Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-16 23:10 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.808 s -1.669
2023-01-16 23:12 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.114 s 0.275
2023-01-16 23:13 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.465 s 1.070
2023-01-16 23:12 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.438 s 0.112
2023-01-16 23:12 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.533 s 1.071
2023-01-16 23:10 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.245 s 0.253
2023-01-16 23:10 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.054 s -1.048
2023-01-16 23:11 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.045 s -1.112
2023-01-16 23:15 Python dataframe-to-table type_integers 0.010 s 0.351
2023-01-16 23:15 Python dataframe-to-table type_strings 0.422 s 2.005
2023-01-16 23:15 Python dataframe-to-table chi_traffic_2020_Q1 20.825 s 1.765
2023-01-16 23:15 Python dataframe-to-table type_dict 0.011 s -0.229
2023-01-16 23:15 Python dataset-filter nyctaxi_2010-01 1.021 s -0.103
2023-01-16 23:15 Python dataframe-to-table type_nested 2.970 s -0.070
2023-01-16 23:15 Python dataframe-to-table type_floats 0.010 s 0.158
2023-01-16 23:20 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 98.341 s -1.952
2023-01-16 23:25 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 94.438 s -7.500
2023-01-16 23:38 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.196 s 0.119
2023-01-16 23:38 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.219 s 0.180
2023-01-16 23:38 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.204 s -0.036
2023-01-16 23:38 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.661 s 0.278
2023-01-16 23:38 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.048 s 0.273
2023-01-16 23:43 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.148 s 0.520
2023-01-16 23:37 Python dataset-read async=True, nyctaxi_multi_ipc_s3 247.566 s -3.896
2023-01-16 23:38 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.167 s -0.134
2023-01-16 23:39 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 1.319
2023-01-16 23:39 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.327
2023-01-16 23:44 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.149 s 0.905
2023-01-16 23:38 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.296 s 0.281
2023-01-16 23:38 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.134 s 0.057
2023-01-16 23:39 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.772
2023-01-16 23:38 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.394 s -0.571
2023-01-16 23:39 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.246
2023-01-16 23:38 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.046 s 0.259
2023-01-16 23:40 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.524 s 1.360
2023-01-16 23:51 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -1.336
2023-01-16 23:51 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.195
2023-01-16 23:39 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -1.536
2023-01-16 23:43 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.319 s -1.574
2023-01-16 23:39 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.933 s -1.594
2023-01-16 23:39 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.246
2023-01-16 23:51 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.994 s 1.133
2023-01-16 23:51 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.224
2023-01-16 23:52 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.224 s 1.635
2023-01-16 23:52 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.045 s -1.390
2023-01-16 23:52 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.153
2023-01-16 23:52 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.865 s 1.194
2023-01-16 23:53 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.686 s 1.303
2023-01-16 23:56 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.409 s -0.650
2023-01-16 23:56 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.912 s -1.535
2023-01-16 23:57 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.406 s 1.192
2023-01-17 00:06 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.614 s 0.566
2023-01-17 00:06 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.207 s 1.313
2023-01-17 00:06 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.610 s 0.412
2023-01-17 00:06 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.491 s 0.415
2023-01-17 00:06 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.317 s 0.348
2023-01-17 00:06 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.504 s -0.158
2023-01-17 00:07 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.945 s -0.053
2023-01-17 00:06 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.632 s 0.316
2023-01-17 00:07 Python file-read lz4, feather, table, fanniemae_2016Q4 0.816 s 0.272
2023-01-17 00:07 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.206 s 0.430
2023-01-17 00:07 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.989 s -0.037
2023-01-17 00:07 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.929 s 0.378
2023-01-17 00:07 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.953 s 0.397
2023-01-17 00:07 Python file-read lz4, feather, table, nyctaxi_2010-01 0.684 s 0.233
2023-01-17 00:07 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.590 s 0.333
2023-01-17 00:07 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.337 s 0.305
2023-01-17 00:07 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.942 s 0.007
2023-01-17 00:08 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.663 s -1.030
2023-01-17 00:09 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.296 s -1.417
2023-01-17 00:10 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.937 s -1.569
2023-01-17 00:11 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.443 s -1.330
2023-01-17 00:11 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.266 s 0.014
2023-01-17 00:12 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.196 s 0.017
2023-01-17 00:13 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.881 s 0.191
2023-01-17 00:12 Python file-write lz4, feather, table, fanniemae_2016Q4 1.839 s 0.132
2023-01-17 00:13 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.970 s -1.151
2023-01-17 00:14 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.901 s -1.809
2023-01-17 00:13 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.476 s -1.511
2023-01-17 00:14 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.370 s -1.647
2023-01-17 00:15 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.291 s -0.663
2023-01-17 00:15 Python wide-dataframe use_legacy_dataset=true 0.375 s 0.424
2023-01-17 00:15 Python wide-dataframe use_legacy_dataset=false 0.513 s 0.404
2023-01-17 00:15 Python file-write uncompressed, feather, table, nyctaxi_2010-01 3.123 s -1.528
2023-01-17 00:15 Python file-write lz4, feather, table, nyctaxi_2010-01 1.811 s -0.202
2023-01-17 00:15 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.519 s -2.244
2023-01-17 00:39 R dataframe-to-table type_nested, R 0.574 s -0.277
2023-01-17 00:38 R dataframe-to-table type_dict, R 0.046 s 1.066
2023-01-17 00:39 R dataframe-to-table type_floats, R 0.013 s 0.563
2023-01-17 00:40 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.567 s -0.132
2023-01-17 00:40 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.313 s 0.262
2023-01-17 00:41 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.911 s -0.030
2023-01-17 00:40 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.847 s 0.288
2023-01-17 00:41 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.572 s -0.306
2023-01-17 00:39 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.578 s -0.289
2023-01-17 00:39 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.319 s -0.005
2023-01-17 00:40 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -0.316
2023-01-17 00:41 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.917 s -0.193
2023-01-17 00:40 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.570 s 0.269
2023-01-17 00:42 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.896 s 0.313
2023-01-17 00:43 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.914 s -1.631
2023-01-17 00:40 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.595 s 0.309
2023-01-17 00:41 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.332
2023-01-17 00:41 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.577 s 0.322
2023-01-17 00:38 R dataframe-to-table chi_traffic_2020_Q1, R 4.378 s -1.302
2023-01-17 00:38 R dataframe-to-table type_strings, R 0.534 s 0.356
2023-01-17 00:38 R dataframe-to-table type_integers, R 0.010 s 0.553
2023-01-17 00:50 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.493 s 0.069
2023-01-17 00:39 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.320 s -0.091
2023-01-17 00:41 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.811 s 0.335
2023-01-17 00:56 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.863 s -2.259
2023-01-17 00:59 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.082 s -0.634
2023-01-17 01:00 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.605 s -0.263
2023-01-17 01:01 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.004 s 0.031
2023-01-17 01:03 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.256
2023-01-17 00:44 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.812 s -1.184
2023-01-17 00:52 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.078 s -2.139
2023-01-17 01:00 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.199 s 0.307
2023-01-17 01:02 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.348 s 0.227
2023-01-17 00:45 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.325 s -1.609
2023-01-17 00:53 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.909 s -2.127
2023-01-17 00:59 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.251 s 0.308
2023-01-17 01:05 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.260
2023-01-17 01:05 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.331
2023-01-17 00:48 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.957 s 0.468
2023-01-17 00:49 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.019 s 0.495
2023-01-17 00:51 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.448 s 1.050
2023-01-17 00:54 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.819 s -2.210
2023-01-17 00:56 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.316 s -2.064
2023-01-17 01:00 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.239 s 0.285
2023-01-17 00:47 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.316 s -1.490
2023-01-17 00:59 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.575 s -0.644
2023-01-17 01:01 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.591 s -0.189
2023-01-17 01:03 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.269 s 0.230
2023-01-17 01:03 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.588 s 0.116
2023-01-17 00:59 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.600 s -0.826
2023-01-17 01:02 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.335 s 0.076
2023-01-17 01:02 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.666 s -1.072
2023-01-17 01:03 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s 0.299
2023-01-17 01:06 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.905 s 0.664
2023-01-17 01:06 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.238
2023-01-17 01:06 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.316 s 0.557
2023-01-17 01:00 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.201 s 0.238
2023-01-17 01:00 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.185
2023-01-17 01:01 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.917 s -0.956
2023-01-17 01:04 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.348
2023-01-17 01:06 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.211 s -0.337
2023-01-17 01:06 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s 0.280
2023-01-17 00:57 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.183 s -0.601
2023-01-17 00:58 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s 0.286
2023-01-17 01:01 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.038
2023-01-17 01:06 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.350 s 0.240
2023-01-17 01:07 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.635 s -0.035
2023-01-17 01:09 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.257 s 0.037
2023-01-17 01:02 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.434 s 0.126
2023-01-17 01:03 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.061 s -0.426
2023-01-17 01:03 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.201
2023-01-17 01:04 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.897 s 0.088
2023-01-17 01:04 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.528 s -0.008
2023-01-17 01:00 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.280 s 0.264
2023-01-17 01:04 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.231 s 0.360
2023-01-17 01:10 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.371 s 0.370
2023-01-17 01:11 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.622 s -0.026
2023-01-17 01:12 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.716 s 0.216
2023-01-17 01:13 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.353
2023-01-17 01:15 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.238
2023-01-17 01:16 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.260 s 0.260
2023-01-17 01:02 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.174
2023-01-17 01:09 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.335
2023-01-17 01:12 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.760 s -0.004
2023-01-17 01:18 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.304 s -0.095
2023-01-17 01:20 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.427 s 0.027
2023-01-17 01:21 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.201
2023-01-17 01:25 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.288
2023-01-17 01:26 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.299
2023-01-17 01:27 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.023 s -0.444
2023-01-17 01:29 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.193
2023-01-17 01:02 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.242
2023-01-17 01:03 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.226
2023-01-17 01:05 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s 0.415
2023-01-17 01:07 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.737 s -0.534
2023-01-17 01:08 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.272
2023-01-17 01:10 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.657 s 0.290
2023-01-17 01:11 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.426 s 0.298
2023-01-17 01:13 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.382
2023-01-17 01:13 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.280
2023-01-17 01:14 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.187
2023-01-17 01:16 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.698 s 0.331
2023-01-17 01:16 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.303 s 0.258
2023-01-17 01:17 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.276 s -0.816
2023-01-17 01:22 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.444 s -0.121
2023-01-17 01:05 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.270 s 0.326
2023-01-17 01:07 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.636 s 0.222
2023-01-17 01:08 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.233 s 0.344
2023-01-17 01:10 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.785 s 0.167
2023-01-17 01:19 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.699 s -2.199
2023-01-17 01:20 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.459 s -2.207
2023-01-17 01:21 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.525 s -0.469
2023-01-17 01:22 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.594 s -1.003
2023-01-17 01:24 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.587 s 0.167
2023-01-17 01:25 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.891 s -0.136
2023-01-17 01:26 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.251
2023-01-17 01:27 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.217
2023-01-17 01:28 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.405 s 0.089
2023-01-17 01:08 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.246
2023-01-17 01:11 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.335 s 0.231
2023-01-17 01:11 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.394 s 0.336
2023-01-17 01:13 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.356
2023-01-17 01:14 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.309
2023-01-17 01:15 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.285
2023-01-17 01:18 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.256 s 0.119
2023-01-17 01:18 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.364 s 0.151
2023-01-17 01:18 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.915 s -0.424
2023-01-17 01:19 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.612 s -0.849
2023-01-17 01:25 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.236 s 0.333
2023-01-17 01:06 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.223
2023-01-17 01:08 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s 0.305
2023-01-17 01:13 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s 0.229
2023-01-17 01:14 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.169 s -0.325
2023-01-17 01:16 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.199
2023-01-17 01:18 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.496 s -1.265
2023-01-17 01:19 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s 0.018
2023-01-17 01:26 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.245
2023-01-17 01:28 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.264 s 0.279
2023-01-17 01:28 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.540 s 0.075
2023-01-17 01:30 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.343 s -0.511
2023-01-17 01:09 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.357 s 0.066
2023-01-17 01:09 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.338 s 0.398
2023-01-17 01:12 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.615 s 0.166
2023-01-17 01:16 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.239
2023-01-17 01:17 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.117
2023-01-17 01:19 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.203
2023-01-17 01:21 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.334 s 0.243
2023-01-17 01:23 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.028 s -0.539
2023-01-17 01:23 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s 0.352
2023-01-17 01:23 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.240
2023-01-17 01:25 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s 0.335
2023-01-17 01:26 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.994 s -0.279
2023-01-17 01:30 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.120
2023-01-17 01:33 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.602 s 0.268
2023-01-17 01:34 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.803 s -0.351
2023-01-17 01:37 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.191 s -2.084
2023-01-17 01:08 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.282
2023-01-17 01:08 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.506 s 0.247
2023-01-17 01:13 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.373 s 0.259
2023-01-17 01:15 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.651 s 0.209
2023-01-17 01:16 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.877 s -0.018
2023-01-17 01:17 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.332 s -0.077
2023-01-17 01:20 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s -0.045
2023-01-17 01:23 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.295
2023-01-17 01:23 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.284 s 0.298
2023-01-17 01:24 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.617 s 0.120
2023-01-17 01:24 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.329
2023-01-17 01:34 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.454 s -0.143
2023-01-17 01:34 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.908 s -1.391
2023-01-17 01:35 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.192 s -1.728
2023-01-17 01:40 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.454 s 0.130
2023-01-17 01:40 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.309 s 0.160
2023-01-17 01:09 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.291 s 0.383
2023-01-17 01:10 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.351 s 0.257
2023-01-17 01:11 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.286
2023-01-17 01:11 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.232
2023-01-17 01:15 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.128
2023-01-17 01:21 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.207
2023-01-17 01:22 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.937 s 0.065
2023-01-17 01:23 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.209 s 0.305
2023-01-17 01:29 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.478 s -0.993
2023-01-17 01:30 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.247
2023-01-17 01:32 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.166
2023-01-17 01:14 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.959 s 0.053
2023-01-17 01:17 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.542 s -0.026
2023-01-17 01:17 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.870 s -0.122
2023-01-17 01:21 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.265 s 0.322
2023-01-17 01:24 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.596 s -0.182
2023-01-17 01:26 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.097 s 0.009
2023-01-17 01:30 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.895 s -0.922
2023-01-17 01:40 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.349 s -0.313
2023-01-17 01:20 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.613 s -0.926
2023-01-17 01:20 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.864 s -0.185
2023-01-17 01:28 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.328
2023-01-17 01:39 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.261
2023-01-17 01:25 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.325 s 0.235
2023-01-17 01:25 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.524 s 0.288
2023-01-17 01:29 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.317 s -0.396
2023-01-17 01:30 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s -0.073
2023-01-17 01:33 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.114 s -0.269
2023-01-17 01:34 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.743 s -1.603
2023-01-17 01:26 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.304
2023-01-17 01:26 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.267 s 0.291
2023-01-17 01:28 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.320
2023-01-17 01:28 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.274
2023-01-17 01:32 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.096
2023-01-17 01:32 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.965 s 0.115
2023-01-17 01:32 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.369 s 0.235
2023-01-17 01:32 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.087
2023-01-17 01:39 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.322 s -2.447
2023-01-17 01:39 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.250
2023-01-17 01:48 JavaScript Iterate Vector string 0.128 s -0.849
2023-01-17 01:31 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.684 s -2.167
2023-01-17 01:32 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.457 s -1.574
2023-01-17 01:32 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.185
2023-01-17 01:39 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.199 s 0.099
2023-01-17 01:49 JavaScript Spread Vector float32Array 0.008 s 1.285
2023-01-17 01:33 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.394 s 0.143
2023-01-17 01:39 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.283
2023-01-17 01:39 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.230
2023-01-17 01:48 JavaScript vectorFromArray booleans 0.018 s -0.631
2023-01-17 01:49 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.007
2023-01-17 01:49 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -4.024
2023-01-17 01:48 JavaScript vectorFromArray numbers 0.017 s -0.676
2023-01-17 01:48 JavaScript vectorFromArray dictionary 0.017 s -0.304
2023-01-17 01:49 JavaScript toArray Vector float64Array
2023-01-17 01:49 JavaScript toArray Vector dictionary 0.010 s 0.197
2023-01-17 01:49 JavaScript get Vector uint8Array 0.003 s 0.074
2023-01-17 01:48 JavaScript Iterate Vector int16Array 0.002 s 1.024
2023-01-17 01:48 JavaScript Iterate Vector int64Array 0.004 s 0.140
2023-01-17 01:48 JavaScript Iterate Vector float64Array 0.002 s 0.751
2023-01-17 01:48 JavaScript Iterate Vector uint64Array 0.004 s 0.138
2023-01-17 01:48 JavaScript Spread Vector uint64Array 0.012 s 0.126
2023-01-17 01:49 JavaScript Spread Vector float64Array 0.008 s 0.322
2023-01-17 01:48 JavaScript Iterate Vector uint8Array 0.002 s 1.690
2023-01-17 01:48 JavaScript Iterate Vector int8Array 0.002 s 2.007
2023-01-17 01:48 JavaScript Iterate Vector numbers 0.002 s 0.783
2023-01-17 01:48 JavaScript Spread Vector uint16Array 0.006 s 0.153
2023-01-17 01:48 JavaScript Iterate Vector uint16Array 0.002 s 0.779
2023-01-17 01:49 JavaScript Spread Vector int64Array 0.012 s 0.182
2023-01-17 01:49 JavaScript get Vector int8Array 0.003 s 0.083
2023-01-17 01:49 JavaScript get Vector float32Array 0.002 s 1.016
2023-01-17 01:49 JavaScript get Vector numbers 0.002 s -1.192
2023-01-17 01:49 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.503
2023-01-17 01:48 JavaScript Iterate Vector uint32Array 0.002 s 0.567
2023-01-17 01:49 JavaScript toArray Vector float32Array
2023-01-17 01:49 JavaScript toArray Vector numbers
2023-01-17 01:49 JavaScript get Vector float64Array 0.002 s 0.327
2023-01-17 01:49 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-17 01:48 JavaScript Iterate Vector int32Array 0.002 s 0.975
2023-01-17 01:49 JavaScript get Vector uint16Array 0.003 s 0.055
2023-01-17 01:49 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.234
2023-01-17 01:48 JavaScript Iterate Vector float32Array 0.002 s 0.892
2023-01-17 01:49 JavaScript toArray Vector int32Array
2023-01-17 01:49 JavaScript get Vector int16Array 0.003 s 0.082
2023-01-17 01:49 JavaScript get Vector int64Array 0.003 s -0.037
2023-01-17 01:49 JavaScript get Vector string 0.126 s -0.995
2023-01-17 01:48 JavaScript Iterate Vector booleans 0.004 s 0.279
2023-01-17 01:49 JavaScript Spread Vector string 0.146 s -0.266
2023-01-17 01:49 JavaScript toArray Vector uint16Array
2023-01-17 01:49 JavaScript toArray Vector uint64Array
2023-01-17 01:49 JavaScript toArray Vector int16Array
2023-01-17 01:48 JavaScript Iterate Vector dictionary 0.004 s 0.384
2023-01-17 01:48 JavaScript Spread Vector uint8Array 0.007 s -0.094
2023-01-17 01:48 JavaScript Spread Vector uint32Array 0.007 s 0.237
2023-01-17 01:48 JavaScript Spread Vector int8Array 0.006 s 0.448
2023-01-17 01:49 JavaScript Spread Vector int32Array 0.006 s 0.336
2023-01-17 01:48 JavaScript Spread Vector int16Array 0.007 s 0.054
2023-01-17 01:49 JavaScript toArray Vector int64Array
2023-01-17 01:49 JavaScript get Vector uint32Array 0.003 s 0.019
2023-01-17 01:49 JavaScript get Vector int32Array 0.003 s 0.060
2023-01-17 01:49 JavaScript Parse read recordBatches, tracks 0.000 s -2.676
2023-01-17 01:49 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 1.361
2023-01-17 01:49 JavaScript Spread Vector numbers 0.008 s 1.174
2023-01-17 01:49 JavaScript toArray Vector int8Array
2023-01-17 01:49 JavaScript toArray Vector string 0.147 s -0.656
2023-01-17 01:49 JavaScript get Vector uint64Array 0.003 s -0.101
2023-01-17 01:49 JavaScript get Vector booleans 0.002 s 0.694
2023-01-17 01:49 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.644
2023-01-17 01:49 JavaScript Spread Vector booleans 0.010 s 0.505
2023-01-17 01:49 JavaScript toArray Vector booleans 0.010 s 0.495
2023-01-17 01:49 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.205
2023-01-17 01:49 JavaScript Table tracks, 1,000,000 0.050 s -0.297
2023-01-17 01:49 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.616
2023-01-17 01:49 JavaScript Spread Vector dictionary 0.010 s 0.463
2023-01-17 01:49 JavaScript toArray Vector uint8Array
2023-01-17 01:49 JavaScript toArray Vector uint32Array
2023-01-17 01:49 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.231
2023-01-17 01:49 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.483
2023-01-17 01:49 JavaScript get Vector dictionary 0.002 s -0.914
2023-01-17 01:49 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.686
2023-01-17 01:49 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 1.235
2023-01-17 01:49 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.175
2023-01-17 01:49 JavaScript Table 1,000,000, tracks 0.254 s 0.939
2023-01-17 01:49 JavaScript Parse write recordBatches, tracks 0.002 s -1.678
2023-01-17 01:49 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.652
2023-01-17 01:49 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.583
2023-01-17 01:49 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.696
2023-01-17 01:49 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-17 01:49 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.185 s 1.158
2023-01-17 01:49 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.052
2023-01-17 01:49 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-17 01:49 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-17 01:49 JavaScript Table tracks, 1,000,000 0.308 s -1.987
2023-01-17 01:49 JavaScript Table tracks, 1,000,000 0.095 s -0.025
2023-01-17 01:49 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.505