Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-15 23:43 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.674 s 0.832
2022-11-15 23:45 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.953 s 1.295
2022-11-15 23:45 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.420 s 0.970
2022-11-15 23:49 Python dataframe-to-table type_nested 2.869 s -0.900
2022-11-15 23:58 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.164 s 0.437
2022-11-15 23:46 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.626 s 1.491
2022-11-15 23:48 Python dataframe-to-table type_strings 0.451 s -0.514
2022-11-16 00:09 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.273 s -0.049
2022-11-16 00:10 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.663 s 0.142
2022-11-16 00:14 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.365 s 0.508
2022-11-15 23:48 Python dataframe-to-table type_integers 0.010 s -1.458
2022-11-16 00:10 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.644 s -1.116
2022-11-16 00:09 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.175 s 0.265
2022-11-15 23:43 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.243 s 0.439
2022-11-15 23:45 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.129 s 0.043
2022-11-15 23:48 Python dataframe-to-table chi_traffic_2020_Q1 20.217 s 0.076
2022-11-15 23:48 Python dataframe-to-table type_dict 0.011 s 0.273
2022-11-15 23:48 Python dataframe-to-table type_floats 0.011 s -0.545
2022-11-16 00:11 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.369 s -0.173
2022-11-15 23:46 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.485 s 1.756
2022-11-15 23:49 Python dataset-filter nyctaxi_2010-01 1.009 s -0.119
2022-11-15 23:53 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 93.570 s -1.249
2022-11-15 23:44 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.981 s 1.293
2022-11-16 00:09 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.223 s 0.005
2022-11-16 00:09 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.008 s 0.375
2022-11-16 00:11 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.896 s 1.463
2022-11-16 00:12 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.932 s 0.754
2022-11-16 00:11 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.905 s 0.895
2022-11-16 00:10 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.512 s -0.539
2022-11-16 00:10 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.651 s -0.906
2022-11-16 00:10 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.509 s -0.186
2022-11-16 00:12 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.609 s -0.204
2022-11-16 00:11 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.807 s -0.819
2022-11-16 00:12 Python file-read lz4, feather, table, nyctaxi_2010-01 0.688 s -0.111
2022-11-16 00:15 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.011 s -0.021
2022-11-16 00:11 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.968 s -0.365
2022-11-16 00:10 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.162 s -0.265
2022-11-16 00:14 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.736 s -0.117
2022-11-16 00:09 Python dataset-read async=True, nyctaxi_multi_ipc_s3 225.434 s -0.046
2022-11-16 00:09 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.288 s 0.173
2022-11-16 00:10 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.053 s 0.105
2022-11-16 00:10 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.168 s -1.534
2022-11-16 00:11 Python file-read lz4, feather, table, fanniemae_2016Q4 0.831 s -0.774
2022-11-16 00:11 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.977 s -0.851
2022-11-16 00:12 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.404 s -2.068
2022-11-16 00:10 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.201 s -0.547
2022-11-16 00:11 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.341 s -1.592
2022-11-16 00:12 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.034 s 0.543
2022-11-16 00:15 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.038 s -0.150
2022-11-16 00:16 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.890 s -0.320
2022-11-16 00:16 Python file-write lz4, feather, table, fanniemae_2016Q4 1.557 s 0.033
2022-11-16 00:17 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.591 s 1.017
2022-11-16 00:17 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.141 s 0.310
2022-11-16 00:17 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.879 s -0.316
2022-11-16 00:18 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.514 s 1.201
2022-11-16 00:18 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.069 s 0.210
2022-11-16 00:18 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.976 s -0.009
2022-11-16 00:19 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.874 s -0.414
2022-11-16 00:19 Python file-write lz4, feather, table, nyctaxi_2010-01 1.653 s 0.428
2022-11-16 00:19 Python wide-dataframe use_legacy_dataset=true 0.372 s 0.506
2022-11-16 00:19 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.433 s 0.117
2022-11-16 00:19 Python wide-dataframe use_legacy_dataset=false 0.553 s -2.701
2022-11-16 00:29 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.331 s -1.212
2022-11-16 00:27 R dataframe-to-table type_strings, R 0.536 s 1.182
2022-11-16 00:29 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.583 s -1.287
2022-11-16 00:29 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.616 s -2.835
2022-11-16 00:39 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.486 s 1.496
2022-11-16 00:34 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.905 s 0.580
2022-11-16 00:30 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.553 s -0.955
2022-11-16 00:47 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.363
2022-11-16 00:40 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.388 s 0.467
2022-11-16 00:43 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.719 s 1.157
2022-11-16 00:48 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.553 s 0.198
2022-11-16 00:49 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s -1.085
2022-11-16 00:30 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.900 s -0.468
2022-11-16 00:45 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.305 s 0.793
2022-11-16 00:50 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.247
2022-11-16 00:51 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.224 s 0.042
2022-11-16 00:28 R dataframe-to-table type_floats, R 0.013 s 1.216
2022-11-16 00:28 R dataframe-to-table type_nested, R 0.572 s 0.864
2022-11-16 00:30 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.895 s -0.349
2022-11-16 00:31 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.248
2022-11-16 00:31 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.903 s 0.453
2022-11-16 00:29 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.629
2022-11-16 00:58 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.284 s -0.118
2022-11-16 00:59 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.602
2022-11-16 00:53 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.236 s 1.112
2022-11-16 00:54 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.276
2022-11-16 00:28 R dataframe-to-table type_integers, R 0.010 s 0.281
2022-11-16 00:50 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.285 s 0.188
2022-11-16 00:51 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.054 s -0.760
2022-11-16 00:52 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.584 s -0.349
2022-11-16 00:56 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.626 s 1.483
2022-11-16 00:51 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.606
2022-11-16 01:00 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.714 s -1.051
2022-11-16 00:30 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.859 s -1.255
2022-11-16 00:41 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.999 s 0.887
2022-11-16 00:28 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.339 s -1.176
2022-11-16 00:37 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.952 s 0.329
2022-11-16 00:42 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.956 s 0.495
2022-11-16 00:49 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.236 s -0.397
2022-11-16 00:54 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.256 s 0.764
2022-11-16 00:29 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.590 s -1.108
2022-11-16 00:29 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.789
2022-11-16 00:48 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.244 s 0.771
2022-11-16 00:54 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.884 s 2.454
2022-11-16 00:55 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.321 s -1.681
2022-11-16 00:56 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.159 s -0.836
2022-11-16 00:57 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s -0.564
2022-11-16 00:57 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s -1.642
2022-11-16 00:58 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.333 s -0.648
2022-11-16 00:58 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.369 s -0.767
2022-11-16 00:59 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s 0.141
2022-11-16 00:27 R dataframe-to-table chi_traffic_2020_Q1, R 4.331 s -0.177
2022-11-16 00:28 R dataframe-to-table type_dict, R 0.033 s 3.904
2022-11-16 00:30 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.557 s -0.808
2022-11-16 00:30 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.214 s 1.386
2022-11-16 00:49 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.199 s -1.088
2022-11-16 00:51 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.228 s 0.052
2022-11-16 00:33 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.151 s 0.222
2022-11-16 00:50 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.330 s -0.337
2022-11-16 00:53 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.515 s -0.451
2022-11-16 01:01 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.269 s -0.113
2022-11-16 01:05 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.528 s -1.315
2022-11-16 01:12 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.236 s -0.406
2022-11-16 01:13 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.191 s -0.622
2022-11-16 01:15 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.255 s -0.852
2022-11-16 01:16 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.538 s -0.101
2022-11-16 00:30 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.816 s 1.375
2022-11-16 00:32 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.493 s 0.518
2022-11-16 00:46 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.322 s -1.183
2022-11-16 00:48 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.223 s -0.965
2022-11-16 00:50 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.686 s 0.148
2022-11-16 00:51 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s -0.519
2022-11-16 00:54 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.174 s -0.234
2022-11-16 01:08 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.583 s 0.872
2022-11-16 00:36 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.561 s 0.464
2022-11-16 00:44 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.928 s 0.249
2022-11-16 00:48 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.547 s 0.006
2022-11-16 00:50 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.007 s -0.636
2022-11-16 00:51 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s -0.414
2022-11-16 00:58 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.161
2022-11-16 01:01 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.319 s -0.676
2022-11-16 00:51 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s -0.294
2022-11-16 00:55 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.352 s -3.604
2022-11-16 00:58 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.659 s -1.004
2022-11-16 01:00 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.602 s 1.756
2022-11-16 01:03 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.122 s -0.331
2022-11-16 01:06 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.360 s -1.973
2022-11-16 00:55 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.633 s 0.201
2022-11-16 00:56 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.802 s -1.696
2022-11-16 00:59 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.612 s -0.485
2022-11-16 00:38 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.954 s -0.221
2022-11-16 00:48 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.575 s 0.622
2022-11-16 00:52 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.298 s 0.013
2022-11-16 00:53 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.227 s 1.134
2022-11-16 00:58 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.341 s 0.038
2022-11-16 01:10 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.232 s -0.834
2022-11-16 01:10 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.427 s -0.604
2022-11-16 01:13 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.218 s -0.531
2022-11-16 01:15 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.662 s -0.490
2022-11-16 00:48 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.197 s -0.657
2022-11-16 00:50 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.343 s 0.069
2022-11-16 01:03 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.653 s -0.835
2022-11-16 01:07 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.523 s -0.718
2022-11-16 01:08 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.325 s 0.058
2022-11-16 01:14 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.218 s -1.012
2022-11-16 00:49 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.279 s -1.051
2022-11-16 00:49 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.588 s -0.567
2022-11-16 00:53 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.398
2022-11-16 00:56 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.158 s -1.329
2022-11-16 01:03 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.364
2022-11-16 01:05 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.862 s 0.286
2022-11-16 01:09 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.335
2022-11-16 00:55 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.310 s -0.131
2022-11-16 00:57 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.292 s -0.670
2022-11-16 01:05 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.026
2022-11-16 01:06 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.154 s -0.171
2022-11-16 01:09 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.274 s 1.955
2022-11-16 01:10 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.541 s -1.845
2022-11-16 01:11 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.207 s -1.941
2022-11-16 01:17 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.198 s 0.814
2022-11-16 00:55 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.263 s 0.202
2022-11-16 00:59 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.765 s 0.908
2022-11-16 01:00 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.419 s 0.048
2022-11-16 01:01 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.775 s -0.960
2022-11-16 01:02 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.438 s -0.164
2022-11-16 01:02 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.953 s -0.598
2022-11-16 01:14 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s -0.581
2022-11-16 01:16 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.994 s -2.711
2022-11-16 01:20 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.369 s -0.757
2022-11-16 00:52 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.300 s -1.096
2022-11-16 00:53 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.192 s 1.516
2022-11-16 00:53 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.746
2022-11-16 01:06 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.466 s 0.383
2022-11-16 01:09 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.335 s -0.432
2022-11-16 01:13 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.590 s -0.463
2022-11-16 01:13 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.520 s 1.127
2022-11-16 00:52 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.909 s 0.296
2022-11-16 01:00 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.867
2022-11-16 01:00 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.361 s 0.593
2022-11-16 01:01 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.368 s -1.062
2022-11-16 01:06 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.248 s -0.138
2022-11-16 01:08 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.288
2022-11-16 01:09 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.208 s -2.161
2022-11-16 01:04 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.755 s -0.667
2022-11-16 01:13 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.478
2022-11-16 01:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.432 s -0.437
2022-11-16 01:20 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.255 s 1.330
2022-11-16 00:56 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s -1.468
2022-11-16 00:56 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.232 s -1.205
2022-11-16 00:57 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.176 s -1.176
2022-11-16 01:06 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.200 s 0.247
2022-11-16 01:16 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.239 s -0.338
2022-11-16 01:19 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.418 s -0.629
2022-11-16 01:20 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.018 s 0.761
2022-11-16 01:21 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.957 s -1.419
2022-11-16 01:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.381 s -0.082
2022-11-16 01:04 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.337
2022-11-16 01:05 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.226 s 0.309
2022-11-16 01:06 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.294 s -0.084
2022-11-16 01:11 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.371
2022-11-16 01:18 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.264 s -0.569
2022-11-16 01:18 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.867 s -0.725
2022-11-16 01:28 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.446 s -0.240
2022-11-16 01:04 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.889 s 1.937
2022-11-16 01:12 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.581 s -0.425
2022-11-16 01:27 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.237 s 0.364
2022-11-16 01:27 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.255 s 0.251
2022-11-16 01:27 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.222 s -0.022
2022-11-16 01:28 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.296 s 0.034
2022-11-16 01:01 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.293 s 0.185
2022-11-16 01:02 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.771 s -1.163
2022-11-16 01:03 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.672
2022-11-16 01:08 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.410 s -0.444
2022-11-16 01:10 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.324 s -0.756
2022-11-16 01:10 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.921 s -0.381
2022-11-16 01:03 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s -0.243
2022-11-16 01:11 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.203 s -0.866
2022-11-16 01:12 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.613 s -1.853
2022-11-16 01:16 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.280
2022-11-16 01:27 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.647 s 0.498
2022-11-16 01:03 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.331 s -0.247
2022-11-16 01:05 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s -0.120
2022-11-16 01:14 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.885 s 0.279
2022-11-16 01:16 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.660
2022-11-16 01:16 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s -0.304
2022-11-16 01:20 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 1.024
2022-11-16 01:03 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s 0.722
2022-11-16 01:08 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.166 s 0.150
2022-11-16 01:08 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 0.721
2022-11-16 01:11 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.754 s -0.247
2022-11-16 01:14 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.061 s -0.271
2022-11-16 01:15 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.944 s 0.429
2022-11-16 01:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.889 s 0.128
2022-11-16 01:05 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.326 s 0.278
2022-11-16 01:11 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.246 s -0.424
2022-11-16 01:13 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.235 s -0.506
2022-11-16 01:14 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.317 s -0.682
2022-11-16 01:20 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.286 s 1.295
2022-11-16 01:22 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.716 s -0.365
2022-11-16 01:27 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s -0.052
2022-11-16 01:06 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.870 s -1.041
2022-11-16 01:08 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.824 s -0.774
2022-11-16 01:13 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.280 s 0.565
2022-11-16 01:17 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.494 s 0.245
2022-11-16 01:18 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.429 s -0.652
2022-11-16 01:21 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.599 s 1.706
2022-11-16 01:20 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s -0.718
2022-11-16 01:22 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.777 s 0.439
2022-11-16 01:23 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.096 s 1.092
2022-11-16 01:28 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.305 s -0.602
2022-11-16 01:16 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.406 s -0.193
2022-11-16 01:14 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.213 s -1.051
2022-11-16 01:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.306 s -0.643
2022-11-16 01:25 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.004 s -0.360
2022-11-16 01:27 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.457
2022-11-16 01:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.317 s -0.521
2022-11-16 01:21 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.916 s -0.845
2022-11-16 01:22 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s -0.332
2022-11-16 01:37 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.058
2022-11-16 01:37 JavaScript Spread Vector float64Array 0.008 s 0.168
2022-11-16 01:37 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.593
2022-11-16 01:37 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.218
2022-11-16 01:37 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.342
2022-11-16 01:36 JavaScript vectorFromArray booleans 0.017 s 0.539
2022-11-16 01:36 JavaScript Iterate Vector uint16Array 0.002 s -0.452
2022-11-16 01:36 JavaScript Iterate Vector int64Array 0.004 s 0.648
2022-11-16 01:36 JavaScript Iterate Vector uint64Array 0.004 s 0.409
2022-11-16 01:36 JavaScript Iterate Vector float64Array 0.002 s 0.749
2022-11-16 01:36 JavaScript Iterate Vector uint8Array 0.002 s 0.236
2022-11-16 01:36 JavaScript Iterate Vector uint32Array 0.002 s 0.409
2022-11-16 01:36 JavaScript vectorFromArray dictionary 0.017 s 0.622
2022-11-16 01:36 JavaScript vectorFromArray numbers 0.016 s 0.072
2022-11-16 01:36 JavaScript Iterate Vector int16Array 0.002 s 0.017
2022-11-16 01:36 JavaScript Spread Vector uint16Array 0.006 s 0.251
2022-11-16 01:37 JavaScript Spread Vector int64Array 0.012 s 0.910
2022-11-16 01:36 JavaScript Iterate Vector numbers 0.002 s 0.699
2022-11-16 01:37 JavaScript get Vector string 0.125 s -0.003
2022-11-16 01:36 JavaScript Iterate Vector float32Array 0.002 s 0.205
2022-11-16 01:37 JavaScript get Vector int8Array 0.003 s 0.963
2022-11-16 01:37 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 01:37 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.446
2022-11-16 01:37 JavaScript Table tracks, 1,000,000 0.050 s 0.210
2022-11-16 01:37 JavaScript toArray Vector dictionary 0.010 s -0.276
2022-11-16 01:37 JavaScript get Vector float32Array 0.002 s 0.145
2022-11-16 01:37 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.207
2022-11-16 01:36 JavaScript Iterate Vector int8Array 0.002 s 0.148
2022-11-16 01:36 JavaScript Iterate Vector int32Array 0.002 s 0.152
2022-11-16 01:36 JavaScript Iterate Vector dictionary 0.004 s -0.431
2022-11-16 01:36 JavaScript Spread Vector uint8Array 0.006 s 0.339
2022-11-16 01:36 JavaScript Spread Vector int8Array 0.006 s 0.083
2022-11-16 01:36 JavaScript Iterate Vector booleans 0.004 s -2.385
2022-11-16 01:36 JavaScript Iterate Vector string 0.126 s 0.498
2022-11-16 01:36 JavaScript Spread Vector uint64Array 0.012 s -0.462
2022-11-16 01:37 JavaScript Spread Vector int16Array 0.006 s 0.233
2022-11-16 01:37 JavaScript Spread Vector booleans 0.010 s 0.112
2022-11-16 01:37 JavaScript Spread Vector string 0.143 s 1.355
2022-11-16 01:36 JavaScript Spread Vector uint32Array 0.007 s 0.116
2022-11-16 01:37 JavaScript Spread Vector float32Array 0.008 s 0.130
2022-11-16 01:37 JavaScript Spread Vector numbers 0.008 s 0.333
2022-11-16 01:37 JavaScript toArray Vector numbers
2022-11-16 01:37 JavaScript get Vector uint8Array 0.002 s 1.778
2022-11-16 01:37 JavaScript Spread Vector int32Array 0.006 s 0.146
2022-11-16 01:37 JavaScript toArray Vector uint32Array
2022-11-16 01:37 JavaScript toArray Vector int32Array
2022-11-16 01:37 JavaScript get Vector uint32Array 0.003 s 1.870
2022-11-16 01:37 JavaScript get Vector int32Array 0.002 s 1.479
2022-11-16 01:37 JavaScript Spread Vector dictionary 0.010 s 0.369
2022-11-16 01:37 JavaScript toArray Vector uint8Array
2022-11-16 01:37 JavaScript toArray Vector int8Array
2022-11-16 01:37 JavaScript toArray Vector float32Array
2022-11-16 01:37 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.675
2022-11-16 01:37 JavaScript toArray Vector uint16Array
2022-11-16 01:37 JavaScript toArray Vector uint64Array
2022-11-16 01:37 JavaScript toArray Vector int64Array
2022-11-16 01:37 JavaScript toArray Vector booleans 0.010 s -0.470
2022-11-16 01:37 JavaScript get Vector uint16Array 0.003 s 1.783
2022-11-16 01:37 JavaScript get Vector uint64Array 0.003 s 1.231
2022-11-16 01:37 JavaScript toArray Vector int16Array
2022-11-16 01:37 JavaScript toArray Vector float64Array
2022-11-16 01:37 JavaScript toArray Vector string 0.143 s 1.534
2022-11-16 01:37 JavaScript get Vector int16Array 0.003 s 1.771
2022-11-16 01:37 JavaScript get Vector int64Array 0.003 s 0.770
2022-11-16 01:37 JavaScript get Vector float64Array 0.002 s 0.075
2022-11-16 01:37 JavaScript get Vector booleans 0.002 s 0.213
2022-11-16 01:37 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.114
2022-11-16 01:37 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.659
2022-11-16 01:37 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.424
2022-11-16 01:37 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s -0.000
2022-11-16 01:37 JavaScript get Vector numbers 0.002 s 0.076
2022-11-16 01:37 JavaScript get Vector dictionary 0.002 s 2.037
2022-11-16 01:37 JavaScript Parse read recordBatches, tracks 0.000 s -0.838
2022-11-16 01:37 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.019
2022-11-16 01:37 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.310
2022-11-16 01:37 JavaScript Table 1,000,000, tracks 0.314 s -1.895
2022-11-16 01:37 JavaScript Parse write recordBatches, tracks 0.002 s -1.226
2022-11-16 01:37 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.031 s 0.252
2022-11-16 01:37 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.572
2022-11-16 01:37 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.644
2022-11-16 01:37 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 01:37 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.185 s 1.097
2022-11-16 01:37 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 01:37 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.569
2022-11-16 01:37 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 01:37 JavaScript Table tracks, 1,000,000 0.290 s -0.794
2022-11-16 01:37 JavaScript Table tracks, 1,000,000 0.095 s 0.538
2022-11-16 01:37 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.031 s 0.272