Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-13 09:39 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.776 s 0.537
2023-01-13 09:39 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.245 s 0.194
2023-01-13 09:40 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.053 s -0.985
2023-01-13 09:41 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.433 s 0.620
2023-01-13 09:41 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.115 s 0.240
2023-01-13 09:41 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.160 s -1.465
2023-01-13 09:42 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.385 s 1.317
2023-01-13 09:42 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.327 s 1.297
2023-01-13 09:44 Python dataframe-to-table type_integers 0.010 s 1.264
2023-01-13 09:45 Python dataframe-to-table type_nested 2.988 s -0.239
2023-01-13 09:44 Python dataframe-to-table chi_traffic_2020_Q1 21.158 s 0.126
2023-01-13 09:53 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 84.266 s -0.673
2023-01-13 09:44 Python dataframe-to-table type_dict 0.011 s 0.485
2023-01-13 09:45 Python dataset-filter nyctaxi_2010-01 1.024 s -0.372
2023-01-13 09:49 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 82.215 s -0.157
2023-01-13 09:44 Python dataframe-to-table type_strings 0.423 s 1.793
2023-01-13 09:45 Python dataframe-to-table type_floats 0.010 s 0.076
2023-01-13 10:06 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.203 s -0.228
2023-01-13 10:05 Python dataset-read async=True, nyctaxi_multi_ipc_s3 227.312 s -0.948
2023-01-13 10:05 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.196 s 0.265
2023-01-13 10:05 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.305 s 0.089
2023-01-13 10:06 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.142 s -0.465
2023-01-13 10:06 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.489
2023-01-13 10:06 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.003
2023-01-13 10:05 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.158 s 0.289
2023-01-13 10:05 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.014 s 0.317
2023-01-13 10:05 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.019 s 0.298
2023-01-13 10:06 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.659 s 0.197
2023-01-13 10:05 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.295 s 0.219
2023-01-13 10:06 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.178 s -1.204
2023-01-13 10:06 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.022 s 2.202
2023-01-13 10:06 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.756 s 0.834
2023-01-13 10:06 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -3.119
2023-01-13 10:06 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.932 s -3.003
2023-01-13 10:06 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.821
2023-01-13 10:07 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.520 s 0.882
2023-01-13 10:10 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.294 s -3.170
2023-01-13 10:11 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.152 s -1.105
2023-01-13 10:11 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.033
2023-01-13 10:24 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.412 s -0.724
2023-01-13 10:19 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.864 s 1.205
2023-01-13 10:19 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.803
2023-01-13 10:33 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.495 s 0.075
2023-01-13 10:33 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.620 s 0.114
2023-01-13 10:34 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.979 s -0.027
2023-01-13 10:23 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.878 s -3.324
2023-01-13 10:34 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.207 s 0.770
2023-01-13 10:34 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.926 s 0.366
2023-01-13 10:34 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.930 s 0.039
2023-01-13 10:36 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.342 s -2.059
2023-01-13 10:20 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.696 s 0.482
2023-01-13 10:33 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.301 s 0.552
2023-01-13 10:33 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.639 s 0.129
2023-01-13 10:35 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.719 s -2.193
2023-01-13 10:19 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.045 s -3.306
2023-01-13 10:24 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.408 s -0.361
2023-01-13 10:19 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -2.820
2023-01-13 10:19 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.327
2023-01-13 10:35 Python file-read lz4, feather, table, nyctaxi_2010-01 0.667 s 0.376
2023-01-13 10:40 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.978 s -1.527
2023-01-13 10:33 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.488 s 0.181
2023-01-13 10:34 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.992 s -0.225
2023-01-13 10:34 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.936 s -0.058
2023-01-13 10:19 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.545
2023-01-13 10:33 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.322 s 0.345
2023-01-13 10:39 Python file-write lz4, feather, table, fanniemae_2016Q4 1.878 s -0.344
2023-01-13 10:19 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.226 s -1.208
2023-01-13 10:38 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.315 s -0.145
2023-01-13 10:39 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.212 s -0.055
2023-01-13 10:19 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.911 s 0.934
2023-01-13 10:35 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.368 s -0.137
2023-01-13 10:37 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.960 s -3.206
2023-01-13 10:38 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.531 s -2.276
2023-01-13 10:41 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.457 s -1.747
2023-01-13 10:34 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.618 s 0.424
2023-01-13 10:34 Python file-read lz4, feather, table, fanniemae_2016Q4 0.820 s 0.214
2023-01-13 10:35 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.583 s 0.322
2023-01-13 10:40 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.902 s 0.232
2023-01-13 10:41 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.863 s -1.910
2023-01-13 10:42 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.709 s -0.088
2023-01-13 10:42 Python file-write lz4, feather, table, nyctaxi_2010-01 1.766 s 0.152
2023-01-13 10:42 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.370 s -2.040
2023-01-13 10:42 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.116 s -0.076
2023-01-13 10:42 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.341
2023-01-13 10:42 Python wide-dataframe use_legacy_dataset=false 0.514 s 0.258
2023-01-13 10:42 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.197 s -0.074
2023-01-13 10:51 R dataframe-to-table type_strings, R 0.535 s -0.074
2023-01-13 11:04 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.479 s 0.313
2023-01-13 10:53 R file-read lz4, feather, table, fanniemae_2016Q4, R 1.070 s -2.981
2023-01-13 10:52 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.335 s -0.734
2023-01-13 10:51 R dataframe-to-table chi_traffic_2020_Q1, R 4.350 s -1.896
2023-01-13 10:52 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.320 s -0.089
2023-01-13 10:58 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.951 s -3.572
2023-01-13 11:06 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.902 s -3.617
2023-01-13 10:54 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.914 s -0.242
2023-01-13 10:51 R dataframe-to-table type_floats, R 0.013 s 0.647
2023-01-13 10:53 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.848 s 0.246
2023-01-13 10:51 R dataframe-to-table type_dict, R 0.061 s -0.318
2023-01-13 10:54 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.912 s -0.192
2023-01-13 10:52 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.570 s -0.120
2023-01-13 10:53 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.583 s -0.619
2023-01-13 11:01 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.956 s 0.455
2023-01-13 10:51 R dataframe-to-table type_integers, R 0.010 s -0.034
2023-01-13 10:54 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.810 s 0.326
2023-01-13 10:55 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.887 s 0.334
2023-01-13 11:03 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.493 s 0.032
2023-01-13 10:53 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.960 s -1.465
2023-01-13 10:53 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.317 s 0.224
2023-01-13 10:54 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.570 s -0.414
2023-01-13 10:54 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.566 s -0.243
2023-01-13 10:58 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.331 s -3.119
2023-01-13 11:00 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.427 s -3.817
2023-01-13 10:52 R dataframe-to-table type_nested, R 0.573 s -0.191
2023-01-13 10:54 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s 0.328
2023-01-13 10:55 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.581 s 0.277
2023-01-13 10:56 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.904 s -3.045
2023-01-13 11:05 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.072 s -3.698
2023-01-13 11:03 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.070 s -0.671
2023-01-13 11:08 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.817 s -3.831
2023-01-13 11:09 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.860 s -3.769
2023-01-13 11:10 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.183 s -0.772
2023-01-13 11:09 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s 0.530
2023-01-13 11:14 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.649 s 0.786
2023-01-13 11:11 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.473 s -0.974
2023-01-13 11:14 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.026
2023-01-13 11:16 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.233
2023-01-13 11:13 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.248 s 0.734
2023-01-13 11:12 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.090 s -1.282
2023-01-13 11:12 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.610 s -1.423
2023-01-13 11:12 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.560 s 0.065
2023-01-13 11:13 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.607 s -0.825
2023-01-13 11:13 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.138
2023-01-13 11:13 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.202
2023-01-13 11:13 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.200
2023-01-13 11:13 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.212
2023-01-13 11:15 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.332 s 0.211
2023-01-13 11:14 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s -0.192
2023-01-13 11:14 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.583 s 0.063
2023-01-13 11:13 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s -0.010
2023-01-13 11:16 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.039 s 0.283
2023-01-13 11:15 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s 0.282
2023-01-13 11:15 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.288 s 0.181
2023-01-13 11:16 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.227 s 0.225
2023-01-13 11:15 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.347 s 0.222
2023-01-13 11:15 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s 0.208
2023-01-13 11:16 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.576 s 0.434
2023-01-13 11:15 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.647 s 0.448
2023-01-13 11:16 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.268 s 0.255
2023-01-13 11:16 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.298 s 0.361
2023-01-13 11:16 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.302 s 0.224
2023-01-13 11:19 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.913 s 0.126
2023-01-13 11:20 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.632 s 0.057
2023-01-13 11:19 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.195 s -0.148
2023-01-13 11:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.394 s 0.213
2023-01-13 11:17 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.894 s 0.402
2023-01-13 11:18 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.263
2023-01-13 11:18 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.244
2023-01-13 11:18 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.269 s 0.325
2023-01-13 11:22 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.222 s 0.180
2023-01-13 11:20 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.613 s 0.777
2023-01-13 11:23 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.650 s 0.335
2023-01-13 11:23 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.349 s 0.247
2023-01-13 11:23 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.788 s -0.133
2023-01-13 11:17 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.197 s 0.291
2023-01-13 11:17 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.218
2023-01-13 11:22 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s 0.300
2023-01-13 11:22 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.337 s 0.343
2023-01-13 11:21 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.205
2023-01-13 11:21 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.159 s 0.316
2023-01-13 11:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.332 s 0.215
2023-01-13 11:18 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.196
2023-01-13 11:19 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.208
2023-01-13 11:19 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.314 s 0.555
2023-01-13 11:22 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.293 s 0.240
2023-01-13 11:17 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.463 s 0.229
2023-01-13 11:19 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.259 s 0.289
2023-01-13 11:22 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.289 s 0.294
2023-01-13 11:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.206
2023-01-13 11:19 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s 0.270
2023-01-13 11:20 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.631 s 0.299
2023-01-13 11:21 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.312
2023-01-13 11:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.368 s 0.258
2023-01-13 11:21 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.232 s 0.365
2023-01-13 11:19 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.350 s 0.218
2023-01-13 11:21 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s 0.286
2023-01-13 11:24 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.578 s 0.009
2023-01-13 11:21 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.514 s -0.074
2023-01-13 11:22 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.372 s 0.288
2023-01-13 11:25 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.613 s 0.153
2023-01-13 11:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.425 s 0.252
2023-01-13 11:25 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.708 s 0.305
2023-01-13 11:25 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.726 s -0.116
2023-01-13 11:26 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.306
2023-01-13 11:25 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.256
2023-01-13 11:26 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.161
2023-01-13 11:26 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.271
2023-01-13 11:26 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.371 s 0.209
2023-01-13 11:26 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.797 s -0.474
2023-01-13 11:27 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.056 s 0.328
2023-01-13 11:27 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.947 s 0.644
2023-01-13 11:28 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.271
2023-01-13 11:28 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.645 s 0.338
2023-01-13 11:27 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.178
2023-01-13 11:27 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.299 s 0.291
2023-01-13 11:28 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.258 s 0.245
2023-01-13 11:28 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.197
2023-01-13 11:28 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.870 s 0.782
2023-01-13 11:29 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.685 s 0.233
2023-01-13 11:29 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.331 s -0.021
2023-01-13 11:29 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.142
2023-01-13 11:29 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.209 s 0.181
2023-01-13 11:29 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.260 s 0.214
2023-01-13 11:29 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.196
2023-01-13 11:31 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.358 s 0.440
2023-01-13 11:30 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.589 s -1.693
2023-01-13 11:30 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.926 s -5.651
2023-01-13 11:31 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.303 s -0.130
2023-01-13 11:35 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.215 s 0.018
2023-01-13 11:31 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.196
2023-01-13 11:31 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s 0.300
2023-01-13 11:30 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.442 s -3.757
2023-01-13 11:31 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.476 s -0.075
2023-01-13 11:31 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 1.114 s -5.594
2023-01-13 11:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.564 s -3.308
2023-01-13 11:35 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.265 s 0.156
2023-01-13 11:53 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.698 s -0.798
2023-01-13 11:35 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.058
2023-01-13 11:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.107
2023-01-13 12:02 JavaScript Spread Vector int32Array 0.006 s 0.277
2023-01-13 11:33 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.258 s -0.124
2023-01-13 11:33 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.131
2023-01-13 11:33 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.237 s 0.004
2023-01-13 11:35 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.929 s 0.033
2023-01-13 11:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.287 s -3.004
2023-01-13 11:39 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.312 s -3.949
2023-01-13 11:33 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.426 s -0.226
2023-01-13 11:38 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.279
2023-01-13 11:41 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.666 s 0.010
2023-01-13 11:38 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.327 s 0.093
2023-01-13 11:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.883 s 0.136
2023-01-13 11:40 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.412 s -5.263
2023-01-13 11:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.532 s 0.241
2023-01-13 11:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.312 s 0.394
2023-01-13 11:45 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.212 s 0.262
2023-01-13 11:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.373 s 0.166
2023-01-13 11:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.790 s 0.082
2023-01-13 11:33 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.331 s -0.024
2023-01-13 11:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.887 s -0.201
2023-01-13 11:33 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.593 s -0.111
2023-01-13 11:35 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.441 s -0.108
2023-01-13 11:36 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.512 s 0.564
2023-01-13 11:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.955 s 0.223
2023-01-13 11:51 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.844 s -0.600
2023-01-13 11:53 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.447 s 0.303
2023-01-13 11:36 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.275
2023-01-13 11:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.858 s -0.618
2023-01-13 11:53 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.252
2023-01-13 12:03 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.270
2023-01-13 12:03 JavaScript Table 1,000,000, tracks 0.272 s 0.019
2023-01-13 11:38 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.510 s 0.479
2023-01-13 11:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.247
2023-01-13 12:02 JavaScript Iterate Vector uint8Array 0.002 s -0.133
2023-01-13 11:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.353 s -2.506
2023-01-13 11:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.892 s -1.472
2023-01-13 11:53 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.151
2023-01-13 11:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.251 s 0.622
2023-01-13 11:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.523 s -1.222
2023-01-13 11:45 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.602 s 0.498
2023-01-13 11:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.163
2023-01-13 11:37 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.602 s 0.810
2023-01-13 11:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.153 s -2.076
2023-01-13 11:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.281
2023-01-13 11:43 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.240 s 0.059
2023-01-13 11:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.169
2023-01-13 11:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.449 s 0.094
2023-01-13 11:34 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.309 s -0.549
2023-01-13 11:37 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.205
2023-01-13 11:38 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.238
2023-01-13 11:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.263 s 0.266
2023-01-13 11:43 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.326 s 0.216
2023-01-13 12:02 JavaScript Iterate Vector uint16Array 0.002 s -0.486
2023-01-13 12:02 JavaScript Iterate Vector uint64Array 0.004 s 0.151
2023-01-13 12:03 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.659
2023-01-13 11:35 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.333 s 0.187
2023-01-13 11:37 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.283 s 0.234
2023-01-13 11:37 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.575 s 0.374
2023-01-13 11:38 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.236 s 0.298
2023-01-13 11:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.405 s 0.039
2023-01-13 11:43 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.052
2023-01-13 11:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.162
2023-01-13 11:53 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.234
2023-01-13 12:02 JavaScript Iterate Vector int8Array 0.002 s -0.770
2023-01-13 11:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.712 s 0.439
2023-01-13 11:36 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.251 s 0.271
2023-01-13 11:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.524 s 0.246
2023-01-13 11:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.146
2023-01-13 11:41 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.297
2023-01-13 11:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.439 s 0.093
2023-01-13 11:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.306 s 0.307
2023-01-13 11:37 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.213
2023-01-13 11:38 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.212
2023-01-13 11:40 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.946 s 0.325
2023-01-13 12:02 JavaScript vectorFromArray numbers 0.016 s 0.185
2023-01-13 12:02 JavaScript vectorFromArray dictionary 0.017 s 0.477
2023-01-13 12:02 JavaScript Iterate Vector dictionary 0.004 s 0.549
2023-01-13 12:02 JavaScript toArray Vector int32Array
2023-01-13 11:40 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.320 s 0.244
2023-01-13 11:41 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.009 s -0.890
2023-01-13 11:47 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.994 s 0.009
2023-01-13 11:53 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.178
2023-01-13 12:02 JavaScript Spread Vector numbers 0.008 s 0.843
2023-01-13 12:02 JavaScript toArray Vector uint8Array
2023-01-13 11:43 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.446 s 0.222
2023-01-13 11:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.731 s -0.546
2023-01-13 12:02 JavaScript Iterate Vector booleans 0.004 s 0.293
2023-01-13 12:03 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 12:03 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.423
2023-01-13 11:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.185
2023-01-13 11:47 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.245
2023-01-13 11:47 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.296
2023-01-13 12:03 JavaScript Table tracks, 1,000,000 0.050 s -0.144
2023-01-13 12:03 JavaScript Table tracks, 1,000,000 0.261 s 0.452
2023-01-13 12:03 JavaScript Table tracks, 1,000,000 0.094 s 1.217
2023-01-13 12:03 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.521
2023-01-13 11:53 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.229
2023-01-13 12:02 JavaScript Spread Vector uint64Array 0.012 s 0.161
2023-01-13 12:02 JavaScript toArray Vector uint16Array
2023-01-13 12:02 JavaScript get Vector int16Array 0.003 s -0.017
2023-01-13 12:02 JavaScript get Vector float64Array 0.002 s -0.844
2023-01-13 12:02 JavaScript vectorFromArray booleans 0.017 s 0.560
2023-01-13 12:02 JavaScript Iterate Vector uint32Array 0.002 s -0.174
2023-01-13 12:02 JavaScript Iterate Vector int16Array 0.002 s -0.711
2023-01-13 12:02 JavaScript Iterate Vector float64Array 0.002 s -1.006
2023-01-13 12:02 JavaScript Iterate Vector string 0.127 s -0.460
2023-01-13 12:02 JavaScript Spread Vector uint16Array 0.006 s 0.507
2023-01-13 12:02 JavaScript Spread Vector int16Array 0.006 s 0.558
2023-01-13 12:02 JavaScript Spread Vector int64Array 0.012 s 0.115
2023-01-13 12:02 JavaScript Iterate Vector int32Array 0.002 s -1.010
2023-01-13 12:02 JavaScript Iterate Vector float32Array 0.002 s -1.414
2023-01-13 12:02 JavaScript Iterate Vector numbers 0.002 s -1.022
2023-01-13 12:02 JavaScript Spread Vector uint32Array 0.007 s 0.570
2023-01-13 12:02 JavaScript Iterate Vector int64Array 0.004 s 0.037
2023-01-13 12:02 JavaScript Spread Vector string 0.147 s -0.819
2023-01-13 12:02 JavaScript toArray Vector uint64Array
2023-01-13 12:02 JavaScript toArray Vector int16Array
2023-01-13 12:02 JavaScript toArray Vector string 0.146 s -0.137
2023-01-13 12:02 JavaScript get Vector uint16Array 0.003 s -0.029
2023-01-13 12:02 JavaScript get Vector uint64Array 0.003 s -0.267
2023-01-13 12:02 JavaScript Spread Vector uint8Array 0.006 s 0.722
2023-01-13 12:02 JavaScript toArray Vector uint32Array
2023-01-13 12:02 JavaScript toArray Vector numbers
2023-01-13 12:02 JavaScript Spread Vector int8Array 0.006 s 0.559
2023-01-13 12:02 JavaScript Spread Vector dictionary 0.010 s -0.324
2023-01-13 12:03 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.186 s 1.435
2023-01-13 12:03 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.022
2023-01-13 12:02 JavaScript Spread Vector float32Array 0.008 s 0.797
2023-01-13 12:02 JavaScript toArray Vector int8Array
2023-01-13 12:02 JavaScript get Vector int8Array 0.003 s -0.012
2023-01-13 12:02 JavaScript get Vector float32Array 0.002 s 0.933
2023-01-13 12:02 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.608
2023-01-13 12:02 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.893
2023-01-13 12:02 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.371
2023-01-13 12:02 JavaScript Spread Vector float64Array 0.008 s 0.736
2023-01-13 12:02 JavaScript toArray Vector int64Array
2023-01-13 12:02 JavaScript toArray Vector float64Array
2023-01-13 12:02 JavaScript get Vector int64Array 0.003 s 0.026
2023-01-13 12:02 JavaScript get Vector booleans 0.002 s 0.346
2023-01-13 12:02 JavaScript get Vector string 0.125 s 0.022
2023-01-13 12:02 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.155
2023-01-13 12:02 JavaScript Spread Vector booleans 0.010 s 0.040
2023-01-13 12:02 JavaScript toArray Vector booleans 0.010 s 0.821
2023-01-13 12:02 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.342
2023-01-13 12:02 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.891
2023-01-13 12:02 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.343
2023-01-13 12:02 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.136
2023-01-13 12:02 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.172
2023-01-13 12:02 JavaScript toArray Vector float32Array
2023-01-13 12:02 JavaScript get Vector uint32Array 0.003 s 0.025
2023-01-13 12:02 JavaScript get Vector numbers 0.002 s -3.018
2023-01-13 12:02 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-13 12:02 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 12:02 JavaScript toArray Vector dictionary 0.010 s -0.142
2023-01-13 12:02 JavaScript get Vector uint8Array 0.003 s -0.100
2023-01-13 12:02 JavaScript get Vector int32Array 0.003 s -0.054
2023-01-13 12:02 JavaScript get Vector dictionary 0.002 s 0.289
2023-01-13 12:02 JavaScript Parse read recordBatches, tracks 0.000 s -0.080
2023-01-13 12:02 JavaScript Parse write recordBatches, tracks 0.002 s -0.041
2023-01-13 12:02 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -1.031
2023-01-13 12:03 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 1.447
2023-01-13 12:02 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.035
2023-01-13 12:02 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.468
2023-01-13 12:02 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s