Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-19 02:23 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.321 s -0.895
2023-01-19 02:20 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.240 s 0.278
2023-01-19 02:22 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.119 s 0.251
2023-01-19 02:26 Python dataframe-to-table type_nested 2.960 s 0.369
2023-01-19 02:34 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.133 s 0.925
2023-01-19 02:21 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.268 s 1.437
2023-01-19 02:22 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.435 s 0.413
2023-01-19 02:25 Python dataframe-to-table type_floats 0.010 s 0.242
2023-01-19 02:25 Python dataframe-to-table type_integers 0.010 s -0.321
2023-01-19 02:30 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 83.787 s -0.247
2023-01-19 02:20 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.764 s 1.495
2023-01-19 02:22 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.152 s 1.677
2023-01-19 02:23 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.376 s -0.887
2023-01-19 02:25 Python dataframe-to-table type_dict 0.012 s -2.766
2023-01-19 02:25 Python dataframe-to-table chi_traffic_2020_Q1 21.055 s 0.102
2023-01-19 02:25 Python dataframe-to-table type_strings 0.426 s 0.389
2023-01-19 02:26 Python dataset-filter nyctaxi_2010-01 1.023 s -0.120
2023-01-19 02:45 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.334 s -0.004
2023-01-19 02:46 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.310 s 0.173
2023-01-19 02:46 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.185 s -1.009
2023-01-19 02:46 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.736 s 2.614
2023-01-19 02:51 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.379 s -1.454
2023-01-19 02:47 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.950
2023-01-19 02:45 Python dataset-read async=True, nyctaxi_multi_ipc_s3 222.509 s 0.140
2023-01-19 02:45 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.186 s 0.191
2023-01-19 02:46 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.032 s 0.294
2023-01-19 02:46 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -2.020
2023-01-19 02:47 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.943 s -1.723
2023-01-19 02:46 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.209 s 0.248
2023-01-19 02:46 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.671 s 0.259
2023-01-19 02:46 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.357
2023-01-19 02:51 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.146 s 2.345
2023-01-19 02:48 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.315 s 2.656
2023-01-19 02:51 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.147 s 1.250
2023-01-19 02:46 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.031 s 0.294
2023-01-19 02:46 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.217 s -0.662
2023-01-19 02:47 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.724
2023-01-19 02:46 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.140 s -0.163
2023-01-19 02:46 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -1.623
2023-01-19 02:59 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 0.999
2023-01-19 02:59 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.072 s -1.675
2023-01-19 02:59 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.883 s 2.629
2023-01-19 02:59 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.587
2023-01-19 02:59 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.843 s 2.386
2023-01-19 02:59 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.289 s -1.546
2023-01-19 03:00 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.298
2023-01-19 03:00 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.227
2023-01-19 03:00 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.459 s 2.490
2023-01-19 03:04 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.405 s 0.753
2023-01-19 03:04 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.125 s -1.614
2023-01-19 03:04 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.405 s 1.481
2023-01-19 03:13 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.642 s 0.129
2023-01-19 03:13 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.481 s 0.577
2023-01-19 03:13 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.948 s 2.476
2023-01-19 03:13 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.616 s 0.242
2023-01-19 03:14 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.323 s 0.298
2023-01-19 03:14 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.975 s 0.128
2023-01-19 03:13 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.502 s -0.138
2023-01-19 03:14 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.634 s 0.273
2023-01-19 03:14 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.210 s 0.191
2023-01-19 03:15 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.904 s 0.441
2023-01-19 03:14 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.979 s 0.022
2023-01-19 03:15 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.335 s 0.288
2023-01-19 03:15 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.586 s 0.316
2023-01-19 03:14 Python file-read lz4, feather, table, fanniemae_2016Q4 0.822 s 0.087
2023-01-19 03:14 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.920 s 0.206
2023-01-19 03:15 Python file-read lz4, feather, table, nyctaxi_2010-01 0.661 s 0.450
2023-01-19 03:15 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.929 s 0.327
2023-01-19 03:17 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.343 s -1.272
2023-01-19 03:15 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.762 s -1.260
2023-01-19 03:17 Python file-write snappy, parquet, table, fanniemae_2016Q4 11.020 s -1.452
2023-01-19 03:19 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.311 s -0.074
2023-01-19 03:18 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.498 s -1.220
2023-01-19 03:19 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.258 s -0.126
2023-01-19 03:20 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.858 s 0.290
2023-01-19 03:21 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.400 s -0.610
2023-01-19 03:20 Python file-write lz4, feather, table, fanniemae_2016Q4 1.836 s 0.161
2023-01-19 03:20 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.909 s -0.504
2023-01-19 03:22 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.321 s -0.855
2023-01-19 03:21 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.818 s -0.723
2023-01-19 03:23 Python wide-dataframe use_legacy_dataset=false 0.514 s 0.271
2023-01-19 03:23 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.322
2023-01-19 03:22 Python file-write lz4, feather, table, nyctaxi_2010-01 1.794 s -0.073
2023-01-19 03:22 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.729 s -0.039
2023-01-19 03:22 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.135 s -0.068
2023-01-19 03:22 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.232 s -0.262
2023-01-19 03:31 R dataframe-to-table type_dict, R 0.065 s -1.194
2023-01-19 03:31 R dataframe-to-table chi_traffic_2020_Q1, R 4.378 s -0.907
2023-01-19 03:32 R dataframe-to-table type_integers, R 0.010 s 0.506
2023-01-19 03:31 R dataframe-to-table type_strings, R 0.536 s -0.382
2023-01-19 03:32 R dataframe-to-table type_nested, R 0.574 s -0.111
2023-01-19 03:32 R dataframe-to-table type_floats, R 0.013 s 0.419
2023-01-19 03:33 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.326 s -0.663
2023-01-19 03:32 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.308 s 0.263
2023-01-19 03:32 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.568 s -0.111
2023-01-19 03:33 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.311 s 0.265
2023-01-19 03:33 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.578 s -0.504
2023-01-19 03:33 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.260
2023-01-19 03:33 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.857 s 0.217
2023-01-19 03:33 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.592 s 0.297
2023-01-19 03:34 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.564 s -0.117
2023-01-19 03:34 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.566 s -0.196
2023-01-19 03:34 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.814 s 0.293
2023-01-19 03:34 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.908 s -0.016
2023-01-19 03:34 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.909 s 0.014
2023-01-19 03:34 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.287
2023-01-19 03:35 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.899 s 0.266
2023-01-19 03:35 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.577 s 0.285
2023-01-19 03:36 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.964 s -1.357
2023-01-19 03:38 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.894 s -1.225
2023-01-19 03:39 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.380 s -1.370
2023-01-19 03:41 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.325 s -1.098
2023-01-19 03:41 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.961 s -0.274
2023-01-19 03:43 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.976 s 1.360
2023-01-19 03:43 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.493 s -0.116
2023-01-19 03:45 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.440 s 1.114
2023-01-19 03:46 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.999 s -0.668
2023-01-19 03:47 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.810 s -0.539
2023-01-19 03:48 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.727 s -0.613
2023-01-19 03:49 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.771 s -0.598
2023-01-19 03:50 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.315 s -1.774
2023-01-19 03:51 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.183 s -0.478
2023-01-19 03:51 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.472 s -0.345
2023-01-19 03:53 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.252 s 0.028
2023-01-19 03:53 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.567 s -0.159
2023-01-19 03:53 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.598 s -0.885
2023-01-19 03:52 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.085 s -0.579
2023-01-19 03:53 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.603 s -0.146
2023-01-19 03:54 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.197
2023-01-19 03:53 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.241
2023-01-19 03:54 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.005 s 0.000
2023-01-19 03:54 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.590 s -0.048
2023-01-19 03:55 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.169
2023-01-19 03:56 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.068 s -0.444
2023-01-19 03:53 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.267
2023-01-19 03:56 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.428 s 0.417
2023-01-19 03:57 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.589 s 0.111
2023-01-19 04:02 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.355 s 0.098
2023-01-19 03:53 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.231
2023-01-19 03:55 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s 0.040
2023-01-19 03:56 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.304 s 0.204
2023-01-19 03:57 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.899 s -0.032
2023-01-19 03:58 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.364
2023-01-19 03:58 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.313
2023-01-19 03:58 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.276 s -0.151
2023-01-19 04:01 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.748 s -0.554
2023-01-19 04:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.161 s 0.202
2023-01-19 03:54 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.175
2023-01-19 03:57 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.119
2023-01-19 03:58 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.568 s -0.193
2023-01-19 04:01 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.207
2023-01-19 03:55 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.857 s -0.474
2023-01-19 03:55 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.115
2023-01-19 03:56 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.211
2023-01-19 03:59 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.920 s -0.137
2023-01-19 04:00 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.351 s 0.219
2023-01-19 04:03 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.292 s 0.248
2023-01-19 04:00 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.647 s -0.125
2023-01-19 04:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.189
2023-01-19 04:02 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.179 s 0.211
2023-01-19 03:55 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.215
2023-01-19 03:58 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.242 s 0.311
2023-01-19 04:00 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.320 s 0.265
2023-01-19 03:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.150
2023-01-19 03:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.210
2023-01-19 04:02 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.508 s 0.161
2023-01-19 03:55 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.143
2023-01-19 03:56 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.665 s -0.591
2023-01-19 03:59 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s 0.402
2023-01-19 03:59 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.256
2023-01-19 04:01 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s 0.069
2023-01-19 03:58 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.234 s 0.284
2023-01-19 04:00 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.175
2023-01-19 04:01 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.260
2023-01-19 04:02 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.256 s 0.104
2023-01-19 03:59 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.192 s 0.121
2023-01-19 03:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.226
2023-01-19 04:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.340 s 0.304
2023-01-19 04:03 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.294 s 0.263
2023-01-19 04:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.662 s 0.196
2023-01-19 04:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.374 s 0.303
2023-01-19 04:03 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.351 s 0.273
2023-01-19 04:04 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.740 s -0.802
2023-01-19 04:04 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.781 s 0.324
2023-01-19 04:05 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.211
2023-01-19 04:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.341 s -0.082
2023-01-19 04:05 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.340 s 0.224
2023-01-19 04:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.395 s 0.308
2023-01-19 04:05 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.223
2023-01-19 04:05 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.716 s 0.208
2023-01-19 04:06 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.327
2023-01-19 04:06 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.614 s 0.193
2023-01-19 04:06 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.771 s 0.003
2023-01-19 04:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.299 s 0.102
2023-01-19 04:07 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.442 s 0.167
2023-01-19 04:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.342
2023-01-19 04:07 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.348
2023-01-19 04:07 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.775 s 0.082
2023-01-19 04:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.218
2023-01-19 04:07 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.973 s -0.663
2023-01-19 04:08 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.341 s 0.106
2023-01-19 04:08 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.299 s 0.302
2023-01-19 04:08 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.155 s -0.087
2023-01-19 04:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.268
2023-01-19 04:09 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.109
2023-01-19 04:09 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.654 s 0.115
2023-01-19 04:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.226
2023-01-19 04:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.246
2023-01-19 04:09 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.875 s 0.018
2023-01-19 04:10 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.751 s -0.041
2023-01-19 04:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.211 s 0.149
2023-01-19 04:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.217
2023-01-19 04:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.231
2023-01-19 04:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.332 s -0.138
2023-01-19 04:11 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.871 s -0.162
2023-01-19 04:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.541 s -0.031
2023-01-19 04:11 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.276 s -0.551
2023-01-19 04:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.141
2023-01-19 04:12 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.929 s -0.507
2023-01-19 04:12 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.493 s -0.778
2023-01-19 04:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.367 s 0.068
2023-01-19 04:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.156
2023-01-19 04:12 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.688 s -1.317
2023-01-19 04:13 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.533 s -0.424
2023-01-19 04:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.331 s 0.150
2023-01-19 04:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.236
2023-01-19 04:14 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.661 s -4.033
2023-01-19 04:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s 0.061
2023-01-19 04:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.430 s -0.042
2023-01-19 04:14 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.865 s -0.189
2023-01-19 04:14 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.448 s -1.349
2023-01-19 04:15 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.536 s -0.337
2023-01-19 04:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.217 s 0.184
2023-01-19 04:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.444 s -0.019
2023-01-19 04:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.269 s 0.210
2023-01-19 04:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.333 s 0.262
2023-01-19 04:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.243 s 0.188
2023-01-19 04:16 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.934 s 0.129
2023-01-19 04:16 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.574 s -0.501
2023-01-19 04:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s 0.335
2023-01-19 04:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.086 s -0.588
2023-01-19 04:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.308
2023-01-19 04:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.323
2023-01-19 04:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.278
2023-01-19 04:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.300
2023-01-19 04:18 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.589 s 0.175
2023-01-19 04:18 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.611 s 0.402
2023-01-19 04:18 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.600 s -0.086
2023-01-19 04:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.274
2023-01-19 04:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.325
2023-01-19 04:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.304
2023-01-19 04:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.296
2023-01-19 04:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.530 s 0.166
2023-01-19 04:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.326 s 0.209
2023-01-19 04:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.217 s 0.271
2023-01-19 04:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.893 s -0.249
2023-01-19 04:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.221 s 0.238
2023-01-19 04:20 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.094 s 0.113
2023-01-19 04:20 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.268 s 0.273
2023-01-19 04:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.260 s 0.223
2023-01-19 04:20 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.324 s 0.257
2023-01-19 04:21 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.997 s -0.242
2023-01-19 04:21 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.239
2023-01-19 04:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.308
2023-01-19 04:21 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.821 s 0.225
2023-01-19 04:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.338
2023-01-19 04:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.251
2023-01-19 04:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.306
2023-01-19 04:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.421 s -0.956
2023-01-19 04:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.545 s -0.051
2023-01-19 04:24 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.191
2023-01-19 04:23 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.491 s -1.344
2023-01-19 04:23 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.327 s -0.417
2023-01-19 04:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.275 s 0.025
2023-01-19 04:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.439 s 0.195
2023-01-19 04:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.888 s 0.084
2023-01-19 04:24 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.444 s 0.100
2023-01-19 04:24 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.343 s -0.399
2023-01-19 04:25 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.658 s -0.960
2023-01-19 04:26 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.169
2023-01-19 04:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.116
2023-01-19 04:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.127
2023-01-19 04:26 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.472 s -1.139
2023-01-19 04:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.050
2023-01-19 04:26 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.156
2023-01-19 04:27 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.974 s -0.102
2023-01-19 04:27 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.604 s 0.183
2023-01-19 04:28 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.454 s -0.186
2023-01-19 04:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.147 s -0.288
2023-01-19 04:28 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.397 s -0.231
2023-01-19 04:28 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.738 s -1.041
2023-01-19 04:29 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.932 s -2.366
2023-01-19 04:28 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.797 s -0.040
2023-01-19 04:29 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.196 s -1.570
2023-01-19 04:31 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.149 s -1.645
2023-01-19 04:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.224
2023-01-19 04:33 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.270 s -1.749
2023-01-19 04:33 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.246
2023-01-19 04:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.259
2023-01-19 04:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.261 s 0.198
2023-01-19 04:34 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.262
2023-01-19 04:43 JavaScript vectorFromArray dictionary 0.016 s 1.206
2023-01-19 04:43 JavaScript Spread Vector uint64Array 0.012 s -0.336
2023-01-19 04:43 JavaScript Iterate Vector int64Array 0.004 s 0.883
2023-01-19 04:43 JavaScript Iterate Vector booleans 0.004 s 0.573
2023-01-19 04:34 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.308 s 0.245
2023-01-19 04:43 JavaScript vectorFromArray booleans 0.018 s 0.248
2023-01-19 04:43 JavaScript Iterate Vector int32Array 0.002 s 0.506
2023-01-19 04:43 JavaScript toArray Vector string 0.146 s -0.457
2023-01-19 04:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.456 s -0.040
2023-01-19 04:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.324 s -0.101
2023-01-19 04:43 JavaScript Iterate Vector int8Array 0.002 s 0.933
2023-01-19 04:43 JavaScript vectorFromArray numbers 0.016 s -0.113
2023-01-19 04:43 JavaScript Iterate Vector uint16Array 0.002 s 0.404
2023-01-19 04:43 JavaScript Iterate Vector uint64Array 0.004 s 0.682
2023-01-19 04:43 JavaScript Iterate Vector string 0.126 s 0.116
2023-01-19 04:43 JavaScript Spread Vector int64Array 0.012 s -0.541
2023-01-19 04:43 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -1.014
2023-01-19 04:43 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.673
2023-01-19 04:43 JavaScript Iterate Vector float32Array 0.002 s 0.702
2023-01-19 04:43 JavaScript Spread Vector numbers 0.008 s 0.177
2023-01-19 04:43 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -2.606
2023-01-19 04:43 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.139
2023-01-19 04:43 JavaScript Table 1,000,000, tracks 0.258 s 0.810
2023-01-19 04:43 JavaScript Iterate Vector uint32Array 0.002 s 0.835
2023-01-19 04:43 JavaScript Spread Vector int32Array 0.006 s 0.577
2023-01-19 04:43 JavaScript toArray Vector float32Array
2023-01-19 04:43 JavaScript toArray Vector numbers
2023-01-19 04:43 JavaScript toArray Vector dictionary 0.010 s -0.203
2023-01-19 04:43 JavaScript Iterate Vector uint8Array 0.002 s 0.807
2023-01-19 04:43 JavaScript Spread Vector uint8Array 0.006 s 0.286
2023-01-19 04:43 JavaScript Spread Vector uint32Array 0.007 s -0.002
2023-01-19 04:43 JavaScript Spread Vector float32Array 0.008 s 1.413
2023-01-19 04:43 JavaScript Spread Vector dictionary 0.010 s -0.232
2023-01-19 04:43 JavaScript toArray Vector uint8Array
2023-01-19 04:43 JavaScript Iterate Vector int16Array 0.002 s 0.561
2023-01-19 04:43 JavaScript Iterate Vector float64Array 0.002 s 0.683
2023-01-19 04:43 JavaScript Spread Vector uint16Array 0.006 s 0.089
2023-01-19 04:43 JavaScript Spread Vector booleans 0.010 s 0.753
2023-01-19 04:43 JavaScript toArray Vector float64Array
2023-01-19 04:43 JavaScript toArray Vector booleans 0.010 s 0.610
2023-01-19 04:43 JavaScript Iterate Vector numbers 0.002 s 0.581
2023-01-19 04:43 JavaScript Iterate Vector dictionary 0.004 s 1.201
2023-01-19 04:43 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.368
2023-01-19 04:43 JavaScript Spread Vector int8Array 0.006 s 0.581
2023-01-19 04:43 JavaScript toArray Vector int8Array
2023-01-19 04:43 JavaScript toArray Vector int32Array
2023-01-19 04:43 JavaScript get Vector uint8Array 0.003 s 0.384
2023-01-19 04:43 JavaScript get Vector int8Array 0.003 s -0.743
2023-01-19 04:43 JavaScript get Vector float32Array 0.002 s -0.794
2023-01-19 04:43 JavaScript Spread Vector int16Array 0.007 s -0.117
2023-01-19 04:43 JavaScript toArray Vector int64Array
2023-01-19 04:43 JavaScript Parse write recordBatches, tracks 0.002 s -4.735
2023-01-19 04:43 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.192
2023-01-19 04:43 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-19 04:43 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 04:43 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.186 s 1.092
2023-01-19 04:43 JavaScript Spread Vector float64Array 0.008 s 0.451
2023-01-19 04:43 JavaScript Spread Vector string 0.147 s -0.837
2023-01-19 04:43 JavaScript toArray Vector uint16Array
2023-01-19 04:43 JavaScript toArray Vector uint64Array
2023-01-19 04:43 JavaScript toArray Vector int16Array
2023-01-19 04:43 JavaScript get Vector uint64Array 0.003 s 0.350
2023-01-19 04:43 JavaScript get Vector int16Array 0.003 s -1.161
2023-01-19 04:43 JavaScript toArray Vector uint32Array
2023-01-19 04:43 JavaScript get Vector uint32Array 0.003 s -0.328
2023-01-19 04:43 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-19 04:43 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 04:43 JavaScript Table tracks, 1,000,000 0.050 s -0.102
2023-01-19 04:43 JavaScript get Vector uint16Array 0.003 s -3.983
2023-01-19 04:43 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.116
2023-01-19 04:43 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.200
2023-01-19 04:43 JavaScript get Vector int32Array 0.003 s -0.966
2023-01-19 04:43 JavaScript Parse read recordBatches, tracks 0.000 s -10.212
2023-01-19 04:43 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.282
2023-01-19 04:43 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.239
2023-01-19 04:43 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.033 s -2.954
2023-01-19 04:43 JavaScript get Vector int64Array 0.003 s 0.221
2023-01-19 04:43 JavaScript get Vector string 0.124 s 0.672
2023-01-19 04:43 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.280
2023-01-19 04:43 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.975
2023-01-19 04:43 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.500
2023-01-19 04:43 JavaScript Table tracks, 1,000,000 0.249 s 1.160
2023-01-19 04:43 JavaScript get Vector float64Array 0.002 s 1.034
2023-01-19 04:43 JavaScript get Vector booleans 0.002 s -1.235
2023-01-19 04:43 JavaScript Table tracks, 1,000,000 0.095 s 0.458
2023-01-19 04:43 JavaScript get Vector numbers 0.002 s 0.208
2023-01-19 04:43 JavaScript get Vector dictionary 0.002 s -0.279
2023-01-19 04:43 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.069
2023-01-19 04:43 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.188
2023-01-19 04:43 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.193 s -1.983
2023-01-19 04:43 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.311