Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-20 09:21 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.028 s -0.729
2023-01-20 09:20 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.776 s 0.580
2023-01-20 09:20 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.241 s 0.186
2023-01-20 09:25 Python dataframe-to-table type_integers 0.010 s 0.103
2023-01-20 09:22 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.451 s 0.925
2023-01-20 09:23 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.397 s 0.905
2023-01-20 09:22 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.440 s -0.452
2023-01-20 09:22 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.118 s 0.208
2023-01-20 09:25 Python dataset-filter nyctaxi_2010-01 1.034 s -0.413
2023-01-20 09:20 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.197 s -1.138
2023-01-20 09:25 Python dataframe-to-table type_floats 0.010 s 0.164
2023-01-20 09:25 Python dataframe-to-table type_nested 2.953 s 0.853
2023-01-20 09:25 Python dataframe-to-table chi_traffic_2020_Q1 20.975 s 0.520
2023-01-20 09:25 Python dataframe-to-table type_dict 0.011 s 0.840
2023-01-20 09:25 Python dataframe-to-table type_strings 0.432 s -1.506
2023-01-20 09:30 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 93.415 s -1.224
2023-01-20 09:35 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 94.302 s -4.570
2023-01-20 09:49 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.173 s -0.330
2023-01-20 09:50 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.904 s 1.368
2023-01-20 09:48 Python dataset-read async=True, nyctaxi_multi_ipc_s3 264.922 s -5.197
2023-01-20 09:48 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.229 s 0.071
2023-01-20 09:50 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.272 s 1.946
2023-01-20 09:54 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.153 s -0.583
2023-01-20 09:48 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.488 s -1.025
2023-01-20 09:49 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.213 s -0.381
2023-01-20 10:02 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.282 s 0.602
2023-01-20 10:02 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.001 s 0.562
2023-01-20 09:48 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.316 s 0.030
2023-01-20 09:49 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.040 s 0.203
2023-01-20 09:49 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.654 s 0.252
2023-01-20 09:50 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.146
2023-01-20 09:49 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.695
2023-01-20 09:49 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.731 s 1.982
2023-01-20 09:54 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.045 s 1.117
2023-01-20 09:49 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.046 s 0.190
2023-01-20 09:49 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.187 s -1.743
2023-01-20 09:49 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.303 s 1.258
2023-01-20 09:49 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.206
2023-01-20 09:54 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.147 s 1.173
2023-01-20 10:02 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.424 s 1.954
2023-01-20 09:48 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.181 s 0.184
2023-01-20 10:02 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.457
2023-01-20 09:50 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.300
2023-01-20 10:02 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.329
2023-01-20 10:03 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.391 s 1.977
2023-01-20 10:15 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.261 s 1.980
2023-01-20 10:16 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.311 s 0.293
2023-01-20 10:02 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.835 s 2.022
2023-01-20 10:06 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.454 s 0.490
2023-01-20 10:16 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.652 s -0.041
2023-01-20 10:17 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.576 s 0.346
2023-01-20 10:02 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.010
2023-01-20 10:02 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.530
2023-01-20 10:07 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.409 s -0.714
2023-01-20 10:07 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.409 s 0.210
2023-01-20 10:21 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.305 s -0.177
2023-01-20 10:17 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.985 s 0.007
2023-01-20 10:17 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.901 s 0.550
2023-01-20 10:17 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.934 s 0.282
2023-01-20 10:23 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.817 s 0.112
2023-01-20 10:17 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.918 s 0.305
2023-01-20 10:21 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.470 s -0.425
2023-01-20 10:25 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.746 s -0.227
2023-01-20 10:17 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.714 s 0.052
2023-01-20 10:17 Python file-read lz4, feather, table, nyctaxi_2010-01 0.669 s 0.343
2023-01-20 10:16 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.519 s -0.868
2023-01-20 10:17 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.301 s -1.729
2023-01-20 10:16 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.522 s -0.839
2023-01-20 10:17 Python file-read lz4, feather, table, fanniemae_2016Q4 0.806 s 0.489
2023-01-20 10:20 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.755 s 0.033
2023-01-20 10:25 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.206 s -0.193
2023-01-20 10:16 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.625 s 0.136
2023-01-20 10:19 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.286 s -0.810
2023-01-20 10:23 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.963 s -0.608
2023-01-20 10:23 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.319 s -0.015
2023-01-20 10:17 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.992 s -0.148
2023-01-20 10:18 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.313 s 0.523
2023-01-20 10:22 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.287 s -0.254
2023-01-20 10:25 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.262
2023-01-20 10:34 R dataframe-to-table type_strings, R 0.535 s -0.258
2023-01-20 10:34 R dataframe-to-table type_floats, R 0.013 s -0.174
2023-01-20 10:37 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.579 s 0.212
2023-01-20 10:18 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.538 s 0.096
2023-01-20 10:25 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.169 s -0.339
2023-01-20 10:25 Python file-write lz4, feather, table, nyctaxi_2010-01 1.813 s -0.394
2023-01-20 10:25 Python wide-dataframe use_legacy_dataset=false 0.514 s 0.303
2023-01-20 10:35 R dataframe-to-table type_nested, R 0.574 s 0.036
2023-01-20 10:36 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.847 s 0.236
2023-01-20 10:22 Python file-write lz4, feather, table, fanniemae_2016Q4 1.890 s -0.438
2023-01-20 10:34 R dataframe-to-table type_dict, R 0.059 s -0.516
2023-01-20 10:34 R dataframe-to-table type_integers, R 0.010 s -0.108
2023-01-20 10:36 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.594 s -1.181
2023-01-20 10:36 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.568 s 0.170
2023-01-20 10:24 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.685 s 0.246
2023-01-20 10:24 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.194 s 0.111
2023-01-20 10:37 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.925 s -0.553
2023-01-20 10:34 R dataframe-to-table chi_traffic_2020_Q1, R 4.389 s -0.856
2023-01-20 10:35 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.342 s -1.365
2023-01-20 10:36 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.585 s 0.267
2023-01-20 10:37 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.575 s -0.526
2023-01-20 10:37 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.214 s 0.245
2023-01-20 10:38 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.901 s 0.238
2023-01-20 10:35 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.346 s -1.567
2023-01-20 10:45 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.993 s 0.925
2023-01-20 10:46 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.143
2023-01-20 10:47 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.504 s -0.381
2023-01-20 10:50 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.655 s 0.206
2023-01-20 10:36 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.223
2023-01-20 10:52 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.314 s -1.111
2023-01-20 10:35 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.598 s -1.430
2023-01-20 10:37 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.930 s -0.755
2023-01-20 10:40 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.672 s 0.047
2023-01-20 10:44 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.957 s 0.426
2023-01-20 10:48 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.948 s -0.022
2023-01-20 10:36 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.574 s -0.534
2023-01-20 10:38 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.714 s 0.020
2023-01-20 10:41 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.132 s 0.013
2023-01-20 10:43 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.190 s -0.247
2023-01-20 10:49 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.781 s -0.134
2023-01-20 10:52 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.746 s -0.224
2023-01-20 10:37 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.817 s 0.237
2023-01-20 10:53 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.185 s -0.691
2023-01-20 10:54 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.066
2023-01-20 10:55 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.570 s -0.508
2023-01-20 10:55 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.082 s -0.482
2023-01-20 10:56 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.590 s 0.802
2023-01-20 10:55 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.260 s -1.691
2023-01-20 10:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.287 s 0.001
2023-01-20 10:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.206 s -0.078
2023-01-20 10:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.207 s -0.218
2023-01-20 10:55 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.615 s -1.299
2023-01-20 10:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.246 s 0.062
2023-01-20 10:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.280 s -0.487
2023-01-20 10:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.591 s -0.199
2023-01-20 10:57 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.006 s -0.698
2023-01-20 10:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.305 s -1.562
2023-01-20 10:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.350 s -1.036
2023-01-20 10:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.348 s -1.492
2023-01-20 10:57 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.851 s -0.377
2023-01-20 10:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.448 s -0.655
2023-01-20 10:57 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.293 s -4.624
2023-01-20 10:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.363 s -0.815
2023-01-20 10:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.680 s -1.549
2023-01-20 10:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.243 s -0.454
2023-01-20 10:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.308 s -0.517
2023-01-20 10:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.311 s -0.075
2023-01-20 10:59 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.076 s -0.812
2023-01-20 10:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.240 s -1.394
2023-01-20 10:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.281 s -0.690
2023-01-20 11:00 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.893 s 0.132
2023-01-20 10:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.594 s -0.165
2023-01-20 11:00 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.218 s -0.997
2023-01-20 11:00 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.540 s -0.062
2023-01-20 11:01 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.258 s -3.214
2023-01-20 11:01 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.360 s -4.709
2023-01-20 11:01 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.386 s -5.800
2023-01-20 11:02 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.332 s 0.068
2023-01-20 11:01 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.324 s -8.465
2023-01-20 11:02 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.905 s 0.789
2023-01-20 11:02 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.270 s -4.325
2023-01-20 11:02 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.204 s -0.441
2023-01-20 11:03 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.317 s -10.878
2023-01-20 11:03 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.352 s -5.621
2023-01-20 11:03 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.324 s -1.254
2023-01-20 11:03 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.477 s -6.042
2023-01-20 11:04 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.656 s -0.987
2023-01-20 11:04 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.642 s -0.643
2023-01-20 11:04 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.762 s -0.684
2023-01-20 11:05 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.166 s -0.285
2023-01-20 11:05 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.248 s -0.455
2023-01-20 11:05 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.167 s -0.405
2023-01-20 11:05 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.217 s -0.646
2023-01-20 11:05 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.515 s -0.387
2023-01-20 11:05 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.183 s -0.643
2023-01-20 11:06 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.356 s -0.266
2023-01-20 11:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.303 s -0.461
2023-01-20 11:06 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.237 s 0.359
2023-01-20 11:06 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.352 s -0.139
2023-01-20 11:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.304 s -0.431
2023-01-20 11:07 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.362 s -0.326
2023-01-20 11:07 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.386 s -0.108
2023-01-20 11:08 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.600 s 0.204
2023-01-20 11:07 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.671 s -0.060
2023-01-20 11:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.445 s -0.421
2023-01-20 11:07 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.794 s -0.503
2023-01-20 11:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.388 s -1.080
2023-01-20 11:09 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.728 s -0.210
2023-01-20 11:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.353 s -1.000
2023-01-20 11:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.358 s -1.014
2023-01-20 11:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.410 s -0.292
2023-01-20 11:09 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.786 s -0.202
2023-01-20 11:10 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.335 s -0.205
2023-01-20 11:09 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.631 s -1.710
2023-01-20 11:10 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.282 s -0.471
2023-01-20 11:11 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.136 s -0.047
2023-01-20 11:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.270 s -0.288
2023-01-20 11:10 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.451 s -1.000
2023-01-20 11:12 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.273 s -0.779
2023-01-20 11:15 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.506 s -1.503
2023-01-20 11:13 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.720 s 0.247
2023-01-20 11:10 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.383 s -0.205
2023-01-20 11:12 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.335 s -2.329
2023-01-20 11:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.659 s -0.357
2023-01-20 11:15 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.377 s -0.431
2023-01-20 11:16 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.547 s -0.394
2023-01-20 11:10 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.307 s -0.793
2023-01-20 11:16 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.715 s -1.346
2023-01-20 11:17 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.623 s -1.252
2023-01-20 11:18 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.864 s -2.779
2023-01-20 11:21 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.593 s 0.027
2023-01-20 11:25 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.250 s 0.053
2023-01-20 11:32 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.757 s -2.344
2023-01-20 11:33 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.912 s -1.282
2023-01-20 11:10 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.779 s -0.311
2023-01-20 11:14 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.312 s -0.223
2023-01-20 11:14 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.550 s -0.531
2023-01-20 11:15 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.266 s -0.360
2023-01-20 11:15 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.933 s -0.550
2023-01-20 11:18 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.224 s -0.084
2023-01-20 11:21 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.250 s -0.115
2023-01-20 11:22 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.248 s -0.019
2023-01-20 11:25 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.215 s -0.097
2023-01-20 11:30 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.273 s -1.010
2023-01-20 11:31 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.989 s -0.615
2023-01-20 11:11 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.968 s -0.510
2023-01-20 11:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.269 s -1.174
2023-01-20 11:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.238 s -0.457
2023-01-20 11:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.219 s -0.480
2023-01-20 11:17 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.344 s -1.254
2023-01-20 11:20 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.064 s -0.408
2023-01-20 11:22 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.587 s 0.085
2023-01-20 11:23 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.288 s -0.256
2023-01-20 11:24 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.336 s -0.086
2023-01-20 11:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.311 s -0.229
2023-01-20 11:17 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.937 s -2.609
2023-01-20 11:21 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.632 s -0.708
2023-01-20 11:24 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.236 s -0.324
2023-01-20 11:25 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.201 s -0.197
2023-01-20 11:28 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.936 s -7.433
2023-01-20 11:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.345 s -0.254
2023-01-20 11:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.218 s -0.398
2023-01-20 11:14 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.875 s -0.568
2023-01-20 11:14 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.279 s -0.593
2023-01-20 11:15 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.312 s -0.967
2023-01-20 11:19 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.278 s -0.023
2023-01-20 11:19 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.345 s -0.122
2023-01-20 11:20 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.260 s 0.078
2023-01-20 11:22 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.203 s -0.088
2023-01-20 11:22 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.229 s -0.194
2023-01-20 11:13 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.883 s -1.014
2023-01-20 11:14 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.336 s -0.633
2023-01-20 11:22 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.330 s -0.036
2023-01-20 11:23 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.895 s -0.460
2023-01-20 11:23 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.084 s 0.189
2023-01-20 11:25 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.001 s -0.197
2023-01-20 11:27 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.353 s -0.564
2023-01-20 11:27 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.466 s -5.014
2023-01-20 11:28 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.574 s -7.823
2023-01-20 11:28 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.538 s -8.100
2023-01-20 11:17 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.245 s -0.213
2023-01-20 11:17 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.433 s -0.274
2023-01-20 11:18 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.452 s -1.097
2023-01-20 11:20 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.566 s -0.195
2023-01-20 11:20 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.215 s 0.000
2023-01-20 11:23 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.539 s -0.057
2023-01-20 11:26 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.412 s -0.293
2023-01-20 11:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.476 s -1.242
2023-01-20 11:38 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.270 s -0.145
2023-01-20 11:47 JavaScript vectorFromArray booleans 0.021 s -7.019
2023-01-20 11:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.193 s -0.448
2023-01-20 11:19 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.956 s -0.250
2023-01-20 11:21 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.292 s 0.090
2023-01-20 11:24 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.003 s -0.343
2023-01-20 11:26 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.556 s -0.345
2023-01-20 11:35 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.011 s -0.646
2023-01-20 11:37 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.253 s -0.138
2023-01-20 11:47 JavaScript Spread Vector int16Array 0.006 s 0.596
2023-01-20 11:47 JavaScript Spread Vector string 0.144 s 0.733
2023-01-20 11:47 JavaScript toArray Vector string 0.145 s 0.396
2023-01-20 11:19 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.250 s -0.111
2023-01-20 11:22 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.296 s -0.128
2023-01-20 11:24 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.274 s -0.478
2023-01-20 11:24 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.682 s -0.825
2023-01-20 11:27 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.302 s -1.738
2023-01-20 11:33 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.160 s -0.364
2023-01-20 11:37 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.205 s -0.409
2023-01-20 11:38 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.234 s -0.387
2023-01-20 11:47 JavaScript Iterate Vector int8Array 0.002 s -1.164
2023-01-20 11:47 JavaScript Spread Vector dictionary 0.010 s 0.409
2023-01-20 11:19 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.455 s -0.704
2023-01-20 11:21 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.218 s -0.002
2023-01-20 11:23 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.232 s -0.331
2023-01-20 11:26 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.455 s 0.137
2023-01-20 11:27 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.490 s -4.027
2023-01-20 11:29 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.677 s -1.384
2023-01-20 11:32 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.278 s -1.015
2023-01-20 11:47 JavaScript Iterate Vector uint8Array 0.002 s -1.557
2023-01-20 11:47 JavaScript Spread Vector float32Array 0.008 s -0.030
2023-01-20 11:47 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.511
2023-01-20 11:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.335 s -0.572
2023-01-20 11:38 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.463 s -0.425
2023-01-20 11:47 JavaScript vectorFromArray numbers 0.018 s -2.777
2023-01-20 11:47 JavaScript vectorFromArray dictionary 0.017 s 0.336
2023-01-20 11:47 JavaScript Iterate Vector int16Array 0.002 s -1.113
2023-01-20 11:47 JavaScript Spread Vector int64Array 0.012 s 0.276
2023-01-20 11:47 JavaScript toArray Vector int16Array
2023-01-20 11:25 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.272 s 0.048
2023-01-20 11:30 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.461 s -0.862
2023-01-20 11:31 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.617 s -1.563
2023-01-20 11:32 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.425 s -3.245
2023-01-20 11:37 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.210 s -0.211
2023-01-20 11:38 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.314 s -0.526
2023-01-20 11:38 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.339 s -0.174
2023-01-20 11:47 JavaScript Iterate Vector uint16Array 0.002 s -1.340
2023-01-20 11:47 JavaScript Iterate Vector uint64Array 0.004 s 0.626
2023-01-20 11:47 JavaScript toArray Vector int8Array
2023-01-20 11:30 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.273 s -1.159
2023-01-20 11:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.825 s -1.255
2023-01-20 11:47 JavaScript Spread Vector int8Array 0.007 s -0.096
2023-01-20 11:47 JavaScript get Vector uint8Array 0.003 s 0.373
2023-01-20 11:47 JavaScript get Vector uint32Array 0.003 s 1.506
2023-01-20 11:30 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.385 s -0.708
2023-01-20 11:31 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.304 s -1.471
2023-01-20 11:47 JavaScript Spread Vector uint64Array 0.012 s -0.145
2023-01-20 11:47 JavaScript toArray Vector booleans 0.010 s 1.119
2023-01-20 11:47 JavaScript Parse write recordBatches, tracks 0.002 s -2.301
2023-01-20 11:47 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-20 11:37 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.241 s -1.468
2023-01-20 11:47 JavaScript Iterate Vector int64Array 0.004 s 0.584
2023-01-20 11:47 JavaScript Iterate Vector float64Array 0.002 s -1.982
2023-01-20 11:47 JavaScript Spread Vector uint16Array 0.006 s 0.444
2023-01-20 11:47 JavaScript toArray Vector uint16Array
2023-01-20 11:47 JavaScript get Vector uint64Array 0.003 s 1.532
2023-01-20 11:47 JavaScript Iterate Vector uint32Array 0.002 s -1.840
2023-01-20 11:47 JavaScript Iterate Vector int32Array 0.002 s -0.995
2023-01-20 11:47 JavaScript Iterate Vector float32Array 0.002 s -3.476
2023-01-20 11:47 JavaScript toArray Vector uint8Array
2023-01-20 11:47 JavaScript get Vector float32Array 0.002 s -0.986
2023-01-20 11:47 JavaScript Iterate Vector numbers 0.002 s -2.013
2023-01-20 11:47 JavaScript Iterate Vector dictionary 0.004 s 1.205
2023-01-20 11:47 JavaScript Spread Vector uint8Array 0.006 s 0.338
2023-01-20 11:47 JavaScript Spread Vector uint32Array 0.007 s 0.157
2023-01-20 11:47 JavaScript Spread Vector numbers 0.008 s 0.763
2023-01-20 11:47 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.397
2023-01-20 11:47 JavaScript Iterate Vector booleans 0.004 s -0.994
2023-01-20 11:47 JavaScript Iterate Vector string 0.127 s -0.459
2023-01-20 11:47 JavaScript Spread Vector float64Array 0.008 s 0.486
2023-01-20 11:47 JavaScript Spread Vector booleans 0.010 s 1.033
2023-01-20 11:47 JavaScript toArray Vector uint64Array
2023-01-20 11:47 JavaScript toArray Vector float64Array
2023-01-20 11:47 JavaScript Spread Vector int32Array 0.007 s -0.119
2023-01-20 11:47 JavaScript toArray Vector uint32Array
2023-01-20 11:47 JavaScript toArray Vector int32Array
2023-01-20 11:47 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.041
2023-01-20 11:47 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.933
2023-01-20 11:47 JavaScript toArray Vector int64Array
2023-01-20 11:47 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.308
2023-01-20 11:47 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.003
2023-01-20 11:47 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.194 s -2.802
2023-01-20 11:47 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.678
2023-01-20 11:47 JavaScript toArray Vector float32Array
2023-01-20 11:47 JavaScript toArray Vector numbers
2023-01-20 11:47 JavaScript toArray Vector dictionary 0.010 s 1.304
2023-01-20 11:47 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.363
2023-01-20 11:47 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-20 11:47 JavaScript Table tracks, 1,000,000 0.050 s -0.206
2023-01-20 11:47 JavaScript Table 1,000,000, tracks 0.244 s 1.346
2023-01-20 11:47 JavaScript get Vector uint16Array 0.003 s 1.518
2023-01-20 11:47 JavaScript get Vector int8Array 0.003 s 0.884
2023-01-20 11:47 JavaScript get Vector int32Array 0.003 s 1.286
2023-01-20 11:47 JavaScript get Vector numbers 0.002 s -0.478
2023-01-20 11:47 JavaScript Parse read recordBatches, tracks 0.000 s -2.439
2023-01-20 11:47 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.918
2023-01-20 11:47 JavaScript get Vector int16Array 0.003 s 1.758
2023-01-20 11:47 JavaScript get Vector int64Array 0.003 s 1.254
2023-01-20 11:47 JavaScript get Vector float64Array 0.002 s -0.623
2023-01-20 11:47 JavaScript get Vector booleans 0.002 s -1.256
2023-01-20 11:47 JavaScript get Vector string 0.124 s 0.318
2023-01-20 11:47 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.512
2023-01-20 11:47 JavaScript get Vector dictionary 0.002 s 0.137
2023-01-20 11:47 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.416
2023-01-20 11:47 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.718
2023-01-20 11:47 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.176
2023-01-20 11:47 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.649
2023-01-20 11:47 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-20 11:47 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.376
2023-01-20 11:47 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.144
2023-01-20 11:47 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.992
2023-01-20 11:47 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-20 11:47 JavaScript Table tracks, 1,000,000 0.257 s 0.719
2023-01-20 11:47 JavaScript Table tracks, 1,000,000 0.097 s -2.379
2023-01-20 11:47 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.525