Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-11 07:43 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.241 s -0.619
2022-11-11 07:45 Python dataframe-to-table type_strings 0.448 s -0.174
2022-11-11 07:46 Python dataset-filter nyctaxi_2010-01 1.002 s 0.038
2022-11-11 07:42 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.125 s 0.434
2022-11-11 07:43 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.141 s -0.435
2022-11-11 07:45 Python dataframe-to-table chi_traffic_2020_Q1 20.651 s -2.151
2022-11-11 07:45 Python dataframe-to-table type_floats 0.011 s -0.222
2022-11-11 07:46 Python dataframe-to-table type_nested 2.947 s -3.553
2022-11-11 07:42 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.423 s 0.399
2022-11-11 07:45 Python dataframe-to-table type_integers 0.010 s 0.785
2022-11-11 07:41 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.671 s -0.643
2022-11-11 07:51 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 101.942 s -2.218
2022-11-11 07:42 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.619 s -0.604
2022-11-11 07:40 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.681 s 0.217
2022-11-11 07:40 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.291 s -3.178
2022-11-11 07:45 Python dataframe-to-table type_dict 0.012 s -0.687
2022-11-11 07:56 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 91.399 s -2.627
2022-11-11 08:10 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.203 s -0.946
2022-11-11 08:09 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.056 s 0.117
2022-11-11 08:10 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.159 s -0.123
2022-11-11 08:10 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.516 s -0.701
2022-11-11 08:11 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.376 s -0.618
2022-11-11 08:16 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.396 s 1.457
2022-11-11 08:19 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.339 s 1.473
2022-11-11 08:19 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.764 s 1.332
2022-11-11 08:27 R dataframe-to-table chi_traffic_2020_Q1, R 4.307 s 0.004
2022-11-11 08:28 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.331 s -0.961
2022-11-11 08:37 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.953 s 0.199
2022-11-11 08:09 Python dataset-read async=True, nyctaxi_multi_ipc_s3 262.723 s -3.047
2022-11-11 08:10 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.171 s -1.868
2022-11-11 08:29 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.326 s -0.864
2022-11-11 08:09 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.636 s -1.981
2022-11-11 08:09 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.322 s -0.395
2022-11-11 08:09 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.219 s 0.015
2022-11-11 08:10 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.659 s 0.190
2022-11-11 08:09 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.156 s 0.487
2022-11-11 08:11 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.945 s 0.821
2022-11-11 08:10 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.324 s 0.535
2022-11-11 08:14 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.370 s 0.773
2022-11-11 08:18 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 8.979 s 1.637
2022-11-11 08:28 R dataframe-to-table type_floats, R 0.013 s 0.630
2022-11-11 08:09 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.046 s 0.181
2022-11-11 08:11 Python file-read lz4, feather, table, fanniemae_2016Q4 0.819 s 0.768
2022-11-11 08:17 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.591 s 1.543
2022-11-11 08:18 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.977 s 0.014
2022-11-11 08:29 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.582 s -0.950
2022-11-11 08:30 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.903 s -0.801
2022-11-11 08:11 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.803 s -0.689
2022-11-11 08:12 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.614 s -0.739
2022-11-11 08:17 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.411 s 1.373
2022-11-11 08:30 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s -1.191
2022-11-11 08:34 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.919 s 0.762
2022-11-11 08:42 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.954 s 0.594
2022-11-11 08:11 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.977 s -1.149
2022-11-11 08:15 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.510 s 1.617
2022-11-11 08:30 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.900 s -0.803
2022-11-11 08:48 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.245 s 0.186
2022-11-11 08:13 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.207 s 1.596
2022-11-11 08:29 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.568 s 0.245
2022-11-11 08:43 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.734 s 0.687
2022-11-11 08:49 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s 0.178
2022-11-11 08:33 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.110 s 0.764
2022-11-11 08:39 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.223
2022-11-11 09:01 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.742 s -0.493
2022-11-11 08:10 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.637 s -1.455
2022-11-11 08:17 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.070 s 1.410
2022-11-11 08:27 R dataframe-to-table type_strings, R 0.536 s 0.779
2022-11-11 08:29 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.846 s 0.576
2022-11-11 08:30 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.826 s -1.451
2022-11-11 08:18 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.519 s 1.579
2022-11-11 08:28 R dataframe-to-table type_integers, R 0.010 s 0.917
2022-11-11 08:36 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.543 s 0.854
2022-11-11 08:10 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.655 s -1.574
2022-11-11 08:15 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.015 s 0.053
2022-11-11 08:30 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.550 s -0.691
2022-11-11 08:31 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.584 s -0.722
2022-11-11 08:11 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.921 s -0.314
2022-11-11 08:12 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.111 s 0.345
2022-11-11 08:27 R dataframe-to-table type_dict, R 0.059 s 0.204
2022-11-11 08:49 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.270 s -0.264
2022-11-11 08:50 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.329 s -0.224
2022-11-11 08:55 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.307 s 0.426
2022-11-11 08:59 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 1.004
2022-11-11 09:01 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.291 s 1.316
2022-11-11 09:02 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.436 s 0.738
2022-11-11 09:04 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.899 s 0.075
2022-11-11 08:19 Python file-write lz4, feather, table, nyctaxi_2010-01 1.745 s -0.412
2022-11-11 08:28 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.583 s -0.857
2022-11-11 08:31 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.914 s -1.646
2022-11-11 08:45 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s -0.265
2022-11-11 08:47 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.412
2022-11-11 08:12 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.361 s -0.075
2022-11-11 08:19 Python wide-dataframe use_legacy_dataset=false 0.509 s 0.705
2022-11-11 08:29 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.239
2022-11-11 08:30 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.554 s -0.610
2022-11-11 08:48 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.218 s -1.046
2022-11-11 08:50 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.464
2022-11-11 08:51 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.651 s 1.040
2022-11-11 08:10 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.507 s -0.699
2022-11-11 08:11 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.948 s -2.066
2022-11-11 08:32 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.491 s 0.816
2022-11-11 08:48 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.554 s 0.235
2022-11-11 08:49 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.233 s 1.525
2022-11-11 08:11 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.919 s -0.200
2022-11-11 08:12 Python file-read lz4, feather, table, nyctaxi_2010-01 0.689 s -0.376
2022-11-11 08:16 Python file-write lz4, feather, table, fanniemae_2016Q4 1.557 s 0.095
2022-11-11 08:19 Python wide-dataframe use_legacy_dataset=true 0.427 s -3.797
2022-11-11 08:28 R dataframe-to-table type_nested, R 0.572 s 0.717
2022-11-11 08:53 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 1.240
2022-11-11 08:53 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.770
2022-11-11 08:58 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.332 s -0.237
2022-11-11 08:29 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.592 s 0.464
2022-11-11 08:50 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.005 s 0.077
2022-11-11 09:00 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.362 s 0.849
2022-11-11 08:46 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.313 s -0.718
2022-11-11 08:48 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.586 s -0.644
2022-11-11 08:51 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.226 s 1.501
2022-11-11 08:53 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 1.194
2022-11-11 08:55 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.262 s 0.816
2022-11-11 08:56 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s -0.230
2022-11-11 09:01 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.265 s 1.590
2022-11-11 09:02 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.953 s -0.020
2022-11-11 09:03 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 1.350
2022-11-11 08:40 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.375 s 0.427
2022-11-11 08:56 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.756 s -0.856
2022-11-11 08:58 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.654 s -0.442
2022-11-11 09:00 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.709 s -0.355
2022-11-11 09:06 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.248 s -0.369
2022-11-11 08:38 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.962 s -0.414
2022-11-11 08:52 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.588 s -0.864
2022-11-11 08:58 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.281 s 0.541
2022-11-11 08:58 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.337 s 1.068
2022-11-11 09:00 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.605 s 1.180
2022-11-11 08:41 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.999 s 0.747
2022-11-11 08:51 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s -1.005
2022-11-11 08:52 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.432
2022-11-11 08:55 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.312 s 1.071
2022-11-11 08:56 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.626 s 1.865
2022-11-11 09:05 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.859 s 0.966
2022-11-11 08:44 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.909 s 0.557
2022-11-11 08:48 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.347
2022-11-11 08:50 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.704 s -0.129
2022-11-11 08:51 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 1.155
2022-11-11 08:56 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s -0.070
2022-11-11 08:59 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.764 s 0.989
2022-11-11 09:03 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 1.180
2022-11-11 09:05 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 1.247
2022-11-11 08:52 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.908 s 0.442
2022-11-11 08:54 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 1.210
2022-11-11 08:58 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s -0.677
2022-11-11 09:03 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.293 s 0.527
2022-11-11 08:55 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.255
2022-11-11 08:55 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.634 s 0.052
2022-11-11 09:06 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.125 s 0.404
2022-11-11 08:48 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.576 s 0.514
2022-11-11 09:00 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 1.171
2022-11-11 09:06 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.354 s -0.226
2022-11-11 08:49 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.516
2022-11-11 08:49 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s -0.243
2022-11-11 09:03 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s 1.222
2022-11-11 09:05 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.325 s 0.630
2022-11-11 08:51 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.333 s 0.037
2022-11-11 08:53 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.510 s -0.371
2022-11-11 09:05 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.258 s -1.135
2022-11-11 09:05 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.297 s 0.851
2022-11-11 08:50 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.285 s 0.322
2022-11-11 08:57 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.280 s -0.458
2022-11-11 08:59 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s 0.090
2022-11-11 09:03 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.653 s -0.567
2022-11-11 08:50 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.343 s -0.150
2022-11-11 08:51 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.263 s 1.307
2022-11-11 08:56 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s -0.068
2022-11-11 08:57 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s -0.379
2022-11-11 09:00 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.419 s 0.016
2022-11-11 09:01 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 1.029
2022-11-11 08:51 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.059 s -1.081
2022-11-11 08:53 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 1.595
2022-11-11 08:54 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.899 s 0.556
2022-11-11 08:57 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.304
2022-11-11 08:57 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.345 s 0.290
2022-11-11 09:04 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 1.137
2022-11-11 08:52 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.296 s 0.980
2022-11-11 08:56 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s -0.127
2022-11-11 09:04 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.724 s -0.277
2022-11-11 08:53 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 1.248
2022-11-11 08:54 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.323 s 1.126
2022-11-11 08:58 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.285 s -0.828
2022-11-11 09:06 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.200 s 0.229
2022-11-11 08:54 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.181 s -0.498
2022-11-11 08:59 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.714 s -1.726
2022-11-11 09:01 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.365 s 0.822
2022-11-11 09:02 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.763 s 0.094
2022-11-11 09:03 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.115 s -0.264
2022-11-11 09:03 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.331 s -0.016
2022-11-11 09:05 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.523 s 1.084
2022-11-11 09:14 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.096
2022-11-11 09:06 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.294 s -0.049
2022-11-11 09:06 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.860 s -0.032
2022-11-11 09:16 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.050
2022-11-11 09:06 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.467 s -0.002
2022-11-11 09:07 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.514 s 0.210
2022-11-11 09:08 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.179 s 0.190
2022-11-11 09:08 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.408 s 0.554
2022-11-11 09:08 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.583 s 0.789
2022-11-11 09:08 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.819 s 0.772
2022-11-11 09:08 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 1.052
2022-11-11 09:09 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.325 s -0.122
2022-11-11 09:09 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.143
2022-11-11 09:09 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.254 s -0.169
2022-11-11 09:08 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.325 s 0.265
2022-11-11 09:08 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.148 s 0.370
2022-11-11 09:09 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.276 s 1.839
2022-11-11 09:11 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.633
2022-11-11 09:10 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.600
2022-11-11 09:10 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.423 s 0.683
2022-11-11 09:10 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s -0.006
2022-11-11 09:11 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 1.161
2022-11-11 09:10 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.479 s 0.396
2022-11-11 09:10 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 1.003 s -7.958
2022-11-11 09:12 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s -0.654
2022-11-11 09:11 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.779 s -0.783
2022-11-11 09:12 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.236 s -0.080
2022-11-11 09:13 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.582 s -0.367
2022-11-11 09:11 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.264
2022-11-11 09:12 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.610 s -1.354
2022-11-11 09:11 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.278 s -0.021
2022-11-11 09:13 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.216 s 0.458
2022-11-11 09:13 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.191 s -0.317
2022-11-11 09:13 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.233 s 0.097
2022-11-11 09:13 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s -0.050
2022-11-11 09:14 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.872 s 2.316
2022-11-11 09:13 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.316 s 3.081
2022-11-11 09:14 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.061 s -0.327
2022-11-11 09:13 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.518 s 2.075
2022-11-11 09:14 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.315 s -0.033
2022-11-11 09:14 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.211
2022-11-11 09:14 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.262 s -0.085
2022-11-11 09:27 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.236 s 0.722
2022-11-11 09:37 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.177
2022-11-11 09:15 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.662 s 0.097
2022-11-11 09:15 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.128
2022-11-11 09:15 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.982 s -1.270
2022-11-11 09:16 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.927 s -2.032
2022-11-11 09:27 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.255 s 0.485
2022-11-11 09:17 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.213 s 0.445
2022-11-11 09:36 JavaScript vectorFromArray numbers 0.016 s 0.199
2022-11-11 09:37 JavaScript Iterate Vector uint64Array 0.004 s 0.603
2022-11-11 09:16 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.006
2022-11-11 09:28 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.445 s 0.133
2022-11-11 09:16 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.534 s 0.382
2022-11-11 09:16 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.191 s 0.013
2022-11-11 09:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -0.667
2022-11-11 09:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.304 s -0.705
2022-11-11 09:20 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.362
2022-11-11 09:22 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.775 s 0.626
2022-11-11 09:16 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s -0.664
2022-11-11 09:21 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.936 s 1.077
2022-11-11 09:37 JavaScript Iterate Vector string 0.127 s -0.310
2022-11-11 09:37 JavaScript Spread Vector uint16Array 0.006 s 0.398
2022-11-11 09:37 JavaScript toArray Vector uint64Array
2022-11-11 09:37 JavaScript get Vector int16Array 0.003 s -0.217
2022-11-11 09:28 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.290 s 0.092
2022-11-11 09:37 JavaScript toArray Vector uint32Array
2022-11-11 09:37 JavaScript toArray Vector int8Array
2022-11-11 09:37 JavaScript toArray Vector dictionary 0.010 s 0.650
2022-11-11 09:37 JavaScript get Vector int8Array 0.003 s 0.087
2022-11-11 09:37 JavaScript get Vector float32Array 0.002 s 0.149
2022-11-11 09:16 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.663
2022-11-11 09:20 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s -0.991
2022-11-11 09:37 JavaScript Iterate Vector uint16Array 0.002 s -0.150
2022-11-11 09:17 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.496 s 0.437
2022-11-11 09:18 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.865 s -0.603
2022-11-11 09:27 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.503 s 1.303
2022-11-11 09:20 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.113 s -0.700
2022-11-11 09:27 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.030
2022-11-11 09:28 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.300 s 1.030
2022-11-11 09:37 JavaScript toArray Vector string 0.147 s -0.680
2022-11-11 09:37 JavaScript get Vector uint16Array 0.003 s -0.341
2022-11-11 09:37 JavaScript get Vector uint64Array 0.003 s -0.687
2022-11-11 09:37 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.045
2022-11-11 09:20 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.507
2022-11-11 09:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.862 s 1.359
2022-11-11 09:18 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.427 s -0.701
2022-11-11 09:21 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.603 s 0.351
2022-11-11 09:25 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.748 s 1.365
2022-11-11 09:23 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.094 s 1.185
2022-11-11 09:37 JavaScript vectorFromArray dictionary 0.017 s 0.144
2022-11-11 09:37 JavaScript Iterate Vector int16Array 0.002 s 0.514
2022-11-11 09:21 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.903 s -0.692
2022-11-11 09:27 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s -0.116
2022-11-11 09:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.315 s -0.625
2022-11-11 09:22 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s -0.430
2022-11-11 09:37 JavaScript Spread Vector int64Array 0.012 s 0.593
2022-11-11 09:37 JavaScript Spread Vector float64Array 0.008 s 0.582
2022-11-11 09:37 JavaScript Spread Vector booleans 0.010 s -0.345
2022-11-11 09:37 JavaScript Spread Vector string 0.145 s 0.398
2022-11-11 09:37 JavaScript get Vector string 0.124 s 0.240
2022-11-11 09:37 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.186 s 1.164
2022-11-11 09:37 JavaScript Table tracks, 1,000,000 0.095 s -0.205
2022-11-11 09:19 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.426 s -0.056
2022-11-11 09:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.705 s 1.286
2022-11-11 09:37 JavaScript Spread Vector uint8Array 0.006 s 0.484
2022-11-11 09:37 JavaScript Spread Vector uint32Array 0.007 s 0.435
2022-11-11 09:37 JavaScript Spread Vector int8Array 0.006 s 0.124
2022-11-11 09:37 JavaScript Spread Vector int32Array 0.006 s 0.479
2022-11-11 09:37 JavaScript Table tracks, 1,000,000 0.253 s 1.006
2022-11-11 09:18 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.262 s -0.691
2022-11-11 09:20 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.259 s 0.398
2022-11-11 09:20 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.289 s 0.308
2022-11-11 09:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.378 s 0.553
2022-11-11 09:37 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.032 s -5.687
2022-11-11 09:37 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.076
2022-11-11 09:37 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.199
2022-11-11 09:28 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.222 s -0.167
2022-11-11 09:37 JavaScript Iterate Vector booleans 0.004 s -0.738
2022-11-11 09:37 JavaScript toArray Vector uint16Array
2022-11-11 09:37 JavaScript toArray Vector booleans 0.010 s -0.236
2022-11-11 09:37 JavaScript get Vector float64Array 0.002 s 0.089
2022-11-11 09:37 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.487
2022-11-11 09:37 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-11 09:37 JavaScript vectorFromArray booleans 0.017 s 0.743
2022-11-11 09:37 JavaScript Iterate Vector uint8Array 0.002 s 0.230
2022-11-11 09:37 JavaScript Iterate Vector uint32Array 0.002 s 0.211
2022-11-11 09:37 JavaScript Iterate Vector int8Array 0.002 s 0.654
2022-11-11 09:37 JavaScript Iterate Vector int32Array 0.002 s 0.030
2022-11-11 09:37 JavaScript Iterate Vector int64Array 0.004 s 0.313
2022-11-11 09:37 JavaScript Iterate Vector float64Array 0.002 s 0.551
2022-11-11 09:37 JavaScript Spread Vector uint64Array 0.012 s 0.022
2022-11-11 09:37 JavaScript Spread Vector int16Array 0.006 s 0.386
2022-11-11 09:37 JavaScript toArray Vector int16Array
2022-11-11 09:37 JavaScript toArray Vector int64Array
2022-11-11 09:37 JavaScript Iterate Vector float32Array 0.002 s 0.813
2022-11-11 09:37 JavaScript Iterate Vector numbers 0.002 s 0.825
2022-11-11 09:37 JavaScript Iterate Vector dictionary 0.004 s -0.685
2022-11-11 09:37 JavaScript Spread Vector float32Array 0.008 s -1.363
2022-11-11 09:37 JavaScript toArray Vector uint8Array
2022-11-11 09:37 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -1.076
2022-11-11 09:37 JavaScript Spread Vector numbers 0.008 s 0.685
2022-11-11 09:37 JavaScript Spread Vector dictionary 0.010 s -0.075
2022-11-11 09:37 JavaScript toArray Vector float32Array
2022-11-11 09:37 JavaScript get Vector uint8Array 0.003 s -1.287
2022-11-11 09:37 JavaScript get Vector int32Array 0.003 s -0.887
2022-11-11 09:37 JavaScript get Vector numbers 0.002 s 0.085
2022-11-11 09:37 JavaScript toArray Vector int32Array
2022-11-11 09:37 JavaScript toArray Vector numbers
2022-11-11 09:37 JavaScript get Vector uint32Array 0.003 s -0.971
2022-11-11 09:37 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.443
2022-11-11 09:37 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.939
2022-11-11 09:37 JavaScript toArray Vector float64Array
2022-11-11 09:37 JavaScript get Vector booleans 0.002 s 0.416
2022-11-11 09:37 JavaScript Parse write recordBatches, tracks 0.002 s 0.542
2022-11-11 09:37 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.556
2022-11-11 09:37 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.079
2022-11-11 09:37 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.240
2022-11-11 09:37 JavaScript get Vector int64Array 0.003 s -0.467
2022-11-11 09:37 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.918
2022-11-11 09:37 JavaScript get Vector dictionary 0.002 s 0.145
2022-11-11 09:37 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.296
2022-11-11 09:37 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.590
2022-11-11 09:37 JavaScript Parse read recordBatches, tracks 0.000 s -0.304
2022-11-11 09:37 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.025
2022-11-11 09:37 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-11 09:37 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-11 09:37 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.166
2022-11-11 09:37 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-11 09:37 JavaScript Table tracks, 1,000,000 0.050 s -0.070
2022-11-11 09:37 JavaScript Table 1,000,000, tracks 0.246 s 1.238
2022-11-11 09:37 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.097