Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-14 08:08 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.220 s 0.423
2023-01-14 08:10 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.498 s 0.533
2023-01-14 08:08 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.783 s -0.010
2023-01-14 08:09 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.429 s 0.857
2023-01-14 08:10 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.437 s 0.082
2023-01-14 08:10 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.133 s 0.101
2023-01-14 08:11 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.327 s -0.635
2023-01-14 08:12 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.350 s -0.814
2023-01-14 08:14 Python dataframe-to-table type_floats 0.010 s 0.133
2023-01-14 08:13 Python dataframe-to-table chi_traffic_2020_Q1 21.088 s 0.413
2023-01-14 08:14 Python dataframe-to-table type_strings 0.425 s 0.971
2023-01-14 08:14 Python dataframe-to-table type_dict 0.011 s 0.744
2023-01-14 08:14 Python dataframe-to-table type_integers 0.010 s -2.193
2023-01-14 08:14 Python dataset-filter nyctaxi_2010-01 1.028 s -0.457
2023-01-14 08:14 Python dataframe-to-table type_nested 2.962 s 0.650
2023-01-14 08:18 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 75.667 s 0.612
2023-01-14 08:22 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.212 s 0.436
2023-01-14 08:33 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.166 s 0.227
2023-01-14 08:33 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.192 s 0.293
2023-01-14 08:33 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.289 s 0.188
2023-01-14 08:34 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.674 s 0.184
2023-01-14 08:33 Python dataset-read async=True, nyctaxi_multi_ipc_s3 217.224 s 0.995
2023-01-14 08:33 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.311 s 0.112
2023-01-14 08:33 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.043 s 0.240
2023-01-14 08:34 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.173 s -0.729
2023-01-14 08:34 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.137 s -0.212
2023-01-14 08:34 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -2.235
2023-01-14 08:34 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 1.329
2023-01-14 08:34 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.047 s 0.211
2023-01-14 08:34 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.209 s -0.422
2023-01-14 08:34 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.759 s -0.029
2023-01-14 08:34 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.098
2023-01-14 08:35 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.308
2023-01-14 08:35 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.640
2023-01-14 08:35 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.935 s -3.007
2023-01-14 08:35 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.542 s 0.072
2023-01-14 08:39 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.154 s -1.262
2023-01-14 08:39 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.345 s -3.455
2023-01-14 08:39 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.433
2023-01-14 08:47 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.288 s -2.887
2023-01-14 08:47 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.027 s -1.917
2023-01-14 08:48 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.604
2023-01-14 08:47 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.103
2023-01-14 08:47 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.152 s 0.060
2023-01-14 08:47 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.868 s 0.108
2023-01-14 08:47 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.051 s -3.117
2023-01-14 08:47 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.361
2023-01-14 09:07 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.371 s -0.158
2023-01-14 09:01 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.495 s 0.101
2023-01-14 09:03 Python file-read lz4, feather, table, nyctaxi_2010-01 0.674 s 0.316
2023-01-14 09:03 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.991 s -0.147
2023-01-14 09:03 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.593 s 0.289
2023-01-14 08:48 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.711 s -0.014
2023-01-14 09:01 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.627 s 0.024
2023-01-14 09:02 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.621 s 0.398
2023-01-14 09:02 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.213 s 0.590
2023-01-14 08:52 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.411 s -0.426
2023-01-14 09:02 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.499 s -0.171
2023-01-14 09:03 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.332 s 0.299
2023-01-14 09:04 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.666 s -1.655
2023-01-14 09:03 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.926 s 0.121
2023-01-14 09:03 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.941 s 0.300
2023-01-14 09:08 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.325 s -0.155
2023-01-14 09:08 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.918 s 0.149
2023-01-14 09:09 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.373 s -0.996
2023-01-14 09:01 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.471 s -0.022
2023-01-14 09:03 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.926 s 0.115
2023-01-14 09:09 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.882 s -0.813
2023-01-14 09:10 Python file-write lz4, feather, table, nyctaxi_2010-01 1.802 s -0.084
2023-01-14 09:02 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.312 s 0.358
2023-01-14 09:02 Python file-read lz4, feather, table, fanniemae_2016Q4 0.810 s 0.401
2023-01-14 09:03 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.983 s -0.078
2023-01-14 09:05 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.881 s -2.159
2023-01-14 08:52 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.949 s -3.230
2023-01-14 08:52 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.409 s -0.783
2023-01-14 09:01 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.653 s -0.046
2023-01-14 09:05 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.246 s -1.395
2023-01-14 09:09 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.761 s -0.979
2023-01-14 09:11 Python wide-dataframe use_legacy_dataset=false 0.507 s 1.021
2023-01-14 09:08 Python file-write lz4, feather, table, fanniemae_2016Q4 1.889 s -0.384
2023-01-14 09:21 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.584 s -0.593
2023-01-14 09:22 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.841 s 0.289
2023-01-14 09:06 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.402 s -1.435
2023-01-14 09:10 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.810 s -0.391
2023-01-14 09:20 R dataframe-to-table type_dict, R 0.046 s 1.510
2023-01-14 09:20 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.318 s -0.013
2023-01-14 09:23 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.814 s 0.327
2023-01-14 09:23 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.903 s 0.267
2023-01-14 09:10 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.151 s -0.122
2023-01-14 09:11 Python wide-dataframe use_legacy_dataset=true 0.378 s 0.083
2023-01-14 09:21 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.321 s -0.240
2023-01-14 09:22 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s 0.345
2023-01-14 09:26 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.823 s -2.125
2023-01-14 09:10 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.254 s -0.956
2023-01-14 09:11 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.190 s 0.067
2023-01-14 09:20 R dataframe-to-table type_floats, R 0.013 s 0.671
2023-01-14 09:22 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.568 s -0.357
2023-01-14 09:21 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.571 s -0.135
2023-01-14 09:21 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.564 s 0.276
2023-01-14 09:20 R dataframe-to-table type_strings, R 0.533 s 0.414
2023-01-14 09:21 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.313 s 0.236
2023-01-14 09:22 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.565 s -0.224
2023-01-14 09:20 R dataframe-to-table type_integers, R 0.010 s 0.097
2023-01-14 09:24 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.858 s -2.301
2023-01-14 09:31 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.494 s -0.450
2023-01-14 09:19 R dataframe-to-table chi_traffic_2020_Q1, R 4.347 s -1.195
2023-01-14 09:20 R dataframe-to-table type_nested, R 0.575 s -0.579
2023-01-14 09:22 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.920 s -0.400
2023-01-14 09:22 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.589 s 0.338
2023-01-14 09:23 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s 0.280
2023-01-14 09:34 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.981 s -1.643
2023-01-14 09:22 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.916 s -0.267
2023-01-14 09:35 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.807 s -1.640
2023-01-14 09:36 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.714 s -1.616
2023-01-14 09:38 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.314 s -1.258
2023-01-14 09:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.299 s -6.629
2023-01-14 09:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.293 s -2.546
2023-01-14 09:29 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.280 s -2.125
2023-01-14 09:41 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.250 s 0.286
2023-01-14 09:39 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.254
2023-01-14 09:41 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.595 s -0.915
2023-01-14 09:31 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.078 s -0.802
2023-01-14 09:27 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.277 s -2.299
2023-01-14 09:29 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.962 s -0.472
2023-01-14 09:41 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.566 s -0.310
2023-01-14 09:41 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.300 s -2.211
2023-01-14 09:43 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.004 s 0.068
2023-01-14 09:33 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.508 s -0.199
2023-01-14 09:39 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.184 s -0.769
2023-01-14 09:43 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.278 s 0.136
2023-01-14 09:37 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.759 s -1.587
2023-01-14 09:40 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.082 s -0.710
2023-01-14 09:41 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.192
2023-01-14 09:41 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.606 s -0.753
2023-01-14 09:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.463 s -8.273
2023-01-14 09:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.581 s 0.221
2023-01-14 09:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.332 s 0.405
2023-01-14 09:43 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.788 s -0.178
2023-01-14 09:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.644 s 0.819
2023-01-14 09:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.346 s 0.287
2023-01-14 09:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.432 s 0.159
2023-01-14 09:43 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.125
2023-01-14 09:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.037 s 0.331
2023-01-14 09:44 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.227 s 0.203
2023-01-14 09:43 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.156
2023-01-14 09:45 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.580 s 0.248
2023-01-14 09:45 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.218
2023-01-14 09:44 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.268 s 0.251
2023-01-14 09:45 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.300 s 0.296
2023-01-14 09:45 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.297 s 0.451
2023-01-14 09:46 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.880 s 1.153
2023-01-14 09:46 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.222
2023-01-14 09:46 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.462 s 0.291
2023-01-14 09:46 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.263
2023-01-14 09:46 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.199 s 0.221
2023-01-14 09:46 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.238
2023-01-14 09:47 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.268 s 0.397
2023-01-14 09:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.325 s 0.392
2023-01-14 09:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.173 s 0.349
2023-01-14 09:47 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.897 s 0.982
2023-01-14 09:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.312 s 0.286
2023-01-14 09:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.201
2023-01-14 09:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.230
2023-01-14 09:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.349 s 0.257
2023-01-14 09:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.317 s 0.400
2023-01-14 09:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.637 s 0.111
2023-01-14 09:49 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.193
2023-01-14 09:49 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.159 s 0.288
2023-01-14 09:49 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s -0.088
2023-01-14 09:49 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.699 s -0.462
2023-01-14 09:50 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.177 s 0.339
2023-01-14 09:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s 0.402
2023-01-14 09:49 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s 0.283
2023-01-14 09:51 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.231
2023-01-14 09:51 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.349 s 0.263
2023-01-14 09:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.503 s 0.273
2023-01-14 09:50 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s 0.347
2023-01-14 09:51 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.243 s -0.055
2023-01-14 09:51 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.292 s 0.255
2023-01-14 09:51 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.337 s 0.345
2023-01-14 09:51 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.371 s 0.316
2023-01-14 09:52 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.658 s 0.148
2023-01-14 09:52 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.775 s 0.487
2023-01-14 09:52 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.173
2023-01-14 09:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.392 s 0.249
2023-01-14 09:52 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.555 s 0.204
2023-01-14 09:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.337 s 0.286
2023-01-14 09:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.426 s 0.233
2023-01-14 09:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.714 s 0.140
2023-01-14 09:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.369 s 0.195
2023-01-14 09:54 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.654 s -2.833
2023-01-14 09:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.347 s -3.253
2023-01-14 09:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.267
2023-01-14 09:54 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 4.181 s -3.798
2023-01-14 09:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.355 s -0.566
2023-01-14 09:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.370 s 0.246
2023-01-14 09:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.175
2023-01-14 09:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.763 s 0.338
2023-01-14 09:56 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.949 s 0.547
2023-01-14 09:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.652 s 0.074
2023-01-14 09:56 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.075 s 0.193
2023-01-14 09:56 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.179
2023-01-14 09:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.258 s 0.216
2023-01-14 09:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.334 s 0.288
2023-01-14 09:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.297 s 0.332
2023-01-14 09:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.320 s 0.267
2023-01-14 09:58 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.260 s 0.254
2023-01-14 09:58 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.139
2023-01-14 09:58 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.158
2023-01-14 09:58 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.710 s 0.039
2023-01-14 09:58 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.876 s 0.307
2023-01-14 09:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.330 s 0.039
2023-01-14 10:00 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.304 s -0.242
2023-01-14 09:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.152 s 0.324
2023-01-14 09:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.303 s 0.201
2023-01-14 09:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.861 s 0.514
2023-01-14 09:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.529 s 0.323
2023-01-14 09:59 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.072
2023-01-14 10:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.251 s 0.338
2023-01-14 10:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.359 s 0.366
2023-01-14 10:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.861 s 0.370
2023-01-14 10:00 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.478 s -0.438
2023-01-14 10:01 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.549 s -1.676
2023-01-14 10:01 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.135
2023-01-14 10:01 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.067 s 0.553
2023-01-14 10:02 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.425 s -0.122
2023-01-14 10:02 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.236 s 0.037
2023-01-14 10:03 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.215 s 0.039
2023-01-14 10:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.210 s 0.247
2023-01-14 10:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.329 s 0.136
2023-01-14 10:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.588 s 0.295
2023-01-14 10:03 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.520 s -1.042
2023-01-14 10:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.268
2023-01-14 10:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 0.363
2023-01-14 10:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.441 s -0.168
2023-01-14 10:03 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.264 s 0.217
2023-01-14 10:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.236 s 0.298
2023-01-14 10:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.220 s 0.278
2023-01-14 10:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.307
2023-01-14 10:16 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s -0.089
2023-01-14 10:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.224
2023-01-14 10:05 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.250 s 0.312
2023-01-14 10:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.520 s 0.349
2023-01-14 10:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.439 s 0.304
2023-01-14 10:14 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.153
2023-01-14 10:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.946 s 0.415
2023-01-14 10:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.394 s 0.030
2023-01-14 10:02 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.863 s -0.737
2023-01-14 10:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.349
2023-01-14 10:08 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.266 s 0.257
2023-01-14 10:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.332 s -3.816
2023-01-14 10:03 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.308 s -0.505
2023-01-14 10:05 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.283 s 0.260
2023-01-14 10:06 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.610 s 0.346
2023-01-14 10:03 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.333 s 0.186
2023-01-14 10:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.500 s 0.864
2023-01-14 10:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.572 s -0.221
2023-01-14 10:06 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.270
2023-01-14 10:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.130
2023-01-14 10:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.197 s 0.170
2023-01-14 10:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.225 s 0.304
2023-01-14 10:23 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.267 s 0.437
2023-01-14 10:03 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.105
2023-01-14 10:04 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.919 s 0.287
2023-01-14 10:05 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.691 s 0.546
2023-01-14 10:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.865 s 1.109
2023-01-14 10:08 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.030 s 0.435
2023-01-14 10:09 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.117 s -3.073
2023-01-14 10:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.272
2023-01-14 10:13 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.317 s 0.218
2023-01-14 10:17 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.792 s -0.009
2023-01-14 10:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.240 s 0.254
2023-01-14 10:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.584 s 0.118
2023-01-14 10:14 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s 0.240
2023-01-14 10:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.182
2023-01-14 10:20 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.710 s 0.977
2023-01-14 10:08 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.418 s -3.127
2023-01-14 10:10 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.594 s 0.636
2023-01-14 10:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.207 s 0.306
2023-01-14 10:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 0.244
2023-01-14 10:14 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.608 s 0.159
2023-01-14 10:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.600 s 0.411
2023-01-14 10:17 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.855 s 1.042
2023-01-14 10:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.258 s 0.270
2023-01-14 10:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.215
2023-01-14 10:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.251
2023-01-14 10:11 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.537 s -0.004
2023-01-14 10:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.447 s 0.313
2023-01-14 10:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.222 s 0.093
2023-01-14 10:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.664 s 0.137
2023-01-14 10:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.262 s 0.281
2023-01-14 10:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.271 s 0.153
2023-01-14 10:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.323 s 0.329
2023-01-14 10:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.436 s 0.300
2023-01-14 10:17 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.126 s -0.560
2023-01-14 10:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.306 s 0.291
2023-01-14 10:11 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.486 s -1.298
2023-01-14 10:12 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.550 s -5.352
2023-01-14 10:13 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.883 s 0.335
2023-01-14 10:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.371 s 0.207
2023-01-14 10:16 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.098 s -0.505
2023-01-14 10:14 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.189 s 0.576
2023-01-14 10:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.725 s 0.400
2023-01-14 10:21 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.575 s -0.212
2023-01-14 10:31 JavaScript vectorFromArray booleans 0.018 s 0.201
2023-01-14 10:31 JavaScript Iterate Vector string 0.123 s 1.866
2023-01-14 10:31 JavaScript Iterate Vector int64Array 0.004 s 0.215
2023-01-14 10:31 JavaScript Iterate Vector float64Array 0.002 s 0.744
2023-01-14 10:31 JavaScript Iterate Vector booleans 0.004 s 0.883
2023-01-14 10:31 JavaScript Iterate Vector uint32Array 0.002 s 0.120
2023-01-14 10:31 JavaScript Iterate Vector int8Array 0.002 s 0.682
2023-01-14 10:31 JavaScript vectorFromArray dictionary 0.017 s -1.106
2023-01-14 10:31 JavaScript toArray Vector string 0.142 s 1.874
2023-01-14 10:31 JavaScript vectorFromArray numbers 0.016 s 0.261
2023-01-14 10:31 JavaScript Iterate Vector uint16Array 0.002 s -0.098
2023-01-14 10:31 JavaScript Spread Vector booleans 0.010 s 1.030
2023-01-14 10:31 JavaScript Iterate Vector numbers 0.002 s 0.733
2023-01-14 10:31 JavaScript toArray Vector uint32Array
2023-01-14 10:31 JavaScript get Vector numbers 0.002 s -1.060
2023-01-14 10:31 JavaScript Iterate Vector uint8Array 0.002 s 0.440
2023-01-14 10:31 JavaScript Spread Vector uint8Array 0.006 s 0.547
2023-01-14 10:31 JavaScript Spread Vector dictionary 0.010 s 1.643
2023-01-14 10:31 JavaScript toArray Vector uint8Array
2023-01-14 10:31 JavaScript toArray Vector int8Array
2023-01-14 10:31 JavaScript toArray Vector int32Array
2023-01-14 10:31 JavaScript Iterate Vector uint64Array 0.004 s 0.159
2023-01-14 10:31 JavaScript Iterate Vector int16Array 0.002 s 0.694
2023-01-14 10:31 JavaScript toArray Vector int16Array
2023-01-14 10:31 JavaScript toArray Vector int64Array
2023-01-14 10:31 JavaScript toArray Vector booleans 0.010 s 1.370
2023-01-14 10:31 JavaScript get Vector int16Array 0.003 s 0.268
2023-01-14 10:31 JavaScript Iterate Vector int32Array 0.002 s 0.731
2023-01-14 10:31 JavaScript Spread Vector uint32Array 0.007 s 0.356
2023-01-14 10:31 JavaScript get Vector int8Array 0.003 s 0.158
2023-01-14 10:31 JavaScript get Vector int32Array 0.003 s 0.235
2023-01-14 10:31 JavaScript Parse read recordBatches, tracks 0.000 s -0.056
2023-01-14 10:31 JavaScript Iterate Vector float32Array 0.002 s 0.869
2023-01-14 10:31 JavaScript Iterate Vector dictionary 0.004 s 0.268
2023-01-14 10:31 JavaScript Spread Vector int8Array 0.006 s 0.235
2023-01-14 10:31 JavaScript Spread Vector int32Array 0.007 s -0.091
2023-01-14 10:31 JavaScript Spread Vector float32Array 0.008 s 0.111
2023-01-14 10:31 JavaScript Spread Vector uint16Array 0.006 s 0.578
2023-01-14 10:31 JavaScript Spread Vector uint64Array 0.012 s 0.547
2023-01-14 10:31 JavaScript Spread Vector int64Array 0.012 s 0.571
2023-01-14 10:31 JavaScript Spread Vector float64Array 0.008 s 0.513
2023-01-14 10:31 JavaScript toArray Vector float64Array
2023-01-14 10:31 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -4.580
2023-01-14 10:31 JavaScript Spread Vector int16Array 0.006 s 0.588
2023-01-14 10:31 JavaScript Spread Vector string 0.143 s 1.720
2023-01-14 10:31 JavaScript toArray Vector uint16Array
2023-01-14 10:31 JavaScript toArray Vector uint64Array
2023-01-14 10:31 JavaScript get Vector string 0.125 s 0.004
2023-01-14 10:31 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -1.001
2023-01-14 10:31 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.045
2023-01-14 10:31 JavaScript Spread Vector numbers 0.008 s 0.627
2023-01-14 10:31 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.386
2023-01-14 10:31 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.130
2023-01-14 10:31 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.563
2023-01-14 10:31 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-14 10:31 JavaScript toArray Vector float32Array
2023-01-14 10:31 JavaScript toArray Vector numbers
2023-01-14 10:31 JavaScript toArray Vector dictionary 0.010 s 1.575
2023-01-14 10:31 JavaScript get Vector uint8Array 0.003 s 0.252
2023-01-14 10:31 JavaScript get Vector uint32Array 0.003 s 0.180
2023-01-14 10:31 JavaScript get Vector float32Array 0.002 s -1.992
2023-01-14 10:31 JavaScript get Vector uint16Array 0.003 s 0.204
2023-01-14 10:31 JavaScript get Vector uint64Array 0.003 s 0.129
2023-01-14 10:31 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.386
2023-01-14 10:31 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -1.321
2023-01-14 10:31 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-14 10:31 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.586
2023-01-14 10:31 JavaScript get Vector int64Array 0.003 s 0.121
2023-01-14 10:31 JavaScript Parse write recordBatches, tracks 0.002 s -3.385
2023-01-14 10:31 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.157
2023-01-14 10:31 JavaScript get Vector float64Array 0.002 s 0.415
2023-01-14 10:31 JavaScript get Vector booleans 0.002 s 0.296
2023-01-14 10:31 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.066
2023-01-14 10:31 JavaScript get Vector dictionary 0.002 s -0.943
2023-01-14 10:31 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.267
2023-01-14 10:31 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 10:31 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.150
2023-01-14 10:31 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.050
2023-01-14 10:31 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 10:31 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s 0.492
2023-01-14 10:31 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.188 s -0.056
2023-01-14 10:31 JavaScript Table tracks, 1,000,000 0.257 s 0.672
2023-01-14 10:31 JavaScript Table tracks, 1,000,000 0.096 s -1.233
2023-01-14 10:31 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.415
2023-01-14 10:31 JavaScript Table tracks, 1,000,000 0.050 s -0.923
2023-01-14 10:31 JavaScript Table 1,000,000, tracks 0.245 s 1.289
2023-01-14 10:31 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.144
2023-01-14 10:31 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.311