Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-13 06:52 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.990 s -0.928
2023-01-13 06:50 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.254 s 0.119
2023-01-13 06:50 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.774 s 0.662
2023-01-13 06:51 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.161 s -1.315
2023-01-13 06:52 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.119 s 0.205
2023-01-13 06:52 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.433 s 0.652
2023-01-13 06:54 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.300 s 1.358
2023-01-13 06:53 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.390 s 1.308
2023-01-13 06:55 Python dataframe-to-table type_strings 0.425 s 1.103
2023-01-13 06:55 Python dataframe-to-table chi_traffic_2020_Q1 21.209 s -0.130
2023-01-13 06:56 Python dataframe-to-table type_nested 2.979 s 0.093
2023-01-13 06:56 Python dataframe-to-table type_integers 0.010 s -1.244
2023-01-13 06:56 Python dataset-filter nyctaxi_2010-01 1.027 s -0.448
2023-01-13 06:56 Python dataframe-to-table type_dict 0.011 s 0.875
2023-01-13 06:56 Python dataframe-to-table type_floats 0.010 s 0.159
2023-01-13 07:00 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 70.825 s 1.193
2023-01-13 07:04 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.500 s 0.157
2023-01-13 07:15 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.183 s 0.112
2023-01-13 07:16 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.143 s -0.511
2023-01-13 07:15 Python dataset-read async=True, nyctaxi_multi_ipc_s3 213.879 s 1.616
2023-01-13 07:15 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.203 s -0.223
2023-01-13 07:20 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.146 s 1.162
2023-01-13 07:15 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.054 s 0.214
2023-01-13 07:16 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 0.791
2023-01-13 07:16 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.198 s 1.783
2023-01-13 07:15 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.672 s 0.162
2023-01-13 07:15 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.307 s 0.073
2023-01-13 07:15 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.316 s 0.075
2023-01-13 07:16 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.483
2023-01-13 07:16 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.928 s -2.418
2023-01-13 07:16 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.129
2023-01-13 07:16 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -1.852
2023-01-13 07:16 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.338
2023-01-13 07:15 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.196 s 0.263
2023-01-13 07:20 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.283 s -3.195
2023-01-13 07:15 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.049 s 0.208
2023-01-13 07:15 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.177 s -1.175
2023-01-13 07:17 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.521 s 0.852
2023-01-13 07:21 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.150 s 0.418
2023-01-13 07:29 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.865 s 1.038
2023-01-13 07:28 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.288 s -3.976
2023-01-13 07:28 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.184
2023-01-13 07:29 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.789
2023-01-13 07:28 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.902 s 0.983
2023-01-13 07:28 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.058
2023-01-13 07:29 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.653
2023-01-13 07:29 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.045 s -3.494
2023-01-13 07:30 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.681 s 1.005
2023-01-13 07:33 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.875 s -3.546
2023-01-13 07:33 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.401 s 1.969
2023-01-13 07:44 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.313
2023-01-13 07:34 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.407 s 0.824
2023-01-13 07:43 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.327 s 0.332
2023-01-13 07:44 Python file-read lz4, feather, table, fanniemae_2016Q4 0.813 s 0.357
2023-01-13 07:46 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.312 s -1.945
2023-01-13 07:48 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.260 s -0.076
2023-01-13 07:44 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.942 s -0.144
2023-01-13 07:44 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 1.083 s -1.562
2023-01-13 07:44 Python file-read lz4, feather, table, nyctaxi_2010-01 0.670 s 0.353
2023-01-13 07:47 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.953 s -3.360
2023-01-13 07:44 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.974 s 0.039
2023-01-13 07:44 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.360 s -0.039
2023-01-13 07:43 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.651 s -0.035
2023-01-13 07:43 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.491 s 0.052
2023-01-13 07:44 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.951 s 0.232
2023-01-13 07:43 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.161 s 1.033
2023-01-13 07:44 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.206 s 0.806
2023-01-13 07:45 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.739 s -2.422
2023-01-13 07:44 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.627 s 0.406
2023-01-13 07:48 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.456 s -1.882
2023-01-13 07:44 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.943 s -0.144
2023-01-13 07:43 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.620 s 0.098
2023-01-13 07:43 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.495 s 0.062
2023-01-13 07:49 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.217 s -0.084
2023-01-13 07:50 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.853 s 0.576
2023-01-13 07:50 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.465 s -1.848
2023-01-13 07:49 Python file-write lz4, feather, table, fanniemae_2016Q4 1.837 s -0.026
2023-01-13 07:50 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.998 s -1.692
2023-01-13 07:51 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.376 s -2.138
2023-01-13 07:51 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.877 s -2.073
2023-01-13 07:52 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.693 s -0.055
2023-01-13 07:52 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.109 s -0.073
2023-01-13 07:52 Python file-write lz4, feather, table, nyctaxi_2010-01 1.763 s 0.182
2023-01-13 07:52 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.218 s -0.218
2023-01-13 07:52 Python wide-dataframe use_legacy_dataset=false 0.511 s 0.622
2023-01-13 07:52 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.369
2023-01-13 08:04 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.353
2023-01-13 08:17 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.822 s -4.327
2023-01-13 08:03 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.237
2023-01-13 08:07 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.947 s -3.847
2023-01-13 08:20 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.174 s -0.414
2023-01-13 08:03 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.910 s -0.164
2023-01-13 08:04 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.899 s 0.289
2023-01-13 08:03 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.565 s 0.263
2023-01-13 08:12 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.129 s -1.829
2023-01-13 08:15 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.074 s -4.092
2023-01-13 08:03 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.839 s 0.310
2023-01-13 08:04 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.909 s -0.119
2023-01-13 08:04 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.808 s 0.333
2023-01-13 08:01 R dataframe-to-table type_floats, R 0.013 s 0.658
2023-01-13 08:11 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.967 s -1.253
2023-01-13 08:22 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.081 s -0.821
2023-01-13 08:01 R dataframe-to-table type_dict, R 0.051 s 1.045
2023-01-13 08:05 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.898 s -3.171
2023-01-13 08:02 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.589 s -0.814
2023-01-13 08:18 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.866 s -4.256
2023-01-13 08:02 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.328 s -0.371
2023-01-13 08:01 R dataframe-to-table type_strings, R 0.534 s 0.289
2023-01-13 08:02 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.339 s -0.872
2023-01-13 08:01 R dataframe-to-table type_integers, R 0.010 s -0.092
2023-01-13 08:02 R dataframe-to-table type_nested, R 0.573 s -0.206
2023-01-13 08:02 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.571 s -0.171
2023-01-13 08:01 R dataframe-to-table chi_traffic_2020_Q1, R 4.349 s -1.889
2023-01-13 08:13 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.348
2023-01-13 08:03 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.590 s 0.324
2023-01-13 08:04 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.578 s 0.286
2023-01-13 08:14 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.501 s -0.099
2023-01-13 08:03 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.566 s -0.271
2023-01-13 08:04 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.571 s -0.445
2023-01-13 08:10 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.361 s -3.477
2023-01-13 08:08 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.314 s -3.145
2023-01-13 08:16 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.911 s -4.117
2023-01-13 08:19 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s 0.467
2023-01-13 08:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.138
2023-01-13 08:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.107
2023-01-13 08:21 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.473 s -0.968
2023-01-13 08:22 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.597 s -1.061
2023-01-13 08:22 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.582 s -1.177
2023-01-13 08:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.190
2023-01-13 08:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.083
2023-01-13 08:22 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.250 s 0.430
2023-01-13 08:22 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.611 s -1.221
2023-01-13 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.213
2023-01-13 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.206
2023-01-13 08:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.584 s 0.001
2023-01-13 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s -0.007
2023-01-13 08:24 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 0.999 s 0.608
2023-01-13 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.128
2023-01-13 08:24 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.093
2023-01-13 08:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.860 s -0.680
2023-01-13 08:24 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.003
2023-01-13 08:24 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.129
2023-01-13 08:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.645 s 0.715
2023-01-13 08:25 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.227 s 0.215
2023-01-13 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.426 s 0.414
2023-01-13 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.048 s -0.135
2023-01-13 08:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.188
2023-01-13 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.268 s 0.265
2023-01-13 08:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.302 s 0.057
2023-01-13 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.196
2023-01-13 08:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.902 s -0.037
2023-01-13 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.578 s 0.355
2023-01-13 08:27 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.242 s 0.212
2023-01-13 08:27 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.241
2023-01-13 08:27 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.235
2023-01-13 08:27 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.452 s 0.345
2023-01-13 08:27 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.223
2023-01-13 08:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s 0.303
2023-01-13 08:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s 0.308
2023-01-13 08:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.531 s 0.376
2023-01-13 08:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.179 s -0.742
2023-01-13 08:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.922 s -0.306
2023-01-13 08:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.194 s -0.140
2023-01-13 08:29 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s 0.284
2023-01-13 08:29 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.259 s 0.273
2023-01-13 08:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.875 s 0.455
2023-01-13 08:39 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.099
2023-01-13 08:44 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.214 s 0.036
2023-01-13 08:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.231
2023-01-13 08:49 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.229
2023-01-13 08:29 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.349 s 0.242
2023-01-13 08:29 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.321 s 0.123
2023-01-13 08:32 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.418 s -0.927
2023-01-13 08:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.236 s 0.018
2023-01-13 08:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.528 s -1.293
2023-01-13 08:46 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.207 s 0.287
2023-01-13 08:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.031 s 0.416
2023-01-13 09:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.078
2023-01-13 08:30 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.196
2023-01-13 08:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.260
2023-01-13 08:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.320 s 0.266
2023-01-13 08:39 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.216
2023-01-13 08:46 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.251 s 0.272
2023-01-13 08:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.327 s 0.086
2023-01-13 08:34 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.332 s 0.222
2023-01-13 08:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.612 s 0.180
2023-01-13 08:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.229
2023-01-13 08:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.653 s 0.038
2023-01-13 08:29 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.264 s 0.250
2023-01-13 08:30 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.268
2023-01-13 08:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.730 s -0.152
2023-01-13 08:39 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.696 s 0.119
2023-01-13 08:34 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.167
2023-01-13 08:37 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.185
2023-01-13 08:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s 0.312
2023-01-13 08:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.426 s -0.230
2023-01-13 08:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.156
2023-01-13 08:29 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.634 s 0.219
2023-01-13 08:40 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.578 s -7.026
2023-01-13 08:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.334 s 0.147
2023-01-13 08:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.673 s 0.337
2023-01-13 08:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.364 s -3.401
2023-01-13 08:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.408 s -2.187
2023-01-13 08:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.715 s 0.118
2023-01-13 08:39 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.303 s 0.236
2023-01-13 08:46 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.284 s 0.205
2023-01-13 08:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.317
2023-01-13 08:34 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.180
2023-01-13 08:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.320
2023-01-13 08:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.766 s 0.266
2023-01-13 08:32 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.293 s 0.216
2023-01-13 08:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.058 s 0.313
2023-01-13 08:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.258 s 0.244
2023-01-13 08:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.302 s -0.014
2023-01-13 08:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.329 s 0.198
2023-01-13 08:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.579 s 0.264
2023-01-13 08:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.662 s 0.092
2023-01-13 08:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.222 s 0.179
2023-01-13 08:34 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.392 s 0.257
2023-01-13 08:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.248
2023-01-13 08:40 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.532 s 0.210
2023-01-13 08:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.359 s 0.381
2023-01-13 08:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.861 s -0.754
2023-01-13 08:44 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.265 s 0.170
2023-01-13 08:46 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.187
2023-01-13 08:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.630 s 0.198
2023-01-13 08:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.333 s -0.266
2023-01-13 08:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.910 s -4.607
2023-01-13 08:44 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.072
2023-01-13 08:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.206 s -1.157
2023-01-13 08:32 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.337 s 0.344
2023-01-13 08:37 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.297
2023-01-13 08:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.474 s 0.141
2023-01-13 08:42 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.526 s 0.561
2023-01-13 08:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.440 s -0.057
2023-01-13 08:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.704 s 0.485
2023-01-13 08:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.279
2023-01-13 08:51 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.191
2023-01-13 08:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.888 s -0.312
2023-01-13 08:34 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.368 s 0.218
2023-01-13 08:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.280
2023-01-13 08:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.286 s 0.221
2023-01-13 08:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.325 s 0.242
2023-01-13 09:12 JavaScript Iterate Vector string 0.126 s 0.331
2023-01-13 08:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.500 s 0.333
2023-01-13 08:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.618 s -0.068
2023-01-13 08:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.605 s -0.060
2023-01-13 09:02 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.622 s -0.426
2023-01-13 08:32 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.290 s 0.232
2023-01-13 08:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.270
2023-01-13 08:37 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.955 s 0.172
2023-01-13 08:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.875 s 0.020
2023-01-13 08:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.932 s -0.045
2023-01-13 09:02 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.324 s -4.092
2023-01-13 08:33 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.655 s 0.227
2023-01-13 08:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.782 s 0.115
2023-01-13 08:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.438 s 0.307
2023-01-13 08:39 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.192
2023-01-13 08:42 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.094 s 0.453
2023-01-13 08:49 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.266 s 0.235
2023-01-13 08:49 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.320 s 0.230
2023-01-13 08:55 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.944 s 0.457
2023-01-13 08:57 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.312
2023-01-13 08:57 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.732 s -0.697
2023-01-13 08:57 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.891 s -1.368
2023-01-13 08:42 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.107
2023-01-13 08:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.887 s -0.097
2023-01-13 08:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.662 s 0.268
2023-01-13 08:55 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s 0.181
2023-01-13 09:02 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.051
2023-01-13 08:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.159
2023-01-13 08:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.589 s 0.266
2023-01-13 08:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.220 s 0.152
2023-01-13 08:57 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.795 s -0.163
2023-01-13 09:12 JavaScript toArray Vector int16Array
2023-01-13 08:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.440 s -0.020
2023-01-13 08:54 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.622 s -0.695
2023-01-13 08:55 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.185
2023-01-13 08:55 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.370 s 0.250
2023-01-13 08:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.144 s -1.652
2023-01-13 08:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.298 s 0.144
2023-01-13 09:12 JavaScript vectorFromArray numbers 0.016 s 0.168
2023-01-13 09:12 JavaScript toArray Vector float64Array
2023-01-13 08:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.582 s -1.234
2023-01-13 08:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.921 s 0.836
2023-01-13 08:52 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.272 s 0.077
2023-01-13 08:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.084
2023-01-13 08:46 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.200
2023-01-13 08:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.540 s 0.116
2023-01-13 08:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.524 s 0.266
2023-01-13 08:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.211
2023-01-13 08:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.318 s 0.166
2023-01-13 08:55 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.188
2023-01-13 09:00 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.818 s -0.311
2023-01-13 09:02 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.248 s -3.660
2023-01-13 09:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.381 s -4.914
2023-01-13 09:12 JavaScript Iterate Vector uint16Array 0.002 s -0.317
2023-01-13 09:12 JavaScript get Vector uint32Array 0.003 s -0.021
2023-01-13 08:49 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.140
2023-01-13 08:49 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.178
2023-01-13 08:51 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.283
2023-01-13 08:52 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.237 s 0.110
2023-01-13 08:57 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.449 s 0.097
2023-01-13 09:12 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -3.679
2023-01-13 09:12 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.601
2023-01-13 08:51 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.541 s -0.230
2023-01-13 09:12 JavaScript Spread Vector float32Array 0.008 s -1.739
2023-01-13 09:12 JavaScript Spread Vector numbers 0.008 s -2.620
2023-01-13 08:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.019 s -0.113
2023-01-13 09:12 JavaScript vectorFromArray dictionary 0.017 s -0.467
2023-01-13 09:12 JavaScript Iterate Vector uint64Array 0.004 s 0.153
2023-01-13 08:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.443 s 0.330
2023-01-13 08:55 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.130
2023-01-13 09:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.448 s 0.266
2023-01-13 09:12 JavaScript Iterate Vector int32Array 0.002 s -0.019
2023-01-13 09:12 JavaScript get Vector int64Array 0.003 s -0.163
2023-01-13 09:12 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.212
2023-01-13 09:12 JavaScript toArray Vector int8Array
2023-01-13 09:12 JavaScript get Vector uint8Array 0.003 s -0.006
2023-01-13 09:12 JavaScript get Vector float32Array 0.002 s 1.089
2023-01-13 09:12 JavaScript Iterate Vector int8Array 0.002 s 0.085
2023-01-13 09:12 JavaScript Iterate Vector float32Array 0.002 s 0.501
2023-01-13 09:12 JavaScript Spread Vector int64Array 0.012 s 0.216
2023-01-13 09:12 JavaScript toArray Vector uint64Array
2023-01-13 09:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.241 s -0.654
2023-01-13 09:12 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.221
2023-01-13 09:12 JavaScript Spread Vector int16Array 0.007 s -3.408
2023-01-13 09:12 JavaScript Spread Vector string 0.145 s 0.224
2023-01-13 09:12 JavaScript toArray Vector uint16Array
2023-01-13 09:12 JavaScript toArray Vector booleans 0.010 s -2.378
2023-01-13 09:12 JavaScript get Vector uint16Array 0.003 s -0.103
2023-01-13 09:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.270 s 0.416
2023-01-13 09:12 JavaScript Spread Vector float64Array 0.008 s -1.796
2023-01-13 09:12 JavaScript toArray Vector int64Array
2023-01-13 09:12 JavaScript get Vector uint64Array 0.003 s -0.049
2023-01-13 09:12 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.893
2023-01-13 09:12 JavaScript vectorFromArray booleans 0.019 s -6.187
2023-01-13 09:12 JavaScript Iterate Vector uint8Array 0.002 s 0.373
2023-01-13 09:12 JavaScript Iterate Vector uint32Array 0.002 s -0.005
2023-01-13 09:12 JavaScript Iterate Vector numbers 0.002 s 0.482
2023-01-13 09:12 JavaScript Spread Vector uint64Array 0.012 s -0.060
2023-01-13 09:12 JavaScript Spread Vector booleans 0.010 s -3.727
2023-01-13 09:12 JavaScript Iterate Vector int16Array 0.002 s -0.137
2023-01-13 09:12 JavaScript Iterate Vector float64Array 0.002 s 0.130
2023-01-13 09:12 JavaScript Iterate Vector booleans 0.004 s 1.112
2023-01-13 09:12 JavaScript Iterate Vector int64Array 0.004 s 0.188
2023-01-13 09:12 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.276
2023-01-13 09:12 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.393
2023-01-13 09:12 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 2.014
2023-01-13 09:12 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.367
2023-01-13 09:12 JavaScript Iterate Vector dictionary 0.004 s 1.322
2023-01-13 09:12 JavaScript Spread Vector uint8Array 0.007 s -3.184
2023-01-13 09:12 JavaScript Parse write recordBatches, tracks 0.002 s 0.827
2023-01-13 09:12 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.471
2023-01-13 09:12 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.277
2023-01-13 09:12 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s 0.380
2023-01-13 09:12 JavaScript Spread Vector uint16Array 0.007 s -2.527
2023-01-13 09:12 JavaScript Spread Vector uint32Array 0.007 s -3.047
2023-01-13 09:12 JavaScript Spread Vector int32Array 0.007 s -2.413
2023-01-13 09:12 JavaScript get Vector int32Array 0.003 s -0.149
2023-01-13 09:12 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.528
2023-01-13 09:12 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-13 09:12 JavaScript Spread Vector int8Array 0.007 s -2.366
2023-01-13 09:12 JavaScript Spread Vector dictionary 0.010 s -1.463
2023-01-13 09:12 JavaScript toArray Vector uint8Array
2023-01-13 09:12 JavaScript toArray Vector uint32Array
2023-01-13 09:12 JavaScript toArray Vector int32Array
2023-01-13 09:12 JavaScript toArray Vector float32Array
2023-01-13 09:12 JavaScript toArray Vector numbers
2023-01-13 09:12 JavaScript toArray Vector string 0.147 s -0.567
2023-01-13 09:12 JavaScript toArray Vector dictionary 0.010 s -1.572
2023-01-13 09:12 JavaScript get Vector int8Array 0.003 s 0.059
2023-01-13 09:12 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.870
2023-01-13 09:12 JavaScript get Vector int16Array 0.003 s -0.185
2023-01-13 09:12 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-13 09:12 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 09:12 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.329
2023-01-13 09:12 JavaScript get Vector float64Array 0.002 s 1.277
2023-01-13 09:12 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.326
2023-01-13 09:12 JavaScript get Vector numbers 0.002 s 0.076
2023-01-13 09:12 JavaScript get Vector dictionary 0.002 s 0.337
2023-01-13 09:12 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.256
2023-01-13 09:12 JavaScript get Vector booleans 0.002 s 0.272
2023-01-13 09:12 JavaScript get Vector string 0.125 s -0.498
2023-01-13 09:12 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -1.430
2023-01-13 09:12 JavaScript Table tracks, 1,000,000 0.257 s 0.609
2023-01-13 09:12 JavaScript Parse read recordBatches, tracks 0.000 s -0.547
2023-01-13 09:12 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 09:12 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.190 s -0.766
2023-01-13 09:12 JavaScript Table tracks, 1,000,000 0.050 s 1.264
2023-01-13 09:12 JavaScript Table 1,000,000, tracks 0.247 s 1.168
2023-01-13 09:12 JavaScript Table tracks, 1,000,000 0.096 s -0.674