Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-14 02:37 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.253 s 0.155
2023-01-14 02:37 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.797 s -1.191
2023-01-14 02:38 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.502 s 0.666
2023-01-14 02:38 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.387 s 0.916
2023-01-14 02:39 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.426 s 1.731
2023-01-14 02:39 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.136 s 0.069
2023-01-14 02:39 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.421 s -0.875
2023-01-14 02:40 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.350 s -0.847
2023-01-14 02:42 Python dataframe-to-table chi_traffic_2020_Q1 21.065 s 0.540
2023-01-14 02:42 Python dataframe-to-table type_floats 0.010 s 0.214
2023-01-14 02:42 Python dataframe-to-table type_strings 0.429 s -0.483
2023-01-14 02:42 Python dataframe-to-table type_dict 0.011 s 0.199
2023-01-14 02:42 Python dataframe-to-table type_integers 0.010 s 0.680
2023-01-14 02:42 Python dataframe-to-table type_nested 2.965 s 0.577
2023-01-14 02:42 Python dataset-filter nyctaxi_2010-01 0.985 s 0.537
2023-01-14 02:46 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 63.998 s 2.003
2023-01-14 03:02 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.186 s 0.526
2023-01-14 03:02 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.161 s 0.265
2023-01-14 03:02 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.060 s 0.172
2023-01-14 03:03 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.760 s -0.249
2023-01-14 03:01 Python dataset-read async=True, nyctaxi_multi_ipc_s3 229.986 s -1.457
2023-01-14 03:02 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.128 s 0.102
2023-01-14 03:03 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.671
2023-01-14 03:15 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.020
2023-01-14 03:08 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.152 s -0.520
2023-01-14 03:15 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.242 s -0.261
2023-01-14 03:15 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.249
2023-01-14 02:50 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.003 s 0.689
2023-01-14 03:02 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.311 s 0.033
2023-01-14 03:02 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.290 s 0.254
2023-01-14 03:02 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.201 s 0.223
2023-01-14 03:03 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.903 s 1.095
2023-01-14 03:07 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 29.993 s 1.226
2023-01-14 03:03 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -1.042
2023-01-14 03:16 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.805
2023-01-14 03:02 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.042 s 0.241
2023-01-14 03:02 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.661 s 0.216
2023-01-14 03:03 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.255
2023-01-14 03:16 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.869 s -0.397
2023-01-14 03:17 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.723 s -0.419
2023-01-14 03:20 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.404 s 0.974
2023-01-14 03:03 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.424
2023-01-14 03:02 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.151 s 0.421
2023-01-14 03:03 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.303 s 1.190
2023-01-14 03:07 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.154 s -1.920
2023-01-14 03:15 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.280 s 0.957
2023-01-14 03:04 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.554 s -0.392
2023-01-14 03:16 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 2.971 s 1.293
2023-01-14 03:21 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.406 s 1.168
2023-01-14 03:16 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.752
2023-01-14 03:20 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.163 s 1.090
2023-01-14 03:30 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.623 s 0.373
2023-01-14 03:30 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.483 s 0.479
2023-01-14 03:30 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.598 s 0.455
2023-01-14 03:30 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.306 s 0.372
2023-01-14 03:29 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.588 s -0.407
2023-01-14 03:30 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.475 s 0.695
2023-01-14 03:30 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.628 s 0.386
2023-01-14 03:31 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.932 s 0.664
2023-01-14 03:31 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.945 s 0.405
2023-01-14 03:31 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.927 s 0.355
2023-01-14 03:31 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.582 s 0.323
2023-01-14 03:31 Python file-read lz4, feather, table, fanniemae_2016Q4 0.811 s 0.395
2023-01-14 03:31 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.886 s 0.638
2023-01-14 03:31 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.213 s 0.629
2023-01-14 03:31 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.891 s 0.549
2023-01-14 03:31 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.319 s 0.444
2023-01-14 03:31 Python file-read lz4, feather, table, nyctaxi_2010-01 0.668 s 0.379
2023-01-14 03:33 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.866 s 0.690
2023-01-14 03:32 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.360 s 0.582
2023-01-14 03:34 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.553 s 0.463
2023-01-14 03:35 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.003 s 0.844
2023-01-14 03:35 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.284 s -0.053
2023-01-14 03:36 Python file-write lz4, feather, table, fanniemae_2016Q4 1.849 s -0.043
2023-01-14 03:36 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.225 s -0.028
2023-01-14 03:37 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.869 s 0.498
2023-01-14 03:37 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.245 s -0.027
2023-01-14 03:37 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.775 s -0.094
2023-01-14 03:38 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.633 s 0.076
2023-01-14 03:38 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.134 s 0.029
2023-01-14 03:39 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.244
2023-01-14 03:39 Python wide-dataframe use_legacy_dataset=false 0.514 s 0.232
2023-01-14 03:38 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.691 s 0.033
2023-01-14 03:39 Python file-write lz4, feather, table, nyctaxi_2010-01 1.761 s 0.246
2023-01-14 03:39 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.099 s 0.040
2023-01-14 03:39 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.185 s 0.051
2023-01-14 03:50 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.848 s 0.243
2023-01-14 03:48 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.308 s 0.335
2023-01-14 03:50 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.887 s 0.523
2023-01-14 03:49 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.561 s 0.235
2023-01-14 03:48 R dataframe-to-table type_nested, R 0.574 s -0.351
2023-01-14 03:51 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.339
2023-01-14 03:51 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.813 s 0.329
2023-01-14 03:47 R dataframe-to-table chi_traffic_2020_Q1, R 4.483 s -3.628
2023-01-14 03:49 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.319 s 0.210
2023-01-14 03:49 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.568 s 0.260
2023-01-14 03:50 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.881 s 0.448
2023-01-14 03:48 R dataframe-to-table type_dict, R 0.047 s 1.543
2023-01-14 03:59 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.183
2023-01-14 04:08 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.090 s -1.109
2023-01-14 03:48 R dataframe-to-table type_floats, R 0.013 s 0.709
2023-01-14 03:49 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.551 s 0.470
2023-01-14 03:50 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.533 s 0.480
2023-01-14 03:51 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.909 s 0.243
2023-01-14 04:09 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.545 s 0.612
2023-01-14 04:10 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s 0.213
2023-01-14 03:48 R dataframe-to-table type_strings, R 0.533 s 0.518
2023-01-14 03:51 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.582 s 0.287
2023-01-14 03:52 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.483 s 0.679
2023-01-14 04:05 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.657 s -0.080
2023-01-14 04:06 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.308 s 0.871
2023-01-14 04:07 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.181 s -0.679
2023-01-14 04:07 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s 0.448
2023-01-14 04:08 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.564 s -0.160
2023-01-14 03:48 R dataframe-to-table type_integers, R 0.010 s 0.022
2023-01-14 03:50 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.596 s 0.294
2023-01-14 03:50 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.536 s 0.577
2023-01-14 03:59 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.031 s 0.092
2023-01-14 03:49 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.298 s 0.519
2023-01-14 03:54 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.426 s 0.860
2023-01-14 03:55 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.905 s 0.639
2023-01-14 03:57 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.952 s 0.334
2023-01-14 04:10 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 0.994 s 1.135
2023-01-14 04:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.101
2023-01-14 04:01 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.493 s 0.061
2023-01-14 04:09 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.244 s 1.334
2023-01-14 04:10 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.124
2023-01-14 04:12 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.650 s 0.188
2023-01-14 04:12 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.152
2023-01-14 04:13 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s 0.164
2023-01-14 03:57 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.965 s -0.886
2023-01-14 04:03 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.687 s 0.053
2023-01-14 04:04 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.612 s -0.123
2023-01-14 04:02 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.883 s -0.164
2023-01-14 04:09 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.592 s 0.598
2023-01-14 04:11 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s 0.212
2023-01-14 04:12 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.051 s -0.276
2023-01-14 04:12 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.148
2023-01-14 04:14 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.511 s -0.229
2023-01-14 04:18 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.351 s 0.261
2023-01-14 04:19 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.222
2023-01-14 04:10 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.585 s -0.047
2023-01-14 04:22 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.745 s -0.223
2023-01-14 04:26 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.191
2023-01-14 04:28 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.522 s 0.974
2023-01-14 04:30 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.267 s 0.123
2023-01-14 04:09 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.190
2023-01-14 04:11 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.836 s -0.525
2023-01-14 04:11 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.138
2023-01-14 04:13 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.582 s 0.154
2023-01-14 04:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.242
2023-01-14 04:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.251
2023-01-14 04:15 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.181 s 0.149
2023-01-14 04:15 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.313 s 0.252
2023-01-14 04:09 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.195
2023-01-14 04:13 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.892 s 0.501
2023-01-14 04:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.202 s 0.137
2023-01-14 04:18 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.504 s 0.238
2023-01-14 04:20 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.590 s -0.084
2023-01-14 04:20 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.143
2023-01-14 04:21 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.715 s 0.106
2023-01-14 04:22 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.325 s 0.240
2023-01-14 04:22 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.371 s 0.210
2023-01-14 04:09 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.167
2023-01-14 04:11 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.076
2023-01-14 04:12 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.184
2023-01-14 04:16 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.634 s 0.215
2023-01-14 04:21 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.133
2023-01-14 04:22 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.438 s 0.283
2023-01-14 04:23 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.960 s -0.245
2023-01-14 04:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.052
2023-01-14 04:11 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.192
2023-01-14 04:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.097
2023-01-14 04:15 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.263 s 0.020
2023-01-14 04:17 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.265
2023-01-14 04:18 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.255 s -0.229
2023-01-14 04:19 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.338 s 0.326
2023-01-14 04:19 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.372 s 0.283
2023-01-14 04:24 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.300 s 0.234
2023-01-14 04:12 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.213
2023-01-14 04:14 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.248
2023-01-14 04:15 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.912 s 0.190
2023-01-14 04:15 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.196
2023-01-14 04:16 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.318 s 0.301
2023-01-14 04:17 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.712 s -0.676
2023-01-14 04:20 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.393 s 0.226
2023-01-14 04:24 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.208
2023-01-14 04:14 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.256
2023-01-14 04:17 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.161
2023-01-14 04:17 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.177 s 0.330
2023-01-14 04:20 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.340 s 0.161
2023-01-14 04:26 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s 0.200
2023-01-14 04:27 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.094
2023-01-14 04:27 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.476 s -0.057
2023-01-14 04:16 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s -0.052
2023-01-14 04:17 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s 0.350
2023-01-14 04:19 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s 0.202
2023-01-14 04:23 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.768 s 0.208
2023-01-14 04:25 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.739 s -0.313
2023-01-14 04:17 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.159 s 0.284
2023-01-14 04:20 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.777 s 0.404
2023-01-14 04:20 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.125
2023-01-14 04:21 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.612 s 0.225
2023-01-14 04:24 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.147
2023-01-14 04:16 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.351 s 0.200
2023-01-14 04:18 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.290 s 0.254
2023-01-14 04:19 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.292 s 0.257
2023-01-14 04:22 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.259
2023-01-14 04:22 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.241
2023-01-14 04:29 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.602 s -0.921
2023-01-14 04:31 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.441 s -0.140
2023-01-14 04:34 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.287 s 0.165
2023-01-14 04:25 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.879 s 0.128
2023-01-14 04:26 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.229 s 0.231
2023-01-14 04:26 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.862 s 0.426
2023-01-14 04:29 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.425 s -0.176
2023-01-14 04:23 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.097 s 0.002
2023-01-14 04:25 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.170
2023-01-14 04:27 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s 0.301
2023-01-14 04:27 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.360 s 0.311
2023-01-14 04:30 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.293 s 0.423
2023-01-14 04:30 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.551 s -1.378
2023-01-14 04:33 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.199
2023-01-14 04:34 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.274
2023-01-14 04:34 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.269
2023-01-14 04:34 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.324 s 0.215
2023-01-14 04:35 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.056 s 0.196
2023-01-14 04:35 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.211
2023-01-14 04:39 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.210 s 0.585
2023-01-14 04:24 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.114
2023-01-14 04:24 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.158
2023-01-14 04:25 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.131
2023-01-14 04:27 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.303 s -0.117
2023-01-14 04:34 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.275
2023-01-14 04:35 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.884 s 0.080
2023-01-14 04:36 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.089
2023-01-14 04:37 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.246
2023-01-14 04:41 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.129
2023-01-14 04:43 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.430
2023-01-14 04:49 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.166
2023-01-14 04:24 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.650 s 0.162
2023-01-14 04:26 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.179 s -0.043
2023-01-14 04:27 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.877 s 0.030
2023-01-14 04:28 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.290 s -0.240
2023-01-14 04:29 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.183
2023-01-14 04:29 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.236 s 0.038
2023-01-14 04:26 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.534 s 0.168
2023-01-14 04:29 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.863 s -0.765
2023-01-14 04:41 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.170
2023-01-14 04:49 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.261
2023-01-14 04:49 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.451 s 0.166
2023-01-14 04:29 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.328 s 0.269
2023-01-14 04:32 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.567 s -0.888
2023-01-14 04:33 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.154
2023-01-14 04:37 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.187
2023-01-14 04:38 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.439 s 0.430
2023-01-14 04:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.404 s 0.648
2023-01-14 04:58 JavaScript vectorFromArray dictionary 0.017 s 0.026
2023-01-14 04:30 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s -0.033
2023-01-14 04:31 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.102
2023-01-14 04:32 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.269
2023-01-14 04:33 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.585 s 0.085
2023-01-14 04:34 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.580 s -0.334
2023-01-14 04:35 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.524 s 0.254
2023-01-14 04:36 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.667 s 0.001
2023-01-14 04:38 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 0.260
2023-01-14 04:46 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.777 s 0.177
2023-01-14 04:49 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.259 s 0.237
2023-01-14 04:32 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s 0.239
2023-01-14 04:37 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.267 s 0.101
2023-01-14 04:49 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.308 s 0.138
2023-01-14 04:50 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.303 s 0.035
2023-01-14 04:58 JavaScript toArray Vector int64Array
2023-01-14 04:31 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.335 s 0.115
2023-01-14 04:31 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.988 s -1.418
2023-01-14 04:32 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.754 s 0.208
2023-01-14 04:33 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.182
2023-01-14 04:33 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.595 s 1.182
2023-01-14 04:37 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.719 s 0.176
2023-01-14 04:37 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.243 s 0.205
2023-01-14 04:39 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.272 s 0.144
2023-01-14 04:40 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.593 s 1.012
2023-01-14 04:42 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.374 s 0.123
2023-01-14 04:42 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.957 s 0.204
2023-01-14 04:36 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.323 s 0.140
2023-01-14 04:36 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.961 s 0.036
2023-01-14 04:38 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.538 s -0.062
2023-01-14 04:41 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.305 s -0.933
2023-01-14 04:43 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.036 s -0.201
2023-01-14 04:58 JavaScript Iterate Vector uint32Array 0.002 s -0.238
2023-01-14 04:58 JavaScript Iterate Vector numbers 0.002 s -0.982
2023-01-14 04:35 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.217 s 0.194
2023-01-14 04:39 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.179
2023-01-14 04:42 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.150
2023-01-14 04:42 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.603 s 0.133
2023-01-14 04:43 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.727 s 0.044
2023-01-14 04:58 JavaScript Iterate Vector uint16Array 0.002 s 0.129
2023-01-14 04:35 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.158
2023-01-14 04:39 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s 0.190
2023-01-14 04:40 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.323 s 0.040
2023-01-14 04:41 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.138
2023-01-14 04:44 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.848 s 1.489
2023-01-14 04:48 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.241 s 0.185
2023-01-14 04:58 JavaScript Spread Vector booleans 0.010 s 0.405
2023-01-14 04:58 JavaScript toArray Vector uint16Array
2023-01-14 04:39 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s 0.380
2023-01-14 04:39 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.883 s 0.376
2023-01-14 04:43 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.451 s -0.066
2023-01-14 04:43 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.790 s 0.082
2023-01-14 04:44 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.126 s -0.534
2023-01-14 04:58 JavaScript toArray Vector uint32Array
2023-01-14 04:58 JavaScript get Vector int8Array 0.003 s 0.126
2023-01-14 04:58 JavaScript Table tracks, 1,000,000 0.294 s -1.142
2023-01-14 04:58 JavaScript Table tracks, 1,000,000 0.096 s -0.902
2023-01-14 04:48 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.199 s -0.109
2023-01-14 04:58 JavaScript Iterate Vector uint8Array 0.002 s -0.499
2023-01-14 04:58 JavaScript Iterate Vector int8Array 0.002 s -0.709
2023-01-14 04:58 JavaScript Iterate Vector int32Array 0.002 s -0.517
2023-01-14 04:58 JavaScript Spread Vector numbers 0.008 s 1.527
2023-01-14 04:58 JavaScript Iterate Vector booleans 0.004 s -1.750
2023-01-14 04:58 JavaScript Spread Vector uint64Array 0.012 s 0.653
2023-01-14 04:58 JavaScript toArray Vector string 0.144 s 0.728
2023-01-14 04:58 JavaScript Parse write recordBatches, tracks 0.002 s 0.670
2023-01-14 04:58 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.338
2023-01-14 04:58 JavaScript vectorFromArray numbers 0.016 s 0.204
2023-01-14 04:58 JavaScript Iterate Vector uint64Array 0.004 s 0.268
2023-01-14 04:58 JavaScript Iterate Vector float64Array 0.002 s -1.304
2023-01-14 04:58 JavaScript Spread Vector int64Array 0.012 s 0.228
2023-01-14 04:58 JavaScript toArray Vector uint64Array
2023-01-14 04:58 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.500
2023-01-14 04:58 JavaScript vectorFromArray booleans 0.017 s 0.615
2023-01-14 04:58 JavaScript Spread Vector int32Array 0.007 s 0.212
2023-01-14 04:58 JavaScript Spread Vector float32Array 0.008 s 0.714
2023-01-14 04:58 JavaScript toArray Vector uint8Array
2023-01-14 04:58 JavaScript get Vector uint8Array 0.003 s 0.061
2023-01-14 04:58 JavaScript get Vector int32Array 0.003 s 0.050
2023-01-14 04:58 JavaScript Iterate Vector int16Array 0.002 s -0.168
2023-01-14 04:58 JavaScript Iterate Vector int64Array 0.004 s 0.225
2023-01-14 04:58 JavaScript Iterate Vector string 0.124 s 1.693
2023-01-14 04:58 JavaScript Spread Vector float64Array 0.008 s 0.692
2023-01-14 04:58 JavaScript Spread Vector string 0.143 s 1.698
2023-01-14 04:58 JavaScript toArray Vector int16Array
2023-01-14 04:58 JavaScript get Vector int64Array 0.003 s 0.139
2023-01-14 04:58 JavaScript Iterate Vector float32Array 0.002 s -0.130
2023-01-14 04:58 JavaScript Iterate Vector dictionary 0.004 s -1.699
2023-01-14 04:58 JavaScript Spread Vector uint8Array 0.006 s 0.427
2023-01-14 04:58 JavaScript Spread Vector uint32Array 0.007 s 0.743
2023-01-14 04:58 JavaScript get Vector dictionary 0.002 s 0.089
2023-01-14 04:58 JavaScript Spread Vector uint16Array 0.006 s 0.537
2023-01-14 04:58 JavaScript Spread Vector int16Array 0.006 s 0.550
2023-01-14 04:58 JavaScript get Vector uint16Array 0.003 s 0.118
2023-01-14 04:58 JavaScript get Vector uint64Array 0.003 s 0.229
2023-01-14 04:58 JavaScript get Vector int16Array 0.003 s 0.083
2023-01-14 04:58 JavaScript Spread Vector int8Array 0.006 s 0.211
2023-01-14 04:58 JavaScript toArray Vector int8Array
2023-01-14 04:58 JavaScript toArray Vector int32Array
2023-01-14 04:58 JavaScript toArray Vector numbers
2023-01-14 04:58 JavaScript toArray Vector dictionary 0.010 s 0.973
2023-01-14 04:58 JavaScript get Vector uint32Array 0.003 s 0.080
2023-01-14 04:58 JavaScript Spread Vector dictionary 0.010 s 1.096
2023-01-14 04:58 JavaScript toArray Vector float32Array
2023-01-14 04:58 JavaScript get Vector float32Array 0.002 s 0.392
2023-01-14 04:58 JavaScript get Vector numbers 0.002 s -0.243
2023-01-14 04:58 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.671
2023-01-14 04:58 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.457
2023-01-14 04:58 JavaScript toArray Vector float64Array
2023-01-14 04:58 JavaScript toArray Vector booleans 0.010 s 0.981
2023-01-14 04:58 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.660
2023-01-14 04:58 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.208
2023-01-14 04:58 JavaScript Table tracks, 1,000,000 0.050 s 1.131
2023-01-14 04:58 JavaScript get Vector float64Array 0.002 s -0.439
2023-01-14 04:58 JavaScript get Vector booleans 0.002 s 0.500
2023-01-14 04:58 JavaScript get Vector string 0.123 s 1.213
2023-01-14 04:58 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-14 04:58 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.384
2023-01-14 04:58 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.526
2023-01-14 04:58 JavaScript Parse read recordBatches, tracks 0.000 s 0.809
2023-01-14 04:58 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.120
2023-01-14 04:58 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.303
2023-01-14 04:58 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.339
2023-01-14 04:58 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.760
2023-01-14 04:58 JavaScript Table 1,000,000, tracks 0.316 s -1.923
2023-01-14 04:58 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.410
2023-01-14 04:58 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.761
2023-01-14 04:58 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.061
2023-01-14 04:58 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.332
2023-01-14 04:58 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-14 04:58 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 04:58 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.859
2023-01-14 04:58 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.417
2023-01-14 04:58 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 04:58 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.218