Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-14 22:41 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.236 s 0.945
2022-11-14 22:43 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.128 s 0.143
2022-11-14 22:42 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.001 s 1.676
2022-11-14 22:43 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.847 s 2.177
2022-11-14 22:44 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.655 s 1.907
2022-11-14 22:41 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.680 s 0.275
2022-11-14 22:43 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.419 s 1.166
2022-11-14 22:45 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.564 s 1.988
2022-11-14 22:47 Python dataframe-to-table type_integers 0.010 s -0.586
2022-11-14 22:47 Python dataframe-to-table type_floats 0.011 s -0.025
2022-11-14 22:47 Python dataset-filter nyctaxi_2010-01 1.011 s -0.228
2022-11-14 22:47 Python dataframe-to-table type_nested 2.870 s -0.879
2022-11-14 22:46 Python dataframe-to-table chi_traffic_2020_Q1 20.128 s 0.734
2022-11-14 22:47 Python dataframe-to-table type_strings 0.449 s -0.274
2022-11-14 22:47 Python dataframe-to-table type_dict 0.011 s 0.486
2022-11-14 23:06 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.189 s 0.448
2022-11-14 23:16 Python file-write lz4, feather, table, nyctaxi_2010-01 1.534 s 1.731
2022-11-14 23:06 Python dataset-read async=True, nyctaxi_multi_ipc_s3 221.028 s 0.336
2022-11-14 23:08 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.814 s -0.787
2022-11-14 23:09 Python file-read lz4, feather, table, nyctaxi_2010-01 0.680 s 1.663
2022-11-14 23:11 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.363 s 0.690
2022-11-14 23:06 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.207 s -0.204
2022-11-14 23:13 Python file-write uncompressed, feather, table, fanniemae_2016Q4 4.975 s 0.330
2022-11-14 23:25 R dataframe-to-table type_strings, R 0.537 s 0.854
2022-11-14 23:27 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.895 s -0.462
2022-11-14 23:27 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.900 s -0.548
2022-11-14 23:07 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.125 s 0.167
2022-11-14 23:10 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.048 s 0.624
2022-11-14 22:51 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 78.076 s 0.697
2022-11-14 23:08 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.375 s -0.507
2022-11-14 22:55 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.246 s 0.433
2022-11-14 23:07 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.312 s -0.225
2022-11-14 23:15 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.518 s 1.368
2022-11-14 23:26 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.571 s -0.814
2022-11-14 23:25 R dataframe-to-table type_integers, R 0.010 s 0.790
2022-11-14 23:27 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.545
2022-11-14 23:09 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.903 s 0.906
2022-11-14 23:14 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.595 s 1.161
2022-11-14 23:07 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.046 s 0.171
2022-11-14 23:07 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.647 s -1.036
2022-11-14 23:08 Python file-read lz4, feather, table, fanniemae_2016Q4 0.829 s -0.635
2022-11-14 23:09 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.398 s -1.325
2022-11-14 23:09 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.966 s -0.330
2022-11-14 23:09 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.926 s -0.537
2022-11-14 23:07 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.190 s 0.552
2022-11-14 23:12 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.053 s -0.105
2022-11-14 23:08 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.355 s -3.408
2022-11-14 23:16 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.837 s 0.095
2022-11-14 23:28 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.913 s -1.304
2022-11-14 23:06 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.212 s 0.133
2022-11-14 23:09 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.943 s -1.133
2022-11-14 23:11 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.710 s -0.008
2022-11-14 23:15 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.150 s 0.234
2022-11-14 23:24 R dataframe-to-table chi_traffic_2020_Q1, R 4.288 s 0.303
2022-11-14 23:07 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.677 s -0.042
2022-11-14 23:09 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.610 s -0.490
2022-11-14 23:27 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.591 s 0.661
2022-11-14 23:27 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.556 s -0.870
2022-11-14 23:07 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.060 s 0.050
2022-11-14 23:07 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.636 s -1.159
2022-11-14 23:16 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.972 s 0.227
2022-11-14 23:16 Python wide-dataframe use_legacy_dataset=false 0.509 s 0.684
2022-11-14 23:07 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.160 s -0.120
2022-11-14 23:08 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.500 s -0.183
2022-11-14 23:08 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.509 s -0.574
2022-11-14 23:16 Python wide-dataframe use_legacy_dataset=true 0.371 s 0.585
2022-11-14 23:09 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.959 s 0.005
2022-11-14 23:27 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.846 s 0.511
2022-11-14 23:14 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.880 s -0.388
2022-11-14 23:16 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.082 s 0.079
2022-11-14 23:25 R dataframe-to-table type_floats, R 0.013 s 0.611
2022-11-14 23:26 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.343 s -1.474
2022-11-14 23:28 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.820 s 0.273
2022-11-14 23:25 R dataframe-to-table type_dict, R 0.067 s -1.075
2022-11-14 23:27 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.552 s -0.984
2022-11-14 23:13 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.908 s -0.457
2022-11-14 23:26 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.341
2022-11-14 23:13 Python file-write lz4, feather, table, fanniemae_2016Q4 1.549 s 0.835
2022-11-14 23:28 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s -1.697
2022-11-14 23:29 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.510 s 0.580
2022-11-14 23:16 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.437 s -0.012
2022-11-14 23:25 R dataframe-to-table type_nested, R 0.571 s 1.061
2022-11-14 23:26 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.585 s -1.035
2022-11-14 23:28 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.594 s -3.109
2022-11-14 23:26 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.326 s -1.082
2022-11-14 23:31 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.101 s 0.687
2022-11-14 23:34 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.957 s -0.755
2022-11-14 23:32 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.930 s 0.579
2022-11-14 23:34 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.540 s 0.759
2022-11-14 23:36 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.909 s 0.810
2022-11-14 23:36 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 0.799
2022-11-14 23:37 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.369 s 0.829
2022-11-14 23:38 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.998 s 0.888
2022-11-14 23:39 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.955 s 0.580
2022-11-14 23:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.306 s 0.696
2022-11-14 23:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.344 s 1.048
2022-11-14 23:52 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.314 s 0.270
2022-11-14 23:45 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.566 s -0.576
2022-11-14 23:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s -0.239
2022-11-14 23:52 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s 1.133
2022-11-14 23:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.194 s -0.154
2022-11-14 23:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.233 s 1.413
2022-11-14 23:40 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.724 s 0.949
2022-11-14 23:45 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.243 s 0.955
2022-11-14 23:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.329 s 1.372
2022-11-14 23:50 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.921 s -0.808
2022-11-15 00:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.293 s 0.784
2022-11-14 23:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.635 s -0.871
2022-11-14 23:42 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.912 s 0.567
2022-11-14 23:50 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.501 s -0.294
2022-11-14 23:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.908 s -0.524
2022-11-14 23:47 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.774
2022-11-14 23:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.235 s 2.268
2022-11-14 23:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.319
2022-11-14 23:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s -0.554
2022-11-14 23:57 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.384 s 0.491
2022-11-15 00:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.326 s -0.226
2022-11-15 00:08 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.515 s -0.982
2022-11-14 23:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.001
2022-11-14 23:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.046
2022-11-14 23:43 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.315 s -0.902
2022-11-14 23:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.226 s 1.591
2022-11-14 23:53 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.629 s 0.392
2022-11-14 23:42 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.306 s 0.333
2022-11-14 23:47 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.009 s -0.507
2022-11-14 23:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 1.256
2022-11-14 23:52 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.176 s -0.401
2022-11-14 23:53 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s -0.150
2022-11-15 00:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s -0.699
2022-11-15 00:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.255 s 0.983
2022-11-14 23:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.544
2022-11-14 23:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.651 s 0.845
2022-11-14 23:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.298 s -0.066
2022-11-14 23:50 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.226 s 2.066
2022-11-14 23:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.417
2022-11-15 00:11 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.266
2022-11-15 00:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.491 s 0.519
2022-11-14 23:49 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.263 s 1.120
2022-11-14 23:49 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.422
2022-11-14 23:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.346 s 0.198
2022-11-15 00:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.468 s -0.308
2022-11-15 00:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.277 s 0.178
2022-11-15 00:12 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.315 s -0.008
2022-11-14 23:44 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 0.287
2022-11-14 23:52 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.254 s 1.606
2022-11-14 23:53 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.736 s -0.712
2022-11-14 23:45 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.216 s -0.861
2022-11-14 23:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.215
2022-11-14 23:57 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.707 s -0.172
2022-11-14 23:59 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.764 s -0.124
2022-11-14 23:46 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.578 s 0.413
2022-11-14 23:49 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.583 s -0.334
2022-11-14 23:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.771 s -0.074
2022-11-14 23:58 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.267 s 0.844
2022-11-14 23:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.291 s 1.001
2022-11-15 00:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.894 s 0.576
2022-11-14 23:47 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.724 s -0.486
2022-11-14 23:47 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.329 s -0.102
2022-11-14 23:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.429 s -0.557
2022-11-14 23:55 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.277 s -0.502
2022-11-14 23:55 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.283 s 0.112
2022-11-14 23:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.975
2022-11-15 00:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.252 s 0.268
2022-11-15 00:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.247 s 0.144
2022-11-15 00:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.233 s 0.108
2022-11-14 23:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s -0.330
2022-11-14 23:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.343 s -0.062
2022-11-14 23:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.268 s -0.623
2022-11-14 23:55 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.853
2022-11-15 00:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 0.647
2022-11-15 00:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.105
2022-11-15 00:09 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.577 s -0.015
2022-11-15 00:13 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.671 s 0.123
2022-11-14 23:45 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.553 s 0.373
2022-11-14 23:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.283 s 1.010
2022-11-14 23:59 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.366 s 0.231
2022-11-15 00:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.518 s -0.248
2022-11-15 00:10 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.591 s 0.686
2022-11-14 23:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.054 s -0.812
2022-11-14 23:50 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 1.323
2022-11-14 23:50 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.776
2022-11-14 23:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.215
2022-11-14 23:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 1.062
2022-11-14 23:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 1.167
2022-11-14 23:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.437 s 0.438
2022-11-15 00:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.327 s -0.041
2022-11-15 00:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s -0.047
2022-11-14 23:52 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.635 s -0.172
2022-11-14 23:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.333 s -0.578
2022-11-14 23:58 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.736 s -0.466
2022-11-14 23:58 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 0.916
2022-11-15 00:00 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.155 s -0.924
2022-11-15 00:00 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.331 s -0.236
2022-11-15 00:05 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.502
2022-11-15 00:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.742
2022-11-15 00:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 1.179
2022-11-14 23:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.504 s -0.356
2022-11-14 23:55 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.321
2022-11-14 23:55 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s -0.706
2022-11-14 23:57 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.419 s 0.123
2022-11-15 00:04 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.861 s -0.117
2022-11-15 00:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.275 s 1.820
2022-11-15 00:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.425 s 0.174
2022-11-14 23:58 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.606 s 0.582
2022-11-15 00:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.807
2022-11-15 00:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.532 s -3.248
2022-11-15 00:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.200 s 0.559
2022-11-15 00:05 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.409 s 0.318
2022-11-15 00:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.916 s -0.010
2022-11-15 00:10 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.581 s -0.417
2022-11-15 00:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.252 s 0.534
2022-11-15 00:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.433 s -0.706
2022-11-15 00:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.603 s 0.250
2022-11-15 00:00 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.956 s -0.778
2022-11-15 00:00 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.246 s 1.346
2022-11-15 00:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.224 s 1.553
2022-11-15 00:03 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.166 s -0.528
2022-11-15 00:03 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.353 s 0.277
2022-11-15 00:12 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.943 s 0.466
2022-11-15 00:02 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.204 s 1.460
2022-11-15 00:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.822 s -0.032
2022-11-15 00:15 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.219 s 0.197
2022-11-15 00:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.867 s -0.884
2022-11-15 00:02 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.745 s -0.632
2022-11-15 00:03 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.293 s 0.238
2022-11-15 00:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.945 s 0.043
2022-11-15 00:02 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.297 s 1.025
2022-11-15 00:07 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.203 s 0.365
2022-11-15 00:10 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.280 s 0.305
2022-11-15 00:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.518 s 1.755
2022-11-15 00:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.428 s -0.733
2022-11-15 00:17 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.634
2022-11-15 00:17 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.256 s 1.538
2022-11-15 00:18 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.458
2022-11-15 00:19 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.935 s -1.332
2022-11-15 00:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.262 s -2.579
2022-11-15 00:24 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.332
2022-11-15 00:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.220 s 0.809
2022-11-15 00:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.584 s 0.430
2022-11-15 00:03 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.868 s -0.462
2022-11-15 00:07 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.254 s -0.158
2022-11-15 00:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.693
2022-11-15 00:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.446 s -0.208
2022-11-15 00:34 JavaScript Spread Vector numbers 0.008 s 0.374
2022-11-15 00:05 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.208 s -0.761
2022-11-15 00:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.333 s -0.439
2022-11-15 00:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.216 s 0.311
2022-11-15 00:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.882 s 0.684
2022-11-15 00:14 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.532 s 0.671
2022-11-15 00:15 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.316 s -0.615
2022-11-15 00:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.871 s -2.684
2022-11-15 00:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.057 s -0.137
2022-11-15 00:19 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s -0.392
2022-11-15 00:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.724 s -1.678
2022-11-15 00:24 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.236 s 1.285
2022-11-15 00:17 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.054 s -0.046
2022-11-15 00:19 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.786 s -1.309
2022-11-15 00:34 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.332
2022-11-15 00:34 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.262
2022-11-15 00:34 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-15 00:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.214 s 0.386
2022-11-15 00:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.206
2022-11-15 00:34 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.337
2022-11-15 00:08 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.524
2022-11-15 00:10 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.474
2022-11-15 00:15 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.263 s -0.647
2022-11-15 00:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.547
2022-11-15 00:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.163 s -1.921
2022-11-15 00:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.202 s 1.446
2022-11-15 00:11 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.261 s 0.106
2022-11-15 00:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.496
2022-11-15 00:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.207 s -0.187
2022-11-15 00:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.410 s 0.149
2022-11-15 00:34 JavaScript Iterate Vector uint32Array 0.002 s 0.761
2022-11-15 00:13 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s -0.427
2022-11-15 00:34 JavaScript Iterate Vector uint16Array 0.002 s 0.144
2022-11-15 00:34 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-15 00:34 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.315
2022-11-15 00:34 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.798
2022-11-15 00:13 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.189 s 1.010
2022-11-15 00:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 1.044
2022-11-15 00:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.301 s 0.841
2022-11-15 00:34 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.161
2022-11-15 00:25 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.472
2022-11-15 00:34 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-15 00:16 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.311 s -1.249
2022-11-15 00:34 JavaScript Spread Vector uint8Array 0.007 s -0.674
2022-11-15 00:34 JavaScript Table tracks, 1,000,000 0.277 s -0.196
2022-11-15 00:17 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.317 s -0.318
2022-11-15 00:26 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.295 s 0.001
2022-11-15 00:34 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.392
2022-11-15 00:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.382 s -0.424
2022-11-15 00:24 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.105 s -1.659
2022-11-15 00:25 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.255 s 0.227
2022-11-15 00:34 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.145
2022-11-15 00:34 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.202
2022-11-15 00:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.936 s -2.253
2022-11-15 00:34 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.001 s -0.343
2022-11-15 00:34 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.372
2022-11-15 00:34 JavaScript Spread Vector uint16Array 0.006 s 0.098
2022-11-15 00:34 JavaScript toArray Vector uint16Array
2022-11-15 00:34 JavaScript toArray Vector booleans 0.010 s 0.310
2022-11-15 00:34 JavaScript toArray Vector string 0.145 s 0.253
2022-11-15 00:34 JavaScript get Vector uint16Array 0.003 s 0.325
2022-11-15 00:34 JavaScript get Vector uint64Array 0.003 s 0.790
2022-11-15 00:34 JavaScript vectorFromArray booleans 0.017 s 0.459
2022-11-15 00:34 JavaScript Iterate Vector uint8Array 0.002 s 1.644
2022-11-15 00:34 JavaScript Iterate Vector int8Array 0.002 s 1.195
2022-11-15 00:34 JavaScript Spread Vector float32Array 0.008 s 1.403
2022-11-15 00:34 JavaScript Iterate Vector int32Array 0.002 s 0.114
2022-11-15 00:34 JavaScript Iterate Vector float32Array 0.002 s 0.556
2022-11-15 00:34 JavaScript Iterate Vector numbers 0.002 s 0.483
2022-11-15 00:34 JavaScript vectorFromArray numbers 0.016 s 0.009
2022-11-15 00:34 JavaScript vectorFromArray dictionary 0.017 s -0.754
2022-11-15 00:34 JavaScript Iterate Vector uint64Array 0.004 s -0.760
2022-11-15 00:34 JavaScript Spread Vector int64Array 0.012 s 0.162
2022-11-15 00:34 JavaScript Spread Vector string 0.146 s -0.198
2022-11-15 00:34 JavaScript Iterate Vector int16Array 0.002 s 0.053
2022-11-15 00:34 JavaScript Iterate Vector int64Array 0.004 s 0.650
2022-11-15 00:34 JavaScript Iterate Vector float64Array 0.002 s 0.591
2022-11-15 00:34 JavaScript Iterate Vector string 0.126 s 0.020
2022-11-15 00:34 JavaScript Spread Vector uint64Array 0.012 s -0.351
2022-11-15 00:34 JavaScript Spread Vector int16Array 0.006 s 0.176
2022-11-15 00:34 JavaScript Iterate Vector booleans 0.004 s -2.866
2022-11-15 00:34 JavaScript Spread Vector float64Array 0.008 s 0.460
2022-11-15 00:34 JavaScript Iterate Vector dictionary 0.004 s 1.813
2022-11-15 00:34 JavaScript Spread Vector uint32Array 0.007 s 0.307
2022-11-15 00:34 JavaScript Spread Vector int8Array 0.006 s 0.393
2022-11-15 00:34 JavaScript toArray Vector int32Array
2022-11-15 00:34 JavaScript get Vector uint8Array 0.003 s 0.737
2022-11-15 00:34 JavaScript get Vector uint32Array 0.003 s 1.000
2022-11-15 00:34 JavaScript Table tracks, 1,000,000 0.094 s 0.976
2022-11-15 00:34 JavaScript Spread Vector int32Array 0.006 s 0.418
2022-11-15 00:34 JavaScript toArray Vector uint8Array
2022-11-15 00:34 JavaScript toArray Vector uint32Array
2022-11-15 00:34 JavaScript toArray Vector int8Array
2022-11-15 00:34 JavaScript toArray Vector float32Array
2022-11-15 00:34 JavaScript toArray Vector numbers
2022-11-15 00:34 JavaScript Spread Vector booleans 0.010 s 0.185
2022-11-15 00:34 JavaScript Spread Vector dictionary 0.010 s 0.322
2022-11-15 00:34 JavaScript toArray Vector uint64Array
2022-11-15 00:34 JavaScript toArray Vector int16Array
2022-11-15 00:34 JavaScript toArray Vector int64Array
2022-11-15 00:34 JavaScript toArray Vector float64Array
2022-11-15 00:34 JavaScript get Vector int16Array 0.003 s 0.737
2022-11-15 00:34 JavaScript get Vector int64Array 0.003 s 0.351
2022-11-15 00:34 JavaScript toArray Vector dictionary 0.010 s -0.139
2022-11-15 00:34 JavaScript get Vector int8Array 0.003 s 1.308
2022-11-15 00:34 JavaScript get Vector int32Array 0.003 s 0.756
2022-11-15 00:34 JavaScript get Vector float32Array 0.002 s 0.092
2022-11-15 00:34 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.477
2022-11-15 00:34 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.123
2022-11-15 00:34 JavaScript get Vector float64Array 0.002 s 0.104
2022-11-15 00:34 JavaScript get Vector booleans 0.002 s 0.338
2022-11-15 00:34 JavaScript get Vector string 0.126 s -0.693
2022-11-15 00:34 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.015
2022-11-15 00:34 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-15 00:34 JavaScript get Vector numbers 0.002 s 0.060
2022-11-15 00:34 JavaScript get Vector dictionary 0.002 s 0.958
2022-11-15 00:34 JavaScript Parse read recordBatches, tracks 0.000 s 1.257
2022-11-15 00:34 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.199
2022-11-15 00:34 JavaScript Parse write recordBatches, tracks 0.002 s 0.555
2022-11-15 00:34 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.109
2022-11-15 00:34 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -0.836
2022-11-15 00:34 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.962
2022-11-15 00:34 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.448
2022-11-15 00:34 JavaScript Table tracks, 1,000,000 0.050 s 0.022
2022-11-15 00:34 JavaScript Table 1,000,000, tracks 0.266 s 0.288