 s -0.585
2022-11-16 09:22 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.305 s 0.744
2022-11-16 09:24 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.228 s -1.162
2022-11-16 09:27 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.328 s 0.687
2022-11-16 09:28 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.225 s 1.616
2022-11-16 09:18 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.986 s 1.206
2022-11-16 09:33 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.197 s 1.280
2022-11-16 09:33 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.064
2022-11-16 09:35 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.654 s -0.224
2022-11-16 09:19 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.951 s 0.539
2022-11-16 09:27 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.428 s -0.044
2022-11-16 09:26 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s -0.120
2022-11-16 09:27 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.331 s 0.476
2022-11-16 09:28 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.046 s 0.002
2022-11-16 09:28 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.221 s 1.233
2022-11-16 09:30 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s -0.336
2022-11-16 09:21 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.904 s 0.699
2022-11-16 09:28 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.419
2022-11-16 09:28 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.297 s 0.991
2022-11-16 09:33 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.299
2022-11-16 09:35 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s -0.422
2022-11-16 09:23 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.467 s 0.561
2022-11-16 09:25 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s 0.025
2022-11-16 09:25 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.233 s 1.971
2022-11-16 09:25 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.198 s -0.636
2022-11-16 09:30 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.654
2022-11-16 09:33 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.748 s -0.808
2022-11-16 09:23 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.326 s -1.345
2022-11-16 09:29 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.577 s -1.483
2022-11-16 09:36 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.725
2022-11-16 09:25 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.577 s 0.498
2022-11-16 09:31 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.307 s 0.600
2022-11-16 09:36 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.324 s 0.845
2022-11-16 09:34 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.279 s 0.723
2022-11-16 09:39 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.161 s -1.025
2022-11-16 09:26 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s -0.296
2022-11-16 09:27 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.728 s -0.415
2022-11-16 09:32 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.623 s 2.720
2022-11-16 09:33 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.156 s 0.973
2022-11-16 09:30 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.226 s 2.213
2022-11-16 09:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.333 s -0.414
2022-11-16 09:36 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.383 s 0.924
2022-11-16 09:37 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.602 s 1.656
2022-11-16 09:38 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.366 s 0.375
2022-11-16 09:29 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.581 s 0.199
2022-11-16 09:30 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.053
2022-11-16 09:31 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 0.559
2022-11-16 09:36 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.418 s 0.437
2022-11-16 09:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.679
2022-11-16 09:30 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.236 s 1.630
2022-11-16 09:35 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.281 s 0.651
2022-11-16 09:37 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 0.951
2022-11-16 09:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.292 s 1.476
2022-11-16 09:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.330 s 0.731
2022-11-16 09:33 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.229 s 0.625
2022-11-16 09:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.314 s 1.244
2022-11-16 09:33 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.504 s -0.137
2022-11-16 09:41 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.895 s 0.546
2022-11-16 09:34 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.272
2022-11-16 09:35 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.337 s 1.082
2022-11-16 09:41 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.717 s 0.007
2022-11-16 09:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.290 s 0.884
2022-11-16 09:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 1.072
2022-11-16 09:36 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.692 s -1.775
2022-11-16 09:38 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.763 s 0.293
2022-11-16 09:39 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.949 s 0.172
2022-11-16 09:38 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 0.857
2022-11-16 09:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.435 s 0.640
2022-11-16 09:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.646 s 0.452
2022-11-16 09:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.246 s 1.103
2022-11-16 09:43 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.354 s 0.441
2022-11-16 09:41 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.226 s 0.522
2022-11-16 09:41 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.292
2022-11-16 09:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.255 s 1.070
2022-11-16 09:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.298 s 0.805
2022-11-16 09:42 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.327 s -0.262
2022-11-16 09:42 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.864 s 0.039
2022-11-16 09:43 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.292 s 0.865
2022-11-16 09:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s 0.125
2022-11-16 09:42 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s 0.165
2022-11-16 09:43 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.469 s -0.582
2022-11-16 09:43 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.867 s -0.607
2022-11-16 09:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.135 s 0.342
2022-11-16 09:43 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.247 s 0.786
2022-11-16 09:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 0.719
2022-11-16 09:50 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.279 s 1.291
2022-11-16 09:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s 0.092
2022-11-16 09:52 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.659 s 0.779
2022-11-16 09:55 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.863 s -0.045
2022-11-16 10:04 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.284
2022-11-16 09:44 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.531 s -1.742
2022-11-16 09:49 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.592 s -0.435
2022-11-16 09:51 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.045 s 0.296
2022-11-16 09:57 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.255 s 1.774
2022-11-16 09:45 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.821 s 0.483
2022-11-16 09:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.216 s -0.782
2022-11-16 09:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.276 s 1.044
2022-11-16 09:49 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.190 s 0.344
2022-11-16 09:50 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.886 s 0.095
2022-11-16 09:51 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.240
2022-11-16 09:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.256
2022-11-16 09:45 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.586 s -0.303
2022-11-16 09:49 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.600 s -0.324
2022-11-16 09:54 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.315 s -0.222
2022-11-16 09:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.253 s 2.148
2022-11-16 09:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.316 s 0.505
2022-11-16 09:58 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.592 s 3.919
2022-11-16 09:46 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.278
2022-11-16 09:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.579 s -0.123
2022-11-16 09:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.233 s 0.504
2022-11-16 09:53 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.556
2022-11-16 09:54 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.492 s 0.297
2022-11-16 09:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.940 s 0.667
2022-11-16 09:45 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.322 s 1.150
2022-11-16 09:59 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.115 s 0.286
2022-11-16 10:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.401
2022-11-16 09:45 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.408 s 0.933
2022-11-16 09:50 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.519 s 1.210
2022-11-16 09:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.236 s 1.259
2022-11-16 09:55 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.427 s -0.307
2022-11-16 09:59 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.720 s -0.999
2022-11-16 09:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.316 s 0.021
2022-11-16 09:58 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.382 s -0.221
2022-11-16 09:59 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.923 s -1.271
2022-11-16 09:45 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.292 s -0.297
2022-11-16 09:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.967 s -0.553
2022-11-16 09:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.301 s -0.083
2022-11-16 09:48 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.774 s -0.585
2022-11-16 09:54 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.262 s -0.320
2022-11-16 09:57 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.285 s 1.649
2022-11-16 09:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.253 s 1.035
2022-11-16 09:47 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.426 s -0.092
2022-11-16 09:50 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.215 s 0.489
2022-11-16 09:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.438 s 0.092
2022-11-16 09:47 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.927 s -0.663
2022-11-16 09:48 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.200 s 1.188
2022-11-16 09:48 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.202 s 1.112
2022-11-16 09:51 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s -2.262
2022-11-16 09:54 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.191 s 1.069
2022-11-16 09:58 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.888 s -0.305
2022-11-16 09:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -0.257
2022-11-16 10:04 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.235 s 1.580
2022-11-16 09:46 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.203 s 0.689
2022-11-16 09:48 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.235 s -0.196
2022-11-16 09:51 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.403
2022-11-16 09:52 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.565 s 1.151
2022-11-16 10:04 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.254 s 0.977
2022-11-16 09:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.302 s 0.988
2022-11-16 09:47 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.512 s -0.847
2022-11-16 09:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.522 s 2.337
2022-11-16 10:04 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.483 s 1.382
2022-11-16 09:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.243 s 1.858
2022-11-16 09:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.367 s 0.151
2022-11-16 09:59 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.777 s 0.449
2022-11-16 09:50 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.319 s 1.154
2022-11-16 09:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.729
2022-11-16 09:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.615
2022-11-16 09:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.261 s 0.776
2022-11-16 09:53 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.264
2022-11-16 10:02 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.006 s -0.315
2022-11-16 09:56 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.424 s -1.255
2022-11-16 10:04 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.222 s -0.167
2022-11-16 09:56 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.042 s 0.276
2022-11-16 10:04 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.409
2022-11-16 10:04 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.445 s 0.445
2022-11-16 10:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.294 s 0.140
2022-11-16 10:13 JavaScript Iterate Vector dictionary 0.004 s -2.714
2022-11-16 10:13 JavaScript Iterate Vector numbers 0.002 s -1.269
2022-11-16 10:13 JavaScript Spread Vector uint8Array 0.007 s -0.993
2022-11-16 10:13 JavaScript vectorFromArray booleans 0.017 s 0.550
2022-11-16 10:13 JavaScript Table tracks, 1,000,000 0.095 s 0.081
2022-11-16 10:13 JavaScript vectorFromArray dictionary 0.017 s 0.272
2022-11-16 10:13 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.265
2022-11-16 10:13 JavaScript Iterate Vector uint64Array 0.004 s 0.411
2022-11-16 10:13 JavaScript Iterate Vector int64Array 0.004 s 0.573
2022-11-16 10:13 JavaScript Iterate Vector float64Array 0.002 s -1.230
2022-11-16 10:13 JavaScript Iterate Vector string 0.125 s 0.853
2022-11-16 10:13 JavaScript toArray Vector uint16Array
2022-11-16 10:13 JavaScript get Vector booleans 0.002 s 0.322
2022-11-16 10:13 JavaScript vectorFromArray numbers 0.016 s 0.481
2022-11-16 10:13 JavaScript Spread Vector int64Array 0.012 s -1.961
2022-11-16 10:13 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.133
2022-11-16 10:13 JavaScript Iterate Vector uint16Array 0.002 s
2022-11-16 10:13 JavaScript Spread Vector uint16Array 0.007 s -1.180
2022-11-16 10:13 JavaScript Spread Vector uint64Array 0.012 s -2.075
2022-11-16 10:13 JavaScript Spread Vector float64Array 0.008 s -0.670
2022-11-16 10:13 JavaScript Spread Vector string 0.146 s 0.058
2022-11-16 10:13 JavaScript get Vector uint64Array 0.003 s -0.243
2022-11-16 10:13 JavaScript Iterate Vector uint8Array 0.002 s -0.506
2022-11-16 10:13 JavaScript Iterate Vector int8Array 0.002 s -0.671
2022-11-16 10:13 JavaScript Iterate Vector float32Array 0.002 s -0.399
2022-11-16 10:13 JavaScript Spread Vector uint32Array 0.007 s -0.480
2022-11-16 10:13 JavaScript Iterate Vector uint32Array 0.002 s -0.288
2022-11-16 10:13 JavaScript Iterate Vector int32Array 0.002 s -0.416
2022-11-16 10:13 JavaScript Iterate Vector int16Array 0.002 s -0.121
2022-11-16 10:13 JavaScript Spread Vector booleans 0.010 s -2.172
2022-11-16 10:13 JavaScript Iterate Vector booleans 0.004 s -0.895
2022-11-16 10:13 JavaScript Spread Vector int16Array 0.007 s -1.142
2022-11-16 10:13 JavaScript toArray Vector int16Array
2022-11-16 10:13 JavaScript get Vector uint16Array 0.003 s 0.377
2022-11-16 10:13 JavaScript get Vector int64Array 0.003 s 0.057
2022-11-16 10:13 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -2.089
2022-11-16 10:13 JavaScript Spread Vector int8Array 0.007 s -0.882
2022-11-16 10:13 JavaScript Spread Vector float32Array 0.008 s -0.507
2022-11-16 10:13 JavaScript Spread Vector numbers 0.008 s -0.862
2022-11-16 10:13 JavaScript toArray Vector int8Array
2022-11-16 10:13 JavaScript Spread Vector int32Array 0.007 s -0.480
2022-11-16 10:13 JavaScript Spread Vector dictionary 0.010 s -2.559
2022-11-16 10:13 JavaScript toArray Vector uint8Array
2022-11-16 10:13 JavaScript toArray Vector uint32Array
2022-11-16 10:13 JavaScript toArray Vector uint64Array
2022-11-16 10:13 JavaScript toArray Vector int64Array
2022-11-16 10:13 JavaScript toArray Vector float64Array
2022-11-16 10:13 JavaScript toArray Vector booleans 0.010 s -0.520
2022-11-16 10:13 JavaScript toArray Vector string 0.145 s 0.483
2022-11-16 10:13 JavaScript get Vector string 0.124 s 0.464
2022-11-16 10:13 JavaScript Parse write recordBatches, tracks 0.002 s 0.560
2022-11-16 10:13 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.830
2022-11-16 10:13 JavaScript toArray Vector int32Array
2022-11-16 10:13 JavaScript toArray Vector numbers
2022-11-16 10:13 JavaScript toArray Vector float32Array
2022-11-16 10:13 JavaScript toArray Vector dictionary 0.010 s -1.030
2022-11-16 10:13 JavaScript get Vector uint32Array 0.003 s 0.058
2022-11-16 10:13 JavaScript get Vector int8Array 0.003 s 0.164
2022-11-16 10:13 JavaScript get Vector uint8Array 0.003 s 0.311
2022-11-16 10:13 JavaScript get Vector float32Array 0.002 s -0.013
2022-11-16 10:13 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.618
2022-11-16 10:13 JavaScript get Vector int16Array 0.003 s -0.032
2022-11-16 10:13 JavaScript get Vector int32Array 0.003 s 0.196
2022-11-16 10:13 JavaScript Parse read recordBatches, tracks 0.000 s -1.351
2022-11-16 10:13 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.094
2022-11-16 10:13 JavaScript get Vector float64Array 0.002 s 0.110
2022-11-16 10:13 JavaScript get Vector numbers 0.002 s 0.104
2022-11-16 10:13 JavaScript get Vector dictionary 0.002 s 0.792
2022-11-16 10:13 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.035
2022-11-16 10:13 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 10:13 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.044
2022-11-16 10:13 JavaScript Table tracks, 1,000,000 0.245 s 1.386
2022-11-16 10:13 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.415
2022-11-16 10:13 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.750
2022-11-16 10:13 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.984
2022-11-16 10:13 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.001 s -0.543
2022-11-16 10:13 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -1.128
2022-11-16 10:13 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 10:13 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 10:13 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s 0.293
2022-11-16 10:13 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.781
2022-11-16 10:13 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.758
2022-11-16 10:13 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.190 s -0.424
2022-11-16 10:13 JavaScript Table 1,000,000, tracks 0.246 s 1.132
2022-11-16 10:13 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 10:13 JavaScript Table tracks, 1,000,000 0.050 s 0.053
2022-11-16 10:13 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.146
2022-11-16 10:13 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -2.551