Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-19 13:34 Python dataframe-to-table type_strings 0.427 s 0.123
2023-01-19 13:29 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.769 s 1.078
2023-01-19 13:29 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.239 s 0.235
2023-01-19 13:31 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.435 s 0.537
2023-01-19 13:34 Python dataframe-to-table chi_traffic_2020_Q1 20.900 s 1.213
2023-01-19 13:30 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.202 s -1.493
2023-01-19 13:32 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.403 s 1.347
2023-01-19 13:34 Python dataframe-to-table type_integers 0.010 s -1.579
2023-01-19 13:32 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.396 s 1.223
2023-01-19 13:34 Python dataframe-to-table type_dict 0.011 s -0.655
2023-01-19 13:31 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.201 s -1.549
2023-01-19 13:31 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.110 s 0.299
2023-01-19 13:34 Python dataframe-to-table type_floats 0.010 s 0.178
2023-01-19 13:35 Python dataframe-to-table type_nested 2.990 s -1.200
2023-01-19 13:35 Python dataset-filter nyctaxi_2010-01 1.022 s -0.327
2023-01-19 13:39 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 82.875 s -0.127
2023-01-19 13:43 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 85.551 s -0.750
2023-01-19 13:54 Python dataset-read async=True, nyctaxi_multi_ipc_s3 218.144 s 0.692
2023-01-19 13:54 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.556 s -1.543
2023-01-19 13:55 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.193 s 0.129
2023-01-19 13:55 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.294 s 0.265
2023-01-19 13:56 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -2.007
2023-01-19 13:56 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.609
2023-01-19 13:55 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.221 s 0.165
2023-01-19 13:55 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.043 s 0.261
2023-01-19 13:55 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.027 s 0.303
2023-01-19 13:55 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.141 s -0.209
2023-01-19 13:55 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.209 s -0.345
2023-01-19 13:55 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.650 s 0.316
2023-01-19 13:56 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.479
2023-01-19 13:56 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.947 s -2.221
2023-01-19 13:55 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.177 s -0.632
2023-01-19 13:56 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.730 s 8.281
2023-01-19 13:56 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.118
2023-01-19 13:56 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.258
2023-01-19 13:57 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.259 s 8.452
2023-01-19 14:00 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.415 s -1.875
2023-01-19 14:01 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.150 s 0.759
2023-01-19 14:00 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.324
2023-01-19 14:08 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.290
2023-01-19 14:08 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.835 s 7.934
2023-01-19 14:08 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 0.886
2023-01-19 14:08 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.302 s 8.285
2023-01-19 14:08 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.290 s -1.810
2023-01-19 14:22 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.504 s -0.255
2023-01-19 14:13 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.166 s -1.892
2023-01-19 14:13 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.409 s 0.488
2023-01-19 14:22 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.623 s 0.323
2023-01-19 14:13 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.405 s 0.604
2023-01-19 14:24 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.933 s 0.041
2023-01-19 14:24 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.931 s 0.318
2023-01-19 14:10 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.378 s 8.257
2023-01-19 14:22 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.613 s 0.235
2023-01-19 14:23 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.320 s 0.263
2023-01-19 14:24 Python file-read lz4, feather, table, nyctaxi_2010-01 0.677 s 0.246
2023-01-19 14:09 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.806
2023-01-19 14:22 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.169 s 8.101
2023-01-19 14:09 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.074 s -1.895
2023-01-19 14:09 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.410
2023-01-19 14:23 Python file-read lz4, feather, table, fanniemae_2016Q4 0.813 s 0.301
2023-01-19 14:22 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.503 s -0.313
2023-01-19 14:23 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.313 s -2.527
2023-01-19 14:29 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.970 s -0.627
2023-01-19 14:23 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.973 s 0.149
2023-01-19 14:24 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.753 s -1.292
2023-01-19 14:26 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.990 s -1.423
2023-01-19 14:28 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.370 s -0.215
2023-01-19 14:32 Python wide-dataframe use_legacy_dataset=true 0.377 s 0.187
2023-01-19 14:23 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.725 s -0.009
2023-01-19 14:23 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.959 s 0.269
2023-01-19 14:24 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.581 s 0.321
2023-01-19 14:27 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.493 s -1.294
2023-01-19 14:23 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.933 s 0.011
2023-01-19 14:32 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.240 s -0.372
2023-01-19 14:41 R dataframe-to-table type_integers, R 0.010 s 0.016
2023-01-19 14:24 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.327 s 0.372
2023-01-19 14:26 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.344 s -1.356
2023-01-19 14:29 Python file-write lz4, feather, table, fanniemae_2016Q4 1.877 s -0.238
2023-01-19 14:40 R dataframe-to-table type_dict, R 0.063 s -1.032
2023-01-19 14:28 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.316 s -0.287
2023-01-19 14:29 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.922 s -0.653
2023-01-19 14:31 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.817 s -0.426
2023-01-19 14:31 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.170 s -0.281
2023-01-19 14:30 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.798 s -0.665
2023-01-19 14:40 R dataframe-to-table type_strings, R 0.533 s 0.457
2023-01-19 14:30 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.465 s -1.094
2023-01-19 14:31 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.342 s -1.049
2023-01-19 14:31 Python file-write lz4, feather, table, nyctaxi_2010-01 1.793 s -0.148
2023-01-19 14:32 Python wide-dataframe use_legacy_dataset=false 0.513 s 0.397
2023-01-19 14:40 R dataframe-to-table chi_traffic_2020_Q1, R 4.353 s -0.627
2023-01-19 14:41 R dataframe-to-table type_nested, R 0.575 s -0.361
2023-01-19 14:41 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.330 s -1.060
2023-01-19 14:43 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.566 s -0.286
2023-01-19 14:44 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.583 s 0.202
2023-01-19 14:49 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.404 s -1.596
2023-01-19 15:03 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.594 s -0.486
2023-01-19 14:42 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.320 s -0.385
2023-01-19 14:47 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.946 s -1.550
2023-01-19 14:52 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.056 s -0.336
2023-01-19 14:54 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.004 s -0.771
2023-01-19 14:41 R dataframe-to-table type_floats, R 0.013 s 0.781
2023-01-19 14:41 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.584 s -0.936
2023-01-19 14:42 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.241
2023-01-19 14:42 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.605 s 0.178
2023-01-19 14:42 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.854 s 0.229
2023-01-19 14:43 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.917 s -0.385
2023-01-19 14:43 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.812 s 0.269
2023-01-19 14:42 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.579 s -0.600
2023-01-19 14:42 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.571 s 0.205
2023-01-19 14:43 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.916 s -0.310
2023-01-19 14:43 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.568 s -0.365
2023-01-19 14:45 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.968 s -1.484
2023-01-19 14:43 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.215 s 0.263
2023-01-19 14:48 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.365 s -1.410
2023-01-19 15:02 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.257 s -3.285
2023-01-19 15:04 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.201
2023-01-19 14:44 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.907 s 0.163
2023-01-19 14:50 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.963 s -0.568
2023-01-19 14:57 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.733 s -0.727
2023-01-19 15:00 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.468 s 1.198
2023-01-19 15:03 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 0.998 s 1.233
2023-01-19 14:59 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.314 s -1.528
2023-01-19 15:04 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.279 s -0.111
2023-01-19 15:03 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.173
2023-01-19 15:04 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.189
2023-01-19 15:06 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.590 s 0.038
2023-01-19 15:07 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.243 s 0.215
2023-01-19 15:09 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.324 s -0.177
2023-01-19 15:11 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.284 s -0.270
2023-01-19 14:52 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.492 s 0.179
2023-01-19 14:54 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.550 s -1.055
2023-01-19 15:02 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.595 s 0.398
2023-01-19 15:03 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.281 s 0.180
2023-01-19 15:04 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.856 s -0.435
2023-01-19 15:04 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.117
2023-01-19 15:05 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.061 s -0.412
2023-01-19 15:05 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.233 s 0.159
2023-01-19 14:56 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.829 s -0.780
2023-01-19 14:58 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.785 s -0.803
2023-01-19 14:59 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.170 s -0.111
2023-01-19 15:02 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.225
2023-01-19 15:02 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.587 s -0.588
2023-01-19 15:02 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.167
2023-01-19 15:05 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.095
2023-01-19 15:09 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.265 s 0.163
2023-01-19 15:10 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.235 s 0.195
2023-01-19 15:02 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.254 s -0.327
2023-01-19 15:04 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.429 s 0.298
2023-01-19 15:05 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.126
2023-01-19 15:06 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.894 s 0.228
2023-01-19 15:09 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.642 s -0.034
2023-01-19 15:01 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.079 s -0.468
2023-01-19 15:01 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.551 s 0.727
2023-01-19 15:06 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.301 s 0.091
2023-01-19 15:07 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.138
2023-01-19 15:08 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.212 s -0.509
2023-01-19 15:08 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.313 s 0.199
2023-01-19 15:09 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.352 s 0.100
2023-01-19 15:04 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.335 s 0.058
2023-01-19 15:07 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.197 s 0.375
2023-01-19 15:10 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.721 s -0.288
2023-01-19 15:05 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.202
2023-01-19 15:07 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s 0.247
2023-01-19 15:08 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.161
2023-01-19 15:10 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.161 s 0.147
2023-01-19 15:10 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.160 s 0.227
2023-01-19 15:11 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.178 s 0.242
2023-01-19 15:12 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.293 s 0.288
2023-01-19 15:05 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.668 s -1.034
2023-01-19 15:07 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.551 s -0.132
2023-01-19 15:07 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.232 s 0.288
2023-01-19 15:09 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.633 s 0.057
2023-01-19 15:11 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.509 s 0.074
2023-01-19 15:08 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.905 s 0.646
2023-01-19 15:11 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s 0.512
2023-01-19 15:07 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.257
2023-01-19 15:10 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.202 s 0.160
2023-01-19 15:12 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.298
2023-01-19 15:12 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.339 s 0.329
2023-01-19 15:12 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.374 s 0.265
2023-01-19 15:12 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.667 s 0.020
2023-01-19 15:12 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.351 s 0.237
2023-01-19 15:13 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.333 s 0.264
2023-01-19 15:13 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.784 s 0.147
2023-01-19 15:14 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.369 s 0.203
2023-01-19 15:13 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.655 s -0.271
2023-01-19 15:14 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.430 s 0.135
2023-01-19 15:13 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.396 s 0.217
2023-01-19 15:14 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.340 s 0.165
2023-01-19 15:14 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.721 s -0.001
2023-01-19 15:15 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.805 s -0.353
2023-01-19 15:14 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.614 s 0.179
2023-01-19 15:15 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.267
2023-01-19 15:15 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.233
2023-01-19 15:15 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.296 s 0.237
2023-01-19 15:16 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.773 s 0.032
2023-01-19 15:15 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.372 s 0.207
2023-01-19 15:16 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.273
2023-01-19 15:16 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.966 s -0.464
2023-01-19 15:17 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.170 s -0.464
2023-01-19 15:17 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.134
2023-01-19 15:17 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.204
2023-01-19 15:17 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.259 s 0.232
2023-01-19 15:17 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.300 s 0.201
2023-01-19 15:18 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.872 s 0.398
2023-01-19 15:17 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.337 s 0.131
2023-01-19 15:18 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.655 s -0.052
2023-01-19 15:19 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.289 s -5.819
2023-01-19 15:18 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 4.051 s -3.240
2023-01-19 15:20 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.865 s 0.279
2023-01-19 15:19 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.340 s -3.415
2023-01-19 15:19 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.230 s 0.220
2023-01-19 15:19 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.172
2023-01-19 15:19 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.326 s 0.566
2023-01-19 15:20 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.542 s -0.197
2023-01-19 15:20 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.244 s -0.311
2023-01-19 15:21 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.364 s 0.185
2023-01-19 15:20 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.263
2023-01-19 15:20 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.306 s -0.250
2023-01-19 15:20 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.038
2023-01-19 15:21 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.493 s -0.777
2023-01-19 15:21 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.933 s -0.596
2023-01-19 15:22 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.685 s -1.366
2023-01-19 15:22 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.239 s 0.079
2023-01-19 15:22 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.612 s -0.705
2023-01-19 15:22 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.215
2023-01-19 15:23 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.864 s -0.130
2023-01-19 15:23 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.430 s -0.071
2023-01-19 15:22 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.333 s -0.020
2023-01-19 15:23 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.614 s -0.994
2023-01-19 15:23 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.442 s -1.328
2023-01-19 15:24 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.548 s -0.401
2023-01-19 15:24 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.215 s 0.229
2023-01-19 15:24 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.267 s 0.260
2023-01-19 15:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.485 s -2.760
2023-01-19 15:24 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.336 s 0.182
2023-01-19 15:24 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.238
2023-01-19 15:25 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.600 s -0.941
2023-01-19 15:25 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.985 s -0.802
2023-01-19 15:26 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.729 s -2.694
2023-01-19 15:26 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.252 s -1.670
2023-01-19 15:26 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.285 s 0.264
2023-01-19 15:26 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.271
2023-01-19 15:26 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.316
2023-01-19 15:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.251
2023-01-19 15:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.594 s -0.032
2023-01-19 15:27 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.624 s -0.327
2023-01-19 15:29 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.894 s -0.410
2023-01-19 15:27 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.640 s -0.694
2023-01-19 15:28 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.257
2023-01-19 15:28 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.248
2023-01-19 15:28 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.530 s 0.136
2023-01-19 15:28 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.252
2023-01-19 15:28 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.238 s 0.249
2023-01-19 15:28 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 0.354
2023-01-19 15:29 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.102 s -0.020
2023-01-19 15:29 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.263
2023-01-19 15:29 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.217 s 0.250
2023-01-19 15:29 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.314
2023-01-19 15:29 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.269 s 0.223
2023-01-19 15:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.259 s 0.263
2023-01-19 15:30 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.986 s -0.086
2023-01-19 15:30 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.667 s 0.125
2023-01-19 15:31 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.911 s -0.056
2023-01-19 15:31 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.287
2023-01-19 15:31 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.262
2023-01-19 15:31 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.266 s 0.226
2023-01-19 15:31 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.242 s 0.273
2023-01-19 15:32 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.543 s 0.018
2023-01-19 15:31 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.233
2023-01-19 15:33 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.319 s -0.351
2023-01-19 15:32 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.460 s -0.197
2023-01-19 15:33 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.082
2023-01-19 15:33 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.439 s 0.099
2023-01-19 15:33 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.892 s -0.773
2023-01-19 15:33 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.111
2023-01-19 15:33 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.159
2023-01-19 15:34 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.341 s -0.453
2023-01-19 15:34 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.639 s -0.416
2023-01-19 15:35 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.256 s 0.156
2023-01-19 15:35 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.517 s -1.656
2023-01-19 15:35 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.321 s 0.137
2023-01-19 15:35 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.257 s 0.118
2023-01-19 15:36 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.987 s -0.590
2023-01-19 15:35 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.121
2023-01-19 15:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.031
2023-01-19 15:36 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.605 s -0.021
2023-01-19 15:37 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.076 s -0.100
2023-01-19 15:38 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.890 s -0.415
2023-01-19 15:37 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.415 s -6.369
2023-01-19 15:37 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.524 s -5.491
2023-01-19 15:37 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.753 s -2.904
2023-01-19 15:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.795 s 0.082
2023-01-19 15:38 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.169 s -0.792
2023-01-19 15:41 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.935 s -0.293
2023-01-19 15:42 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.884 s -0.592
2023-01-19 15:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.246
2023-01-19 15:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.207
2023-01-19 15:43 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.454 s 0.031
2023-01-19 15:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.272
2023-01-19 15:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.119
2023-01-19 15:44 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.358 s -0.667
2023-01-19 15:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.175
2023-01-19 15:43 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.308 s 0.150
2023-01-19 15:52 JavaScript Iterate Vector uint16Array 0.002 s -0.306
2023-01-19 15:52 JavaScript Iterate Vector int64Array 0.004 s -1.019
2023-01-19 15:52 JavaScript Iterate Vector string 0.128 s -1.565
2023-01-19 15:52 JavaScript Spread Vector int16Array 0.007 s -2.767
2023-01-19 15:52 JavaScript vectorFromArray numbers 0.016 s 0.187
2023-01-19 15:52 JavaScript Iterate Vector int16Array 0.002 s 0.227
2023-01-19 15:52 JavaScript Spread Vector uint64Array 0.012 s -2.443
2023-01-19 15:52 JavaScript vectorFromArray booleans 0.018 s -0.191
2023-01-19 15:52 JavaScript Iterate Vector int8Array 0.002 s 0.478
2023-01-19 15:52 JavaScript toArray Vector int8Array
2023-01-19 15:52 JavaScript Iterate Vector uint8Array 0.002 s 0.074
2023-01-19 15:52 JavaScript Iterate Vector uint32Array 0.002 s 0.416
2023-01-19 15:52 JavaScript Iterate Vector float32Array 0.002 s -0.498
2023-01-19 15:52 JavaScript Iterate Vector numbers 0.002 s 0.647
2023-01-19 15:52 JavaScript vectorFromArray dictionary 0.017 s 0.478
2023-01-19 15:52 JavaScript Iterate Vector uint64Array 0.004 s -0.612
2023-01-19 15:52 JavaScript toArray Vector string 0.146 s -0.456
2023-01-19 15:52 JavaScript toArray Vector float64Array
2023-01-19 15:52 JavaScript get Vector uint64Array 0.003 s 0.996
2023-01-19 15:52 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.024 s -3.339
2023-01-19 15:52 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.047
2023-01-19 15:52 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.688
2023-01-19 15:52 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.763
2023-01-19 15:52 JavaScript Table tracks, 1,000,000 0.277 s -0.322
2023-01-19 15:52 JavaScript Iterate Vector dictionary 0.004 s -0.467
2023-01-19 15:52 JavaScript Spread Vector uint8Array 0.007 s -3.291
2023-01-19 15:52 JavaScript Spread Vector uint32Array 0.007 s -2.690
2023-01-19 15:52 JavaScript Spread Vector int8Array 0.007 s -2.749
2023-01-19 15:52 JavaScript Spread Vector int32Array 0.007 s -3.114
2023-01-19 15:52 JavaScript Iterate Vector int32Array 0.002 s 0.374
2023-01-19 15:52 JavaScript Spread Vector float32Array 0.008 s -2.028
2023-01-19 15:52 JavaScript Spread Vector numbers 0.008 s -1.807
2023-01-19 15:52 JavaScript Spread Vector dictionary 0.010 s -2.775
2023-01-19 15:52 JavaScript toArray Vector uint8Array
2023-01-19 15:52 JavaScript Iterate Vector float64Array 0.002 s 0.716
2023-01-19 15:52 JavaScript get Vector uint32Array 0.003 s 0.478
2023-01-19 15:52 JavaScript get Vector int8Array 0.003 s 0.708
2023-01-19 15:52 JavaScript get Vector int32Array 0.003 s 0.658
2023-01-19 15:52 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.024 s -3.406
2023-01-19 15:52 JavaScript Iterate Vector booleans 0.004 s -0.208
2023-01-19 15:52 JavaScript toArray Vector uint16Array
2023-01-19 15:52 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.331
2023-01-19 15:53 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.470
2023-01-19 15:53 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.649
2023-01-19 15:52 JavaScript Spread Vector uint16Array 0.007 s -3.422
2023-01-19 15:52 JavaScript get Vector float32Array 0.002 s 0.351
2023-01-19 15:52 JavaScript get Vector dictionary 0.002 s -0.417
2023-01-19 15:52 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.038 s 0.790
2023-01-19 15:52 JavaScript Table 1,000,000, tracks 0.271 s 0.286
2023-01-19 15:52 JavaScript Spread Vector int64Array 0.012 s -1.775
2023-01-19 15:52 JavaScript Spread Vector string 0.147 s -0.803
2023-01-19 15:52 JavaScript toArray Vector uint64Array
2023-01-19 15:52 JavaScript toArray Vector int16Array
2023-01-19 15:52 JavaScript get Vector uint8Array 0.003 s 0.370
2023-01-19 15:52 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.574
2023-01-19 15:52 JavaScript Spread Vector float64Array 0.008 s -2.088
2023-01-19 15:52 JavaScript Spread Vector booleans 0.010 s -0.366
2023-01-19 15:52 JavaScript toArray Vector int32Array
2023-01-19 15:52 JavaScript toArray Vector float32Array
2023-01-19 15:52 JavaScript toArray Vector numbers
2023-01-19 15:52 JavaScript toArray Vector dictionary 0.010 s -1.363
2023-01-19 15:52 JavaScript toArray Vector uint32Array
2023-01-19 15:52 JavaScript toArray Vector int64Array
2023-01-19 15:52 JavaScript toArray Vector booleans 0.010 s -1.108
2023-01-19 15:52 JavaScript get Vector int16Array 0.003 s 0.728
2023-01-19 15:52 JavaScript get Vector int64Array 0.003 s 0.760
2023-01-19 15:52 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.520
2023-01-19 15:52 JavaScript get Vector uint16Array 0.003 s 0.347
2023-01-19 15:52 JavaScript get Vector float64Array 0.002 s 0.036
2023-01-19 15:52 JavaScript get Vector booleans 0.002 s 0.359
2023-01-19 15:52 JavaScript get Vector string 0.127 s -1.723
2023-01-19 15:52 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.146
2023-01-19 15:52 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.192 s -1.404
2023-01-19 15:52 JavaScript get Vector numbers 0.002 s 0.163
2023-01-19 15:52 JavaScript Parse read recordBatches, tracks 0.000 s -9.153
2023-01-19 15:52 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 15:52 JavaScript Parse write recordBatches, tracks 0.002 s -5.045
2023-01-19 15:52 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.038 s 1.134
2023-01-19 15:52 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-19 15:52 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.065
2023-01-19 15:52 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.109 s -1.757
2023-01-19 15:52 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-19 15:52 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.411
2023-01-19 15:52 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-19 15:53 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.294
2023-01-19 15:52 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -3.201
2023-01-19 15:52 JavaScript Table tracks, 1,000,000 0.050 s -0.142
2023-01-19 15:52 JavaScript Table tracks, 1,000,000 0.095 s -0.240