Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-13 20:52 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.229 s 0.348
2023-01-13 20:52 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.793 s -0.896
2023-01-13 20:53 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.454 s 0.816
2023-01-13 20:54 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.394 s 0.897
2023-01-13 20:55 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.452 s -0.949
2023-01-13 20:54 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.435 s 0.364
2023-01-13 20:54 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.126 s 0.165
2023-01-13 20:56 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.344 s -0.840
2023-01-13 20:57 Python dataframe-to-table chi_traffic_2020_Q1 21.161 s 0.063
2023-01-13 20:58 Python dataframe-to-table type_floats 0.010 s 0.177
2023-01-13 20:58 Python dataframe-to-table type_strings 0.431 s -1.152
2023-01-13 20:58 Python dataframe-to-table type_dict 0.011 s 0.568
2023-01-13 20:58 Python dataframe-to-table type_integers 0.010 s -1.807
2023-01-13 20:58 Python dataframe-to-table type_nested 2.969 s 0.420
2023-01-13 20:58 Python dataset-filter nyctaxi_2010-01 0.985 s 0.554
2023-01-13 21:02 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 89.607 s -0.999
2023-01-13 21:07 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.842 s 0.878
2023-01-13 21:18 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.149 s 0.351
2023-01-13 21:18 Python dataset-read async=True, nyctaxi_multi_ipc_s3 221.215 s 0.232
2023-01-13 21:18 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.318 s -0.029
2023-01-13 21:18 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.213 s 0.140
2023-01-13 21:18 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.049 s 0.208
2023-01-13 21:18 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.046 s 0.236
2023-01-13 21:19 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.683 s 0.167
2023-01-13 21:18 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.287 s 0.282
2023-01-13 21:19 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.303 s 0.748
2023-01-13 21:19 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.300
2023-01-13 21:19 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.154 s 0.309
2023-01-13 21:19 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.112 s 0.737
2023-01-13 21:19 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.902 s 1.368
2023-01-13 21:19 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.200 s -1.094
2023-01-13 21:19 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.760 s -0.354
2023-01-13 21:19 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.179 s 0.817
2023-01-13 21:19 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.359
2023-01-13 21:19 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -1.411
2023-01-13 21:20 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.554 s -0.389
2023-01-13 21:24 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.197
2023-01-13 21:23 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 29.992 s 1.270
2023-01-13 21:24 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.323
2023-01-13 21:32 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.280 s 0.790
2023-01-13 21:32 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.869 s -0.484
2023-01-13 21:32 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.299 s -0.470
2023-01-13 21:32 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.271
2023-01-13 21:32 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 2.973 s 1.212
2023-01-13 21:32 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.502
2023-01-13 21:32 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 1.074
2023-01-13 21:32 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s -0.324
2023-01-13 21:33 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.721 s -0.379
2023-01-13 21:36 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.157 s 1.141
2023-01-13 21:37 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.406 s 1.261
2023-01-13 21:37 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.402 s 1.826
2023-01-13 21:46 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.574 s -0.371
2023-01-13 21:47 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.941 s 0.532
2023-01-13 21:46 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.469 s 0.937
2023-01-13 21:46 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.608 s 0.323
2023-01-13 21:47 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.319 s 0.351
2023-01-13 21:47 Python file-read lz4, feather, table, fanniemae_2016Q4 0.806 s 0.500
2023-01-13 21:46 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.612 s 0.528
2023-01-13 21:47 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.620 s 0.409
2023-01-13 21:46 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.483 s 0.493
2023-01-13 21:47 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 1.066 s -1.749
2023-01-13 21:47 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.214 s 0.605
2023-01-13 21:48 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.584 s 0.317
2023-01-13 21:48 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.332 s 0.307
2023-01-13 21:47 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.893 s 0.559
2023-01-13 21:48 Python file-read lz4, feather, table, nyctaxi_2010-01 0.674 s 0.320
2023-01-13 21:47 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.924 s 0.700
2023-01-13 21:48 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.928 s 0.353
2023-01-13 21:48 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.389 s 0.396
2023-01-13 21:50 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.854 s 0.770
2023-01-13 21:50 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.537 s 0.595
2023-01-13 21:51 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.997 s 0.887
2023-01-13 21:52 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.256 s -0.057
2023-01-13 21:51 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.292 s -0.039
2023-01-13 21:55 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.154 s -0.115
2023-01-13 21:54 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.669 s -0.199
2023-01-13 21:52 Python file-write lz4, feather, table, fanniemae_2016Q4 1.865 s -0.173
2023-01-13 21:53 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.876 s 0.470
2023-01-13 21:55 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.748 s -0.158
2023-01-13 22:05 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.551 s 0.590
2023-01-13 21:53 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.783 s -0.129
2023-01-13 21:55 Python file-write lz4, feather, table, nyctaxi_2010-01 1.781 s 0.098
2023-01-13 21:55 Python wide-dataframe use_legacy_dataset=false 0.512 s 0.506
2023-01-13 22:04 R dataframe-to-table type_strings, R 0.534 s 0.207
2023-01-13 21:55 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.152 s -0.141
2023-01-13 22:07 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.877 s 0.542
2023-01-13 22:11 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.905 s 0.648
2023-01-13 22:15 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.020 s 0.330
2023-01-13 21:54 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.251 s -0.053
2023-01-13 21:55 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.190 s 0.046
2023-01-13 22:04 R dataframe-to-table type_floats, R 0.013 s 0.722
2023-01-13 22:05 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.302 s 0.570
2023-01-13 22:06 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.564 s 0.279
2023-01-13 22:07 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.884 s 0.596
2023-01-13 22:05 R dataframe-to-table type_nested, R 0.575 s -0.745
2023-01-13 21:55 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.319
2023-01-13 22:04 R dataframe-to-table chi_traffic_2020_Q1, R 4.436 s -3.190
2023-01-13 22:04 R dataframe-to-table type_integers, R 0.010 s -0.188
2023-01-13 22:05 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.298 s 0.540
2023-01-13 22:07 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.335
2023-01-13 22:18 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.897 s -0.365
2023-01-13 22:06 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.592 s 0.322
2023-01-13 22:10 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.613 s -0.532
2023-01-13 22:04 R dataframe-to-table type_dict, R 0.046 s 1.624
2023-01-13 22:08 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.502 s 0.529
2023-01-13 22:07 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.534 s 0.652
2023-01-13 22:07 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.574 s 0.321
2023-01-13 22:06 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.553 s 0.425
2023-01-13 22:06 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.841 s 0.293
2023-01-13 22:07 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.818 s 0.322
2023-01-13 22:06 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.235
2023-01-13 22:06 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.530 s 0.558
2023-01-13 22:19 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.709 s -0.261
2023-01-13 22:08 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.904 s 0.269
2023-01-13 22:13 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.900 s 0.733
2023-01-13 22:17 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.489 s 0.151
2023-01-13 22:20 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.607 s -0.053
2023-01-13 22:14 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.954 s 0.790
2023-01-13 22:16 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.491 s 0.500
2023-01-13 22:21 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.669 s -0.246
2023-01-13 22:22 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.310 s 0.158
2023-01-13 22:23 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.183 s -0.749
2023-01-13 22:24 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.475 s -1.874
2023-01-13 22:25 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.091 s -1.260
2023-01-13 22:25 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.247 s 0.818
2023-01-13 22:25 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.541 s 0.734
2023-01-13 22:25 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.593 s 0.459
2023-01-13 22:25 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.553 s 0.414
2023-01-13 22:26 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.199 s 0.259
2023-01-13 22:26 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.280 s 0.164
2023-01-13 22:26 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.238 s 0.261
2023-01-13 22:26 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s -0.124
2023-01-13 22:27 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 0.997 s 0.864
2023-01-13 22:26 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.201
2023-01-13 22:26 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s 0.193
2023-01-13 22:27 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.689 s 0.512
2023-01-13 22:27 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.278 s 0.211
2023-01-13 22:28 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.288 s 0.179
2023-01-13 22:27 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.161
2023-01-13 22:28 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.041 s 0.182
2023-01-13 22:28 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.347 s 0.255
2023-01-13 22:28 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s 0.233
2023-01-13 22:29 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.125
2023-01-13 22:28 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s 0.261
2023-01-13 22:28 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.227 s 0.245
2023-01-13 22:28 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.654 s -0.328
2023-01-13 22:29 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.240
2023-01-13 22:29 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.585 s 0.039
2023-01-13 22:29 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.302 s 0.233
2023-01-13 22:29 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.298 s 0.302
2023-01-13 22:30 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.899 s 0.116
2023-01-13 22:30 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.197 s 0.283
2023-01-13 22:30 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.249
2023-01-13 22:31 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.281
2023-01-13 22:30 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.506 s -0.171
2023-01-13 22:30 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.273
2023-01-13 22:31 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.269 s 0.272
2023-01-13 22:31 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.909 s 0.340
2023-01-13 22:31 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.332 s 0.215
2023-01-13 22:32 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.164 s 0.535
2023-01-13 22:32 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s 0.296
2023-01-13 22:32 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.259 s 0.296
2023-01-13 22:32 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.349 s 0.247
2023-01-13 22:32 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.318 s 0.352
2023-01-13 22:32 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.264 s 0.266
2023-01-13 22:32 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.633 s 0.233
2023-01-13 22:33 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.631 s 0.148
2023-01-13 22:33 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.680 s -0.195
2023-01-13 22:33 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.192
2023-01-13 22:33 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.241
2023-01-13 22:34 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.235 s 0.291
2023-01-13 22:34 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.159 s 0.289
2023-01-13 22:34 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.177 s 0.339
2023-01-13 22:34 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.354 s 0.072
2023-01-13 22:34 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.503 s 0.252
2023-01-13 22:35 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.292 s 0.274
2023-01-13 22:35 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.262 s -0.323
2023-01-13 22:35 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.339 s 0.302
2023-01-13 22:35 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.290 s 0.281
2023-01-13 22:35 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.349 s 0.257
2023-01-13 22:35 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.372 s 0.287
2023-01-13 22:36 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.657 s 0.177
2023-01-13 22:36 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.776 s 0.453
2023-01-13 22:36 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.557 s 0.181
2023-01-13 22:37 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.368 s 0.216
2023-01-13 22:37 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.393 s 0.246
2023-01-13 22:37 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.426 s 0.216
2023-01-13 22:37 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.171
2023-01-13 22:38 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.611 s 0.284
2023-01-13 22:37 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.332 s 0.241
2023-01-13 22:37 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.715 s 0.114
2023-01-13 22:39 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.294 s 0.318
2023-01-13 22:38 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.708 s 0.087
2023-01-13 22:39 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.259
2023-01-13 22:38 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.334
2023-01-13 22:39 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.439 s 0.220
2023-01-13 22:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.269 s 0.387
2023-01-13 22:39 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s 0.181
2023-01-13 22:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.319
2023-01-13 22:40 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.956 s 0.087
2023-01-13 22:41 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.320 s 0.235
2023-01-13 22:41 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.873 s 0.556
2023-01-13 22:42 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.219
2023-01-13 22:43 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.198
2023-01-13 22:40 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.121 s -0.187
2023-01-13 22:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.864 s -0.790
2023-01-13 22:43 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.858 s 0.718
2023-01-13 22:44 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.473 s 0.385
2023-01-13 22:42 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s 0.227
2023-01-13 22:47 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.299 s -6.992
2023-01-13 22:48 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.522 s 0.300
2023-01-13 22:50 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.613 s 0.173
2023-01-13 22:51 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.219 s 0.362
2023-01-13 22:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.260 s 0.092
2023-01-13 22:41 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.252
2023-01-13 22:41 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s 0.085
2023-01-13 22:42 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.720 s -0.113
2023-01-13 22:43 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.138 s 0.508
2023-01-13 22:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.867 s 0.230
2023-01-13 22:45 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.235 s -0.044
2023-01-13 22:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.222
2023-01-13 22:42 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.209 s 0.150
2023-01-13 22:44 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.515 s 1.570
2023-01-13 22:46 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.596 s -0.328
2023-01-13 22:47 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.273 s -2.034
2023-01-13 22:49 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.212 s 0.050
2023-01-13 22:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.530 s 0.302
2023-01-13 22:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.360 s 0.319
2023-01-13 22:45 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.237 s 0.009
2023-01-13 22:45 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.422 s 0.026
2023-01-13 22:47 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.332 s 0.208
2023-01-13 22:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.302 s 0.241
2023-01-13 22:47 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.414 s -6.378
2023-01-13 22:50 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.295
2023-01-13 22:53 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.685 s 0.300
2023-01-13 22:54 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.228
2023-01-13 22:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.326 s 0.223
2023-01-13 22:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.260 s 0.231
2023-01-13 22:43 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.251 s 0.348
2023-01-13 22:43 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.300 s 0.182
2023-01-13 22:48 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.930 s 0.004
2023-01-13 22:49 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.251 s 0.267
2023-01-13 22:48 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.438 s 0.145
2023-01-13 22:49 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.221
2023-01-13 22:51 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.308
2023-01-13 22:52 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.272
2023-01-13 22:54 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.207 s 0.309
2023-01-13 22:45 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.181 s 0.259
2023-01-13 22:45 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.327 s 0.377
2023-01-13 22:46 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.289 s 0.655
2023-01-13 22:49 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.235
2023-01-13 22:50 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.271
2023-01-13 22:51 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.882 s 0.182
2023-01-13 22:55 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.271 s 0.224
2023-01-13 22:56 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.440 s 0.245
2023-01-13 22:56 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.320 s 0.150
2023-01-13 23:00 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.451 s -0.040
2023-01-13 22:47 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.548 s -1.371
2023-01-13 22:49 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.584 s 0.121
2023-01-13 22:52 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.048 s 0.269
2023-01-13 22:52 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.980 s -0.320
2023-01-13 22:53 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.192 s 0.372
2023-01-13 22:58 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.125
2023-01-13 22:59 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.603 s 0.144
2023-01-13 22:49 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.737 s 0.291
2023-01-13 22:49 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.284 s 0.200
2023-01-13 22:50 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.581 s -0.331
2023-01-13 22:51 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.282 s 0.323
2023-01-13 22:52 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.219
2023-01-13 22:52 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.217
2023-01-13 22:53 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.113
2023-01-13 22:54 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.399 s 0.586
2023-01-13 22:55 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.217 s 0.462
2023-01-13 22:56 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.883 s 0.303
2023-01-13 22:57 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.589 s 1.258
2023-01-13 22:58 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.962 s 0.108
2023-01-13 22:51 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.520 s 0.372
2023-01-13 22:54 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.534 s 0.156
2023-01-13 22:55 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.431 s 0.735
2023-01-13 22:58 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.174
2023-01-13 22:58 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.256 s 0.208
2023-01-13 23:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.225 s 0.331
2023-01-13 22:52 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.219 s 0.199
2023-01-13 22:57 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.225 s 0.094
2023-01-13 23:01 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.118 s -0.088
2023-01-13 23:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.196 s 0.318
2023-01-13 22:52 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.176
2023-01-13 22:54 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.281
2023-01-13 22:56 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s 0.383
2023-01-13 22:58 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.370 s 0.244
2023-01-13 22:59 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.093 s -0.486
2023-01-13 23:00 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.790 s 0.108
2023-01-13 22:58 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s 0.204
2023-01-13 23:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.202 s 0.327
2023-01-13 22:59 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.302
2023-01-13 23:06 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.307 s 0.246
2023-01-13 23:05 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.735 s -0.982
2023-01-13 23:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.449 s 0.252
2023-01-13 23:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.241 s 0.218
2023-01-13 23:06 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.293 s 0.146
2023-01-13 23:00 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.720 s 1.174
2023-01-13 23:00 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.853 s 1.163
2023-01-13 23:03 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.743 s 0.604
2023-01-13 23:14 JavaScript vectorFromArray booleans 0.018 s -0.285
2023-01-13 23:14 JavaScript Iterate Vector uint8Array 0.002 s -0.760
2023-01-13 23:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.259 s 0.252
2023-01-13 23:14 JavaScript Spread Vector float32Array 0.008 s -0.202
2023-01-13 23:14 JavaScript Iterate Vector float32Array 0.002 s 0.021
2023-01-13 23:14 JavaScript Iterate Vector dictionary 0.004 s -2.063
2023-01-13 23:14 JavaScript Spread Vector int8Array 0.006 s 1.154
2023-01-13 23:14 JavaScript Iterate Vector numbers 0.002 s -1.771
2023-01-13 23:14 JavaScript Spread Vector int64Array 0.012 s -0.395
2023-01-13 23:14 JavaScript Iterate Vector int8Array 0.002 s -0.975
2023-01-13 23:14 JavaScript Iterate Vector int32Array 0.002 s -0.829
2023-01-13 23:14 JavaScript Iterate Vector int16Array 0.002 s -0.161
2023-01-13 23:14 JavaScript Iterate Vector float64Array 0.002 s -1.365
2023-01-13 23:14 JavaScript Iterate Vector string 0.128 s -1.058
2023-01-13 23:14 JavaScript toArray Vector uint16Array
2023-01-13 23:14 JavaScript toArray Vector uint64Array
2023-01-13 23:14 JavaScript toArray Vector int16Array
2023-01-13 23:14 JavaScript toArray Vector float64Array
2023-01-13 23:14 JavaScript toArray Vector booleans 0.010 s 0.122
2023-01-13 23:14 JavaScript get Vector int16Array 0.003 s 0.146
2023-01-13 23:14 JavaScript get Vector booleans 0.002 s 0.643
2023-01-13 23:14 JavaScript Spread Vector uint64Array 0.012 s -0.427
2023-01-13 23:14 JavaScript toArray Vector string 0.145 s 0.160
2023-01-13 23:14 JavaScript get Vector uint16Array 0.003 s 0.175
2023-01-13 23:14 JavaScript get Vector uint64Array 0.003 s 0.234
2023-01-13 23:14 JavaScript get Vector int64Array 0.003 s 0.228
2023-01-13 23:15 JavaScript Table 1,000,000, tracks 0.285 s -0.548
2023-01-13 23:14 JavaScript Iterate Vector uint16Array 0.002 s -0.213
2023-01-13 23:14 JavaScript Spread Vector uint16Array 0.006 s 0.680
2023-01-13 23:14 JavaScript Spread Vector booleans 0.010 s 0.504
2023-01-13 23:14 JavaScript Spread Vector string 0.147 s -0.605
2023-01-13 23:14 JavaScript vectorFromArray numbers 0.016 s -0.005
2023-01-13 23:14 JavaScript vectorFromArray dictionary 0.017 s -0.509
2023-01-13 23:14 JavaScript Iterate Vector uint64Array 0.004 s 0.222
2023-01-13 23:14 JavaScript Iterate Vector int64Array 0.004 s 0.120
2023-01-13 23:14 JavaScript Iterate Vector booleans 0.004 s 0.883
2023-01-13 23:14 JavaScript Spread Vector int16Array 0.006 s 0.498
2023-01-13 23:14 JavaScript Iterate Vector uint32Array 0.002 s -0.810
2023-01-13 23:14 JavaScript Spread Vector uint32Array 0.007 s -0.787
2023-01-13 23:14 JavaScript toArray Vector uint32Array
2023-01-13 23:14 JavaScript toArray Vector int8Array
2023-01-13 23:14 JavaScript get Vector int32Array 0.003 s 0.137
2023-01-13 23:15 JavaScript Table tracks, 1,000,000 0.095 s -0.078
2023-01-13 23:14 JavaScript Spread Vector uint8Array 0.007 s 0.106
2023-01-13 23:14 JavaScript Spread Vector numbers 0.008 s -0.615
2023-01-13 23:14 JavaScript Spread Vector dictionary 0.010 s -1.684
2023-01-13 23:14 JavaScript toArray Vector int32Array
2023-01-13 23:14 JavaScript toArray Vector numbers
2023-01-13 23:14 JavaScript get Vector uint8Array 0.003 s 0.156
2023-01-13 23:14 JavaScript Spread Vector int32Array 0.006 s 0.878
2023-01-13 23:14 JavaScript get Vector float32Array 0.002 s 0.654
2023-01-13 23:15 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.609
2023-01-13 23:15 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-13 23:15 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s -0.088
2023-01-13 23:15 JavaScript Table tracks, 1,000,000 0.270 s 0.002
2023-01-13 23:15 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.443
2023-01-13 23:14 JavaScript Spread Vector float64Array 0.008 s -1.420
2023-01-13 23:14 JavaScript toArray Vector int64Array
2023-01-13 23:14 JavaScript get Vector string 0.125 s 0.013
2023-01-13 23:15 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.218
2023-01-13 23:15 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -2.392
2023-01-13 23:15 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 23:15 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.442
2023-01-13 23:14 JavaScript toArray Vector uint8Array
2023-01-13 23:14 JavaScript get Vector dictionary 0.002 s 0.916
2023-01-13 23:15 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.171
2023-01-13 23:15 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.328
2023-01-13 23:15 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.389
2023-01-13 23:14 JavaScript toArray Vector float32Array
2023-01-13 23:14 JavaScript toArray Vector dictionary 0.010 s -1.683
2023-01-13 23:14 JavaScript get Vector uint32Array 0.003 s 0.190
2023-01-13 23:15 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.944
2023-01-13 23:15 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.728
2023-01-13 23:15 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-13 23:15 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.879
2023-01-13 23:14 JavaScript get Vector int8Array 0.003 s 0.168
2023-01-13 23:14 JavaScript Parse read recordBatches, tracks 0.000 s 1.262
2023-01-13 23:14 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.536
2023-01-13 23:14 JavaScript get Vector float64Array 0.002 s 0.828
2023-01-13 23:14 JavaScript Parse write recordBatches, tracks 0.002 s 0.671
2023-01-13 23:14 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.489
2023-01-13 23:15 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.932
2023-01-13 23:15 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.720
2023-01-13 23:15 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.188 s 0.132
2023-01-13 23:15 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.552
2023-01-13 23:15 JavaScript Table tracks, 1,000,000 0.050 s 0.092
2023-01-13 23:14 JavaScript get Vector numbers 0.002 s 0.082
2023-01-13 23:15 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-13 23:15 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.604