Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-16 17:12 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.063 s -1.075
2023-01-16 17:11 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.782 s 0.206
2023-01-16 17:11 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.226 s 0.387
2023-01-16 17:13 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.434 s 0.565
2023-01-16 17:12 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.059 s -1.152
2023-01-16 17:13 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.118 s 0.236
2023-01-16 17:13 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.490 s 1.153
2023-01-16 17:14 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.459 s 1.068
2023-01-16 17:16 Python dataframe-to-table type_floats 0.010 s 0.220
2023-01-16 17:16 Python dataframe-to-table chi_traffic_2020_Q1 21.001 s 0.641
2023-01-16 17:16 Python dataframe-to-table type_dict 0.011 s 0.208
2023-01-16 17:16 Python dataframe-to-table type_nested 2.940 s 1.435
2023-01-16 17:16 Python dataframe-to-table type_strings 0.426 s 0.646
2023-01-16 17:16 Python dataframe-to-table type_integers 0.010 s 1.347
2023-01-16 17:16 Python dataset-filter nyctaxi_2010-01 1.025 s -0.187
2023-01-16 17:20 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 79.066 s 0.226
2023-01-16 17:25 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.712 s -0.079
2023-01-16 17:36 Python dataset-read async=True, nyctaxi_multi_ipc_s3 217.875 s 0.865
2023-01-16 17:36 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.278 s 0.296
2023-01-16 17:36 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.220 s 0.178
2023-01-16 17:36 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.295 s 0.290
2023-01-16 17:36 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.193 s 0.138
2023-01-16 17:36 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.665 s 0.270
2023-01-16 17:36 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.041 s 0.271
2023-01-16 17:36 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.170 s -0.235
2023-01-16 17:36 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.016 s 0.345
2023-01-16 17:37 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.305 s -0.732
2023-01-16 17:37 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.601
2023-01-16 17:37 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.051
2023-01-16 17:37 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.206 s -0.086
2023-01-16 17:37 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.129 s 0.236
2023-01-16 17:37 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 1.313
2023-01-16 17:37 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.198 s 1.682
2023-01-16 17:37 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.631
2023-01-16 17:37 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.931 s -1.438
2023-01-16 17:38 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.526 s 1.275
2023-01-16 17:41 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.311 s -1.589
2023-01-16 17:42 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.149 s 1.029
2023-01-16 17:41 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.149 s 0.263
2023-01-16 17:49 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.985 s 1.224
2023-01-16 17:50 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -1.424
2023-01-16 17:50 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.864 s 1.661
2023-01-16 17:50 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.232
2023-01-16 17:50 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.901
2023-01-16 17:50 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.045 s -1.435
2023-01-16 17:50 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.335
2023-01-16 17:50 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s -0.273
2023-01-16 17:51 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.689 s 1.192
2023-01-16 17:54 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.865 s -1.430
2023-01-16 17:55 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.407 s 0.067
2023-01-16 17:55 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.413 s -1.096
2023-01-16 18:05 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.650 s 0.276
2023-01-16 18:04 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.484 s 0.625
2023-01-16 18:04 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.211 s 1.345
2023-01-16 18:04 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.476 s 0.875
2023-01-16 18:05 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.967 s 0.273
2023-01-16 18:05 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.946 s -0.067
2023-01-16 18:05 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.938 s 0.332
2023-01-16 18:05 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.586 s 0.348
2023-01-16 18:08 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.886 s -1.336
2023-01-16 18:11 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.856 s 0.384
2023-01-16 18:12 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.462 s -1.451
2023-01-16 18:04 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.610 s 0.631
2023-01-16 18:05 Python file-read lz4, feather, table, fanniemae_2016Q4 0.826 s 0.055
2023-01-16 18:05 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.967 s 0.233
2023-01-16 18:10 Python file-write lz4, feather, table, fanniemae_2016Q4 1.838 s 0.114
2023-01-16 18:05 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.921 s 0.272
2023-01-16 18:13 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.083 s 0.128
2023-01-16 18:07 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.237 s -1.153
2023-01-16 18:13 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.373
2023-01-16 18:04 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.337 s 0.303
2023-01-16 18:05 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.222 s 0.128
2023-01-16 18:06 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.347 s 0.189
2023-01-16 18:06 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.509 s -0.117
2023-01-16 18:13 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.683 s 0.102
2023-01-16 18:09 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.410 s -1.200
2023-01-16 18:13 Python file-write lz4, feather, table, nyctaxi_2010-01 1.758 s 0.167
2023-01-16 18:04 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.598 s 0.591
2023-01-16 18:06 Python file-read lz4, feather, table, nyctaxi_2010-01 0.688 s 0.187
2023-01-16 18:10 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.166 s 0.045
2023-01-16 18:09 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.685 s 0.894
2023-01-16 18:12 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.346 s -1.501
2023-01-16 18:11 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.966 s -1.151
2023-01-16 18:12 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.860 s -1.529
2023-01-16 18:13 Python wide-dataframe use_legacy_dataset=false 0.509 s 0.767
2023-01-16 18:36 R dataframe-to-table type_integers, R 0.010 s 0.595
2023-01-16 18:13 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.167 s 0.176
2023-01-16 18:38 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.566 s 0.180
2023-01-16 18:41 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.908 s -1.666
2023-01-16 18:36 R dataframe-to-table type_strings, R 0.535 s -0.149
2023-01-16 18:39 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.816 s 0.324
2023-01-16 18:36 R dataframe-to-table chi_traffic_2020_Q1, R 4.396 s -1.610
2023-01-16 18:36 R dataframe-to-table type_floats, R 0.013 s 0.819
2023-01-16 18:39 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.572 s -0.292
2023-01-16 18:37 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.318 s 0.025
2023-01-16 18:37 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.316 s 0.092
2023-01-16 18:38 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.315 s 0.254
2023-01-16 18:38 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.590 s 0.346
2023-01-16 18:39 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.329
2023-01-16 18:37 R dataframe-to-table type_nested, R 0.575 s -0.747
2023-01-16 18:40 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.893 s 0.327
2023-01-16 18:36 R dataframe-to-table type_dict, R 0.047 s 0.995
2023-01-16 18:38 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.571 s -0.207
2023-01-16 18:39 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s 0.298
2023-01-16 18:43 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.338 s -1.762
2023-01-16 18:37 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.585 s -0.533
2023-01-16 18:38 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.568 s 0.280
2023-01-16 18:38 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.849 s 0.282
2023-01-16 18:39 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.912 s -0.055
2023-01-16 18:39 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.917 s -0.188
2023-01-16 18:42 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.959 s -2.137
2023-01-16 18:49 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.520 s -0.370
2023-01-16 18:46 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.962 s -0.355
2023-01-16 18:47 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.130 s -1.762
2023-01-16 18:50 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.072 s -2.209
2023-01-16 18:45 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.411 s -2.139
2023-01-16 18:48 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.495 s -0.580
2023-01-16 18:51 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.892 s -2.063
2023-01-16 18:52 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.817 s -2.349
2023-01-16 18:54 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.856 s -2.322
2023-01-16 18:54 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.315 s -1.698
2023-01-16 18:56 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 1.326
2023-01-16 18:55 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.171 s -0.185
2023-01-16 18:57 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.081 s -0.602
2023-01-16 18:57 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.598 s -0.777
2023-01-16 18:57 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.252 s 0.083
2023-01-16 18:57 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.563 s -0.047
2023-01-16 18:58 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.276 s -0.060
2023-01-16 18:58 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.602 s -0.063
2023-01-16 18:58 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.201 s 0.183
2023-01-16 18:58 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.237
2023-01-16 18:58 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.591 s -0.206
2023-01-16 18:58 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.203 s 0.098
2023-01-16 18:58 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.190
2023-01-16 18:59 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.007 s -0.231
2023-01-16 18:59 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.717 s 0.431
2023-01-16 18:59 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.281 s -0.123
2023-01-16 19:00 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.291 s 0.064
2023-01-16 19:00 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.335 s 0.082
2023-01-16 19:00 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.425 s 0.506
2023-01-16 19:00 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.668 s -1.259
2023-01-16 19:00 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.136
2023-01-16 19:01 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.229 s 0.145
2023-01-16 19:00 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.336 s 0.102
2023-01-16 19:00 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.067 s -0.676
2023-01-16 19:01 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.303 s 0.003
2023-01-16 19:01 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.233 s 0.191
2023-01-16 19:01 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.271 s 0.121
2023-01-16 19:01 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.246
2023-01-16 19:01 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.589 s 0.078
2023-01-16 19:02 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.199 s 0.293
2023-01-16 19:02 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.545 s -0.179
2023-01-16 19:02 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.904 s -0.265
2023-01-16 19:02 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.233 s 0.316
2023-01-16 19:03 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.259
2023-01-16 19:03 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.273 s 0.085
2023-01-16 19:03 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.242 s 0.309
2023-01-16 19:03 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.332 s 0.282
2023-01-16 19:03 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.919 s -0.015
2023-01-16 19:04 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.161
2023-01-16 19:04 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.315 s 0.204
2023-01-16 19:04 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.205 s -0.197
2023-01-16 19:04 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.175
2023-01-16 19:04 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.327 s -0.171
2023-01-16 19:04 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.353 s 0.170
2023-01-16 19:05 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.645 s -0.069
2023-01-16 19:05 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.767 s -0.907
2023-01-16 19:06 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.221
2023-01-16 19:05 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s 0.023
2023-01-16 19:06 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.161 s 0.233
2023-01-16 19:06 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.162 s 0.165
2023-01-16 19:06 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.179 s 0.258
2023-01-16 19:06 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.306
2023-01-16 19:07 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.355 s 0.159
2023-01-16 19:06 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.509 s 0.184
2023-01-16 19:07 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.293 s 0.265
2023-01-16 19:07 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.340 s 0.361
2023-01-16 19:07 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.258 s 0.012
2023-01-16 19:07 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.295 s 0.241
2023-01-16 19:08 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.663 s 0.158
2023-01-16 19:08 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.373 s 0.319
2023-01-16 19:09 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.395 s 0.304
2023-01-16 19:08 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.353 s 0.186
2023-01-16 19:08 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.789 s -0.026
2023-01-16 19:09 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.624 s -0.047
2023-01-16 19:09 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.336 s 0.179
2023-01-16 19:10 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.715 s 0.226
2023-01-16 19:09 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.341 s 0.192
2023-01-16 19:09 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.430 s 0.205
2023-01-16 19:09 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.372 s 0.150
2023-01-16 19:10 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.616 s 0.062
2023-01-16 19:10 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.770 s -0.082
2023-01-16 19:15 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.072
2023-01-16 19:16 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.947 s -0.966
2023-01-16 19:14 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.262 s 0.195
2023-01-16 19:15 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.333 s -0.141
2023-01-16 19:21 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.324
2023-01-16 19:21 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.590 s 0.087
2023-01-16 19:11 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.323
2023-01-16 19:15 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.545 s -0.164
2023-01-16 19:17 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s 0.003
2023-01-16 19:20 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.443 s -0.050
2023-01-16 19:20 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.562 s -0.390
2023-01-16 19:21 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.212 s 0.247
2023-01-16 19:11 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.792 s -0.324
2023-01-16 19:13 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.655 s 0.047
2023-01-16 19:14 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.878 s -0.124
2023-01-16 19:16 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.368 s -0.041
2023-01-16 19:18 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s -0.026
2023-01-16 19:12 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.257 s 0.053
2023-01-16 19:13 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.324 s -0.017
2023-01-16 19:23 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.223 s 0.217
2023-01-16 19:26 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.242 s 0.291
2023-01-16 19:15 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.871 s -0.180
2023-01-16 19:17 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.158
2023-01-16 19:18 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.865 s -0.237
2023-01-16 19:19 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.268 s 0.227
2023-01-16 19:21 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.000 s -0.460
2023-01-16 19:21 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.268
2023-01-16 19:12 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.133 s -0.064
2023-01-16 19:17 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.688 s -2.186
2023-01-16 19:18 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.448 s -2.178
2023-01-16 19:19 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.217 s 0.145
2023-01-16 19:21 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.209 s 0.305
2023-01-16 19:26 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.210 s 0.225
2023-01-16 19:28 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.112
2023-01-16 19:11 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.273 s 0.273
2023-01-16 19:11 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.372 s 0.288
2023-01-16 19:12 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.975 s -0.976
2023-01-16 19:13 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.337 s 0.196
2023-01-16 19:15 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.210 s 0.104
2023-01-16 19:23 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.285 s 0.272
2023-01-16 19:24 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.279
2023-01-16 19:28 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.341 s -0.450
2023-01-16 19:11 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.307
2023-01-16 19:11 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.444 s 0.018
2023-01-16 19:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.302 s 0.155
2023-01-16 19:13 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.261 s 0.163
2023-01-16 19:14 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.745 s -0.102
2023-01-16 19:14 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.178
2023-01-16 19:16 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.308 s -0.522
2023-01-16 19:16 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.493 s -1.144
2023-01-16 19:18 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.613 s -0.976
2023-01-16 19:19 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.243 s 0.177
2023-01-16 19:22 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.265
2023-01-16 19:23 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.331 s -0.069
2023-01-16 19:14 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.232 s 0.160
2023-01-16 19:14 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.306 s 0.192
2023-01-16 19:15 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.256 s -0.630
2023-01-16 19:17 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.593 s -0.819
2023-01-16 19:24 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.221 s 0.219
2023-01-16 19:24 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.226
2023-01-16 19:26 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.411 s -0.283
2023-01-16 19:18 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.431 s -0.143
2023-01-16 19:21 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.243 s 0.196
2023-01-16 19:28 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s -0.061
2023-01-16 19:19 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.521 s -0.464
2023-01-16 19:19 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.340 s 0.066
2023-01-16 19:20 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.946 s -0.098
2023-01-16 19:22 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.586 s -0.087
2023-01-16 19:23 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.529 s 0.166
2023-01-16 19:24 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.269 s 0.243
2023-01-16 19:26 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.256
2023-01-16 19:26 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.544 s -0.069
2023-01-16 19:27 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.355 s -0.799
2023-01-16 19:27 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.326 s 0.275
2023-01-16 19:30 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s 0.089
2023-01-16 19:31 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.609 s -0.329
2023-01-16 19:22 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.238 s 0.293
2023-01-16 19:24 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.108 s -0.078
2023-01-16 19:24 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.970 s 0.076
2023-01-16 19:30 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.259 s 0.021
2023-01-16 19:31 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.177
2023-01-16 19:22 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.624 s -0.228
2023-01-16 19:23 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.899 s -0.571
2023-01-16 19:24 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.322 s 0.293
2023-01-16 19:25 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.666 s 0.146
2023-01-16 19:25 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.284 s -1.172
2023-01-16 19:25 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.195 s 0.232
2023-01-16 19:27 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.491 s -1.477
2023-01-16 19:27 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.274 s 0.098
2023-01-16 19:28 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.895 s -0.976
2023-01-16 19:29 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.673 s -1.909
2023-01-16 19:29 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.452 s -1.630
2023-01-16 19:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.958 s 0.248
2023-01-16 19:30 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.110
2023-01-16 19:31 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.208 s -0.664
2023-01-16 19:32 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.735 s -0.694
2023-01-16 19:32 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.926 s -2.322
2023-01-16 19:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.321 s 0.116
2023-01-16 19:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.144
2023-01-16 19:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.454 s -0.162
2023-01-16 19:33 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.158 s -0.817
2023-01-16 19:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.804 s -0.377
2023-01-16 19:35 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.187 s -2.195
2023-01-16 19:37 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.200 s -0.042
2023-01-16 19:37 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.205 s 0.169
2023-01-16 19:37 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.823 s -0.818
2023-01-16 19:37 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.257
2023-01-16 19:37 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.207
2023-01-16 19:38 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.310 s 0.092
2023-01-16 19:37 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.262 s 0.208
2023-01-16 19:38 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.454 s 0.120
2023-01-16 19:38 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.358 s -0.412
2023-01-16 19:46 JavaScript vectorFromArray dictionary 0.017 s 0.105
2023-01-16 19:46 JavaScript vectorFromArray numbers 0.016 s -0.299
2023-01-16 19:46 JavaScript vectorFromArray booleans 0.018 s 0.173
2023-01-16 19:46 JavaScript Spread Vector uint8Array 0.006 s 0.478
2023-01-16 19:46 JavaScript Spread Vector numbers 0.008 s 0.254
2023-01-16 19:46 JavaScript toArray Vector uint16Array
2023-01-16 19:46 JavaScript toArray Vector uint64Array
2023-01-16 19:46 JavaScript toArray Vector int16Array
2023-01-16 19:46 JavaScript Iterate Vector booleans 0.004 s 0.601
2023-01-16 19:46 JavaScript Iterate Vector string 0.124 s 1.540
2023-01-16 19:46 JavaScript Spread Vector uint16Array 0.006 s 0.319
2023-01-16 19:46 JavaScript Spread Vector int16Array 0.006 s 0.429
2023-01-16 19:46 JavaScript Spread Vector uint32Array 0.007 s 0.075
2023-01-16 19:46 JavaScript Spread Vector int8Array 0.006 s 0.157
2023-01-16 19:46 JavaScript Spread Vector int32Array 0.007 s -0.054
2023-01-16 19:46 JavaScript Spread Vector float32Array 0.008 s -0.268
2023-01-16 19:47 JavaScript toArray Vector string 0.145 s 0.290
2023-01-16 19:46 JavaScript Iterate Vector int8Array 0.002 s -0.595
2023-01-16 19:46 JavaScript Spread Vector int64Array 0.012 s -0.043
2023-01-16 19:46 JavaScript toArray Vector int64Array
2023-01-16 19:46 JavaScript Iterate Vector uint16Array 0.002 s -1.099
2023-01-16 19:46 JavaScript Iterate Vector uint64Array 0.004 s -0.222
2023-01-16 19:46 JavaScript Iterate Vector int16Array 0.002 s -1.428
2023-01-16 19:46 JavaScript Iterate Vector int64Array 0.004 s -0.107
2023-01-16 19:46 JavaScript Iterate Vector uint8Array 0.002 s -0.031
2023-01-16 19:46 JavaScript Iterate Vector uint32Array 0.002 s -0.347
2023-01-16 19:46 JavaScript Iterate Vector int32Array 0.002 s -1.201
2023-01-16 19:46 JavaScript Iterate Vector float32Array 0.002 s -1.248
2023-01-16 19:46 JavaScript Iterate Vector float64Array 0.002 s -1.116
2023-01-16 19:46 JavaScript Spread Vector dictionary 0.010 s -0.868
2023-01-16 19:46 JavaScript toArray Vector uint32Array
2023-01-16 19:47 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.618
2023-01-16 19:46 JavaScript Iterate Vector numbers 0.002 s -0.826
2023-01-16 19:46 JavaScript Iterate Vector dictionary 0.004 s -1.003
2023-01-16 19:46 JavaScript toArray Vector int8Array
2023-01-16 19:47 JavaScript toArray Vector float32Array
2023-01-16 19:46 JavaScript Spread Vector uint64Array 0.012 s 0.014
2023-01-16 19:46 JavaScript Spread Vector float64Array 0.008 s 0.374
2023-01-16 19:46 JavaScript Spread Vector booleans 0.010 s -0.046
2023-01-16 19:46 JavaScript Spread Vector string 0.145 s 0.431
2023-01-16 19:47 JavaScript get Vector int64Array 0.003 s -0.194
2023-01-16 19:47 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.283
2023-01-16 19:46 JavaScript toArray Vector uint8Array
2023-01-16 19:46 JavaScript toArray Vector int32Array
2023-01-16 19:47 JavaScript get Vector int8Array 0.003 s -0.055
2023-01-16 19:47 JavaScript get Vector dictionary 0.002 s -1.102
2023-01-16 19:47 JavaScript Parse read recordBatches, tracks 0.000 s 0.833
2023-01-16 19:47 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.035
2023-01-16 19:47 JavaScript toArray Vector float64Array
2023-01-16 19:47 JavaScript toArray Vector booleans 0.010 s -0.022
2023-01-16 19:47 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.248
2023-01-16 19:47 JavaScript toArray Vector numbers
2023-01-16 19:47 JavaScript get Vector int32Array 0.003 s -0.217
2023-01-16 19:47 JavaScript get Vector float32Array 0.002 s 0.609
2023-01-16 19:47 JavaScript get Vector numbers 0.002 s 0.701
2023-01-16 19:47 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.672
2023-01-16 19:47 JavaScript toArray Vector dictionary 0.010 s -0.545
2023-01-16 19:47 JavaScript get Vector uint8Array 0.003 s -0.005
2023-01-16 19:47 JavaScript get Vector uint32Array 0.003 s -0.062
2023-01-16 19:47 JavaScript get Vector uint16Array 0.003 s -0.156
2023-01-16 19:47 JavaScript get Vector int16Array 0.003 s -0.182
2023-01-16 19:47 JavaScript get Vector booleans 0.002 s 0.121
2023-01-16 19:47 JavaScript get Vector string 0.123 s 1.460
2023-01-16 19:47 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.333
2023-01-16 19:47 JavaScript get Vector uint64Array 0.003 s -0.311
2023-01-16 19:47 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.918
2023-01-16 19:47 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.092
2023-01-16 19:47 JavaScript get Vector float64Array 0.002 s 1.202
2023-01-16 19:47 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.469
2023-01-16 19:47 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.221
2023-01-16 19:47 JavaScript Parse write recordBatches, tracks 0.002 s 0.732
2023-01-16 19:47 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.765
2023-01-16 19:47 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.621
2023-01-16 19:47 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-16 19:47 JavaScript Table tracks, 1,000,000 0.275 s -0.187
2023-01-16 19:47 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.113
2023-01-16 19:47 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.600
2023-01-16 19:47 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.109
2023-01-16 19:47 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.881
2023-01-16 19:47 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-16 19:47 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.500
2023-01-16 19:47 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.009
2023-01-16 19:47 JavaScript Table 1,000,000, tracks 0.302 s -1.069
2023-01-16 19:47 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-16 19:47 JavaScript Table tracks, 1,000,000 0.050 s -0.054
2023-01-16 19:47 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-16 19:47 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.191 s -1.164
2023-01-16 19:47 JavaScript Table tracks, 1,000,000 0.094 s 1.190