Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-19 07:49 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.770 s 0.995
2023-01-19 07:49 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.227 s 0.356
2023-01-19 07:51 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.138 s 0.051
2023-01-19 07:54 Python dataframe-to-table type_strings 0.429 s -0.600
2023-01-19 07:54 Python dataframe-to-table type_floats 0.010 s 0.230
2023-01-19 07:51 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.140 s 1.652
2023-01-19 07:50 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.236 s 1.483
2023-01-19 07:51 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.439 s -0.153
2023-01-19 07:52 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.416 s -0.949
2023-01-19 07:54 Python dataframe-to-table type_dict 0.012 s -2.311
2023-01-19 07:55 Python dataset-filter nyctaxi_2010-01 1.022 s -0.131
2023-01-19 07:58 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 66.214 s 1.585
2023-01-19 07:52 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.345 s -0.927
2023-01-19 07:54 Python dataframe-to-table chi_traffic_2020_Q1 20.851 s 1.585
2023-01-19 07:54 Python dataframe-to-table type_integers 0.010 s 1.345
2023-01-19 08:02 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 84.817 s -0.382
2023-01-19 07:55 Python dataframe-to-table type_nested 2.954 s 0.689
2023-01-19 08:13 Python dataset-read async=True, nyctaxi_multi_ipc_s3 221.720 s 0.216
2023-01-19 08:14 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.212 s 0.031
2023-01-19 08:14 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.219 s 0.189
2023-01-19 08:14 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.291 s 0.296
2023-01-19 08:14 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.417 s -0.524
2023-01-19 08:14 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.047 s 0.256
2023-01-19 08:14 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.661 s 0.277
2023-01-19 08:14 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.165 s -0.003
2023-01-19 08:14 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.028 s 0.299
2023-01-19 08:14 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.195 s 0.298
2023-01-19 08:15 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.119 s 0.585
2023-01-19 08:15 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -1.385
2023-01-19 08:15 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.139
2023-01-19 08:15 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.179
2023-01-19 08:15 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.736 s 2.493
2023-01-19 08:15 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.146
2023-01-19 08:15 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.494
2023-01-19 08:15 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.941 s -1.479
2023-01-19 08:16 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.315 s 2.461
2023-01-19 08:19 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.068
2023-01-19 08:19 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.397 s -1.504
2023-01-19 08:20 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.151 s 0.144
2023-01-19 08:27 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.875 s 2.447
2023-01-19 08:27 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.153
2023-01-19 08:27 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.181
2023-01-19 08:27 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.289 s -1.421
2023-01-19 08:27 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.843 s 2.297
2023-01-19 08:28 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s 0.190
2023-01-19 08:28 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.071 s -1.566
2023-01-19 08:28 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s 1.095
2023-01-19 08:29 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.461 s 2.295
2023-01-19 08:32 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.117 s -1.516
2023-01-19 08:33 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.405 s 1.502
2023-01-19 08:32 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.405 s 0.685
2023-01-19 08:41 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.619 s 0.148
2023-01-19 08:48 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.266 s -0.169
2023-01-19 08:51 Python wide-dataframe use_legacy_dataset=false 0.509 s 0.828
2023-01-19 08:41 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.946 s 2.309
2023-01-19 08:43 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.969 s 0.191
2023-01-19 08:43 Python file-read lz4, feather, table, nyctaxi_2010-01 0.678 s 0.230
2023-01-19 08:45 Python file-write snappy, parquet, table, fanniemae_2016Q4 11.002 s -1.307
2023-01-19 08:47 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.545 s -1.373
2023-01-19 08:42 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.502 s -0.292
2023-01-19 08:43 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.938 s -0.046
2023-01-19 08:44 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.768 s -1.247
2023-01-19 08:48 Python file-write lz4, feather, table, fanniemae_2016Q4 1.877 s -0.206
2023-01-19 08:50 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.785 s -0.286
2023-01-19 08:41 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.637 s 0.143
2023-01-19 08:42 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.496 s 0.027
2023-01-19 08:42 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.323 s 0.257
2023-01-19 08:42 Python file-read lz4, feather, table, fanniemae_2016Q4 0.825 s -0.055
2023-01-19 08:43 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.944 s -0.184
2023-01-19 08:43 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.931 s 0.298
2023-01-19 08:42 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.720 s -0.019
2023-01-19 08:43 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.576 s 0.357
2023-01-19 08:48 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.927 s -0.291
2023-01-19 08:49 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.408 s -0.668
2023-01-19 08:50 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.133 s -0.092
2023-01-19 08:51 Python file-write lz4, feather, table, nyctaxi_2010-01 1.787 s -0.058
2023-01-19 08:50 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.810 s -0.663
2023-01-19 08:43 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.341 s 0.193
2023-01-19 08:47 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.369 s -0.191
2023-01-19 08:50 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.316 s -0.799
2023-01-19 08:51 Python wide-dataframe use_legacy_dataset=true 0.378 s 0.127
2023-01-19 08:43 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.300 s -2.436
2023-01-19 08:43 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.966 s 0.170
2023-01-19 08:45 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.358 s -1.283
2023-01-19 08:49 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.896 s -0.413
2023-01-19 08:51 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.198 s -0.055
2023-01-19 09:00 R dataframe-to-table type_nested, R 0.590 s -5.967
2023-01-19 09:00 R dataframe-to-table type_floats, R 0.013 s 0.367
2023-01-19 09:00 R dataframe-to-table type_dict, R 0.065 s -1.151
2023-01-19 08:59 R dataframe-to-table chi_traffic_2020_Q1, R 4.383 s -0.935
2023-01-19 08:59 R dataframe-to-table type_strings, R 0.535 s 0.046
2023-01-19 09:00 R dataframe-to-table type_integers, R 0.010 s 0.481
2023-01-19 09:00 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.323 s -0.676
2023-01-19 09:01 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.587 s -0.922
2023-01-19 09:01 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.582 s -0.869
2023-01-19 09:01 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.334 s -1.074
2023-01-19 09:01 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.604 s 0.195
2023-01-19 09:01 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.571 s 0.213
2023-01-19 09:02 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.568 s -0.274
2023-01-19 09:01 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.313 s 0.229
2023-01-19 09:02 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.856 s 0.205
2023-01-19 09:02 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.910 s -0.107
2023-01-19 09:02 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.915 s -0.233
2023-01-19 09:02 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.570 s -0.370
2023-01-19 09:03 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.227
2023-01-19 09:02 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.229
2023-01-19 09:03 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.819 s 0.243
2023-01-19 09:03 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.894 s 0.249
2023-01-19 09:04 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.965 s -1.301
2023-01-19 09:06 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.905 s -1.227
2023-01-19 09:07 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.378 s -1.302
2023-01-19 09:09 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.384 s -1.332
2023-01-19 09:09 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.953 s 1.195
2023-01-19 09:11 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.006 s 0.688
2023-01-19 09:11 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.252
2023-01-19 09:14 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.003 s -0.673
2023-01-19 09:13 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.470 s 0.487
2023-01-19 09:15 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.816 s -0.575
2023-01-19 09:16 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.728 s -0.595
2023-01-19 09:17 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.769 s -0.555
2023-01-19 09:18 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.311 s -0.291
2023-01-19 09:19 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.171 s -0.157
2023-01-19 09:20 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.081 s -0.556
2023-01-19 09:19 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.470 s 0.452
2023-01-19 09:21 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.562 s 0.016
2023-01-19 09:21 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.253 s -0.168
2023-01-19 09:21 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.201 s 0.148
2023-01-19 09:21 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.594 s -0.745
2023-01-19 09:21 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.602 s -0.119
2023-01-19 09:22 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.589 s -0.125
2023-01-19 09:22 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.150
2023-01-19 09:21 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.241 s 0.180
2023-01-19 09:21 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.201 s 0.181
2023-01-19 09:22 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.144
2023-01-19 09:23 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.335 s -0.044
2023-01-19 09:22 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.004 s -0.014
2023-01-19 09:23 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.281 s -1.488
2023-01-19 09:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 4.044 s -1.769
2023-01-19 09:23 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.290 s 0.076
2023-01-19 09:23 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.109
2023-01-19 09:24 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s 0.301
2023-01-19 09:25 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.589 s 0.111
2023-01-19 09:23 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.170
2023-01-19 09:24 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.665 s -0.595
2023-01-19 09:24 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.189
2023-01-19 09:24 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.139
2023-01-19 09:24 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.063 s -0.304
2023-01-19 09:25 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.211
2023-01-19 09:24 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.141
2023-01-19 09:25 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.105
2023-01-19 09:25 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.898 s -0.003
2023-01-19 09:26 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.299
2023-01-19 09:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.569 s -0.229
2023-01-19 09:26 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.234 s 0.287
2023-01-19 09:26 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.335
2023-01-19 09:26 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.273 s 0.080
2023-01-19 09:26 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.244 s 0.204
2023-01-19 09:27 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.207 s -0.286
2023-01-19 09:27 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.328 s 0.332
2023-01-19 09:27 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.919 s -0.169
2023-01-19 09:27 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.170
2023-01-19 09:28 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.117
2023-01-19 09:28 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.315 s 0.129
2023-01-19 09:28 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.355 s 0.020
2023-01-19 09:28 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.318 s 0.405
2023-01-19 09:28 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.659 s -0.590
2023-01-19 09:29 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.634 s 0.068
2023-01-19 09:29 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.810 s -1.411
2023-01-19 09:29 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.236
2023-01-19 09:30 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.239
2023-01-19 09:30 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.252
2023-01-19 09:29 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.203 s 0.143
2023-01-19 09:29 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.204 s -2.736
2023-01-19 09:30 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.353 s 0.209
2023-01-19 09:30 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.510 s 0.061
2023-01-19 09:31 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.265
2023-01-19 09:31 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.351 s 0.255
2023-01-19 09:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.259 s 0.049
2023-01-19 09:31 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.340 s 0.266
2023-01-19 09:31 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.294 s 0.234
2023-01-19 09:31 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.373 s 0.288
2023-01-19 09:32 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.662 s 0.144
2023-01-19 09:32 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.782 s 0.252
2023-01-19 09:33 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.280
2023-01-19 09:32 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.618 s 0.021
2023-01-19 09:33 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.396 s 0.235
2023-01-19 09:33 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.390 s -0.828
2023-01-19 09:33 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.229
2023-01-19 09:33 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.430 s 0.179
2023-01-19 09:33 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.786 s -1.735
2023-01-19 09:34 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.614 s 0.199
2023-01-19 09:34 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.272 s 0.276
2023-01-19 09:34 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.795 s -0.195
2023-01-19 09:35 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.303
2023-01-19 09:35 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.372 s 0.284
2023-01-19 09:35 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.321
2023-01-19 09:35 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.771 s 0.175
2023-01-19 09:35 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.441 s 0.174
2023-01-19 09:37 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.260 s 0.222
2023-01-19 09:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.968 s -0.442
2023-01-19 09:36 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.171
2023-01-19 09:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.168 s -0.236
2023-01-19 09:36 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.300 s 0.269
2023-01-19 09:37 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.337 s 0.215
2023-01-19 09:38 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.305 s 0.153
2023-01-19 09:37 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.116
2023-01-19 09:37 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.877 s -0.223
2023-01-19 09:37 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.653 s 0.105
2023-01-19 09:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.764 s -0.215
2023-01-19 09:38 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.231 s 0.167
2023-01-19 09:39 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.545 s -0.185
2023-01-19 09:38 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.262 s 0.134
2023-01-19 09:39 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.334 s -0.294
2023-01-19 09:38 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.211 s 0.087
2023-01-19 09:39 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.877 s -0.684
2023-01-19 09:39 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.276 s -0.528
2023-01-19 09:40 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.363 s 0.283
2023-01-19 09:39 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.210 s 0.185
2023-01-19 09:39 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.141
2023-01-19 09:40 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.495 s -0.888
2023-01-19 09:40 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.306 s -0.186
2023-01-19 09:40 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.998 s -1.600
2023-01-19 09:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.713 s -1.583
2023-01-19 09:42 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.184 s 0.140
2023-01-19 09:42 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.614 s -0.800
2023-01-19 09:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.571 s -0.508
2023-01-19 09:42 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s 0.070
2023-01-19 09:42 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.427 s 0.136
2023-01-19 09:42 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.334 s -0.066
2023-01-19 09:42 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.873 s -0.450
2023-01-19 09:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.440 s -1.181
2023-01-19 09:43 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.268 s 0.230
2023-01-19 09:44 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.448 s -0.293
2023-01-19 09:44 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.335 s 0.221
2023-01-19 09:43 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.217 s 0.213
2023-01-19 09:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.547 s -0.399
2023-01-19 09:44 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.252
2023-01-19 09:44 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.936 s 0.100
2023-01-19 09:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.741 s -2.689
2023-01-19 09:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.595 s -0.918
2023-01-19 09:45 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.254 s 0.292
2023-01-19 09:46 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.296
2023-01-19 09:45 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.280 s -3.045
2023-01-19 09:46 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.589 s 0.162
2023-01-19 09:46 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.621 s -0.107
2023-01-19 09:46 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.286 s 0.276
2023-01-19 09:46 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.282
2023-01-19 09:47 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.285 s 0.250
2023-01-19 09:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.591 s -0.009
2023-01-19 09:47 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.238 s 0.270
2023-01-19 09:47 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.252
2023-01-19 09:47 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.222 s 0.206
2023-01-19 09:47 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.326 s 0.176
2023-01-19 09:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.890 s -0.164
2023-01-19 09:48 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.268 s 0.243
2023-01-19 09:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.527 s 0.213
2023-01-19 09:49 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.221 s 0.225
2023-01-19 09:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.100 s 0.043
2023-01-19 09:48 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.273
2023-01-19 09:49 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.667 s 0.129
2023-01-19 09:50 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.195 s 0.184
2023-01-19 09:49 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.322 s 0.283
2023-01-19 09:49 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.284
2023-01-19 09:50 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.242 s 0.243
2023-01-19 09:49 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 1.001 s -0.339
2023-01-19 09:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.181 s -0.862
2023-01-19 09:50 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.246
2023-01-19 09:51 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.224
2023-01-19 09:51 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.535 s 0.260
2023-01-19 09:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.407 s 0.022
2023-01-19 09:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.489 s -1.219
2023-01-19 09:52 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.085
2023-01-19 09:52 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.357 s -0.730
2023-01-19 09:52 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.175
2023-01-19 09:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.890 s -0.330
2023-01-19 09:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.333 s -0.144
2023-01-19 09:52 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.439 s 0.176
2023-01-19 09:52 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.076
2023-01-19 09:54 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.640 s -0.361
2023-01-19 09:54 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.441 s -0.938
2023-01-19 09:55 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.101
2023-01-19 09:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.603 s 0.251
2023-01-19 09:55 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.371 s 0.173
2023-01-19 09:54 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.109
2023-01-19 09:55 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.037
2023-01-19 09:56 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.397 s -0.661
2023-01-19 09:57 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.795 s 0.047
2023-01-19 09:57 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.211 s -1.913
2023-01-19 09:57 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.919 s -1.728
2023-01-19 09:54 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.321 s 0.111
2023-01-19 09:55 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.977 s -0.301
2023-01-19 09:56 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.451 s 0.068
2023-01-19 09:56 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.736 s -0.704
2023-01-19 09:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.073 s -0.063
2023-01-19 10:00 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.135 s -1.483
2023-01-19 10:02 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.122
2023-01-19 10:01 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.384 s -2.063
2023-01-19 10:02 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.232
2023-01-19 10:02 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.313 s -0.544
2023-01-19 10:02 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.149
2023-01-19 10:02 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.261 s 0.178
2023-01-19 10:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.337 s -0.364
2023-01-19 10:02 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.454 s 0.035
2023-01-19 10:02 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.141
2023-01-19 10:11 JavaScript Iterate Vector uint16Array 0.002 s 0.221
2023-01-19 10:11 JavaScript Table tracks, 1,000,000 0.264 s 0.336
2023-01-19 10:11 JavaScript vectorFromArray booleans 0.018 s -0.364
2023-01-19 10:11 JavaScript Spread Vector uint32Array 0.006 s 1.045
2023-01-19 10:11 JavaScript vectorFromArray dictionary 0.016 s 1.095
2023-01-19 10:11 JavaScript Spread Vector numbers 0.008 s 0.955
2023-01-19 10:11 JavaScript Spread Vector dictionary 0.010 s 0.764
2023-01-19 10:11 JavaScript toArray Vector uint8Array
2023-01-19 10:11 JavaScript Iterate Vector int32Array 0.002 s -0.270
2023-01-19 10:11 JavaScript toArray Vector uint16Array
2023-01-19 10:11 JavaScript Iterate Vector uint32Array 0.002 s 0.135
2023-01-19 10:11 JavaScript Spread Vector uint8Array 0.006 s 0.331
2023-01-19 10:11 JavaScript toArray Vector string 0.146 s -0.079
2023-01-19 10:11 JavaScript get Vector float64Array 0.002 s -0.057
2023-01-19 10:11 JavaScript get Vector booleans 0.002 s 0.640
2023-01-19 10:11 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.853
2023-01-19 10:11 JavaScript Iterate Vector uint8Array 0.002 s -0.870
2023-01-19 10:11 JavaScript Iterate Vector int8Array 0.002 s -0.408
2023-01-19 10:11 JavaScript Iterate Vector float32Array 0.002 s -0.569
2023-01-19 10:11 JavaScript Iterate Vector string 0.126 s 0.376
2023-01-19 10:11 JavaScript Iterate Vector int64Array 0.004 s 0.585
2023-01-19 10:11 JavaScript Spread Vector float64Array 0.008 s 0.408
2023-01-19 10:11 JavaScript Spread Vector booleans 0.010 s 0.702
2023-01-19 10:11 JavaScript Spread Vector string 0.146 s -0.404
2023-01-19 10:11 JavaScript vectorFromArray numbers 0.016 s 0.227
2023-01-19 10:11 JavaScript Iterate Vector uint64Array 0.004 s 0.221
2023-01-19 10:11 JavaScript Iterate Vector int16Array 0.002 s 0.120
2023-01-19 10:11 JavaScript Iterate Vector float64Array 0.002 s -1.203
2023-01-19 10:11 JavaScript toArray Vector int64Array
2023-01-19 10:11 JavaScript Iterate Vector numbers 0.002 s -1.302
2023-01-19 10:11 JavaScript Iterate Vector dictionary 0.004 s 0.183
2023-01-19 10:11 JavaScript Spread Vector int8Array 0.006 s 0.738
2023-01-19 10:11 JavaScript Spread Vector float32Array 0.008 s -0.099
2023-01-19 10:11 JavaScript toArray Vector int32Array
2023-01-19 10:11 JavaScript Iterate Vector booleans 0.004 s -0.866
2023-01-19 10:11 JavaScript toArray Vector booleans 0.010 s 0.430
2023-01-19 10:11 JavaScript get Vector int64Array 0.003 s -0.748
2023-01-19 10:11 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-19 10:11 JavaScript Spread Vector uint16Array 0.006 s 0.116
2023-01-19 10:11 JavaScript Spread Vector uint64Array 0.012 s 0.188
2023-01-19 10:11 JavaScript Spread Vector int16Array 0.006 s 0.719
2023-01-19 10:11 JavaScript Spread Vector int64Array 0.012 s -0.239
2023-01-19 10:11 JavaScript toArray Vector uint64Array
2023-01-19 10:11 JavaScript Spread Vector int32Array 0.006 s 0.753
2023-01-19 10:11 JavaScript toArray Vector uint32Array
2023-01-19 10:11 JavaScript toArray Vector int8Array
2023-01-19 10:11 JavaScript get Vector dictionary 0.002 s 0.978
2023-01-19 10:11 JavaScript Parse read recordBatches, tracks 0.000 s -6.136
2023-01-19 10:11 JavaScript toArray Vector int16Array
2023-01-19 10:11 JavaScript get Vector string 0.124 s 0.660
2023-01-19 10:11 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.029 s 0.872
2023-01-19 10:11 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.038 s 1.036
2023-01-19 10:11 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.510
2023-01-19 10:11 JavaScript toArray Vector float32Array
2023-01-19 10:11 JavaScript toArray Vector numbers
2023-01-19 10:11 JavaScript toArray Vector dictionary 0.010 s 0.384
2023-01-19 10:11 JavaScript get Vector uint8Array 0.003 s 0.115
2023-01-19 10:11 JavaScript get Vector int8Array 0.003 s 0.134
2023-01-19 10:11 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -1.056
2023-01-19 10:11 JavaScript toArray Vector float64Array
2023-01-19 10:11 JavaScript get Vector uint16Array 0.003 s -0.184
2023-01-19 10:11 JavaScript get Vector uint64Array 0.003 s -0.567
2023-01-19 10:11 JavaScript get Vector int16Array 0.003 s -0.383
2023-01-19 10:11 JavaScript Parse write recordBatches, tracks 0.002 s -3.619
2023-01-19 10:11 JavaScript get Vector uint32Array 0.003 s -0.432
2023-01-19 10:11 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 10:11 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.743
2023-01-19 10:11 JavaScript Table tracks, 1,000,000 0.050 s 0.545
2023-01-19 10:11 JavaScript get Vector int32Array 0.003 s -0.204
2023-01-19 10:11 JavaScript get Vector float32Array 0.002 s 0.924
2023-01-19 10:11 JavaScript get Vector numbers 0.002 s -1.359
2023-01-19 10:11 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.312
2023-01-19 10:11 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.124
2023-01-19 10:11 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.705
2023-01-19 10:11 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.967
2023-01-19 10:11 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.475
2023-01-19 10:11 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.852
2023-01-19 10:11 JavaScript Table 1,000,000, tracks 0.290 s -0.519
2023-01-19 10:11 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.591
2023-01-19 10:11 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.966
2023-01-19 10:11 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.958
2023-01-19 10:11 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s -0.464
2023-01-19 10:11 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 10:11 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.607
2023-01-19 10:11 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-19 10:11 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.855
2023-01-19 10:11 JavaScript Table tracks, 1,000,000 0.095 s 0.046
2023-01-19 10:11 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.355