Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-16 06:16 Python dataframe-to-table chi_traffic_2020_Q1 20.470 s -1.328
2022-11-16 06:11 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.672 s 1.047
2022-11-16 06:11 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.237 s 0.861
2022-11-16 06:11 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.132 s 0.773
2022-11-16 06:13 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.135 s -0.569
2022-11-16 06:12 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.052 s 0.909
2022-11-16 06:13 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.423 s 0.363
2022-11-16 06:13 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.904 s 0.392
2022-11-16 06:14 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.772 s 0.627
2022-11-16 06:16 Python dataframe-to-table type_nested 2.916 s -1.854
2022-11-16 06:16 Python dataset-filter nyctaxi_2010-01 1.007 s -0.051
2022-11-16 06:16 Python dataframe-to-table type_strings 0.453 s -0.700
2022-11-16 06:16 Python dataframe-to-table type_integers 0.010 s -1.616
2022-11-16 06:16 Python dataframe-to-table type_floats 0.011 s 0.259
2022-11-16 06:16 Python dataframe-to-table type_dict 0.011 s 1.212
2022-11-16 06:42 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.554 s 5.849
2022-11-16 06:42 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.029 s 0.528
2022-11-16 06:41 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.916 s 0.149
2022-11-16 06:40 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.203 s -0.706
2022-11-16 06:41 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.940 s -0.607
2022-11-16 06:39 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.296 s 0.060
2022-11-16 06:39 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.049 s 0.140
2022-11-16 06:39 Python dataset-read async=True, nyctaxi_multi_ipc_s3 267.619 s -3.201
2022-11-16 06:25 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 91.888 s -2.581
2022-11-16 06:39 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.575 s -1.755
2022-11-16 06:40 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.511 s -0.197
2022-11-16 06:21 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 84.760 s -0.117
2022-11-16 06:39 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.235 s -0.149
2022-11-16 06:42 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.308 s 3.961
2022-11-16 06:40 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.129 s 0.099
2022-11-16 06:42 Python file-read lz4, feather, table, nyctaxi_2010-01 0.694 s -1.229
2022-11-16 06:41 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.207 s 6.216
2022-11-16 06:41 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.979 s -0.950
2022-11-16 06:39 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.051 s 0.124
2022-11-16 06:40 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.649 s 0.320
2022-11-16 06:40 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.165 s -0.498
2022-11-16 06:41 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.970 s -0.403
2022-11-16 06:41 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.924 s -0.331
2022-11-16 06:39 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.203 s -0.114
2022-11-16 06:40 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.659 s -1.045
2022-11-16 06:40 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.519 s -0.688
2022-11-16 06:41 Python file-read lz4, feather, table, fanniemae_2016Q4 0.827 s -0.292
2022-11-16 06:40 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.645 s -1.067
2022-11-16 06:41 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.632 s 5.959
2022-11-16 06:40 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.331 s -0.391
2022-11-16 06:43 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.579 s 0.310
2022-11-16 06:44 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.367 s 0.450
2022-11-16 06:45 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.864 s 0.380
2022-11-16 06:45 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.073 s -0.418
2022-11-16 06:46 Python file-write lz4, feather, table, fanniemae_2016Q4 1.561 s -0.346
2022-11-16 06:46 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.921 s -0.426
2022-11-16 06:48 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.019 s -2.284
2022-11-16 06:47 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.596 s 0.808
2022-11-16 06:47 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.724 s 0.233
2022-11-16 06:48 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.515 s 1.118
2022-11-16 06:48 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.026 s 0.748
2022-11-16 06:47 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.102 s 0.774
2022-11-16 06:49 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.803 s 0.634
2022-11-16 06:48 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.387 s 0.791
2022-11-16 06:59 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.551 s -0.720
2022-11-16 07:00 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.898 s -0.280
2022-11-16 06:49 Python file-write lz4, feather, table, nyctaxi_2010-01 1.644 s 0.505
2022-11-16 06:49 Python wide-dataframe use_legacy_dataset=true 0.374 s 0.370
2022-11-16 06:49 Python wide-dataframe use_legacy_dataset=false 0.504 s 0.968
2022-11-16 06:59 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.390
2022-11-16 07:00 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.582 s -0.237
2022-11-16 07:01 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.899 s 1.092
2022-11-16 07:06 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.608 s 0.133
2022-11-16 06:57 R dataframe-to-table type_strings, R 0.536 s 1.220
2022-11-16 06:58 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.583 s -0.778
2022-11-16 06:59 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.841 s 1.240
2022-11-16 06:58 R dataframe-to-table type_nested, R 0.572 s 0.947
2022-11-16 06:59 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -1.047
2022-11-16 06:58 R dataframe-to-table type_floats, R 0.013 s 1.017
2022-11-16 06:57 R dataframe-to-table type_dict, R 0.033 s 3.122
2022-11-16 07:10 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.401 s 0.131
2022-11-16 07:04 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.910 s 0.498
2022-11-16 06:57 R dataframe-to-table type_integers, R 0.010 s 0.462
2022-11-16 06:58 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.331 s -0.812
2022-11-16 07:11 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.999 s 0.816
2022-11-16 07:12 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.969 s 0.228
2022-11-16 06:59 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.568 s -0.119
2022-11-16 07:00 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.555 s -0.662
2022-11-16 07:08 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.957 s -0.314
2022-11-16 06:59 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.591 s 0.721
2022-11-16 07:07 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.952 s 0.455
2022-11-16 07:21 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s -0.627
2022-11-16 06:57 R dataframe-to-table chi_traffic_2020_Q1, R 4.335 s -0.190
2022-11-16 07:18 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.242 s 1.385
2022-11-16 07:00 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.817 s 0.959
2022-11-16 07:13 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.729 s 0.860
2022-11-16 06:59 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.321 s -0.725
2022-11-16 07:00 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.893 s -0.210
2022-11-16 07:18 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.568 s -0.787
2022-11-16 07:19 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.272 s -0.502
2022-11-16 07:00 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.859
2022-11-16 07:23 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.230 s -0.691
2022-11-16 07:09 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.491 s 0.603
2022-11-16 07:15 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.310 s -0.831
2022-11-16 07:18 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.565 s -1.327
2022-11-16 07:02 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.488 s 0.510
2022-11-16 07:19 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.588 s -0.520
2022-11-16 07:21 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s -0.239
2022-11-16 07:22 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.585 s -0.490
2022-11-16 07:23 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.192 s 1.657
2022-11-16 07:03 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.185 s -0.042
2022-11-16 07:20 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.330 s 0.946
2022-11-16 07:21 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.226 s 0.916
2022-11-16 07:20 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.283 s 0.917
2022-11-16 07:22 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.907 s 0.485
2022-11-16 07:25 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s -0.973
2022-11-16 07:26 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.122
2022-11-16 07:27 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.361
2022-11-16 07:18 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.237 s -1.157
2022-11-16 07:19 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.680
2022-11-16 07:24 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.310 s -0.197
2022-11-16 07:24 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s 0.813
2022-11-16 07:27 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s -0.436
2022-11-16 07:18 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.584 s 0.093
2022-11-16 07:21 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s -0.857
2022-11-16 07:23 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.238 s 0.371
2022-11-16 07:14 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.920 s 0.370
2022-11-16 07:18 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.196 s -0.299
2022-11-16 07:20 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.584
2022-11-16 07:22 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.297 s 0.261
2022-11-16 07:24 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 0.868
2022-11-16 07:31 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.268 s 0.279
2022-11-16 07:17 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s -0.188
2022-11-16 07:19 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s -0.307
2022-11-16 07:23 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.327 s -0.619
2022-11-16 07:26 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.611
2022-11-16 07:23 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.493 s 0.003
2022-11-16 07:26 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s -0.302
2022-11-16 07:29 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.764 s 1.087
2022-11-16 07:29 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.637
2022-11-16 07:16 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.312 s -0.603
2022-11-16 07:27 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.290 s -0.592
2022-11-16 07:17 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.231 s -1.338
2022-11-16 07:20 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.532
2022-11-16 07:24 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.186 s -1.300
2022-11-16 07:31 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.320 s -1.311
2022-11-16 07:32 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.775 s -1.760
2022-11-16 07:19 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.004 s 0.063
2022-11-16 07:21 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.651 s 0.697
2022-11-16 07:30 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.604 s 1.175
2022-11-16 07:33 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.753
2022-11-16 07:36 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.200 s 0.450
2022-11-16 07:21 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 1.097
2022-11-16 07:24 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.893 s 1.173
2022-11-16 07:28 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.402
2022-11-16 07:28 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.693
2022-11-16 07:20 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.708 s -0.144
2022-11-16 07:20 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.348 s -1.996
2022-11-16 07:28 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.370 s -0.992
2022-11-16 07:29 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.632 s -0.780
2022-11-16 07:21 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.055 s -0.722
2022-11-16 07:25 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.637 s -0.264
2022-11-16 07:32 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.121 s -0.272
2022-11-16 07:23 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.262 s 0.838
2022-11-16 07:25 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.312 s 0.598
2022-11-16 07:25 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.627 s 1.259
2022-11-16 07:23 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.390
2022-11-16 07:28 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.656 s -0.518
2022-11-16 07:29 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s -0.386
2022-11-16 07:33 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.296 s -1.344
2022-11-16 07:34 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s -0.384
2022-11-16 07:27 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.280 s 0.603
2022-11-16 07:29 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.387 s -0.619
2022-11-16 07:34 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.779 s -1.024
2022-11-16 07:26 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.028
2022-11-16 07:28 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.334 s -0.834
2022-11-16 07:30 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.708 s -0.157
2022-11-16 07:26 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.338
2022-11-16 07:31 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.368 s -0.967
2022-11-16 07:26 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.693 s 0.052
2022-11-16 07:31 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.724 s -0.080
2022-11-16 07:33 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s -0.436
2022-11-16 07:34 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.894 s 0.749
2022-11-16 07:30 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.362 s 0.399
2022-11-16 07:31 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.292 s 0.328
2022-11-16 07:29 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.705
2022-11-16 07:31 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.435 s 0.738
2022-11-16 07:33 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 1.326
2022-11-16 07:33 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.737
2022-11-16 07:34 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.708
2022-11-16 07:35 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.327 s -0.170
2022-11-16 07:32 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.944 s 1.070
2022-11-16 07:33 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.648 s -0.046
2022-11-16 07:35 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.300 s -0.687
2022-11-16 07:34 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 0.978
2022-11-16 07:35 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.532 s -3.051
2022-11-16 07:35 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.169 s -0.522
2022-11-16 07:37 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.517 s 0.149
2022-11-16 07:35 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.866 s -0.387
2022-11-16 07:36 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.251 s -1.156
2022-11-16 07:36 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.357 s -0.826
2022-11-16 07:36 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.464 s 1.361
2022-11-16 07:36 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.294 s 0.030
2022-11-16 07:36 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.867 s -0.671
2022-11-16 07:37 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.179 s -0.141
2022-11-16 07:37 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.248 s -1.447
2022-11-16 07:38 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.324 s 0.217
2022-11-16 07:38 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.225 s -1.126
2022-11-16 07:39 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.286 s 0.465
2022-11-16 07:38 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.412 s -1.493
2022-11-16 07:40 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.997 s -7.090
2022-11-16 07:41 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 0.906
2022-11-16 07:41 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 1.052
2022-11-16 07:46 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 0.794
2022-11-16 07:38 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.586 s -0.307
2022-11-16 07:42 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.599 s -0.222
2022-11-16 07:39 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.065
2022-11-16 07:43 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.236 s -1.027
2022-11-16 07:41 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.200 s 1.018
2022-11-16 07:43 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.887 s -0.004
2022-11-16 07:38 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.825 s -0.854
2022-11-16 07:43 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.282 s -0.678
2022-11-16 07:41 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.495
2022-11-16 07:42 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s -0.661
2022-11-16 07:46 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.540 s -0.436
2022-11-16 07:44 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.086
2022-11-16 07:43 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.216 s 0.354
2022-11-16 07:43 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.319 s 1.152
2022-11-16 07:44 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.143
2022-11-16 07:45 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.412
2022-11-16 07:41 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.775 s -0.646
2022-11-16 07:41 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.246 s -0.287
2022-11-16 07:42 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.594 s -0.485
2022-11-16 07:39 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.256 s -0.569
2022-11-16 07:40 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.324 s -0.759
2022-11-16 07:44 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s -0.296
2022-11-16 07:44 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.317 s -0.334
2022-11-16 07:47 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.144 s 2.440
2022-11-16 07:46 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.297
2022-11-16 07:46 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s -0.687
2022-11-16 07:57 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.388
2022-11-16 08:06 JavaScript Spread Vector int16Array 0.006 s 0.138
2022-11-16 08:06 JavaScript Spread Vector string 0.144 s 0.889
2022-11-16 07:39 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.204
2022-11-16 07:39 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.347 s -0.936
2022-11-16 07:47 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.468 s 1.400
2022-11-16 07:57 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.684 s 0.348
2022-11-16 07:57 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.257 s -1.131
2022-11-16 07:42 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.188 s 0.906
2022-11-16 07:40 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.425 s 0.362
2022-11-16 07:43 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.523 s 0.212
2022-11-16 07:48 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.427 s -0.395
2022-11-16 07:55 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.035 s -0.514
2022-11-16 07:40 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.423 s 2.152
2022-11-16 07:44 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.219
2022-11-16 07:48 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.434 s -0.649
2022-11-16 08:06 JavaScript vectorFromArray booleans 0.018 s 0.270
2022-11-16 08:06 JavaScript Iterate Vector int32Array 0.002 s -1.073
2022-11-16 07:45 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.615 s 0.712
2022-11-16 07:48 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.862 s -0.065
2022-11-16 07:50 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.255 s 1.772
2022-11-16 07:44 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.043 s 0.404
2022-11-16 07:45 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.974 s -0.870
2022-11-16 07:48 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.313 s -1.316
2022-11-16 07:50 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.291
2022-11-16 07:51 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.873 s 0.046
2022-11-16 07:52 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.784 s -0.799
2022-11-16 07:58 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.509
2022-11-16 08:06 JavaScript vectorFromArray numbers 0.016 s 0.568
2022-11-16 07:46 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.189 s 1.081
2022-11-16 07:50 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.253 s 1.974
2022-11-16 07:57 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.533
2022-11-16 07:50 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.392
2022-11-16 07:51 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.595 s 2.825
2022-11-16 07:51 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.382 s -0.283
2022-11-16 07:46 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.204 s 1.174
2022-11-16 07:49 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.126 s -1.597
2022-11-16 08:06 JavaScript Iterate Vector int8Array 0.002 s -0.730
2022-11-16 08:06 JavaScript Spread Vector uint8Array 0.006 s 0.435
2022-11-16 07:47 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.262 s -0.264
2022-11-16 07:58 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.314 s -0.515
2022-11-16 08:06 JavaScript Iterate Vector uint8Array 0.002 s -0.211
2022-11-16 08:06 JavaScript Iterate Vector float32Array 0.002 s -1.578
2022-11-16 08:06 JavaScript Iterate Vector int16Array 0.002 s -0.829
2022-11-16 08:06 JavaScript Iterate Vector int64Array 0.004 s -0.626
2022-11-16 08:06 JavaScript toArray Vector int64Array
2022-11-16 07:52 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.902 s -0.408
2022-11-16 07:57 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s -0.256
2022-11-16 07:48 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.317 s -0.448
2022-11-16 07:50 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 1.037 s -12.162
2022-11-16 07:52 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.440 s -0.477
2022-11-16 07:53 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.102 s 0.826
2022-11-16 08:06 JavaScript Iterate Vector uint16Array 0.002 s -0.797
2022-11-16 08:06 JavaScript Spread Vector int64Array 0.012 s -0.883
2022-11-16 08:06 JavaScript toArray Vector int16Array
2022-11-16 07:52 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.717 s -0.407
2022-11-16 07:57 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.445 s 0.294
2022-11-16 07:49 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.404 s 0.728
2022-11-16 08:06 JavaScript Iterate Vector uint64Array 0.004 s -2.500
2022-11-16 08:06 JavaScript Spread Vector booleans 0.010 s 0.153
2022-11-16 08:06 JavaScript get Vector uint16Array 0.003 s 0.830
2022-11-16 08:06 JavaScript get Vector uint64Array 0.003 s 1.120
2022-11-16 08:06 JavaScript get Vector int16Array 0.003 s 1.043
2022-11-16 07:50 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.284 s 2.022
2022-11-16 08:06 JavaScript get Vector string 0.124 s 0.247
2022-11-16 08:06 JavaScript Parse write recordBatches, tracks 0.002 s -4.671
2022-11-16 08:06 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.206
2022-11-16 08:06 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.135
2022-11-16 07:57 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.222 s 0.008
2022-11-16 08:06 JavaScript Iterate Vector numbers 0.002 s -1.025
2022-11-16 08:06 JavaScript Iterate Vector dictionary 0.004 s 0.321
2022-11-16 08:06 JavaScript Spread Vector uint32Array 0.006 s 0.284
2022-11-16 08:06 JavaScript get Vector numbers 0.002 s -0.000
2022-11-16 08:06 JavaScript vectorFromArray dictionary 0.017 s 0.663
2022-11-16 08:06 JavaScript Iterate Vector booleans 0.004 s 0.794
2022-11-16 08:06 JavaScript Spread Vector uint16Array 0.006 s 0.202
2022-11-16 08:06 JavaScript Spread Vector float64Array 0.008 s 0.274
2022-11-16 08:06 JavaScript toArray Vector uint64Array
2022-11-16 08:06 JavaScript toArray Vector float64Array
2022-11-16 08:06 JavaScript Iterate Vector uint32Array 0.002 s -0.552
2022-11-16 08:06 JavaScript Spread Vector int8Array 0.006 s 0.301
2022-11-16 08:06 JavaScript Spread Vector dictionary 0.010 s 0.636
2022-11-16 08:06 JavaScript toArray Vector int8Array
2022-11-16 08:06 JavaScript toArray Vector numbers
2022-11-16 08:06 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.032 s -12.591
2022-11-16 08:06 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.672
2022-11-16 08:06 JavaScript Iterate Vector float64Array 0.002 s -1.068
2022-11-16 08:06 JavaScript Iterate Vector string 0.125 s 1.071
2022-11-16 08:06 JavaScript Spread Vector uint64Array 0.012 s 0.143
2022-11-16 08:06 JavaScript toArray Vector uint16Array
2022-11-16 08:06 JavaScript Spread Vector int32Array 0.006 s 0.226
2022-11-16 08:06 JavaScript Spread Vector numbers 0.008 s 0.393
2022-11-16 08:06 JavaScript toArray Vector uint32Array
2022-11-16 08:06 JavaScript toArray Vector int32Array
2022-11-16 08:06 JavaScript toArray Vector float32Array
2022-11-16 08:06 JavaScript get Vector uint32Array 0.003 s 0.507
2022-11-16 08:06 JavaScript Spread Vector float32Array 0.008 s 0.183
2022-11-16 08:06 JavaScript toArray Vector uint8Array
2022-11-16 08:06 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.236
2022-11-16 08:07 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.802
2022-11-16 08:07 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.063
2022-11-16 08:06 JavaScript toArray Vector booleans 0.010 s -0.322
2022-11-16 08:06 JavaScript toArray Vector string 0.143 s 1.420
2022-11-16 08:06 JavaScript toArray Vector dictionary 0.010 s 0.132
2022-11-16 08:06 JavaScript get Vector uint8Array 0.003 s 1.218
2022-11-16 08:06 JavaScript get Vector int8Array 0.003 s 0.998
2022-11-16 08:06 JavaScript get Vector int32Array 0.003 s 1.231
2022-11-16 08:06 JavaScript get Vector float64Array 0.002 s 0.084
2022-11-16 08:06 JavaScript get Vector booleans 0.002 s 0.511
2022-11-16 08:06 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.369
2022-11-16 08:06 JavaScript get Vector int64Array 0.003 s 0.635
2022-11-16 08:06 JavaScript Parse read recordBatches, tracks 0.000 s 0.730
2022-11-16 08:06 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.940
2022-11-16 08:06 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 08:06 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 08:06 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.062
2022-11-16 08:07 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.142
2022-11-16 08:06 JavaScript get Vector float32Array 0.002 s 0.136
2022-11-16 08:06 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.015
2022-11-16 08:07 JavaScript Table tracks, 1,000,000 0.050 s 0.165
2022-11-16 08:07 JavaScript Table 1,000,000, tracks 0.254 s 0.819
2022-11-16 08:06 JavaScript get Vector dictionary 0.002 s 0.384
2022-11-16 08:06 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.216
2022-11-16 08:06 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.365
2022-11-16 08:06 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.245
2022-11-16 08:06 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -1.197
2022-11-16 08:06 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.371
2022-11-16 08:07 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.125
2022-11-16 08:06 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 08:06 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 08:06 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.346
2022-11-16 08:07 JavaScript Table tracks, 1,000,000 0.254 s 0.968
2022-11-16 08:07 JavaScript Table tracks, 1,000,000 0.095 s -0.281