Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-09 18:56 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.109 s 0.685
2022-11-09 18:56 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.474 s 0.076
2022-11-09 18:56 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.330 s -0.111
2022-11-09 18:57 Python file-read lz4, feather, table, fanniemae_2016Q4 0.821 s 0.462
2022-11-09 19:13 R dataframe-to-table chi_traffic_2020_Q1, R 4.294 s 0.162
2022-11-09 19:14 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.545 s 0.111
2022-11-09 19:17 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.909 s -0.959
2022-11-09 18:32 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.432 s -1.191
2022-11-09 19:02 Python file-write lz4, feather, table, fanniemae_2016Q4 1.530 s 2.725
2022-11-09 19:05 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.747 s 2.013
2022-11-09 18:30 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.282 s -2.541
2022-11-09 18:30 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.684 s 0.101
2022-11-09 18:35 Python dataframe-to-table chi_traffic_2020_Q1 20.017 s 1.675
2022-11-09 18:32 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.619 s -0.511
2022-11-09 18:32 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.124 s 0.584
2022-11-09 19:00 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.331 s 1.290
2022-11-09 19:04 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.967 s 0.458
2022-11-09 19:15 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.875 s -4.224
2022-11-09 18:33 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.315 s -0.927
2022-11-09 18:31 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.613 s -0.373
2022-11-09 18:35 Python dataframe-to-table type_strings 0.444 s 0.428
2022-11-09 18:35 Python dataframe-to-table type_dict 0.012 s -0.566
2022-11-09 18:35 Python dataframe-to-table type_integers 0.010 s 1.730
2022-11-09 18:35 Python dataframe-to-table type_floats 0.011 s -0.126
2022-11-09 18:36 Python dataframe-to-table type_nested 2.817 s 0.830
2022-11-09 18:36 Python dataset-filter nyctaxi_2010-01 0.989 s 0.402
2022-11-09 18:58 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.604 s -0.593
2022-11-09 19:04 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.561 s 0.576
2022-11-09 19:15 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.533
2022-11-09 19:16 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.822 s -0.517
2022-11-09 18:34 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.184 s -0.612
2022-11-09 19:14 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.294 s 0.027
2022-11-09 18:55 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.059 s 0.100
2022-11-09 18:59 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.197 s 2.397
2022-11-09 19:14 R dataframe-to-table type_nested, R 0.572 s 0.748
2022-11-09 18:55 Python dataset-read async=True, nyctaxi_multi_ipc_s3 217.762 s 0.588
2022-11-09 18:58 Python file-read lz4, feather, table, nyctaxi_2010-01 0.685 s 0.675
2022-11-09 19:05 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.353 s 1.415
2022-11-09 19:14 R dataframe-to-table type_integers, R 0.010 s 1.262
2022-11-09 19:15 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.311 s 1.170
2022-11-09 19:19 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.012 s 1.590
2022-11-09 19:27 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.047 s 0.230
2022-11-09 18:58 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.361 s -0.302
2022-11-09 19:13 R dataframe-to-table type_dict, R 0.058 s 0.031
2022-11-09 19:15 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.548 s -0.096
2022-11-09 19:18 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.474 s 1.191
2022-11-09 18:40 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 76.582 s 0.830
2022-11-09 18:44 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.729 s 0.254
2022-11-09 18:56 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.593 s -0.548
2022-11-09 19:03 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.377 s 1.959
2022-11-09 19:05 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.255
2022-11-09 19:15 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.617 s -3.602
2022-11-09 18:55 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.192 s -0.052
2022-11-09 19:05 Python wide-dataframe use_legacy_dataset=false 0.515 s 0.322
2022-11-09 18:58 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.943 s -1.086
2022-11-09 19:01 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.060 s -0.410
2022-11-09 19:02 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.361 s 2.017
2022-11-09 19:16 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.891 s -0.153
2022-11-09 18:56 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.643 s 0.400
2022-11-09 18:56 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.478 s -0.048
2022-11-09 18:58 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 9.989 s 1.393
2022-11-09 19:16 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.536 s 0.325
2022-11-09 18:57 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.805 s -0.944
2022-11-09 19:17 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.584 s -0.605
2022-11-09 18:55 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.201 s 0.225
2022-11-09 18:57 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.935 s -1.456
2022-11-09 19:03 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.096 s 1.652
2022-11-09 19:15 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.297 s -0.178
2022-11-09 19:16 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s -0.652
2022-11-09 19:14 R dataframe-to-table type_floats, R 0.013 s 0.990
2022-11-09 19:16 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.884 s 0.112
2022-11-09 19:20 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.881 s 1.268
2022-11-09 18:55 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.279 s -0.015
2022-11-09 18:55 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.287 s 0.131
2022-11-09 18:57 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.935 s 1.534
2022-11-09 18:57 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.890 s 1.435
2022-11-09 19:05 Python file-write lz4, feather, table, nyctaxi_2010-01 1.758 s -0.492
2022-11-09 18:55 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.042 s 0.221
2022-11-09 18:56 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.148 s 0.887
2022-11-09 19:03 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.640 s 0.362
2022-11-09 18:56 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.188 s 0.484
2022-11-09 18:57 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.378 s -0.882
2022-11-09 19:04 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.020 s 1.678
2022-11-09 18:56 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.608 s -0.475
2022-11-09 18:57 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.947 s 0.450
2022-11-09 19:01 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.546 s 2.227
2022-11-09 19:13 R dataframe-to-table type_strings, R 0.537 s 0.627
2022-11-09 19:16 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.540 s 0.345
2022-11-09 19:22 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.489 s 1.434
2022-11-09 19:23 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.961 s -1.196
2022-11-09 19:24 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.951 s -0.055
2022-11-09 19:25 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.487 s 0.723
2022-11-09 19:26 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.349 s 0.975
2022-11-09 19:36 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.716 s -0.388
2022-11-09 19:34 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.196 s -0.261
2022-11-09 19:45 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.324 s 0.471
2022-11-09 19:34 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.212 s -0.880
2022-11-09 19:34 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.552 s 0.544
2022-11-09 19:48 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.433 s 0.670
2022-11-09 19:49 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s -0.191
2022-11-09 19:28 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 6.018 s 0.045
2022-11-09 19:35 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.205
2022-11-09 19:36 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.366
2022-11-09 19:37 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.656 s 0.184
2022-11-09 19:40 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.255 s 0.563
2022-11-09 19:41 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.260 s 0.579
2022-11-09 19:42 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.320
2022-11-09 19:44 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.280 s 0.396
2022-11-09 19:44 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.281 s 0.406
2022-11-09 19:37 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.332 s 0.357
2022-11-09 19:43 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s 0.216
2022-11-09 19:49 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 0.500
2022-11-09 19:50 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.754 s -0.851
2022-11-09 19:34 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.243 s 0.584
2022-11-09 19:42 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.134
2022-11-09 19:45 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.623 s -0.815
2022-11-09 19:37 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s 0.189
2022-11-09 19:39 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.238 s 0.311
2022-11-09 19:41 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.247
2022-11-09 19:35 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.328
2022-11-09 19:35 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.035
2022-11-09 19:38 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.300 s 0.118
2022-11-09 19:44 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.656 s -0.276
2022-11-09 19:30 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.977 s 0.052
2022-11-09 19:31 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.304 s 0.933
2022-11-09 19:33 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 0.119
2022-11-09 19:36 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.331 s 0.046
2022-11-09 19:37 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s -0.084
2022-11-09 19:38 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.587 s -0.432
2022-11-09 19:36 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.345 s 0.076
2022-11-09 19:40 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.309 s 0.274
2022-11-09 19:41 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s -0.142
2022-11-09 19:47 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.318 s 0.273
2022-11-09 19:47 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.367 s 0.218
2022-11-09 19:39 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.230 s 0.205
2022-11-09 19:43 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.508 s -0.743
2022-11-09 19:49 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.150 s -0.849
2022-11-09 19:49 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s 0.123
2022-11-09 19:38 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.926 s -0.539
2022-11-09 19:42 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s 0.235
2022-11-09 19:44 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.442
2022-11-09 19:46 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.468
2022-11-09 19:49 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.248 s 0.406
2022-11-09 19:32 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.304 s -0.377
2022-11-09 19:37 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.422
2022-11-09 19:38 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.067
2022-11-09 19:34 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.593 s -0.092
2022-11-09 19:39 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.194 s 0.407
2022-11-09 19:41 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.310 s 0.666
2022-11-09 19:46 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.362 s 0.416
2022-11-09 19:35 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s -0.278
2022-11-09 19:36 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.383
2022-11-09 19:39 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s 0.505
2022-11-09 19:42 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.627 s 0.577
2022-11-09 19:34 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.550 s -0.040
2022-11-09 19:37 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 0.462
2022-11-09 19:39 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.264 s 0.500
2022-11-09 19:43 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.356
2022-11-09 19:45 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.773 s 0.209
2022-11-09 19:29 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.796 s 0.128
2022-11-09 19:42 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s 0.047
2022-11-09 19:44 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s 0.004
2022-11-09 19:45 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.386 s 0.184
2022-11-09 19:36 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.009 s -0.083
2022-11-09 19:40 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.912 s -0.338
2022-11-09 19:46 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.611 s 0.230
2022-11-09 19:35 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s -0.291
2022-11-09 19:40 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.322 s 0.844
2022-11-09 19:42 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.655 s 0.205
2022-11-09 19:48 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.768 s -0.061
2022-11-09 19:50 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.899 s 0.294
2022-11-09 19:37 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.063 s -1.136
2022-11-09 19:46 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s 0.170
2022-11-09 19:39 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.517 s -0.645
2022-11-09 19:40 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.162 s 0.583
2022-11-09 19:43 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.294 s -0.843
2022-11-09 19:44 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.333 s 0.064
2022-11-09 19:46 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.709 s -0.020
2022-11-09 19:47 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.736 s -0.561
2022-11-09 19:49 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.295 s 0.197
2022-11-09 19:47 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.266 s 0.526
2022-11-09 19:47 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.290 s 0.527
2022-11-09 19:48 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.941 s 0.884
2022-11-09 19:51 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s 0.093
2022-11-09 19:49 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.479
2022-11-09 19:50 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.204 s 0.551
2022-11-09 19:51 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.300 s 0.096
2022-11-09 19:51 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 0.613
2022-11-09 19:51 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.320 s 1.225
2022-11-09 19:52 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.465 s 0.391
2022-11-09 19:51 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.524 s 0.384
2022-11-09 19:51 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.857 s 1.257
2022-11-09 19:52 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.293 s 0.341
2022-11-09 19:52 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.147 s -0.203
2022-11-09 19:52 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s 0.227
2022-11-09 19:52 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.249 s -0.152
2022-11-09 19:52 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.356 s -0.267
2022-11-09 19:52 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.856 s 0.364
2022-11-09 19:53 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.099 s 1.325
2022-11-09 19:53 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.498 s 2.115
2022-11-09 19:54 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.177 s 0.565
2022-11-09 19:54 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.224 s 0.120
2022-11-09 19:54 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.323 s 0.643
2022-11-09 19:54 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.409 s 0.378
2022-11-09 19:54 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.582 s 0.725
2022-11-09 19:54 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.821 s 0.347
2022-11-09 19:56 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.907 s 0.631
2022-11-09 19:55 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.283 s 0.881
2022-11-09 19:55 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.273
2022-11-09 19:56 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.451
2022-11-09 19:55 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.329 s -0.320
2022-11-09 19:55 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.061
2022-11-09 19:56 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.323 s -0.085
2022-11-09 19:56 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.423 s 0.678
2022-11-09 19:56 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.514 s -0.635
2022-11-09 19:57 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s 0.028
2022-11-09 19:57 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.401
2022-11-09 19:57 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.727 s -0.008
2022-11-09 19:57 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.246 s 0.101
2022-11-09 19:57 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 0.391
2022-11-09 19:58 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.601 s -0.140
2022-11-09 19:58 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s -0.522
2022-11-09 19:58 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.437
2022-11-09 19:59 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s 0.175
2022-11-09 19:58 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.595 s -0.706
2022-11-09 19:59 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.421
2022-11-09 19:59 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.214 s 0.606
2022-11-09 19:59 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.212
2022-11-09 20:00 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.882 s 1.106
2022-11-09 19:59 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 1.155
2022-11-09 20:00 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.290
2022-11-09 20:00 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.271
2022-11-09 19:59 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.525 s 0.296
2022-11-09 20:00 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.056 s -0.122
2022-11-09 20:00 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s 0.087
2022-11-09 20:01 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.250
2022-11-09 20:00 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.318 s 0.018
2022-11-09 20:01 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.658 s 0.591
2022-11-09 20:02 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.406 s 0.293
2022-11-09 20:01 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.946 s 0.362
2022-11-09 20:02 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.205 s 0.402
2022-11-09 20:02 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.586 s 0.731
2022-11-09 20:02 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.191 s 0.231
2022-11-09 20:02 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s 0.052
2022-11-09 20:02 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s 0.167
2022-11-09 20:02 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.532 s 0.672
2022-11-09 20:04 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.316 s -0.823
2022-11-09 20:03 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.457 s 2.406
2022-11-09 20:04 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.263 s -0.807
2022-11-09 20:04 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.302 s -0.617
2022-11-09 20:04 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.425 s -0.444
2022-11-09 20:03 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.181 s 1.186
2022-11-09 20:04 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.433 s -0.916
2022-11-09 20:04 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.861 s -0.144
2022-11-09 20:05 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.412 s 0.238
2022-11-09 20:07 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.944 s 0.200
2022-11-09 20:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.286 s 0.567
2022-11-09 20:07 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.850 s 0.296
2022-11-09 20:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.255 s 0.596
2022-11-09 20:13 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.729 s 0.343
2022-11-09 20:14 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.445 s 0.258
2022-11-09 20:06 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.053 s -0.046
2022-11-09 20:08 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.440 s 0.104
2022-11-09 20:06 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s 0.044
2022-11-09 20:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.239 s 0.012
2022-11-09 20:23 JavaScript toArray Vector dictionary 0.010 s 1.319
2022-11-09 20:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.295
2022-11-09 20:23 JavaScript Iterate Vector int16Array 0.002 s 0.109
2022-11-09 20:23 JavaScript Table 1,000,000, tracks 0.308 s -1.635
2022-11-09 20:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.490
2022-11-09 20:22 JavaScript vectorFromArray dictionary 0.017 s 0.839
2022-11-09 20:22 JavaScript Iterate Vector uint16Array 0.002 s -0.021
2022-11-09 20:23 JavaScript Iterate Vector float64Array 0.002 s -1.564
2022-11-09 20:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s 0.091
2022-11-09 20:08 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.713 s 0.349
2022-11-09 20:08 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.377 s 0.394
2022-11-09 20:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.257 s -0.004
2022-11-09 20:23 JavaScript Iterate Vector int8Array 0.002 s -0.519
2022-11-09 20:06 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s 0.081
2022-11-09 20:07 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.601 s 0.562
2022-11-09 20:22 JavaScript vectorFromArray booleans 0.017 s 0.564
2022-11-09 20:23 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.165
2022-11-09 20:22 JavaScript Iterate Vector uint8Array 0.002 s -0.983
2022-11-09 20:22 JavaScript Iterate Vector uint32Array 0.002 s 0.078
2022-11-09 20:23 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.806
2022-11-09 20:11 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.937 s 0.027
2022-11-09 20:23 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.428
2022-11-09 20:08 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.896 s 0.093
2022-11-09 20:08 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.778 s 0.333
2022-11-09 20:22 JavaScript Iterate Vector uint64Array 0.004 s 0.505
2022-11-09 20:23 JavaScript Iterate Vector string 0.129 s -1.336
2022-11-09 20:09 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.140 s -0.354
2022-11-09 20:14 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.302 s 0.415
2022-11-09 20:23 JavaScript toArray Vector booleans 0.010 s 1.077
2022-11-09 20:23 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.206
2022-11-09 20:23 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.521
2022-11-09 20:23 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.528
2022-11-09 20:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.299
2022-11-09 20:14 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.304 s -0.320
2022-11-09 20:23 JavaScript toArray Vector uint8Array
2022-11-09 20:23 JavaScript toArray Vector int8Array
2022-11-09 20:23 JavaScript toArray Vector int32Array
2022-11-09 20:23 JavaScript toArray Vector float32Array
2022-11-09 20:23 JavaScript get Vector numbers 0.002 s 0.113
2022-11-09 20:23 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.792
2022-11-09 20:22 JavaScript vectorFromArray numbers 0.016 s 0.548
2022-11-09 20:23 JavaScript get Vector int16Array 0.003 s -0.019
2022-11-09 20:23 JavaScript get Vector int64Array 0.003 s -0.926
2022-11-09 20:23 JavaScript Parse write recordBatches, tracks 0.002 s -2.259
2022-11-09 20:23 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.881
2022-11-09 20:23 JavaScript Iterate Vector int32Array 0.002 s -0.540
2022-11-09 20:23 JavaScript Spread Vector uint32Array 0.007 s 0.307
2022-11-09 20:23 JavaScript Iterate Vector int64Array 0.004 s -0.195
2022-11-09 20:23 JavaScript Spread Vector float64Array 0.008 s 0.327
2022-11-09 20:23 JavaScript toArray Vector uint16Array
2022-11-09 20:23 JavaScript toArray Vector string 0.147 s -0.496
2022-11-09 20:23 JavaScript get Vector uint16Array 0.003 s -0.271
2022-11-09 20:23 JavaScript get Vector booleans 0.002 s -0.167
2022-11-09 20:23 JavaScript Iterate Vector float32Array 0.002 s -0.419
2022-11-09 20:23 JavaScript Spread Vector uint8Array 0.006 s 0.393
2022-11-09 20:23 JavaScript Spread Vector float32Array 0.008 s 0.333
2022-11-09 20:23 JavaScript Spread Vector numbers 0.008 s 0.461
2022-11-09 20:23 JavaScript Spread Vector dictionary 0.010 s -0.318
2022-11-09 20:23 JavaScript toArray Vector uint32Array
2022-11-09 20:23 JavaScript Iterate Vector numbers 0.002 s -1.606
2022-11-09 20:23 JavaScript Iterate Vector dictionary 0.004 s -0.331
2022-11-09 20:23 JavaScript Spread Vector int8Array 0.006 s -0.192
2022-11-09 20:23 JavaScript get Vector uint32Array 0.003 s -2.999
2022-11-09 20:23 JavaScript Iterate Vector booleans 0.004 s 0.199
2022-11-09 20:23 JavaScript Spread Vector int64Array 0.012 s 0.379
2022-11-09 20:23 JavaScript Spread Vector string 0.147 s -0.532
2022-11-09 20:23 JavaScript toArray Vector uint64Array
2022-11-09 20:23 JavaScript toArray Vector int16Array
2022-11-09 20:23 JavaScript toArray Vector int64Array
2022-11-09 20:23 JavaScript toArray Vector float64Array
2022-11-09 20:23 JavaScript Spread Vector uint16Array 0.006 s 0.321
2022-11-09 20:23 JavaScript Spread Vector uint64Array 0.012 s 0.546
2022-11-09 20:23 JavaScript Spread Vector int16Array 0.006 s 0.241
2022-11-09 20:23 JavaScript Spread Vector booleans 0.010 s -0.622
2022-11-09 20:23 JavaScript get Vector uint64Array 0.003 s -0.236
2022-11-09 20:23 JavaScript Table tracks, 1,000,000 0.050 s 0.111
2022-11-09 20:23 JavaScript Spread Vector int32Array 0.007 s -0.125
2022-11-09 20:23 JavaScript toArray Vector numbers
2022-11-09 20:23 JavaScript get Vector float32Array 0.002 s 0.080
2022-11-09 20:23 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.512
2022-11-09 20:23 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.930
2022-11-09 20:23 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.503
2022-11-09 20:23 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-09 20:23 JavaScript get Vector uint8Array 0.003 s -0.186
2022-11-09 20:23 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.185 s 1.291
2022-11-09 20:23 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.346
2022-11-09 20:23 JavaScript Table tracks, 1,000,000 0.269 s 0.273
2022-11-09 20:23 JavaScript Table tracks, 1,000,000 0.094 s 1.195
2022-11-09 20:23 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.031 s 0.243
2022-11-09 20:23 JavaScript get Vector int8Array 0.003 s 0.379
2022-11-09 20:23 JavaScript get Vector int32Array 0.003 s 0.079
2022-11-09 20:23 JavaScript get Vector dictionary 0.002 s -0.068
2022-11-09 20:23 JavaScript get Vector float64Array 0.002 s 0.113
2022-11-09 20:23 JavaScript get Vector string 0.127 s -1.392
2022-11-09 20:23 JavaScript Parse read recordBatches, tracks 0.000 s 0.217
2022-11-09 20:23 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.345
2022-11-09 20:23 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 1.005
2022-11-09 20:23 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.125
2022-11-09 20:23 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-09 20:23 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-09 20:23 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-09 20:23 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.031 s 0.268
2022-11-09 20:23 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.906