Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-10 23:02 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.682 s -0.836
2022-11-10 23:06 Python dataframe-to-table type_nested 2.812 s 0.789
2022-11-10 23:06 Python dataframe-to-table type_floats 0.010 s 0.582
2022-11-10 23:00 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.686 s -0.288
2022-11-10 23:06 Python dataset-filter nyctaxi_2010-01 1.008 s -0.163
2022-11-10 23:05 Python dataframe-to-table chi_traffic_2020_Q1 20.124 s 0.834
2022-11-10 23:06 Python dataframe-to-table type_strings 0.446 s 0.187
2022-11-10 23:14 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 80.820 s 0.572
2022-11-10 23:02 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.426 s -0.002
2022-11-10 23:04 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.149 s -0.465
2022-11-10 23:00 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.214 s 2.529
2022-11-10 23:02 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.134 s -0.487
2022-11-10 23:01 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.677 s -0.657
2022-11-10 23:06 Python dataframe-to-table type_dict 0.012 s -1.030
2022-11-10 23:03 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.159 s -0.235
2022-11-10 23:06 Python dataframe-to-table type_integers 0.010 s 0.320
2022-11-10 23:10 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 84.287 s -0.090
2022-11-10 23:25 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.597 s -1.789
2022-11-10 23:26 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.237 s -0.233
2022-11-10 23:26 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.185 s 0.086
2022-11-10 23:35 Python file-write lz4, feather, table, nyctaxi_2010-01 1.699 s 0.133
2022-11-10 23:35 Python wide-dataframe use_legacy_dataset=true 0.374 s 0.461
2022-11-10 23:26 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.683 s -0.129
2022-11-10 23:28 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.603 s -0.353
2022-11-10 23:30 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.204 s 1.671
2022-11-10 23:44 R dataframe-to-table type_strings, R 0.537 s 0.596
2022-11-10 23:27 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.648 s -1.862
2022-11-10 23:28 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.385 s -0.764
2022-11-10 23:33 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.582 s 1.877
2022-11-10 23:26 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.658 s -1.721
2022-11-10 23:34 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.514 s 1.805
2022-11-10 23:25 Python dataset-read async=True, nyctaxi_multi_ipc_s3 218.169 s 0.546
2022-11-10 23:28 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.924 s -0.544
2022-11-10 23:33 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.422 s 1.371
2022-11-10 23:34 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.038 s 1.891
2022-11-10 23:44 R dataframe-to-table type_floats, R 0.013 s 0.875
2022-11-10 23:26 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.045 s 0.178
2022-11-10 23:33 Python file-write lz4, feather, table, fanniemae_2016Q4 1.556 s 0.210
2022-11-10 23:45 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.338 s -1.269
2022-11-10 23:47 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.584 s -0.606
2022-11-10 23:28 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.977 s -1.142
2022-11-10 23:28 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.935 s 0.205
2022-11-10 23:26 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.314 s -0.284
2022-11-10 23:28 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.972 s -1.059
2022-11-10 23:45 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.589 s -1.103
2022-11-10 23:31 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.540 s 1.586
2022-11-10 23:32 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.350 s 1.669
2022-11-10 23:43 R dataframe-to-table chi_traffic_2020_Q1, R 4.302 s 0.033
2022-11-10 23:27 Python file-read lz4, feather, table, fanniemae_2016Q4 0.824 s 0.175
2022-11-10 23:29 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.015 s 0.982
2022-11-10 23:35 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 8.965 s 1.925
2022-11-10 23:45 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.338 s -1.244
2022-11-10 23:45 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.571
2022-11-10 23:26 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.167 s -0.957
2022-11-10 23:26 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.194 s -0.001
2022-11-10 23:35 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.944 s 1.851
2022-11-10 23:44 R dataframe-to-table type_nested, R 0.571 s 0.847
2022-11-10 23:27 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.327 s 0.176
2022-11-10 23:28 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.938 s -1.448
2022-11-10 23:28 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.362 s -0.175
2022-11-10 23:32 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.120 s -0.889
2022-11-10 23:26 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.118 s 0.379
2022-11-10 23:27 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.513 s -0.657
2022-11-10 23:35 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.735 s 1.850
2022-11-10 23:27 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.520 s -1.114
2022-11-10 23:26 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.048 s 0.167
2022-11-10 23:27 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.804 s -0.740
2022-11-10 23:28 Python file-read lz4, feather, table, nyctaxi_2010-01 0.687 s 0.056
2022-11-10 23:44 R dataframe-to-table type_integers, R 0.010 s 0.927
2022-11-10 23:45 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.581 s -0.945
2022-11-10 23:30 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.340 s 0.991
2022-11-10 23:35 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.376 s 0.944
2022-11-10 23:44 R dataframe-to-table type_dict, R 0.056 s 0.325
2022-11-10 23:46 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.841 s 1.211
2022-11-10 23:46 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.907 s -1.132
2022-11-10 23:47 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.911 s -1.064
2022-11-10 23:35 Python wide-dataframe use_legacy_dataset=false 0.541 s -1.509
2022-11-10 23:45 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.565 s 1.103
2022-11-10 23:46 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.903 s -1.107
2022-11-10 23:46 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.591 s 0.667
2022-11-10 23:47 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.827 s -1.966
2022-11-10 23:46 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.554 s -1.037
2022-11-10 23:46 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.555 s -0.747
2022-11-10 23:47 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 1.004
2022-11-10 23:48 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.492 s 0.845
2022-11-10 23:50 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.097 s 0.875
2022-11-10 23:51 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.921 s 0.792
2022-11-10 23:52 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.536 s 0.932
2022-11-10 23:53 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.947 s 1.228
2022-11-10 23:55 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.928 s 0.262
2022-11-10 23:55 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.491 s 0.321
2022-11-10 23:57 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.000 s 0.751
2022-11-10 23:56 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.365 s 0.626
2022-11-11 00:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.589 s -0.440
2022-11-11 00:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.522
2022-11-11 00:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.468
2022-11-11 00:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.261 s 2.606
2022-11-11 00:12 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.695 s -0.160
2022-11-11 00:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.654 s -0.474
2022-11-11 00:04 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.222 s -1.258
2022-11-11 00:06 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s 0.040
2022-11-11 00:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.331 s 0.640
2022-11-11 00:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.298 s 0.416
2022-11-11 00:09 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.544 s -0.844
2022-11-11 00:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.260 s 1.570
2022-11-11 00:02 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.314 s -0.787
2022-11-11 00:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.236 s -0.720
2022-11-11 00:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.484
2022-11-11 00:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s -0.034
2022-11-11 00:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.585 s -0.486
2022-11-11 00:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.192 s 1.709
2022-11-11 00:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.345 s 0.298
2022-11-11 00:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 1.361
2022-11-10 23:59 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.733 s 0.713
2022-11-11 00:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s -0.360
2022-11-11 00:12 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.625 s 2.235
2022-11-11 00:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.770 s 1.502
2022-11-11 00:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.225 s 1.837
2022-11-11 00:09 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.905 s 0.690
2022-11-11 00:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.682
2022-11-11 00:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s -0.622
2022-11-11 00:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.365 s 0.013
2022-11-11 00:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.622 s -0.646
2022-11-11 00:01 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.308 s -0.144
2022-11-11 00:03 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.465 s 0.506
2022-11-11 00:04 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.580 s -0.555
2022-11-11 00:04 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.246 s -0.097
2022-11-11 00:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 1.307
2022-11-11 00:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.544
2022-11-11 00:14 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.296 s -0.701
2022-11-11 00:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s 0.437
2022-11-11 00:11 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.174 s -0.111
2022-11-11 00:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.467 s -0.195
2022-11-11 00:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.249
2022-11-11 00:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.204 s 1.026
2022-11-11 00:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.426 s -0.664
2022-11-11 00:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.269 s -0.169
2022-11-11 00:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.759
2022-11-11 00:05 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.579 s 0.376
2022-11-11 00:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.194 s -0.206
2022-11-11 00:07 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.534
2022-11-11 00:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.229 s 0.320
2022-11-11 00:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s 0.101
2022-11-11 00:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.209
2022-11-11 00:41 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.755 s 1.357
2022-11-11 00:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.254 s 1.956
2022-11-11 00:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.311 s 1.496
2022-11-11 00:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s -0.214
2022-11-11 00:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.246 s 1.466
2022-11-11 00:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.750
2022-11-11 00:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.300 s -0.871
2022-11-11 00:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.309 s 0.026
2022-11-11 00:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.360
2022-11-11 00:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 1.374
2022-11-11 00:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 1.512
2022-11-11 00:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.895 s 0.463
2022-11-11 00:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.204 s 1.725
2022-11-11 00:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 1.629
2022-11-10 23:58 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.951 s 0.638
2022-11-11 00:17 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.603 s 1.532
2022-11-11 00:36 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.135 s -0.981
2022-11-11 00:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s -0.762
2022-11-11 00:04 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.546 s 1.161
2022-11-11 00:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.661 s 0.194
2022-11-11 00:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.405 s 0.305
2022-11-11 00:01 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.909 s 0.575
2022-11-11 00:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.056 s -0.950
2022-11-11 00:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.638 s -0.403
2022-11-11 00:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s -0.740
2022-11-11 00:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s -0.136
2022-11-11 00:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 1.750
2022-11-11 00:20 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.651 s -0.450
2022-11-11 00:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.294 s -0.214
2022-11-11 00:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.224 s -0.681
2022-11-11 00:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s -0.329
2022-11-11 00:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.500 s 0.233
2022-11-11 00:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.312 s -1.436
2022-11-11 00:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.938 s 0.831
2022-11-11 00:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.239 s -0.085
2022-11-11 00:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.323 s 1.226
2022-11-11 00:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s -0.329
2022-11-11 00:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.279 s 0.766
2022-11-11 00:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.913
2022-11-11 00:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.432 s 1.460
2022-11-11 00:06 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.704 s -0.155
2022-11-11 00:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.345 s -0.910
2022-11-11 00:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.429 s -0.598
2022-11-11 00:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.265 s 1.528
2022-11-11 00:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.289 s 1.860
2022-11-11 00:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.768 s -0.373
2022-11-11 00:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.321 s 0.048
2022-11-11 00:29 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.575 s -0.300
2022-11-11 00:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.894 s 1.049
2022-11-11 00:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.324 s 1.423
2022-11-11 00:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s -0.447
2022-11-11 00:19 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.109 s -0.214
2022-11-11 00:22 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.147 s -0.091
2022-11-11 00:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.200 s 0.421
2022-11-11 00:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.047 s 0.154
2022-11-11 00:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s -1.176
2022-11-11 00:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s -0.576
2022-11-11 00:17 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.756 s -0.693
2022-11-11 00:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s -0.098
2022-11-11 00:22 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.857 s 1.211
2022-11-11 00:24 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.180 s -0.231
2022-11-11 00:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.203 s 0.343
2022-11-11 00:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.316 s 3.259
2022-11-11 00:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.758
2022-11-11 00:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.236
2022-11-11 00:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.177 s 1.621
2022-11-11 00:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.587 s -0.244
2022-11-11 00:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.920 s -0.453
2022-11-11 00:27 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.853 s -2.141
2022-11-11 00:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.579 s -0.289
2022-11-11 00:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s -0.179
2022-11-11 00:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.975 s -1.028
2022-11-11 00:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.432 s -0.828
2022-11-11 00:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.091
2022-11-11 00:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.331 s 0.019
2022-11-11 00:15 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.762 s 1.344
2022-11-11 00:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s -0.642
2022-11-11 00:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.797
2022-11-11 00:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.214 s 1.289
2022-11-11 00:34 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.219 s 0.252
2022-11-11 00:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.265 s -0.984
2022-11-11 00:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.318 s -0.905
2022-11-11 00:39 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.868 s 1.148
2022-11-11 00:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.946 s 0.649
2022-11-11 00:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s -0.804
2022-11-11 00:23 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.864 s -0.580
2022-11-11 00:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.410 s -0.087
2022-11-11 00:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.685
2022-11-11 00:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 1.015
2022-11-11 00:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.189 s 1.087
2022-11-11 00:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.865 s -0.573
2022-11-11 00:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s 0.101
2022-11-11 00:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.249 s -0.693
2022-11-11 00:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.583
2022-11-11 00:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s -0.509
2022-11-11 00:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.601 s 0.828
2022-11-11 00:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.377 s 0.774
2022-11-11 00:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.525 s -1.425
2022-11-11 00:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.324 s -0.898
2022-11-11 00:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.423 s 0.630
2022-11-11 00:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 1.068
2022-11-11 00:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s -0.056
2022-11-11 00:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s -0.438
2022-11-11 00:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.262 s -0.624
2022-11-11 00:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.418 s 0.075
2022-11-11 00:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.483
2022-11-11 00:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.708 s 1.041
2022-11-11 00:21 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.800 s -1.229
2022-11-11 00:27 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.417 s 2.358
2022-11-11 00:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.601 s -0.396
2022-11-11 00:32 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.776 s -0.785
2022-11-11 00:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 1.152
2022-11-11 00:38 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.854 s 0.268
2022-11-11 00:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.324 s 1.083
2022-11-11 00:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.359 s -1.512
2022-11-11 00:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.281 s -1.489
2022-11-11 00:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s -0.447
2022-11-11 00:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.520 s 1.530
2022-11-11 00:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.317 s -0.660
2022-11-11 00:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.323 s 0.776
2022-11-11 00:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.285 s 0.774
2022-11-11 00:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.437 s 0.139
2022-11-11 00:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.819 s 0.641
2022-11-11 00:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 1.057
2022-11-11 00:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.876 s 1.816
2022-11-11 00:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.539 s -0.154
2022-11-11 00:39 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.095 s 1.163
2022-11-11 00:43 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.757 s 0.158
2022-11-11 00:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.449 s -1.412
2022-11-11 00:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s -0.223
2022-11-11 00:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.239 s -0.990
2022-11-11 00:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.212
2022-11-11 00:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.257 s -0.792
2022-11-11 00:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.020
2022-11-11 00:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.202
2022-11-11 00:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.311 s -0.531
2022-11-11 00:53 JavaScript vectorFromArray numbers 0.016 s -0.437
2022-11-11 00:53 JavaScript vectorFromArray booleans 0.018 s 0.085
2022-11-11 00:53 JavaScript Iterate Vector uint64Array 0.004 s 0.718
2022-11-11 00:53 JavaScript toArray Vector int64Array
2022-11-11 00:53 JavaScript Iterate Vector string 0.126 s 0.241
2022-11-11 00:53 JavaScript Spread Vector int8Array 0.006 s 0.114
2022-11-11 00:53 JavaScript Iterate Vector int32Array 0.002 s 0.624
2022-11-11 00:53 JavaScript Iterate Vector int64Array 0.004 s 0.544
2022-11-11 00:53 JavaScript Iterate Vector float32Array 0.002 s -0.217
2022-11-11 00:53 JavaScript Iterate Vector float64Array 0.002 s 0.766
2022-11-11 00:53 JavaScript toArray Vector booleans 0.010 s -1.035
2022-11-11 00:53 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -2.474
2022-11-11 00:53 JavaScript vectorFromArray dictionary 0.016 s 1.001
2022-11-11 00:53 JavaScript Iterate Vector uint8Array 0.002 s 2.648
2022-11-11 00:53 JavaScript Iterate Vector uint16Array 0.002 s -0.032
2022-11-11 00:53 JavaScript Iterate Vector uint32Array 0.002 s 0.465
2022-11-11 00:53 JavaScript Iterate Vector dictionary 0.004 s 1.324
2022-11-11 00:53 JavaScript toArray Vector float32Array
2022-11-11 00:53 JavaScript Iterate Vector int8Array 0.002 s 0.360
2022-11-11 00:53 JavaScript Iterate Vector int16Array 0.002 s 0.528
2022-11-11 00:53 JavaScript Iterate Vector booleans 0.004 s -0.829
2022-11-11 00:53 JavaScript Spread Vector uint32Array 0.007 s -0.054
2022-11-11 00:53 JavaScript Spread Vector uint64Array 0.012 s -0.248
2022-11-11 00:53 JavaScript toArray Vector uint8Array
2022-11-11 00:53 JavaScript Iterate Vector numbers 0.002 s 0.698
2022-11-11 00:53 JavaScript Spread Vector float64Array 0.008 s 0.692
2022-11-11 00:53 JavaScript Spread Vector numbers 0.008 s -0.015
2022-11-11 00:53 JavaScript Spread Vector booleans 0.010 s -0.977
2022-11-11 00:53 JavaScript Spread Vector dictionary 0.010 s -0.016
2022-11-11 00:53 JavaScript Spread Vector string 0.145 s 0.320
2022-11-11 00:53 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.564
2022-11-11 00:53 JavaScript Spread Vector uint8Array 0.006 s 0.182
2022-11-11 00:53 JavaScript Spread Vector uint16Array 0.006 s 0.107
2022-11-11 00:53 JavaScript Spread Vector float32Array 0.008 s -0.294
2022-11-11 00:53 JavaScript toArray Vector uint64Array
2022-11-11 00:53 JavaScript get Vector uint32Array 0.003 s -0.149
2022-11-11 00:53 JavaScript get Vector booleans 0.002 s 0.143
2022-11-11 00:53 JavaScript Spread Vector int16Array 0.006 s 0.651
2022-11-11 00:53 JavaScript Spread Vector int32Array 0.007 s -0.039
2022-11-11 00:53 JavaScript Spread Vector int64Array 0.012 s -0.256
2022-11-11 00:53 JavaScript toArray Vector int8Array
2022-11-11 00:53 JavaScript toArray Vector int16Array
2022-11-11 00:53 JavaScript toArray Vector int32Array
2022-11-11 00:53 JavaScript toArray Vector uint16Array
2022-11-11 00:53 JavaScript toArray Vector uint32Array
2022-11-11 00:53 JavaScript get Vector uint64Array 0.003 s 0.534
2022-11-11 00:53 JavaScript get Vector int8Array 0.003 s 0.612
2022-11-11 00:53 JavaScript get Vector int16Array 0.003 s 0.618
2022-11-11 00:53 JavaScript get Vector int32Array 0.003 s 0.856
2022-11-11 00:53 JavaScript toArray Vector float64Array
2022-11-11 00:53 JavaScript toArray Vector numbers
2022-11-11 00:53 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.763
2022-11-11 00:53 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.180
2022-11-11 00:53 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.222
2022-11-11 00:53 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.396
2022-11-11 00:53 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.154
2022-11-11 00:53 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-11 00:53 JavaScript toArray Vector dictionary 0.010 s 0.169
2022-11-11 00:53 JavaScript toArray Vector string 0.144 s 1.255
2022-11-11 00:53 JavaScript get Vector uint8Array 0.003 s 0.895
2022-11-11 00:53 JavaScript get Vector uint16Array 0.003 s 0.364
2022-11-11 00:53 JavaScript Parse write recordBatches, tracks 0.002 s -0.547
2022-11-11 00:53 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.073
2022-11-11 00:53 JavaScript get Vector int64Array 0.003 s 0.374
2022-11-11 00:53 JavaScript get Vector float32Array 0.002 s 0.140
2022-11-11 00:53 JavaScript get Vector float64Array 0.002 s 0.013
2022-11-11 00:53 JavaScript get Vector numbers 0.002 s 0.113
2022-11-11 00:53 JavaScript get Vector dictionary 0.002 s -1.724
2022-11-11 00:53 JavaScript get Vector string 0.124 s 0.155
2022-11-11 00:53 JavaScript Parse read recordBatches, tracks 0.000 s 0.717
2022-11-11 00:53 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.185 s 1.217
2022-11-11 00:53 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.676
2022-11-11 00:53 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.075
2022-11-11 00:53 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.279
2022-11-11 00:53 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.081
2022-11-11 00:53 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.815
2022-11-11 00:53 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 2.362
2022-11-11 00:53 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -1.823
2022-11-11 00:53 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-11 00:53 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-11 00:53 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-11 00:53 JavaScript Table tracks, 1,000,000 0.050 s 0.206
2022-11-11 00:53 JavaScript Table tracks, 1,000,000 0.252 s 1.010
2022-11-11 00:53 JavaScript Table 1,000,000, tracks 0.252 s 0.982
2022-11-11 00:53 JavaScript Table tracks, 1,000,000 0.096 s -0.943
2022-11-11 00:53 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.086
2022-11-11 00:53 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.011
2022-11-11 00:53 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.994