Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-18 20:56 Python dataframe-to-table type_integers 0.010 s 0.593
2023-01-18 20:51 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.222 s 0.408
2023-01-18 21:16 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.199 s 0.109
2023-01-18 21:16 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.037 s 0.278
2023-01-18 21:16 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.650 s 0.297
2023-01-18 21:34 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.408 s -0.245
2023-01-18 20:52 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.434 s 0.668
2023-01-18 20:56 Python dataframe-to-table type_strings 0.432 s -1.495
2023-01-18 20:56 Python dataframe-to-table type_dict 0.011 s 0.369
2023-01-18 20:56 Python dataframe-to-table type_floats 0.010 s 0.178
2023-01-18 21:04 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.186 s 0.406
2023-01-18 20:51 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.125 s -1.161
2023-01-18 20:56 Python dataframe-to-table type_nested 2.949 s 0.957
2023-01-18 20:53 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.118 s 0.253
2023-01-18 20:54 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.253 s 1.398
2023-01-18 20:52 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.077 s -1.098
2023-01-18 20:55 Python dataframe-to-table chi_traffic_2020_Q1 20.832 s 1.813
2023-01-18 20:56 Python dataset-filter nyctaxi_2010-01 1.017 s -0.009
2023-01-18 21:00 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 74.413 s 0.742
2023-01-18 21:16 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.309 s 0.112
2023-01-18 21:17 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.490
2023-01-18 20:50 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.787 s -0.176
2023-01-18 20:53 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.310 s 1.411
2023-01-18 21:16 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.206 s -0.177
2023-01-18 21:21 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.423 s -1.858
2023-01-18 21:22 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.147 s 1.634
2023-01-18 21:16 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.189 s -1.906
2023-01-18 21:34 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.127 s -1.703
2023-01-18 21:16 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.239 s 0.061
2023-01-18 21:17 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.731 s 3.720
2023-01-18 21:29 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.836 s 3.689
2023-01-18 21:16 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.031 s 0.296
2023-01-18 21:16 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.173 s -0.413
2023-01-18 21:17 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.941 s -1.599
2023-01-18 21:17 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.210
2023-01-18 21:18 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.269 s 3.747
2023-01-18 21:21 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.145 s 2.028
2023-01-18 21:29 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.371 s 3.790
2023-01-18 21:29 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.730
2023-01-18 21:30 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.236
2023-01-18 21:15 Python dataset-read async=True, nyctaxi_multi_ipc_s3 226.084 s -0.332
2023-01-18 21:17 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.308 s -2.374
2023-01-18 21:30 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.070 s -1.694
2023-01-18 21:31 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.392 s 3.719
2023-01-18 21:16 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.307 s 0.193
2023-01-18 21:17 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -2.093
2023-01-18 21:29 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.818
2023-01-18 21:30 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.480
2023-01-18 21:17 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.382
2023-01-18 21:29 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.291 s -1.948
2023-01-18 21:34 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.409 s 0.166
2023-01-18 21:43 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.270 s 3.714
2023-01-18 21:43 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.632 s 0.268
2023-01-18 21:43 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.625 s 0.151
2023-01-18 21:43 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.499 s 0.010
2023-01-18 21:44 Python file-read lz4, feather, table, fanniemae_2016Q4 0.807 s 0.450
2023-01-18 21:44 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.625 s 0.316
2023-01-18 21:43 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.499 s -0.088
2023-01-18 21:44 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.311 s 0.344
2023-01-18 21:45 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.337 s 0.304
2023-01-18 21:44 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.975 s 0.131
2023-01-18 21:44 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.923 s 0.215
2023-01-18 21:45 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.938 s 0.044
2023-01-18 21:44 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.200 s 0.452
2023-01-18 21:44 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.986 s 0.024
2023-01-18 21:45 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.935 s 0.334
2023-01-18 21:45 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.586 s 0.351
2023-01-18 21:45 Python file-read lz4, feather, table, nyctaxi_2010-01 0.681 s 0.266
2023-01-18 21:46 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.841 s -1.776
2023-01-18 21:47 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.309 s -1.164
2023-01-18 21:47 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.993 s -1.385
2023-01-18 21:48 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.514 s -1.341
2023-01-18 21:49 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.263 s 0.013
2023-01-18 21:49 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.192 s -0.005
2023-01-18 21:50 Python file-write lz4, feather, table, fanniemae_2016Q4 1.847 s 0.075
2023-01-18 21:51 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.881 s -0.337
2023-01-18 21:51 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.368 s -0.413
2023-01-18 21:50 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.880 s 0.129
2023-01-18 21:51 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.786 s -0.521
2023-01-18 21:52 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.258 s -0.425
2023-01-18 21:52 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.118 s 0.004
2023-01-18 21:52 Python file-write lz4, feather, table, nyctaxi_2010-01 1.791 s -0.046
2023-01-18 21:52 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.706 s 0.058
2023-01-18 21:53 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.219 s -0.169
2023-01-18 21:53 Python wide-dataframe use_legacy_dataset=true 0.379 s 0.039
2023-01-18 21:53 Python wide-dataframe use_legacy_dataset=false 0.527 s -0.986
2023-01-18 22:01 R dataframe-to-table type_strings, R 0.535 s 0.007
2023-01-18 22:01 R dataframe-to-table chi_traffic_2020_Q1, R 4.381 s -0.984
2023-01-18 22:02 R dataframe-to-table type_floats, R 0.013 s 0.481
2023-01-18 22:02 R dataframe-to-table type_nested, R 0.574 s -0.176
2023-01-18 22:02 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -0.490
2023-01-18 22:02 R dataframe-to-table type_integers, R 0.010 s 0.522
2023-01-18 22:02 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.318 s -0.132
2023-01-18 22:01 R dataframe-to-table type_dict, R 0.062 s -0.809
2023-01-18 22:03 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.330 s -0.642
2023-01-18 22:04 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.214 s 0.320
2023-01-18 22:09 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.375 s -1.403
2023-01-18 22:03 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.317 s 0.243
2023-01-18 22:11 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.363 s -1.339
2023-01-18 22:13 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.490 s 0.943
2023-01-18 22:05 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.818 s 0.300
2023-01-18 22:04 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.567 s -0.135
2023-01-18 22:04 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.920 s -0.264
2023-01-18 22:13 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.012 s 0.629
2023-01-18 22:03 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.575 s -0.309
2023-01-18 22:05 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.908 s 0.253
2023-01-18 22:04 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.856 s 0.239
2023-01-18 22:08 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.904 s -1.326
2023-01-18 22:03 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.591 s 0.320
2023-01-18 22:04 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.918 s -0.183
2023-01-18 22:05 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.579 s 0.297
2023-01-18 22:06 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.979 s -1.488
2023-01-18 22:03 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.571 s 0.253
2023-01-18 22:04 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.568 s -0.179
2023-01-18 22:15 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.444 s 1.061
2023-01-18 22:11 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.961 s -0.139
2023-01-18 22:16 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.003 s -0.726
2023-01-18 22:17 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.808 s -0.537
2023-01-18 22:18 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.731 s -0.673
2023-01-18 22:19 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.774 s -0.648
2023-01-18 22:20 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.308 s 0.836
2023-01-18 22:21 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.176 s -0.237
2023-01-18 22:21 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.283
2023-01-18 22:23 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.603 s -1.082
2023-01-18 22:22 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.084 s -0.543
2023-01-18 22:23 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.250 s 0.362
2023-01-18 22:22 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.555 s 0.430
2023-01-18 22:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.243
2023-01-18 22:23 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.603 s -0.138
2023-01-18 22:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.201 s 0.185
2023-01-18 22:24 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s 0.201
2023-01-18 22:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.241
2023-01-18 22:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.181
2023-01-18 22:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.592 s -0.181
2023-01-18 22:24 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 0.996 s 0.968
2023-01-18 22:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.279 s 0.097
2023-01-18 22:25 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.695 s 0.640
2023-01-18 22:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.169
2023-01-18 22:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.193
2023-01-18 22:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.142
2023-01-18 22:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.433 s 0.168
2023-01-18 22:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.334 s 0.280
2023-01-18 22:26 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.704 s -3.528
2023-01-18 22:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.165
2023-01-18 22:26 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.150 s -3.501
2023-01-18 22:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.197
2023-01-18 22:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.243
2023-01-18 22:27 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.589 s 0.120
2023-01-18 22:27 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.304 s 0.224
2023-01-18 22:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.159
2023-01-18 22:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.889 s 0.479
2023-01-18 22:28 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.556 s -0.104
2023-01-18 22:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.333
2023-01-18 22:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.278
2023-01-18 22:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.233 s 0.311
2023-01-18 22:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.243 s 0.296
2023-01-18 22:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.315
2023-01-18 22:29 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.254
2023-01-18 22:29 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.915 s 0.135
2023-01-18 22:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.213 s -0.300
2023-01-18 22:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.198
2023-01-18 22:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.262 s 0.161
2023-01-18 22:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.647 s -0.087
2023-01-18 22:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.231
2023-01-18 22:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.324 s 0.005
2023-01-18 22:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.351 s 0.232
2023-01-18 22:31 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.773 s -0.804
2023-01-18 22:31 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.635 s 0.000
2023-01-18 22:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.208
2023-01-18 22:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.224
2023-01-18 22:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.288
2023-01-18 22:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.272
2023-01-18 22:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.284
2023-01-18 22:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.510 s 0.156
2023-01-18 22:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.353 s 0.248
2023-01-18 22:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.292 s 0.289
2023-01-18 22:33 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.275 s -0.083
2023-01-18 22:33 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.341 s 0.327
2023-01-18 22:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.294 s 0.293
2023-01-18 22:33 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.373 s 0.329
2023-01-18 22:34 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.351 s 0.284
2023-01-18 22:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.665 s 0.145
2023-01-18 22:34 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.781 s 0.328
2023-01-18 22:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.625 s 0.036
2023-01-18 22:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.262
2023-01-18 22:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.312
2023-01-18 22:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.239
2023-01-18 22:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.395 s 0.320
2023-01-18 22:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.260
2023-01-18 22:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.717 s 0.204
2023-01-18 22:36 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.614 s 0.242
2023-01-18 22:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.313
2023-01-18 22:36 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.813 s -0.269
2023-01-18 22:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.319
2023-01-18 22:37 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.300 s 0.119
2023-01-18 22:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.372 s 0.314
2023-01-18 22:37 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.443 s 0.122
2023-01-18 22:38 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.964 s -0.107
2023-01-18 22:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.768 s 0.278
2023-01-18 22:38 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.583 s -3.608
2023-01-18 22:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.258
2023-01-18 22:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.161
2023-01-18 22:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.308 s -3.963
2023-01-18 22:39 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.412 s -3.689
2023-01-18 22:39 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.341 s 0.096
2023-01-18 22:39 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.649 s 0.272
2023-01-18 22:40 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.869 s 0.609
2023-01-18 22:40 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.747 s -0.019
2023-01-18 22:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.262 s 0.205
2023-01-18 22:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.211 s 0.122
2023-01-18 22:41 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.201
2023-01-18 22:41 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.867 s 0.187
2023-01-18 22:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.255
2023-01-18 22:41 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.330 s 0.110
2023-01-18 22:42 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.135
2023-01-18 22:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.543 s -0.040
2023-01-18 22:42 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.262 s -0.439
2023-01-18 22:42 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.154
2023-01-18 22:42 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.295
2023-01-18 22:42 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.369 s -0.014
2023-01-18 22:43 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.496 s -1.018
2023-01-18 22:43 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.917 s -0.322
2023-01-18 22:43 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.697 s -1.503
2023-01-18 22:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.430 s -0.072
2023-01-18 22:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.331 s 0.145
2023-01-18 22:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.241 s 0.040
2023-01-18 22:44 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.451 s -0.224
2023-01-18 22:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.192
2023-01-18 22:45 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.449 s -1.425
2023-01-18 22:45 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.611 s -0.761
2023-01-18 22:45 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.864 s -0.201
2023-01-18 22:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.267 s 0.259
2023-01-18 22:46 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.221
2023-01-18 22:46 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.526 s -0.293
2023-01-18 22:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.334 s 0.246
2023-01-18 22:46 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.258
2023-01-18 22:46 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.443 s -0.024
2023-01-18 22:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.937 s 0.058
2023-01-18 22:47 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.512 s 0.706
2023-01-18 22:48 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.209 s 0.290
2023-01-18 22:47 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.948 s -0.156
2023-01-18 22:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.313
2023-01-18 22:48 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.259
2023-01-18 22:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.297
2023-01-18 22:48 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.251
2023-01-18 22:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.588 s 0.201
2023-01-18 22:49 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.614 s 0.253
2023-01-18 22:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.238 s 0.300
2023-01-18 22:49 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.631 s -0.457
2023-01-18 22:49 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.292
2023-01-18 22:49 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.220 s 0.313
2023-01-18 22:50 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s 0.328
2023-01-18 22:50 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.332
2023-01-18 22:50 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.532 s 0.111
2023-01-18 22:50 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.886 s 0.090
2023-01-18 22:50 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.088 s 0.147
2023-01-18 22:51 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.219 s 0.193
2023-01-18 22:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.268 s 0.261
2023-01-18 22:51 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.256
2023-01-18 22:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.313
2023-01-18 22:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.998 s -0.281
2023-01-18 22:51 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.242
2023-01-18 22:52 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.670 s -0.060
2023-01-18 22:52 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.939 s -0.120
2023-01-18 22:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.291
2023-01-18 22:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.303
2023-01-18 22:53 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.207 s 0.328
2023-01-18 22:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.258
2023-01-18 22:53 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.408 s -0.059
2023-01-18 22:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.534 s 0.266
2023-01-18 22:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.204
2023-01-18 22:55 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s -0.018
2023-01-18 22:54 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.272 s 0.187
2023-01-18 22:54 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.462 s -0.304
2023-01-18 22:54 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.380 s -0.970
2023-01-18 22:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.444 s 0.089
2023-01-18 22:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.341 s -0.342
2023-01-18 22:55 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.892 s -0.421
2023-01-18 22:56 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.659 s -1.019
2023-01-18 22:57 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.160
2023-01-18 22:57 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.144
2023-01-18 22:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.371 s 0.190
2023-01-18 22:57 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.458 s -1.084
2023-01-18 22:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.965 s 0.114
2023-01-18 22:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.175
2023-01-18 22:57 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.097
2023-01-18 22:59 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.395 s 0.057
2023-01-18 22:58 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.603 s 0.191
2023-01-18 23:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.220
2023-01-18 23:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.154
2023-01-18 22:59 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.731 s -0.103
2023-01-18 22:59 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.884 s -0.238
2023-01-18 22:58 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.256 s -0.736
2023-01-18 22:59 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.797 s -0.048
2023-01-18 23:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.240
2023-01-18 23:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.451 s 0.191
2023-01-18 23:00 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.160 s -0.581
2023-01-18 22:59 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.453 s -0.139
2023-01-18 23:04 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.142
2023-01-18 23:05 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.306
2023-01-18 23:04 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.246 s 0.096
2023-01-18 23:02 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.964 s -0.532
2023-01-18 23:04 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.659 s 0.033
2023-01-18 23:05 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.363 s -0.483
2023-01-18 23:14 JavaScript Iterate Vector uint16Array 0.002 s -0.027
2023-01-18 23:14 JavaScript Spread Vector string 0.145 s 0.542
2023-01-18 23:14 JavaScript toArray Vector int64Array
2023-01-18 23:14 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.178
2023-01-18 23:14 JavaScript toArray Vector int8Array
2023-01-18 23:14 JavaScript toArray Vector int32Array
2023-01-18 23:14 JavaScript vectorFromArray dictionary 0.017 s -0.102
2023-01-18 23:14 JavaScript Iterate Vector int16Array 0.002 s 0.561
2023-01-18 23:14 JavaScript Spread Vector float32Array 0.008 s -0.786
2023-01-18 23:14 JavaScript vectorFromArray numbers 0.016 s 0.502
2023-01-18 23:14 JavaScript Iterate Vector booleans 0.004 s -0.764
2023-01-18 23:14 JavaScript Iterate Vector string 0.127 s -0.417
2023-01-18 23:14 JavaScript Spread Vector uint16Array 0.007 s -0.479
2023-01-18 23:14 JavaScript Iterate Vector uint8Array 0.002 s 0.067
2023-01-18 23:14 JavaScript Iterate Vector uint32Array 0.002 s 0.392
2023-01-18 23:14 JavaScript Iterate Vector int32Array 0.002 s 0.404
2023-01-18 23:14 JavaScript Iterate Vector float32Array 0.002 s 0.757
2023-01-18 23:14 JavaScript get Vector string 0.125 s -0.079
2023-01-18 23:14 JavaScript vectorFromArray booleans 0.018 s 0.343
2023-01-18 23:14 JavaScript Iterate Vector int8Array 0.002 s 0.526
2023-01-18 23:14 JavaScript Iterate Vector numbers 0.002 s 0.720
2023-01-18 23:14 JavaScript Iterate Vector dictionary 0.004 s -1.038
2023-01-18 23:14 JavaScript Spread Vector uint32Array 0.007 s -0.703
2023-01-18 23:14 JavaScript Spread Vector int32Array 0.007 s -0.484
2023-01-18 23:14 JavaScript toArray Vector uint8Array
2023-01-18 23:14 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.281
2023-01-18 23:14 JavaScript Table 1,000,000, tracks 0.254 s 1.019
2023-01-18 23:14 JavaScript Iterate Vector uint64Array 0.005 s -3.788
2023-01-18 23:14 JavaScript Spread Vector uint64Array 0.012 s -2.049
2023-01-18 23:14 JavaScript Spread Vector int16Array 0.007 s -0.499
2023-01-18 23:14 JavaScript toArray Vector uint64Array
2023-01-18 23:14 JavaScript toArray Vector int16Array
2023-01-18 23:14 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.983
2023-01-18 23:14 JavaScript Iterate Vector int64Array 0.004 s -1.639
2023-01-18 23:14 JavaScript Iterate Vector float64Array 0.002 s 0.919
2023-01-18 23:14 JavaScript Spread Vector float64Array 0.008 s -1.323
2023-01-18 23:14 JavaScript Spread Vector booleans 0.010 s 0.550
2023-01-18 23:14 JavaScript toArray Vector uint16Array
2023-01-18 23:14 JavaScript Spread Vector uint8Array 0.007 s -1.030
2023-01-18 23:14 JavaScript Spread Vector int8Array 0.007 s -0.823
2023-01-18 23:14 JavaScript Spread Vector dictionary 0.010 s 0.069
2023-01-18 23:14 JavaScript toArray Vector uint32Array
2023-01-18 23:14 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.726
2023-01-18 23:14 JavaScript Spread Vector int64Array 0.012 s -2.024
2023-01-18 23:14 JavaScript get Vector int16Array 0.003 s 0.471
2023-01-18 23:14 JavaScript get Vector int64Array 0.003 s 0.884
2023-01-18 23:14 JavaScript get Vector float64Array 0.002 s -2.749
2023-01-18 23:14 JavaScript Parse write recordBatches, tracks 0.002 s -0.266
2023-01-18 23:14 JavaScript Spread Vector numbers 0.008 s -1.839
2023-01-18 23:14 JavaScript get Vector uint8Array 0.003 s 0.611
2023-01-18 23:14 JavaScript get Vector uint32Array 0.003 s 0.383
2023-01-18 23:14 JavaScript get Vector numbers 0.002 s -0.086
2023-01-18 23:14 JavaScript get Vector dictionary 0.002 s -0.074
2023-01-18 23:14 JavaScript toArray Vector float32Array
2023-01-18 23:14 JavaScript toArray Vector numbers
2023-01-18 23:14 JavaScript toArray Vector dictionary 0.010 s -0.121
2023-01-18 23:14 JavaScript get Vector int8Array 0.003 s 0.379
2023-01-18 23:14 JavaScript get Vector int32Array 0.003 s 0.425
2023-01-18 23:14 JavaScript get Vector float32Array 0.002 s 0.023
2023-01-18 23:14 JavaScript toArray Vector float64Array
2023-01-18 23:14 JavaScript toArray Vector booleans 0.010 s 0.276
2023-01-18 23:14 JavaScript toArray Vector string 0.144 s 0.677
2023-01-18 23:14 JavaScript get Vector uint16Array 0.003 s 0.739
2023-01-18 23:14 JavaScript get Vector uint64Array 0.003 s -0.027
2023-01-18 23:14 JavaScript get Vector booleans 0.002 s 0.183
2023-01-18 23:14 JavaScript Parse read recordBatches, tracks 0.000 s 1.207
2023-01-18 23:14 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 1.720
2023-01-18 23:14 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.507
2023-01-18 23:14 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.972
2023-01-18 23:14 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.496
2023-01-18 23:14 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-18 23:14 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 23:14 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s 0.288
2023-01-18 23:14 JavaScript Table tracks, 1,000,000 0.095 s 0.015
2023-01-18 23:14 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.679
2023-01-18 23:14 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.996
2023-01-18 23:14 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.238
2023-01-18 23:14 JavaScript Table tracks, 1,000,000 0.050 s -0.560
2023-01-18 23:14 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.678
2023-01-18 23:14 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.918
2023-01-18 23:14 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.601
2023-01-18 23:14 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.019
2023-01-18 23:14 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.106
2023-01-18 23:14 JavaScript Table tracks, 1,000,000 0.257 s 0.784
2023-01-18 23:14 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-18 23:14 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 23:14 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.508
2023-01-18 23:14 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.355