Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-15 01:18 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.159 s -0.021
2022-11-15 01:18 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.172 s -1.794
2022-11-15 01:19 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.384 s -0.619
2022-11-15 01:22 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.721 s -0.041
2022-11-15 01:36 R dataframe-to-table type_integers, R 0.010 s 0.600
2022-11-15 00:55 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.563 s 1.930
2022-11-15 00:52 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.259 s -0.645
2022-11-15 00:57 Python dataframe-to-table chi_traffic_2020_Q1 20.200 s 0.330
2022-11-15 00:57 Python dataset-filter nyctaxi_2010-01 1.008 s -0.128
2022-11-15 00:54 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.127 s 0.273
2022-11-15 01:02 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 87.171 s -0.397
2022-11-15 00:57 Python dataframe-to-table type_strings 0.451 s -0.537
2022-11-15 00:54 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.654 s 1.856
2022-11-15 01:18 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.057 s 0.108
2022-11-15 01:19 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.973 s -0.746
2022-11-15 01:20 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.948 s -2.021
2022-11-15 01:22 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.375 s 0.604
2022-11-15 00:57 Python dataframe-to-table type_nested 2.885 s -1.309
2022-11-15 01:18 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.514 s -0.721
2022-11-15 00:52 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.674 s 0.946
2022-11-15 00:53 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.861 s 2.113
2022-11-15 00:53 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.887 s 1.961
2022-11-15 01:18 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.513 s -0.429
2022-11-15 01:19 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.786 s -0.335
2022-11-15 00:57 Python dataframe-to-table type_dict 0.011 s 0.409
2022-11-15 00:57 Python dataframe-to-table type_floats 0.011 s -0.326
2022-11-15 01:17 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.219 s 0.044
2022-11-15 01:17 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.282 s 0.250
2022-11-15 01:06 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.760 s 0.284
2022-11-15 01:19 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.996 s -2.052
2022-11-15 01:20 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.928 s -0.689
2022-11-15 01:20 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.614 s -0.661
2022-11-15 01:20 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.370 s -0.247
2022-11-15 01:24 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.839 s -0.206
2022-11-15 01:17 Python dataset-read async=True, nyctaxi_multi_ipc_s3 222.093 s 0.240
2022-11-15 00:54 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.428 s -0.534
2022-11-15 01:19 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.333 s -0.598
2022-11-15 01:20 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.924 s -0.436
2022-11-15 01:20 Python file-read lz4, feather, table, nyctaxi_2010-01 0.708 s -4.127
2022-11-15 00:57 Python dataframe-to-table type_integers 0.011 s -2.859
2022-11-15 01:18 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.674 s 0.003
2022-11-15 01:23 Python file-write uncompressed, feather, table, fanniemae_2016Q4 4.936 s 0.626
2022-11-15 01:18 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.192 s 0.312
2022-11-15 01:18 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.053 s 0.112
2022-11-15 01:25 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.582 s 1.501
2022-11-15 01:36 R dataframe-to-table type_nested, R 0.570 s 1.163
2022-11-15 01:17 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.440 s -0.894
2022-11-15 01:17 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.206 s -0.181
2022-11-15 01:18 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.660 s -1.388
2022-11-15 01:18 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.636 s -1.144
2022-11-15 01:21 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.023 s 0.769
2022-11-15 01:23 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.019 s -0.010
2022-11-15 01:19 Python file-read lz4, feather, table, fanniemae_2016Q4 0.836 s -1.546
2022-11-15 01:24 Python file-write lz4, feather, table, fanniemae_2016Q4 1.534 s 2.211
2022-11-15 01:25 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.865 s -0.326
2022-11-15 01:27 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.823 s 0.318
2022-11-15 01:26 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.130 s 0.484
2022-11-15 01:27 Python file-write lz4, feather, table, nyctaxi_2010-01 1.749 s -0.464
2022-11-15 01:27 Python wide-dataframe use_legacy_dataset=false 0.505 s 0.976
2022-11-15 01:26 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.519 s 1.307
2022-11-15 01:26 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.048 s 0.521
2022-11-15 01:27 Python wide-dataframe use_legacy_dataset=true 0.370 s 0.674
2022-11-15 01:27 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.944 s 1.756
2022-11-15 01:27 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.492 s -0.806
2022-11-15 01:40 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.501 s 0.622
2022-11-15 01:36 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.332 s -1.121
2022-11-15 01:38 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s -0.222
2022-11-15 01:36 R dataframe-to-table type_strings, R 0.536 s 1.130
2022-11-15 01:39 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.815 s 1.699
2022-11-15 01:42 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.099 s 0.683
2022-11-15 01:37 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.573 s -1.083
2022-11-15 01:36 R dataframe-to-table type_dict, R 0.068 s -1.136
2022-11-15 01:37 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.589 s -1.305
2022-11-15 01:38 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.847 s 0.277
2022-11-15 01:38 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.892 s -0.238
2022-11-15 01:37 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.568 s 0.147
2022-11-15 01:35 R dataframe-to-table chi_traffic_2020_Q1, R 4.283 s 0.372
2022-11-15 01:38 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.897 s -0.375
2022-11-15 01:38 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.598 s -0.323
2022-11-15 01:38 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.556 s -0.894
2022-11-15 01:36 R dataframe-to-table type_floats, R 0.013 s 0.769
2022-11-15 01:37 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.315 s -0.795
2022-11-15 01:38 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.550 s -0.840
2022-11-15 01:37 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.320 s -0.990
2022-11-15 01:39 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.587 s -1.544
2022-11-15 01:39 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.899 s 1.139
2022-11-15 01:43 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.932 s 0.551
2022-11-15 01:44 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.548 s 0.697
2022-11-15 01:45 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.957 s -0.750
2022-11-15 01:47 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 1.140
2022-11-15 01:46 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.910 s 0.834
2022-11-15 01:48 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.386 s 0.498
2022-11-15 01:56 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.557 s -0.528
2022-11-15 01:59 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.342 s 0.143
2022-11-15 01:59 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.648 s 1.754
2022-11-15 01:56 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.578 s 0.385
2022-11-15 02:00 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.226 s 1.145
2022-11-15 02:03 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s 0.896
2022-11-15 01:57 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s -0.229
2022-11-15 01:58 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.728 s -0.660
2022-11-15 02:01 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.772
2022-11-15 02:02 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.264 s 0.416
2022-11-15 02:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s 0.885
2022-11-15 02:06 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.332 s -0.346
2022-11-15 02:06 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.368 s -0.591
2022-11-15 02:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.649 s -0.356
2022-11-15 01:49 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.984 s 1.614
2022-11-15 02:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.282 s 0.274
2022-11-15 02:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.361 s 0.955
2022-11-15 02:14 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.859 s 0.684
2022-11-15 01:57 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.234 s 1.119
2022-11-15 01:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 1.166
2022-11-15 02:00 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s -0.637
2022-11-15 01:50 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.947 s 0.790
2022-11-15 01:56 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.556 s -0.035
2022-11-15 01:57 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.272 s -0.777
2022-11-15 02:03 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s -0.743
2022-11-15 02:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.384 s 0.517
2022-11-15 02:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 0.671
2022-11-15 02:01 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.506 s -0.432
2022-11-15 02:02 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s 0.070
2022-11-15 02:04 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.199 s -0.177
2022-11-15 02:05 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s -0.438
2022-11-15 01:56 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.219 s -1.043
2022-11-15 02:10 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.366 s 0.055
2022-11-15 01:57 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.221
2022-11-15 02:01 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.226 s 2.172
2022-11-15 02:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.418 s 0.422
2022-11-15 02:11 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.292 s 1.376
2022-11-15 01:57 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s -0.438
2022-11-15 01:59 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.646
2022-11-15 01:59 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.048 s -0.418
2022-11-15 02:09 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.797 s -1.419
2022-11-15 02:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.256 s 0.355
2022-11-15 02:05 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.349 s -1.012
2022-11-15 02:09 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.604 s 1.279
2022-11-15 01:58 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.009 s -1.207
2022-11-15 01:59 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.332 s 0.198
2022-11-15 02:00 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.298 s 0.360
2022-11-15 01:55 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.469 s 0.124
2022-11-15 01:59 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.429 s -0.486
2022-11-15 02:02 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.908 s -0.627
2022-11-15 02:03 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.310 s 1.385
2022-11-15 02:10 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.946 s 0.807
2022-11-15 02:01 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.924 s -1.138
2022-11-15 02:01 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 1.128
2022-11-15 02:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.282 s -0.014
2022-11-15 02:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.801
2022-11-15 01:53 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.906 s 0.873
2022-11-15 01:54 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.321 s -1.259
2022-11-15 02:02 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.167 s 0.287
2022-11-15 02:03 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.307 s 0.582
2022-11-15 02:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.710 s -0.539
2022-11-15 02:11 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.333 s -0.931
2022-11-15 01:56 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.244 s 0.686
2022-11-15 02:00 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.263 s 1.566
2022-11-15 02:06 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.282 s -0.649
2022-11-15 01:53 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s -0.436
2022-11-15 01:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.329 s -0.163
2022-11-15 02:07 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.774 s -0.551
2022-11-15 02:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.247 s 1.060
2022-11-15 02:12 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.316 s 0.925
2022-11-15 01:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.274 s 0.649
2022-11-15 02:03 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s -0.080
2022-11-15 02:04 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.717 s -0.523
2022-11-15 02:05 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s -0.393
2022-11-15 02:07 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.654 s -0.513
2022-11-15 02:07 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.608 s -0.544
2022-11-15 01:51 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.716 s 1.495
2022-11-15 01:57 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.588 s -0.673
2022-11-15 02:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.340 s 0.189
2022-11-15 02:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.977
2022-11-15 02:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.268 s 0.577
2022-11-15 02:00 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.585 s -0.563
2022-11-15 02:02 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.236 s 1.294
2022-11-15 02:10 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.771 s -1.122
2022-11-15 02:11 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.166 s -1.220
2022-11-15 02:03 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s 0.768
2022-11-15 02:04 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.629 s 0.444
2022-11-15 02:05 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.156 s 0.469
2022-11-15 02:05 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.034
2022-11-15 02:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.292 s 0.621
2022-11-15 02:10 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.437 s 0.279
2022-11-15 02:04 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.388
2022-11-15 02:12 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.899 s -0.343
2022-11-15 02:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.714 s -0.237
2022-11-15 02:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.297 s 1.200
2022-11-15 02:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.204 s 1.457
2022-11-15 02:14 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.147 s -0.030
2022-11-15 02:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.201 s -0.155
2022-11-15 02:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 1.316
2022-11-15 02:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.325 s -0.126
2022-11-15 02:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.326 s 0.514
2022-11-15 02:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s -0.350
2022-11-15 02:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.247 s 0.125
2022-11-15 02:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.295 s -0.370
2022-11-15 02:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.357 s -0.777
2022-11-15 02:15 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.868 s -0.799
2022-11-15 02:15 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.468 s -0.368
2022-11-15 02:21 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.585 s -0.538
2022-11-15 02:15 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.521 s -0.623
2022-11-15 02:19 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.524 s -1.283
2022-11-15 02:20 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.602 s -0.600
2022-11-15 02:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.215 s 0.630
2022-11-15 02:16 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.200 s -0.607
2022-11-15 02:18 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.113
2022-11-15 02:17 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.342 s -0.816
2022-11-15 02:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.409 s 0.081
2022-11-15 02:18 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.253 s 0.383
2022-11-15 02:24 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.237 s 0.279
2022-11-15 02:25 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.502 s -0.025
2022-11-15 02:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.586 s -0.462
2022-11-15 02:18 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.424 s 0.478
2022-11-15 02:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 1.040
2022-11-15 02:17 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.822 s -0.032
2022-11-15 02:19 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.764 s -0.538
2022-11-15 02:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.244 s 0.783
2022-11-15 02:26 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.865 s -0.579
2022-11-15 02:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.284
2022-11-15 02:22 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.328
2022-11-15 02:23 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.459
2022-11-15 02:24 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.190 s 0.728
2022-11-15 02:25 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 1.006
2022-11-15 02:22 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.521 s 0.921
2022-11-15 02:17 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.298 s -1.094
2022-11-15 02:18 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.203 s 0.408
2022-11-15 02:20 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 1.047
2022-11-15 02:23 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.145
2022-11-15 02:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.222 s 0.349
2022-11-15 02:20 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.277 s 0.514
2022-11-15 02:20 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.581 s -0.679
2022-11-15 02:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.280 s 0.265
2022-11-15 02:23 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.316 s -0.361
2022-11-15 02:23 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.986 s -1.480
2022-11-15 02:25 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.539 s -0.463
2022-11-15 02:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.189 s 0.534
2022-11-15 02:18 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.324 s -0.724
2022-11-15 02:18 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.911 s 0.360
2022-11-15 02:24 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.563
2022-11-15 02:22 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.424
2022-11-15 02:22 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.263 s -0.376
2022-11-15 02:24 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.663 s 0.173
2022-11-15 02:20 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 1.195
2022-11-15 02:24 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.169
2022-11-15 02:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s -0.127
2022-11-15 02:22 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.049 s 0.159
2022-11-15 02:26 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.263 s -0.658
2022-11-15 02:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.321 s 1.034
2022-11-15 02:22 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.881 s 0.796
2022-11-15 02:26 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.315 s -0.498
2022-11-15 02:26 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.220 s 0.171
2022-11-15 02:26 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.432 s -0.626
2022-11-15 02:26 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.428 s -0.728
2022-11-15 02:27 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.305 s -0.709
2022-11-15 02:27 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.404 s 0.751
2022-11-15 02:28 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.380
2022-11-15 02:28 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.091 s -0.837
2022-11-15 02:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.367 s -0.042
2022-11-15 02:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.316 s 0.289
2022-11-15 02:28 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.259 s 0.363
2022-11-15 02:29 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.289 s 0.393
2022-11-15 02:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.891 s -0.422
2022-11-15 02:30 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.717 s -0.690
2022-11-15 02:45 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.156
2022-11-15 02:45 JavaScript Iterate Vector numbers 0.002 s 0.771
2022-11-15 02:45 JavaScript Iterate Vector dictionary 0.004 s 0.771
2022-11-15 02:45 JavaScript Spread Vector uint8Array 0.008 s -30.696
2022-11-15 02:30 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.439 s -0.407
2022-11-15 02:36 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.198 s 0.476
2022-11-15 02:45 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.895
2022-11-15 02:29 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.951 s -0.806
2022-11-15 02:45 JavaScript vectorFromArray numbers 0.016 s 0.366
2022-11-15 02:45 JavaScript Spread Vector booleans 0.010 s -0.199
2022-11-15 02:45 JavaScript toArray Vector uint64Array
2022-11-15 02:45 JavaScript get Vector string 0.126 s -0.841
2022-11-15 02:33 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.249 s -2.443
2022-11-15 02:35 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.236 s 1.393
2022-11-15 02:45 JavaScript vectorFromArray booleans 0.018 s -0.331
2022-11-15 02:35 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.153
2022-11-15 02:36 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.446 s -0.342
2022-11-15 02:29 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.434
2022-11-15 02:30 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.787 s -1.601
2022-11-15 02:30 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.384 s -0.774
2022-11-15 02:36 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.255 s 0.155
2022-11-15 02:45 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.364
2022-11-15 02:45 JavaScript Iterate Vector float32Array 0.002 s 0.837
2022-11-15 02:45 JavaScript Spread Vector int32Array 0.009 s -49.533
2022-11-15 02:45 JavaScript toArray Vector int8Array
2022-11-15 02:45 JavaScript get Vector int8Array 0.003 s 0.348
2022-11-15 02:31 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.920 s -1.545
2022-11-15 02:45 JavaScript Iterate Vector float64Array 0.002 s 0.844
2022-11-15 02:45 JavaScript Spread Vector uint64Array 0.012 s 0.075
2022-11-15 02:45 JavaScript toArray Vector uint16Array
2022-11-15 02:31 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.175 s -2.497
2022-11-15 02:36 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.308 s -1.762
2022-11-15 02:35 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.980 s -1.114
2022-11-15 02:36 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.313 s -0.538
2022-11-15 02:45 JavaScript Iterate Vector uint64Array 0.004 s 0.139
2022-11-15 02:45 JavaScript Iterate Vector int16Array 0.002 s 0.204
2022-11-15 02:45 JavaScript Spread Vector int64Array 0.012 s 1.005
2022-11-15 02:45 JavaScript toArray Vector string 0.146 s -0.090
2022-11-15 02:45 JavaScript get Vector uint16Array 0.003 s 0.028
2022-11-15 02:36 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.221 s 0.064
2022-11-15 02:45 JavaScript Iterate Vector uint16Array 0.002 s 0.246
2022-11-15 02:45 JavaScript Iterate Vector int64Array 0.004 s -0.087
2022-11-15 02:45 JavaScript Spread Vector float64Array 0.009 s -27.720
2022-11-15 02:45 JavaScript toArray Vector float64Array
2022-11-15 02:45 JavaScript vectorFromArray dictionary 0.018 s -2.197
2022-11-15 02:45 JavaScript Iterate Vector booleans 0.004 s 0.142
2022-11-15 02:45 JavaScript Iterate Vector string 0.126 s 0.127
2022-11-15 02:45 JavaScript Spread Vector uint16Array 0.008 s -28.953
2022-11-15 02:45 JavaScript Spread Vector int16Array 0.008 s -27.668
2022-11-15 02:45 JavaScript Spread Vector string 0.146 s -0.165
2022-11-15 02:45 JavaScript Iterate Vector uint8Array 0.002 s 0.166
2022-11-15 02:45 JavaScript Iterate Vector int8Array 0.002 s 0.182
2022-11-15 02:45 JavaScript Spread Vector dictionary 0.010 s -0.246
2022-11-15 02:45 JavaScript toArray Vector int32Array
2022-11-15 02:45 JavaScript toArray Vector float32Array
2022-11-15 02:45 JavaScript toArray Vector numbers
2022-11-15 02:45 JavaScript Iterate Vector uint32Array 0.002 s 0.575
2022-11-15 02:45 JavaScript Spread Vector uint32Array 0.009 s -49.543
2022-11-15 02:45 JavaScript Spread Vector int8Array 0.008 s -25.727
2022-11-15 02:45 JavaScript Spread Vector numbers 0.009 s -29.736
2022-11-15 02:45 JavaScript get Vector int32Array 0.003 s 0.457
2022-11-15 02:45 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.428
2022-11-15 02:45 JavaScript Iterate Vector int32Array 0.002 s 0.412
2022-11-15 02:45 JavaScript toArray Vector uint8Array
2022-11-15 02:45 JavaScript toArray Vector uint32Array
2022-11-15 02:45 JavaScript toArray Vector dictionary 0.010 s 0.348
2022-11-15 02:45 JavaScript get Vector uint8Array 0.003 s -0.364
2022-11-15 02:45 JavaScript get Vector uint32Array 0.003 s 0.743
2022-11-15 02:45 JavaScript Spread Vector float32Array 0.010 s -49.337
2022-11-15 02:45 JavaScript toArray Vector int16Array
2022-11-15 02:45 JavaScript toArray Vector int64Array
2022-11-15 02:45 JavaScript toArray Vector booleans 0.010 s -0.708
2022-11-15 02:45 JavaScript get Vector int64Array 0.003 s 0.452
2022-11-15 02:45 JavaScript get Vector float64Array 0.002 s 0.020
2022-11-15 02:45 JavaScript get Vector booleans 0.002 s 0.435
2022-11-15 02:45 JavaScript get Vector uint64Array 0.003 s 1.030
2022-11-15 02:45 JavaScript get Vector int16Array 0.003 s -0.229
2022-11-15 02:45 JavaScript get Vector float32Array 0.002 s 0.126
2022-11-15 02:45 JavaScript get Vector numbers 0.002 s 0.101
2022-11-15 02:45 JavaScript get Vector dictionary 0.002 s -0.639
2022-11-15 02:45 JavaScript Parse read recordBatches, tracks 0.000 s 0.200
2022-11-15 02:45 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.127
2022-11-15 02:45 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.705
2022-11-15 02:45 JavaScript Parse write recordBatches, tracks 0.002 s -0.751
2022-11-15 02:45 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.010
2022-11-15 02:45 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.725
2022-11-15 02:45 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 1.333
2022-11-15 02:45 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.856
2022-11-15 02:45 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.535
2022-11-15 02:45 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-15 02:45 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 1.335
2022-11-15 02:45 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.901
2022-11-15 02:45 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -1.245
2022-11-15 02:45 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-15 02:45 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-15 02:45 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.209 s -8.512
2022-11-15 02:45 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.163
2022-11-15 02:45 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-15 02:45 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.209 s -9.978
2022-11-15 02:45 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.466
2022-11-15 02:45 JavaScript Table tracks, 1,000,000 0.271 s 0.068
2022-11-15 02:45 JavaScript Table tracks, 1,000,000 0.096 s -0.819
2022-11-15 02:45 JavaScript Table tracks, 1,000,000 0.050 s 0.091
2022-11-15 02:45 JavaScript Table 1,000,000, tracks 0.270 s 0.097
2022-11-15 02:45 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -2.352