Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-18 01:19 Python dataframe-to-table type_nested 2.969 s -0.120
2023-01-18 01:13 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.790 s -0.529
2023-01-18 01:16 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.111 s 0.285
2023-01-18 01:16 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.437 s 0.120
2023-01-18 01:16 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.384 s 1.249
2023-01-18 01:14 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.248 s 0.173
2023-01-18 01:19 Python dataframe-to-table type_strings 0.427 s 0.013
2023-01-18 01:19 Python dataset-filter nyctaxi_2010-01 1.021 s -0.171
2023-01-18 01:15 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.121 s -1.205
2023-01-18 01:17 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.352 s 1.179
2023-01-18 01:19 Python dataframe-to-table type_integers 0.010 s 0.661
2023-01-18 01:14 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.214 s -1.405
2023-01-18 01:18 Python dataframe-to-table chi_traffic_2020_Q1 20.873 s 1.385
2023-01-18 01:19 Python dataframe-to-table type_dict 0.011 s 0.420
2023-01-18 01:19 Python dataframe-to-table type_floats 0.010 s 0.166
2023-01-18 01:23 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 83.674 s -0.251
2023-01-18 01:28 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 82.709 s 0.652
2023-01-18 01:39 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.241 s 0.625
2023-01-18 01:39 Python dataset-read async=True, nyctaxi_multi_ipc_s3 221.117 s 0.322
2023-01-18 01:39 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.027 s 0.281
2023-01-18 01:39 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.182 s 0.216
2023-01-18 01:39 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.241 s 0.053
2023-01-18 01:39 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.306 s 0.176
2023-01-18 01:39 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.031 s 0.275
2023-01-18 01:40 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.255
2023-01-18 01:39 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.655 s 0.289
2023-01-18 01:40 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -1.524
2023-01-18 01:40 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 1.291
2023-01-18 01:40 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.164 s 0.072
2023-01-18 01:40 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.184 s -1.646
2023-01-18 01:40 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.201 s 0.034
2023-01-18 01:40 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.944 s -1.645
2023-01-18 01:40 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.730 s 2.921
2023-01-18 01:40 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -1.313
2023-01-18 01:40 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.073
2023-01-18 01:41 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.257 s 2.895
2023-01-18 01:44 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.412 s -1.543
2023-01-18 01:45 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.149 s 0.951
2023-01-18 01:45 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.148 s 0.610
2023-01-18 01:52 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.382
2023-01-18 01:54 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.373 s 2.958
2023-01-18 01:53 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.834 s 2.944
2023-01-18 01:52 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.291 s -1.844
2023-01-18 01:53 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.076 s -1.618
2023-01-18 01:58 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.409 s 0.319
2023-01-18 01:53 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.176
2023-01-18 01:52 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.262 s 2.916
2023-01-18 01:53 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.604
2023-01-18 01:57 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.169 s -1.584
2023-01-18 01:57 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.408 s -0.371
2023-01-18 02:08 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.916 s 0.265
2023-01-18 01:52 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.022
2023-01-18 02:07 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.724 s -0.040
2023-01-18 02:06 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.094 s 2.947
2023-01-18 02:07 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.498 s -0.145
2023-01-18 02:08 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.975 s 0.117
2023-01-18 02:08 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.978 s 0.019
2023-01-18 02:08 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.924 s 0.164
2023-01-18 02:08 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.575 s 0.358
2023-01-18 02:06 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.628 s -0.009
2023-01-18 02:07 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.501 s -0.131
2023-01-18 02:07 Python file-read lz4, feather, table, fanniemae_2016Q4 0.804 s 0.532
2023-01-18 02:08 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.929 s 0.309
2023-01-18 02:06 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.634 s 0.164
2023-01-18 02:07 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.316 s 0.256
2023-01-18 02:07 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.297 s -2.184
2023-01-18 02:08 Python file-read lz4, feather, table, nyctaxi_2010-01 0.664 s 0.407
2023-01-18 02:08 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.313 s 0.554
2023-01-18 02:10 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.408 s -1.439
2023-01-18 02:09 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.802 s -1.383
2023-01-18 02:10 Python file-write snappy, parquet, table, fanniemae_2016Q4 11.026 s -1.367
2023-01-18 02:12 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.274 s -0.050
2023-01-18 02:12 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.530 s -1.248
2023-01-18 02:13 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.311 s -0.268
2023-01-18 02:13 Python file-write lz4, feather, table, fanniemae_2016Q4 1.849 s 0.013
2023-01-18 02:14 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.915 s -0.535
2023-01-18 02:13 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.974 s -0.690
2023-01-18 02:14 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.428 s -0.776
2023-01-18 02:15 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.793 s -0.530
2023-01-18 02:15 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.745 s -0.153
2023-01-18 02:16 Python file-write lz4, feather, table, nyctaxi_2010-01 1.778 s -0.024
2023-01-18 02:15 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.311 s -0.747
2023-01-18 02:16 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.370
2023-01-18 02:15 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.116 s -0.048
2023-01-18 02:16 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.209 s -0.140
2023-01-18 02:16 Python wide-dataframe use_legacy_dataset=false 0.518 s -0.073
2023-01-18 02:24 R dataframe-to-table chi_traffic_2020_Q1, R 4.380 s -0.867
2023-01-18 02:25 R dataframe-to-table type_strings, R 0.535 s -0.207
2023-01-18 02:25 R dataframe-to-table type_floats, R 0.013 s 0.406
2023-01-18 02:25 R dataframe-to-table type_integers, R 0.010 s 0.467
2023-01-18 02:25 R dataframe-to-table type_dict, R 0.063 s -0.953
2023-01-18 02:25 R dataframe-to-table type_nested, R 0.573 s 0.226
2023-01-18 02:25 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.323 s -0.673
2023-01-18 02:26 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.225
2023-01-18 02:26 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.585 s -0.819
2023-01-18 02:26 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.576 s -0.532
2023-01-18 02:26 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.325 s -0.584
2023-01-18 02:26 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.591 s 0.264
2023-01-18 02:27 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.919 s -0.377
2023-01-18 02:26 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.571 s 0.189
2023-01-18 02:27 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 1.231 s -2.038
2023-01-18 02:27 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.918 s -0.376
2023-01-18 02:27 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.564 s -0.177
2023-01-18 02:28 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.821 s 0.216
2023-01-18 02:28 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.901 s 0.190
2023-01-18 02:27 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.567 s -0.280
2023-01-18 02:28 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.576 s 0.226
2023-01-18 02:28 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.213 s 0.268
2023-01-18 02:38 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.470 s 0.451
2023-01-18 02:29 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.978 s -1.308
2023-01-18 02:31 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.936 s -1.334
2023-01-18 02:32 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.380 s -1.259
2023-01-18 02:39 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.996 s -0.587
2023-01-18 02:34 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.369 s -1.207
2023-01-18 02:34 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.964 s -0.688
2023-01-18 02:36 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.365
2023-01-18 02:44 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.178 s -0.476
2023-01-18 02:45 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.472 s -0.356
2023-01-18 02:46 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.605 s -0.329
2023-01-18 02:47 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.273 s 0.254
2023-01-18 02:41 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.727 s -0.567
2023-01-18 02:43 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.311 s -0.246
2023-01-18 02:40 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.812 s -0.523
2023-01-18 02:46 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.185
2023-01-18 02:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.334
2023-01-18 02:52 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.196
2023-01-18 02:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.290 s 0.326
2023-01-18 02:36 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.033 s 0.076
2023-01-18 02:53 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.167
2023-01-18 02:54 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.635 s 0.027
2023-01-18 02:55 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.352 s 0.224
2023-01-18 02:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.084
2023-01-18 02:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.241
2023-01-18 02:49 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.094
2023-01-18 02:53 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.352 s 0.136
2023-01-18 02:46 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.586 s -0.435
2023-01-18 02:49 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.345 s -0.716
2023-01-18 02:50 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.588 s 0.096
2023-01-18 02:51 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.559 s -0.153
2023-01-18 02:52 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.911 s 0.274
2023-01-18 02:53 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.186
2023-01-18 02:53 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.323 s -0.001
2023-01-18 02:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.231
2023-01-18 02:57 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.659 s 0.242
2023-01-18 02:42 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.762 s -0.461
2023-01-18 02:47 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.260
2023-01-18 02:47 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.593 s -0.376
2023-01-18 02:48 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.279 s 0.363
2023-01-18 02:49 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.064 s -0.377
2023-01-18 02:50 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.273 s -1.867
2023-01-18 02:54 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.222
2023-01-18 02:46 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.557 s 0.367
2023-01-18 02:46 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.249 s 0.722
2023-01-18 02:46 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.244
2023-01-18 02:48 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 4.065 s -1.835
2023-01-18 02:49 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.203
2023-01-18 02:51 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.889 s 0.492
2023-01-18 02:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.197 s 0.377
2023-01-18 02:45 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.080 s -0.461
2023-01-18 02:47 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.280 s 0.222
2023-01-18 02:47 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 0.997 s 1.521
2023-01-18 02:51 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.277
2023-01-18 02:52 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s 0.272
2023-01-18 02:53 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.179
2023-01-18 02:58 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.338 s 0.250
2023-01-18 02:58 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.206
2023-01-18 02:49 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s 0.241
2023-01-18 02:49 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.666 s -0.632
2023-01-18 02:50 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.329 s -0.654
2023-01-18 02:56 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.263 s -0.000
2023-01-18 02:58 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.719 s 0.101
2023-01-18 03:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.217
2023-01-18 03:12 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.885 s 0.125
2023-01-18 03:12 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.217 s 0.244
2023-01-18 02:48 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.383 s -2.167
2023-01-18 02:54 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.201 s 0.213
2023-01-18 02:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.338 s 0.337
2023-01-18 02:57 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.307
2023-01-18 02:59 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.763 s -0.003
2023-01-18 03:00 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.771 s 0.095
2023-01-18 03:04 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.363 s 0.239
2023-01-18 03:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.332 s 0.121
2023-01-18 03:07 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.618 s -1.048
2023-01-18 03:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s 0.293
2023-01-18 03:13 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.274
2023-01-18 02:50 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.115
2023-01-18 02:51 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.296
2023-01-18 02:52 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.190 s 0.119
2023-01-18 02:53 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.636 s 0.232
2023-01-18 02:54 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.721 s -0.196
2023-01-18 02:55 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.232 s 0.282
2023-01-18 02:55 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.508 s 0.121
2023-01-18 03:02 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.870 s 0.641
2023-01-18 03:03 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.539 s -0.015
2023-01-18 03:04 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.249 s -0.296
2023-01-18 03:08 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.538 s -0.322
2023-01-18 03:09 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.999 s -0.274
2023-01-18 03:10 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.284 s 0.309
2023-01-18 02:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.298 s 0.019
2023-01-18 02:56 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.373 s 0.290
2023-01-18 02:56 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.352 s 0.198
2023-01-18 02:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.225
2023-01-18 03:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.210
2023-01-18 03:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.212 s -0.017
2023-01-18 03:04 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.255 s 0.210
2023-01-18 03:05 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.497 s -1.029
2023-01-18 02:55 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.217
2023-01-18 02:57 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.679 s -0.438
2023-01-18 02:58 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.394 s 0.274
2023-01-18 02:59 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.288
2023-01-18 03:03 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.151
2023-01-18 03:03 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.166
2023-01-18 03:03 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.331 s -0.115
2023-01-18 03:10 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.248
2023-01-18 03:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.276
2023-01-18 02:59 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.615 s 0.083
2023-01-18 03:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.335 s 0.209
2023-01-18 03:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.939 s 0.023
2023-01-18 03:10 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s 0.325
2023-01-18 03:10 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.587 s 0.183
2023-01-18 03:00 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.442 s -0.024
2023-01-18 03:01 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.163 s -0.301
2023-01-18 03:01 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.218
2023-01-18 03:02 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.230
2023-01-18 03:08 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.223
2023-01-18 03:09 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.525 s 0.469
2023-01-18 03:09 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.207 s 0.352
2023-01-18 03:11 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.291
2023-01-18 03:12 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.329 s -0.055
2023-01-18 02:57 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.779 s 0.403
2023-01-18 02:58 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.369 s 0.206
2023-01-18 03:03 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.260 s 0.210
2023-01-18 03:06 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.567 s -0.487
2023-01-18 03:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.427 s 0.104
2023-01-18 03:07 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.864 s -0.128
2023-01-18 03:08 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.443 s 0.051
2023-01-18 03:11 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.615 s 0.109
2023-01-18 02:59 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.281
2023-01-18 03:00 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.281
2023-01-18 03:02 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.658 s -0.185
2023-01-18 03:04 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.867 s 0.158
2023-01-18 03:05 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.923 s -0.406
2023-01-18 03:06 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.238 s 0.105
2023-01-18 03:08 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.216
2023-01-18 03:10 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.313
2023-01-18 03:01 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.972 s -0.844
2023-01-18 03:01 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.299
2023-01-18 03:03 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.751 s -0.140
2023-01-18 03:03 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.145
2023-01-18 03:04 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.171
2023-01-18 03:05 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.691 s -1.240
2023-01-18 03:06 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.238
2023-01-18 03:07 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.447 s -1.231
2023-01-18 03:08 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.266 s 0.284
2023-01-18 03:11 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.609 s -0.280
2023-01-18 03:11 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.290
2023-01-18 03:12 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.527 s 0.210
2023-01-18 03:12 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.067 s 0.277
2023-01-18 03:13 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.994 s -0.208
2023-01-18 03:14 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.292
2023-01-18 03:14 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.293
2023-01-18 03:13 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.249
2023-01-18 03:13 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.319 s 0.358
2023-01-18 03:13 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.227
2023-01-18 03:14 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.076 s -0.532
2023-01-18 03:15 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.240
2023-01-18 03:14 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.667 s 0.145
2023-01-18 03:15 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.534 s 0.279
2023-01-18 03:15 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.210 s 0.194
2023-01-18 03:15 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.248
2023-01-18 03:16 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.447 s 0.349
2023-01-18 03:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.440 s 0.024
2023-01-18 03:16 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.218 s 0.760
2023-01-18 03:16 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.325 s 0.270
2023-01-18 03:17 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.442 s 0.139
2023-01-18 03:16 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.125
2023-01-18 03:17 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.891 s -0.457
2023-01-18 03:17 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.342 s -0.478
2023-01-18 03:18 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.676 s -1.519
2023-01-18 03:18 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.577 s -1.904
2023-01-18 03:19 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.371 s 0.160
2023-01-18 03:19 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.147
2023-01-18 03:19 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.125
2023-01-18 03:18 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.135
2023-01-18 03:19 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.961 s 0.222
2023-01-18 03:19 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.023
2023-01-18 03:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.393 s 0.821
2023-01-18 03:20 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.604 s 0.117
2023-01-18 03:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s 0.020
2023-01-18 03:20 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.186 s -0.633
2023-01-18 03:21 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.792 s 0.218
2023-01-18 03:21 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.722 s 1.297
2023-01-18 03:21 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.886 s -0.221
2023-01-18 03:21 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.154 s -0.313
2023-01-18 03:24 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.960 s -0.377
2023-01-18 03:26 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.159 s -1.304
2023-01-18 03:26 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.214
2023-01-18 03:26 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.235
2023-01-18 03:26 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.202
2023-01-18 03:26 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.260
2023-01-18 03:26 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.454 s 0.045
2023-01-18 03:27 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.308 s 0.241
2023-01-18 03:26 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.229 s -0.062
2023-01-18 03:27 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.336 s -0.331
2023-01-18 03:36 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.382
2023-01-18 03:35 JavaScript Spread Vector float64Array 0.008 s 0.647
2023-01-18 03:35 JavaScript vectorFromArray dictionary 0.017 s -1.863
2023-01-18 03:35 JavaScript Iterate Vector numbers 0.002 s -1.320
2023-01-18 03:35 JavaScript Spread Vector booleans 0.010 s -0.991
2023-01-18 03:35 JavaScript Spread Vector string 0.145 s 0.218
2023-01-18 03:35 JavaScript Spread Vector uint16Array 0.006 s 0.241
2023-01-18 03:35 JavaScript Spread Vector uint64Array 0.012 s -1.045
2023-01-18 03:35 JavaScript toArray Vector uint8Array
2023-01-18 03:35 JavaScript vectorFromArray numbers 0.016 s 0.165
2023-01-18 03:35 JavaScript Spread Vector float32Array 0.008 s -0.334
2023-01-18 03:35 JavaScript vectorFromArray booleans 0.017 s 0.709
2023-01-18 03:35 JavaScript Iterate Vector booleans 0.004 s 0.574
2023-01-18 03:35 JavaScript Iterate Vector string 0.125 s 0.979
2023-01-18 03:36 JavaScript toArray Vector string 0.142 s 1.609
2023-01-18 03:36 JavaScript get Vector uint64Array 0.003 s -0.246
2023-01-18 03:35 JavaScript Spread Vector dictionary 0.010 s -0.022
2023-01-18 03:36 JavaScript get Vector uint8Array 0.003 s -0.102
2023-01-18 03:36 JavaScript get Vector dictionary 0.002 s 0.933
2023-01-18 03:36 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.730
2023-01-18 03:36 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-18 03:35 JavaScript Iterate Vector uint8Array 0.002 s -0.633
2023-01-18 03:35 JavaScript Iterate Vector uint32Array 0.002 s 0.015
2023-01-18 03:35 JavaScript Iterate Vector int8Array 0.002 s -0.714
2023-01-18 03:35 JavaScript Iterate Vector int32Array 0.002 s -0.753
2023-01-18 03:35 JavaScript Iterate Vector float32Array 0.002 s -0.186
2023-01-18 03:35 JavaScript Iterate Vector uint16Array 0.002 s 0.048
2023-01-18 03:35 JavaScript Iterate Vector uint64Array 0.004 s -1.970
2023-01-18 03:35 JavaScript Iterate Vector int16Array 0.002 s -0.137
2023-01-18 03:35 JavaScript Iterate Vector int64Array 0.004 s -2.012
2023-01-18 03:35 JavaScript Spread Vector uint8Array 0.006 s 0.255
2023-01-18 03:36 JavaScript Table tracks, 1,000,000 0.050 s -0.543
2023-01-18 03:35 JavaScript Iterate Vector float64Array 0.002 s -1.042
2023-01-18 03:35 JavaScript Spread Vector uint32Array 0.007 s 0.289
2023-01-18 03:35 JavaScript Spread Vector numbers 0.008 s 0.003
2023-01-18 03:35 JavaScript toArray Vector numbers
2023-01-18 03:36 JavaScript toArray Vector dictionary 0.010 s -0.099
2023-01-18 03:36 JavaScript get Vector numbers 0.002 s 2.249
2023-01-18 03:35 JavaScript Iterate Vector dictionary 0.004 s 0.818
2023-01-18 03:35 JavaScript Spread Vector int32Array 0.007 s 0.068
2023-01-18 03:35 JavaScript toArray Vector float32Array
2023-01-18 03:36 JavaScript Parse read recordBatches, tracks 0.000 s -4.022
2023-01-18 03:36 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.601
2023-01-18 03:36 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.195
2023-01-18 03:35 JavaScript Spread Vector int8Array 0.007 s -0.230
2023-01-18 03:35 JavaScript toArray Vector int32Array
2023-01-18 03:36 JavaScript get Vector uint32Array 0.003 s 0.171
2023-01-18 03:36 JavaScript get Vector int8Array 0.003 s -7.272
2023-01-18 03:36 JavaScript get Vector int32Array 0.003 s 0.263
2023-01-18 03:36 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.878
2023-01-18 03:35 JavaScript Spread Vector int16Array 0.006 s 0.346
2023-01-18 03:35 JavaScript Spread Vector int64Array 0.012 s -0.514
2023-01-18 03:36 JavaScript get Vector uint16Array 0.003 s 0.739
2023-01-18 03:36 JavaScript Table tracks, 1,000,000 0.095 s -0.327
2023-01-18 03:36 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.296
2023-01-18 03:35 JavaScript toArray Vector uint16Array
2023-01-18 03:35 JavaScript toArray Vector int16Array
2023-01-18 03:35 JavaScript toArray Vector int64Array
2023-01-18 03:36 JavaScript Parse write recordBatches, tracks 0.002 s -3.026
2023-01-18 03:36 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.526
2023-01-18 03:36 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.919
2023-01-18 03:36 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.592
2023-01-18 03:35 JavaScript toArray Vector uint32Array
2023-01-18 03:35 JavaScript toArray Vector int8Array
2023-01-18 03:36 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.625
2023-01-18 03:36 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.619
2023-01-18 03:35 JavaScript toArray Vector uint64Array
2023-01-18 03:36 JavaScript toArray Vector booleans 0.010 s -0.304
2023-01-18 03:36 JavaScript get Vector int16Array 0.003 s 0.552
2023-01-18 03:36 JavaScript get Vector int64Array 0.003 s 0.982
2023-01-18 03:36 JavaScript get Vector float64Array 0.002 s 3.070
2023-01-18 03:36 JavaScript get Vector string 0.124 s 0.364
2023-01-18 03:35 JavaScript toArray Vector float64Array
2023-01-18 03:36 JavaScript get Vector booleans 0.002 s -0.007
2023-01-18 03:36 JavaScript get Vector float32Array 0.002 s -1.313
2023-01-18 03:36 JavaScript Table 1,000,000, tracks 0.249 s 1.172
2023-01-18 03:36 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.896
2023-01-18 03:36 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.019
2023-01-18 03:36 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.005
2023-01-18 03:36 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.687
2023-01-18 03:36 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -0.901
2023-01-18 03:36 JavaScript Table tracks, 1,000,000 0.256 s 0.813
2023-01-18 03:36 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.040
2023-01-18 03:36 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -0.992
2023-01-18 03:36 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 03:36 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.016
2023-01-18 03:36 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-18 03:36 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s