Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-18 06:49 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.240 s 0.281
2023-01-18 06:51 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.429 s 1.410
2023-01-18 06:52 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.303 s 1.571
2023-01-18 06:54 Python dataframe-to-table type_integers 0.010 s -0.650
2023-01-18 06:49 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.771 s 0.976
2023-01-18 06:51 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.157 s -0.131
2023-01-18 06:54 Python dataframe-to-table chi_traffic_2020_Q1 21.019 s 0.369
2023-01-18 06:54 Python dataframe-to-table type_nested 2.967 s -0.035
2023-01-18 06:54 Python dataframe-to-table type_floats 0.010 s 0.046
2023-01-18 06:54 Python dataframe-to-table type_strings 0.431 s -1.119
2023-01-18 06:50 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.172 s -1.419
2023-01-18 06:54 Python dataframe-to-table type_dict 0.011 s 0.064
2023-01-18 06:55 Python dataset-filter nyctaxi_2010-01 1.029 s -0.226
2023-01-18 06:51 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.179 s -1.497
2023-01-18 06:52 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.286 s 1.460
2023-01-18 07:00 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 102.422 s -2.290
2023-01-18 07:16 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.160
2023-01-18 07:15 Python dataset-read async=True, nyctaxi_multi_ipc_s3 225.844 s -0.315
2023-01-18 07:16 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.215 s -0.518
2023-01-18 07:04 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.169 s 0.419
2023-01-18 07:16 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.042 s 0.270
2023-01-18 07:16 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -1.048
2023-01-18 07:17 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.731 s 8.280
2023-01-18 07:21 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.350 s -1.522
2023-01-18 07:16 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.127 s 0.281
2023-01-18 07:17 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.942 s -1.935
2023-01-18 07:21 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.825
2023-01-18 07:15 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.213 s 0.771
2023-01-18 07:16 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.185 s 0.190
2023-01-18 07:29 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 73.360 s 8.208
2023-01-18 07:29 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 0.307
2023-01-18 07:30 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.386 s 8.256
2023-01-18 07:16 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.307 s -1.555
2023-01-18 07:17 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.200 s -2.335
2023-01-18 07:16 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.640 s 0.318
2023-01-18 07:29 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.835 s 8.072
2023-01-18 07:43 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.604 s 0.632
2023-01-18 07:16 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.309 s 0.175
2023-01-18 07:16 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.039 s 0.274
2023-01-18 07:16 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.183 s -0.894
2023-01-18 07:30 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.202
2023-01-18 07:16 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.242 s 0.043
2023-01-18 07:17 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -1.194
2023-01-18 07:29 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.289 s -1.630
2023-01-18 07:29 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.246
2023-01-18 07:18 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.263 s 8.304
2023-01-18 07:29 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.062 s -1.675
2023-01-18 07:30 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.226 s -0.590
2023-01-18 07:44 Python file-read lz4, feather, table, fanniemae_2016Q4 0.797 s 0.671
2023-01-18 07:44 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.194 s 0.611
2023-01-18 07:47 Python file-write snappy, parquet, table, fanniemae_2016Q4 11.019 s -1.687
2023-01-18 07:51 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.880 s -1.280
2023-01-18 07:52 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.689 s 0.122
2023-01-18 07:34 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.407 s 0.122
2023-01-18 07:43 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.311 s 0.360
2023-01-18 07:45 Python file-read lz4, feather, table, nyctaxi_2010-01 0.670 s 0.372
2023-01-18 07:45 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.329 s 0.411
2023-01-18 07:52 Python file-write lz4, feather, table, nyctaxi_2010-01 1.766 s 0.115
2023-01-18 07:21 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.153 s -0.634
2023-01-18 07:45 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.757 s -1.424
2023-01-18 08:01 R dataframe-to-table type_dict, R 0.064 s -1.026
2023-01-18 08:02 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.318 s -0.093
2023-01-18 07:43 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.502 s -0.059
2023-01-18 07:44 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.614 s 0.341
2023-01-18 08:01 R dataframe-to-table type_strings, R 0.535 s 0.014
2023-01-18 07:43 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 83.210 s 8.191
2023-01-18 07:46 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.356 s -1.514
2023-01-18 07:50 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.859 s 0.299
2023-01-18 07:34 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.407 s 0.856
2023-01-18 07:43 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.486 s 0.458
2023-01-18 07:45 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.595 s 0.311
2023-01-18 07:52 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.082 s 0.140
2023-01-18 07:34 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 31.043 s -1.670
2023-01-18 07:44 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.942 s -0.037
2023-01-18 07:44 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.923 s 0.234
2023-01-18 07:48 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.506 s -1.455
2023-01-18 07:48 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.272 s 0.004
2023-01-18 07:52 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.214 s -0.128
2023-01-18 07:52 Python wide-dataframe use_legacy_dataset=false 0.512 s 0.464
2023-01-18 08:01 R dataframe-to-table type_integers, R 0.010 s 0.556
2023-01-18 08:02 R dataframe-to-table type_nested, R 0.573 s 0.227
2023-01-18 07:43 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.600 s 0.495
2023-01-18 07:44 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.986 s 0.001
2023-01-18 07:49 Python file-write lz4, feather, table, fanniemae_2016Q4 1.840 s 0.137
2023-01-18 07:50 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.973 s -0.943
2023-01-18 07:52 Python wide-dataframe use_legacy_dataset=true 0.376 s 0.308
2023-01-18 07:44 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.988 s 0.007
2023-01-18 07:49 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.202 s -0.017
2023-01-18 07:51 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.468 s -1.162
2023-01-18 07:52 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.368 s -1.299
2023-01-18 07:44 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.947 s 0.288
2023-01-18 08:01 R dataframe-to-table chi_traffic_2020_Q1, R 4.372 s -0.979
2023-01-18 08:01 R dataframe-to-table type_floats, R 0.013 s 0.494
2023-01-18 08:03 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.315 s 0.254
2023-01-18 08:02 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.318 s -0.083
2023-01-18 08:02 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.573 s -0.179
2023-01-18 08:03 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.577 s -0.305
2023-01-18 08:03 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.593 s 0.305
2023-01-18 08:03 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.568 s -0.164
2023-01-18 08:03 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.571 s 0.251
2023-01-18 08:04 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.921 s -0.241
2023-01-18 08:03 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.847 s 0.293
2023-01-18 08:04 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.581 s 0.309
2023-01-18 08:05 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.904 s 0.286
2023-01-18 08:04 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.926 s -0.438
2023-01-18 08:04 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.815 s 0.326
2023-01-18 08:04 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.571 s -0.296
2023-01-18 08:04 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.218 s 0.295
2023-01-18 08:06 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.978 s -1.660
2023-01-18 08:07 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.888 s -1.363
2023-01-18 08:08 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.385 s -1.623
2023-01-18 08:10 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.429 s -1.837
2023-01-18 08:11 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.960 s -0.077
2023-01-18 08:12 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.036 s 0.183
2023-01-18 08:13 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.490 s 0.759
2023-01-18 08:14 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.481 s 0.384
2023-01-18 08:15 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.087 s -1.688
2023-01-18 08:16 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.913 s -1.653
2023-01-18 08:17 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.829 s -1.740
2023-01-18 08:19 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.864 s -1.685
2023-01-18 08:19 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.311 s 0.026
2023-01-18 08:21 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.469 s 0.924
2023-01-18 08:20 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.177 s -0.332
2023-01-18 08:26 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.062 s -0.373
2023-01-18 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.169
2023-01-18 08:29 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.223
2023-01-18 08:29 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.351 s 0.231
2023-01-18 08:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.639 s 0.159
2023-01-18 08:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.170
2023-01-18 08:27 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.886 s 0.618
2023-01-18 08:27 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.346
2023-01-18 08:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.330 s 0.297
2023-01-18 08:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.318 s 0.395
2023-01-18 08:24 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s -0.042
2023-01-18 08:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.270 s 0.281
2023-01-18 08:22 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.552 s 0.576
2023-01-18 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.227
2023-01-18 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s 0.291
2023-01-18 08:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s 0.289
2023-01-18 08:27 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.588 s -0.432
2023-01-18 08:23 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.236
2023-01-18 08:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.697 s 0.633
2023-01-18 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.349 s 0.192
2023-01-18 08:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.669 s -1.090
2023-01-18 08:29 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.911 s 0.372
2023-01-18 08:29 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.214
2023-01-18 08:24 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.593 s -0.235
2023-01-18 08:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.232 s 0.248
2023-01-18 08:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.173
2023-01-18 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.304 s 0.214
2023-01-18 08:28 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.201 s 0.301
2023-01-18 08:30 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.717 s -0.180
2023-01-18 08:23 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.602 s -0.047
2023-01-18 08:26 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.227 s 0.257
2023-01-18 08:26 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.591 s 0.045
2023-01-18 08:30 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.633 s 0.168
2023-01-18 08:22 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.085 s -0.666
2023-01-18 08:22 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.607 s -1.117
2023-01-18 08:25 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.334 s 0.149
2023-01-18 08:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.243 s 0.289
2023-01-18 08:29 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.198
2023-01-18 08:23 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.252 s 0.030
2023-01-18 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.201 s 0.178
2023-01-18 08:23 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.154
2023-01-18 08:24 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.001 s 0.442
2023-01-18 08:25 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.205
2023-01-18 08:28 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.233 s 0.313
2023-01-18 08:29 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.215 s -0.367
2023-01-18 08:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.179 s 0.240
2023-01-18 08:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.161 s 0.206
2023-01-18 08:31 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.162 s 0.186
2023-01-18 08:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.203 s 0.200
2023-01-18 08:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.235 s 0.264
2023-01-18 08:32 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.350 s 0.382
2023-01-18 08:31 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.509 s 0.167
2023-01-18 08:32 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.340 s 0.351
2023-01-18 08:32 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.294 s 0.312
2023-01-18 08:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.314
2023-01-18 08:32 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.269 s -0.048
2023-01-18 08:33 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.663 s 0.175
2023-01-18 08:32 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.292 s 0.326
2023-01-18 08:33 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.375 s 0.289
2023-01-18 08:34 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.395 s 0.315
2023-01-18 08:33 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.784 s 0.224
2023-01-18 08:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.370 s 0.236
2023-01-18 08:34 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.285
2023-01-18 08:34 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.609 s 0.133
2023-01-18 08:34 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.429 s 0.249
2023-01-18 08:34 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.291
2023-01-18 08:35 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.718 s 0.189
2023-01-18 08:35 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.614 s 0.215
2023-01-18 08:36 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.764 s 0.039
2023-01-18 08:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.324 s 0.352
2023-01-18 08:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.269 s 0.424
2023-01-18 08:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.290
2023-01-18 08:36 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.361
2023-01-18 08:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.373 s 0.309
2023-01-18 08:37 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.972 s -0.622
2023-01-18 08:36 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.772 s 0.195
2023-01-18 08:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.232
2023-01-18 08:37 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.158 s -0.160
2023-01-18 08:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.300 s 0.261
2023-01-18 08:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.260 s 0.242
2023-01-18 08:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.339 s 0.132
2023-01-18 08:38 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.320 s 0.280
2023-01-18 08:38 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.654 s 0.128
2023-01-18 08:39 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.869 s 0.701
2023-01-18 08:39 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.188
2023-01-18 08:39 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.758 s -0.155
2023-01-18 08:39 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.262 s 0.212
2023-01-18 08:40 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.240
2023-01-18 08:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.229 s 0.313
2023-01-18 08:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.327 s 0.428
2023-01-18 08:40 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.541 s 0.030
2023-01-18 08:41 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.291 s -0.785
2023-01-18 08:40 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.863 s 0.454
2023-01-18 08:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.173
2023-01-18 08:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.217
2023-01-18 08:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.064
2023-01-18 08:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.365 s 0.134
2023-01-18 08:41 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.495 s -0.998
2023-01-18 08:41 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.930 s -0.580
2023-01-18 08:42 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.688 s -1.542
2023-01-18 08:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.219
2023-01-18 08:43 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.557 s -0.573
2023-01-18 08:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.331 s 0.177
2023-01-18 08:43 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.609 s -0.676
2023-01-18 08:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.239 s 0.076
2023-01-18 08:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.427 s 0.077
2023-01-18 08:43 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.863 s -0.172
2023-01-18 08:44 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.435 s -1.373
2023-01-18 08:44 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.551 s -0.524
2023-01-18 08:44 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.203
2023-01-18 08:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.270 s 0.198
2023-01-18 08:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.339 s 0.109
2023-01-18 08:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.254
2023-01-18 08:45 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.942 s -0.002
2023-01-18 08:45 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.440 s 0.183
2023-01-18 08:46 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.546 s 0.018
2023-01-18 08:46 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.988 s -0.331
2023-01-18 08:46 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.302
2023-01-18 08:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.276
2023-01-18 08:46 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.332
2023-01-18 08:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.286 s 0.248
2023-01-18 08:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.242 s 0.264
2023-01-18 08:47 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.589 s 0.152
2023-01-18 08:47 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.606 s 0.622
2023-01-18 08:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.238 s 0.287
2023-01-18 08:48 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.599 s -0.122
2023-01-18 08:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.196 s 0.300
2023-01-18 08:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.294
2023-01-18 08:48 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.283 s 0.308
2023-01-18 08:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.529 s 0.174
2023-01-18 08:48 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.321 s 0.429
2023-01-18 08:49 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.885 s 0.154
2023-01-18 08:49 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.269 s 0.227
2023-01-18 08:49 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.286
2023-01-18 08:49 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.084 s 0.134
2023-01-18 08:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.280
2023-01-18 08:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.324 s 0.249
2023-01-18 08:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.245
2023-01-18 08:50 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.976 s 0.039
2023-01-18 08:51 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.243 s 0.250
2023-01-18 08:51 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.044 s -0.453
2023-01-18 08:50 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.666 s 0.204
2023-01-18 08:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.242
2023-01-18 08:51 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.275
2023-01-18 08:52 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.407 s -0.017
2023-01-18 08:52 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.266 s 0.229
2023-01-18 08:53 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.475 s -0.832
2023-01-18 08:52 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.535 s 0.231
2023-01-18 08:53 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.269 s 0.151
2023-01-18 08:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.152
2023-01-18 08:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.328 s 0.204
2023-01-18 08:53 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s 0.112
2023-01-18 08:53 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.128
2023-01-18 08:54 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.894 s -0.715
2023-01-18 08:54 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.341 s -0.391
2023-01-18 08:55 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.660 s -1.181
2023-01-18 08:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.261 s -0.076
2023-01-18 08:55 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.260 s -0.008
2023-01-18 08:55 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.476 s -1.372
2023-01-18 08:55 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.322 s 0.115
2023-01-18 08:56 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.291 s -0.200
2023-01-18 08:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.377 s -0.094
2023-01-18 08:56 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.983 s -0.354
2023-01-18 08:57 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.607 s -0.181
2023-01-18 08:57 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.089 s -0.107
2023-01-18 08:57 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.080
2023-01-18 08:57 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s 0.001
2023-01-18 08:58 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.730 s 0.018
2023-01-18 08:58 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.889 s -0.523
2023-01-18 08:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.794 s 0.051
2023-01-18 08:58 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.165 s -0.796
2023-01-18 09:01 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.968 s -0.616
2023-01-18 09:03 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.711 s -0.207
2023-01-18 09:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.246 s 0.098
2023-01-18 09:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.203 s 0.321
2023-01-18 09:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.131
2023-01-18 09:04 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.312 s -0.149
2023-01-18 09:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.264 s 0.117
2023-01-18 09:04 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.358 s -0.442
2023-01-18 09:03 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.225 s 0.320
2023-01-18 09:03 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.454 s 0.108
2023-01-18 09:12 JavaScript vectorFromArray booleans 0.018 s 0.127
2023-01-18 09:12 JavaScript Iterate Vector uint32Array 0.002 s -0.381
2023-01-18 09:12 JavaScript Iterate Vector dictionary 0.004 s 0.045
2023-01-18 09:12 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.582
2023-01-18 09:12 JavaScript Spread Vector uint16Array 0.007 s -0.441
2023-01-18 09:12 JavaScript Spread Vector uint64Array 0.012 s -2.410
2023-01-18 09:12 JavaScript Spread Vector int16Array 0.007 s -0.787
2023-01-18 09:12 JavaScript Spread Vector int64Array 0.012 s -2.124
2023-01-18 09:12 JavaScript toArray Vector int32Array
2023-01-18 09:12 JavaScript Spread Vector uint32Array 0.007 s -1.002
2023-01-18 09:13 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 09:13 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.193 s -2.452
2023-01-18 09:12 JavaScript Iterate Vector uint16Array 0.002 s -0.468
2023-01-18 09:12 JavaScript Iterate Vector uint64Array 0.004 s -0.431
2023-01-18 09:12 JavaScript Iterate Vector int16Array 0.002 s -0.821
2023-01-18 09:12 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.590
2023-01-18 09:12 JavaScript Iterate Vector int8Array 0.002 s -0.764
2023-01-18 09:12 JavaScript Spread Vector float32Array 0.008 s -2.062
2023-01-18 09:12 JavaScript Spread Vector numbers 0.008 s -1.415
2023-01-18 09:12 JavaScript toArray Vector uint32Array
2023-01-18 09:12 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.038 s 0.825
2023-01-18 09:12 JavaScript vectorFromArray numbers 0.016 s 0.095
2023-01-18 09:12 JavaScript Iterate Vector booleans 0.004 s 0.695
2023-01-18 09:12 JavaScript Spread Vector booleans 0.010 s -0.079
2023-01-18 09:12 JavaScript toArray Vector uint64Array
2023-01-18 09:13 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.157
2023-01-18 09:12 JavaScript vectorFromArray dictionary 0.016 s 0.971
2023-01-18 09:12 JavaScript Iterate Vector float64Array 0.002 s -0.992
2023-01-18 09:12 JavaScript Iterate Vector string 0.127 s -0.686
2023-01-18 09:12 JavaScript toArray Vector uint16Array
2023-01-18 09:12 JavaScript get Vector int16Array 0.003 s -0.226
2023-01-18 09:12 JavaScript Iterate Vector uint8Array 0.002 s 0.422
2023-01-18 09:12 JavaScript Iterate Vector int32Array 0.002 s -1.094
2023-01-18 09:12 JavaScript Iterate Vector float32Array 0.002 s -1.496
2023-01-18 09:12 JavaScript Iterate Vector numbers 0.002 s -1.047
2023-01-18 09:12 JavaScript Spread Vector uint8Array 0.007 s -0.494
2023-01-18 09:12 JavaScript Iterate Vector int64Array 0.004 s -0.413
2023-01-18 09:12 JavaScript Spread Vector string 0.147 s -0.570
2023-01-18 09:12 JavaScript get Vector uint64Array 0.003 s 0.705
2023-01-18 09:12 JavaScript get Vector int64Array 0.003 s 0.383
2023-01-18 09:13 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.176
2023-01-18 09:12 JavaScript Spread Vector int8Array 0.007 s -0.258
2023-01-18 09:12 JavaScript toArray Vector int8Array
2023-01-18 09:12 JavaScript get Vector int8Array 0.003 s 0.533
2023-01-18 09:13 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.330
2023-01-18 09:13 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.976
2023-01-18 09:12 JavaScript Spread Vector int32Array 0.007 s -0.278
2023-01-18 09:12 JavaScript Spread Vector dictionary 0.010 s 0.247
2023-01-18 09:12 JavaScript toArray Vector uint8Array
2023-01-18 09:12 JavaScript toArray Vector dictionary 0.010 s -0.304
2023-01-18 09:13 JavaScript Table 1,000,000, tracks 0.263 s 0.586
2023-01-18 09:12 JavaScript Spread Vector float64Array 0.008 s -0.774
2023-01-18 09:12 JavaScript toArray Vector int64Array
2023-01-18 09:12 JavaScript toArray Vector float64Array
2023-01-18 09:12 JavaScript toArray Vector booleans 0.010 s -1.713
2023-01-18 09:12 JavaScript toArray Vector string 0.145 s 0.029
2023-01-18 09:12 JavaScript get Vector uint16Array 0.003 s 0.073
2023-01-18 09:12 JavaScript toArray Vector int16Array
2023-01-18 09:12 JavaScript get Vector float64Array 0.002 s 0.041
2023-01-18 09:12 JavaScript get Vector string 0.126 s -1.088
2023-01-18 09:13 JavaScript Table tracks, 1,000,000 0.288 s -0.914
2023-01-18 09:13 JavaScript Table tracks, 1,000,000 0.095 s -0.054
2023-01-18 09:12 JavaScript toArray Vector float32Array
2023-01-18 09:12 JavaScript toArray Vector numbers
2023-01-18 09:12 JavaScript get Vector uint8Array 0.003 s -0.054
2023-01-18 09:12 JavaScript get Vector uint32Array 0.003 s -0.213
2023-01-18 09:12 JavaScript get Vector float32Array 0.002 s 1.139
2023-01-18 09:12 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.568
2023-01-18 09:12 JavaScript get Vector int32Array 0.003 s -0.076
2023-01-18 09:12 JavaScript get Vector numbers 0.002 s -0.564
2023-01-18 09:13 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-18 09:13 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-18 09:13 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.191 s -1.176
2023-01-18 09:13 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.174
2023-01-18 09:12 JavaScript get Vector booleans 0.002 s 0.290
2023-01-18 09:12 JavaScript Parse write recordBatches, tracks 0.002 s 0.472
2023-01-18 09:13 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.862
2023-01-18 09:13 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.860
2023-01-18 09:13 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 1.073
2023-01-18 09:13 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.385
2023-01-18 09:12 JavaScript get Vector dictionary 0.002 s 1.321
2023-01-18 09:12 JavaScript Parse read recordBatches, tracks 0.000 s 0.810
2023-01-18 09:12 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.797
2023-01-18 09:13 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.911
2023-01-18 09:13 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-18 09:13 JavaScript Table tracks, 1,000,000 0.050 s -0.860
2023-01-18 09:13 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.397
2023-01-18 09:13 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.072