Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-18 12:24 Python dataframe-to-table chi_traffic_2020_Q1 21.157 s -0.663
2023-01-18 12:45 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.042 s 0.269
2023-01-18 12:47 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.260 s 5.361
2023-01-18 12:58 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.307 s 5.372
2023-01-18 12:58 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.707
2023-01-18 12:59 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.752
2023-01-18 12:22 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.129 s 0.134
2023-01-18 12:45 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -0.996
2023-01-18 12:21 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.032 s -1.019
2023-01-18 12:29 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 75.163 s 0.664
2023-01-18 12:44 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.214 s 0.020
2023-01-18 12:45 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.181 s -0.832
2023-01-18 13:13 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.945 s -0.060
2023-01-18 12:25 Python dataframe-to-table type_strings 0.430 s -1.077
2023-01-18 12:25 Python dataframe-to-table type_integers 0.010 s 0.436
2023-01-18 12:25 Python dataset-filter nyctaxi_2010-01 1.026 s -0.163
2023-01-18 12:22 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.428 s 1.593
2023-01-18 12:33 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 84.540 s -0.258
2023-01-18 12:46 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 1.205
2023-01-18 12:23 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.249 s 1.504
2023-01-18 12:25 Python dataframe-to-table type_dict 0.011 s 0.518
2023-01-18 12:25 Python dataframe-to-table type_floats 0.010 s 0.212
2023-01-18 12:25 Python dataframe-to-table type_nested 2.953 s 0.756
2023-01-18 12:44 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.198 s 0.883
2023-01-18 12:45 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.310 s 0.169
2023-01-18 12:45 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.228 s 0.132
2023-01-18 12:45 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.041 s 0.273
2023-01-18 12:45 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.670 s 0.260
2023-01-18 12:45 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.222 s -0.892
2023-01-18 12:45 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.559
2023-01-18 12:20 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.144 s -1.300
2023-01-18 12:22 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.299 s 1.535
2023-01-18 12:45 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.464
2023-01-18 12:46 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.730 s 5.414
2023-01-18 12:19 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.789 s -0.304
2023-01-18 12:20 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.248 s 0.228
2023-01-18 12:44 Python dataset-read async=True, nyctaxi_multi_ipc_s3 219.499 s 0.522
2023-01-18 12:46 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.940 s -1.679
2023-01-18 12:46 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.401
2023-01-18 12:50 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.372 s -1.611
2023-01-18 12:45 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.142 s -0.270
2023-01-18 13:12 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.494 s 0.203
2023-01-18 13:12 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.311 s 0.361
2023-01-18 13:13 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.970 s 0.239
2023-01-18 12:50 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.147 s 1.728
2023-01-18 12:58 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.288 s -1.432
2023-01-18 12:58 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.280
2023-01-18 13:12 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.490 s 0.294
2023-01-18 13:13 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.201 s 0.447
2023-01-18 12:50 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.148 s 0.833
2023-01-18 13:12 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.137 s 5.382
2023-01-18 13:12 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.617 s 0.460
2023-01-18 13:13 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.928 s 0.366
2023-01-18 13:13 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.971 s 0.186
2023-01-18 13:14 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.343
2023-01-18 13:03 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.056 s -1.624
2023-01-18 13:13 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.633 s 0.297
2023-01-18 13:14 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.324 s 0.453
2023-01-18 12:59 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.227 s -2.439
2023-01-18 13:13 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.961 s -0.239
2023-01-18 12:58 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.834 s 5.361
2023-01-18 12:58 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.064 s -1.633
2023-01-18 12:59 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.380 s 5.380
2023-01-18 13:03 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.404 s 0.922
2023-01-18 13:12 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.636 s -0.002
2023-01-18 13:03 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.412 s -0.601
2023-01-18 13:13 Python file-read lz4, feather, table, fanniemae_2016Q4 0.811 s 0.355
2023-01-18 13:14 Python file-read lz4, feather, table, nyctaxi_2010-01 0.668 s 0.382
2023-01-18 13:14 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.727 s -1.202
2023-01-18 13:16 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.359 s -1.458
2023-01-18 13:16 Python file-write snappy, parquet, table, fanniemae_2016Q4 11.003 s -1.526
2023-01-18 13:17 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.329 s -0.088
2023-01-18 13:17 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.540 s -1.547
2023-01-18 13:18 Python file-write lz4, feather, table, fanniemae_2016Q4 1.885 s -0.243
2023-01-18 13:19 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 6.011 s -1.143
2023-01-18 13:18 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.311 s -0.205
2023-01-18 13:19 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.872 s 0.198
2023-01-18 13:20 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.469 s -1.116
2023-01-18 13:20 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.890 s -1.291
2023-01-18 13:21 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.360 s -1.189
2023-01-18 13:21 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.737 s -0.056
2023-01-18 13:21 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.168 s -0.189
2023-01-18 13:21 Python wide-dataframe use_legacy_dataset=true 0.377 s 0.215
2023-01-18 13:21 Python file-write lz4, feather, table, nyctaxi_2010-01 1.817 s -0.234
2023-01-18 13:21 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.220 s -0.175
2023-01-18 13:22 Python wide-dataframe use_legacy_dataset=false 0.519 s -0.232
2023-01-18 13:30 R dataframe-to-table chi_traffic_2020_Q1, R 4.381 s -1.047
2023-01-18 13:30 R dataframe-to-table type_integers, R 0.010 s 0.499
2023-01-18 13:31 R dataframe-to-table type_nested, R 0.573 s 0.063
2023-01-18 13:30 R dataframe-to-table type_dict, R 0.064 s -1.032
2023-01-18 13:30 R dataframe-to-table type_strings, R 0.535 s -0.151
2023-01-18 13:31 R dataframe-to-table type_floats, R 0.013 s 0.457
2023-01-18 13:31 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.316 s -0.032
2023-01-18 13:31 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.568 s 0.011
2023-01-18 13:32 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.315 s -0.016
2023-01-18 13:32 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.573 s -0.195
2023-01-18 13:32 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.257
2023-01-18 13:32 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s 0.261
2023-01-18 13:32 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.592 s 0.311
2023-01-18 13:32 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.843 s 0.315
2023-01-18 13:33 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.567 s -0.143
2023-01-18 13:33 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.920 s -0.287
2023-01-18 13:33 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.918 s -0.181
2023-01-18 13:33 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.220 s 0.265
2023-01-18 13:33 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.570 s -0.243
2023-01-18 13:33 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.819 s 0.296
2023-01-18 13:34 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.902 s 0.275
2023-01-18 13:34 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.576 s 0.309
2023-01-18 13:35 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.970 s -1.542
2023-01-18 13:37 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.912 s -1.427
2023-01-18 13:38 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.388 s -1.565
2023-01-18 13:39 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.428 s -1.755
2023-01-18 13:40 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.954 s 0.984
2023-01-18 13:42 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.998 s 0.964
2023-01-18 13:42 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.494 s -0.391
2023-01-18 13:44 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.440 s 1.174
2023-01-18 13:44 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.089 s -1.622
2023-01-18 13:46 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.921 s -1.643
2023-01-18 13:47 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.832 s -1.682
2023-01-18 13:48 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.878 s -1.731
2023-01-18 13:49 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.313 s -1.088
2023-01-18 13:49 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.176 s -0.288
2023-01-18 13:50 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.472 s -0.631
2023-01-18 13:51 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.078 s -0.294
2023-01-18 13:52 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.257 s -0.747
2023-01-18 13:51 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.570 s -0.314
2023-01-18 13:52 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.609 s -1.214
2023-01-18 13:52 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.602 s -0.110
2023-01-18 13:52 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.240
2023-01-18 13:52 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.267
2023-01-18 13:52 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.206 s -0.107
2023-01-18 13:52 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.204
2023-01-18 13:53 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.275 s 0.099
2023-01-18 13:53 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.590 s -0.089
2023-01-18 13:53 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.000 s 0.529
2023-01-18 13:54 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.008
2023-01-18 13:54 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.878 s -0.592
2023-01-18 13:54 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.335 s 0.083
2023-01-18 13:54 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.433 s 0.145
2023-01-18 13:54 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.175
2023-01-18 13:54 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.351 s 0.036
2023-01-18 13:54 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.336 s 0.122
2023-01-18 13:55 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.669 s -1.063
2023-01-18 13:55 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.062 s -0.373
2023-01-18 13:55 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.227 s 0.214
2023-01-18 13:55 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.268 s 0.245
2023-01-18 13:55 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.233 s 0.179
2023-01-18 13:55 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.232
2023-01-18 13:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.887 s 0.611
2023-01-18 13:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s 0.217
2023-01-18 13:56 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.588 s 0.124
2023-01-18 13:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.199 s 0.307
2023-01-18 13:57 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.576 s -0.308
2023-01-18 13:57 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.344
2023-01-18 13:57 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.338
2023-01-18 13:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.305
2023-01-18 13:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.282 s -0.589
2023-01-18 13:58 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.418 s -1.905
2023-01-18 13:58 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.906 s 0.611
2023-01-18 13:58 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.237
2023-01-18 13:58 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.216 s -0.384
2023-01-18 13:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.350 s 0.254
2023-01-18 13:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.313 s 0.276
2023-01-18 13:59 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.196
2023-01-18 13:59 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.325 s -0.035
2023-01-18 13:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.647 s -0.090
2023-01-18 14:00 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.639 s -0.316
2023-01-18 14:00 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.710 s -0.089
2023-01-18 14:00 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.162 s 0.176
2023-01-18 14:01 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s 0.241
2023-01-18 14:01 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.232 s 0.334
2023-01-18 14:00 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.249
2023-01-18 14:00 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.281
2023-01-18 14:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.267
2023-01-18 14:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s 0.418
2023-01-18 14:02 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.261 s 0.070
2023-01-18 14:02 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.338 s 0.409
2023-01-18 14:02 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.342
2023-01-18 14:02 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.374 s 0.325
2023-01-18 14:02 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.294 s 0.313
2023-01-18 14:02 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.351 s 0.285
2023-01-18 14:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.644 s -0.079
2023-01-18 14:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.665 s 0.129
2023-01-18 14:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.318
2023-01-18 14:03 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.779 s 0.456
2023-01-18 14:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.394 s 0.327
2023-01-18 14:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.341 s 0.226
2023-01-18 14:05 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.612 s 0.346
2023-01-18 14:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.253
2023-01-18 14:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.718 s 0.179
2023-01-18 14:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.369 s 0.251
2023-01-18 14:06 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.769 s 0.256
2023-01-18 14:07 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.971 s -0.587
2023-01-18 14:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.334
2023-01-18 14:05 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.277
2023-01-18 14:06 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.372 s 0.302
2023-01-18 14:05 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.761 s 0.070
2023-01-18 14:05 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.367
2023-01-18 14:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.441 s 0.258
2023-01-18 14:07 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.288
2023-01-18 14:07 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.299 s 0.306
2023-01-18 14:07 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.154 s -0.160
2023-01-18 14:07 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.336 s 0.244
2023-01-18 14:08 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s 0.185
2023-01-18 14:07 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.198
2023-01-18 14:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.221
2023-01-18 14:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.865 s 1.029
2023-01-18 14:09 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.207
2023-01-18 14:09 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.771 s -0.266
2023-01-18 14:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.369 s -1.539
2023-01-18 14:14 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.441 s -1.393
2023-01-18 14:09 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.261 s 0.250
2023-01-18 14:09 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.303 s 0.282
2023-01-18 14:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.540 s 0.073
2023-01-18 14:09 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.270
2023-01-18 14:09 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.328 s 0.334
2023-01-18 14:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.491 s -0.708
2023-01-18 14:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.334 s 0.251
2023-01-18 14:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.440 s 0.195
2023-01-18 14:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.939 s 0.058
2023-01-18 14:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.553 s -0.128
2023-01-18 14:16 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.284 s 0.305
2023-01-18 14:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.284
2023-01-18 14:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.362 s -5.410
2023-01-18 14:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.611 s -0.738
2023-01-18 14:16 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.966 s -0.226
2023-01-18 14:19 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.322 s 0.306
2023-01-18 14:21 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.317
2023-01-18 14:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.913 s -3.560
2023-01-18 14:14 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.244 s 0.147
2023-01-18 14:18 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s 0.308
2023-01-18 14:18 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.529 s 0.197
2023-01-18 14:10 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.258 s -3.074
2023-01-18 14:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s 0.060
2023-01-18 14:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.614 s 0.236
2023-01-18 14:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.881 s 0.332
2023-01-18 14:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.368 s 0.007
2023-01-18 14:12 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.682 s -1.402
2023-01-18 14:12 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.443 s -0.234
2023-01-18 14:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s -0.038
2023-01-18 14:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.864 s -0.182
2023-01-18 14:14 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.213
2023-01-18 14:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.105 s -0.012
2023-01-18 14:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.180
2023-01-18 14:14 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.267 s 0.278
2023-01-18 14:21 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.407 s -0.022
2023-01-18 14:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.147
2023-01-18 14:16 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.334
2023-01-18 14:16 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.282
2023-01-18 14:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.263
2023-01-18 14:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.290
2023-01-18 14:21 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.259
2023-01-18 14:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.915 s -0.309
2023-01-18 14:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.428 s 0.059
2023-01-18 14:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.591 s 0.098
2023-01-18 14:18 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.237 s 0.302
2023-01-18 14:19 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.268 s 0.263
2023-01-18 14:20 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.990 s -0.178
2023-01-18 14:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.551 s -0.250
2023-01-18 14:14 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.529 s -0.350
2023-01-18 14:19 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.271
2023-01-18 14:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.278
2023-01-18 14:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.666 s 0.213
2023-01-18 14:21 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.236
2023-01-18 14:16 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.251 s 0.349
2023-01-18 14:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.593 s -0.036
2023-01-18 14:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.347
2023-01-18 14:19 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.303
2023-01-18 14:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.472 s -0.682
2023-01-18 14:23 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.128
2023-01-18 14:21 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.091 s -0.564
2023-01-18 14:21 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.242
2023-01-18 14:23 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.894 s -0.732
2023-01-18 14:23 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.326 s 0.255
2023-01-18 14:23 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.442 s 0.208
2023-01-18 14:23 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s 0.061
2023-01-18 14:23 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.283 s 0.001
2023-01-18 14:23 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.344 s -0.464
2023-01-18 14:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.670 s -1.463
2023-01-18 14:25 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.184
2023-01-18 14:25 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.145
2023-01-18 14:25 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.493 s -1.423
2023-01-18 14:25 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.127
2023-01-18 14:25 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.319 s 0.204
2023-01-18 14:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.086
2023-01-18 14:27 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.072 s -0.024
2023-01-18 14:26 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.986 s -0.413
2023-01-18 14:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.609 s -0.380
2023-01-18 14:27 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s -0.058
2023-01-18 14:28 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.862 s 0.661
2023-01-18 14:27 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.395 s 0.202
2023-01-18 14:27 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.797 s -0.085
2023-01-18 14:27 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.730 s 0.050
2023-01-18 14:28 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.152 s -0.407
2023-01-18 14:30 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.959 s -0.540
2023-01-18 14:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.178 s -1.578
2023-01-18 14:32 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.199 s 0.112
2023-01-18 14:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.202 s 0.373
2023-01-18 14:33 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.272
2023-01-18 14:32 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.251
2023-01-18 14:33 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.451 s 0.234
2023-01-18 14:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.309
2023-01-18 14:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.307 s 0.363
2023-01-18 14:33 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.344 s -0.278
2023-01-18 14:42 JavaScript Iterate Vector string 0.127 s -0.413
2023-01-18 14:42 JavaScript Iterate Vector uint8Array 0.002 s 0.147
2023-01-18 14:42 JavaScript Iterate Vector int32Array 0.002 s 0.787
2023-01-18 14:42 JavaScript Spread Vector int8Array 0.006 s 0.006
2023-01-18 14:42 JavaScript toArray Vector uint8Array
2023-01-18 14:42 JavaScript toArray Vector dictionary 0.010 s 0.934
2023-01-18 14:42 JavaScript Iterate Vector int16Array 0.002 s 0.670
2023-01-18 14:42 JavaScript Spread Vector string 0.146 s -0.425
2023-01-18 14:42 JavaScript Spread Vector uint16Array 0.006 s 0.483
2023-01-18 14:42 JavaScript toArray Vector int64Array
2023-01-18 14:42 JavaScript vectorFromArray numbers 0.016 s 0.178
2023-01-18 14:42 JavaScript vectorFromArray dictionary 0.017 s 0.496
2023-01-18 14:42 JavaScript vectorFromArray booleans 0.018 s 0.234
2023-01-18 14:42 JavaScript Spread Vector int32Array 0.007 s -0.118
2023-01-18 14:42 JavaScript Spread Vector numbers 0.008 s 0.329
2023-01-18 14:42 JavaScript toArray Vector booleans 0.010 s -1.580
2023-01-18 14:42 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.506
2023-01-18 14:42 JavaScript Iterate Vector uint16Array 0.002 s 0.640
2023-01-18 14:42 JavaScript Iterate Vector uint64Array 0.004 s 0.546
2023-01-18 14:42 JavaScript Spread Vector uint64Array 0.012 s 0.932
2023-01-18 14:42 JavaScript Spread Vector int16Array 0.006 s 0.496
2023-01-18 14:42 JavaScript Spread Vector float64Array 0.008 s 0.918
2023-01-18 14:42 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.093
2023-01-18 14:42 JavaScript Iterate Vector uint32Array 0.002 s 0.216
2023-01-18 14:42 JavaScript Iterate Vector int8Array 0.002 s 0.115
2023-01-18 14:42 JavaScript Spread Vector float32Array 0.008 s 0.318
2023-01-18 14:42 JavaScript Spread Vector dictionary 0.010 s 1.002
2023-01-18 14:42 JavaScript get Vector float32Array 0.002 s -6.930
2023-01-18 14:42 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.105
2023-01-18 14:42 JavaScript Iterate Vector int64Array 0.004 s 0.841
2023-01-18 14:42 JavaScript Iterate Vector float64Array 0.002 s 0.797
2023-01-18 14:42 JavaScript Iterate Vector booleans 0.004 s -0.434
2023-01-18 14:42 JavaScript Spread Vector int64Array 0.012 s 0.327
2023-01-18 14:42 JavaScript Spread Vector booleans 0.010 s -1.272
2023-01-18 14:42 JavaScript toArray Vector uint16Array
2023-01-18 14:42 JavaScript Iterate Vector float32Array 0.002 s 0.465
2023-01-18 14:42 JavaScript Iterate Vector numbers 0.002 s 0.738
2023-01-18 14:42 JavaScript Iterate Vector dictionary 0.004 s 0.831
2023-01-18 14:42 JavaScript Spread Vector uint8Array 0.006 s 0.347
2023-01-18 14:42 JavaScript Spread Vector uint32Array 0.007 s 0.374
2023-01-18 14:42 JavaScript toArray Vector uint32Array
2023-01-18 14:42 JavaScript toArray Vector int8Array
2023-01-18 14:42 JavaScript toArray Vector int32Array
2023-01-18 14:42 JavaScript toArray Vector float32Array
2023-01-18 14:42 JavaScript toArray Vector numbers
2023-01-18 14:42 JavaScript get Vector uint8Array 0.003 s -0.025
2023-01-18 14:42 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 1.192
2023-01-18 14:42 JavaScript toArray Vector uint64Array
2023-01-18 14:42 JavaScript toArray Vector int16Array
2023-01-18 14:42 JavaScript get Vector string 0.125 s -0.267
2023-01-18 14:42 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.598
2023-01-18 14:42 JavaScript toArray Vector float64Array
2023-01-18 14:42 JavaScript toArray Vector string 0.144 s 0.968
2023-01-18 14:42 JavaScript get Vector int16Array 0.003 s 0.190
2023-01-18 14:42 JavaScript get Vector booleans 0.002 s 0.015
2023-01-18 14:42 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.117
2023-01-18 14:42 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.187 s 0.188
2023-01-18 14:42 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.041
2023-01-18 14:42 JavaScript get Vector uint16Array 0.003 s 0.041
2023-01-18 14:42 JavaScript get Vector uint64Array 0.003 s -0.540
2023-01-18 14:42 JavaScript get Vector float64Array 0.002 s -5.091
2023-01-18 14:42 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.779
2023-01-18 14:42 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.361
2023-01-18 14:42 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.822
2023-01-18 14:42 JavaScript get Vector uint32Array 0.003 s -0.548
2023-01-18 14:42 JavaScript get Vector int8Array 0.003 s 0.142
2023-01-18 14:42 JavaScript get Vector int32Array 0.003 s 0.311
2023-01-18 14:42 JavaScript get Vector numbers 0.002 s -0.398
2023-01-18 14:42 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.126
2023-01-18 14:42 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-18 14:42 JavaScript get Vector int64Array 0.003 s -0.091
2023-01-18 14:42 JavaScript get Vector dictionary 0.002 s 0.678
2023-01-18 14:42 JavaScript Parse read recordBatches, tracks 0.000 s 1.236
2023-01-18 14:42 JavaScript Parse write recordBatches, tracks 0.002 s -0.666
2023-01-18 14:42 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 14:42 JavaScript Table tracks, 1,000,000 0.050 s -0.619
2023-01-18 14:42 JavaScript Table 1,000,000, tracks 0.265 s 0.495
2023-01-18 14:42 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.645
2023-01-18 14:42 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.357
2023-01-18 14:42 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.420
2023-01-18 14:42 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 14:42 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.191 s -1.240
2023-01-18 14:42 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.861
2023-01-18 14:42 JavaScript Table tracks, 1,000,000 0.288 s -0.861
2023-01-18 14:42 JavaScript Table tracks, 1,000,000 0.094 s 1.183
2023-01-18 14:42 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.240
2023-01-18 14:42 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-18 14:42 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.033 s -3.551