Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-13 12:32 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.405 s 1.276
2023-01-13 12:35 Python dataframe-to-table type_dict 0.011 s 0.595
2023-01-13 12:40 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 87.940 s -0.828
2023-01-13 12:30 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.789 s -0.583
2023-01-13 12:35 Python dataframe-to-table type_floats 0.010 s 0.302
2023-01-13 12:32 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.652 s -5.379
2023-01-13 12:33 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.429 s 1.081
2023-01-13 12:35 Python dataframe-to-table type_nested 2.948 s 1.239
2023-01-13 12:35 Python dataset-filter nyctaxi_2010-01 1.024 s -0.364
2023-01-13 12:32 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.453 s -2.118
2023-01-13 12:30 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.418 s -1.213
2023-01-13 12:35 Python dataframe-to-table chi_traffic_2020_Q1 21.126 s 0.270
2023-01-13 12:35 Python dataframe-to-table type_strings 0.426 s 0.602
2023-01-13 12:35 Python dataframe-to-table type_integers 0.010 s 1.216
2023-01-13 12:31 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.116 s -1.184
2023-01-13 12:31 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.057 s -1.137
2023-01-13 12:44 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.895 s 0.838
2023-01-13 12:56 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.022 s 0.997
2023-01-13 12:56 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.180 s 0.140
2023-01-13 12:57 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.050
2023-01-13 12:56 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.305 s -1.072
2023-01-13 12:56 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.132 s -0.056
2023-01-13 12:56 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.015 s 0.315
2023-01-13 12:56 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.196 s 0.259
2023-01-13 12:55 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.207 s 0.791
2023-01-13 12:56 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.216 s -0.752
2023-01-13 12:58 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.518 s 0.914
2023-01-13 12:56 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.683 s 0.132
2023-01-13 12:56 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 1.075
2023-01-13 13:01 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.149 s 0.653
2023-01-13 12:55 Python dataset-read async=True, nyctaxi_multi_ipc_s3 223.485 s -0.212
2023-01-13 12:56 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.171 s -0.750
2023-01-13 13:01 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.252 s -2.393
2023-01-13 12:57 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.756 s 0.990
2023-01-13 12:56 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.304 s 0.161
2023-01-13 12:56 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.027 s 0.273
2023-01-13 12:57 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.928 s -2.319
2023-01-13 12:57 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.062
2023-01-13 13:01 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.146 s 1.278
2023-01-13 13:14 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.400 s 2.377
2023-01-13 13:25 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.940 s 0.288
2023-01-13 13:10 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.384
2023-01-13 13:30 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.262 s -0.113
2023-01-13 13:33 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.401
2023-01-13 13:43 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.588 s -0.743
2023-01-13 13:14 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.843 s -2.912
2023-01-13 13:15 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.403 s 2.281
2023-01-13 13:10 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.046 s -3.111
2023-01-13 13:09 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.865 s 0.898
2023-01-13 13:43 R dataframe-to-table type_nested, R 0.575 s -0.593
2023-01-13 13:09 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -2.634
2023-01-13 13:10 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.226 s -1.470
2023-01-13 13:25 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.987 s -0.130
2023-01-13 13:25 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.948 s -0.212
2023-01-13 13:26 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.728 s -2.184
2023-01-13 13:09 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.025
2023-01-13 13:25 Python file-read lz4, feather, table, nyctaxi_2010-01 0.876 s -1.851
2023-01-13 13:24 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.499 s -0.045
2023-01-13 13:25 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.669 s -3.618
2023-01-13 13:09 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.069
2023-01-13 13:11 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.680 s 1.028
2023-01-13 13:28 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.947 s -2.912
2023-01-13 13:42 R dataframe-to-table type_dict, R 0.047 s 1.643
2023-01-13 13:44 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.236
2023-01-13 13:44 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.594 s 0.313
2023-01-13 13:09 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.895 s 0.975
2023-01-13 13:23 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.134 s 1.096
2023-01-13 13:25 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.997 s -0.285
2023-01-13 13:31 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.888 s 0.347
2023-01-13 13:32 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.874 s -1.961
2023-01-13 13:33 Python wide-dataframe use_legacy_dataset=false 0.516 s 0.093
2023-01-13 13:48 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.859 s -2.588
2023-01-13 13:27 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.314 s -1.833
2023-01-13 13:24 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.618 s 0.153
2023-01-13 13:33 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.199 s -0.061
2023-01-13 13:45 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.581 s 0.277
2023-01-13 13:24 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.640 s 0.124
2023-01-13 13:24 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.317 s 0.356
2023-01-13 13:33 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.102 s -0.000
2023-01-13 13:43 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.340 s -0.871
2023-01-13 13:44 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.843 s 0.283
2023-01-13 13:25 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.210 s 0.701
2023-01-13 13:25 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.310
2023-01-13 13:24 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.627 s 0.400
2023-01-13 13:45 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.337
2023-01-13 13:45 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.809 s 0.329
2023-01-13 13:24 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.503 s -0.353
2023-01-13 13:29 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.277 s -0.069
2023-01-13 13:30 Python file-write lz4, feather, table, fanniemae_2016Q4 1.876 s -0.308
2023-01-13 13:31 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.502 s -2.048
2023-01-13 13:42 R dataframe-to-table type_strings, R 0.534 s 0.166
2023-01-13 13:44 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.566 s -0.245
2023-01-13 13:45 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.914 s -0.230
2023-01-13 13:24 Python file-read lz4, feather, table, fanniemae_2016Q4 0.820 s 0.226
2023-01-13 13:25 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.946 s -0.175
2023-01-13 13:44 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.910 s -0.142
2023-01-13 13:33 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.725 s -0.119
2023-01-13 13:42 R dataframe-to-table chi_traffic_2020_Q1, R 4.442 s -3.718
2023-01-13 13:31 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.979 s -1.512
2023-01-13 13:42 R dataframe-to-table type_integers, R 0.010 s 0.002
2023-01-13 13:44 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.270
2023-01-13 13:46 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.897 s -2.813
2023-01-13 13:29 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.440 s -1.679
2023-01-13 13:32 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.379 s -2.072
2023-01-13 13:42 R dataframe-to-table type_floats, R 0.013 s 0.643
2023-01-13 13:52 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.954 s 0.743
2023-01-13 13:43 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.570 s -0.100
2023-01-13 13:33 Python file-write lz4, feather, table, nyctaxi_2010-01 1.786 s 0.003
2023-01-13 13:43 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.317 s 0.019
2023-01-13 13:45 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.572 s -0.455
2023-01-13 13:53 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.041 s -0.099
2023-01-13 13:45 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.897 s 0.297
2023-01-13 13:49 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.315 s -2.804
2023-01-13 13:51 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.340 s -2.818
2023-01-13 13:54 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.495 s -0.622
2023-01-13 13:56 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.074 s -3.452
2023-01-13 13:55 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.504 s -0.152
2023-01-13 13:57 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.905 s -3.406
2023-01-13 13:58 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.812 s -3.458
2023-01-13 13:59 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.866 s -3.570
2023-01-13 14:00 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s 0.439
2023-01-13 14:01 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.184 s -0.794
2023-01-13 14:02 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s 0.093
2023-01-13 14:03 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.094 s -1.445
2023-01-13 14:04 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.201 s 0.136
2023-01-13 14:03 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.557 s 0.210
2023-01-13 14:03 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.604 s -0.556
2023-01-13 14:03 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.603 s -1.177
2023-01-13 14:05 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.643 s 0.824
2023-01-13 14:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.297 s 0.406
2023-01-13 14:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.632 s 0.287
2023-01-13 14:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s 0.390
2023-01-13 14:03 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.256 s -0.669
2023-01-13 14:04 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.160
2023-01-13 14:04 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.238
2023-01-13 14:11 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.623 s 0.623
2023-01-13 14:04 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.583 s 0.067
2023-01-13 14:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.389 s -2.110
2023-01-13 14:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.307 s -0.414
2023-01-13 14:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.237
2023-01-13 14:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.237
2023-01-13 14:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.159 s 0.292
2023-01-13 14:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.651 s 0.327
2023-01-13 14:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.320
2023-01-13 14:25 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.863 s -0.800
2023-01-13 14:34 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.435 s 0.592
2023-01-13 14:04 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.196
2023-01-13 14:08 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.454 s 0.327
2023-01-13 14:10 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.182 s 0.139
2023-01-13 14:15 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.784 s 0.075
2023-01-13 14:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.426 s 0.237
2023-01-13 14:19 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.946 s 0.715
2023-01-13 14:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.530 s 0.291
2023-01-13 14:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s -0.040
2023-01-13 14:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.255 s 0.216
2023-01-13 14:05 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.171
2023-01-13 14:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.202
2023-01-13 14:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.234 s 0.145
2023-01-13 14:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.240 s 0.298
2023-01-13 14:13 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.368 s -0.781
2023-01-13 14:15 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.391 s 0.311
2023-01-13 14:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.317 s 0.380
2023-01-13 14:12 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.177 s 0.334
2023-01-13 14:13 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.505 s -3.914
2023-01-13 14:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.369 s 0.276
2023-01-13 14:22 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.165 s 0.144
2023-01-13 14:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.251 s 0.333
2023-01-13 14:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.524 s 0.263
2023-01-13 14:54 JavaScript Spread Vector dictionary 0.010 s -0.406
2023-01-13 14:54 JavaScript toArray Vector int8Array
2023-01-13 14:04 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.013
2023-01-13 14:10 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.232
2023-01-13 14:11 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.630 s 0.203
2023-01-13 14:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.360 s 0.318
2023-01-13 14:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.371 s 0.215
2023-01-13 14:54 JavaScript Iterate Vector uint8Array 0.002 s -0.577
2023-01-13 14:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.260 s 0.234
2023-01-13 14:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.187
2023-01-13 14:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.047
2023-01-13 14:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.441 s -0.133
2023-01-13 14:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.967 s -0.079
2023-01-13 14:39 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.393 s 0.194
2023-01-13 14:39 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.732 s -0.640
2023-01-13 14:05 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.279 s 0.070
2023-01-13 14:07 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.267 s 0.279
2023-01-13 14:08 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.895 s 0.362
2023-01-13 14:09 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.268 s 0.388
2023-01-13 14:16 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.367 s 0.274
2023-01-13 14:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.371 s 0.327
2023-01-13 14:19 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.243
2023-01-13 14:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.426 s -0.237
2023-01-13 14:27 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.709 s 0.452
2023-01-13 14:29 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.735 s -2.241
2023-01-13 14:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.401 s -5.165
2023-01-13 14:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.266 s 0.237
2023-01-13 14:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.152
2023-01-13 14:38 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.176
2023-01-13 14:54 JavaScript Table tracks, 1,000,000 0.273 s -0.146
2023-01-13 14:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.659 s -0.824
2023-01-13 14:07 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.187
2023-01-13 14:08 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.197 s 0.278
2023-01-13 14:14 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.451 s -2.631
2023-01-13 14:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.202
2023-01-13 14:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.236 s 0.035
2023-01-13 14:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.324 s 0.291
2023-01-13 14:05 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s -0.231
2023-01-13 14:05 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.288 s 0.180
2023-01-13 14:07 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.302 s 0.225
2023-01-13 14:22 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.868 s -0.043
2023-01-13 14:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.264 s 0.216
2023-01-13 14:30 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.282 s 0.332
2023-01-13 14:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.182
2023-01-13 14:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.349 s 0.255
2023-01-13 14:16 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s 0.194
2023-01-13 14:17 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 4.122 s -3.501
2023-01-13 14:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.320 s 0.245
2023-01-13 14:21 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.305 s 0.164
2023-01-13 14:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.199
2023-01-13 14:10 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.918 s -0.087
2023-01-13 14:10 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.245
2023-01-13 14:23 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.862 s 0.329
2023-01-13 14:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.335 s 0.122
2023-01-13 14:31 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.048 s 0.271
2023-01-13 14:32 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.097
2023-01-13 14:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.211 s 0.120
2023-01-13 14:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.272 s 0.148
2023-01-13 14:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.491 s -6.513
2023-01-13 14:54 JavaScript Table 1,000,000, tracks 0.269 s 0.189
2023-01-13 14:07 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.052 s -0.315
2023-01-13 14:07 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.582 s 0.179
2023-01-13 14:10 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.311 s 0.323
2023-01-13 14:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s 0.304
2023-01-13 14:21 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.701 s 0.074
2023-01-13 14:26 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.215 s -0.040
2023-01-13 14:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.284
2023-01-13 14:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.887 s -0.085
2023-01-13 14:06 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.389 s -4.573
2023-01-13 14:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.209 s 0.174
2023-01-13 14:21 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.332 s -0.136
2023-01-13 14:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.250 s 0.330
2023-01-13 14:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.283 s 0.256
2023-01-13 14:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.321 s 0.125
2023-01-13 14:39 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.794 s -0.099
2023-01-13 14:40 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.130 s -0.779
2023-01-13 14:15 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.523 s 0.442
2023-01-13 14:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.439 s 0.242
2023-01-13 14:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.258 s 0.212
2023-01-13 14:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.475 s 0.037
2023-01-13 14:25 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.590 s 0.154
2023-01-13 14:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.256
2023-01-13 14:32 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.712 s 0.208
2023-01-13 14:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.540 s -0.160
2023-01-13 14:35 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.887 s -0.207
2023-01-13 14:38 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.980 s -0.274
2023-01-13 14:15 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.163
2023-01-13 14:15 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.338 s 0.235
2023-01-13 14:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.313
2023-01-13 14:19 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.071 s 0.209
2023-01-13 14:20 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.648 s 0.216
2023-01-13 14:24 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.188 s 0.126
2023-01-13 14:27 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.529 s 0.120
2023-01-13 14:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.240 s 0.263
2023-01-13 14:06 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.547 s -5.395
2023-01-13 14:09 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.328 s 0.311
2023-01-13 14:10 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.349 s 0.270
2023-01-13 14:12 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.501 s 0.325
2023-01-13 14:14 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.291 s 0.285
2023-01-13 14:18 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.293 s 0.403
2023-01-13 14:19 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.191
2023-01-13 14:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.149
2023-01-13 14:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.299 s 0.261
2023-01-13 14:23 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.543 s -1.058
2023-01-13 14:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.211
2023-01-13 14:44 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.688 s -0.746
2023-01-13 14:13 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.357 s -2.314
2023-01-13 14:29 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.618 s -0.099
2023-01-13 14:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.297
2023-01-13 14:54 JavaScript Iterate Vector int16Array 0.002 s 0.211
2023-01-13 14:54 JavaScript Iterate Vector int64Array 0.004 s 0.191
2023-01-13 14:17 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.645 s -2.235
2023-01-13 14:18 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.763 s 0.330
2023-01-13 14:20 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.878 s 0.224
2023-01-13 14:26 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.527 s -1.225
2023-01-13 14:28 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.580 s 0.247
2023-01-13 14:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.318 s 0.315
2023-01-13 14:33 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.326
2023-01-13 14:37 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.431 s -2.671
2023-01-13 14:42 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.825 s -0.366
2023-01-13 14:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.307 s 0.236
2023-01-13 14:54 JavaScript vectorFromArray booleans 0.019 s -2.557
2023-01-13 14:54 JavaScript Iterate Vector dictionary 0.004 s -0.286
2023-01-13 14:17 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.328 s -2.441
2023-01-13 14:24 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.328 s 0.312
2023-01-13 14:28 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.224
2023-01-13 14:36 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.646 s -2.094
2023-01-13 14:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.225 s 0.291
2023-01-13 14:54 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.715
2023-01-13 14:54 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.116
2023-01-13 14:54 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 14:54 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.375
2023-01-13 14:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.929 s 0.023
2023-01-13 14:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.285 s -3.762
2023-01-13 14:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.254 s -1.262
2023-01-13 14:30 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.327 s 0.091
2023-01-13 14:34 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.218 s 0.435
2023-01-13 14:31 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.219 s 0.197
2023-01-13 14:45 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.201 s 0.341
2023-01-13 14:54 JavaScript vectorFromArray numbers 0.016 s -0.451
2023-01-13 14:54 JavaScript Spread Vector uint64Array 0.012 s -0.051
2023-01-13 14:54 JavaScript Spread Vector int64Array 0.012 s 0.142
2023-01-13 14:54 JavaScript Spread Vector float64Array 0.008 s -1.374
2023-01-13 14:37 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.256 s 0.173
2023-01-13 14:54 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-13 14:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.440 s 0.211
2023-01-13 14:39 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.002 s -0.031
2023-01-13 14:39 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.451 s -0.060
2023-01-13 14:44 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.173
2023-01-13 14:54 JavaScript Spread Vector uint32Array 0.007 s -0.057
2023-01-13 14:54 JavaScript Spread Vector int8Array 0.007 s -0.715
2023-01-13 14:38 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.259
2023-01-13 14:40 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.880 s -0.645
2023-01-13 14:45 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.301 s 0.066
2023-01-13 14:54 JavaScript Spread Vector uint16Array 0.007 s -0.274
2023-01-13 14:45 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.258 s 0.276
2023-01-13 14:54 JavaScript vectorFromArray dictionary 0.017 s 0.593
2023-01-13 14:54 JavaScript Iterate Vector uint16Array 0.002 s 0.124
2023-01-13 14:54 JavaScript Iterate Vector uint64Array 0.004 s 0.236
2023-01-13 14:54 JavaScript Iterate Vector float64Array 0.002 s 0.664
2023-01-13 14:54 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.557
2023-01-13 14:45 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.447 s 0.318
2023-01-13 14:54 JavaScript toArray Vector booleans 0.010 s -1.557
2023-01-13 14:54 JavaScript toArray Vector string 0.146 s -0.179
2023-01-13 14:54 JavaScript get Vector uint16Array 0.003 s 0.198
2023-01-13 14:54 JavaScript get Vector uint64Array 0.003 s 0.339
2023-01-13 14:54 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.775
2023-01-13 14:54 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.620
2023-01-13 14:54 JavaScript Iterate Vector uint32Array 0.002 s 0.551
2023-01-13 14:54 JavaScript Iterate Vector int8Array 0.002 s 0.604
2023-01-13 14:54 JavaScript Iterate Vector int32Array 0.002 s 0.524
2023-01-13 14:54 JavaScript Iterate Vector float32Array 0.002 s 0.438
2023-01-13 14:54 JavaScript Iterate Vector numbers 0.002 s 0.599
2023-01-13 14:54 JavaScript toArray Vector uint32Array
2023-01-13 14:54 JavaScript toArray Vector int32Array
2023-01-13 14:54 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.466
2023-01-13 14:54 JavaScript Iterate Vector booleans 0.004 s -2.672
2023-01-13 14:54 JavaScript Iterate Vector string 0.127 s -0.139
2023-01-13 14:54 JavaScript Spread Vector int16Array 0.007 s -0.292
2023-01-13 14:54 JavaScript get Vector int64Array 0.003 s 0.231
2023-01-13 14:54 JavaScript get Vector float64Array 0.002 s 0.216
2023-01-13 14:54 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 4.163
2023-01-13 14:54 JavaScript Spread Vector uint8Array 0.007 s -0.508
2023-01-13 14:54 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-13 14:54 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.911
2023-01-13 14:54 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.546
2023-01-13 14:54 JavaScript Spread Vector int32Array 0.007 s -0.565
2023-01-13 14:54 JavaScript Spread Vector numbers 0.008 s -1.150
2023-01-13 14:54 JavaScript toArray Vector uint8Array
2023-01-13 14:54 JavaScript get Vector uint8Array 0.003 s 0.155
2023-01-13 14:54 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.739
2023-01-13 14:54 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -1.178
2023-01-13 14:54 JavaScript Spread Vector float32Array 0.008 s -1.590
2023-01-13 14:54 JavaScript toArray Vector numbers
2023-01-13 14:54 JavaScript toArray Vector dictionary 0.010 s -0.136
2023-01-13 14:54 JavaScript get Vector float32Array 0.002 s 0.914
2023-01-13 14:54 JavaScript Table tracks, 1,000,000 0.050 s 0.543
2023-01-13 14:54 JavaScript Spread Vector booleans 0.010 s 0.565
2023-01-13 14:54 JavaScript Spread Vector string 0.146 s -0.213
2023-01-13 14:54 JavaScript toArray Vector uint16Array
2023-01-13 14:54 JavaScript toArray Vector uint64Array
2023-01-13 14:54 JavaScript toArray Vector int16Array
2023-01-13 14:54 JavaScript toArray Vector int64Array
2023-01-13 14:54 JavaScript toArray Vector float64Array
2023-01-13 14:54 JavaScript get Vector int16Array 0.003 s 0.130
2023-01-13 14:54 JavaScript get Vector booleans 0.002 s -0.634
2023-01-13 14:54 JavaScript get Vector string 0.125 s -0.120
2023-01-13 14:54 JavaScript toArray Vector float32Array
2023-01-13 14:54 JavaScript get Vector uint32Array 0.003 s 0.190
2023-01-13 14:54 JavaScript get Vector int8Array 0.003 s 0.192
2023-01-13 14:54 JavaScript get Vector int32Array 0.003 s 0.172
2023-01-13 14:54 JavaScript get Vector numbers 0.002 s -0.517
2023-01-13 14:54 JavaScript get Vector dictionary 0.002 s -2.259
2023-01-13 14:54 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.456
2023-01-13 14:54 JavaScript Parse read recordBatches, tracks 0.000 s -2.346
2023-01-13 14:54 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.475
2023-01-13 14:54 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.058
2023-01-13 14:54 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.440
2023-01-13 14:54 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.546
2023-01-13 14:54 JavaScript Parse write recordBatches, tracks 0.002 s 1.092
2023-01-13 14:54 JavaScript Table tracks, 1,000,000 0.095 s 0.636
2023-01-13 14:54 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 14:54 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.086
2023-01-13 14:54 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.497