Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-15 09:40 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.822 s -2.975
2023-01-15 09:40 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.771 s -3.620
2023-01-15 09:41 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.086 s -1.140
2023-01-15 09:42 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.447 s -1.195
2023-01-15 09:41 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.061 s -1.190
2023-01-15 09:42 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.110 s 0.317
2023-01-15 09:43 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.527 s 1.100
2023-01-15 09:43 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.420 s 1.190
2023-01-15 09:45 Python dataframe-to-table chi_traffic_2020_Q1 20.853 s 1.531
2023-01-15 09:45 Python dataframe-to-table type_dict 0.011 s 0.314
2023-01-15 09:45 Python dataframe-to-table type_strings 0.433 s -2.117
2023-01-15 09:45 Python dataframe-to-table type_floats 0.010 s 0.144
2023-01-15 09:45 Python dataframe-to-table type_nested 2.966 s 0.352
2023-01-15 09:45 Python dataframe-to-table type_integers 0.010 s 0.563
2023-01-15 09:46 Python dataset-filter nyctaxi_2010-01 1.025 s -0.212
2023-01-15 09:50 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 95.670 s -1.741
2023-01-15 09:55 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.275 s 0.393
2023-01-15 10:06 Python dataset-read async=True, nyctaxi_multi_ipc_s3 229.043 s -1.220
2023-01-15 10:06 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.199 s 0.861
2023-01-15 10:06 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.196 s 0.035
2023-01-15 10:07 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.244 s -0.073
2023-01-15 10:07 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.036 s 0.253
2023-01-15 10:07 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.304 s 0.172
2023-01-15 10:07 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.208 s -0.251
2023-01-15 10:07 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.034 s 0.247
2023-01-15 10:07 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.679 s 0.171
2023-01-15 10:07 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.176 s -0.790
2023-01-15 10:07 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.135 s -0.067
2023-01-15 10:08 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.194
2023-01-15 10:08 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 1.002
2023-01-15 10:07 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -1.511
2023-01-15 10:08 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 0.778
2023-01-15 10:08 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.934 s -2.228
2023-01-15 10:08 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.265
2023-01-15 10:09 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.533 s 0.600
2023-01-15 10:08 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.825
2023-01-15 10:12 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.332 s -2.383
2023-01-15 10:13 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.155 s -1.527
2023-01-15 10:12 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.152 s -0.876
2023-01-15 10:20 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.037 s 0.681
2023-01-15 10:20 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.288 s -2.100
2023-01-15 10:20 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.436
2023-01-15 10:20 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.125
2023-01-15 10:21 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.866 s 0.722
2023-01-15 10:21 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.227 s -1.650
2023-01-15 10:21 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.049 s -2.078
2023-01-15 10:21 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.226 s -1.395
2023-01-15 10:22 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.691 s 0.888
2023-01-15 10:25 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.896 s -2.040
2023-01-15 10:25 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.414 s -2.316
2023-01-15 10:26 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.416 s -1.826
2023-01-15 10:35 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.672 s -0.454
2023-01-15 10:35 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.503 s -0.118
2023-01-15 10:35 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.247 s 0.979
2023-01-15 10:35 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.725 s -0.781
2023-01-15 10:36 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.621 s 0.372
2023-01-15 10:36 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.992 s -0.111
2023-01-15 10:35 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.318 s 0.345
2023-01-15 10:36 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.945 s -0.093
2023-01-15 10:36 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.212 s 0.471
2023-01-15 10:39 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.889 s -1.672
2023-01-15 10:35 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.516 s -0.368
2023-01-15 10:38 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.227 s -1.114
2023-01-15 10:37 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.720 s -1.689
2023-01-15 10:41 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.331 s -0.126
2023-01-15 10:55 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.573 s -0.098
2023-01-15 10:56 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.569 s -0.290
2023-01-15 10:36 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.930 s 0.355
2023-01-15 10:37 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.329
2023-01-15 10:37 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.331 s 0.321
2023-01-15 10:40 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.457 s -1.552
2023-01-15 10:37 Python file-read lz4, feather, table, nyctaxi_2010-01 0.675 s 0.298
2023-01-15 10:53 R dataframe-to-table chi_traffic_2020_Q1, R 4.241 s 0.317
2023-01-15 10:53 R dataframe-to-table type_dict, R 0.046 s 1.327
2023-01-15 10:54 R dataframe-to-table type_floats, R 0.013 s 0.633
2023-01-15 10:36 Python file-read lz4, feather, table, fanniemae_2016Q4 0.813 s 0.322
2023-01-15 10:36 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.975 s 0.091
2023-01-15 10:41 Python file-write lz4, feather, table, fanniemae_2016Q4 1.841 s 0.167
2023-01-15 10:53 R dataframe-to-table type_strings, R 0.532 s 0.796
2023-01-15 10:54 R dataframe-to-table type_nested, R 0.572 s 0.326
2023-01-15 11:01 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.269 s -1.690
2023-01-15 11:08 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.769 s -0.904
2023-01-15 10:36 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.933 s 0.083
2023-01-15 10:44 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.141 s 0.002
2023-01-15 10:44 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.166 s 0.346
2023-01-15 10:54 R dataframe-to-table type_integers, R 0.010 s 0.586
2023-01-15 10:54 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.320 s -0.027
2023-01-15 10:56 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.912 s -0.100
2023-01-15 10:57 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.899 s 0.282
2023-01-15 10:40 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.471 s -0.282
2023-01-15 10:43 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.401 s -1.086
2023-01-15 10:44 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.288 s -1.139
2023-01-15 10:44 Python wide-dataframe use_legacy_dataset=false 0.517 s -0.060
2023-01-15 10:55 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.318 s -0.015
2023-01-15 10:55 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.595 s 0.291
2023-01-15 10:56 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.811 s 0.333
2023-01-15 10:58 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.875 s -1.843
2023-01-15 10:55 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.313 s 0.228
2023-01-15 11:06 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.465 s 0.746
2023-01-15 11:12 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.159 s 0.260
2023-01-15 10:42 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.843 s 0.733
2023-01-15 10:43 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.815 s -1.304
2023-01-15 10:44 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.768 s -0.152
2023-01-15 10:44 Python file-write lz4, feather, table, nyctaxi_2010-01 1.797 s -0.034
2023-01-15 10:44 Python wide-dataframe use_legacy_dataset=true 0.379 s 0.025
2023-01-15 10:55 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.851 s 0.222
2023-01-15 10:56 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.214 s 0.336
2023-01-15 10:57 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.576 s 0.306
2023-01-15 11:00 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.818 s -1.630
2023-01-15 11:05 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.493 s -0.199
2023-01-15 10:42 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.992 s -1.496
2023-01-15 10:54 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.566 s 0.107
2023-01-15 11:02 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.247 s -1.422
2023-01-15 10:56 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.566 s -0.169
2023-01-15 10:56 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.912 s -0.112
2023-01-15 11:14 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.593 s -0.723
2023-01-15 11:16 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.591 s -0.375
2023-01-15 11:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.665 s -1.469
2023-01-15 11:18 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.586 s 0.078
2023-01-15 10:55 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.564 s 0.277
2023-01-15 11:03 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.960 s -0.117
2023-01-15 11:15 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.603 s -0.308
2023-01-15 11:16 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.003 s 0.205
2023-01-15 11:21 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.926 s -0.467
2023-01-15 11:23 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.667 s -2.680
2023-01-15 11:24 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.288
2023-01-15 11:07 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.989 s -1.432
2023-01-15 11:11 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.725 s -0.862
2023-01-15 11:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.119
2023-01-15 11:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s 0.263
2023-01-15 11:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.302 s 0.044
2023-01-15 11:19 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.533 s -0.252
2023-01-15 11:22 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.480 s -4.027
2023-01-15 11:11 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.306 s 1.477
2023-01-15 11:13 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.474 s -1.244
2023-01-15 11:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.193
2023-01-15 11:27 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.784 s 0.126
2023-01-15 11:05 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.016 s 0.520
2023-01-15 11:10 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.722 s -1.433
2023-01-15 11:14 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.567 s -0.317
2023-01-15 11:15 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.212
2023-01-15 11:20 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.277 s -0.295
2023-01-15 11:28 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.626 s -0.742
2023-01-15 11:30 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.331 s -1.581
2023-01-15 11:14 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.053 s 0.700
2023-01-15 11:17 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.114
2023-01-15 11:19 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.901 s -0.043
2023-01-15 11:21 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.198
2023-01-15 11:21 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.390 s -2.216
2023-01-15 11:24 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s 0.345
2023-01-15 11:15 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.170
2023-01-15 11:18 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.064 s -0.841
2023-01-15 11:20 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.243 s 0.240
2023-01-15 11:20 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s 0.316
2023-01-15 11:15 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.251 s 0.141
2023-01-15 11:17 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.000
2023-01-15 11:18 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.208
2023-01-15 11:18 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.211
2023-01-15 11:20 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.234 s 0.218
2023-01-15 11:20 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.202 s 0.189
2023-01-15 11:24 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.285 s -3.047
2023-01-15 11:25 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.288
2023-01-15 11:26 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.352 s 0.182
2023-01-15 11:28 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s 0.254
2023-01-15 11:15 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.199 s 0.241
2023-01-15 11:15 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.201 s 0.187
2023-01-15 11:15 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.043
2023-01-15 11:17 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.156
2023-01-15 11:21 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.307 s -1.957
2023-01-15 11:22 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.356 s -2.103
2023-01-15 11:25 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s 0.200
2023-01-15 11:25 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.354 s 0.165
2023-01-15 11:26 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.292 s 0.319
2023-01-15 11:16 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.853 s -0.494
2023-01-15 11:17 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s 0.275
2023-01-15 11:18 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.302 s 0.228
2023-01-15 11:24 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.214 s -2.811
2023-01-15 11:24 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.161 s 0.224
2023-01-15 11:26 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.373 s 0.283
2023-01-15 11:27 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.653 s -0.419
2023-01-15 11:30 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.472 s -2.227
2023-01-15 11:32 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.252
2023-01-15 11:19 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.199 s 0.267
2023-01-15 11:21 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.202 s -0.217
2023-01-15 11:27 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.340 s 0.183
2023-01-15 11:28 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.371 s 0.112
2023-01-15 11:31 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.165 s -0.461
2023-01-15 11:32 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.299 s 0.282
2023-01-15 11:34 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.305 s 0.210
2023-01-15 11:36 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.681 s -4.062
2023-01-15 11:36 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.153
2023-01-15 11:22 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.788 s -4.639
2023-01-15 11:23 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 4.023 s -5.000
2023-01-15 11:25 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.284 s -0.420
2023-01-15 11:26 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.341 s 0.298
2023-01-15 11:26 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.661 s 0.110
2023-01-15 11:27 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.396 s 0.208
2023-01-15 11:29 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.307 s -1.311
2023-01-15 11:38 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.447 s -4.149
2023-01-15 11:38 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.519 s -0.731
2023-01-15 11:38 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.267 s 0.224
2023-01-15 11:27 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.208
2023-01-15 11:27 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.202
2023-01-15 11:31 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.216
2023-01-15 11:32 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.320 s 0.293
2023-01-15 11:37 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.865 s -0.548
2023-01-15 11:45 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.708 s -2.551
2023-01-15 11:48 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.511 s -2.340
2023-01-15 11:50 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.346 s -0.695
2023-01-15 11:50 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.674 s -2.815
2023-01-15 11:29 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 4.224 s -3.830
2023-01-15 11:29 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.447 s -3.239
2023-01-15 11:31 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.975 s -1.032
2023-01-15 11:33 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.228
2023-01-15 11:34 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.541 s -0.015
2023-01-15 11:37 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.430 s -0.327
2023-01-15 11:38 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.163
2023-01-15 11:39 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.443 s -0.099
2023-01-15 11:40 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.241
2023-01-15 11:41 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.237
2023-01-15 11:30 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.490 s -3.359
2023-01-15 11:30 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s 0.210
2023-01-15 11:33 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.180
2023-01-15 11:41 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.589 s 0.065
2023-01-15 11:46 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.865 s -3.655
2023-01-15 11:49 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.537 s -4.304
2023-01-15 11:59 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.262 s 0.196
2023-01-15 11:33 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.207
2023-01-15 11:34 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.876 s -0.677
2023-01-15 11:35 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.283
2023-01-15 11:35 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.923 s -0.772
2023-01-15 11:38 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.101
2023-01-15 11:41 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.621 s -0.740
2023-01-15 11:42 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.258
2023-01-15 11:42 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.883 s 0.128
2023-01-15 11:43 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.277 s -2.251
2023-01-15 11:44 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.294 s -3.162
2023-01-15 11:44 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.317 s -2.596
2023-01-15 11:46 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.286
2023-01-15 11:33 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.760 s -0.298
2023-01-15 11:34 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.331 s 0.038
2023-01-15 11:34 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.269 s -0.910
2023-01-15 11:37 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.614 s -1.599
2023-01-15 11:39 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.335 s 0.179
2023-01-15 11:44 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.446 s -3.690
2023-01-15 11:46 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.247
2023-01-15 11:35 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.497 s -2.266
2023-01-15 11:46 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.226
2023-01-15 11:49 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.476 s -2.220
2023-01-15 11:51 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.054
2023-01-15 11:52 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.289 s 0.063
2023-01-15 12:08 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.190 s -0.659
2023-01-15 11:32 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.258 s 0.243
2023-01-15 11:35 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.203
2023-01-15 11:35 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.077
2023-01-15 11:36 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.577 s -1.178
2023-01-15 11:37 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s -0.092
2023-01-15 11:42 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.285 s 0.232
2023-01-15 11:42 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.328 s 0.040
2023-01-15 11:46 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.200
2023-01-15 11:52 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.975 s -0.123
2023-01-15 11:53 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.082 s -0.241
2023-01-15 11:53 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.278
2023-01-15 11:53 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.453 s -0.041
2023-01-15 11:32 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.650 s 0.202
2023-01-15 11:33 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.870 s 0.644
2023-01-15 11:35 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.368 s -0.063
2023-01-15 11:39 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.941 s -0.063
2023-01-15 11:42 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.238 s 0.243
2023-01-15 11:42 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.222 s 0.227
2023-01-15 11:42 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.527 s 0.149
2023-01-15 11:43 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.378 s -3.520
2023-01-15 11:47 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.409 s -0.229
2023-01-15 11:47 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.686 s -5.857
2023-01-15 11:50 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.900 s -1.775
2023-01-15 11:37 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s -0.111
2023-01-15 11:39 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.578 s -0.901
2023-01-15 11:40 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.009 s -0.679
2023-01-15 11:40 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.215
2023-01-15 11:41 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.623 s -0.331
2023-01-15 11:45 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.144 s -3.105
2023-01-15 11:52 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.151
2023-01-15 11:53 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.735 s -0.742
2023-01-15 11:59 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.228 s 0.182
2023-01-15 11:40 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.207 s 0.332
2023-01-15 11:40 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s 0.310
2023-01-15 11:43 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.569 s -4.355
2023-01-15 11:48 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.649 s -5.028
2023-01-15 11:52 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.607 s -0.199
2023-01-15 11:56 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.154 s -3.117
2023-01-15 11:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.294 s -3.224
2023-01-15 11:48 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.313 s -2.489
2023-01-15 11:49 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.419 s -3.295
2023-01-15 11:51 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.467 s -2.538
2023-01-15 11:51 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.106
2023-01-15 11:51 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.322 s 0.077
2023-01-15 11:54 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.907 s -1.942
2023-01-15 11:54 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.168 s -1.605
2023-01-15 11:53 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.799 s -0.166
2023-01-15 11:59 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.244 s 0.155
2023-01-15 12:08 JavaScript vectorFromArray numbers 0.017 s -1.189
2023-01-15 12:08 JavaScript Iterate Vector uint64Array 0.005 s -0.375
2023-01-15 12:08 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.561
2023-01-15 12:00 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.320 s -0.082
2023-01-15 12:08 JavaScript vectorFromArray booleans 0.018 s 0.248
2023-01-15 12:08 JavaScript Iterate Vector uint32Array 0.002 s 0.682
2023-01-15 11:59 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.220
2023-01-15 12:08 JavaScript Iterate Vector int32Array 0.002 s 0.500
2023-01-15 12:08 JavaScript Spread Vector uint8Array 0.006 s 0.420
2023-01-15 12:08 JavaScript toArray Vector uint64Array
2023-01-15 11:58 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.113
2023-01-15 12:08 JavaScript Iterate Vector uint16Array 0.002 s 0.670
2023-01-15 12:08 JavaScript toArray Vector numbers
2023-01-15 11:59 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.312 s -0.044
2023-01-15 12:08 JavaScript vectorFromArray dictionary 0.017 s -0.410
2023-01-15 12:08 JavaScript Iterate Vector string 0.125 s 0.880
2023-01-15 12:08 JavaScript Spread Vector uint64Array 0.012 s -0.179
2023-01-15 12:08 JavaScript Spread Vector int16Array 0.007 s 0.044
2023-01-15 12:08 JavaScript toArray Vector float64Array
2023-01-15 11:59 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.452 s 0.152
2023-01-15 12:08 JavaScript Iterate Vector int16Array 0.002 s 0.697
2023-01-15 12:08 JavaScript Iterate Vector int64Array 0.004 s -0.224
2023-01-15 12:08 JavaScript Spread Vector float64Array 0.008 s 0.688
2023-01-15 12:08 JavaScript Spread Vector booleans 0.010 s -0.166
2023-01-15 12:08 JavaScript Spread Vector int64Array 0.012 s -0.150
2023-01-15 12:08 JavaScript toArray Vector booleans 0.010 s -0.084
2023-01-15 12:08 JavaScript toArray Vector string 0.153 s -4.395
2023-01-15 12:08 JavaScript get Vector uint64Array 0.003 s 0.016
2023-01-15 12:08 JavaScript Iterate Vector uint8Array 0.002 s 1.794
2023-01-15 12:08 JavaScript Spread Vector dictionary 0.010 s 0.582
2023-01-15 12:08 JavaScript Parse read recordBatches, tracks 0.000 s 0.405
2023-01-15 12:08 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.464
2023-01-15 12:08 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.811
2023-01-15 12:08 JavaScript Iterate Vector float32Array 0.002 s 0.159
2023-01-15 12:08 JavaScript Spread Vector float32Array 0.008 s 0.876
2023-01-15 12:08 JavaScript toArray Vector uint8Array
2023-01-15 12:08 JavaScript toArray Vector int8Array
2023-01-15 12:08 JavaScript toArray Vector float32Array
2023-01-15 12:08 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.023
2023-01-15 12:08 JavaScript Iterate Vector int8Array 0.002 s 0.467
2023-01-15 12:08 JavaScript Iterate Vector dictionary 0.004 s -1.098
2023-01-15 12:08 JavaScript toArray Vector uint32Array
2023-01-15 12:08 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.422
2023-01-15 12:08 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.747
2023-01-15 12:08 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 12:08 JavaScript Iterate Vector float64Array 0.002 s 0.738
2023-01-15 12:08 JavaScript Spread Vector string 0.155 s -5.787
2023-01-15 12:08 JavaScript toArray Vector uint16Array
2023-01-15 12:08 JavaScript toArray Vector int16Array
2023-01-15 12:08 JavaScript toArray Vector int64Array
2023-01-15 12:08 JavaScript get Vector booleans 0.002 s 0.711
2023-01-15 12:08 JavaScript get Vector string 0.123 s 1.145
2023-01-15 12:08 JavaScript Iterate Vector numbers 0.002 s 0.721
2023-01-15 12:08 JavaScript Spread Vector int8Array 0.006 s 0.645
2023-01-15 12:08 JavaScript toArray Vector int32Array
2023-01-15 12:08 JavaScript toArray Vector dictionary 0.010 s 0.444
2023-01-15 12:08 JavaScript get Vector uint8Array 0.003 s 0.075
2023-01-15 12:08 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.794
2023-01-15 12:08 JavaScript Iterate Vector booleans 0.004 s 0.877
2023-01-15 12:08 JavaScript Spread Vector uint16Array 0.006 s 0.046
2023-01-15 12:08 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.180
2023-01-15 12:08 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.847
2023-01-15 12:08 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 12:08 JavaScript Table tracks, 1,000,000 0.290 s -0.925
2023-01-15 12:08 JavaScript Table tracks, 1,000,000 0.095 s 0.070
2023-01-15 12:08 JavaScript Spread Vector uint32Array 0.007 s 0.846
2023-01-15 12:08 JavaScript Spread Vector int32Array 0.006 s 0.585
2023-01-15 12:08 JavaScript Spread Vector numbers 0.008 s 1.054
2023-01-15 12:08 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-15 12:08 JavaScript get Vector uint16Array 0.003 s 0.044
2023-01-15 12:08 JavaScript get Vector float64Array 0.002 s 0.979
2023-01-15 12:08 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.521
2023-01-15 12:08 JavaScript get Vector uint32Array 0.003 s 0.081
2023-01-15 12:08 JavaScript get Vector int32Array 0.003 s 0.102
2023-01-15 12:08 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.595
2023-01-15 12:08 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.075
2023-01-15 12:08 JavaScript Table tracks, 1,000,000 0.051 s -4.157
2023-01-15 12:08 JavaScript Table 1,000,000, tracks 0.301 s -1.110
2023-01-15 12:08 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.447
2023-01-15 12:08 JavaScript get Vector int8Array 0.003 s 0.058
2023-01-15 12:08 JavaScript get Vector float32Array 0.002 s 1.136
2023-01-15 12:08 JavaScript get Vector numbers 0.002 s 0.207
2023-01-15 12:08 JavaScript get Vector dictionary 0.002 s -1.136
2023-01-15 12:08 JavaScript get Vector int16Array 0.003 s 0.081
2023-01-15 12:08 JavaScript get Vector int64Array 0.003 s -0.035
2023-01-15 12:08 JavaScript Parse write recordBatches, tracks 0.002 s -0.546
2023-01-15 12:08 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.236
2023-01-15 12:08 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.408
2023-01-15 12:08 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.192 s -1.779
2023-01-15 12:08 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.386
2023-01-15 12:08 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-15 12:08 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.780