Top Outliers
Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-14 05:19 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.785 s -0.201
2023-01-14 05:19 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.230 s 0.339
2023-01-14 05:20 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 13.414 s 0.921
2023-01-14 05:21 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 13.385 s 0.902
2023-01-14 05:21 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.436 s 0.241
2023-01-14 05:22 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.472 s -0.967
2023-01-14 05:21 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.123 s 0.189
2023-01-14 05:22 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.335 s -0.798
2023-01-14 05:24 Python dataframe-to-table chi_traffic_2020_Q1 21.373 s -1.030
2023-01-14 05:24 Python dataframe-to-table type_floats 0.010 s 0.148
2023-01-14 05:24 Python dataframe-to-table type_dict 0.011 s 0.347
2023-01-14 05:25 Python dataset-filter nyctaxi_2010-01 0.991 s 0.391
2023-01-14 05:24 Python dataframe-to-table type_integers 0.010 s 0.041
2023-01-14 05:24 Python dataframe-to-table type_strings 0.428 s 0.117
2023-01-14 05:25 Python dataframe-to-table type_nested 2.971 s 0.320
2023-01-14 05:29 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 80.677 s 0.041
2023-01-14 05:33 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.176 s 0.485
2023-01-14 05:45 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.287 s 0.274
2023-01-14 05:45 Python dataset-read async=True, nyctaxi_multi_ipc_s3 225.330 s -0.543
2023-01-14 05:46 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.759 s 0.071
2023-01-14 05:46 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.849
2023-01-14 05:45 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.047 s 0.228
2023-01-14 05:45 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.656 s 0.226
2023-01-14 05:45 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.153 s 0.336
2023-01-14 05:45 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.051 s 0.198
2023-01-14 05:46 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.112 s 0.720
2023-01-14 05:45 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.222 s 0.065
2023-01-14 05:45 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.250 s 0.476
2023-01-14 05:45 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.145 s 0.379
2023-01-14 05:45 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.183 s 0.641
2023-01-14 05:46 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.304 s 0.430
2023-01-14 05:46 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.032
2023-01-14 05:46 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.708
2023-01-14 05:46 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.902 s 1.240
2023-01-14 05:46 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.711
2023-01-14 05:47 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.541 s 0.105
2023-01-14 05:50 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.007 s 1.028
2023-01-14 05:50 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.154 s -1.811
2023-01-14 05:51 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.152 s -0.483
2023-01-14 05:59 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.867 s 0.135
2023-01-14 05:59 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 1.300
2023-01-14 05:58 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.155 s 0.050
2023-01-14 05:58 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s -0.335
2023-01-14 05:58 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.280 s 0.834
2023-01-14 05:59 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.228 s -3.217
2023-01-14 05:59 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 2.977 s 0.961
2023-01-14 05:59 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.226 s -1.076
2023-01-14 06:00 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.717 s -0.235
2023-01-14 06:03 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.164 s 1.064
2023-01-14 06:03 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.407 s -0.061
2023-01-14 06:04 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.415 s -1.707
2023-01-14 06:13 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.591 s 0.573
2023-01-14 06:13 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.478 s -0.041
2023-01-14 06:13 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.616 s 0.476
2023-01-14 06:13 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.482 s 0.509
2023-01-14 06:13 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.306 s 0.374
2023-01-14 06:13 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.476 s 0.666
2023-01-14 06:14 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 1.220 s -3.191
2023-01-14 06:14 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 1.161 s -2.972
2023-01-14 06:14 Python file-read lz4, feather, table, fanniemae_2016Q4 0.805 s 0.509
2023-01-14 06:14 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 1.013 s -0.520
2023-01-14 06:14 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.614 s 0.417
2023-01-14 06:14 Python file-read uncompressed, feather, table, nyctaxi_2010-01 1.612 s -3.340
2023-01-14 06:14 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.198 s 0.866
2023-01-14 06:15 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 2.274 s -3.145
2023-01-14 06:14 Python file-read snappy, parquet, table, nyctaxi_2010-01 1.150 s -2.964
2023-01-14 06:15 Python file-read lz4, feather, table, nyctaxi_2010-01 0.747 s -0.463
2023-01-14 06:15 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.333 s 0.285
2023-01-14 06:15 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.380 s 0.450
2023-01-14 06:16 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.856 s 0.742
2023-01-14 06:17 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.527 s 0.671
2023-01-14 06:18 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.027 s 0.692
2023-01-14 06:18 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.318 s -0.083
2023-01-14 06:19 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.195 s 0.047
2023-01-14 06:19 Python file-write lz4, feather, table, fanniemae_2016Q4 1.838 s 0.078
2023-01-14 06:22 Python file-write lz4, feather, table, nyctaxi_2010-01 1.769 s 0.193
2023-01-14 06:22 Python wide-dataframe use_legacy_dataset=false 0.512 s 0.463
2023-01-14 06:20 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.861 s 0.576
2023-01-14 06:21 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.233 s 0.088
2023-01-14 06:21 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.126 s 0.117
2023-01-14 06:22 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.080 s 0.148
2023-01-14 06:22 Python wide-dataframe use_legacy_dataset=true 0.377 s 0.219
2023-01-14 06:22 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.164 s 0.214
2023-01-14 06:20 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.741 s 0.161
2023-01-14 06:21 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.649 s -0.031
2023-01-14 06:22 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.702 s 0.023
2023-01-14 06:31 R dataframe-to-table chi_traffic_2020_Q1, R 4.503 s -3.713
2023-01-14 06:31 R dataframe-to-table type_integers, R 0.010 s -0.100
2023-01-14 06:31 R dataframe-to-table type_dict, R 0.046 s 1.522
2023-01-14 06:31 R dataframe-to-table type_floats, R 0.013 s 0.672
2023-01-14 06:32 R dataframe-to-table type_nested, R 0.575 s -0.657
2023-01-14 06:32 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.553 s 0.524
2023-01-14 06:31 R dataframe-to-table type_strings, R 0.534 s 0.106
2023-01-14 06:32 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.300 s 0.466
2023-01-14 06:32 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.298 s 0.696
2023-01-14 06:33 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.311 s 0.245
2023-01-14 06:33 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.529 s 0.552
2023-01-14 06:32 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.546 s 0.637
2023-01-14 06:33 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.566 s 0.268
2023-01-14 06:33 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.848 s 0.245
2023-01-14 06:33 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.597 s 0.286
2023-01-14 06:34 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.897 s 0.293
2023-01-14 06:33 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.881 s 0.449
2023-01-14 06:34 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.885 s 0.562
2023-01-14 06:34 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.534 s 0.615
2023-01-14 06:34 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.214 s 0.358
2023-01-14 06:34 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.581 s 0.287
2023-01-14 06:34 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.812 s 0.333
2023-01-14 06:35 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.472 s 0.754
2023-01-14 06:37 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.510 s 0.222
2023-01-14 06:38 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.904 s 0.644
2023-01-14 06:40 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.934 s 0.463
2023-01-14 06:41 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.955 s 0.722
2023-01-14 06:42 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 9.024 s 0.258
2023-01-14 06:45 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.876 s -0.055
2023-01-14 06:49 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.306 s 1.491
2023-01-14 06:51 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.472 s -0.683
2023-01-14 06:43 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.491 s 0.363
2023-01-14 06:44 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.483 s 0.259
2023-01-14 06:47 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.603 s 0.006
2023-01-14 06:46 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.696 s -0.065
2023-01-14 06:52 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.546 s 0.575
2023-01-14 06:48 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.657 s -0.078
2023-01-14 06:52 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.083 s -0.760
2023-01-14 06:54 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.288 s 0.198
2023-01-14 06:56 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.301 s 0.260
2023-01-14 06:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.248
2023-01-14 06:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.270 s 0.195
2023-01-14 06:58 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.949 s -1.689
2023-01-14 06:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.348 s 0.292
2023-01-14 06:50 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.179 s -0.581
2023-01-14 06:54 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.002 s 0.214
2023-01-14 06:55 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.645 s 0.678
2023-01-14 06:52 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.198 s 0.299
2023-01-14 06:53 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.199 s 0.237
2023-01-14 06:55 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.333 s 0.324
2023-01-14 06:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.887 s 0.806
2023-01-14 06:52 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.594 s 0.421
2023-01-14 06:53 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.272 s 0.274
2023-01-14 06:54 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.279 s 0.115
2023-01-14 06:55 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.268 s 0.269
2023-01-14 06:52 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.552 s 0.463
2023-01-14 06:52 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.246 s 0.963
2023-01-14 06:53 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.582 s 0.164
2023-01-14 06:55 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.167
2023-01-14 06:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.299 s 0.224
2023-01-14 06:57 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.231 s 0.300
2023-01-14 06:56 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.580 s 0.256
2023-01-14 06:59 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.252
2023-01-14 07:00 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.200 s 0.293
2023-01-14 07:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.658 s 0.148
2023-01-14 06:53 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.279 s 0.221
2023-01-14 06:55 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.035 s 0.466
2023-01-14 07:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.177 s 0.340
2023-01-14 07:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.349 s 0.350
2023-01-14 07:02 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.289 s 0.314
2023-01-14 06:54 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.153
2023-01-14 06:54 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.347 s 0.215
2023-01-14 06:59 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.264 s 0.263
2023-01-14 06:53 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.238 s 0.282
2023-01-14 06:54 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.668 s 0.657
2023-01-14 06:55 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.431 s 0.210
2023-01-14 06:58 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.326 s 0.372
2023-01-14 06:59 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.227 s -0.843
2023-01-14 06:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.311 s 0.311
2023-01-14 06:59 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.320 s 0.215
2023-01-14 07:00 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.629 s 0.344
2023-01-14 07:01 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.159 s 0.303
2023-01-14 06:56 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.232
2023-01-14 06:57 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.537 s -0.496
2023-01-14 06:57 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.240 s 0.296
2023-01-14 07:02 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.349 s 0.243
2023-01-14 07:03 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.775 s 0.481
2023-01-14 06:57 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.197 s 0.292
2023-01-14 07:00 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.705 s -0.552
2023-01-14 07:02 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.260 s -0.297
2023-01-14 07:00 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.160 s 0.223
2023-01-14 07:02 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.292 s 0.266
2023-01-14 07:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.368 s 0.257
2023-01-14 07:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.444 s -0.143
2023-01-14 07:07 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.960 s -0.213
2023-01-14 06:59 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.635 s 0.170
2023-01-14 07:01 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.231 s 0.393
2023-01-14 07:05 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.322 s 0.317
2023-01-14 07:02 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.337 s 0.339
2023-01-14 07:02 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.369 s 0.358
2023-01-14 07:03 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.608 s -0.225
2023-01-14 07:07 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.298 s 0.303
2023-01-14 07:01 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.504 s 0.226
2023-01-14 07:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.392 s 0.275
2023-01-14 07:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.425 s 0.248
2023-01-14 07:05 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.702 s 0.137
2023-01-14 07:06 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.371 s 0.203
2023-01-14 07:07 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.106 s -0.061
2023-01-14 07:04 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.713 s 0.174
2023-01-14 07:06 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.764 s 0.310
2023-01-14 07:08 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.656 s -0.072
2023-01-14 07:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.332 s 0.259
2023-01-14 07:06 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.294 s 0.336
2023-01-14 07:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.320 s 0.244
2023-01-14 07:04 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.206
2023-01-14 07:05 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.617 s -0.124
2023-01-14 07:07 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.255 s 0.232
2023-01-14 07:05 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.269
2023-01-14 07:07 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.258 s 0.230
2023-01-14 07:08 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.902 s -1.504
2023-01-14 07:07 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.334 s 0.300
2023-01-14 07:09 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.398 s -5.258
2023-01-14 07:09 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.280 s -4.979
2023-01-14 07:09 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 4.193 s -4.975
2023-01-14 07:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.302 s 0.266
2023-01-14 07:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s 0.320
2023-01-14 07:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.229 s 0.253
2023-01-14 07:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.330 s 0.027
2023-01-14 07:10 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.865 s 0.130
2023-01-14 07:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.148 s 0.376
2023-01-14 07:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.123
2023-01-14 07:10 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.528 s 0.361
2023-01-14 07:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.360 s 0.320
2023-01-14 07:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.302 s -0.013
2023-01-14 07:11 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.872 s 0.124
2023-01-14 07:11 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.472 s 0.444
2023-01-14 07:12 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.146 s 0.275
2023-01-14 07:12 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.517 s 1.423
2023-01-14 07:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.194
2023-01-14 07:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.328 s 0.298
2023-01-14 07:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.235 s 0.060
2023-01-14 07:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.424 s -0.115
2023-01-14 07:13 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.863 s -0.740
2023-01-14 07:14 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.550 s -1.339
2023-01-14 07:13 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.587 s 0.384
2023-01-14 07:14 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.294 s 0.345
2023-01-14 07:14 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.264 s 0.209
2023-01-14 07:14 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.215 s 0.062
2023-01-14 07:14 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.241 s 0.137
2023-01-14 07:15 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.439 s 0.016
2023-01-14 07:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.917 s 0.324
2023-01-14 07:15 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.332 s 0.232
2023-01-14 07:16 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.635 s -2.587
2023-01-14 07:16 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.208 s 0.284
2023-01-14 07:16 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.989 s -1.043
2023-01-14 07:16 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.250 s 0.304
2023-01-14 07:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.283 s 0.234
2023-01-14 07:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.209 s 0.248
2023-01-14 07:17 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.584 s 0.123
2023-01-14 07:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.241 s 0.244
2023-01-14 07:17 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.600 s 0.853
2023-01-14 07:18 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.580 s -0.316
2023-01-14 07:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.323 s 0.272
2023-01-14 07:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.194 s 0.319
2023-01-14 07:18 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.219 s 0.340
2023-01-14 07:18 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.235 s 0.331
2023-01-14 07:18 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s 0.350
2023-01-14 07:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.060 s 0.160
2023-01-14 07:19 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.878 s 0.386
2023-01-14 07:19 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.521 s 0.326
2023-01-14 07:19 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.215 s 0.252
2023-01-14 07:19 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.266 s 0.238
2023-01-14 07:20 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.203
2023-01-14 07:20 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.955 s 0.158
2023-01-14 07:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.219 s 0.217
2023-01-14 07:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.257 s 0.195
2023-01-14 07:21 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.192 s 0.341
2023-01-14 07:21 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.240 s 0.294
2023-01-14 07:20 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.664 s 0.185
2023-01-14 07:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.403 s 0.273
2023-01-14 07:21 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.819 s -0.192
2023-01-14 07:21 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.207 s 0.298
2023-01-14 07:23 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.278 s -0.607
2023-01-14 07:21 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.263 s 0.231
2023-01-14 07:22 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.529 s 0.398
2023-01-14 07:22 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.432 s 0.671
2023-01-14 07:23 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.325 s 0.235
2023-01-14 07:23 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.270 s 0.233
2023-01-14 07:23 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.439 s 0.263
2023-01-14 07:23 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s 0.400
2023-01-14 07:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.883 s 0.368
2023-01-14 07:24 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.318 s 0.207
2023-01-14 07:25 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.255 s 0.235
2023-01-14 07:25 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.256 s 0.220
2023-01-14 07:24 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.588 s 1.331
2023-01-14 07:25 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.211 s 0.291
2023-01-14 07:25 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.318 s 0.249
2023-01-14 07:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.287 s 0.176
2023-01-14 07:26 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.368 s 0.305
2023-01-14 07:26 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.953 s 0.276
2023-01-14 07:27 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.982 s 0.080
2023-01-14 07:27 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.393 s 0.160
2023-01-14 07:26 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.604 s -0.004
2023-01-14 07:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.306 s 0.300
2023-01-14 07:42 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.106
2023-01-14 07:33 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.240 s 0.254
2023-01-14 07:33 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.259 s 0.257
2023-01-14 07:27 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s -0.090
2023-01-14 07:30 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.714 s 0.931
2023-01-14 07:28 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.859 s 0.769
2023-01-14 07:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.298 s 0.091
2023-01-14 07:28 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.791 s 0.045
2023-01-14 07:28 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.109 s 0.427
2023-01-14 07:32 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.300 s 1.148
2023-01-14 07:42 JavaScript Spread Vector uint32Array 0.007 s -2.533
2023-01-14 07:27 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.721 s 1.013
2023-01-14 07:33 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.448 s 0.267
2023-01-14 07:42 JavaScript Iterate Vector string 0.127 s -0.380
2023-01-14 07:42 JavaScript toArray Vector uint16Array
2023-01-14 07:42 JavaScript toArray Vector uint64Array
2023-01-14 07:42 JavaScript vectorFromArray booleans 0.018 s -0.168
2023-01-14 07:42 JavaScript Iterate Vector uint8Array 0.002 s 0.017
2023-01-14 07:42 JavaScript Spread Vector float32Array 0.008 s -1.232
2023-01-14 07:42 JavaScript toArray Vector uint8Array
2023-01-14 07:32 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.196 s 0.241
2023-01-14 07:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.207 s -0.143
2023-01-14 07:33 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.225 s 0.290
2023-01-14 07:42 JavaScript Iterate Vector numbers 0.002 s 0.326
2023-01-14 07:42 JavaScript Spread Vector int32Array 0.007 s -2.316
2023-01-14 07:42 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.781
2023-01-14 07:42 JavaScript Iterate Vector uint32Array 0.002 s 0.638
2023-01-14 07:42 JavaScript Spread Vector numbers 0.008 s -1.725
2023-01-14 07:42 JavaScript toArray Vector uint32Array
2023-01-14 07:42 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.594
2023-01-14 07:42 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.396
2023-01-14 07:42 JavaScript Table tracks, 1,000,000 0.260 s 0.508
2023-01-14 07:42 JavaScript Spread Vector uint64Array 0.012 s -0.481
2023-01-14 07:42 JavaScript toArray Vector int16Array
2023-01-14 07:42 JavaScript toArray Vector float64Array
2023-01-14 07:42 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.122
2023-01-14 07:42 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.068
2023-01-14 07:42 JavaScript Spread Vector float64Array 0.008 s -1.178
2023-01-14 07:42 JavaScript Spread Vector booleans 0.010 s -2.334
2023-01-14 07:42 JavaScript toArray Vector booleans 0.010 s -1.690
2023-01-14 07:42 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-14 07:42 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 07:42 JavaScript Spread Vector int16Array 0.007 s -3.044
2023-01-14 07:42 JavaScript Spread Vector int64Array 0.012 s -0.523
2023-01-14 07:42 JavaScript toArray Vector int64Array
2023-01-14 07:42 JavaScript toArray Vector string 0.145 s 0.216
2023-01-14 07:42 JavaScript get Vector int16Array 0.003 s -0.032
2023-01-14 07:42 JavaScript Table 1,000,000, tracks 0.261 s 0.569
2023-01-14 07:42 JavaScript Iterate Vector int8Array 0.002 s 0.396
2023-01-14 07:42 JavaScript Iterate Vector int32Array 0.002 s 0.331
2023-01-14 07:42 JavaScript Iterate Vector float32Array 0.002 s 0.877
2023-01-14 07:42 JavaScript Iterate Vector dictionary 0.004 s -1.666
2023-01-14 07:42 JavaScript Spread Vector uint8Array 0.007 s -2.558
2023-01-14 07:42 JavaScript vectorFromArray numbers 0.016 s 0.653
2023-01-14 07:42 JavaScript vectorFromArray dictionary 0.017 s 0.001
2023-01-14 07:42 JavaScript Iterate Vector uint16Array 0.002 s 0.838
2023-01-14 07:42 JavaScript Iterate Vector uint64Array 0.004 s 0.243
2023-01-14 07:42 JavaScript Iterate Vector int16Array 0.002 s 0.526
2023-01-14 07:42 JavaScript Iterate Vector int64Array 0.004 s 0.217
2023-01-14 07:42 JavaScript Iterate Vector float64Array 0.002 s 0.510
2023-01-14 07:42 JavaScript Iterate Vector booleans 0.004 s 0.456
2023-01-14 07:42 JavaScript Spread Vector uint16Array 0.007 s -2.871
2023-01-14 07:42 JavaScript Spread Vector string 0.147 s -0.588
2023-01-14 07:42 JavaScript get Vector uint64Array 0.003 s -0.127
2023-01-14 07:42 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.515
2023-01-14 07:42 JavaScript Spread Vector int8Array 0.007 s -2.448
2023-01-14 07:42 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-14 07:42 JavaScript Table tracks, 1,000,000 0.050 s 1.234
2023-01-14 07:42 JavaScript Spread Vector dictionary 0.010 s -2.675
2023-01-14 07:42 JavaScript toArray Vector int8Array
2023-01-14 07:42 JavaScript toArray Vector int32Array
2023-01-14 07:42 JavaScript toArray Vector numbers
2023-01-14 07:42 JavaScript get Vector int32Array 0.003 s -0.072
2023-01-14 07:42 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.001 s -2.268
2023-01-14 07:42 JavaScript toArray Vector float32Array
2023-01-14 07:42 JavaScript toArray Vector dictionary 0.010 s -2.923
2023-01-14 07:42 JavaScript get Vector uint8Array 0.003 s 0.073
2023-01-14 07:42 JavaScript get Vector uint32Array 0.003 s -0.020
2023-01-14 07:42 JavaScript get Vector int8Array 0.003 s 0.031
2023-01-14 07:42 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s -0.714
2023-01-14 07:42 JavaScript get Vector uint16Array 0.003 s -0.001
2023-01-14 07:42 JavaScript get Vector int64Array 0.003 s -0.042
2023-01-14 07:42 JavaScript get Vector float32Array 0.002 s 0.658
2023-01-14 07:42 JavaScript get Vector numbers 0.002 s 1.220
2023-01-14 07:42 JavaScript get Vector dictionary 0.002 s -0.882
2023-01-14 07:42 JavaScript Parse read recordBatches, tracks 0.000 s -2.749
2023-01-14 07:42 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-14 07:42 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.613
2023-01-14 07:42 JavaScript get Vector float64Array 0.002 s -0.661
2023-01-14 07:42 JavaScript get Vector booleans 0.002 s 0.149
2023-01-14 07:42 JavaScript get Vector string 0.124 s 0.651
2023-01-14 07:42 JavaScript Parse write recordBatches, tracks 0.002 s 0.321
2023-01-14 07:42 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -2.039
2023-01-14 07:42 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.964
2023-01-14 07:42 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.111
2023-01-14 07:42 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.890
2023-01-14 07:42 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.905
2023-01-14 07:42 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.110 s -2.869
2023-01-14 07:42 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.188 s -0.228
2023-01-14 07:42 JavaScript Table tracks, 1,000,000 0.095 s 0.026
2023-01-14 07:42 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.573
2023-01-14 07:42 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.431