Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-18 04:00 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.777 s 0.564
2023-01-18 04:00 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.270 s 0.071
2023-01-18 04:01 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.197 s -1.512
2023-01-18 04:02 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.433 s 0.855
2023-01-18 04:01 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.180 s -1.512
2023-01-18 04:02 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.117 s 0.241
2023-01-18 04:02 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.269 s 1.669
2023-01-18 04:03 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.236 s 1.578
2023-01-18 04:05 Python dataframe-to-table chi_traffic_2020_Q1 21.057 s 0.087
2023-01-18 04:05 Python dataframe-to-table type_strings 0.425 s 1.036
2023-01-18 04:05 Python dataframe-to-table type_integers 0.010 s -1.047
2023-01-18 04:05 Python dataframe-to-table type_dict 0.011 s -1.066
2023-01-18 04:05 Python dataframe-to-table type_floats 0.010 s 0.168
2023-01-18 04:05 Python dataframe-to-table type_nested 2.953 s 0.729
2023-01-18 04:05 Python dataset-filter nyctaxi_2010-01 1.023 s -0.121
2023-01-18 04:09 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 75.491 s 0.618
2023-01-18 04:13 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.423 s 0.298
2023-01-18 04:25 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.255 s 0.473
2023-01-18 04:25 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.051 s 0.249
2023-01-18 04:25 Python dataset-read async=True, nyctaxi_multi_ipc_s3 225.430 s -0.265
2023-01-18 04:25 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.213 s 0.222
2023-01-18 04:25 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.029 s 0.300
2023-01-18 04:25 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.194 s 0.135
2023-01-18 04:25 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.299 s 0.244
2023-01-18 04:26 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.659 s 0.283
2023-01-18 04:26 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.551
2023-01-18 04:26 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.184 s -0.953
2023-01-18 04:26 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.644
2023-01-18 04:26 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.206 s -0.136
2023-01-18 04:26 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.127 s 0.297
2023-01-18 04:26 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -1.674
2023-01-18 04:26 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.730 s 16.106
2023-01-18 04:26 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.941 s -1.966
2023-01-18 04:26 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.371
2023-01-18 04:27 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.779
2023-01-18 04:27 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.255 s 16.897
2023-01-18 04:30 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.359 s -1.627
2023-01-18 04:31 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.148 s 0.839
2023-01-18 04:31 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.153
2023-01-18 04:38 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.296 s 15.782
2023-01-18 04:44 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.412 s -0.724
2023-01-18 04:52 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.635 s 0.259
2023-01-18 04:53 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.493 s 0.253
2023-01-18 04:53 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.309 s 0.365
2023-01-18 04:38 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.525
2023-01-18 04:52 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.174 s 15.096
2023-01-18 04:56 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.369 s -1.609
2023-01-18 05:11 R dataframe-to-table type_strings, R 0.535 s 0.009
2023-01-18 04:59 Python file-write lz4, feather, table, fanniemae_2016Q4 1.886 s -0.259
2023-01-18 04:39 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.834 s 15.011
2023-01-18 04:54 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.992 s -0.078
2023-01-18 04:54 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.583 s 0.366
2023-01-18 04:58 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.390 s -0.184
2023-01-18 05:01 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.911 s -1.533
2023-01-18 04:38 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.289 s -1.684
2023-01-18 04:44 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.407 s -0.126
2023-01-18 04:53 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.493 s 0.190
2023-01-18 04:58 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.562 s -1.755
2023-01-18 05:02 Python wide-dataframe use_legacy_dataset=true 0.377 s 0.227
2023-01-18 04:39 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.623
2023-01-18 04:40 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.381 s 15.694
2023-01-18 04:43 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.033 s -1.678
2023-01-18 04:53 Python file-read lz4, feather, table, fanniemae_2016Q4 0.807 s 0.444
2023-01-18 04:54 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.206 s 0.322
2023-01-18 04:54 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.938 s 0.043
2023-01-18 04:54 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.329 s 0.409
2023-01-18 05:00 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 6.040 s -1.396
2023-01-18 04:59 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.376 s -0.311
2023-01-18 04:59 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.888 s 0.074
2023-01-18 05:00 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.509 s -1.462
2023-01-18 05:10 R dataframe-to-table chi_traffic_2020_Q1, R 4.372 s -0.997
2023-01-18 05:12 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -0.373
2023-01-18 05:12 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.324 s -0.319
2023-01-18 05:13 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.845 s 0.302
2023-01-18 05:13 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.918 s -0.184
2023-01-18 05:14 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.921 s -0.295
2023-01-18 05:21 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.957 s 0.490
2023-01-18 04:39 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.077
2023-01-18 04:53 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.599 s 0.505
2023-01-18 04:53 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.609 s 0.353
2023-01-18 04:54 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.990 s -0.024
2023-01-18 04:54 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.947 s -0.090
2023-01-18 04:54 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.931 s 0.366
2023-01-18 04:57 Python file-write snappy, parquet, table, fanniemae_2016Q4 11.015 s -1.705
2023-01-18 05:12 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.578 s -0.353
2023-01-18 05:13 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.568 s -0.161
2023-01-18 04:39 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.063 s -1.735
2023-01-18 04:39 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.227 s -1.872
2023-01-18 04:54 Python file-read lz4, feather, table, nyctaxi_2010-01 0.670 s 0.371
2023-01-18 04:55 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.726 s -1.267
2023-01-18 05:01 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.406 s -1.610
2023-01-18 05:02 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.186 s -0.256
2023-01-18 05:02 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.213 s -0.123
2023-01-18 05:01 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.760 s -0.142
2023-01-18 05:13 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.573 s -0.337
2023-01-18 05:14 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s 0.291
2023-01-18 05:14 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.816 s 0.322
2023-01-18 05:02 Python file-write lz4, feather, table, nyctaxi_2010-01 1.807 s -0.172
2023-01-18 05:15 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.971 s -1.662
2023-01-18 05:17 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.870 s -1.292
2023-01-18 05:02 Python wide-dataframe use_legacy_dataset=false 0.516 s 0.154
2023-01-18 05:11 R dataframe-to-table type_integers, R 0.010 s 0.502
2023-01-18 05:12 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.318 s -0.069
2023-01-18 05:12 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.255
2023-01-18 05:13 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s 0.258
2023-01-18 05:22 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.993 s 1.042
2023-01-18 05:14 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.577 s 0.321
2023-01-18 05:11 R dataframe-to-table type_dict, R 0.064 s -1.017
2023-01-18 05:11 R dataframe-to-table type_floats, R 0.013 s 0.515
2023-01-18 05:11 R dataframe-to-table type_nested, R 0.573 s -0.005
2023-01-18 05:13 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.593 s 0.304
2023-01-18 05:20 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.376 s -1.592
2023-01-18 05:14 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.897 s 0.312
2023-01-18 05:18 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.388 s -1.674
2023-01-18 05:23 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 1.039
2023-01-18 05:24 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.488 s 0.235
2023-01-18 05:25 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.084 s -1.699
2023-01-18 05:26 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.912 s -1.681
2023-01-18 05:27 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.831 s -1.811
2023-01-18 05:28 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.867 s -1.757
2023-01-18 05:30 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.178 s -0.364
2023-01-18 05:29 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s 0.602
2023-01-18 05:31 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 1.068
2023-01-18 05:32 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.563 s 0.040
2023-01-18 05:32 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.247 s 0.810
2023-01-18 05:32 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.084 s -0.606
2023-01-18 05:32 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.593 s -0.661
2023-01-18 05:32 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.601 s 0.021
2023-01-18 05:33 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.123
2023-01-18 05:32 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.201 s 0.161
2023-01-18 05:33 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.241 s 0.229
2023-01-18 05:33 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.201 s 0.161
2023-01-18 05:34 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.017
2023-01-18 05:33 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.215
2023-01-18 05:33 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.591 s -0.169
2023-01-18 05:34 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.843 s -0.355
2023-01-18 05:34 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.002 s 0.289
2023-01-18 05:34 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.177
2023-01-18 05:34 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.348 s 0.239
2023-01-18 05:35 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.071 s -0.717
2023-01-18 05:35 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.436 s 0.037
2023-01-18 05:34 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.288 s 0.288
2023-01-18 05:35 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.204
2023-01-18 05:35 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.227 s 0.219
2023-01-18 05:35 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.666 s -0.888
2023-01-18 05:35 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.214
2023-01-18 05:36 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.272
2023-01-18 05:36 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.255
2023-01-18 05:36 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.159
2023-01-18 05:36 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.589 s 0.090
2023-01-18 05:37 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.584 s -0.407
2023-01-18 05:37 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.886 s 0.642
2023-01-18 05:37 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.345
2023-01-18 05:37 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.345
2023-01-18 05:37 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.312
2023-01-18 05:38 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.296
2023-01-18 05:37 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.336
2023-01-18 05:38 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.270 s 0.306
2023-01-18 05:38 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.221 s -0.507
2023-01-18 05:39 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.206
2023-01-18 05:39 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.233
2023-01-18 05:39 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.236
2023-01-18 05:39 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.350 s 0.260
2023-01-18 05:38 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.909 s 0.445
2023-01-18 05:39 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s 0.146
2023-01-18 05:39 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.319 s 0.363
2023-01-18 05:40 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.213
2023-01-18 05:40 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.633 s 0.128
2023-01-18 05:40 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.701 s 0.007
2023-01-18 05:41 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.161 s 0.234
2023-01-18 05:40 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.231
2023-01-18 05:41 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.190 s -0.392
2023-01-18 05:42 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.257 s 0.102
2023-01-18 05:41 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s 0.313
2023-01-18 05:41 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.508 s 0.180
2023-01-18 05:42 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.295 s 0.273
2023-01-18 05:42 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.340 s 0.347
2023-01-18 05:41 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.353 s 0.218
2023-01-18 05:42 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.292 s 0.321
2023-01-18 05:43 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.666 s 0.117
2023-01-18 05:42 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.376 s 0.270
2023-01-18 05:42 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.287
2023-01-18 05:43 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.795 s -1.099
2023-01-18 05:45 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.329
2023-01-18 05:43 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.786 s 0.105
2023-01-18 05:44 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.365 s -1.062
2023-01-18 05:47 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.260 s 0.240
2023-01-18 05:44 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.375 s -0.008
2023-01-18 05:46 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s 0.227
2023-01-18 05:47 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.331
2023-01-18 05:45 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.740 s 0.190
2023-01-18 05:46 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.297 s 0.255
2023-01-18 05:49 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.757 s -0.161
2023-01-18 05:44 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.340 s 0.263
2023-01-18 05:45 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.613 s 0.277
2023-01-18 05:48 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.243
2023-01-18 05:49 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.303 s 0.287
2023-01-18 05:44 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.715 s 0.252
2023-01-18 05:46 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.352
2023-01-18 05:50 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.255 s 0.144
2023-01-18 05:44 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.397 s 0.262
2023-01-18 05:46 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.442 s 0.178
2023-01-18 05:47 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.157 s -0.167
2023-01-18 05:47 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.966 s -0.315
2023-01-18 05:47 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.206
2023-01-18 05:49 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.260 s 0.259
2023-01-18 05:50 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.280 s -0.696
2023-01-18 05:51 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.368 s 0.010
2023-01-18 05:44 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.258
2023-01-18 05:48 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.323 s 0.068
2023-01-18 05:51 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.496 s -1.095
2023-01-18 05:46 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.374 s 0.276
2023-01-18 05:50 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.867 s 0.140
2023-01-18 05:50 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.238
2023-01-18 05:51 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.164
2023-01-18 05:48 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.656 s 0.033
2023-01-18 05:48 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.871 s 0.479
2023-01-18 05:52 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.689 s -1.592
2023-01-18 05:49 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.175
2023-01-18 05:49 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.240
2023-01-18 05:49 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.331 s 0.041
2023-01-18 05:50 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.539 s 0.092
2023-01-18 05:51 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.931 s -0.603
2023-01-18 05:52 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.193
2023-01-18 05:53 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.332 s 0.071
2023-01-18 05:53 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.613 s -0.858
2023-01-18 05:52 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.520 s -0.482
2023-01-18 05:52 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s 0.051
2023-01-18 05:53 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.430 s -0.056
2023-01-18 05:54 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.188
2023-01-18 05:53 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.438 s -1.439
2023-01-18 05:53 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.863 s -0.120
2023-01-18 05:54 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.530 s -0.395
2023-01-18 05:54 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.266 s 0.290
2023-01-18 05:54 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.199
2023-01-18 05:54 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.444 s -0.093
2023-01-18 05:54 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.336 s 0.206
2023-01-18 05:55 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.937 s 0.079
2023-01-18 05:55 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.568 s -0.406
2023-01-18 05:56 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.332
2023-01-18 05:56 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.044 s -0.520
2023-01-18 05:56 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.209 s 0.322
2023-01-18 05:56 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.280
2023-01-18 05:56 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.287 s 0.234
2023-01-18 05:56 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.243 s 0.226
2023-01-18 05:56 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.590 s 0.127
2023-01-18 05:57 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.616 s 0.160
2023-01-18 05:57 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.311
2023-01-18 05:57 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.628 s -0.443
2023-01-18 05:58 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.297
2023-01-18 05:58 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.286
2023-01-18 05:58 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s 0.312
2023-01-18 05:58 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.325 s 0.238
2023-01-18 05:58 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.880 s 0.386
2023-01-18 05:59 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.087 s 0.113
2023-01-18 05:59 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.218 s 0.216
2023-01-18 05:58 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.527 s 0.243
2023-01-18 05:59 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.268 s 0.272
2023-01-18 05:59 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.222 s 0.191
2023-01-18 05:59 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.316
2023-01-18 06:00 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.978 s 0.007
2023-01-18 05:59 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.254
2023-01-18 06:00 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.667 s 0.138
2023-01-18 06:01 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.003 s -0.351
2023-01-18 06:01 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.301
2023-01-18 06:01 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.330
2023-01-18 06:01 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.260
2023-01-18 06:01 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.540 s 0.085
2023-01-18 06:01 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.297
2023-01-18 06:01 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.176
2023-01-18 06:03 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.272 s 0.251
2023-01-18 06:02 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.484 s -1.170
2023-01-18 06:02 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.341 s -0.567
2023-01-18 06:03 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.442 s 0.016
2023-01-18 06:03 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.893 s -0.676
2023-01-18 06:03 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.239
2023-01-18 06:03 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.144
2023-01-18 06:03 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.334 s -0.179
2023-01-18 06:04 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.661 s -1.228
2023-01-18 06:05 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.558 s -2.059
2023-01-18 06:05 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.321 s 0.131
2023-01-18 06:05 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.150
2023-01-18 06:05 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s 0.089
2023-01-18 06:05 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.099
2023-01-18 06:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.025
2023-01-18 06:06 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.966 s 0.076
2023-01-18 06:06 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.605 s 0.001
2023-01-18 06:07 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s 0.017
2023-01-18 06:07 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.395 s 0.137
2023-01-18 06:07 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.067 s -0.028
2023-01-18 06:07 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.734 s -0.529
2023-01-18 06:07 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.794 s 0.061
2023-01-18 06:08 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.162 s -0.721
2023-01-18 06:08 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.867 s 0.454
2023-01-18 06:10 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.970 s -0.635
2023-01-18 06:12 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.579 s 0.191
2023-01-18 06:12 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.260
2023-01-18 06:12 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.243 s 0.227
2023-01-18 06:12 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.237
2023-01-18 06:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.262 s 0.190
2023-01-18 06:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.225 s 0.312
2023-01-18 06:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.453 s 0.157
2023-01-18 06:13 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.105
2023-01-18 06:13 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.336 s -0.205
2023-01-18 06:22 JavaScript vectorFromArray booleans 0.017 s 1.179
2023-01-18 06:22 JavaScript Iterate Vector int16Array 0.002 s 0.873
2023-01-18 06:22 JavaScript Iterate Vector float64Array 0.002 s 0.690
2023-01-18 06:22 JavaScript Spread Vector float32Array 0.008 s 0.657
2023-01-18 06:22 JavaScript Spread Vector uint32Array 0.007 s 0.172
2023-01-18 06:22 JavaScript Iterate Vector uint8Array 0.002 s 0.903
2023-01-18 06:22 JavaScript Spread Vector uint8Array 0.007 s -0.119
2023-01-18 06:22 JavaScript Iterate Vector string 0.125 s 0.777
2023-01-18 06:22 JavaScript Spread Vector numbers 0.008 s -0.743
2023-01-18 06:22 JavaScript Iterate Vector uint16Array 0.002 s -0.275
2023-01-18 06:22 JavaScript Iterate Vector int64Array 0.004 s 0.098
2023-01-18 06:22 JavaScript vectorFromArray numbers 0.016 s 0.726
2023-01-18 06:22 JavaScript vectorFromArray dictionary 0.017 s 0.213
2023-01-18 06:22 JavaScript Iterate Vector uint64Array 0.004 s 0.094
2023-01-18 06:22 JavaScript get Vector string 0.125 s -0.260
2023-01-18 06:22 JavaScript Spread Vector uint16Array 0.006 s 0.408
2023-01-18 06:22 JavaScript Spread Vector int8Array 0.006 s 1.258
2023-01-18 06:22 JavaScript Spread Vector int16Array 0.006 s 0.250
2023-01-18 06:22 JavaScript Spread Vector int64Array 0.012 s -2.367
2023-01-18 06:22 JavaScript Iterate Vector uint32Array 0.002 s 0.574
2023-01-18 06:22 JavaScript Iterate Vector float32Array 0.002 s 0.840
2023-01-18 06:22 JavaScript Iterate Vector numbers 0.002 s 0.539
2023-01-18 06:22 JavaScript Iterate Vector dictionary 0.004 s 1.230
2023-01-18 06:22 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -2.071
2023-01-18 06:22 JavaScript Iterate Vector int8Array 0.002 s 1.209
2023-01-18 06:22 JavaScript Iterate Vector int32Array 0.002 s 0.810
2023-01-18 06:22 JavaScript Iterate Vector booleans 0.004 s 0.849
2023-01-18 06:22 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.499
2023-01-18 06:22 JavaScript Spread Vector uint64Array 0.012 s -2.111
2023-01-18 06:22 JavaScript Spread Vector int32Array 0.006 s 0.958
2023-01-18 06:22 JavaScript toArray Vector int32Array
2023-01-18 06:22 JavaScript get Vector dictionary 0.002 s 0.862
2023-01-18 06:22 JavaScript toArray Vector int8Array
2023-01-18 06:22 JavaScript toArray Vector int16Array
2023-01-18 06:22 JavaScript get Vector uint32Array 0.003 s -1.271
2023-01-18 06:22 JavaScript Spread Vector string 0.146 s -0.307
2023-01-18 06:22 JavaScript get Vector int32Array 0.003 s -1.488
2023-01-18 06:22 JavaScript Spread Vector float64Array 0.008 s -0.192
2023-01-18 06:22 JavaScript Spread Vector booleans 0.010 s -0.527
2023-01-18 06:22 JavaScript Spread Vector dictionary 0.010 s -1.743
2023-01-18 06:22 JavaScript toArray Vector float64Array
2023-01-18 06:22 JavaScript get Vector uint8Array 0.003 s -2.231
2023-01-18 06:22 JavaScript toArray Vector uint8Array
2023-01-18 06:22 JavaScript toArray Vector uint32Array
2023-01-18 06:22 JavaScript toArray Vector uint64Array
2023-01-18 06:22 JavaScript toArray Vector booleans 0.010 s 0.186
2023-01-18 06:22 JavaScript get Vector uint16Array 0.003 s -0.967
2023-01-18 06:22 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.561
2023-01-18 06:22 JavaScript toArray Vector uint16Array
2023-01-18 06:22 JavaScript toArray Vector numbers
2023-01-18 06:22 JavaScript toArray Vector dictionary 0.010 s -1.901
2023-01-18 06:22 JavaScript toArray Vector int64Array
2023-01-18 06:22 JavaScript toArray Vector float32Array
2023-01-18 06:22 JavaScript toArray Vector string 0.146 s -0.120
2023-01-18 06:22 JavaScript get Vector int16Array 0.003 s -2.195
2023-01-18 06:22 JavaScript get Vector float64Array 0.002 s 1.349
2023-01-18 06:22 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.252
2023-01-18 06:22 JavaScript get Vector uint64Array 0.003 s -1.874
2023-01-18 06:22 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-18 06:22 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 06:22 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.268
2023-01-18 06:22 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -0.912
2023-01-18 06:22 JavaScript get Vector int8Array 0.003 s -1.345
2023-01-18 06:22 JavaScript get Vector int64Array 0.003 s -1.063
2023-01-18 06:22 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.183
2023-01-18 06:22 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.220
2023-01-18 06:22 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.377
2023-01-18 06:22 JavaScript get Vector float32Array 0.002 s 0.453
2023-01-18 06:22 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.213
2023-01-18 06:22 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.799
2023-01-18 06:22 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 06:22 JavaScript get Vector numbers 0.002 s 1.147
2023-01-18 06:22 JavaScript get Vector booleans 0.002 s 0.477
2023-01-18 06:22 JavaScript Parse read recordBatches, tracks 0.000 s 0.802
2023-01-18 06:22 JavaScript Parse write recordBatches, tracks 0.002 s 1.451
2023-01-18 06:22 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.375
2023-01-18 06:22 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.710
2023-01-18 06:22 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.343
2023-01-18 06:22 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.621
2023-01-18 06:22 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.628
2023-01-18 06:22 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-18 06:22 JavaScript Table tracks, 1,000,000 0.269 s 0.109
2023-01-18 06:22 JavaScript Table 1,000,000, tracks 0.270 s 0.254
2023-01-18 06:22 JavaScript Table tracks, 1,000,000 0.094 s 0.758
2023-01-18 06:22 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.289
2023-01-18 06:22 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.043
2023-01-18 06:22 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -1.773
2023-01-18 06:22 JavaScript Table tracks, 1,000,000 0.050 s 0.350