Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-14 16:39 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.065 s -1.165
2023-01-14 16:38 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.784 s -0.171
2023-01-14 16:39 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.244 s 0.223
2023-01-14 16:40 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.022 s -1.156
2023-01-14 16:40 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.438 s 0.030
2023-01-14 16:41 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.114 s 0.283
2023-01-14 16:41 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.534 s 1.157
2023-01-14 16:42 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.460 s 1.170
2023-01-14 16:44 Python dataframe-to-table type_integers 0.010 s -0.874
2023-01-14 16:44 Python dataframe-to-table type_dict 0.011 s 0.747
2023-01-14 16:44 Python dataframe-to-table type_floats 0.010 s 0.127
2023-01-14 16:44 Python dataset-filter nyctaxi_2010-01 1.027 s -0.283
2023-01-14 16:44 Python dataframe-to-table type_strings 0.432 s -1.507
2023-01-14 16:44 Python dataframe-to-table type_nested 2.976 s 0.068
2023-01-14 16:43 Python dataframe-to-table chi_traffic_2020_Q1 20.915 s 1.274
2023-01-14 16:52 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.418 s 1.320
2023-01-14 16:47 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 67.724 s 1.513
2023-01-14 17:03 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.654 s 0.231
2023-01-14 17:18 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.688 s 0.728
2023-01-14 17:31 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.612 s 0.288
2023-01-14 17:32 Python file-read lz4, feather, table, fanniemae_2016Q4 0.821 s 0.177
2023-01-14 17:50 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.328 s -0.422
2023-01-14 17:03 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.227 s 0.037
2023-01-14 17:03 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.179 s -1.040
2023-01-14 17:04 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.232
2023-01-14 17:08 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.291 s -2.352
2023-01-14 17:03 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.313 s 0.101
2023-01-14 17:03 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.031 s 0.257
2023-01-14 17:04 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.066
2023-01-14 17:03 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.198 s 0.005
2023-01-14 17:04 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -1.061
2023-01-14 17:05 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.529 s 0.495
2023-01-14 17:09 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.117
2023-01-14 17:16 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -2.423
2023-01-14 17:04 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -1.537
2023-01-14 17:16 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.999 s 0.580
2023-01-14 17:16 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.767
2023-01-14 17:04 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 0.492
2023-01-14 17:02 Python dataset-read async=True, nyctaxi_multi_ipc_s3 215.745 s 1.287
2023-01-14 17:03 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.374 s -0.435
2023-01-14 17:03 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.020 s 0.296
2023-01-14 17:04 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.132 s -0.014
2023-01-14 17:04 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.930 s -2.067
2023-01-14 17:03 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.216 s -0.686
2023-01-14 17:04 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.287
2023-01-14 17:08 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.544
2023-01-14 17:17 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.339
2023-01-14 17:36 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.417 s -1.447
2023-01-14 17:16 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.718
2023-01-14 17:32 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.999 s -0.294
2023-01-14 17:32 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.918 s 0.242
2023-01-14 17:32 Python file-read lz4, feather, table, nyctaxi_2010-01 0.677 s 0.284
2023-01-14 17:37 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.230 s 0.088
2023-01-14 17:37 Python file-write lz4, feather, table, fanniemae_2016Q4 1.867 s -0.113
2023-01-14 17:40 Python wide-dataframe use_legacy_dataset=false 0.510 s 0.698
2023-01-14 17:49 R dataframe-to-table chi_traffic_2020_Q1, R 4.344 s -1.111
2023-01-14 17:21 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.899 s -2.544
2023-01-14 17:31 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.234 s 0.736
2023-01-14 17:31 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.621 s 0.435
2023-01-14 17:31 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.318 s 0.346
2023-01-14 17:49 R dataframe-to-table type_integers, R 0.010 s -0.124
2023-01-14 17:49 R dataframe-to-table type_nested, R 0.574 s -0.471
2023-01-14 17:50 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.572 s -0.152
2023-01-14 17:52 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.220 s 0.303
2023-01-14 17:56 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.290 s -2.166
2023-01-14 17:22 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.409 s 0.332
2023-01-14 17:32 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.626 s 0.375
2023-01-14 17:32 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.217 s 0.479
2023-01-14 17:34 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.271 s -1.436
2023-01-14 17:50 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.327 s -0.287
2023-01-14 17:50 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -0.386
2023-01-14 17:53 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.866 s -2.123
2023-01-14 18:06 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.754 s -1.399
2023-01-14 18:10 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.589 s -0.684
2023-01-14 17:17 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.048 s -2.513
2023-01-14 17:31 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.497 s 0.113
2023-01-14 17:32 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.989 s -0.103
2023-01-14 17:33 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.767 s -2.286
2023-01-14 17:38 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.366 s -0.884
2023-01-14 17:40 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.693 s 0.181
2023-01-14 17:40 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.108 s 0.157
2023-01-14 17:51 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.594 s 0.300
2023-01-14 17:32 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.910 s 0.329
2023-01-14 17:32 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.583 s 0.339
2023-01-14 17:35 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.904 s -2.111
2023-01-14 17:39 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.764 s -0.947
2023-01-14 17:49 R dataframe-to-table type_strings, R 0.533 s 0.629
2023-01-14 17:52 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.810 s 0.336
2023-01-14 17:58 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.300 s -2.055
2023-01-14 18:03 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.986 s -1.590
2023-01-14 18:07 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.310 s 0.255
2023-01-14 17:17 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.866 s 0.699
2023-01-14 17:21 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.408 s -0.223
2023-01-14 17:31 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.493 s 0.091
2023-01-14 17:32 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.925 s 0.379
2023-01-14 17:40 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.170 s 0.317
2023-01-14 17:49 R dataframe-to-table type_floats, R 0.013 s 0.666
2023-01-14 17:51 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.569 s -0.350
2023-01-14 17:52 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.895 s 0.299
2023-01-14 18:02 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.478 s 0.429
2023-01-14 18:12 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.002 s 0.274
2023-01-14 18:13 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.151
2023-01-14 18:16 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.267 s -3.401
2023-01-14 17:17 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.227 s -2.733
2023-01-14 17:33 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.330 s 0.322
2023-01-14 17:36 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.298 s 0.029
2023-01-14 17:38 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.893 s 0.378
2023-01-14 17:40 Python file-write lz4, feather, table, nyctaxi_2010-01 1.763 s 0.267
2023-01-14 17:40 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.279
2023-01-14 17:51 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.568 s 0.260
2023-01-14 17:52 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.915 s -0.225
2023-01-14 18:04 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.799 s -1.440
2023-01-14 18:12 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.142
2023-01-14 18:13 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.435 s 0.045
2023-01-14 18:18 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.352 s 0.170
2023-01-14 18:19 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.636 s 0.141
2023-01-14 17:39 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.249 s -0.862
2023-01-14 17:49 R dataframe-to-table type_dict, R 0.046 s 1.434
2023-01-14 17:51 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.847 s 0.250
2023-01-14 17:51 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.570 s -0.310
2023-01-14 17:51 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.913 s -0.184
2023-01-14 17:55 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.804 s -1.801
2023-01-14 18:11 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.275 s -0.090
2023-01-14 18:12 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.282 s -0.304
2023-01-14 17:38 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.901 s -0.913
2023-01-14 17:51 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.313 s 0.238
2023-01-14 17:52 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.578 s 0.297
2023-01-14 18:14 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.338 s -5.984
2023-01-14 18:14 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.338 s -2.952
2023-01-14 18:16 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.271 s -3.913
2023-01-14 18:19 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s -0.039
2023-01-14 18:22 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.323 s -1.057
2023-01-14 18:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.338 s 0.218
2023-01-14 18:26 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.221
2023-01-14 18:28 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.299
2023-01-14 18:29 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.209
2023-01-14 18:31 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.192
2023-01-14 18:31 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.184
2023-01-14 18:32 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.358 s 0.378
2023-01-14 18:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.237 s -0.012
2023-01-14 18:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.591 s 0.022
2023-01-14 18:35 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.307 s -0.416
2023-01-14 17:59 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.961 s -0.190
2023-01-14 18:09 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.474 s -1.387
2023-01-14 18:10 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.248 s 0.688
2023-01-14 18:10 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.602 s -0.300
2023-01-14 18:12 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.687 s 0.575
2023-01-14 18:13 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.129
2023-01-14 18:22 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.519 s -3.821
2023-01-14 18:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.394 s 0.214
2023-01-14 18:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.720 s -0.021
2023-01-14 18:27 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.254 s 0.316
2023-01-14 18:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.335 s 0.130
2023-01-14 18:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.252
2023-01-14 18:40 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.221
2023-01-14 18:45 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.317 s 0.223
2023-01-14 18:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.160
2023-01-14 18:55 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.310 s 0.047
2023-01-14 18:56 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.278 s 0.310
2023-01-14 19:04 JavaScript toArray Vector int32Array
2023-01-14 18:00 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.033 s 0.151
2023-01-14 18:05 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.715 s -1.524
2023-01-14 18:13 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.194
2023-01-14 18:18 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.325 s -0.100
2023-01-14 18:20 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.182
2023-01-14 18:25 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.612 s 0.287
2023-01-14 18:30 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.753 s -0.347
2023-01-14 18:36 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.089
2023-01-14 18:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.219 s 0.205
2023-01-14 18:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.268
2023-01-14 18:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.144
2023-01-14 18:47 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.126
2023-01-14 18:54 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.660 s -0.636
2023-01-14 19:04 JavaScript Spread Vector float64Array 0.008 s -1.870
2023-01-14 19:04 JavaScript toArray Vector uint16Array
2023-01-14 18:01 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.499 s -1.933
2023-01-14 18:08 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.190 s -0.992
2023-01-14 18:10 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.081 s -0.639
2023-01-14 18:10 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.190
2023-01-14 18:11 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.213
2023-01-14 18:12 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.137
2023-01-14 18:16 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.352 s -5.038
2023-01-14 18:17 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.263
2023-01-14 18:18 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.313 s 0.253
2023-01-14 18:10 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.547 s 0.764
2023-01-14 18:11 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.212
2023-01-14 18:11 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s -0.178
2023-01-14 18:12 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.137
2023-01-14 18:13 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.046 s -0.062
2023-01-14 18:14 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.462 s -6.351
2023-01-14 18:16 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.863 s -3.849
2023-01-14 18:17 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.295 s -1.771
2023-01-14 18:18 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.191
2023-01-14 18:21 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.418 s -3.753
2023-01-14 18:23 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.217
2023-01-14 18:23 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.657 s 0.164
2023-01-14 18:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.431 s 0.075
2023-01-14 18:25 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.694 s 0.232
2023-01-14 18:25 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.270 s 0.341
2023-01-14 18:29 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.258 s 0.267
2023-01-14 18:29 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.189
2023-01-14 18:30 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.874 s 0.407
2023-01-14 18:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.215 s -0.155
2023-01-14 18:32 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.144 s 0.423
2023-01-14 18:11 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.124
2023-01-14 18:14 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.740 s -7.203
2023-01-14 18:17 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.379 s -4.990
2023-01-14 18:18 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.192 s -0.055
2023-01-14 18:22 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.373 s 0.253
2023-01-14 18:25 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.303
2023-01-14 18:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.229 s 0.234
2023-01-14 18:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.330 s 0.056
2023-01-14 18:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.172
2023-01-14 18:33 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.527 s 0.437
2023-01-14 18:38 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.621 s -0.254
2023-01-14 18:40 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.050 s 0.251
2023-01-14 18:48 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 7.454 s -7.390
2023-01-14 19:04 JavaScript Iterate Vector dictionary 0.004 s 0.181
2023-01-14 19:04 JavaScript toArray Vector float32Array
2023-01-14 18:13 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.647 s 0.451
2023-01-14 18:15 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.966 s -3.709
2023-01-14 18:18 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.920 s -0.175
2023-01-14 18:18 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.259 s 0.283
2023-01-14 18:22 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.376 s -2.986
2023-01-14 18:23 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.786 s -0.051
2023-01-14 18:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.332 s 0.276
2023-01-14 18:26 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.245
2023-01-14 18:27 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.117 s -0.137
2023-01-14 18:30 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.651 s 0.130
2023-01-14 18:31 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.532 s 0.221
2023-01-14 18:33 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.865 s 0.276
2023-01-14 18:38 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.587 s 0.064
2023-01-14 18:41 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.663 s 0.210
2023-01-14 18:47 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.629 s -2.297
2023-01-14 18:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.419 s -4.648
2023-01-14 19:04 JavaScript vectorFromArray numbers 0.016 s -0.578
2023-01-14 18:19 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.653 s 0.214
2023-01-14 18:20 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.229
2023-01-14 18:20 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s 0.331
2023-01-14 18:20 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.624 s -3.389
2023-01-14 18:22 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.452 s -2.571
2023-01-14 18:23 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.545 s 0.286
2023-01-14 18:26 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.124
2023-01-14 18:27 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.954 s 0.218
2023-01-14 18:31 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.871 s -0.334
2023-01-14 18:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.302 s -0.018
2023-01-14 18:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.477 s -0.217
2023-01-14 18:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.143
2023-01-14 18:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.329 s 0.178
2023-01-14 18:35 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.551 s -1.242
2023-01-14 18:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.925 s 0.116
2023-01-14 18:38 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.225
2023-01-14 18:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.328 s 0.048
2023-01-14 18:41 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.977 s -0.236
2023-01-14 18:42 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.765 s 0.010
2023-01-14 18:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.246
2023-01-14 18:20 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.270
2023-01-14 18:20 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.212 s -1.480
2023-01-14 18:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.368 s 0.256
2023-01-14 18:26 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.768 s 0.233
2023-01-14 18:34 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.186 s 0.127
2023-01-14 18:36 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.441 s -0.118
2023-01-14 18:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.265
2023-01-14 18:41 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.211
2023-01-14 18:43 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.439 s 0.394
2023-01-14 18:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s -0.078
2023-01-14 18:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.194
2023-01-14 18:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.065
2023-01-14 19:04 JavaScript Spread Vector string 0.146 s -0.527
2023-01-14 19:04 JavaScript toArray Vector int64Array
2023-01-14 19:04 JavaScript toArray Vector dictionary 0.010 s -0.394
2023-01-14 18:32 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.254 s 0.203
2023-01-14 18:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.426 s -0.184
2023-01-14 18:35 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.862 s -0.643
2023-01-14 18:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.266 s 0.178
2023-01-14 18:37 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.558 s -0.612
2023-01-14 18:37 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.207 s 0.306
2023-01-14 18:38 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.175
2023-01-14 18:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.244
2023-01-14 18:41 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.320 s 0.249
2023-01-14 18:44 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.241 s 0.106
2023-01-14 18:46 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.188 s 0.568
2023-01-14 18:49 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.573 s -8.301
2023-01-14 18:49 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.923 s -6.911
2023-01-14 19:04 JavaScript vectorFromArray booleans 0.018 s -0.004
2023-01-14 19:04 JavaScript Spread Vector uint8Array 0.007 s -1.017
2023-01-14 19:04 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.405
2023-01-14 18:35 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.079
2023-01-14 18:37 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.731 s 0.312
2023-01-14 18:37 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s 0.256
2023-01-14 18:38 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.184
2023-01-14 18:39 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.552 s 0.031
2023-01-14 18:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.267
2023-01-14 18:40 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.523 s 0.268
2023-01-14 18:40 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.879 s 0.360
2023-01-14 18:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.266
2023-01-14 18:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.187
2023-01-14 18:43 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.402 s 0.303
2023-01-14 18:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.039
2023-01-14 18:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.888 s -0.307
2023-01-14 18:45 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.639 s -1.561
2023-01-14 18:49 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.763 s -5.127
2023-01-14 18:50 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.886 s -1.052
2023-01-14 18:52 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.877 s -0.947
2023-01-14 18:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.320 s -3.597
2023-01-14 18:55 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.266 s -4.890
2023-01-14 18:55 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.337 s -2.722
2023-01-14 18:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.267 s 0.112
2023-01-14 18:43 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.532 s 0.244
2023-01-14 18:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.444 s 0.015
2023-01-14 18:47 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.945 s 0.449
2023-01-14 19:04 JavaScript Iterate Vector float32Array 0.002 s -0.267
2023-01-14 19:04 JavaScript Spread Vector float32Array 0.008 s -0.398
2023-01-14 19:04 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.024
2023-01-14 19:04 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.256
2023-01-14 18:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.154
2023-01-14 18:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.375 s 0.109
2023-01-14 18:50 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.173 s -3.127
2023-01-14 19:04 JavaScript Iterate Vector int8Array 0.002 s -0.370
2023-01-14 19:04 JavaScript Iterate Vector int32Array 0.002 s -0.416
2023-01-14 19:04 JavaScript Iterate Vector numbers 0.002 s -1.390
2023-01-14 19:04 JavaScript Spread Vector uint32Array 0.007 s -0.746
2023-01-14 19:04 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.554
2023-01-14 18:55 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.209
2023-01-14 18:55 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.450 s 0.196
2023-01-14 19:04 JavaScript Iterate Vector uint16Array 0.002 s 0.083
2023-01-14 19:04 JavaScript Iterate Vector uint64Array 0.004 s 0.129
2023-01-14 19:04 JavaScript Spread Vector booleans 0.010 s -0.713
2023-01-14 19:04 JavaScript toArray Vector int16Array
2023-01-14 19:04 JavaScript get Vector uint32Array 0.003 s 0.180
2023-01-14 19:04 JavaScript vectorFromArray dictionary 0.017 s 0.629
2023-01-14 19:04 JavaScript Spread Vector uint64Array 0.012 s -0.351
2023-01-14 19:04 JavaScript Spread Vector int64Array 0.012 s -0.324
2023-01-14 19:04 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.160
2023-01-14 19:04 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.391
2023-01-14 19:04 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.609
2023-01-14 19:04 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.214
2023-01-14 19:04 JavaScript Iterate Vector uint8Array 0.002 s -1.004
2023-01-14 19:04 JavaScript Iterate Vector uint32Array 0.002 s -0.183
2023-01-14 19:04 JavaScript Spread Vector int32Array 0.007 s -0.635
2023-01-14 19:04 JavaScript toArray Vector uint8Array
2023-01-14 19:04 JavaScript toArray Vector uint32Array
2023-01-14 19:04 JavaScript toArray Vector int8Array
2023-01-14 19:04 JavaScript Iterate Vector int16Array 0.002 s -0.033
2023-01-14 19:04 JavaScript Iterate Vector int64Array 0.004 s 0.217
2023-01-14 19:04 JavaScript Iterate Vector float64Array 0.002 s -1.399
2023-01-14 19:04 JavaScript Iterate Vector booleans 0.004 s 0.479
2023-01-14 19:04 JavaScript Iterate Vector string 0.125 s 0.916
2023-01-14 19:04 JavaScript Spread Vector uint16Array 0.007 s -1.102
2023-01-14 19:04 JavaScript Spread Vector int8Array 0.007 s -0.415
2023-01-14 19:04 JavaScript Spread Vector numbers 0.008 s -1.471
2023-01-14 19:04 JavaScript Spread Vector dictionary 0.010 s 0.370
2023-01-14 19:04 JavaScript get Vector uint64Array 0.003 s 0.102
2023-01-14 19:04 JavaScript get Vector int64Array 0.003 s 0.105
2023-01-14 19:04 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 19:04 JavaScript Spread Vector int16Array 0.007 s -0.616
2023-01-14 19:04 JavaScript toArray Vector uint64Array
2023-01-14 19:04 JavaScript get Vector uint8Array 0.003 s 0.225
2023-01-14 19:04 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 19:04 JavaScript Table tracks, 1,000,000 0.260 s 0.535
2023-01-14 19:04 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.239
2023-01-14 19:04 JavaScript toArray Vector float64Array
2023-01-14 19:04 JavaScript toArray Vector string 0.146 s -0.176
2023-01-14 19:04 JavaScript get Vector uint16Array 0.003 s 0.221
2023-01-14 19:04 JavaScript get Vector int16Array 0.003 s 0.186
2023-01-14 19:04 JavaScript get Vector float64Array 0.002 s 0.822
2023-01-14 19:04 JavaScript get Vector string 0.124 s 0.371
2023-01-14 19:04 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.800
2023-01-14 19:04 JavaScript toArray Vector numbers
2023-01-14 19:04 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-14 19:04 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.703
2023-01-14 19:04 JavaScript toArray Vector booleans 0.010 s -0.987
2023-01-14 19:04 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.183 s 1.630
2023-01-14 19:04 JavaScript get Vector int8Array 0.003 s 0.036
2023-01-14 19:04 JavaScript get Vector int32Array 0.003 s 0.153
2023-01-14 19:04 JavaScript get Vector float32Array 0.002 s -0.417
2023-01-14 19:04 JavaScript get Vector numbers 0.002 s -0.742
2023-01-14 19:04 JavaScript get Vector dictionary 0.002 s -0.939
2023-01-14 19:04 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.186 s 1.195
2023-01-14 19:04 JavaScript get Vector booleans 0.002 s 0.149
2023-01-14 19:04 JavaScript Parse write recordBatches, tracks 0.002 s 0.292
2023-01-14 19:04 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.216
2023-01-14 19:04 JavaScript Parse read recordBatches, tracks 0.000 s -0.067
2023-01-14 19:04 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.636
2023-01-14 19:04 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.837
2023-01-14 19:04 JavaScript Table tracks, 1,000,000 0.095 s -0.334
2023-01-14 19:04 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -1.109
2023-01-14 19:04 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-14 19:04 JavaScript Table tracks, 1,000,000 0.050 s 0.106
2023-01-14 19:04 JavaScript Table 1,000,000, tracks 0.275 s -0.041
2023-01-14 19:04 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.515
2023-01-14 19:04 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.155