Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-10 05:33 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.131 s -0.192
2022-11-10 05:42 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 108.832 s -3.108
2022-11-10 05:32 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.535 s -0.230
2022-11-10 05:36 Python dataframe-to-table type_strings 0.451 s -0.442
2022-11-10 05:31 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.686 s -0.253
2022-11-10 05:34 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 12.223 s -0.508
2022-11-10 05:36 Python dataframe-to-table type_floats 0.010 s 0.519
2022-11-10 05:36 Python dataframe-to-table chi_traffic_2020_Q1 20.170 s 0.739
2022-11-10 05:37 Python dataframe-to-table type_nested 2.806 s 1.109
2022-11-10 05:34 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 12.160 s -0.503
2022-11-10 06:00 Python dataset-read async=True, nyctaxi_multi_ipc_s3 264.380 s -4.074
2022-11-10 06:09 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.524 s 1.773
2022-11-10 06:10 Python file-write lz4, feather, table, nyctaxi_2010-01 1.751 s -0.431
2022-11-10 05:32 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.711 s -0.703
2022-11-10 05:33 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.427 s -0.321
2022-11-10 06:01 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.667 s -2.365
2022-11-10 05:36 Python dataframe-to-table type_dict 0.012 s -0.430
2022-11-10 05:36 Python dataframe-to-table type_integers 0.010 s 1.190
2022-11-10 06:02 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.333 s -0.570
2022-11-10 05:31 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.232 s 1.283
2022-11-10 06:07 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.057 s -0.346
2022-11-10 06:09 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.050 s 2.113
2022-11-10 06:10 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.741 s 1.946
2022-11-10 06:03 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.951 s 0.313
2022-11-10 06:08 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.404 s 1.642
2022-11-10 06:09 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 8.968 s 2.295
2022-11-10 06:10 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.395 s 0.681
2022-11-10 06:02 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.395 s -0.989
2022-11-10 06:01 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.641 s -2.303
2022-11-10 05:37 Python dataset-filter nyctaxi_2010-01 1.006 s -0.152
2022-11-10 06:00 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.474 s -1.074
2022-11-10 06:00 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.223 s -0.063
2022-11-10 06:00 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.294 s 0.026
2022-11-10 06:07 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.418 s 1.600
2022-11-10 06:01 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.169 s -1.258
2022-11-10 06:03 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.934 s 0.332
2022-11-10 06:06 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.539 s 1.919
2022-11-10 06:03 Python file-read lz4, feather, table, nyctaxi_2010-01 0.689 s -0.246
2022-11-10 06:04 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.056 s 0.853
2022-11-10 06:01 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.197 s -0.403
2022-11-10 06:03 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.357 s -0.105
2022-11-10 05:47 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 92.310 s -3.521
2022-11-10 06:01 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.045 s 0.177
2022-11-10 06:01 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.679 s -0.072
2022-11-10 06:03 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.609 s -0.660
2022-11-10 06:01 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.044 s 0.198
2022-11-10 06:02 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.800 s -0.798
2022-11-10 06:05 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.269 s 1.789
2022-11-10 06:08 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.590 s 1.959
2022-11-10 06:01 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.129 s -0.105
2022-11-10 06:01 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.511 s -0.981
2022-11-10 06:02 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.975 s -1.164
2022-11-10 06:10 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.974 s 0.152
2022-11-10 06:00 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.182 s 0.082
2022-11-10 06:02 Python file-read lz4, feather, table, fanniemae_2016Q4 0.827 s -0.373
2022-11-10 06:05 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.361 s 0.999
2022-11-10 06:02 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.521 s -1.010
2022-11-10 06:03 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.917 s -0.163
2022-11-10 06:07 Python file-write lz4, feather, table, fanniemae_2016Q4 1.553 s 0.460
2022-11-10 06:03 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.929 s -0.886
2022-11-10 06:10 Python wide-dataframe use_legacy_dataset=false 0.510 s 0.664
2022-11-10 06:10 Python wide-dataframe use_legacy_dataset=true 0.429 s -4.498
2022-11-10 06:20 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.331 s -1.162
2022-11-10 06:21 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.852 s -0.433
2022-11-10 06:22 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.582 s -0.235
2022-11-10 06:36 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s -0.393
2022-11-10 06:41 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.308
2022-11-10 06:19 R dataframe-to-table type_strings, R 0.537 s 0.536
2022-11-10 06:20 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.309 s 2.207
2022-11-10 06:22 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.911 s -1.196
2022-11-10 06:32 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.989 s 1.000
2022-11-10 06:21 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.903 s -0.948
2022-11-10 06:18 R dataframe-to-table chi_traffic_2020_Q1, R 4.299 s 0.038
2022-11-10 06:21 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.550 s -0.792
2022-11-10 06:19 R dataframe-to-table type_dict, R 0.056 s 0.150
2022-11-10 06:19 R dataframe-to-table type_integers, R 0.010 s 0.974
2022-11-10 06:20 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.565 s 1.218
2022-11-10 06:39 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.209 s -0.785
2022-11-10 06:42 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.366
2022-11-10 06:45 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.903 s 0.268
2022-11-10 06:21 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.902 s -1.115
2022-11-10 06:23 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.483 s 1.024
2022-11-10 06:26 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.909 s 0.980
2022-11-10 06:34 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.714 s 0.996
2022-11-10 06:19 R dataframe-to-table type_nested, R 0.571 s 0.813
2022-11-10 06:25 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.078 s 1.105
2022-11-10 06:40 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.577 s 0.481
2022-11-10 06:44 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.519 s -0.609
2022-11-10 06:20 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.326 s -1.030
2022-11-10 06:27 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.544 s 1.011
2022-11-10 06:39 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.551 s -0.050
2022-11-10 06:43 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.585 s -0.581
2022-11-10 06:21 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.554 s -0.860
2022-11-10 06:42 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.056 s -0.952
2022-11-10 06:44 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.229 s 0.248
2022-11-10 06:36 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.889 s 0.809
2022-11-10 06:20 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.585 s -1.128
2022-11-10 06:45 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.264 s 0.618
2022-11-10 06:46 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s -0.520
2022-11-10 06:50 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.605 s -0.546
2022-11-10 06:19 R dataframe-to-table type_floats, R 0.013 s 1.293
2022-11-10 06:42 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.345 s -0.334
2022-11-10 06:52 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.750 s -0.707
2022-11-10 06:55 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 0.652
2022-11-10 06:56 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.206 s 0.358
2022-11-10 06:22 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.213 s 2.302
2022-11-10 06:30 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.900 s 0.843
2022-11-10 06:31 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.387 s 0.186
2022-11-10 06:40 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.279 s -0.483
2022-11-10 06:42 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.433 s -0.787
2022-11-10 06:45 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.238 s 0.403
2022-11-10 06:22 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.821 s -0.064
2022-11-10 06:46 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.184 s -0.760
2022-11-10 06:46 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.307 s 0.366
2022-11-10 06:48 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s -0.041
2022-11-10 06:49 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.516
2022-11-10 06:21 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.602 s -1.061
2022-11-10 06:33 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.935 s 0.870
2022-11-10 06:54 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.151 s -0.809
2022-11-10 06:57 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.406 s -8.156
2022-11-10 07:00 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.583 s 0.736
2022-11-10 07:02 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.375
2022-11-10 07:04 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.215 s 0.517
2022-11-10 06:28 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.951 s 0.471
2022-11-10 06:41 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s 0.010
2022-11-10 06:43 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s 0.109
2022-11-10 06:44 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.924 s -0.751
2022-11-10 06:47 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.642 s 0.371
2022-11-10 06:48 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.303
2022-11-10 06:20 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -1.059
2022-11-10 06:49 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.312
2022-11-10 07:00 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.821 s 0.193
2022-11-10 07:05 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.199
2022-11-10 06:39 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.552 s 0.508
2022-11-10 06:40 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.236 s -0.191
2022-11-10 06:43 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s -0.058
2022-11-10 06:46 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.255 s 0.819
2022-11-10 06:47 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.185
2022-11-10 06:48 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s 0.141
2022-11-10 06:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.409 s 0.280
2022-11-10 06:37 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.308 s -0.488
2022-11-10 06:41 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.703 s -0.212
2022-11-10 06:44 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 0.851
2022-11-10 06:51 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.323 s 0.636
2022-11-10 06:53 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.289 s 0.890
2022-11-10 06:53 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.365 s 0.199
2022-11-10 06:59 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.177 s 0.716
2022-11-10 07:03 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.584 s -0.930
2022-11-10 06:30 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 0.487
2022-11-10 06:43 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 0.629
2022-11-10 06:43 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.227 s 0.499
2022-11-10 06:50 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.653 s -0.381
2022-11-10 06:57 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.854 s 1.682
2022-11-10 07:05 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s -0.221
2022-11-10 06:39 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.248 s -0.485
2022-11-10 07:04 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.601 s -0.416
2022-11-10 06:38 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.465 s 0.525
2022-11-10 06:40 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s -0.488
2022-11-10 06:41 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.331 s -0.391
2022-11-10 06:44 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.578
2022-11-10 06:56 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.298 s 0.338
2022-11-10 06:56 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.525 s 0.105
2022-11-10 06:57 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.249 s -0.418
2022-11-10 06:58 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.517 s -0.039
2022-11-10 06:40 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s -0.695
2022-11-10 06:46 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.312 s 0.733
2022-11-10 06:40 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.466
2022-11-10 06:40 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.584 s -0.079
2022-11-10 06:42 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.330 s 0.489
2022-11-10 06:46 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.259 s 0.908
2022-11-10 06:48 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s -0.379
2022-11-10 06:49 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.174
2022-11-10 06:52 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.604 s 0.638
2022-11-10 06:42 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.652 s 0.418
2022-11-10 06:43 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.217
2022-11-10 06:46 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s -0.128
2022-11-10 06:51 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s 0.025
2022-11-10 06:54 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.295 s -0.072
2022-11-10 06:56 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.321 s 1.547
2022-11-10 07:01 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.323 s -0.327
2022-11-10 07:03 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 0.564
2022-11-10 07:04 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.313
2022-11-10 07:05 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.526 s 0.021
2022-11-10 06:45 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.321 s 1.369
2022-11-10 06:47 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.628 s 0.614
2022-11-10 06:48 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s -0.703
2022-11-10 06:49 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.332 s -0.134
2022-11-10 06:51 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.359 s 0.741
2022-11-10 06:53 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.433 s 0.923
2022-11-10 06:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.250 s 0.631
2022-11-10 06:56 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.224 s 0.962
2022-11-10 06:51 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.329 s 0.659
2022-11-10 07:04 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.561 s -0.198
2022-11-10 07:05 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 1.702
2022-11-10 07:06 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.658 s 0.593
2022-11-10 07:07 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s -0.029
2022-11-10 07:09 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.263 s -0.817
2022-11-10 06:49 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.284 s -0.644
2022-11-10 06:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 0.533
2022-11-10 06:56 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.256 s 0.090
2022-11-10 06:57 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.293 s 0.312
2022-11-10 06:58 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.466 s 0.070
2022-11-10 06:59 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.323 s 0.682
2022-11-10 07:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.229 s 0.498
2022-11-10 07:02 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.819 s -1.758
2022-11-10 07:09 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.317 s -0.876
2022-11-10 06:48 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s -0.495
2022-11-10 06:51 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.707 s -0.117
2022-11-10 06:55 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.901 s -0.009
2022-11-10 06:57 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.356 s -0.519
2022-11-10 07:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.423 s 0.604
2022-11-10 07:01 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.926 s -1.058
2022-11-10 07:03 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.257
2022-11-10 07:07 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.216
2022-11-10 07:11 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.091 s -0.497
2022-11-10 06:49 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.367 s -0.192
2022-11-10 06:51 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.419 s 0.006
2022-11-10 06:54 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s -0.235
2022-11-10 07:12 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.541
2022-11-10 07:14 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.122 s 0.079
2022-11-10 07:19 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.257 s -0.355
2022-11-10 06:50 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.769 s 0.417
2022-11-10 06:52 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.265 s 0.776
2022-11-10 06:52 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 0.252
2022-11-10 06:53 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.766 s -0.134
2022-11-10 07:03 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.278 s 0.025
2022-11-10 07:07 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.651 s 0.223
2022-11-10 07:10 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.859 s -0.044
2022-11-10 07:19 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.180
2022-11-10 06:55 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.653 s -0.604
2022-11-10 06:59 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.243 s -1.757
2022-11-10 06:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s -0.049
2022-11-10 07:01 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.255 s -0.414
2022-11-10 07:06 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.001 s -2.103
2022-11-10 07:08 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.409 s -0.484
2022-11-10 07:09 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.261 s -0.695
2022-11-10 06:54 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.943 s 0.920
2022-11-10 07:12 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.370 s -0.622
2022-11-10 07:18 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s -0.084
2022-11-10 06:56 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.716 s -0.302
2022-11-10 06:58 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.855 s 0.396
2022-11-10 07:06 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.216
2022-11-10 07:04 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s -0.081
2022-11-10 07:05 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.069 s -0.593
2022-11-10 07:12 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.948 s -0.466
2022-11-10 07:13 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.891 s -0.555
2022-11-10 07:18 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s -0.272
2022-11-10 06:57 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.200 s 0.264
2022-11-10 07:00 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.296 s -0.478
2022-11-10 07:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.190
2022-11-10 07:06 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.214 s 0.251
2022-11-10 07:07 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s -0.500
2022-11-10 07:09 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.424 s -0.388
2022-11-10 07:14 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.874 s 0.868
2022-11-10 07:01 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.319 s 0.073
2022-11-10 07:02 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.436 s 1.879
2022-11-10 07:03 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.549
2022-11-10 07:04 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s -0.178
2022-11-10 07:05 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.873 s 2.488
2022-11-10 07:08 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.509 s -0.116
2022-11-10 07:10 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.309 s -1.205
2022-11-10 07:10 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.409 s 0.246
2022-11-10 07:06 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.317 s -0.218
2022-11-10 07:07 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.333
2022-11-10 07:08 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.542 s -0.577
2022-11-10 07:09 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.431 s -0.765
2022-11-10 07:13 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.707 s 0.774
2022-11-10 07:13 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.440 s -0.206
2022-11-10 07:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.923 s 0.059
2022-11-10 07:11 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.588
2022-11-10 07:13 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.778 s 0.252
2022-11-10 07:18 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.673 s 0.565
2022-11-10 07:19 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.243
2022-11-10 07:19 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.311 s -2.338
2022-11-10 07:11 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.659
2022-11-10 07:11 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.317 s -0.020
2022-11-10 07:13 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.379 s 0.236
2022-11-10 07:19 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.300 s -0.218
2022-11-10 07:12 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.453
2022-11-10 07:19 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.444 s 0.463
2022-11-10 07:28 JavaScript Iterate Vector int32Array 0.002 s 0.012
2022-11-10 07:28 JavaScript Iterate Vector float32Array 0.002 s 0.306
2022-11-10 07:28 JavaScript Iterate Vector dictionary 0.004 s 1.139
2022-11-10 07:28 JavaScript get Vector string 0.123 s 0.897
2022-11-10 07:28 JavaScript Iterate Vector uint8Array 0.002 s -0.172
2022-11-10 07:28 JavaScript Iterate Vector uint16Array 0.002 s -0.586
2022-11-10 07:28 JavaScript Iterate Vector booleans 0.004 s 0.649
2022-11-10 07:28 JavaScript vectorFromArray numbers 0.016 s 0.656
2022-11-10 07:28 JavaScript vectorFromArray booleans 0.017 s 1.136
2022-11-10 07:28 JavaScript toArray Vector int16Array
2022-11-10 07:28 JavaScript Iterate Vector uint32Array 0.002 s 0.076
2022-11-10 07:28 JavaScript Iterate Vector uint64Array 0.004 s 0.387
2022-11-10 07:28 JavaScript Iterate Vector int8Array 0.002 s -0.318
2022-11-10 07:28 JavaScript Iterate Vector int16Array 0.002 s -0.042
2022-11-10 07:28 JavaScript toArray Vector int8Array
2022-11-10 07:28 JavaScript get Vector uint32Array 0.003 s -0.304
2022-11-10 07:28 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-10 07:28 JavaScript Spread Vector numbers 0.008 s 0.181
2022-11-10 07:28 JavaScript toArray Vector int32Array
2022-11-10 07:28 JavaScript toArray Vector float32Array
2022-11-10 07:28 JavaScript Iterate Vector int64Array 0.004 s 0.406
2022-11-10 07:28 JavaScript Spread Vector uint16Array 0.007 s -0.340
2022-11-10 07:28 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.949
2022-11-10 07:28 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.446
2022-11-10 07:28 JavaScript Table 1,000,000, tracks 0.299 s -1.179
2022-11-10 07:28 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.010
2022-11-10 07:28 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.996
2022-11-10 07:28 JavaScript Spread Vector int8Array 0.006 s -0.037
2022-11-10 07:28 JavaScript Spread Vector float32Array 0.008 s 0.824
2022-11-10 07:28 JavaScript Spread Vector dictionary 0.010 s 0.677
2022-11-10 07:28 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.661
2022-11-10 07:28 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.870
2022-11-10 07:28 JavaScript Table tracks, 1,000,000 0.094 s 1.026
2022-11-10 07:28 JavaScript vectorFromArray dictionary 0.017 s 0.489
2022-11-10 07:28 JavaScript Iterate Vector string 0.126 s 0.136
2022-11-10 07:28 JavaScript Spread Vector int16Array 0.006 s 0.608
2022-11-10 07:28 JavaScript Spread Vector int64Array 0.012 s 1.440
2022-11-10 07:28 JavaScript toArray Vector uint16Array
2022-11-10 07:28 JavaScript Iterate Vector float64Array 0.002 s 0.482
2022-11-10 07:28 JavaScript Spread Vector string 0.145 s 0.205
2022-11-10 07:28 JavaScript toArray Vector uint64Array
2022-11-10 07:28 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.587
2022-11-10 07:28 JavaScript Iterate Vector numbers 0.002 s 0.382
2022-11-10 07:28 JavaScript Spread Vector uint8Array 0.006 s 0.727
2022-11-10 07:28 JavaScript Spread Vector uint32Array 0.007 s 0.539
2022-11-10 07:28 JavaScript toArray Vector uint8Array
2022-11-10 07:28 JavaScript toArray Vector uint32Array
2022-11-10 07:28 JavaScript Spread Vector uint64Array 0.012 s 1.373
2022-11-10 07:28 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.597
2022-11-10 07:28 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.024 s -3.501
2022-11-10 07:28 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.987
2022-11-10 07:28 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.289
2022-11-10 07:28 JavaScript Spread Vector int32Array 0.006 s 0.037
2022-11-10 07:28 JavaScript get Vector uint8Array 0.003 s -1.972
2022-11-10 07:28 JavaScript get Vector numbers 0.002 s 0.154
2022-11-10 07:28 JavaScript Spread Vector float64Array 0.008 s 0.467
2022-11-10 07:28 JavaScript Spread Vector booleans 0.010 s 0.276
2022-11-10 07:28 JavaScript toArray Vector float64Array
2022-11-10 07:28 JavaScript get Vector float64Array 0.002 s 0.129
2022-11-10 07:28 JavaScript get Vector booleans 0.002 s 0.232
2022-11-10 07:28 JavaScript toArray Vector int64Array
2022-11-10 07:28 JavaScript toArray Vector booleans 0.010 s 0.614
2022-11-10 07:28 JavaScript toArray Vector string 0.145 s 0.203
2022-11-10 07:28 JavaScript get Vector uint16Array 0.003 s -0.370
2022-11-10 07:28 JavaScript get Vector uint64Array 0.003 s 0.304
2022-11-10 07:28 JavaScript get Vector int16Array 0.003 s -0.860
2022-11-10 07:28 JavaScript toArray Vector numbers
2022-11-10 07:28 JavaScript toArray Vector dictionary 0.010 s 0.618
2022-11-10 07:28 JavaScript Parse read recordBatches, tracks 0.000 s 0.209
2022-11-10 07:28 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.588
2022-11-10 07:28 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.024 s -3.462
2022-11-10 07:28 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 1.002
2022-11-10 07:28 JavaScript get Vector int8Array 0.003 s -2.039
2022-11-10 07:28 JavaScript get Vector int32Array 0.003 s -0.631
2022-11-10 07:28 JavaScript get Vector float32Array 0.002 s 0.071
2022-11-10 07:28 JavaScript get Vector dictionary 0.002 s -0.986
2022-11-10 07:28 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.031 s -5.681
2022-11-10 07:28 JavaScript get Vector int64Array 0.003 s -0.037
2022-11-10 07:28 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-10 07:28 JavaScript Parse write recordBatches, tracks 0.002 s -1.589
2022-11-10 07:28 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-10 07:28 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.186 s 1.101
2022-11-10 07:28 JavaScript Table tracks, 1,000,000 0.315 s -1.862
2022-11-10 07:28 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.080
2022-11-10 07:28 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 1.565
2022-11-10 07:28 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.917
2022-11-10 07:28 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-10 07:28 JavaScript Table tracks, 1,000,000 0.050 s 0.129