Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-24 12:48 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.256 s -0.434
2022-11-24 12:47 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.681 s -0.066
2022-11-24 12:49 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.423 s 0.272
2022-11-24 13:14 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.135 s 0.103
2022-11-24 13:15 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.973 s -0.280
2022-11-24 13:18 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.722 s -0.585
2022-11-24 13:18 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.366 s 0.151
2022-11-24 12:53 Python dataset-filter nyctaxi_2010-01 1.011 s -0.003
2022-11-24 13:13 Python dataset-read async=True, nyctaxi_multi_ipc_s3 225.466 s 0.043
2022-11-24 13:14 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.673 s -0.569
2022-11-24 13:22 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.519 s 0.353
2022-11-24 12:53 Python dataframe-to-table type_dict 0.011 s 1.740
2022-11-24 12:53 Python dataframe-to-table type_floats 0.010 s 0.500
2022-11-24 12:53 Python dataframe-to-table type_nested 2.965 s -1.547
2022-11-24 13:13 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.109 s 0.931
2022-11-24 13:15 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.504 s 0.420
2022-11-24 13:17 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.034 s 0.254
2022-11-24 12:48 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.041 s 1.008
2022-11-24 13:15 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.221 s 1.113
2022-11-24 13:16 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.308 s 1.486
2022-11-24 13:19 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.034 s -0.095
2022-11-24 12:50 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.929 s 0.263
2022-11-24 13:14 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.512 s 0.075
2022-11-24 13:16 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.938 s -0.592
2022-11-24 12:53 Python dataframe-to-table type_integers 0.010 s 0.798
2022-11-24 13:14 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.045 s 0.299
2022-11-24 13:14 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.172 s -0.527
2022-11-24 13:14 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.637 s -0.071
2022-11-24 13:20 Python file-write lz4, feather, table, fanniemae_2016Q4 1.553 s 0.234
2022-11-24 13:21 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.854 s -0.526
2022-11-24 12:53 Python dataframe-to-table type_strings 0.449 s -0.336
2022-11-24 12:58 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 86.721 s -0.340
2022-11-24 12:49 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.090 s 0.669
2022-11-24 13:14 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.649 s 0.151
2022-11-24 13:19 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.983 s -0.427
2022-11-24 12:51 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.761 s 0.670
2022-11-24 13:13 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.228 s -0.249
2022-11-24 13:14 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.060 s -1.115
2022-11-24 12:53 Python dataframe-to-table chi_traffic_2020_Q1 20.773 s -1.815
2022-11-24 13:23 Python file-write lz4, feather, table, nyctaxi_2010-01 1.764 s -0.800
2022-11-24 12:50 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.121 s 0.786
2022-11-24 13:16 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.550 s 1.276
2022-11-24 13:02 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.805 s 0.348
2022-11-24 13:14 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.203 s -0.127
2022-11-24 13:15 Python file-read lz4, feather, table, fanniemae_2016Q4 0.820 s 0.874
2022-11-24 13:16 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.909 s 1.211
2022-11-24 13:23 Python wide-dataframe use_legacy_dataset=false 0.552 s -2.704
2022-11-24 13:13 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.310 s -0.687
2022-11-24 13:15 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.317 s 1.224
2022-11-24 13:16 Python file-read lz4, feather, table, nyctaxi_2010-01 0.684 s 0.568
2022-11-24 13:20 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.851 s -0.487
2022-11-24 13:21 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.578 s 0.791
2022-11-24 13:23 Python wide-dataframe use_legacy_dataset=true 0.378 s 0.061
2022-11-24 13:23 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.980 s -0.345
2022-11-24 13:15 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.983 s -0.891
2022-11-24 13:16 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.930 s 0.983
2022-11-24 13:13 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.164 s 1.262
2022-11-24 13:15 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.634 s 1.181
2022-11-24 13:23 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.412 s 0.149
2022-11-24 13:22 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.048 s -0.273
2022-11-24 13:23 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.052 s -3.538
2022-11-24 13:22 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.140 s -0.500
2022-11-24 13:35 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.576 s 0.078
2022-11-24 13:36 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.551 s 0.100
2022-11-24 13:36 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s 0.045
2022-11-24 13:34 R dataframe-to-table type_floats, R 0.013 s 0.719
2022-11-24 13:45 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 0.494
2022-11-24 14:02 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.157 s -0.306
2022-11-24 14:01 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s -0.207
2022-11-24 14:02 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.158 s -0.069
2022-11-24 14:06 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.332 s -1.526
2022-11-24 13:34 R dataframe-to-table type_integers, R 0.010 s 0.527
2022-11-24 13:47 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.987 s 0.583
2022-11-24 13:49 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.716 s 0.632
2022-11-24 13:59 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s -2.574
2022-11-24 13:39 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.148 s -0.273
2022-11-24 13:55 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.271 s 0.362
2022-11-24 13:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.720 s 0.036
2022-11-24 13:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.513 s 0.311
2022-11-24 14:04 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.282 s -0.564
2022-11-24 14:04 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.339 s 0.247
2022-11-24 14:11 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.324 s 0.595
2022-11-24 13:52 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.327 s -0.857
2022-11-24 13:54 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.224 s -0.443
2022-11-24 13:56 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.331 s -1.351
2022-11-24 13:57 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.265 s -0.316
2022-11-24 13:34 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.337 s -0.315
2022-11-24 13:44 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.947 s -0.178
2022-11-24 13:53 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.859
2022-11-24 13:35 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.330 s -0.258
2022-11-24 14:07 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.365 s 0.724
2022-11-24 14:10 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.723 s 0.501
2022-11-24 13:33 R dataframe-to-table type_strings, R 0.537 s 0.379
2022-11-24 13:38 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.501 s 0.135
2022-11-24 13:46 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.403 s -0.077
2022-11-24 13:37 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.901 s 0.151
2022-11-24 13:58 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.926 s -1.071
2022-11-24 14:02 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s 0.493
2022-11-24 14:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.121 s 0.465
2022-11-24 14:10 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.648 s 0.699
2022-11-24 14:13 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.522 s -0.229
2022-11-24 13:33 R dataframe-to-table chi_traffic_2020_Q1, R 4.341 s -1.011
2022-11-24 13:34 R dataframe-to-table type_nested, R 0.572 s 0.379
2022-11-24 13:36 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.820 s 0.104
2022-11-24 13:35 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.597 s 0.129
2022-11-24 13:36 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.891 s 0.501
2022-11-24 13:54 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.247 s -0.259
2022-11-24 14:05 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.618 s -0.031
2022-11-24 14:06 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s -0.456
2022-11-24 14:12 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.360 s -1.787
2022-11-24 13:35 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.850 s 0.132
2022-11-24 13:54 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.196 s -0.343
2022-11-24 13:55 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.197 s 0.041
2022-11-24 13:59 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.196 s -0.103
2022-11-24 14:02 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.629 s -0.358
2022-11-24 14:03 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s 1.064
2022-11-24 14:03 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.278 s 0.821
2022-11-24 14:04 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.367 s -0.085
2022-11-24 14:12 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.471 s -0.929
2022-11-24 13:35 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.311 s 0.142
2022-11-24 13:35 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.121
2022-11-24 13:37 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s 0.099
2022-11-24 13:54 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.589 s -1.347
2022-11-24 13:57 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.051 s 0.098
2022-11-24 14:00 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.914 s -1.286
2022-11-24 14:03 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s -0.299
2022-11-24 14:05 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.773 s -0.587
2022-11-24 14:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.607 s -0.722
2022-11-24 14:07 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.289 s 1.627
2022-11-24 14:08 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.433 s 1.263
2022-11-24 14:08 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.943 s 1.106
2022-11-24 14:09 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s -0.539
2022-11-24 14:10 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.901 s -0.847
2022-11-24 14:16 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.254 s 0.327
2022-11-24 13:34 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.597 s -0.770
2022-11-24 13:36 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.900 s 0.269
2022-11-24 13:55 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.113
2022-11-24 13:55 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.277 s 0.302
2022-11-24 13:55 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.587 s -0.190
2022-11-24 14:01 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.309 s -0.402
2022-11-24 14:03 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.349 s -0.824
2022-11-24 14:06 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 0.584
2022-11-24 14:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.211 s -7.635
2022-11-24 14:13 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.873 s -1.202
2022-11-24 13:33 R dataframe-to-table type_dict, R 0.070 s -1.288
2022-11-24 13:36 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.553 s 0.205
2022-11-24 13:43 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.964 s -1.330
2022-11-24 13:54 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.581 s 0.182
2022-11-24 13:56 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.347 s -2.586
2022-11-24 13:57 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.433 s -1.598
2022-11-24 13:40 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.920 s 0.122
2022-11-24 13:42 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.587 s -0.140
2022-11-24 14:02 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.737 s -0.569
2022-11-24 14:05 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.385 s 0.235
2022-11-24 14:07 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.719 s 0.863
2022-11-24 14:08 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.768 s -0.337
2022-11-24 14:11 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.258 s -0.977
2022-11-24 14:12 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.299 s -1.742
2022-11-24 14:16 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.322 s 0.865
2022-11-24 13:51 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.308 s -0.101
2022-11-24 13:59 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.229 s -0.540
2022-11-24 14:00 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.328 s -1.415
2022-11-24 14:04 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.283 s -0.665
2022-11-24 14:07 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.266 s 0.122
2022-11-24 14:09 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.248 s -1.778
2022-11-24 14:11 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.863 s -0.365
2022-11-24 14:12 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.253 s -1.962
2022-11-24 13:48 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.949 s 0.244
2022-11-24 13:50 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.917 s -0.125
2022-11-24 13:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.010 s -1.076
2022-11-24 14:01 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.530
2022-11-24 13:54 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.552 s -0.031
2022-11-24 13:56 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.276 s -1.824
2022-11-24 13:56 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.286 s -1.353
2022-11-24 14:09 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.294 s -0.650
2022-11-24 14:11 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.526 s 0.312
2022-11-24 13:57 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.332 s -0.519
2022-11-24 13:57 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.223 s -0.976
2022-11-24 13:59 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.194 s -0.596
2022-11-24 14:09 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s -0.275
2022-11-24 13:57 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.651 s 0.436
2022-11-24 13:58 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s -1.251
2022-11-24 13:59 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.265 s -0.147
2022-11-24 14:01 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.632 s 1.446
2022-11-24 14:02 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.733
2022-11-24 14:04 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.332 s 0.220
2022-11-24 14:06 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.707 s 0.986
2022-11-24 14:07 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.317 s 0.869
2022-11-24 14:11 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.629
2022-11-24 13:58 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.228 s -0.966
2022-11-24 14:00 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.168 s 0.613
2022-11-24 14:01 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.311 s 0.392
2022-11-24 14:04 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.659 s -1.431
2022-11-24 14:12 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.206 s -1.995
2022-11-24 13:58 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s -0.383
2022-11-24 13:58 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.585 s -0.433
2022-11-24 14:00 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.257 s -0.954
2022-11-24 14:05 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.326 s -1.169
2022-11-24 14:09 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.317 s -1.285
2022-11-24 14:12 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.176 s -0.791
2022-11-24 14:11 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.227 s -1.283
2022-11-24 14:14 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s -0.148
2022-11-24 14:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.212 s -0.509
2022-11-24 14:14 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.583 s 0.570
2022-11-24 14:16 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.427 s -0.873
2022-11-24 14:14 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.288
2022-11-24 14:14 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.325 s -0.474
2022-11-24 14:14 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.828 s -1.937
2022-11-24 14:14 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.411 s -0.534
2022-11-24 14:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.041
2022-11-24 14:15 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.301 s -1.200
2022-11-24 14:16 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s -0.314
2022-11-24 14:15 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.342 s -0.769
2022-11-24 14:16 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.922 s -0.065
2022-11-24 14:18 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.278 s 0.499
2022-11-24 14:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.474 s 0.513
2022-11-24 14:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.320 s 0.688
2022-11-24 14:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.736 s 0.856
2022-11-24 14:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.202 s -0.858
2022-11-24 14:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.204 s -0.238
2022-11-24 14:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.246 s -0.356
2022-11-24 14:18 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.582 s -0.739
2022-11-24 14:18 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.609 s -1.149
2022-11-24 14:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.218 s -0.792
2022-11-24 14:18 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.235 s -0.254
2022-11-24 14:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.521 s 0.435
2022-11-24 14:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.580 s 0.498
2022-11-24 14:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.234 s 0.577
2022-11-24 14:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.193 s -1.442
2022-11-24 14:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.279 s 1.330
2022-11-24 14:20 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.053 s -0.031
2022-11-24 14:20 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.881 s 0.503
2022-11-24 14:23 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.535 s 0.149
2022-11-24 14:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.210 s 0.820
2022-11-24 14:20 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.262 s 0.618
2022-11-24 14:21 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.257 s -3.684
2022-11-24 14:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.214 s 0.909
2022-11-24 14:20 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.316 s 0.093
2022-11-24 14:21 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.994 s -1.854
2022-11-24 14:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.261 s -0.339
2022-11-24 14:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.191 s -0.978
2022-11-24 14:21 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.661 s -0.326
2022-11-24 14:22 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.754 s -0.239
2022-11-24 14:23 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.512 s -0.824
2022-11-24 14:26 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.317 s 0.708
2022-11-24 14:26 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.370 s -0.770
2022-11-24 14:33 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.640 s 0.708
2022-11-24 14:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.865 s -0.175
2022-11-24 14:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.885 s 0.320
2022-11-24 14:43 JavaScript Table tracks, 1,000,000 0.286 s -0.481
2022-11-24 14:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s -0.068
2022-11-24 14:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s -0.529
2022-11-24 14:24 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.323 s -2.779
2022-11-24 14:43 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-24 14:43 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.190 s -0.502
2022-11-24 14:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.410 s -2.724
2022-11-24 14:43 JavaScript Iterate Vector uint32Array 0.002 s 0.815
2022-11-24 14:43 JavaScript Table 1,000,000, tracks 0.306 s -1.411
2022-11-24 14:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.154
2022-11-24 14:43 JavaScript Parse write recordBatches, tracks 0.002 s 1.371
2022-11-24 14:43 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.059
2022-11-24 14:43 JavaScript Iterate Vector int8Array 0.002 s 0.442
2022-11-24 14:43 JavaScript Iterate Vector dictionary 0.004 s -2.678
2022-11-24 14:43 JavaScript Spread Vector uint8Array 0.006 s 0.179
2022-11-24 14:43 JavaScript Spread Vector uint32Array 0.007 s 0.112
2022-11-24 14:43 JavaScript vectorFromArray booleans 0.018 s -0.631
2022-11-24 14:43 JavaScript Iterate Vector int32Array 0.002 s 0.454
2022-11-24 14:43 JavaScript Spread Vector dictionary 0.010 s -1.178
2022-11-24 14:43 JavaScript toArray Vector uint8Array
2022-11-24 14:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.265 s -0.948
2022-11-24 14:43 JavaScript get Vector int8Array 0.003 s -0.335
2022-11-24 14:43 JavaScript get Vector int32Array 0.003 s -0.011
2022-11-24 14:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.428 s -0.390
2022-11-24 14:27 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.946 s 0.291
2022-11-24 14:33 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.239 s -1.279
2022-11-24 14:43 JavaScript Iterate Vector string 0.129 s -1.225
2022-11-24 14:43 JavaScript Spread Vector uint16Array 0.006 s 0.157
2022-11-24 14:43 JavaScript Spread Vector uint64Array 0.012 s -0.531
2022-11-24 14:43 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.239
2022-11-24 14:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.258 s -1.801
2022-11-24 14:25 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.419 s -0.508
2022-11-24 14:26 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.061 s 0.534
2022-11-24 14:43 JavaScript Iterate Vector uint64Array 0.004 s -1.165
2022-11-24 14:43 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.126
2022-11-24 14:28 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.719 s -0.628
2022-11-24 14:31 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.320 s -1.793
2022-11-24 14:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.200 s -1.978
2022-11-24 14:43 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.331
2022-11-24 14:24 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.433 s -0.019
2022-11-24 14:29 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.153 s -1.431
2022-11-24 14:43 JavaScript Spread Vector int32Array 0.007 s 0.109
2022-11-24 14:43 JavaScript Spread Vector float32Array 0.008 s 0.120
2022-11-24 14:25 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.310 s -0.957
2022-11-24 14:27 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.605 s -0.862
2022-11-24 14:24 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.171 s 1.757
2022-11-24 14:27 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s -0.521
2022-11-24 14:28 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.385 s -1.762
2022-11-24 14:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.194 s -0.868
2022-11-24 14:34 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.223 s -0.916
2022-11-24 14:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.214
2022-11-24 14:29 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.920 s -0.878
2022-11-24 14:43 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.246
2022-11-24 14:43 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.146
2022-11-24 14:28 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.442 s -1.251
2022-11-24 14:28 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.777 s 0.796
2022-11-24 14:43 JavaScript Iterate Vector uint8Array 0.002 s -0.317
2022-11-24 14:43 JavaScript Iterate Vector numbers 0.002 s 0.499
2022-11-24 14:43 JavaScript Spread Vector numbers 0.008 s 0.323
2022-11-24 14:43 JavaScript Iterate Vector int16Array 0.002 s 0.085
2022-11-24 14:43 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.379
2022-11-24 14:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.450 s -1.608
2022-11-24 14:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.317 s -0.365
2022-11-24 14:43 JavaScript vectorFromArray numbers 0.016 s 0.061
2022-11-24 14:43 JavaScript vectorFromArray dictionary 0.018 s -1.829
2022-11-24 14:43 JavaScript Iterate Vector uint16Array 0.002 s 0.477
2022-11-24 14:43 JavaScript Iterate Vector int64Array 0.004 s -1.096
2022-11-24 14:43 JavaScript Iterate Vector float64Array 0.002 s 0.637
2022-11-24 14:34 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.303 s -0.392
2022-11-24 14:43 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-24 14:43 JavaScript toArray Vector int32Array
2022-11-24 14:43 JavaScript toArray Vector float32Array
2022-11-24 14:43 JavaScript toArray Vector numbers
2022-11-24 14:43 JavaScript get Vector uint8Array 0.003 s -0.257
2022-11-24 14:43 JavaScript get Vector float32Array 0.002 s 0.699
2022-11-24 14:43 JavaScript Table tracks, 1,000,000 0.050 s -0.002
2022-11-24 14:43 JavaScript Iterate Vector float32Array 0.002 s 0.704
2022-11-24 14:43 JavaScript get Vector int16Array 0.003 s -0.191
2022-11-24 14:43 JavaScript get Vector int64Array 0.003 s 0.041
2022-11-24 14:43 JavaScript Iterate Vector booleans 0.004 s 0.603
2022-11-24 14:43 JavaScript toArray Vector uint16Array
2022-11-24 14:43 JavaScript toArray Vector uint64Array
2022-11-24 14:43 JavaScript toArray Vector int8Array
2022-11-24 14:43 JavaScript toArray Vector dictionary 0.010 s -0.723
2022-11-24 14:43 JavaScript get Vector uint32Array 0.003 s -0.389
2022-11-24 14:43 JavaScript Spread Vector int8Array 0.006 s 0.117
2022-11-24 14:43 JavaScript toArray Vector int16Array
2022-11-24 14:43 JavaScript get Vector uint64Array 0.003 s 0.314
2022-11-24 14:43 JavaScript Spread Vector int16Array 0.006 s 0.216
2022-11-24 14:43 JavaScript Spread Vector int64Array 0.012 s -0.729
2022-11-24 14:43 JavaScript get Vector dictionary 0.002 s 0.652
2022-11-24 14:43 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.108
2022-11-24 14:43 JavaScript Spread Vector float64Array 0.008 s 0.150
2022-11-24 14:43 JavaScript Spread Vector booleans 0.010 s 0.389
2022-11-24 14:43 JavaScript Spread Vector string 0.148 s -1.234
2022-11-24 14:43 JavaScript toArray Vector uint32Array
2022-11-24 14:43 JavaScript toArray Vector int64Array
2022-11-24 14:43 JavaScript toArray Vector float64Array
2022-11-24 14:43 JavaScript toArray Vector booleans 0.010 s 0.474
2022-11-24 14:43 JavaScript toArray Vector string 0.148 s -1.327
2022-11-24 14:43 JavaScript get Vector uint16Array 0.003 s -0.243
2022-11-24 14:43 JavaScript get Vector float64Array 0.002 s 0.431
2022-11-24 14:43 JavaScript get Vector booleans 0.002 s 0.533
2022-11-24 14:43 JavaScript get Vector string 0.128 s -1.735
2022-11-24 14:43 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -1.069
2022-11-24 14:43 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 2.023
2022-11-24 14:43 JavaScript get Vector numbers 0.002 s -0.957
2022-11-24 14:43 JavaScript Parse read recordBatches, tracks 0.000 s 1.262
2022-11-24 14:43 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.908
2022-11-24 14:43 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.394
2022-11-24 14:43 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.221
2022-11-24 14:43 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.371
2022-11-24 14:43 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.300
2022-11-24 14:43 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.972
2022-11-24 14:43 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.510
2022-11-24 14:43 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-24 14:43 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-24 14:43 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.523
2022-11-24 14:43 JavaScript Table tracks, 1,000,000 0.095 s 0.123