Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-24 06:09 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.606 s -1.156
2022-11-24 06:13 Python dataframe-to-table type_floats 0.010 s 0.712
2022-11-24 06:13 Python dataframe-to-table type_nested 2.921 s -0.828
2022-11-24 06:13 Python dataset-filter nyctaxi_2010-01 1.013 s -0.125
2022-11-24 06:10 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.427 s -0.415
2022-11-24 06:08 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.262 s -0.899
2022-11-24 06:21 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.466 s 0.467
2022-11-24 06:13 Python dataframe-to-table type_integers 0.010 s 0.271
2022-11-24 06:11 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.186 s -1.098
2022-11-24 06:07 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.679 s 0.092
2022-11-24 06:08 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.664 s -1.207
2022-11-24 06:13 Python dataframe-to-table type_strings 0.450 s -0.481
2022-11-24 06:17 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 71.714 s 1.150
2022-11-24 06:10 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.143 s -1.543
2022-11-24 06:10 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.235 s -1.019
2022-11-24 06:13 Python dataframe-to-table chi_traffic_2020_Q1 20.518 s -0.826
2022-11-24 06:13 Python dataframe-to-table type_dict 0.012 s -1.504
2022-11-24 06:33 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.666 s -0.007
2022-11-24 06:32 Python dataset-read async=True, nyctaxi_multi_ipc_s3 212.932 s 0.834
2022-11-24 06:34 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.984 s -0.961
2022-11-24 06:33 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.667 s -0.794
2022-11-24 06:52 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.585 s -0.510
2022-11-24 06:53 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.905 s -0.161
2022-11-24 06:33 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.175 s -1.393
2022-11-24 06:34 Python file-read lz4, feather, table, fanniemae_2016Q4 0.831 s -0.843
2022-11-24 06:40 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.856 s -0.525
2022-11-24 06:52 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.602 s 0.078
2022-11-24 07:15 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.584 s 0.236
2022-11-24 07:17 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.182 s -0.680
2022-11-24 06:41 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.051 s -0.278
2022-11-24 06:42 Python wide-dataframe use_legacy_dataset=false 0.518 s -0.253
2022-11-24 06:33 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.335 s -0.625
2022-11-24 06:57 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.918 s 0.129
2022-11-24 07:11 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.548 s 0.526
2022-11-24 07:26 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.106 s 1.142
2022-11-24 06:32 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.048 s 0.184
2022-11-24 06:34 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.938 s -0.883
2022-11-24 06:41 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.983 s -0.542
2022-11-24 06:53 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.550 s 0.146
2022-11-24 06:53 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.126
2022-11-24 06:54 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.131
2022-11-24 06:33 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.606 s -1.968
2022-11-24 06:32 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.301 s -0.102
2022-11-24 06:33 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.524 s -0.301
2022-11-24 06:34 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.637 s 1.234
2022-11-24 06:39 Python file-write lz4, feather, table, fanniemae_2016Q4 1.555 s 0.097
2022-11-24 07:03 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.411 s -0.325
2022-11-24 07:13 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.626
2022-11-24 07:14 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 0.559
2022-11-24 07:15 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.298 s -0.350
2022-11-24 06:33 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.205 s -0.336
2022-11-24 06:35 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.043 s 0.084
2022-11-24 07:16 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s -0.334
2022-11-24 07:18 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.262 s -0.403
2022-11-24 06:32 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.256 s 0.144
2022-11-24 06:35 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.552 s 1.285
2022-11-24 06:35 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.302 s 1.856
2022-11-24 06:52 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.587 s -0.173
2022-11-24 06:53 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.855 s 0.070
2022-11-24 06:54 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.911 s 0.054
2022-11-24 06:57 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.128 s -0.057
2022-11-24 06:32 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.055 s -0.638
2022-11-24 06:34 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.210 s 1.349
2022-11-24 06:32 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.189 s 0.144
2022-11-24 06:33 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.166 s -0.112
2022-11-24 06:37 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.368 s 0.112
2022-11-24 06:50 R dataframe-to-table type_strings, R 0.538 s 0.181
2022-11-24 06:38 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.979 s -0.406
2022-11-24 06:51 R dataframe-to-table type_nested, R 0.572 s 0.349
2022-11-24 07:11 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.246 s -0.020
2022-11-24 07:13 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.713 s 0.321
2022-11-24 07:14 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.344 s 0.218
2022-11-24 07:17 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.324 s 0.477
2022-11-24 07:27 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.649 s 0.275
2022-11-24 06:35 Python file-read lz4, feather, table, nyctaxi_2010-01 0.683 s 0.881
2022-11-24 06:42 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.828 s -0.138
2022-11-24 06:51 R dataframe-to-table type_dict, R 0.071 s -1.433
2022-11-24 06:51 R dataframe-to-table type_integers, R 0.010 s 0.447
2022-11-24 06:51 R dataframe-to-table type_floats, R 0.013 s 0.713
2022-11-24 07:12 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.588 s -0.340
2022-11-24 07:14 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.049 s 0.370
2022-11-24 06:33 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.650 s -0.693
2022-11-24 06:34 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.938 s -0.337
2022-11-24 07:02 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.490 s 0.398
2022-11-24 07:08 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.307 s 0.373
2022-11-24 07:14 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.429 s -0.226
2022-11-24 06:32 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.198 s 1.003
2022-11-24 06:42 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.236
2022-11-24 07:12 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.198 s -1.301
2022-11-24 07:12 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.270 s 0.775
2022-11-24 07:17 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 0.076
2022-11-24 07:19 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.609
2022-11-24 07:20 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.192
2022-11-24 06:34 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.964 s 0.379
2022-11-24 06:42 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.416 s 0.111
2022-11-24 06:51 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.326 s 0.288
2022-11-24 07:12 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.307
2022-11-24 07:13 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s 0.259
2022-11-24 07:21 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.331 s 0.518
2022-11-24 07:22 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.606 s 0.336
2022-11-24 06:34 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.916 s 0.405
2022-11-24 06:36 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.703 s -0.514
2022-11-24 06:38 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.056 s -0.242
2022-11-24 06:40 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.592 s 0.317
2022-11-24 06:42 Python file-write lz4, feather, table, nyctaxi_2010-01 1.725 s -0.373
2022-11-24 07:06 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.718 s 0.576
2022-11-24 07:11 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.563 s 0.212
2022-11-24 07:13 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.005 s 0.318
2022-11-24 07:24 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.292 s -0.319
2022-11-24 07:26 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.246 s 1.032
2022-11-24 06:39 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.864 s -0.524
2022-11-24 06:40 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.123 s -0.118
2022-11-24 06:41 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.511 s 0.705
2022-11-24 06:53 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.903 s -0.153
2022-11-24 06:54 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.822 s 0.093
2022-11-24 07:01 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.937 s 0.166
2022-11-24 07:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.603 s 1.227
2022-11-24 07:27 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.891 s 1.488
2022-11-24 06:52 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s 0.081
2022-11-24 07:09 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.325 s -0.782
2022-11-24 07:13 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.285 s -0.383
2022-11-24 07:14 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.331 s 0.563
2022-11-24 07:15 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.212
2022-11-24 07:16 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.194 s -1.094
2022-11-24 07:17 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.264 s 0.067
2022-11-24 07:21 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.283 s -0.025
2022-11-24 07:26 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 0.449
2022-11-24 07:29 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.248 s 0.711
2022-11-24 06:52 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.125
2022-11-24 06:53 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.555 s 0.035
2022-11-24 06:59 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.563 s 0.132
2022-11-24 07:12 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s 0.181
2022-11-24 07:15 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s 0.036
2022-11-24 07:19 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.617
2022-11-24 07:23 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s -0.005
2022-11-24 06:50 R dataframe-to-table chi_traffic_2020_Q1, R 4.339 s -1.005
2022-11-24 07:18 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.386
2022-11-24 07:20 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s -0.255
2022-11-24 06:52 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.327 s -0.148
2022-11-24 07:04 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.989 s 0.522
2022-11-24 07:10 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.469 s -0.042
2022-11-24 07:14 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.264 s 0.528
2022-11-24 07:18 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.347 s -0.048
2022-11-24 07:18 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.637 s -0.029
2022-11-24 07:24 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s -0.277
2022-11-24 06:55 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.498 s 0.145
2022-11-24 07:16 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.529 s -0.315
2022-11-24 07:28 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.258 s -1.458
2022-11-24 07:28 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s -3.997
2022-11-24 07:00 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.952 s 0.618
2022-11-24 07:21 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.238
2022-11-24 07:24 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s -0.242
2022-11-24 07:26 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s -0.203
2022-11-24 07:11 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.232 s -1.025
2022-11-24 07:11 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.580 s 0.234
2022-11-24 07:18 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.313 s -0.336
2022-11-24 07:05 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.951 s 0.152
2022-11-24 07:11 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.196 s -0.638
2022-11-24 07:20 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.346 s 0.582
2022-11-24 07:23 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 0.342
2022-11-24 07:07 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.908 s 0.183
2022-11-24 07:14 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.314
2022-11-24 07:16 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.910 s 0.595
2022-11-24 07:23 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.331 s -0.015
2022-11-24 07:25 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.436 s -0.481
2022-11-24 07:16 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.228 s 0.006
2022-11-24 07:16 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.340
2022-11-24 07:21 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.285 s -0.061
2022-11-24 07:21 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s -0.652
2022-11-24 07:21 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s 0.038
2022-11-24 07:23 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.384 s 0.848
2022-11-24 07:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.753 s -0.282
2022-11-24 07:24 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s -0.054
2022-11-24 07:26 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.293 s 0.914
2022-11-24 07:26 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s -0.292
2022-11-24 07:17 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.890 s 1.512
2022-11-24 07:19 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.625 s 1.417
2022-11-24 07:22 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.765 s 0.871
2022-11-24 07:22 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s -0.150
2022-11-24 07:29 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.202 s -0.263
2022-11-24 07:19 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.663 s 1.261
2022-11-24 07:20 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s 0.401
2022-11-24 07:29 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.164 s -0.434
2022-11-24 07:19 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.368
2022-11-24 07:25 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.942 s 1.343
2022-11-24 07:28 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.206 s -0.871
2022-11-24 07:21 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.749
2022-11-24 07:23 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.710 s -0.146
2022-11-24 07:25 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s -0.919
2022-11-24 07:27 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.733 s 0.197
2022-11-24 07:28 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.226 s -0.764
2022-11-24 07:28 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s -0.774
2022-11-24 07:28 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.527 s -0.169
2022-11-24 07:28 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.866 s -0.877
2022-11-24 07:29 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.296 s -0.311
2022-11-24 07:29 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.356 s 0.165
2022-11-24 07:29 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.469 s -0.255
2022-11-24 07:32 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.286 s 0.295
2022-11-24 07:30 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.873 s -1.214
2022-11-24 07:30 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.527 s -0.864
2022-11-24 07:31 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.176 s 0.250
2022-11-24 07:31 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.265
2022-11-24 07:31 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s 0.268
2022-11-24 07:31 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.326 s -0.994
2022-11-24 07:32 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.824 s -0.289
2022-11-24 07:31 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.410 s 0.218
2022-11-24 07:31 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.586 s -0.562
2022-11-24 07:32 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.305 s 1.144
2022-11-24 07:33 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.425 s 0.067
2022-11-24 07:32 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.003
2022-11-24 07:33 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.254 s 1.044
2022-11-24 07:33 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s -0.510
2022-11-24 07:33 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s 0.971
2022-11-24 07:33 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.914 s 0.489
2022-11-24 07:34 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.506 s -0.553
2022-11-24 07:34 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s -0.051
2022-11-24 07:34 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.204 s -0.601
2022-11-24 07:35 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.116
2022-11-24 07:34 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.202 s -0.730
2022-11-24 07:35 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.248
2022-11-24 07:36 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.319 s 0.988
2022-11-24 07:34 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.767 s 0.029
2022-11-24 07:36 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.566 s 1.191
2022-11-24 07:35 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.601 s -0.049
2022-11-24 07:35 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.583 s -0.846
2022-11-24 07:36 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.328
2022-11-24 07:36 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s 0.281
2022-11-24 07:36 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.216 s 0.496
2022-11-24 07:36 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.520 s 0.610
2022-11-24 07:36 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.190 s 0.303
2022-11-24 07:37 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.883 s 0.188
2022-11-24 07:37 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.056 s -0.127
2022-11-24 07:38 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.316 s 0.097
2022-11-24 07:38 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.955 s 0.055
2022-11-24 07:37 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s -0.246
2022-11-24 07:37 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.019
2022-11-24 07:37 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.216 s -0.940
2022-11-24 07:39 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.085
2022-11-24 07:39 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.840 s -1.109
2022-11-24 07:38 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.254 s -0.022
2022-11-24 07:39 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.402 s 0.811
2022-11-24 07:40 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.532 s 0.703
2022-11-24 07:44 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.959 s -0.865
2022-11-24 07:39 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s -0.106
2022-11-24 07:38 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.662 s -1.121
2022-11-24 07:39 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s -0.452
2022-11-24 07:39 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.095
2022-11-24 07:40 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.497 s -0.108
2022-11-24 07:41 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -1.331
2022-11-24 07:41 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.264 s -0.645
2022-11-24 07:41 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s -0.671
2022-11-24 07:41 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.866 s -0.635
2022-11-24 07:42 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.430 s -1.565
2022-11-24 07:43 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s -0.701
2022-11-24 07:41 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.319 s -0.573
2022-11-24 07:43 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.369 s -0.517
2022-11-24 07:41 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.223 s 0.115
2022-11-24 07:42 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.306 s -0.264
2022-11-24 07:43 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s -0.336
2022-11-24 07:43 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.065 s 0.409
2022-11-24 07:45 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s 0.179
2022-11-24 07:44 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s -0.478
2022-11-24 07:43 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.222
2022-11-24 07:44 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.601 s 0.417
2022-11-24 07:45 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.718 s -0.451
2022-11-24 07:45 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.781 s -0.100
2022-11-24 07:46 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.904 s -0.065
2022-11-24 07:45 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.384 s -1.211
2022-11-24 07:45 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.897 s 0.027
2022-11-24 07:46 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.108 s 0.911
2022-11-24 07:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.131 s -0.567
2022-11-24 07:50 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.656 s 0.619
2022-11-24 07:50 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.273
2022-11-24 07:51 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.257 s -1.372
2022-11-24 07:51 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.513
2022-11-24 07:50 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.239 s -0.676
2022-11-24 08:00 JavaScript get Vector int16Array 0.003 s -0.002
2022-11-24 08:00 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.606
2022-11-24 07:50 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.299
2022-11-24 07:51 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.539
2022-11-24 07:51 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.446 s 0.375
2022-11-24 07:51 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.304 s -0.001
2022-11-24 08:00 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.491
2022-11-24 08:00 JavaScript toArray Vector uint8Array
2022-11-24 08:00 JavaScript vectorFromArray numbers 0.016 s 0.136
2022-11-24 08:00 JavaScript vectorFromArray dictionary 0.018 s -3.004
2022-11-24 08:00 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-24 08:00 JavaScript Spread Vector uint64Array 0.012 s -0.692
2022-11-24 08:00 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.697
2022-11-24 08:00 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.676
2022-11-24 08:00 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.514
2022-11-24 08:00 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.066
2022-11-24 08:00 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.779
2022-11-24 08:00 JavaScript Spread Vector numbers 0.008 s 0.235
2022-11-24 08:00 JavaScript Spread Vector dictionary 0.010 s 0.044
2022-11-24 08:00 JavaScript toArray Vector uint32Array
2022-11-24 08:00 JavaScript toArray Vector int32Array
2022-11-24 08:00 JavaScript Iterate Vector numbers 0.002 s 0.853
2022-11-24 08:00 JavaScript Iterate Vector dictionary 0.004 s -0.773
2022-11-24 08:00 JavaScript Spread Vector uint32Array 0.006 s 0.254
2022-11-24 08:00 JavaScript Spread Vector int8Array 0.006 s 0.285
2022-11-24 08:00 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -1.547
2022-11-24 08:00 JavaScript vectorFromArray booleans 0.018 s 0.076
2022-11-24 08:00 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.489
2022-11-24 08:00 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-24 08:00 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.101
2022-11-24 08:00 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-24 08:00 JavaScript Table tracks, 1,000,000 0.096 s -1.190
2022-11-24 08:00 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -1.179
2022-11-24 08:00 JavaScript Iterate Vector uint8Array 0.002 s -0.171
2022-11-24 08:00 JavaScript Iterate Vector uint32Array 0.002 s -0.197
2022-11-24 08:00 JavaScript Iterate Vector int8Array 0.002 s 0.231
2022-11-24 08:00 JavaScript Iterate Vector int32Array 0.002 s 0.636
2022-11-24 08:00 JavaScript Iterate Vector float32Array 0.002 s 0.894
2022-11-24 08:00 JavaScript Iterate Vector uint16Array 0.002 s -0.299
2022-11-24 08:00 JavaScript Iterate Vector uint64Array 0.004 s 0.082
2022-11-24 08:00 JavaScript Iterate Vector int64Array 0.004 s -0.274
2022-11-24 08:00 JavaScript Iterate Vector booleans 0.004 s 0.806
2022-11-24 08:00 JavaScript Iterate Vector string 0.129 s -1.352
2022-11-24 08:00 JavaScript Spread Vector uint16Array 0.006 s 0.232
2022-11-24 08:00 JavaScript Iterate Vector int16Array 0.002 s 0.544
2022-11-24 08:00 JavaScript Iterate Vector float64Array 0.002 s 0.911
2022-11-24 08:00 JavaScript toArray Vector uint64Array
2022-11-24 08:00 JavaScript toArray Vector int64Array
2022-11-24 08:00 JavaScript Spread Vector uint8Array 0.006 s 0.339
2022-11-24 08:00 JavaScript get Vector int32Array 0.003 s 0.384
2022-11-24 08:00 JavaScript get Vector float32Array 0.002 s 0.387
2022-11-24 08:00 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.193 s -1.332
2022-11-24 08:00 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.175
2022-11-24 08:00 JavaScript Table tracks, 1,000,000 0.050 s 0.120
2022-11-24 08:00 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.587
2022-11-24 08:00 JavaScript Spread Vector int16Array 0.007 s 0.106
2022-11-24 08:00 JavaScript Spread Vector int64Array 0.012 s -0.919
2022-11-24 08:00 JavaScript Spread Vector float64Array 0.008 s 0.178
2022-11-24 08:00 JavaScript Spread Vector booleans 0.010 s -2.277
2022-11-24 08:00 JavaScript Spread Vector string 0.148 s -0.823
2022-11-24 08:00 JavaScript toArray Vector uint16Array
2022-11-24 08:00 JavaScript toArray Vector int16Array
2022-11-24 08:00 JavaScript Spread Vector int32Array 0.006 s 0.250
2022-11-24 08:00 JavaScript Spread Vector float32Array 0.008 s 0.324
2022-11-24 08:00 JavaScript toArray Vector int8Array
2022-11-24 08:00 JavaScript toArray Vector float32Array
2022-11-24 08:00 JavaScript toArray Vector numbers
2022-11-24 08:00 JavaScript toArray Vector dictionary 0.010 s -0.021
2022-11-24 08:00 JavaScript get Vector uint8Array 0.003 s -0.678
2022-11-24 08:00 JavaScript toArray Vector float64Array
2022-11-24 08:00 JavaScript toArray Vector booleans 0.010 s -0.149
2022-11-24 08:00 JavaScript toArray Vector string 0.148 s -1.413
2022-11-24 08:00 JavaScript get Vector uint16Array 0.003 s -0.191
2022-11-24 08:00 JavaScript get Vector uint64Array 0.003 s 0.180
2022-11-24 08:00 JavaScript get Vector float64Array 0.002 s
2022-11-24 08:00 JavaScript Table tracks, 1,000,000 0.297 s -0.965
2022-11-24 08:00 JavaScript get Vector uint32Array 0.003 s -0.901
2022-11-24 08:00 JavaScript get Vector int8Array 0.003 s 0.347
2022-11-24 08:00 JavaScript get Vector numbers 0.002 s -1.337
2022-11-24 08:00 JavaScript get Vector dictionary 0.002 s -2.790
2022-11-24 08:00 JavaScript Parse read recordBatches, tracks 0.000 s 1.069
2022-11-24 08:00 JavaScript Table 1,000,000, tracks 0.312 s -1.733
2022-11-24 08:00 JavaScript get Vector int64Array 0.003 s 0.107
2022-11-24 08:00 JavaScript get Vector string 0.129 s -2.151
2022-11-24 08:00 JavaScript Parse write recordBatches, tracks 0.002 s -0.039
2022-11-24 08:00 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.818
2022-11-24 08:00 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.737
2022-11-24 08:00 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.510
2022-11-24 08:00 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-24 08:00 JavaScript get Vector booleans 0.002 s 0.347
2022-11-24 08:00 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.738
2022-11-24 08:00 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.133