Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-15 06:49 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.232 s 0.331
2023-01-15 06:49 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.798 s -1.123
2023-01-15 06:50 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.925 s -0.785
2023-01-15 06:49 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.056 s -1.066
2023-01-15 06:51 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.116 s 0.256
2023-01-15 06:51 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.435 s 0.358
2023-01-15 06:51 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.528 s 1.121
2023-01-15 06:52 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.440 s 1.170
2023-01-15 06:54 Python dataframe-to-table type_strings 0.427 s 0.247
2023-01-15 06:54 Python dataframe-to-table type_integers 0.010 s 0.994
2023-01-15 06:54 Python dataframe-to-table chi_traffic_2020_Q1 21.185 s -0.244
2023-01-15 06:54 Python dataframe-to-table type_floats 0.010 s 0.280
2023-01-15 06:54 Python dataframe-to-table type_dict 0.011 s 0.004
2023-01-15 06:54 Python dataset-filter nyctaxi_2010-01 1.026 s -0.244
2023-01-15 06:54 Python dataframe-to-table type_nested 2.939 s 1.455
2023-01-15 06:59 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 91.649 s -1.259
2023-01-15 07:03 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 84.021 s -0.421
2023-01-15 07:15 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.172 s -0.588
2023-01-15 07:16 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.476
2023-01-15 07:15 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.651 s 0.235
2023-01-15 07:15 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.291 s 0.266
2023-01-15 07:16 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.149
2023-01-15 07:15 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.335 s -0.074
2023-01-15 07:15 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.179 s 0.151
2023-01-15 07:15 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.028 s 0.274
2023-01-15 07:15 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.040 s 0.229
2023-01-15 07:15 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.209 s -0.316
2023-01-15 07:15 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.228 s 0.048
2023-01-15 07:16 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.933 s -2.173
2023-01-15 07:20 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.712
2023-01-15 07:16 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 0.866
2023-01-15 07:16 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.014
2023-01-15 07:16 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.132 s 0.018
2023-01-15 07:16 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.022 s 1.964
2023-01-15 07:14 Python dataset-read async=True, nyctaxi_multi_ipc_s3 224.322 s -0.344
2023-01-15 07:20 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.311 s -2.195
2023-01-15 07:21 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.150 s 0.305
2023-01-15 07:16 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -2.681
2023-01-15 07:17 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.527 s 0.792
2023-01-15 07:28 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.061
2023-01-15 07:28 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.976 s 0.883
2023-01-15 07:34 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.407 s 0.939
2023-01-15 07:33 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.916 s -2.184
2023-01-15 07:28 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.027 s -2.456
2023-01-15 07:29 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.736
2023-01-15 07:34 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.406 s 0.129
2023-01-15 07:29 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.866 s 0.805
2023-01-15 07:29 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.051 s -2.245
2023-01-15 07:30 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.685 s 1.075
2023-01-15 07:28 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -1.851
2023-01-15 07:29 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.452
2023-01-15 07:43 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.498 s 0.170
2023-01-15 07:44 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.328
2023-01-15 07:43 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.205 s 1.079
2023-01-15 07:43 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.636 s 0.298
2023-01-15 07:44 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.928 s 0.131
2023-01-15 07:44 Python file-read lz4, feather, table, nyctaxi_2010-01 0.672 s 0.321
2023-01-15 07:45 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.715 s -1.696
2023-01-15 07:43 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.324 s 0.331
2023-01-15 07:43 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.627 s 0.149
2023-01-15 07:44 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.213 s 0.459
2023-01-15 07:43 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.504 s -0.177
2023-01-15 07:44 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.981 s 0.019
2023-01-15 07:44 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.936 s 0.325
2023-01-15 07:47 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.897 s -1.776
2023-01-15 07:44 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.991 s -0.154
2023-01-15 07:45 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.328 s 0.349
2023-01-15 07:46 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.225 s -1.112
2023-01-15 07:44 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.633 s 0.343
2023-01-15 07:49 Python file-write lz4, feather, table, fanniemae_2016Q4 1.861 s -0.045
2023-01-15 07:50 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.934 s 0.011
2023-01-15 07:44 Python file-read lz4, feather, table, fanniemae_2016Q4 0.821 s 0.146
2023-01-15 07:44 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.945 s -0.083
2023-01-15 07:51 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.355 s -0.725
2023-01-15 07:52 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.707 s 0.120
2023-01-15 07:52 Python wide-dataframe use_legacy_dataset=true 0.379 s 0.045
2023-01-15 07:52 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.116 s 0.118
2023-01-15 07:48 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.416 s -1.354
2023-01-15 07:52 Python wide-dataframe use_legacy_dataset=false 0.517 s -0.090
2023-01-15 08:01 R dataframe-to-table type_strings, R 0.535 s -0.224
2023-01-15 08:01 R dataframe-to-table type_integers, R 0.010 s 0.608
2023-01-15 07:50 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.901 s -0.836
2023-01-15 07:52 Python file-write lz4, feather, table, nyctaxi_2010-01 1.752 s 0.353
2023-01-15 07:48 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.310 s 0.012
2023-01-15 07:49 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.236 s 0.059
2023-01-15 07:51 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.758 s -0.810
2023-01-15 08:03 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.599 s 0.267
2023-01-15 07:51 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.255 s -0.859
2023-01-15 07:52 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.182 s 0.223
2023-01-15 08:02 R dataframe-to-table type_nested, R 0.572 s 0.471
2023-01-15 08:01 R dataframe-to-table type_dict, R 0.052 s 0.596
2023-01-15 08:02 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.326 s -0.226
2023-01-15 08:03 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.913 s -0.139
2023-01-15 08:03 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.856 s 0.185
2023-01-15 08:03 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.567 s 0.266
2023-01-15 08:07 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.788 s -1.467
2023-01-15 08:08 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.269 s -1.735
2023-01-15 08:01 R dataframe-to-table chi_traffic_2020_Q1, R 4.244 s 0.283
2023-01-15 08:01 R dataframe-to-table type_floats, R 0.013 s 0.688
2023-01-15 08:04 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.314
2023-01-15 08:04 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.571 s -0.350
2023-01-15 08:04 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.812 s 0.333
2023-01-15 08:02 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.333 s -0.529
2023-01-15 08:02 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -0.309
2023-01-15 08:05 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.855 s -1.756
2023-01-15 08:12 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.976 s 1.355
2023-01-15 08:22 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.550 s 0.646
2023-01-15 08:02 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.581 s -0.448
2023-01-15 08:03 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.222
2023-01-15 08:10 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.231 s -1.344
2023-01-15 08:14 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.448 s 1.070
2023-01-15 08:03 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.568 s -0.226
2023-01-15 08:13 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.493 s -0.005
2023-01-15 08:16 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.851 s -2.021
2023-01-15 08:04 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.895 s 0.298
2023-01-15 08:15 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.985 s -1.401
2023-01-15 08:24 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.007 s -0.292
2023-01-15 08:24 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.281 s -0.145
2023-01-15 08:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.175
2023-01-15 08:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s 0.328
2023-01-15 08:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.510 s 0.096
2023-01-15 08:33 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.540 s -3.794
2023-01-15 08:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.443 s -2.238
2023-01-15 08:04 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.919 s -0.299
2023-01-15 08:18 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.731 s -0.964
2023-01-15 08:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.669 s -1.885
2023-01-15 08:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.166
2023-01-15 08:30 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.205 s -0.288
2023-01-15 08:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.352 s 0.166
2023-01-15 08:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.264
2023-01-15 08:04 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.578 s 0.300
2023-01-15 08:22 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.250 s 0.383
2023-01-15 08:11 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.969 s -1.440
2023-01-15 08:21 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.473 s -1.042
2023-01-15 08:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.952 s -2.918
2023-01-15 08:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.249 s -2.294
2023-01-15 08:29 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.300 s -2.115
2023-01-15 08:36 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.839 s -2.648
2023-01-15 08:20 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.170 s -0.191
2023-01-15 08:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.590 s -0.332
2023-01-15 08:24 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.100
2023-01-15 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.167
2023-01-15 08:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.302 s 0.032
2023-01-15 08:30 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.922 s -0.270
2023-01-15 08:33 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.400 s -2.476
2023-01-15 08:22 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.065 s 0.119
2023-01-15 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.275 s -0.101
2023-01-15 08:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.370 s -4.112
2023-01-15 08:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.197
2023-01-15 08:31 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.635 s -0.147
2023-01-15 08:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.230
2023-01-15 08:35 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.413 s -2.333
2023-01-15 08:36 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.657 s -0.456
2023-01-15 08:19 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s 0.425
2023-01-15 08:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.220
2023-01-15 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.268 s 0.227
2023-01-15 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.201
2023-01-15 08:39 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.771 s 0.181
2023-01-15 08:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.238
2023-01-15 08:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.650 s -3.712
2023-01-15 08:47 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.085
2023-01-15 08:17 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.718 s -1.408
2023-01-15 08:22 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.599 s -0.913
2023-01-15 08:22 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.606 s -0.652
2023-01-15 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.185
2023-01-15 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.060 s -0.681
2023-01-15 08:28 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.896 s -3.869
2023-01-15 08:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.482 s -3.983
2023-01-15 08:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.284
2023-01-15 08:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.423 s -3.834
2023-01-15 08:47 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.450 s -4.751
2023-01-15 08:48 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.163
2023-01-15 08:52 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.265
2023-01-15 08:53 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.110 s -0.274
2023-01-15 08:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.164
2023-01-15 08:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 4.229 s -3.214
2023-01-15 08:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.233 s 0.156
2023-01-15 08:37 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.369 s 0.224
2023-01-15 08:46 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.100
2023-01-15 08:48 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 1.142 s -3.965
2023-01-15 08:50 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.296 s -4.670
2023-01-15 08:55 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.667 s -0.009
2023-01-15 08:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.217
2023-01-15 08:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.275 s -3.856
2023-01-15 08:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.229
2023-01-15 08:31 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s 0.063
2023-01-15 08:32 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.716 s -0.645
2023-01-15 08:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.155
2023-01-15 08:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.307
2023-01-15 08:34 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.367 s -2.509
2023-01-15 08:37 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.166
2023-01-15 08:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.272
2023-01-15 08:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.439 s 0.257
2023-01-15 08:42 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.379 s -4.694
2023-01-15 08:48 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.336 s 0.146
2023-01-15 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.200
2023-01-15 08:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.291 s 0.001
2023-01-15 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.436 s -0.015
2023-01-15 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.717 s -4.886
2023-01-15 08:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.335 s -3.777
2023-01-15 08:31 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.321 s 0.133
2023-01-15 08:38 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.770 s -0.310
2023-01-15 08:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.249
2023-01-15 08:38 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.372 s 0.209
2023-01-15 08:34 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s -2.974
2023-01-15 08:36 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.395 s 0.232
2023-01-15 08:37 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.720 s 0.017
2023-01-15 08:37 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.615 s 0.032
2023-01-15 08:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.651 s 0.175
2023-01-15 08:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.462 s -5.090
2023-01-15 08:45 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.913 s -0.594
2023-01-15 08:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.428 s -0.184
2023-01-15 08:51 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.713 s -3.432
2023-01-15 08:55 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.311
2023-01-15 08:56 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.547 s -0.364
2023-01-15 08:58 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.339 s -0.473
2023-01-15 09:01 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.607 s -0.149
2023-01-15 08:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.503 s -3.185
2023-01-15 08:38 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.295
2023-01-15 08:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.228
2023-01-15 08:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.147
2023-01-15 08:46 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.614 s -1.654
2023-01-15 08:48 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.268 s 0.176
2023-01-15 08:50 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.964 s -4.653
2023-01-15 08:52 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.644 s -1.478
2023-01-15 08:54 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.162
2023-01-15 08:57 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s -0.013
2023-01-15 08:59 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s 0.069
2023-01-15 09:00 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.375 s 0.065
2023-01-15 09:00 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.982 s -0.286
2023-01-15 08:35 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.798 s -3.347
2023-01-15 08:36 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.198
2023-01-15 08:36 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.341 s 0.144
2023-01-15 08:39 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.970 s -0.779
2023-01-15 08:39 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.152 s -0.367
2023-01-15 08:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.226
2023-01-15 08:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.321
2023-01-15 08:41 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.875 s 0.292
2023-01-15 08:41 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.182
2023-01-15 08:42 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.247 s -0.687
2023-01-15 08:44 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.328 s -2.843
2023-01-15 08:44 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.498 s -2.399
2023-01-15 08:51 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.317 s -4.732
2023-01-15 08:53 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.901 s -0.817
2023-01-15 08:41 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.782 s -0.503
2023-01-15 08:43 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.910 s -3.593
2023-01-15 08:43 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.283 s -5.998
2023-01-15 08:45 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.692 s -4.917
2023-01-15 08:46 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.643 s -1.439
2023-01-15 08:46 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.335 s -0.375
2023-01-15 08:47 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.530 s -0.830
2023-01-15 08:50 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.299 s -4.226
2023-01-15 08:51 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.420 s -4.521
2023-01-15 08:52 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.617 s -0.707
2023-01-15 08:53 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.327 s 0.089
2023-01-15 08:54 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.216
2023-01-15 08:43 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.687 s -6.580
2023-01-15 08:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.366 s -5.170
2023-01-15 08:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s -0.113
2023-01-15 08:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.865 s -0.556
2023-01-15 08:53 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.530 s 0.079
2023-01-15 08:54 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.210
2023-01-15 08:54 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.258
2023-01-15 08:54 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.966 s 0.017
2023-01-15 08:56 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.230
2023-01-15 08:57 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.298 s -0.561
2023-01-15 08:58 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.122
2023-01-15 09:08 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.335 s -1.691
2023-01-15 09:17 JavaScript vectorFromArray dictionary 0.017 s 0.040
2023-01-15 09:17 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.981
2023-01-15 08:48 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.441 s 0.064
2023-01-15 08:49 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.674 s -3.141
2023-01-15 08:50 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.370 s -3.274
2023-01-15 08:53 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.274
2023-01-15 09:00 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.289 s 0.069
2023-01-15 09:02 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.738 s -1.078
2023-01-15 09:02 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.182 s -2.149
2023-01-15 09:17 JavaScript Iterate Vector uint16Array 0.002 s 0.677
2023-01-15 09:17 JavaScript toArray Vector int64Array
2023-01-15 08:52 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.257
2023-01-15 08:52 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.222 s 0.199
2023-01-15 08:56 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.405 s 0.052
2023-01-15 08:58 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.894 s -1.031
2023-01-15 09:08 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.569 s -3.737
2023-01-15 09:17 JavaScript Iterate Vector uint32Array 0.002 s 0.579
2023-01-15 09:17 JavaScript toArray Vector uint32Array
2023-01-15 09:17 JavaScript get Vector dictionary 0.002 s -0.554
2023-01-15 09:17 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.904
2023-01-15 08:53 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.205
2023-01-15 08:55 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.277
2023-01-15 08:56 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.229
2023-01-15 09:17 JavaScript vectorFromArray booleans 0.017 s 0.618
2023-01-15 09:17 JavaScript Iterate Vector int8Array 0.002 s 0.973
2023-01-15 09:17 JavaScript toArray Vector int8Array
2023-01-15 09:17 JavaScript get Vector uint8Array 0.003 s 0.095
2023-01-15 08:55 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.979 s -0.652
2023-01-15 08:57 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.206
2023-01-15 08:59 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.479 s -2.789
2023-01-15 09:00 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.321 s 0.125
2023-01-15 09:01 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.397 s -0.467
2023-01-15 09:07 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.199 s 0.061
2023-01-15 09:07 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s -3.792
2023-01-15 09:17 JavaScript Spread Vector booleans 0.010 s -0.685
2023-01-15 09:17 JavaScript Spread Vector string 0.147 s -0.859
2023-01-15 09:17 JavaScript toArray Vector uint16Array
2023-01-15 09:17 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.753
2023-01-15 08:57 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.482 s -1.274
2023-01-15 08:59 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.670 s -2.737
2023-01-15 09:01 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.453 s -0.074
2023-01-15 09:02 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.804 s -0.343
2023-01-15 09:02 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.921 s -2.742
2023-01-15 09:05 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.206 s -3.849
2023-01-15 09:07 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.351 s -3.109
2023-01-15 09:08 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.289 s -3.482
2023-01-15 09:17 JavaScript Iterate Vector int32Array 0.002 s 0.556
2023-01-15 09:17 JavaScript Iterate Vector numbers 0.002 s 0.645
2023-01-15 08:57 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.274 s 0.055
2023-01-15 09:00 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.040
2023-01-15 09:17 JavaScript toArray Vector int32Array
2023-01-15 09:17 JavaScript toArray Vector float32Array
2023-01-15 09:17 JavaScript toArray Vector numbers
2023-01-15 09:17 JavaScript toArray Vector dictionary 0.010 s 0.703
2023-01-15 09:17 JavaScript get Vector int8Array 0.003 s 0.097
2023-01-15 09:17 JavaScript Iterate Vector uint64Array 0.004 s 0.201
2023-01-15 09:17 JavaScript Iterate Vector int16Array 0.002 s 0.531
2023-01-15 09:17 JavaScript Spread Vector uint16Array 0.006 s 0.159
2023-01-15 09:01 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.214 s -0.782
2023-01-15 09:09 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.793 s -5.389
2023-01-15 09:17 JavaScript Iterate Vector uint8Array 0.002 s 0.628
2023-01-15 09:17 JavaScript Iterate Vector float32Array 0.002 s 0.810
2023-01-15 09:17 JavaScript get Vector numbers 0.002 s 0.704
2023-01-15 09:17 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.417
2023-01-15 09:17 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.836
2023-01-15 09:06 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.213 s -2.945
2023-01-15 09:07 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.318 s -2.808
2023-01-15 09:17 JavaScript vectorFromArray numbers 0.016 s -0.595
2023-01-15 09:17 JavaScript Iterate Vector int64Array 0.004 s 0.233
2023-01-15 09:17 JavaScript toArray Vector int16Array
2023-01-15 09:17 JavaScript get Vector booleans 0.002 s -0.259
2023-01-15 09:17 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.119
2023-01-15 09:17 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.829
2023-01-15 09:17 JavaScript Iterate Vector float64Array 0.002 s 0.565
2023-01-15 09:17 JavaScript Iterate Vector booleans 0.004 s -4.005
2023-01-15 09:17 JavaScript Iterate Vector string 0.127 s -0.730
2023-01-15 09:17 JavaScript Parse write recordBatches, tracks 0.002 s 0.997
2023-01-15 09:17 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.392
2023-01-15 09:17 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.910
2023-01-15 09:17 JavaScript Table tracks, 1,000,000 0.289 s -0.892
2023-01-15 09:17 JavaScript Iterate Vector dictionary 0.004 s -0.535
2023-01-15 09:17 JavaScript Spread Vector uint8Array 0.006 s 0.673
2023-01-15 09:17 JavaScript Spread Vector uint32Array 0.006 s 1.085
2023-01-15 09:17 JavaScript Spread Vector int8Array 0.006 s 0.714
2023-01-15 09:17 JavaScript Spread Vector int32Array 0.006 s 0.770
2023-01-15 09:17 JavaScript Spread Vector uint64Array 0.012 s 0.426
2023-01-15 09:17 JavaScript Spread Vector int16Array 0.006 s 0.181
2023-01-15 09:17 JavaScript Spread Vector int64Array 0.012 s 0.125
2023-01-15 09:17 JavaScript Spread Vector float64Array 0.008 s 0.408
2023-01-15 09:17 JavaScript toArray Vector booleans 0.010 s -2.017
2023-01-15 09:17 JavaScript toArray Vector string 0.147 s -0.845
2023-01-15 09:17 JavaScript Spread Vector float32Array 0.008 s 1.288
2023-01-15 09:17 JavaScript Spread Vector numbers 0.008 s 1.555
2023-01-15 09:17 JavaScript Spread Vector dictionary 0.010 s 0.790
2023-01-15 09:17 JavaScript toArray Vector uint8Array
2023-01-15 09:17 JavaScript get Vector uint32Array 0.003 s 0.174
2023-01-15 09:17 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -1.011
2023-01-15 09:17 JavaScript toArray Vector uint64Array
2023-01-15 09:17 JavaScript get Vector uint16Array 0.003 s 0.180
2023-01-15 09:17 JavaScript get Vector int16Array 0.003 s 0.190
2023-01-15 09:17 JavaScript get Vector int64Array 0.003 s 0.072
2023-01-15 09:17 JavaScript get Vector float64Array 0.002 s 0.783
2023-01-15 09:17 JavaScript toArray Vector float64Array
2023-01-15 09:17 JavaScript get Vector string 0.124 s 0.194
2023-01-15 09:17 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-15 09:17 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 09:17 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.485
2023-01-15 09:17 JavaScript Table tracks, 1,000,000 0.095 s -0.221
2023-01-15 09:17 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.217
2023-01-15 09:17 JavaScript get Vector uint64Array 0.003 s 0.201
2023-01-15 09:17 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.664
2023-01-15 09:17 JavaScript get Vector int32Array 0.003 s 0.196
2023-01-15 09:17 JavaScript get Vector float32Array 0.002 s 0.453
2023-01-15 09:17 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.419
2023-01-15 09:17 JavaScript Parse read recordBatches, tracks 0.000 s -1.348
2023-01-15 09:17 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-15 09:17 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 09:17 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.152
2023-01-15 09:17 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.433
2023-01-15 09:17 JavaScript Table tracks, 1,000,000 0.050 s 0.916
2023-01-15 09:17 JavaScript Table 1,000,000, tracks 0.296 s -0.921
2023-01-15 09:17 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.603
2023-01-15 09:17 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.195
2023-01-15 09:17 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.004