Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-20 03:39 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.244 s 0.161
2023-01-20 03:41 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.116 s 0.216
2023-01-20 03:39 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.783 s -0.010
2023-01-20 03:40 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.264 s -1.383
2023-01-20 03:40 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.223 s -1.331
2023-01-20 03:41 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.437 s 0.110
2023-01-20 03:42 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.380 s 1.117
2023-01-20 03:42 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.356 s 1.030
2023-01-20 03:44 Python dataframe-to-table chi_traffic_2020_Q1 21.062 s -0.059
2023-01-20 03:44 Python dataframe-to-table type_dict 0.011 s 0.745
2023-01-20 03:44 Python dataframe-to-table type_strings 0.433 s -2.048
2023-01-20 03:44 Python dataframe-to-table type_integers 0.010 s -0.840
2023-01-20 03:44 Python dataframe-to-table type_floats 0.010 s 0.214
2023-01-20 03:44 Python dataframe-to-table type_nested 2.963 s 0.160
2023-01-20 03:44 Python dataset-filter nyctaxi_2010-01 1.031 s -0.350
2023-01-20 03:49 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 92.288 s -1.149
2023-01-20 04:05 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.718 s -2.544
2023-01-20 04:05 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.318 s 0.056
2023-01-20 04:05 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.046 s 0.217
2023-01-20 03:53 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.781 s 0.602
2023-01-20 04:04 Python dataset-read async=True, nyctaxi_multi_ipc_s3 220.527 s 0.394
2023-01-20 04:05 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.659 s 0.263
2023-01-20 04:06 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.304 s 0.984
2023-01-20 04:06 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.720
2023-01-20 04:05 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.050 s 0.203
2023-01-20 04:06 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.910 s 0.921
2023-01-20 04:06 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.264
2023-01-20 04:05 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.174 s 0.253
2023-01-20 04:06 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.138 s -0.023
2023-01-20 04:06 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.399
2023-01-20 04:10 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.088 s 0.806
2023-01-20 04:05 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.227 s 0.122
2023-01-20 04:05 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.213 s -0.328
2023-01-20 04:07 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.262 s 2.180
2023-01-20 04:10 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.152 s -1.334
2023-01-20 04:18 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.283 s 0.285
2023-01-20 04:18 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.027 s -1.902
2023-01-20 04:05 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.178 s -0.559
2023-01-20 04:06 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.730 s 2.216
2023-01-20 04:06 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.041
2023-01-20 04:11 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.152 s -0.387
2023-01-20 04:18 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.835 s 2.213
2023-01-20 04:19 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.265
2023-01-20 04:19 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.007 s 0.385
2023-01-20 04:18 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.322 s 2.190
2023-01-20 04:18 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.178
2023-01-20 04:19 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s -0.262
2023-01-20 04:20 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.378 s 2.225
2023-01-20 04:23 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.411 s -1.186
2023-01-20 04:23 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.497 s 0.353
2023-01-20 04:23 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.416 s -2.047
2023-01-20 04:33 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.519 s -0.921
2023-01-20 04:32 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.142 s 2.222
2023-01-20 04:32 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.655 s -0.094
2023-01-20 04:32 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.526 s -0.995
2023-01-20 04:32 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.636 s -0.059
2023-01-20 04:33 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.312 s 0.292
2023-01-20 04:33 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.307 s -1.984
2023-01-20 04:33 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.709 s 0.060
2023-01-20 04:33 Python file-read lz4, feather, table, fanniemae_2016Q4 0.814 s 0.268
2023-01-20 04:34 Python file-read lz4, feather, table, nyctaxi_2010-01 0.669 s 0.346
2023-01-20 04:34 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.940 s -0.032
2023-01-20 04:34 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.985 s -0.055
2023-01-20 04:34 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.926 s 0.162
2023-01-20 04:34 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.941 s 0.240
2023-01-20 04:33 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.997 s -0.190
2023-01-20 04:34 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.333 s 0.271
2023-01-20 04:34 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.578 s 0.335
2023-01-20 04:35 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.551 s 0.024
2023-01-20 04:36 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.093 s -0.016
2023-01-20 04:36 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.737 s 0.092
2023-01-20 04:37 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.304 s -0.191
2023-01-20 04:38 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.417 s -0.328
2023-01-20 04:39 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.462 s -0.569
2023-01-20 04:39 Python file-write lz4, feather, table, fanniemae_2016Q4 1.879 s -0.318
2023-01-20 04:39 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.941 s -0.426
2023-01-20 04:40 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.828 s 0.040
2023-01-20 04:40 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.289 s 0.165
2023-01-20 04:40 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.715 s 0.030
2023-01-20 04:41 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.192 s 0.110
2023-01-20 04:41 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.757 s -0.265
2023-01-20 04:42 Python file-write lz4, feather, table, nyctaxi_2010-01 1.803 s -0.291
2023-01-20 04:42 Python wide-dataframe use_legacy_dataset=false 0.516 s 0.038
2023-01-20 04:41 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.191 s -0.422
2023-01-20 04:42 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.214 s -0.244
2023-01-20 04:42 Python wide-dataframe use_legacy_dataset=true 0.378 s 0.062
2023-01-20 04:54 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.214 s 0.234
2023-01-20 04:51 R dataframe-to-table type_floats, R 0.013 s 0.044
2023-01-20 04:54 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 1.480 s -3.053
2023-01-20 04:58 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.133 s -0.016
2023-01-20 05:02 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.041 s -0.170
2023-01-20 04:50 R dataframe-to-table type_strings, R 0.536 s -0.323
2023-01-20 04:52 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.603 s -1.621
2023-01-20 04:53 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.928 s -0.735
2023-01-20 05:00 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.960 s -0.014
2023-01-20 04:51 R dataframe-to-table type_nested, R 0.574 s -0.172
2023-01-20 04:53 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.587 s 0.267
2023-01-20 05:02 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.412
2023-01-20 04:50 R dataframe-to-table chi_traffic_2020_Q1, R 4.389 s -0.895
2023-01-20 04:52 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.344 s -1.472
2023-01-20 04:54 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.203
2023-01-20 05:05 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.958 s -0.143
2023-01-20 04:51 R dataframe-to-table type_dict, R 0.061 s -0.651
2023-01-20 04:51 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.350 s -1.766
2023-01-20 04:53 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.928 s -0.636
2023-01-20 04:54 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.818 s 0.230
2023-01-20 05:00 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.107 s 0.132
2023-01-20 04:51 R dataframe-to-table type_integers, R 0.010 s -0.023
2023-01-20 04:53 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.845 s 0.271
2023-01-20 04:55 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.704 s 0.047
2023-01-20 04:52 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.595 s -1.180
2023-01-20 04:53 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.576 s -0.616
2023-01-20 05:07 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.675 s 0.000
2023-01-20 04:52 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.311 s 0.221
2023-01-20 04:52 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.573 s 0.154
2023-01-20 04:57 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.646 s 0.157
2023-01-20 05:04 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.480 s 0.190
2023-01-20 05:13 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.248 s 0.008
2023-01-20 05:14 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 4.062 s -1.842
2023-01-20 05:14 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.364 s -0.916
2023-01-20 04:53 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.572 s -0.449
2023-01-20 05:06 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.772 s -0.072
2023-01-20 05:12 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.207 s -0.227
2023-01-20 05:16 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.595 s -0.194
2023-01-20 05:17 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.546 s -0.136
2023-01-20 05:08 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.739 s -0.168
2023-01-20 05:12 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.090 s -0.994
2023-01-20 05:12 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.252 s -0.056
2023-01-20 05:13 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.206 s -0.074
2023-01-20 05:13 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.280 s -0.451
2023-01-20 05:14 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.350 s -1.733
2023-01-20 05:16 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.244 s -0.518
2023-01-20 05:09 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.313 s -1.013
2023-01-20 05:11 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.275
2023-01-20 05:13 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.288 s -0.036
2023-01-20 05:14 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.304 s -1.430
2023-01-20 05:15 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.448 s -0.701
2023-01-20 05:15 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.681 s -1.695
2023-01-20 05:17 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.206 s -0.059
2023-01-20 05:19 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.271 s -1.558
2023-01-20 05:10 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.189 s -0.929
2023-01-20 05:17 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.239 s -0.019
2023-01-20 05:20 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.783 s -0.910
2023-01-20 05:22 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.249 s 0.165
2023-01-20 05:12 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.590 s 0.834
2023-01-20 05:14 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.009 s -1.333
2023-01-20 05:15 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.279 s -0.582
2023-01-20 05:21 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.183 s -0.378
2023-01-20 05:22 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.304 s -0.394
2023-01-20 05:12 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.569 s -0.446
2023-01-20 05:12 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.605 s -0.980
2023-01-20 05:14 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.294 s -7.873
2023-01-20 05:22 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.364 s -0.423
2023-01-20 05:23 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.792 s -0.415
2023-01-20 05:15 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.350 s -1.123
2023-01-20 05:15 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.240 s -1.473
2023-01-20 05:16 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.313 s -1.084
2023-01-20 05:17 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.203 s -0.046
2023-01-20 05:19 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.276 s -0.956
2023-01-20 05:13 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.595 s -0.555
2023-01-20 05:15 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.083 s -1.110
2023-01-20 05:16 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.313 s -0.144
2023-01-20 05:17 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.901 s -0.368
2023-01-20 05:20 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.218 s -0.503
2023-01-20 05:21 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.249 s -0.358
2023-01-20 05:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.352 s -0.975
2023-01-20 05:17 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.249 s -0.113
2023-01-20 05:18 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.335 s 0.006
2023-01-20 05:19 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.326 s -0.633
2023-01-20 05:19 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.363 s -0.491
2023-01-20 05:19 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.649 s -0.343
2023-01-20 05:22 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.386 s -0.117
2023-01-20 05:18 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.277 s -0.810
2023-01-20 05:18 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.917 s -0.299
2023-01-20 05:20 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.644 s -0.616
2023-01-20 05:22 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.352 s -0.091
2023-01-20 05:23 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.672 s -0.114
2023-01-20 05:18 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.208 s -0.450
2023-01-20 05:20 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.167 s -0.238
2023-01-20 05:21 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.166 s -0.219
2023-01-20 05:19 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.332 s -1.001
2023-01-20 05:21 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.516 s -0.279
2023-01-20 05:21 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.358 s -0.255
2023-01-20 05:23 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.619 s 0.040
2023-01-20 05:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.444 s -0.409
2023-01-20 05:22 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.305 s -0.454
2023-01-20 05:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.411 s -0.335
2023-01-20 05:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.359 s -1.112
2023-01-20 05:24 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.389 s -1.155
2023-01-20 05:24 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.731 s -0.338
2023-01-20 05:25 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.633 s -2.116
2023-01-20 05:25 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.760 s -0.004
2023-01-20 05:26 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.452 s -0.961
2023-01-20 05:25 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.287 s -0.888
2023-01-20 05:26 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.306 s -0.532
2023-01-20 05:25 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.337 s -0.274
2023-01-20 05:26 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.384 s -0.188
2023-01-20 05:26 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.782 s -0.274
2023-01-20 05:27 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.269 s -1.047
2023-01-20 05:27 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.976 s -1.147
2023-01-20 05:27 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.130 s 0.064
2023-01-20 05:27 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.313 s -0.259
2023-01-20 05:28 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.336 s -2.669
2023-01-20 05:27 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.277 s -1.035
2023-01-20 05:28 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.348 s -0.299
2023-01-20 05:28 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.659 s -0.389
2023-01-20 05:28 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.887 s -1.662
2023-01-20 05:29 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.727 s 0.169
2023-01-20 05:29 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.313 s -0.206
2023-01-20 05:29 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.274 s -0.387
2023-01-20 05:29 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.218 s -0.386
2023-01-20 05:29 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.239 s -0.369
2023-01-20 05:29 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.336 s -0.564
2023-01-20 05:30 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.874 s -0.487
2023-01-20 05:30 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.551 s -0.471
2023-01-20 05:30 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.293 s -0.708
2023-01-20 05:30 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.219 s -0.424
2023-01-20 05:30 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.267 s -0.301
2023-01-20 05:31 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.378 s -0.393
2023-01-20 05:31 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.315 s -0.980
2023-01-20 05:31 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.506 s -1.504
2023-01-20 05:32 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.698 s -1.181
2023-01-20 05:31 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.939 s -0.595
2023-01-20 05:32 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.561 s -0.394
2023-01-20 05:32 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.194 s -0.383
2023-01-20 05:32 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.246 s -0.188
2023-01-20 05:33 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.343 s -0.873
2023-01-20 05:33 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.619 s -1.050
2023-01-20 05:33 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.433 s -0.184
2023-01-20 05:33 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.451 s -1.138
2023-01-20 05:33 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.867 s -0.158
2023-01-20 05:34 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.279 s -0.067
2023-01-20 05:34 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.224 s -0.109
2023-01-20 05:35 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.450 s -0.400
2023-01-20 05:34 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.522 s -0.108
2023-01-20 05:34 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.346 s -0.161
2023-01-20 05:34 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.250 s -0.126
2023-01-20 05:35 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.951 s -0.171
2023-01-20 05:36 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.249 s -0.078
2023-01-20 05:35 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.620 s -1.265
2023-01-20 05:36 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.293 s 0.045
2023-01-20 05:36 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.014 s -0.266
2023-01-20 05:36 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.261 s 0.068
2023-01-20 05:36 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.216 s -0.031
2023-01-20 05:36 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.218 s -0.021
2023-01-20 05:37 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.594 s -0.017
2023-01-20 05:37 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.592 s 0.010
2023-01-20 05:37 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.629 s -0.574
2023-01-20 05:37 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.202 s -0.062
2023-01-20 05:38 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.354 s -2.066
2023-01-20 05:38 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.248 s -0.026
2023-01-20 05:38 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.228 s -0.152
2023-01-20 05:38 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.396 s -4.078
2023-01-20 05:38 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.642 s -2.788
2023-01-20 05:39 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.894 s -0.441
2023-01-20 05:39 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.109 s -0.010
2023-01-20 05:39 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.232 s -0.352
2023-01-20 05:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.323 s -4.647
2023-01-20 05:40 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.349 s -4.808
2023-01-20 05:39 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.366 s -2.601
2023-01-20 05:40 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.463 s -3.920
2023-01-20 05:41 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.683 s -0.928
2023-01-20 05:40 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.089 s -1.853
2023-01-20 05:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.257 s -4.214
2023-01-20 05:41 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 8.115 s -3.600
2023-01-20 05:43 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.548 s -0.136
2023-01-20 05:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.216 s -0.160
2023-01-20 05:42 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.413 s -0.332
2023-01-20 05:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.274 s -0.015
2023-01-20 05:42 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.350 s -2.996
2023-01-20 05:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.287 s -0.774
2023-01-20 05:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.387 s -0.877
2023-01-20 05:48 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.209 s -0.687
2023-01-20 05:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.458 s -0.768
2023-01-20 05:44 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.335 s -0.396
2023-01-20 05:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.273 s -1.073
2023-01-20 05:46 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.275 s -1.373
2023-01-20 05:49 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.796 s -8.145
2023-01-20 05:43 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.472 s -0.523
2023-01-20 05:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.454 s -1.010
2023-01-20 05:54 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.821 s -0.230
2023-01-20 05:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.464 s -0.489
2023-01-20 06:03 JavaScript Spread Vector booleans 0.010 s 0.147
2023-01-20 06:03 JavaScript Iterate Vector int8Array 0.002 s 0.839
2023-01-20 05:45 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.678 s -1.490
2023-01-20 05:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.254 s -0.191
2023-01-20 05:44 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.344 s -0.432
2023-01-20 05:45 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.351 s -0.759
2023-01-20 05:48 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.467 s -17.284
2023-01-20 05:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.206 s -0.458
2023-01-20 05:55 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.320 s -1.218
2023-01-20 06:03 JavaScript Spread Vector uint8Array 0.006 s 0.221
2023-01-20 05:46 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.422 s -0.608
2023-01-20 05:46 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.337 s -0.673
2023-01-20 05:47 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.990 s -0.667
2023-01-20 05:55 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.331 s -0.105
2023-01-20 06:03 JavaScript Spread Vector uint16Array 0.006 s 0.400
2023-01-20 05:47 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.305 s -1.638
2023-01-20 05:47 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.620 s -2.086
2023-01-20 05:52 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.947 s -0.269
2023-01-20 05:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.211 s -0.315
2023-01-20 05:54 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.234 s -0.457
2023-01-20 06:03 JavaScript Iterate Vector numbers 0.002 s 0.846
2023-01-20 06:03 JavaScript Spread Vector dictionary 0.010 s 0.229
2023-01-20 05:44 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.905 s -2.803
2023-01-20 05:54 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.272 s -0.222
2023-01-20 06:03 JavaScript vectorFromArray numbers 0.016 s 0.328
2023-01-20 06:03 JavaScript Iterate Vector float64Array 0.002 s 0.865
2023-01-20 06:04 JavaScript Parse write recordBatches, tracks 0.002 s -1.442
2023-01-20 05:49 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.887 s -4.623
2023-01-20 05:49 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.165 s -0.540
2023-01-20 06:03 JavaScript Iterate Vector uint16Array 0.002 s 0.476
2023-01-20 06:03 JavaScript Iterate Vector uint64Array 0.004 s 0.163
2023-01-20 06:03 JavaScript Spread Vector string 0.146 s 0.069
2023-01-20 05:48 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.544 s -6.258
2023-01-20 05:49 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.933 s -2.271
2023-01-20 06:03 JavaScript vectorFromArray booleans 0.018 s 0.375
2023-01-20 06:03 JavaScript Iterate Vector uint32Array 0.002 s 0.832
2023-01-20 06:03 JavaScript Iterate Vector int32Array 0.002 s 0.717
2023-01-20 06:03 JavaScript Iterate Vector uint8Array 0.002 s 0.086
2023-01-20 06:03 JavaScript Iterate Vector float32Array 0.002 s 0.823
2023-01-20 06:03 JavaScript Iterate Vector dictionary 0.004 s 0.531
2023-01-20 06:03 JavaScript toArray Vector uint8Array
2023-01-20 06:03 JavaScript toArray Vector uint32Array
2023-01-20 06:03 JavaScript vectorFromArray dictionary 0.017 s -0.238
2023-01-20 06:03 JavaScript Iterate Vector int16Array 0.002 s 0.584
2023-01-20 06:03 JavaScript Iterate Vector booleans 0.004 s -1.895
2023-01-20 06:03 JavaScript Iterate Vector string 0.125 s 0.676
2023-01-20 06:03 JavaScript Spread Vector uint64Array 0.012 s -0.344
2023-01-20 06:03 JavaScript toArray Vector uint64Array
2023-01-20 06:04 JavaScript get Vector string 0.124 s 0.371
2023-01-20 06:03 JavaScript Iterate Vector int64Array 0.004 s 0.638
2023-01-20 06:03 JavaScript Spread Vector float64Array 0.008 s 0.680
2023-01-20 06:03 JavaScript get Vector uint16Array 0.003 s 0.138
2023-01-20 06:04 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.031 s 0.609
2023-01-20 06:03 JavaScript Spread Vector uint32Array 0.007 s 0.511
2023-01-20 06:03 JavaScript Spread Vector int8Array 0.006 s -0.012
2023-01-20 06:03 JavaScript get Vector numbers 0.002 s -0.303
2023-01-20 06:04 JavaScript get Vector dictionary 0.002 s -0.986
2023-01-20 06:04 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.546
2023-01-20 06:04 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.038 s 0.785
2023-01-20 06:03 JavaScript Spread Vector int16Array 0.006 s 0.567
2023-01-20 06:03 JavaScript Spread Vector int64Array 0.012 s -0.159
2023-01-20 06:03 JavaScript toArray Vector booleans 0.010 s -1.013
2023-01-20 06:03 JavaScript get Vector int64Array 0.003 s 0.062
2023-01-20 06:03 JavaScript get Vector float64Array 0.002 s -0.228
2023-01-20 06:04 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-20 06:03 JavaScript Spread Vector int32Array 0.007 s -0.015
2023-01-20 06:03 JavaScript Spread Vector float32Array 0.008 s 0.417
2023-01-20 06:03 JavaScript Spread Vector numbers 0.008 s 0.544
2023-01-20 06:03 JavaScript toArray Vector int32Array
2023-01-20 06:03 JavaScript get Vector uint8Array 0.003 s 0.237
2023-01-20 06:03 JavaScript toArray Vector uint16Array
2023-01-20 06:03 JavaScript toArray Vector string 0.148 s -1.310
2023-01-20 06:04 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.068
2023-01-20 06:04 JavaScript Table tracks, 1,000,000 0.096 s -1.053
2023-01-20 06:03 JavaScript toArray Vector int8Array
2023-01-20 06:04 JavaScript Parse read recordBatches, tracks 0.000 s -2.856
2023-01-20 06:04 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.456
2023-01-20 06:03 JavaScript toArray Vector int16Array
2023-01-20 06:03 JavaScript toArray Vector int64Array
2023-01-20 06:03 JavaScript toArray Vector float64Array
2023-01-20 06:03 JavaScript get Vector uint64Array 0.003 s -0.695
2023-01-20 06:03 JavaScript get Vector int16Array 0.003 s -0.120
2023-01-20 06:04 JavaScript get Vector booleans 0.002 s -9.376
2023-01-20 06:03 JavaScript toArray Vector float32Array
2023-01-20 06:03 JavaScript toArray Vector numbers
2023-01-20 06:03 JavaScript toArray Vector dictionary 0.010 s 0.304
2023-01-20 06:03 JavaScript get Vector uint32Array 0.003 s 0.181
2023-01-20 06:03 JavaScript get Vector int8Array 0.003 s 0.207
2023-01-20 06:03 JavaScript get Vector int32Array 0.003 s 0.400
2023-01-20 06:03 JavaScript get Vector float32Array 0.002 s 0.673
2023-01-20 06:04 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.293
2023-01-20 06:04 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.596
2023-01-20 06:04 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -3.052
2023-01-20 06:04 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.012
2023-01-20 06:04 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.418
2023-01-20 06:04 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-20 06:04 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.186 s 1.273
2023-01-20 06:04 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.026
2023-01-20 06:04 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.485
2023-01-20 06:04 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.178
2023-01-20 06:04 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.064
2023-01-20 06:04 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-20 06:04 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-20 06:04 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.191 s -1.253
2023-01-20 06:04 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.528
2023-01-20 06:04 JavaScript Table tracks, 1,000,000 0.050 s 0.591
2023-01-20 06:04 JavaScript Table 1,000,000, tracks 0.254 s 0.964
2023-01-20 06:04 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.172
2023-01-20 06:04 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -0.926
2023-01-20 06:04 JavaScript Table tracks, 1,000,000 0.254 s 0.917