Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-17 22:33 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.084 s -1.218
2023-01-17 22:33 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.108 s 0.323
2023-01-17 22:34 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.282 s 1.480
2023-01-17 22:36 Python dataframe-to-table type_strings 0.424 s 1.431
2023-01-17 22:31 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.794 s -0.642
2023-01-17 22:31 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.261 s 0.137
2023-01-17 22:36 Python dataframe-to-table chi_traffic_2020_Q1 21.265 s -1.528
2023-01-17 22:32 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.139 s -1.329
2023-01-17 22:34 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.340 s 1.513
2023-01-17 22:41 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 78.479 s 0.303
2023-01-17 22:36 Python dataframe-to-table type_floats 0.010 s 0.196
2023-01-17 22:37 Python dataset-filter nyctaxi_2010-01 1.025 s -0.149
2023-01-17 22:33 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.434 s 0.710
2023-01-17 22:36 Python dataframe-to-table type_dict 0.011 s 0.342
2023-01-17 22:36 Python dataframe-to-table type_nested 2.983 s -0.969
2023-01-17 22:36 Python dataframe-to-table type_integers 0.010 s 1.549
2023-01-17 22:45 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.114 s 0.452
2023-01-17 22:57 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.206 s -0.141
2023-01-17 22:56 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.169 s 1.093
2023-01-17 22:57 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.036 s 0.281
2023-01-17 22:57 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.312 s 0.159
2023-01-17 22:56 Python dataset-read async=True, nyctaxi_multi_ipc_s3 230.044 s -0.880
2023-01-17 22:57 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.011 s 0.341
2023-01-17 22:57 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.247 s 0.009
2023-01-17 22:57 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.195 s 0.129
2023-01-17 22:57 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.672 s 0.258
2023-01-17 22:57 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.464
2023-01-17 22:57 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.167 s -0.135
2023-01-17 22:57 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 1.198
2023-01-17 22:58 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 0.884
2023-01-17 22:57 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -0.919
2023-01-17 22:57 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.132 s 0.123
2023-01-17 22:58 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.931 s -1.143
2023-01-17 22:58 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.200 s -2.174
2023-01-17 22:58 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.189
2023-01-17 22:59 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.530 s 0.840
2023-01-17 23:02 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.304 s -1.222
2023-01-17 23:02 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.152 s -0.542
2023-01-17 23:02 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.147 s 0.983
2023-01-17 23:10 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -1.078
2023-01-17 23:10 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.987 s 1.053
2023-01-17 23:11 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.739
2023-01-17 23:11 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.046 s -1.215
2023-01-17 23:11 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.158
2023-01-17 23:10 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.105
2023-01-17 23:10 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.240
2023-01-17 23:10 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.865 s 1.397
2023-01-17 23:12 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.681 s 1.351
2023-01-17 23:15 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.890 s -1.253
2023-01-17 23:15 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.404 s 0.961
2023-01-17 23:16 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.411 s -0.471
2023-01-17 23:24 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.166 s 1.317
2023-01-17 23:25 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.589 s 0.648
2023-01-17 23:25 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.604 s 0.639
2023-01-17 23:25 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.487 s 0.443
2023-01-17 23:25 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.483 s 0.567
2023-01-17 23:25 Python file-read lz4, feather, table, fanniemae_2016Q4 0.810 s 0.399
2023-01-17 23:25 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.318 s 0.344
2023-01-17 23:25 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.626 s 0.312
2023-01-17 23:26 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.933 s 0.106
2023-01-17 23:26 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.215 s 0.126
2023-01-17 23:26 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 1.105 s -1.473
2023-01-17 23:26 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.935 s 0.057
2023-01-17 23:26 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.980 s 0.113
2023-01-17 23:26 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.928 s 0.383
2023-01-17 23:26 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.329 s 0.402
2023-01-17 23:26 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.586 s 0.354
2023-01-17 23:27 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.679 s -1.008
2023-01-17 23:26 Python file-read lz4, feather, table, nyctaxi_2010-01 0.672 s 0.356
2023-01-17 23:28 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.293 s -1.275
2023-01-17 23:29 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.962 s -1.457
2023-01-17 23:30 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.501 s -1.496
2023-01-17 23:30 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.242 s 0.052
2023-01-17 23:31 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.216 s -0.040
2023-01-17 23:31 Python file-write lz4, feather, table, fanniemae_2016Q4 1.842 s 0.119
2023-01-17 23:32 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 6.005 s -1.193
2023-01-17 23:32 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.895 s 0.015
2023-01-17 23:32 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.516 s -1.545
2023-01-17 23:34 Python file-write lz4, feather, table, nyctaxi_2010-01 1.858 s -0.526
2023-01-17 23:33 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.898 s -1.475
2023-01-17 23:33 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.373 s -1.397
2023-01-17 23:33 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.741 s -0.074
2023-01-17 23:34 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.176 s -0.223
2023-01-17 23:34 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.295
2023-01-17 23:43 R dataframe-to-table chi_traffic_2020_Q1, R 4.376 s -1.074
2023-01-17 23:43 R dataframe-to-table type_dict, R 0.063 s -0.981
2023-01-17 23:34 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.269 s -0.506
2023-01-17 23:43 R dataframe-to-table type_integers, R 0.010 s 0.558
2023-01-17 23:45 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.591 s 0.319
2023-01-17 23:34 Python wide-dataframe use_legacy_dataset=false 0.517 s -0.037
2023-01-17 23:44 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.319 s -0.090
2023-01-17 23:45 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.852 s 0.261
2023-01-17 23:46 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.899 s 0.303
2023-01-17 23:44 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.315 s 0.054
2023-01-17 23:44 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.567 s 0.063
2023-01-17 23:43 R dataframe-to-table type_floats, R 0.013 s 0.522
2023-01-17 23:44 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.571 s -0.074
2023-01-17 23:44 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.263
2023-01-17 23:46 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.323
2023-01-17 23:46 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.581 s 0.307
2023-01-17 23:49 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.835 s -1.123
2023-01-17 23:43 R dataframe-to-table type_nested, R 0.574 s -0.222
2023-01-17 23:45 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.569 s -0.163
2023-01-17 23:43 R dataframe-to-table type_strings, R 0.534 s 0.172
2023-01-17 23:54 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.002 s 0.880
2023-01-17 23:45 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.572 s -0.303
2023-01-17 23:45 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s 0.258
2023-01-17 23:46 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.813 s 0.331
2023-01-17 23:52 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.293 s -1.167
2023-01-17 23:58 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.902 s -1.631
2023-01-17 23:53 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.954 s 0.934
2023-01-17 23:57 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.085 s -1.747
2023-01-17 23:59 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.815 s -1.700
2023-01-17 23:45 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.910 s -0.026
2023-01-17 23:46 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.914 s -0.114
2023-01-17 23:47 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.901 s -1.327
2023-01-17 23:50 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.317 s -1.332
2023-01-17 23:55 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.289
2023-01-18 00:02 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.179 s -0.417
2023-01-18 00:04 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.599 s 0.121
2023-01-18 00:04 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.198 s 0.322
2023-01-17 23:56 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.438 s 1.211
2023-01-18 00:00 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.862 s -1.755
2023-01-18 00:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.257
2023-01-18 00:04 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.076 s -0.253
2023-01-18 00:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.592 s -0.222
2023-01-18 00:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.335 s 0.055
2023-01-18 00:09 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.545 s -0.076
2023-01-18 00:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.224
2023-01-18 00:04 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.251 s 0.183
2023-01-18 00:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.434 s 0.122
2023-01-18 00:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.304 s 0.230
2023-01-18 00:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.591 s 0.026
2023-01-18 00:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s 0.161
2023-01-18 00:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.218
2023-01-18 00:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.310
2023-01-18 00:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.508 s 0.220
2023-01-18 00:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.290 s 0.375
2023-01-18 00:04 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.590 s -0.559
2023-01-18 00:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.279 s 0.143
2023-01-18 00:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s 0.241
2023-01-18 00:09 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.882 s 0.876
2023-01-18 00:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.285
2023-01-18 00:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.375 s 0.286
2023-01-18 00:01 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s 0.705
2023-01-18 00:03 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.474 s -1.319
2023-01-18 00:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.667 s -0.977
2023-01-18 00:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.270 s 0.284
2023-01-18 00:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.325 s -0.010
2023-01-18 00:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.256
2023-01-18 00:06 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 4.075 s -1.969
2023-01-18 00:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.160
2023-01-18 00:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.326
2023-01-18 00:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s 0.320
2023-01-18 00:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.209 s -0.254
2023-01-18 00:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.172
2023-01-18 00:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.067 s -0.602
2023-01-18 00:07 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.203
2023-01-18 00:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.231 s 0.362
2023-01-18 00:14 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.265 s -0.003
2023-01-18 00:04 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.556 s 0.392
2023-01-18 00:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.209
2023-01-18 00:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.336 s 0.131
2023-01-18 00:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.226 s 0.299
2023-01-18 00:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.912 s 0.319
2023-01-18 00:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.270
2023-01-18 00:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.316
2023-01-18 00:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.352 s 0.274
2023-01-18 00:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.199 s 0.298
2023-01-18 00:06 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.000 s 0.574
2023-01-18 00:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.353
2023-01-18 00:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.219
2023-01-18 00:12 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.630 s 0.345
2023-01-18 00:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.340 s 0.350
2023-01-18 00:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.320
2023-01-18 00:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.718 s 0.183
2023-01-18 00:17 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.776 s -0.052
2023-01-18 00:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s 0.262
2023-01-18 00:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.298
2023-01-18 00:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.196 s 0.412
2023-01-18 00:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.247
2023-01-18 00:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.606 s 0.134
2023-01-18 00:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.396 s 0.292
2023-01-18 00:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.254 s -2.968
2023-01-18 00:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s 0.032
2023-01-18 00:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.353 s 0.158
2023-01-18 00:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.469 s -2.176
2023-01-18 00:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.773 s 0.159
2023-01-18 00:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.166
2023-01-18 00:22 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.539 s 0.082
2023-01-18 00:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.427 s 0.096
2023-01-18 00:12 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.794 s -1.108
2023-01-18 00:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.293 s 0.324
2023-01-18 00:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.369
2023-01-18 00:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.395 s -3.233
2023-01-18 00:22 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.401 s -1.962
2023-01-18 00:24 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.471 s -0.355
2023-01-18 00:26 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.442 s -1.538
2023-01-18 00:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.338 s 0.324
2023-01-18 00:17 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.612 s 0.338
2023-01-18 00:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.282
2023-01-18 00:22 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.305 s 0.227
2023-01-18 00:23 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.370 s -0.096
2023-01-18 00:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s 0.032
2023-01-18 00:15 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.775 s 0.640
2023-01-18 00:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.306
2023-01-18 00:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.430 s 0.209
2023-01-18 00:19 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.150 s -0.118
2023-01-18 00:21 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.872 s 0.365
2023-01-18 00:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.219
2023-01-18 00:23 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.256 s 0.125
2023-01-18 00:23 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.926 s -0.536
2023-01-18 00:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.224
2023-01-18 00:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.334
2023-01-18 00:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.215
2023-01-18 00:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.665 s 0.122
2023-01-18 00:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.330
2023-01-18 00:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.306 s -0.323
2023-01-18 00:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.490 s -0.686
2023-01-18 00:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.218
2023-01-18 00:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.442 s 0.163
2023-01-18 00:19 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.971 s -0.621
2023-01-18 00:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.298 s -1.889
2023-01-18 00:20 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.337 s 0.196
2023-01-18 00:21 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.768 s -0.271
2023-01-18 00:22 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.329 s 0.240
2023-01-18 00:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.610 s -0.640
2023-01-18 00:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.867 s -0.240
2023-01-18 00:20 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.654 s 0.118
2023-01-18 00:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.262 s 0.206
2023-01-18 00:22 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.868 s 0.102
2023-01-18 00:24 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.682 s -1.536
2023-01-18 00:26 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.557 s -0.591
2023-01-18 00:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.268 s 0.252
2023-01-18 00:27 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.252
2023-01-18 00:27 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.443 s 0.029
2023-01-18 00:27 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.337 s 0.166
2023-01-18 00:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.350
2023-01-18 00:27 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.938 s 0.063
2023-01-18 00:27 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.611 s -1.226
2023-01-18 00:28 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.978 s -0.312
2023-01-18 00:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.323
2023-01-18 00:29 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.305
2023-01-18 00:29 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.589 s 0.147
2023-01-18 00:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.321
2023-01-18 00:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.287 s 0.240
2023-01-18 00:30 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.588 s -0.019
2023-01-18 00:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.337
2023-01-18 00:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.220 s 0.316
2023-01-18 00:29 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.623 s -0.135
2023-01-18 00:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.529 s 0.172
2023-01-18 00:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.239 s 0.262
2023-01-18 00:31 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.883 s 0.248
2023-01-18 00:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.285 s 0.265
2023-01-18 00:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.310
2023-01-18 00:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.352
2023-01-18 00:31 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.096 s 0.042
2023-01-18 00:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.269 s 0.240
2023-01-18 00:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.219 s 0.277
2023-01-18 00:32 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.247
2023-01-18 00:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.308
2023-01-18 00:32 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.286
2023-01-18 00:32 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.987 s -0.140
2023-01-18 00:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.351
2023-01-18 00:33 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.949 s -0.191
2023-01-18 00:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.269
2023-01-18 00:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.242 s 0.289
2023-01-18 00:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.330
2023-01-18 00:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.402 s 0.298
2023-01-18 00:34 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.545 s -0.083
2023-01-18 00:34 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.463 s -0.408
2023-01-18 00:35 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.273 s 0.117
2023-01-18 00:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.326 s 0.266
2023-01-18 00:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.271 s 0.287
2023-01-18 00:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s 0.463
2023-01-18 00:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.131
2023-01-18 00:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.886 s 0.212
2023-01-18 00:36 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.340 s -0.377
2023-01-18 00:36 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.635 s -0.331
2023-01-18 00:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.199
2023-01-18 00:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.322 s 0.093
2023-01-18 00:37 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.539 s -1.969
2023-01-18 00:38 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.968 s 0.075
2023-01-18 00:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.160
2023-01-18 00:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.374 s 0.090
2023-01-18 00:38 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.178
2023-01-18 00:38 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.291
2023-01-18 00:39 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.395 s 0.105
2023-01-18 00:39 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s -0.006
2023-01-18 00:39 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.792 s 0.160
2023-01-18 00:39 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.052 s 0.025
2023-01-18 00:40 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.877 s 0.004
2023-01-18 00:39 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.727 s 0.419
2023-01-18 00:40 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.160 s -0.671
2023-01-18 00:42 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.908 s -0.264
2023-01-18 00:44 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.969 s -0.991
2023-01-18 00:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.200
2023-01-18 00:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.205 s 0.197
2023-01-18 00:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.250 s -0.048
2023-01-18 00:45 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.261 s 0.236
2023-01-18 00:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.308 s 0.252
2023-01-18 00:45 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.455 s 0.080
2023-01-18 00:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.279
2023-01-18 00:46 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.345 s -0.318
2023-01-18 00:54 JavaScript vectorFromArray booleans 0.018 s 0.090
2023-01-18 00:54 JavaScript Iterate Vector uint8Array 0.002 s 0.017
2023-01-18 00:54 JavaScript Spread Vector int8Array 0.007 s -3.715
2023-01-18 00:54 JavaScript Iterate Vector string 0.125 s 0.411
2023-01-18 00:54 JavaScript Spread Vector string 0.146 s -0.315
2023-01-18 00:54 JavaScript toArray Vector uint64Array
2023-01-18 00:54 JavaScript vectorFromArray numbers 0.016 s 0.034
2023-01-18 00:54 JavaScript Spread Vector uint32Array 0.007 s -3.703
2023-01-18 00:54 JavaScript Spread Vector int64Array 0.012 s -0.402
2023-01-18 00:54 JavaScript toArray Vector float64Array
2023-01-18 00:54 JavaScript Iterate Vector uint64Array 0.004 s 0.538
2023-01-18 00:54 JavaScript Spread Vector uint8Array 0.007 s -3.086
2023-01-18 00:54 JavaScript Spread Vector uint16Array 0.007 s -2.820
2023-01-18 00:54 JavaScript Spread Vector numbers 0.008 s -2.388
2023-01-18 00:54 JavaScript Spread Vector uint64Array 0.012 s -0.852
2023-01-18 00:54 JavaScript Spread Vector int16Array 0.007 s -2.680
2023-01-18 00:54 JavaScript Spread Vector int32Array 0.007 s -2.793
2023-01-18 00:54 JavaScript Spread Vector float32Array 0.008 s -2.247
2023-01-18 00:54 JavaScript vectorFromArray dictionary 0.017 s -0.265
2023-01-18 00:54 JavaScript toArray Vector uint32Array
2023-01-18 00:54 JavaScript toArray Vector int8Array
2023-01-18 00:54 JavaScript Iterate Vector uint16Array 0.002 s 0.743
2023-01-18 00:54 JavaScript Iterate Vector int8Array 0.002 s 0.634
2023-01-18 00:54 JavaScript Iterate Vector numbers 0.002 s 0.628
2023-01-18 00:54 JavaScript Spread Vector float64Array 0.008 s -2.486
2023-01-18 00:54 JavaScript Iterate Vector float32Array 0.002 s 0.790
2023-01-18 00:54 JavaScript Iterate Vector float64Array 0.002 s 0.370
2023-01-18 00:54 JavaScript Iterate Vector dictionary 0.004 s 0.981
2023-01-18 00:54 JavaScript toArray Vector numbers
2023-01-18 00:54 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.581
2023-01-18 00:54 JavaScript Iterate Vector uint32Array 0.002 s 0.769
2023-01-18 00:54 JavaScript Iterate Vector int32Array 0.002 s 0.671
2023-01-18 00:54 JavaScript Iterate Vector int64Array 0.004 s 0.514
2023-01-18 00:54 JavaScript Iterate Vector booleans 0.004 s 0.679
2023-01-18 00:54 JavaScript toArray Vector uint16Array
2023-01-18 00:54 JavaScript Iterate Vector int16Array 0.002 s 0.373
2023-01-18 00:54 JavaScript toArray Vector int32Array
2023-01-18 00:54 JavaScript get Vector uint32Array 0.003 s -0.300
2023-01-18 00:54 JavaScript Spread Vector booleans 0.010 s -1.944
2023-01-18 00:54 JavaScript toArray Vector booleans 0.010 s -1.294
2023-01-18 00:54 JavaScript toArray Vector string 0.145 s 0.165
2023-01-18 00:54 JavaScript get Vector float32Array 0.002 s 1.276
2023-01-18 00:54 JavaScript get Vector numbers 0.002 s 0.068
2023-01-18 00:54 JavaScript Spread Vector dictionary 0.010 s -2.303
2023-01-18 00:54 JavaScript toArray Vector uint8Array
2023-01-18 00:54 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.166
2023-01-18 00:54 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.735
2023-01-18 00:54 JavaScript toArray Vector int16Array
2023-01-18 00:54 JavaScript toArray Vector int64Array
2023-01-18 00:54 JavaScript get Vector uint16Array 0.003 s -0.249
2023-01-18 00:54 JavaScript get Vector uint64Array 0.003 s -1.378
2023-01-18 00:54 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.559
2023-01-18 00:54 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.489
2023-01-18 00:54 JavaScript Table 1,000,000, tracks 0.255 s 0.889
2023-01-18 00:54 JavaScript get Vector int8Array 0.003 s -0.319
2023-01-18 00:54 JavaScript get Vector float64Array 0.002 s 0.723
2023-01-18 00:54 JavaScript get Vector booleans 0.002 s 0.764
2023-01-18 00:54 JavaScript toArray Vector float32Array
2023-01-18 00:54 JavaScript get Vector int16Array 0.003 s -0.342
2023-01-18 00:54 JavaScript get Vector int64Array 0.003 s -0.952
2023-01-18 00:54 JavaScript get Vector dictionary 0.002 s -0.508
2023-01-18 00:54 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.493
2023-01-18 00:54 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.511
2023-01-18 00:54 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.997
2023-01-18 00:54 JavaScript toArray Vector dictionary 0.010 s -3.211
2023-01-18 00:54 JavaScript get Vector uint8Array 0.003 s -0.470
2023-01-18 00:54 JavaScript get Vector string 0.124 s 0.791
2023-01-18 00:54 JavaScript Parse write recordBatches, tracks 0.002 s -0.839
2023-01-18 00:54 JavaScript get Vector int32Array 0.003 s -0.609
2023-01-18 00:54 JavaScript Parse read recordBatches, tracks 0.000 s -0.463
2023-01-18 00:54 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.378
2023-01-18 00:54 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-18 00:54 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 00:54 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.195 s -2.927
2023-01-18 00:54 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.483
2023-01-18 00:54 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.044
2023-01-18 00:54 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.530
2023-01-18 00:54 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.580
2023-01-18 00:54 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.417
2023-01-18 00:54 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.825
2023-01-18 00:54 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-18 00:54 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 00:54 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.186 s 1.289
2023-01-18 00:54 JavaScript Table tracks, 1,000,000 0.255 s 0.854
2023-01-18 00:54 JavaScript Table tracks, 1,000,000 0.097 s -2.126
2023-01-18 00:54 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.069
2023-01-18 00:54 JavaScript Table tracks, 1,000,000 0.050 s 1.145
2023-01-18 00:54 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.007