Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-14 20:24 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.934 s 0.333
2023-01-14 19:29 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.789 s -0.562
2023-01-14 19:29 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.211 s 0.491
2023-01-14 19:30 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.070 s -1.190
2023-01-14 19:30 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.081 s -1.348
2023-01-14 19:31 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.435 s 0.412
2023-01-14 19:32 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.528 s 1.033
2023-01-14 19:31 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.114 s 0.286
2023-01-14 19:31 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.505 s 1.233
2023-01-14 19:34 Python dataframe-to-table type_strings 0.430 s -0.753
2023-01-14 19:34 Python dataframe-to-table chi_traffic_2020_Q1 21.424 s -1.419
2023-01-14 19:34 Python dataframe-to-table type_dict 0.011 s 1.294
2023-01-14 19:34 Python dataframe-to-table type_floats 0.010 s 0.262
2023-01-14 19:34 Python dataframe-to-table type_integers 0.010 s -0.934
2023-01-14 19:34 Python dataframe-to-table type_nested 2.972 s 0.188
2023-01-14 19:34 Python dataset-filter nyctaxi_2010-01 1.019 s -0.119
2023-01-14 19:56 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.008
2023-01-14 19:54 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.328 s 0.002
2023-01-14 19:55 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.172 s -0.629
2023-01-14 19:55 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.262
2023-01-14 20:08 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.060
2023-01-14 20:23 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.974 s 0.083
2023-01-14 20:24 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.923 s 0.179
2023-01-14 19:54 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.041 s 0.242
2023-01-14 19:55 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.758 s 0.431
2023-01-14 20:13 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.410 s 0.038
2023-01-14 19:55 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.799
2023-01-14 20:00 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.448
2023-01-14 20:22 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.602 s -4.100
2023-01-14 20:23 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.209 s 0.609
2023-01-14 20:24 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.427 s -0.747
2023-01-14 20:30 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.350 s -0.741
2023-01-14 20:31 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.097 s 0.208
2023-01-14 20:32 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.199 s 0.096
2023-01-14 19:55 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.650 s 0.238
2023-01-14 19:55 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.207 s -0.300
2023-01-14 20:08 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.021 s 0.493
2023-01-14 20:08 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.401
2023-01-14 20:09 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.687 s 0.729
2023-01-14 20:24 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.326
2023-01-14 20:24 Python file-read lz4, feather, table, nyctaxi_2010-01 0.674 s 0.313
2023-01-14 20:25 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.670 s -1.517
2023-01-14 19:54 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.196 s 0.021
2023-01-14 19:56 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.709
2023-01-14 20:13 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.405 s 0.494
2023-01-14 20:29 Python file-write lz4, feather, table, fanniemae_2016Q4 1.872 s -0.159
2023-01-14 20:30 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.910 s -0.963
2023-01-14 20:31 Python file-write lz4, feather, table, nyctaxi_2010-01 1.792 s 0.017
2023-01-14 20:42 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.843 s 0.277
2023-01-14 20:48 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.274 s -1.981
2023-01-14 19:55 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.931 s -2.185
2023-01-14 20:08 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -2.320
2023-01-14 20:23 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.324 s 0.332
2023-01-14 20:23 Python file-read lz4, feather, table, fanniemae_2016Q4 0.820 s 0.189
2023-01-14 20:31 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.718 s 0.069
2023-01-14 20:40 R dataframe-to-table type_dict, R 0.047 s 1.327
2023-01-14 21:00 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.472 s -0.481
2023-01-14 21:04 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.183
2023-01-14 21:10 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s 0.241
2023-01-14 21:11 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.247 s -0.047
2023-01-14 21:16 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.946 s 0.701
2023-01-14 21:17 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.334 s 0.283
2023-01-14 19:43 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.090 s 0.590
2023-01-14 19:39 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 89.072 s -0.960
2023-01-14 19:54 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.252 s -0.146
2023-01-14 19:56 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.529 s 0.485
2023-01-14 20:08 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.048 s -2.422
2023-01-14 20:22 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.595 s -2.992
2023-01-14 20:26 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.246 s -1.274
2023-01-14 20:26 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.920 s -2.161
2023-01-14 20:31 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.247 s -0.833
2023-01-14 20:32 Python wide-dataframe use_legacy_dataset=true 0.377 s 0.235
2023-01-14 20:41 R dataframe-to-table type_floats, R 0.013 s 0.603
2023-01-14 20:41 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.324 s -0.163
2023-01-14 20:41 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.573 s -0.173
2023-01-14 20:44 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.889 s 0.322
2023-01-14 21:01 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.555 s 0.321
2023-01-14 21:02 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.187
2023-01-14 19:54 Python dataset-read async=True, nyctaxi_multi_ipc_s3 215.303 s 1.354
2023-01-14 19:54 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.228 s 0.657
2023-01-14 19:55 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.033 s 0.251
2023-01-14 19:55 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.135 s -0.150
2023-01-14 19:55 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -1.473
2023-01-14 20:08 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.657
2023-01-14 20:13 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.895 s -2.423
2023-01-14 20:22 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.239 s 0.707
2023-01-14 20:23 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.624 s 0.377
2023-01-14 20:23 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.994 s -0.161
2023-01-14 20:24 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.934 s 0.024
2023-01-14 20:28 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.319 s -0.007
2023-01-14 20:30 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.777 s -1.048
2023-01-14 20:40 R dataframe-to-table type_strings, R 0.534 s 0.133
2023-01-14 19:59 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.307 s -2.442
2023-01-14 20:00 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.002
2023-01-14 20:08 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.866 s 0.553
2023-01-14 20:08 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.227 s -2.817
2023-01-14 20:22 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.655 s -0.013
2023-01-14 20:22 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.646 s -0.204
2023-01-14 20:28 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.321 s -0.090
2023-01-14 20:49 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.323 s -2.148
2023-01-14 20:52 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.491 s 0.410
2023-01-14 20:56 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.789 s -1.266
2023-01-14 20:58 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.761 s -1.471
2023-01-14 21:02 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.242
2023-01-14 21:03 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.007 s -0.262
2023-01-14 21:04 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.112
2023-01-14 21:04 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.346 s 0.279
2023-01-14 21:05 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.174
2023-01-14 20:27 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.460 s -1.656
2023-01-14 20:29 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.989 s -0.391
2023-01-14 20:42 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.231
2023-01-14 20:52 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.020 s 0.406
2023-01-14 20:57 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.717 s -1.510
2023-01-14 21:05 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.221
2023-01-14 21:06 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.292
2023-01-14 21:09 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.633 s 0.258
2023-01-14 21:10 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.238 s 0.196
2023-01-14 21:12 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.204
2023-01-14 21:14 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.734 s -0.066
2023-01-14 21:15 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.437 s 0.365
2023-01-14 21:17 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.190
2023-01-14 21:19 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.530 s 0.303
2023-01-14 21:22 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.508 s -5.341
2023-01-14 21:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.159
2023-01-14 21:33 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s -0.098
2023-01-14 21:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.888 s -0.245
2023-01-14 20:32 Python wide-dataframe use_legacy_dataset=false 0.512 s 0.519
2023-01-14 20:41 R dataframe-to-table type_integers, R 0.010 s -0.058
2023-01-14 20:41 R dataframe-to-table type_nested, R 0.574 s -0.281
2023-01-14 20:42 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.574 s -0.197
2023-01-14 20:42 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.597 s 0.283
2023-01-14 20:43 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.570 s -0.365
2023-01-14 20:47 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.857 s -2.122
2023-01-14 20:59 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.181 s -0.606
2023-01-14 21:04 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.650 s 0.015
2023-01-14 21:07 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.274
2023-01-14 21:11 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.275
2023-01-14 21:17 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.297 s 0.369
2023-01-14 21:18 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.880 s -0.014
2023-01-14 21:18 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.259 s 0.266
2023-01-14 21:19 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.863 s 0.288
2023-01-14 20:40 R dataframe-to-table chi_traffic_2020_Q1, R 4.340 s -1.039
2023-01-14 20:42 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.319 s -0.104
2023-01-14 20:43 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.566 s -0.209
2023-01-14 20:43 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.910 s -0.118
2023-01-14 20:43 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.913 s -0.150
2023-01-14 20:43 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.812 s 0.332
2023-01-14 20:44 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s 0.279
2023-01-14 20:50 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.956 s 0.551
2023-01-14 20:59 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.311 s -0.203
2023-01-14 21:01 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.087 s -0.927
2023-01-14 21:02 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.249 s 0.431
2023-01-14 21:04 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s 0.228
2023-01-14 21:04 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s 0.248
2023-01-14 21:05 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.039 s 0.220
2023-01-14 21:05 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s 0.288
2023-01-14 21:07 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.269
2023-01-14 21:08 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.908 s 0.443
2023-01-14 21:08 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.181 s 0.198
2023-01-14 20:42 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.266
2023-01-14 20:43 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.333
2023-01-14 20:45 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.852 s -1.960
2023-01-14 20:54 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.476 s 0.479
2023-01-14 20:54 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.986 s -1.555
2023-01-14 21:01 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.593 s -0.806
2023-01-14 21:02 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.607 s -0.739
2023-01-14 21:02 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.225
2023-01-14 21:02 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.202 s 0.126
2023-01-14 21:02 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.085
2023-01-14 21:04 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.037
2023-01-14 21:05 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.142
2023-01-14 21:05 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.302 s 0.237
2023-01-14 21:05 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.581 s 0.234
2023-01-14 21:06 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.904 s -0.175
2023-01-14 21:08 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.349 s 0.246
2023-01-14 21:10 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s 0.274
2023-01-14 21:10 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.277
2023-01-14 21:11 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.338 s 0.342
2023-01-14 21:12 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.656 s 0.198
2023-01-14 21:03 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s -0.117
2023-01-14 21:03 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.861 s -0.639
2023-01-14 21:06 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.501 s -0.047
2023-01-14 21:07 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.277
2023-01-14 21:08 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.223
2023-01-14 21:13 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.392 s 0.280
2023-01-14 21:15 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.246
2023-01-14 21:18 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.209 s 0.217
2023-01-14 21:22 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.626 s -2.987
2023-01-14 21:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.988 s -5.049
2023-01-14 21:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.333 s -5.994
2023-01-14 21:25 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 1.157 s -5.510
2023-01-14 21:28 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.234
2023-01-14 21:53 JavaScript Iterate Vector uint32Array 0.002 s 0.581
2023-01-14 21:53 JavaScript Spread Vector int64Array 0.012 s 0.066
2023-01-14 21:07 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.268 s 0.351
2023-01-14 21:10 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.321
2023-01-14 21:12 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.786 s -0.020
2023-01-14 21:13 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.338 s 0.223
2023-01-14 21:15 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.325
2023-01-14 21:18 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.744 s -0.258
2023-01-14 21:18 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.229 s 0.235
2023-01-14 21:19 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.177 s -0.019
2023-01-14 21:19 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.133
2023-01-14 21:23 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.329 s -1.779
2023-01-14 21:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.201
2023-01-14 21:29 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.240
2023-01-14 21:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.699 s 0.253
2023-01-14 21:31 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.300
2023-01-14 21:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.192 s 0.883
2023-01-14 21:33 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.325 s 0.235
2023-01-14 21:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.098
2023-01-14 21:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.604 s 0.079
2023-01-14 21:41 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.934 s -1.587
2023-01-14 21:07 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.250
2023-01-14 21:08 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.262
2023-01-14 21:08 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s 0.286
2023-01-14 21:12 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.372 s 0.290
2023-01-14 21:13 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.332 s 0.243
2023-01-14 21:13 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.427 s 0.213
2023-01-14 21:14 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.613 s 0.176
2023-01-14 21:21 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.162 s 0.214
2023-01-14 21:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.251 s 0.303
2023-01-14 21:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.187
2023-01-14 21:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.611 s 0.265
2023-01-14 21:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.327 s 0.081
2023-01-14 21:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.095
2023-01-14 21:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.140
2023-01-14 21:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.365 s -5.434
2023-01-14 21:53 JavaScript Spread Vector float64Array 0.008 s 0.351
2023-01-14 21:53 JavaScript toArray Vector uint16Array
2023-01-14 21:09 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.321 s 0.130
2023-01-14 21:09 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.631 s 0.158
2023-01-14 21:09 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.730 s -0.899
2023-01-14 21:10 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.211
2023-01-14 21:11 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.353 s 0.155
2023-01-14 21:11 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.291 s 0.327
2023-01-14 21:13 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.599 s -0.145
2023-01-14 21:15 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.302
2023-01-14 21:16 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.193
2023-01-14 21:17 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.190
2023-01-14 21:18 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.302 s 0.260
2023-01-14 21:20 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.300 s 0.168
2023-01-14 21:20 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.358 s 0.399
2023-01-14 21:21 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.084
2023-01-14 21:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.513 s -7.354
2023-01-14 21:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.578 s -1.102
2023-01-14 21:28 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.236 s 0.305
2023-01-14 21:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.266 s 0.238
2023-01-14 21:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.160
2023-01-14 21:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.227
2023-01-14 21:13 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.368 s 0.228
2023-01-14 21:20 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.478 s -0.366
2023-01-14 21:20 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.866 s 0.222
2023-01-14 21:21 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.237 s 0.002
2023-01-14 21:22 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.361 s -2.939
2023-01-14 21:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.564 s -0.098
2023-01-14 21:28 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.251
2023-01-14 21:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.524 s 0.246
2023-01-14 21:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.319 s 0.294
2023-01-14 21:31 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.263
2023-01-14 21:33 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.058
2023-01-14 21:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.995 s -0.564
2023-01-14 21:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.125 s -0.394
2023-01-14 21:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.310 s 0.053
2023-01-14 21:53 JavaScript Iterate Vector float64Array 0.002 s 0.731
2023-01-14 21:53 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.812
2023-01-14 21:14 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.732 s -0.378
2023-01-14 21:15 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.295
2023-01-14 21:15 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.789 s -0.279
2023-01-14 21:16 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.101 s 0.000
2023-01-14 21:17 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.655 s -0.031
2023-01-14 21:19 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.332 s -0.209
2023-01-14 21:21 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.533 s -0.165
2023-01-14 21:23 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 1.001 s -6.277
2023-01-14 21:25 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.477 s -5.033
2023-01-14 21:26 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.207 s 0.296
2023-01-14 21:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s 0.197
2023-01-14 21:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s 0.280
2023-01-14 21:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.929 s 0.681
2023-01-14 21:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.263 s 0.231
2023-01-14 21:53 JavaScript Iterate Vector uint64Array 0.004 s 0.052
2023-01-14 21:20 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s 0.286
2023-01-14 21:24 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.302 s -4.653
2023-01-14 21:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.062 s 0.144
2023-01-14 21:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.072
2023-01-14 21:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.318 s 0.202
2023-01-14 21:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.373 s 0.145
2023-01-14 21:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.892 s 0.521
2023-01-14 21:43 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.129 s 1.956
2023-01-14 21:53 JavaScript Iterate Vector string 0.129 s -1.738
2023-01-14 21:53 JavaScript get Vector uint64Array 0.003 s -0.007
2023-01-14 21:53 JavaScript get Vector int16Array 0.003 s 0.059
2023-01-14 21:53 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-14 21:24 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.441 s -5.421
2023-01-14 21:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.703 s 0.451
2023-01-14 21:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.283 s 0.234
2023-01-14 21:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.884 s 0.043
2023-01-14 21:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.406 s 0.001
2023-01-14 21:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.537 s -0.039
2023-01-14 21:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.437 s 0.435
2023-01-14 21:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.626 s -0.806
2023-01-14 21:35 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.183
2023-01-14 21:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.738 s -1.300
2023-01-14 21:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.891 s -1.354
2023-01-14 21:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.247 s -6.666
2023-01-14 21:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.220
2023-01-14 21:53 JavaScript Iterate Vector int32Array 0.002 s 0.519
2023-01-14 21:53 JavaScript Spread Vector uint64Array 0.012 s -0.014
2023-01-14 21:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.218 s 0.169
2023-01-14 21:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.799 s -0.222
2023-01-14 21:53 JavaScript Spread Vector uint32Array 0.007 s 0.260
2023-01-14 21:53 JavaScript Spread Vector int32Array 0.007 s -0.061
2023-01-14 21:53 JavaScript toArray Vector uint32Array
2023-01-14 21:53 JavaScript toArray Vector int8Array
2023-01-14 21:53 JavaScript toArray Vector float64Array
2023-01-14 21:53 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.979
2023-01-14 21:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s 0.209
2023-01-14 21:37 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.278
2023-01-14 21:37 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.453 s -0.046
2023-01-14 21:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.240 s -2.462
2023-01-14 21:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.231
2023-01-14 21:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.290 s 0.172
2023-01-14 21:53 JavaScript vectorFromArray numbers 0.019 s -10.182
2023-01-14 21:53 JavaScript vectorFromArray dictionary 0.017 s -0.186
2023-01-14 21:53 JavaScript Iterate Vector uint16Array 0.002 s 0.397
2023-01-14 21:53 JavaScript Iterate Vector int64Array 0.004 s 0.036
2023-01-14 21:53 JavaScript toArray Vector string 0.146 s -0.478
2023-01-14 21:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.447 s 0.285
2023-01-14 21:53 JavaScript vectorFromArray booleans 0.020 s -5.770
2023-01-14 21:53 JavaScript Iterate Vector uint8Array 0.002 s 1.738
2023-01-14 21:53 JavaScript Iterate Vector int8Array 0.002 s 1.257
2023-01-14 21:53 JavaScript Iterate Vector float32Array 0.002 s 0.798
2023-01-14 21:53 JavaScript Iterate Vector dictionary 0.004 s -1.073
2023-01-14 21:53 JavaScript Iterate Vector int16Array 0.002 s 0.271
2023-01-14 21:53 JavaScript Iterate Vector booleans 0.004 s -0.980
2023-01-14 21:53 JavaScript Spread Vector float32Array 0.008 s -0.402
2023-01-14 21:53 JavaScript Spread Vector dictionary 0.010 s -0.798
2023-01-14 21:53 JavaScript toArray Vector float32Array
2023-01-14 21:53 JavaScript toArray Vector booleans 0.010 s -2.599
2023-01-14 21:53 JavaScript Iterate Vector numbers 0.002 s 0.718
2023-01-14 21:53 JavaScript Spread Vector booleans 0.010 s -1.728
2023-01-14 21:53 JavaScript toArray Vector int16Array
2023-01-14 21:53 JavaScript get Vector float32Array 0.002 s -1.233
2023-01-14 21:53 JavaScript get Vector dictionary 0.002 s -3.700
2023-01-14 21:53 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -1.001
2023-01-14 21:53 JavaScript Spread Vector uint8Array 0.006 s 0.221
2023-01-14 21:53 JavaScript Spread Vector int8Array 0.006 s 0.061
2023-01-14 21:53 JavaScript Spread Vector numbers 0.008 s 0.352
2023-01-14 21:53 JavaScript Table tracks, 1,000,000 0.050 s 0.497
2023-01-14 21:53 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.167
2023-01-14 21:53 JavaScript Spread Vector uint16Array 0.006 s 0.330
2023-01-14 21:53 JavaScript Parse read recordBatches, tracks 0.000 s -1.382
2023-01-14 21:53 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.145
2023-01-14 21:53 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -2.004
2023-01-14 21:53 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -1.114
2023-01-14 21:53 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.195
2023-01-14 21:53 JavaScript Spread Vector int16Array 0.006 s 0.444
2023-01-14 21:53 JavaScript Spread Vector string 0.145 s -0.005
2023-01-14 21:53 JavaScript toArray Vector uint64Array
2023-01-14 21:53 JavaScript toArray Vector numbers
2023-01-14 21:53 JavaScript get Vector uint8Array 0.003 s 0.157
2023-01-14 21:53 JavaScript Table tracks, 1,000,000 0.094 s 0.779
2023-01-14 21:53 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.094
2023-01-14 21:53 JavaScript toArray Vector uint8Array
2023-01-14 21:53 JavaScript toArray Vector int32Array
2023-01-14 21:53 JavaScript get Vector booleans 0.002 s -1.053
2023-01-14 21:53 JavaScript get Vector string 0.128 s -2.376
2023-01-14 21:53 JavaScript Parse write recordBatches, tracks 0.002 s 0.240
2023-01-14 21:53 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.139
2023-01-14 21:53 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.281
2023-01-14 21:53 JavaScript toArray Vector int64Array
2023-01-14 21:53 JavaScript toArray Vector dictionary 0.010 s -1.086
2023-01-14 21:53 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.888
2023-01-14 21:53 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.110
2023-01-14 21:53 JavaScript get Vector uint16Array 0.003 s -0.778
2023-01-14 21:53 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.823
2023-01-14 21:53 JavaScript Table 1,000,000, tracks 0.302 s -1.212
2023-01-14 21:53 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.493
2023-01-14 21:53 JavaScript get Vector uint32Array 0.003 s -0.720
2023-01-14 21:53 JavaScript get Vector int8Array 0.003 s -0.506
2023-01-14 21:53 JavaScript get Vector int32Array 0.003 s 0.062
2023-01-14 21:53 JavaScript get Vector numbers 0.002 s -0.572
2023-01-14 21:53 JavaScript Table tracks, 1,000,000 0.286 s -0.746
2023-01-14 21:53 JavaScript get Vector int64Array 0.003 s 0.256
2023-01-14 21:53 JavaScript get Vector float64Array 0.002 s 0.175
2023-01-14 21:53 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 21:53 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.188 s -0.074
2023-01-14 21:53 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.543
2023-01-14 21:53 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.837
2023-01-14 21:53 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-14 21:53 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 21:53 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.191 s -1.614