Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-18 15:09 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.222 s 0.410
2023-01-18 15:09 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.781 s 0.274
2023-01-18 15:10 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.099 s -1.136
2023-01-18 15:11 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.060 s -1.085
2023-01-18 15:11 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.430 s 1.169
2023-01-18 15:11 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.125 s 0.169
2023-01-18 15:12 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.332 s 1.428
2023-01-18 15:12 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.276 s 1.411
2023-01-18 15:14 Python dataframe-to-table chi_traffic_2020_Q1 21.261 s -1.442
2023-01-18 15:14 Python dataframe-to-table type_floats 0.010 s 0.176
2023-01-18 15:14 Python dataframe-to-table type_strings 0.427 s 0.117
2023-01-18 15:14 Python dataframe-to-table type_integers 0.010 s 1.105
2023-01-18 15:14 Python dataframe-to-table type_dict 0.011 s 1.082
2023-01-18 15:15 Python dataframe-to-table type_nested 2.985 s -1.014
2023-01-18 15:15 Python dataset-filter nyctaxi_2010-01 1.017 s 0.001
2023-01-18 15:19 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 82.976 s -0.152
2023-01-18 15:23 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 84.804 s -0.382
2023-01-18 15:35 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.660 s 0.280
2023-01-18 15:35 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.650
2023-01-18 15:35 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.730 s 4.710
2023-01-18 15:36 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.945 s -2.031
2023-01-18 15:36 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.198 s 2.177
2023-01-18 15:40 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.654
2023-01-18 15:34 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.468 s -1.013
2023-01-18 15:35 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.036 s 0.284
2023-01-18 15:35 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.141 s -0.224
2023-01-18 15:34 Python dataset-read async=True, nyctaxi_multi_ipc_s3 218.216 s 0.680
2023-01-18 15:35 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.293 s 0.284
2023-01-18 15:35 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.308 s -2.320
2023-01-18 15:37 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.261 s 4.672
2023-01-18 15:40 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.149 s 1.002
2023-01-18 15:35 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.036 s 0.284
2023-01-18 15:35 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.267
2023-01-18 15:34 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.177 s 0.237
2023-01-18 15:35 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.205 s 0.273
2023-01-18 15:35 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.167 s -0.141
2023-01-18 15:35 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.205 s -0.127
2023-01-18 15:36 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.955
2023-01-18 15:48 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.154
2023-01-18 15:40 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.402 s -1.799
2023-01-18 15:53 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.410 s -1.074
2023-01-18 15:48 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.097
2023-01-18 15:49 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.877
2023-01-18 16:02 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.302 s 0.380
2023-01-18 16:04 Python file-read lz4, feather, table, nyctaxi_2010-01 1.010 s -3.365
2023-01-18 15:48 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.328 s 4.662
2023-01-18 15:48 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.072 s -1.849
2023-01-18 15:53 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.409 s 0.168
2023-01-18 15:48 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.273
2023-01-18 15:48 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.834 s 4.627
2023-01-18 15:48 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.289 s -1.662
2023-01-18 15:49 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.383 s 4.658
2023-01-18 15:53 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.133 s -1.816
2023-01-18 16:03 Python file-read lz4, feather, table, fanniemae_2016Q4 0.807 s 0.453
2023-01-18 16:06 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.999 s -1.478
2023-01-18 16:07 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.351 s -0.125
2023-01-18 16:03 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.929 s 0.139
2023-01-18 16:12 Python wide-dataframe use_legacy_dataset=false 0.516 s 0.065
2023-01-18 16:02 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.655 s -0.009
2023-01-18 16:03 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.206 s 0.317
2023-01-18 16:02 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.664 s -0.373
2023-01-18 16:02 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.499 s -0.036
2023-01-18 16:06 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.355 s -1.413
2023-01-18 16:02 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.151 s 4.682
2023-01-18 16:03 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.942 s 0.003
2023-01-18 16:07 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.491 s -1.295
2023-01-18 16:11 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.729 s -0.028
2023-01-18 16:02 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.524 s -0.776
2023-01-18 16:04 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 2.025 s -1.834
2023-01-18 16:10 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.841 s -0.928
2023-01-18 16:20 R dataframe-to-table chi_traffic_2020_Q1, R 4.392 s -1.171
2023-01-18 16:03 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.617 s 0.335
2023-01-18 16:03 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.967 s 0.277
2023-01-18 16:03 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.934 s 0.335
2023-01-18 16:04 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.703 s -1.045
2023-01-18 16:08 Python file-write lz4, feather, table, fanniemae_2016Q4 1.872 s -0.135
2023-01-18 16:11 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.182 s -0.243
2023-01-18 16:03 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.985 s 0.006
2023-01-18 16:04 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.668 s -3.533
2023-01-18 16:08 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.350 s -0.271
2023-01-18 16:09 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.906 s -0.467
2023-01-18 16:11 Python file-write lz4, feather, table, nyctaxi_2010-01 1.831 s -0.329
2023-01-18 16:21 R dataframe-to-table type_floats, R 0.013 s 0.393
2023-01-18 16:11 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.287 s -0.654
2023-01-18 16:20 R dataframe-to-table type_integers, R 0.010 s 0.513
2023-01-18 16:09 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.934 s -0.298
2023-01-18 16:11 Python wide-dataframe use_legacy_dataset=true 0.377 s 0.244
2023-01-18 16:10 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.412 s -0.720
2023-01-18 16:11 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.231 s -0.243
2023-01-18 16:21 R dataframe-to-table type_nested, R 0.575 s -0.569
2023-01-18 16:21 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.327 s -0.487
2023-01-18 16:21 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.575 s -0.274
2023-01-18 16:20 R dataframe-to-table type_strings, R 0.534 s 0.153
2023-01-18 16:20 R dataframe-to-table type_dict, R 0.062 s -0.768
2023-01-18 16:21 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.319 s -0.168
2023-01-18 16:22 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.603 s 0.244
2023-01-18 16:22 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -0.476
2023-01-18 16:23 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.568 s -0.146
2023-01-18 16:22 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.313 s 0.261
2023-01-18 16:23 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.570 s -0.249
2023-01-18 16:22 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.568 s 0.263
2023-01-18 16:23 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.915 s -0.127
2023-01-18 16:23 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.922 s -0.332
2023-01-18 16:22 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.852 s 0.266
2023-01-18 16:23 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.575 s 0.310
2023-01-18 16:23 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.816 s 0.306
2023-01-18 16:23 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.300
2023-01-18 16:25 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.979 s -1.551
2023-01-18 16:24 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.906 s 0.259
2023-01-18 16:27 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.878 s -1.224
2023-01-18 16:27 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.382 s -1.501
2023-01-18 16:29 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.356 s -1.347
2023-01-18 16:30 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.961 s -0.211
2023-01-18 16:32 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.012 s 0.677
2023-01-18 16:32 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.497 s -1.222
2023-01-18 16:33 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.456 s 0.858
2023-01-18 16:34 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.999 s -0.719
2023-01-18 16:35 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.802 s -0.506
2023-01-18 16:36 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.726 s -0.649
2023-01-18 16:38 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.768 s -0.619
2023-01-18 16:38 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.310 s 0.006
2023-01-18 16:39 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.174 s -0.201
2023-01-18 16:40 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s 0.037
2023-01-18 16:41 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.077 s -0.231
2023-01-18 16:41 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.560 s 0.165
2023-01-18 16:42 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.604 s -0.217
2023-01-18 16:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.242 s 0.190
2023-01-18 16:41 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.605 s -1.089
2023-01-18 16:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.201 s 0.200
2023-01-18 16:42 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.253 s 0.013
2023-01-18 16:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.221
2023-01-18 16:43 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.592 s -0.209
2023-01-18 16:43 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s 0.240
2023-01-18 16:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.283 s 0.155
2023-01-18 16:43 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.000 s 0.504
2023-01-18 16:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.336 s 0.005
2023-01-18 16:43 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.713 s 0.513
2023-01-18 16:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.282 s -0.192
2023-01-18 16:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.351 s 0.043
2023-01-18 16:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.124
2023-01-18 16:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.175
2023-01-18 16:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s 0.238
2023-01-18 16:45 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.271 s 0.095
2023-01-18 16:45 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.687 s -2.438
2023-01-18 16:45 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.233 s 0.179
2023-01-18 16:45 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.229 s 0.135
2023-01-18 16:45 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.124 s -2.614
2023-01-18 16:46 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.163
2023-01-18 16:45 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.306 s 0.140
2023-01-18 16:46 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.591 s 0.049
2023-01-18 16:46 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.888 s 0.529
2023-01-18 16:47 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.268
2023-01-18 16:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.327
2023-01-18 16:47 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.570 s -0.250
2023-01-18 16:47 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.332
2023-01-18 16:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.244 s 0.251
2023-01-18 16:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.235 s 0.243
2023-01-18 16:47 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.295
2023-01-18 16:49 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.360 s -0.051
2023-01-18 16:49 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.321 s 0.205
2023-01-18 16:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.262 s 0.154
2023-01-18 16:48 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.206 s -0.164
2023-01-18 16:48 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.907 s 0.568
2023-01-18 16:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.315 s 0.196
2023-01-18 16:49 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.238
2023-01-18 16:49 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.650 s -0.178
2023-01-18 16:50 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.637 s -0.129
2023-01-18 16:50 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.727 s -0.274
2023-01-18 16:50 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.162 s 0.199
2023-01-18 16:50 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.290
2023-01-18 16:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.235 s 0.267
2023-01-18 16:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.203 s 0.191
2023-01-18 16:51 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.513 s 0.055
2023-01-18 16:51 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s 0.438
2023-01-18 16:51 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.309
2023-01-18 16:51 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.268 s -0.010
2023-01-18 16:52 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.376 s 0.275
2023-01-18 16:52 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.340 s 0.350
2023-01-18 16:52 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.290 s 0.389
2023-01-18 16:52 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.293 s 0.323
2023-01-18 16:52 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.666 s 0.118
2023-01-18 16:53 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.782 s 0.326
2023-01-18 16:52 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.349 s 0.330
2023-01-18 16:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.397 s 0.275
2023-01-18 16:54 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.431 s 0.202
2023-01-18 16:53 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.656 s -0.154
2023-01-18 16:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.325
2023-01-18 16:54 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.316
2023-01-18 16:54 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.369 s 0.267
2023-01-18 16:54 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.723 s 0.051
2023-01-18 16:55 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.612 s 0.332
2023-01-18 16:55 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.758 s 0.091
2023-01-18 16:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.297 s 0.236
2023-01-18 16:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.325 s 0.285
2023-01-18 16:56 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.775 s 0.128
2023-01-18 16:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.339 s 0.140
2023-01-18 16:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.869 s 0.055
2023-01-18 17:03 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.426 s -1.145
2023-01-18 17:08 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.533 s 0.087
2023-01-18 16:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.322
2023-01-18 16:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.374 s 0.253
2023-01-18 17:00 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.249 s -0.326
2023-01-18 16:56 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.439 s 0.331
2023-01-18 16:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.301 s 0.223
2023-01-18 17:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.327 s -3.089
2023-01-18 17:01 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.694 s -1.528
2023-01-18 17:02 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.659 s -0.823
2023-01-18 16:58 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.783 s -0.371
2023-01-18 17:00 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.317 s -1.411
2023-01-18 17:04 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.527 s -0.319
2023-01-18 16:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.264 s 0.149
2023-01-18 17:01 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.494 s -0.863
2023-01-18 17:02 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.241 s 0.001
2023-01-18 17:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.443 s 0.013
2023-01-18 17:05 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.513 s 0.633
2023-01-18 17:06 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.318
2023-01-18 17:06 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.268
2023-01-18 17:09 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.323 s 0.275
2023-01-18 16:57 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.163 s -0.226
2023-01-18 16:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.306 s 0.178
2023-01-18 16:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.547 s -0.175
2023-01-18 17:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.369 s -0.045
2023-01-18 17:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.357 s -2.053
2023-01-18 17:03 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.608 s -0.568
2023-01-18 17:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.310 s -2.628
2023-01-18 17:07 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.620 s -0.369
2023-01-18 16:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.133
2023-01-18 16:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.173
2023-01-18 16:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.208
2023-01-18 16:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.330 s 0.134
2023-01-18 17:07 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.622 s -0.117
2023-01-18 17:08 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.878 s 0.495
2023-01-18 17:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.271
2023-01-18 16:56 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.965 s -0.219
2023-01-18 16:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.278
2023-01-18 16:58 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.655 s 0.111
2023-01-18 17:00 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.210 s 0.145
2023-01-18 17:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.175
2023-01-18 17:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.287 s 0.237
2023-01-18 17:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.591 s 0.100
2023-01-18 17:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.131
2023-01-18 17:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.139
2023-01-18 16:58 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.870 s 0.507
2023-01-18 16:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.211 s 0.155
2023-01-18 17:01 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.915 s -0.302
2023-01-18 17:03 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.430 s -0.026
2023-01-18 17:04 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.268 s 0.267
2023-01-18 17:05 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.934 s 0.107
2023-01-18 17:08 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.328 s 0.094
2023-01-18 17:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.221 s 0.228
2023-01-18 17:10 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.875 s 0.033
2023-01-18 17:03 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.867 s -0.288
2023-01-18 17:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.199
2023-01-18 17:04 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.336 s 0.203
2023-01-18 17:06 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.265
2023-01-18 17:06 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.062 s -0.532
2023-01-18 17:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.255 s 0.251
2023-01-18 17:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.198 s 0.182
2023-01-18 17:08 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.222 s 0.237
2023-01-18 17:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.217 s 0.273
2023-01-18 17:10 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.669 s 0.016
2023-01-18 17:11 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.242 s 0.256
2023-01-18 17:11 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.266 s 0.231
2023-01-18 17:13 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.344 s -0.479
2023-01-18 17:08 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.286 s 0.242
2023-01-18 17:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.252
2023-01-18 17:13 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.895 s -0.909
2023-01-18 17:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.983 s -0.331
2023-01-18 17:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.239 s 0.245
2023-01-18 17:09 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.108 s -0.037
2023-01-18 17:09 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.270 s 0.210
2023-01-18 17:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.186
2023-01-18 17:13 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s 0.042
2023-01-18 17:18 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.136 s 0.026
2023-01-18 17:11 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.320
2023-01-18 17:12 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.457 s -0.157
2023-01-18 17:14 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.660 s -1.106
2023-01-18 17:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.323 s 0.071
2023-01-18 17:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.373 s 0.102
2023-01-18 17:09 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.009 s -0.470
2023-01-18 17:11 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.226
2023-01-18 17:16 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.220 s -0.613
2023-01-18 17:11 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.543 s 0.003
2023-01-18 17:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.262 s 0.206
2023-01-18 17:32 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.722
2023-01-18 17:17 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.729 s 0.173
2023-01-18 17:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.243 s 0.210
2023-01-18 17:23 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.157
2023-01-18 17:12 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.278 s 0.069
2023-01-18 17:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.166
2023-01-18 17:17 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.451 s 0.047
2023-01-18 17:17 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.795 s 0.043
2023-01-18 17:13 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.446 s -0.010
2023-01-18 17:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.135
2023-01-18 17:16 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.605 s 0.047
2023-01-18 17:17 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.884 s -0.268
2023-01-18 17:14 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.502 s -1.462
2023-01-18 17:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.395 s 0.079
2023-01-18 17:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.127
2023-01-18 17:31 JavaScript vectorFromArray numbers 0.016 s 0.176
2023-01-18 17:32 JavaScript Table tracks, 1,000,000 0.275 s -0.156
2023-01-18 17:32 JavaScript Spread Vector uint32Array 0.007 s 0.434
2023-01-18 17:32 JavaScript toArray Vector int32Array
2023-01-18 17:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.972 s -0.604
2023-01-18 17:22 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.209 s -1.636
2023-01-18 17:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.269
2023-01-18 17:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.187
2023-01-18 17:23 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.457 s -0.008
2023-01-18 17:23 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.347 s -0.298
2023-01-18 17:32 JavaScript Spread Vector int8Array 0.006 s -0.034
2023-01-18 17:32 JavaScript Spread Vector float32Array 0.008 s -0.448
2023-01-18 17:32 JavaScript get Vector int64Array 0.003 s -1.058
2023-01-18 17:31 JavaScript Iterate Vector float32Array 0.002 s 0.930
2023-01-18 17:32 JavaScript toArray Vector dictionary 0.010 s 1.497
2023-01-18 17:32 JavaScript get Vector uint8Array 0.003 s -0.129
2023-01-18 17:32 JavaScript get Vector uint32Array 0.003 s -0.722
2023-01-18 17:31 JavaScript Iterate Vector uint64Array 0.004 s 1.098
2023-01-18 17:31 JavaScript Iterate Vector int64Array 0.004 s 0.551
2023-01-18 17:31 JavaScript Iterate Vector float64Array 0.002 s 0.886
2023-01-18 17:32 JavaScript Iterate Vector string 0.126 s 0.192
2023-01-18 17:32 JavaScript Spread Vector uint64Array 0.012 s 1.072
2023-01-18 17:31 JavaScript Iterate Vector numbers 0.002 s 0.829
2023-01-18 17:32 JavaScript Iterate Vector dictionary 0.004 s 0.318
2023-01-18 17:32 JavaScript Spread Vector uint8Array 0.006 s 0.858
2023-01-18 17:32 JavaScript Spread Vector int32Array 0.006 s 0.385
2023-01-18 17:31 JavaScript Iterate Vector booleans 0.004 s 1.184
2023-01-18 17:32 JavaScript Spread Vector int16Array 0.006 s 0.246
2023-01-18 17:32 JavaScript toArray Vector float64Array
2023-01-18 17:32 JavaScript get Vector uint64Array 0.003 s -1.101
2023-01-18 17:32 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -1.301
2023-01-18 17:31 JavaScript vectorFromArray booleans 0.018 s 0.257
2023-01-18 17:31 JavaScript Iterate Vector uint8Array 0.002 s -0.019
2023-01-18 17:31 JavaScript Iterate Vector uint32Array 0.002 s 0.540
2023-01-18 17:31 JavaScript Iterate Vector int8Array 0.002 s 0.370
2023-01-18 17:31 JavaScript Iterate Vector int32Array 0.002 s 0.128
2023-01-18 17:31 JavaScript vectorFromArray dictionary 0.017 s 0.744
2023-01-18 17:32 JavaScript Spread Vector booleans 0.010 s 1.124
2023-01-18 17:32 JavaScript Spread Vector string 0.145 s 0.484
2023-01-18 17:32 JavaScript toArray Vector uint16Array
2023-01-18 17:32 JavaScript toArray Vector uint64Array
2023-01-18 17:32 JavaScript toArray Vector int64Array
2023-01-18 17:32 JavaScript toArray Vector booleans 0.010 s 1.378
2023-01-18 17:31 JavaScript Iterate Vector uint16Array 0.002 s 0.596
2023-01-18 17:31 JavaScript Iterate Vector int16Array 0.002 s 0.399
2023-01-18 17:32 JavaScript Spread Vector uint16Array 0.006 s 0.495
2023-01-18 17:32 JavaScript Spread Vector int64Array 0.012 s 1.548
2023-01-18 17:32 JavaScript get Vector uint16Array 0.003 s -0.222
2023-01-18 17:32 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.647
2023-01-18 17:32 JavaScript Spread Vector float64Array 0.008 s 0.674
2023-01-18 17:32 JavaScript toArray Vector int16Array
2023-01-18 17:32 JavaScript toArray Vector string 0.145 s 0.146
2023-01-18 17:32 JavaScript get Vector int16Array 0.003 s 0.055
2023-01-18 17:32 JavaScript get Vector booleans 0.002 s -0.619
2023-01-18 17:32 JavaScript get Vector string 0.124 s 0.758
2023-01-18 17:32 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.365
2023-01-18 17:32 JavaScript Spread Vector numbers 0.008 s 0.233
2023-01-18 17:32 JavaScript Spread Vector dictionary 0.010 s 1.143
2023-01-18 17:32 JavaScript toArray Vector uint8Array
2023-01-18 17:32 JavaScript toArray Vector uint32Array
2023-01-18 17:32 JavaScript toArray Vector int8Array
2023-01-18 17:32 JavaScript toArray Vector float32Array
2023-01-18 17:32 JavaScript get Vector int32Array 0.003 s -0.375
2023-01-18 17:32 JavaScript toArray Vector numbers
2023-01-18 17:32 JavaScript Table tracks, 1,000,000 0.051 s -2.514
2023-01-18 17:32 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.096
2023-01-18 17:32 JavaScript get Vector int8Array 0.003 s -0.061
2023-01-18 17:32 JavaScript get Vector float32Array 0.002 s -1.599
2023-01-18 17:32 JavaScript get Vector numbers 0.002 s -0.234
2023-01-18 17:32 JavaScript get Vector dictionary 0.002 s 0.506
2023-01-18 17:32 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.034
2023-01-18 17:32 JavaScript get Vector float64Array 0.002 s -0.291
2023-01-18 17:32 JavaScript Parse write recordBatches, tracks 0.002 s 0.471
2023-01-18 17:32 JavaScript Parse read recordBatches, tracks 0.000 s 0.392
2023-01-18 17:32 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -1.091
2023-01-18 17:32 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.624
2023-01-18 17:32 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.602
2023-01-18 17:32 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.439
2023-01-18 17:32 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.428
2023-01-18 17:32 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.442
2023-01-18 17:32 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.650
2023-01-18 17:32 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.162
2023-01-18 17:32 JavaScript Table tracks, 1,000,000 0.094 s 1.506
2023-01-18 17:32 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.099
2023-01-18 17:32 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.991
2023-01-18 17:32 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.876
2023-01-18 17:32 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-18 17:32 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 17:32 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-18 17:32 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 17:32 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.613
2023-01-18 17:32 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.152
2023-01-18 17:32 JavaScript Table 1,000,000, tracks 0.307 s -1.259