Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-17 19:52 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.366 s 1.459
2023-01-17 19:51 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.031 s -1.050
2023-01-17 19:51 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.120 s 0.214
2023-01-17 19:59 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 88.214 s -0.755
2023-01-17 19:49 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.774 s 0.714
2023-01-17 19:49 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.231 s 0.342
2023-01-17 19:55 Python dataframe-to-table type_dict 0.011 s 0.675
2023-01-17 19:55 Python dataframe-to-table type_floats 0.010 s 0.134
2023-01-17 19:55 Python dataframe-to-table type_nested 2.975 s -0.509
2023-01-17 19:50 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.193 s -1.514
2023-01-17 19:51 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.433 s 0.771
2023-01-17 19:55 Python dataframe-to-table type_strings 0.427 s 0.273
2023-01-17 19:53 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.301 s 1.442
2023-01-17 19:54 Python dataframe-to-table chi_traffic_2020_Q1 20.866 s 1.563
2023-01-17 19:55 Python dataset-filter nyctaxi_2010-01 1.027 s -0.197
2023-01-17 19:55 Python dataframe-to-table type_integers 0.010 s -2.456
2023-01-17 20:15 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.194 s 0.135
2023-01-17 20:04 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 84.303 s -0.135
2023-01-17 20:15 Python dataset-read async=True, nyctaxi_multi_ipc_s3 222.223 s 0.125
2023-01-17 20:15 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.213 s 0.218
2023-01-17 20:16 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -1.501
2023-01-17 20:16 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.935 s -1.455
2023-01-17 20:16 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 1.158
2023-01-17 20:16 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.200 s -1.946
2023-01-17 20:15 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.317 s 0.125
2023-01-17 20:15 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.003 s 0.360
2023-01-17 20:16 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.175 s -0.548
2023-01-17 20:16 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.528
2023-01-17 20:16 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.189 s -1.995
2023-01-17 20:17 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.530 s 0.883
2023-01-17 20:15 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.503 s -1.311
2023-01-17 20:16 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.360
2023-01-17 20:16 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.010 s 0.344
2023-01-17 20:16 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.204 s -0.033
2023-01-17 20:16 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.691 s 0.222
2023-01-17 20:20 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.315 s -1.336
2023-01-17 20:17 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.578
2023-01-17 20:21 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s 0.078
2023-01-17 20:21 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.056
2023-01-17 20:29 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.218
2023-01-17 20:29 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -1.170
2023-01-17 20:29 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.007 s 0.945
2023-01-17 20:29 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.054
2023-01-17 20:29 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.865 s 1.274
2023-01-17 20:29 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.049 s -1.335
2023-01-17 20:29 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.272
2023-01-17 20:29 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.224 s 0.947
2023-01-17 20:30 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.684 s 1.221
2023-01-17 20:34 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.886 s -1.264
2023-01-17 20:34 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.406 s 0.393
2023-01-17 20:34 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.411 s -0.371
2023-01-17 20:43 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.599 s 0.522
2023-01-17 20:44 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.983 s 0.067
2023-01-17 20:45 Python file-read lz4, feather, table, nyctaxi_2010-01 0.672 s 0.353
2023-01-17 20:43 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.509 s -0.357
2023-01-17 20:45 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.588 s 0.347
2023-01-17 20:43 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.158 s 1.376
2023-01-17 20:43 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.483 s 0.602
2023-01-17 20:44 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.309 s 0.365
2023-01-17 20:44 Python file-read lz4, feather, table, fanniemae_2016Q4 0.810 s 0.383
2023-01-17 20:44 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.615 s 0.340
2023-01-17 20:44 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.209 s 0.251
2023-01-17 20:44 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.967 s 0.212
2023-01-17 20:45 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.927 s 0.195
2023-01-17 20:45 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.379 s -0.136
2023-01-17 20:43 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.602 s 0.665
2023-01-17 20:44 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.930 s 0.121
2023-01-17 20:45 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.941 s 0.317
2023-01-17 20:46 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.659 s -0.902
2023-01-17 20:47 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.284 s -1.250
2023-01-17 20:47 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.924 s -1.275
2023-01-17 20:48 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.463 s -1.345
2023-01-17 20:49 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.247 s 0.046
2023-01-17 20:49 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.413 s -0.375
2023-01-17 20:50 Python file-write lz4, feather, table, fanniemae_2016Q4 1.895 s -0.334
2023-01-17 20:50 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.896 s 0.003
2023-01-17 20:50 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 6.024 s -1.347
2023-01-17 20:51 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.517 s -1.590
2023-01-17 20:51 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.923 s -1.699
2023-01-17 20:52 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.404 s -1.670
2023-01-17 20:52 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.840 s -0.445
2023-01-17 20:52 Python file-write lz4, feather, table, nyctaxi_2010-01 1.831 s -0.342
2023-01-17 20:53 Python wide-dataframe use_legacy_dataset=true 0.379 s 0.100
2023-01-17 20:52 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.245 s -0.487
2023-01-17 20:53 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.224 s -0.198
2023-01-17 20:53 Python wide-dataframe use_legacy_dataset=false 0.519 s -0.169
2023-01-17 21:01 R dataframe-to-table type_strings, R 0.535 s 0.053
2023-01-17 21:01 R dataframe-to-table chi_traffic_2020_Q1, R 4.382 s -1.164
2023-01-17 21:01 R dataframe-to-table type_dict, R 0.061 s -0.776
2023-01-17 21:01 R dataframe-to-table type_floats, R 0.013 s 0.664
2023-01-17 21:01 R dataframe-to-table type_integers, R 0.010 s 0.524
2023-01-17 21:02 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.574 s -0.200
2023-01-17 21:02 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.322 s -0.234
2023-01-17 21:02 R dataframe-to-table type_nested, R 0.573 s 0.018
2023-01-17 21:03 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.317 s 0.243
2023-01-17 21:02 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.321 s -0.189
2023-01-17 21:03 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.574 s -0.190
2023-01-17 21:03 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.570 s -0.201
2023-01-17 21:03 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.609 s 0.202
2023-01-17 21:03 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.572 s 0.249
2023-01-17 21:03 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.862 s 0.206
2023-01-17 21:04 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.914 s -0.095
2023-01-17 21:04 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.917 s -0.185
2023-01-17 21:04 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.573 s -0.330
2023-01-17 21:04 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.214 s 0.333
2023-01-17 21:04 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.582 s 0.306
2023-01-17 21:04 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.812 s 0.333
2023-01-17 21:05 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.897 s 0.312
2023-01-17 21:06 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.906 s -1.380
2023-01-17 21:07 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.857 s -1.266
2023-01-17 21:08 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.311 s -1.325
2023-01-17 21:10 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.299 s -1.222
2023-01-17 21:11 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.957 s 0.538
2023-01-17 21:12 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.001 s 0.908
2023-01-17 21:13 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.493 s -0.158
2023-01-17 21:14 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.438 s 1.209
2023-01-17 21:15 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.083 s -1.772
2023-01-17 21:16 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.900 s -1.644
2023-01-17 21:19 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.869 s -1.878
2023-01-17 21:20 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.176 s -0.330
2023-01-17 21:22 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.558 s 0.251
2023-01-17 21:23 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.262 s -1.473
2023-01-17 21:18 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.827 s -1.866
2023-01-17 21:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.674 s -1.548
2023-01-17 21:22 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.598 s -0.806
2023-01-17 21:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.119
2023-01-17 21:19 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s 0.650
2023-01-17 21:21 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s 0.444
2023-01-17 21:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.275 s 0.072
2023-01-17 21:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 4.059 s -1.911
2023-01-17 21:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.170
2023-01-17 21:26 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.069 s -0.673
2023-01-17 21:23 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.602 s -0.009
2023-01-17 21:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.302 s 0.273
2023-01-17 21:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.586 s 0.069
2023-01-17 21:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.281 s -0.081
2023-01-17 21:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.336 s 0.119
2023-01-17 21:22 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.078 s -0.389
2023-01-17 21:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.223
2023-01-17 21:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.212
2023-01-17 21:27 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.334
2023-01-17 21:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.201 s -0.093
2023-01-17 21:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.287
2023-01-17 21:24 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 0.994 s 1.266
2023-01-17 21:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.292 s 0.027
2023-01-17 21:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.181
2023-01-17 21:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.242
2023-01-17 21:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.322
2023-01-17 21:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.256
2023-01-17 21:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.201
2023-01-17 21:27 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.566 s -0.270
2023-01-17 21:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.233 s 0.309
2023-01-17 21:29 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.905 s 0.666
2023-01-17 21:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s 0.247
2023-01-17 21:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s 0.208
2023-01-17 21:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.887 s 0.589
2023-01-17 21:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.243 s 0.282
2023-01-17 21:27 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.586 s 0.184
2023-01-17 21:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.203 s 0.215
2023-01-17 21:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.239
2023-01-17 21:29 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.350 s 0.246
2023-01-17 21:29 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.201
2023-01-17 21:29 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.170
2023-01-17 21:29 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.313 s 0.273
2023-01-17 21:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.324 s 0.009
2023-01-17 21:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.651 s -0.211
2023-01-17 21:31 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.729 s -0.349
2023-01-17 21:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.633 s 0.135
2023-01-17 21:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.248
2023-01-17 21:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.224
2023-01-17 21:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s 0.244
2023-01-17 21:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.232 s 0.344
2023-01-17 21:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.256
2023-01-17 21:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.306
2023-01-17 21:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.352 s 0.309
2023-01-17 21:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.293 s 0.323
2023-01-17 21:32 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.343
2023-01-17 21:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.351 s 0.274
2023-01-17 21:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.262 s 0.021
2023-01-17 21:33 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.661 s 0.217
2023-01-17 21:32 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.339 s 0.385
2023-01-17 21:33 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.372 s 0.345
2023-01-17 21:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.621 s 0.028
2023-01-17 21:34 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.309
2023-01-17 21:34 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.778 s 0.498
2023-01-17 21:34 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.395 s 0.306
2023-01-17 21:34 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.250
2023-01-17 21:34 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.296
2023-01-17 21:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.368 s 0.292
2023-01-17 21:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.613 s 0.301
2023-01-17 21:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.319
2023-01-17 21:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.383
2023-01-17 21:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.712 s 0.328
2023-01-17 21:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.319
2023-01-17 21:36 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.775 s -0.053
2023-01-17 21:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.359
2023-01-17 21:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.769 s 0.267
2023-01-17 21:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.442 s 0.147
2023-01-17 21:37 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.975 s -0.891
2023-01-17 21:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.147 s -0.101
2023-01-17 21:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.299 s 0.286
2023-01-17 21:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.253
2023-01-17 21:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.263
2023-01-17 21:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.320 s 0.273
2023-01-17 21:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.240
2023-01-17 21:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s 0.181
2023-01-17 21:39 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.238
2023-01-17 21:40 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.539 s 0.094
2023-01-17 21:40 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.302 s 0.295
2023-01-17 21:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.870 s 0.565
2023-01-17 21:39 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.167
2023-01-17 21:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.232 s 0.175
2023-01-17 21:39 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.750 s -0.114
2023-01-17 21:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.331 s 0.022
2023-01-17 21:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.863 s 0.492
2023-01-17 21:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.395 s -1.950
2023-01-17 21:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.304 s -0.089
2023-01-17 21:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.365 s 0.155
2023-01-17 21:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.259 s -3.515
2023-01-17 21:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.491 s -0.743
2023-01-17 21:42 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.911 s -0.292
2023-01-17 21:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.256 s 0.107
2023-01-17 21:42 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.682 s -1.574
2023-01-17 21:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s 0.034
2023-01-17 21:43 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.593 s -0.700
2023-01-17 21:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.185 s 0.095
2023-01-17 21:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.334 s -0.138
2023-01-17 21:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.611 s -0.769
2023-01-17 21:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.866 s -0.203
2023-01-17 21:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.427 s 0.083
2023-01-17 21:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.450 s -1.690
2023-01-17 21:44 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.182
2023-01-17 21:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.266 s 0.301
2023-01-17 21:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.548 s -0.538
2023-01-17 21:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.233
2023-01-17 21:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.334 s 0.256
2023-01-17 21:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.445 s -0.130
2023-01-17 21:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.929 s 0.212
2023-01-17 21:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.966 s -0.277
2023-01-17 21:46 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.619 s -1.412
2023-01-17 21:46 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.346
2023-01-17 21:46 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.324
2023-01-17 21:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.588 s 0.174
2023-01-17 21:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.301
2023-01-17 21:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.259
2023-01-17 21:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.284 s 0.296
2023-01-17 21:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.320 s 0.470
2023-01-17 21:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.606 s 0.648
2023-01-17 21:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.585 s -0.005
2023-01-17 21:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.307
2023-01-17 21:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.193 s 0.412
2023-01-17 21:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s 0.318
2023-01-17 21:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.218 s 0.419
2023-01-17 21:49 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.881 s 0.353
2023-01-17 21:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.524 s 0.311
2023-01-17 21:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.091 s 0.074
2023-01-17 21:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.285
2023-01-17 21:49 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.283
2023-01-17 21:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.316
2023-01-17 21:49 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.271
2023-01-17 21:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.261
2023-01-17 21:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.990 s -0.187
2023-01-17 21:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.195 s 0.245
2023-01-17 21:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.262
2023-01-17 21:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.069 s -0.526
2023-01-17 21:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.298
2023-01-17 21:51 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.317
2023-01-17 21:52 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.268
2023-01-17 21:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.468 s -0.601
2023-01-17 21:52 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.543 s -0.025
2023-01-17 21:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.202
2023-01-17 21:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.317 s -0.335
2023-01-17 21:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.442 s 0.196
2023-01-17 21:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.174
2023-01-17 21:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.259
2023-01-17 21:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.437 s 0.323
2023-01-17 21:54 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.886 s 0.187
2023-01-17 21:54 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.327 s 0.048
2023-01-17 21:54 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.623 s 0.083
2023-01-17 21:55 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.161
2023-01-17 21:55 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.170
2023-01-17 21:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.376 s 0.048
2023-01-17 21:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.456 s -1.342
2023-01-17 21:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.131
2023-01-17 21:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.969 s 0.056
2023-01-17 21:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.291 s -0.039
2023-01-17 21:57 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.293
2023-01-17 21:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.215 s -0.624
2023-01-17 21:57 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s 0.003
2023-01-17 21:57 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.398 s -0.418
2023-01-17 21:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.790 s 0.258
2023-01-17 21:57 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.733 s -0.332
2023-01-17 21:58 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.864 s 0.599
2023-01-17 21:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.161 s -0.708
2023-01-17 22:01 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.882 s -0.112
2023-01-17 22:02 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.117 s -1.467
2023-01-17 22:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.205 s 0.174
2023-01-17 22:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.199 s 0.055
2023-01-17 22:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.261 s 0.238
2023-01-17 22:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.234
2023-01-17 22:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.214
2023-01-17 22:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.172
2023-01-17 22:04 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.352 s -0.308
2023-01-17 22:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.451 s 0.227
2023-01-17 22:12 JavaScript toArray Vector int32Array
2023-01-17 22:12 JavaScript Iterate Vector uint64Array 0.004 s 0.469
2023-01-17 22:12 JavaScript Iterate Vector dictionary 0.004 s 0.055
2023-01-17 22:12 JavaScript Iterate Vector uint32Array 0.002 s 0.516
2023-01-17 22:12 JavaScript Iterate Vector int32Array 0.002 s 0.247
2023-01-17 22:12 JavaScript Spread Vector int64Array 0.012 s -0.042
2023-01-17 22:12 JavaScript vectorFromArray dictionary 0.017 s -0.321
2023-01-17 22:12 JavaScript Iterate Vector int64Array 0.004 s 0.767
2023-01-17 22:12 JavaScript Parse read recordBatches, tracks 0.000 s -0.463
2023-01-17 22:12 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.642
2023-01-17 22:12 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.588
2023-01-17 22:12 JavaScript Iterate Vector int8Array 0.002 s 0.348
2023-01-17 22:12 JavaScript Iterate Vector float32Array 0.002 s 1.253
2023-01-17 22:12 JavaScript Spread Vector uint32Array 0.007 s 0.500
2023-01-17 22:12 JavaScript toArray Vector uint32Array
2023-01-17 22:12 JavaScript vectorFromArray booleans 0.018 s 0.067
2023-01-17 22:12 JavaScript Iterate Vector uint8Array 0.002 s 0.268
2023-01-17 22:12 JavaScript Spread Vector float32Array 0.008 s -1.290
2023-01-17 22:12 JavaScript toArray Vector int8Array
2023-01-17 22:12 JavaScript Iterate Vector uint16Array 0.002 s 0.235
2023-01-17 22:12 JavaScript Iterate Vector booleans 0.004 s 0.605
2023-01-17 22:12 JavaScript Iterate Vector string 0.126 s -0.067
2023-01-17 22:12 JavaScript Spread Vector int16Array 0.006 s 0.226
2023-01-17 22:12 JavaScript get Vector string 0.124 s 0.450
2023-01-17 22:12 JavaScript vectorFromArray numbers 0.016 s 0.882
2023-01-17 22:12 JavaScript Iterate Vector int16Array 0.002 s 0.100
2023-01-17 22:12 JavaScript Spread Vector uint64Array 0.012 s 0.475
2023-01-17 22:12 JavaScript toArray Vector int16Array
2023-01-17 22:12 JavaScript toArray Vector int64Array
2023-01-17 22:12 JavaScript toArray Vector float64Array
2023-01-17 22:12 JavaScript Iterate Vector float64Array 0.002 s 0.505
2023-01-17 22:12 JavaScript toArray Vector uint64Array
2023-01-17 22:12 JavaScript toArray Vector booleans 0.010 s -1.568
2023-01-17 22:12 JavaScript toArray Vector string 0.146 s -0.414
2023-01-17 22:12 JavaScript get Vector uint64Array 0.003 s 0.575
2023-01-17 22:12 JavaScript Iterate Vector numbers 0.002 s 0.765
2023-01-17 22:12 JavaScript get Vector int32Array 0.003 s 0.424
2023-01-17 22:12 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.870
2023-01-17 22:12 JavaScript Spread Vector uint8Array 0.006 s 0.342
2023-01-17 22:12 JavaScript Spread Vector int8Array 0.007 s -0.103
2023-01-17 22:12 JavaScript Spread Vector int32Array 0.006 s 0.538
2023-01-17 22:12 JavaScript Spread Vector dictionary 0.010 s -0.056
2023-01-17 22:12 JavaScript toArray Vector uint8Array
2023-01-17 22:12 JavaScript toArray Vector float32Array
2023-01-17 22:12 JavaScript Spread Vector uint16Array 0.006 s 0.484
2023-01-17 22:12 JavaScript Spread Vector string 0.145 s 0.126
2023-01-17 22:12 JavaScript get Vector uint16Array 0.003 s 0.241
2023-01-17 22:12 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.905
2023-01-17 22:12 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.007
2023-01-17 22:12 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.190 s -0.706
2023-01-17 22:12 JavaScript Table tracks, 1,000,000 0.249 s 1.204
2023-01-17 22:12 JavaScript Table tracks, 1,000,000 0.096 s -1.183
2023-01-17 22:12 JavaScript Spread Vector float64Array 0.008 s 0.861
2023-01-17 22:12 JavaScript Spread Vector booleans 0.010 s 0.439
2023-01-17 22:12 JavaScript toArray Vector uint16Array
2023-01-17 22:12 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -1.227
2023-01-17 22:12 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 2.764
2023-01-17 22:12 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-17 22:12 JavaScript Spread Vector numbers 0.008 s 0.758
2023-01-17 22:12 JavaScript toArray Vector numbers
2023-01-17 22:12 JavaScript get Vector uint32Array 0.003 s 0.441
2023-01-17 22:12 JavaScript get Vector float32Array 0.002 s 0.457
2023-01-17 22:12 JavaScript get Vector numbers 0.002 s -0.094
2023-01-17 22:12 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-17 22:12 JavaScript toArray Vector dictionary 0.010 s -0.570
2023-01-17 22:12 JavaScript get Vector uint8Array 0.003 s 0.611
2023-01-17 22:12 JavaScript Table 1,000,000, tracks 0.249 s 1.172
2023-01-17 22:12 JavaScript get Vector int8Array 0.003 s 1.081
2023-01-17 22:12 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.922
2023-01-17 22:12 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.031
2023-01-17 22:12 JavaScript Table tracks, 1,000,000 0.050 s 0.424
2023-01-17 22:12 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.011
2023-01-17 22:12 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.747
2023-01-17 22:12 JavaScript get Vector int16Array 0.003 s 0.379
2023-01-17 22:12 JavaScript get Vector int64Array 0.003 s 0.526
2023-01-17 22:12 JavaScript get Vector float64Array 0.002 s -0.134
2023-01-17 22:12 JavaScript get Vector booleans 0.002 s 0.772
2023-01-17 22:12 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.133
2023-01-17 22:12 JavaScript get Vector dictionary 0.002 s 0.909
2023-01-17 22:12 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.964
2023-01-17 22:12 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.583
2023-01-17 22:12 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.707
2023-01-17 22:12 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-17 22:12 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-17 22:12 JavaScript Parse write recordBatches, tracks 0.002 s -3.098
2023-01-17 22:12 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.640
2023-01-17 22:12 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.451
2023-01-17 22:12 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.088