Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-16 14:53 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.121 s 0.846
2022-11-16 14:51 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.265 s -1.100
2022-11-16 15:00 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 77.118 s 0.868
2022-11-16 14:53 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 11.851 s 0.531
2022-11-16 14:56 Python dataset-filter nyctaxi_2010-01 1.009 s -0.080
2022-11-16 14:51 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.688 s -0.873
2022-11-16 15:17 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.160 s 0.001
2022-11-16 14:54 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 11.808 s 0.440
2022-11-16 15:16 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.224 s 0.028
2022-11-16 15:17 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.204 s -0.687
2022-11-16 15:21 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.376 s 0.304
2022-11-16 15:17 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.512 s -0.373
2022-11-16 15:18 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.911 s 0.588
2022-11-16 15:19 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.549 s 3.840
2022-11-16 15:16 Python dataset-read async=True, nyctaxi_multi_ipc_s3 226.473 s -0.023
2022-11-16 14:53 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.428 s -0.569
2022-11-16 15:16 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.202 s -0.093
2022-11-16 14:52 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.090 s 0.819
2022-11-16 15:16 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.277 s 0.374
2022-11-16 15:17 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.508 s -0.079
2022-11-16 14:56 Python dataframe-to-table type_strings 0.448 s -0.052
2022-11-16 14:52 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.001 s 0.983
2022-11-16 14:56 Python dataframe-to-table type_nested 2.933 s -2.040
2022-11-16 15:17 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.329 s -0.107
2022-11-16 14:56 Python dataframe-to-table chi_traffic_2020_Q1 20.517 s -1.408
2022-11-16 15:16 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.051 s 0.126
2022-11-16 15:17 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.682 s -0.105
2022-11-16 15:17 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.655 s -1.256
2022-11-16 15:19 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.932 s 0.600
2022-11-16 15:19 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.305 s 3.421
2022-11-16 15:17 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.123 s 0.368
2022-11-16 15:17 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.668 s -1.232
2022-11-16 15:18 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.214 s 3.533
2022-11-16 15:19 Python file-read lz4, feather, table, nyctaxi_2010-01 0.688 s -0.049
2022-11-16 14:56 Python dataframe-to-table type_dict 0.011 s 1.334
2022-11-16 14:56 Python dataframe-to-table type_floats 0.011 s 0.251
2022-11-16 15:18 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.631 s 3.714
2022-11-16 15:22 Python file-write uncompressed, feather, table, fanniemae_2016Q4 5.101 s -0.623
2022-11-16 14:56 Python dataframe-to-table type_integers 0.010 s -0.525
2022-11-16 15:18 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.941 s -1.463
2022-11-16 15:05 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 81.919 s 0.293
2022-11-16 15:16 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.238 s 0.188
2022-11-16 15:18 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.978 s -0.864
2022-11-16 15:22 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.903 s 0.205
2022-11-16 15:18 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.980 s -0.959
2022-11-16 15:19 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.035 s 0.416
2022-11-16 15:20 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.575 s 0.259
2022-11-16 15:17 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.050 s 0.133
2022-11-16 15:18 Python file-read lz4, feather, table, fanniemae_2016Q4 0.833 s -0.999
2022-11-16 15:26 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.410 s 0.424
2022-11-16 15:23 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.736 s 0.203
2022-11-16 15:23 Python file-write lz4, feather, table, fanniemae_2016Q4 1.555 s 0.114
2022-11-16 15:25 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.027 s 0.659
2022-11-16 15:24 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.733 s 0.169
2022-11-16 15:24 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.600 s 0.624
2022-11-16 15:24 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.091 s 0.832
2022-11-16 15:25 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.520 s 0.907
2022-11-16 15:25 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.978 s -0.068
2022-11-16 15:26 Python wide-dataframe use_legacy_dataset=false 0.513 s 0.254
2022-11-16 15:26 Python file-write lz4, feather, table, nyctaxi_2010-01 1.659 s 0.319
2022-11-16 15:26 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.802 s 0.605
2022-11-16 15:26 Python wide-dataframe use_legacy_dataset=true 0.374 s 0.342
2022-11-16 15:35 R dataframe-to-table type_strings, R 0.537 s 0.809
2022-11-16 15:37 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s -0.799
2022-11-16 15:35 R dataframe-to-table chi_traffic_2020_Q1, R 4.336 s -0.316
2022-11-16 15:35 R dataframe-to-table type_floats, R 0.013 s 1.197
2022-11-16 15:36 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.327 s -0.902
2022-11-16 15:35 R dataframe-to-table type_dict, R 0.032 s 2.645
2022-11-16 15:37 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.843 s 0.959
2022-11-16 15:35 R dataframe-to-table type_integers, R 0.010 s 0.390
2022-11-16 15:35 R dataframe-to-table type_nested, R 0.571 s 1.005
2022-11-16 15:36 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.328 s -0.599
2022-11-16 15:36 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.590 s -0.993
2022-11-16 15:36 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.576 s -0.827
2022-11-16 15:36 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s -0.374
2022-11-16 15:37 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.556 s -1.154
2022-11-16 15:37 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.555 s -0.599
2022-11-16 15:42 R file-write snappy, parquet, table, fanniemae_2016Q4, R 9.915 s 0.388
2022-11-16 15:48 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.985 s 1.157
2022-11-16 15:37 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.595 s 0.221
2022-11-16 15:38 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.815 s 1.690
2022-11-16 15:49 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.957 s 0.394
2022-11-16 15:38 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.216 s -0.186
2022-11-16 15:38 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.582 s -0.060
2022-11-16 15:46 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.943 s 0.053
2022-11-16 15:38 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.901 s 0.741
2022-11-16 15:50 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.715 s 1.110
2022-11-16 15:37 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.900 s -0.735
2022-11-16 15:54 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.467 s 0.633
2022-11-16 15:39 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.503 s 0.317
2022-11-16 15:52 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.309 s -0.554
2022-11-16 15:38 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.897 s -0.105
2022-11-16 15:46 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.489 s 1.034
2022-11-16 15:47 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.382 s 0.622
2022-11-16 15:44 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.949 s 1.049
2022-11-16 15:53 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.319 s -0.925
2022-11-16 15:41 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.106 s 0.388
2022-11-16 15:52 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.906 s 0.619
2022-11-16 15:44 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 16.551 s 0.413
2022-11-16 15:55 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.220 s -0.738
2022-11-16 15:55 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.567 s -0.623
2022-11-16 15:55 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.553 s 0.134
2022-11-16 15:55 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.242 s 1.074
2022-11-16 15:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.195 s -0.005
2022-11-16 15:56 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.581 s 0.303
2022-11-16 15:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.196 s -0.013
2022-11-16 15:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.235 s 0.041
2022-11-16 15:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.278 s -0.219
2022-11-16 15:56 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.270 s 0.059
2022-11-16 15:56 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.585 s 0.057
2022-11-16 15:57 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.004 s 0.178
2022-11-16 15:57 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.275 s 0.186
2022-11-16 15:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.344 s -0.314
2022-11-16 15:57 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.707 s -0.032
2022-11-16 15:57 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.329 s 0.110
2022-11-16 15:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.284 s 0.791
2022-11-16 15:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.331 s 0.602
2022-11-16 15:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.222 s 0.870
2022-11-16 15:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.430 s -0.461
2022-11-16 16:01 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.237 s 0.353
2022-11-16 16:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.360 s 0.984
2022-11-16 15:58 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.654 s -0.188
2022-11-16 15:58 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.040 s 0.668
2022-11-16 16:02 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.311 s 0.879
2022-11-16 16:01 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.327 s -0.927
2022-11-16 16:05 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.283 s -0.388
2022-11-16 16:07 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.420 s -0.254
2022-11-16 16:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.369 s -1.625
2022-11-16 15:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.299 s 0.150
2022-11-16 16:02 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.172 s 0.062
2022-11-16 16:05 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.365 s 0.559
2022-11-16 16:08 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.757 s -0.571
2022-11-16 16:08 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.319 s -0.432
2022-11-16 16:12 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.718 s 0.055
2022-11-16 16:12 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.532 s -2.826
2022-11-16 16:00 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.193 s 0.533
2022-11-16 16:00 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.195 s 1.038
2022-11-16 16:05 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.284 s -0.166
2022-11-16 16:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.436 s 0.417
2022-11-16 16:10 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.946 s 0.689
2022-11-16 16:01 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.263 s 0.405
2022-11-16 16:04 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.174 s 0.606
2022-11-16 16:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.763 s 1.163
2022-11-16 15:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.264 s 0.809
2022-11-16 16:06 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.653 s -0.051
2022-11-16 16:02 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.255 s 0.892
2022-11-16 16:03 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.628 s 0.634
2022-11-16 16:00 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.899 s 1.266
2022-11-16 16:02 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.346 s 0.273
2022-11-16 16:05 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.329 s 1.049
2022-11-16 16:04 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.198 s 0.480
2022-11-16 16:04 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.505 s -0.187
2022-11-16 16:07 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.384 s 0.600
2022-11-16 15:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.226 s 0.958
2022-11-16 15:59 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.581 s 0.348
2022-11-16 16:00 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.592 s -1.761
2022-11-16 16:03 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.157 s 0.819
2022-11-16 16:04 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.158 s -1.300
2022-11-16 16:01 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.892 s 1.280
2022-11-16 16:06 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.338 s 0.909
2022-11-16 16:08 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.266 s 0.759
2022-11-16 16:04 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.230 s 0.321
2022-11-16 16:00 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.233 s -3.038
2022-11-16 16:02 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.634 s 0.357
2022-11-16 16:09 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.768 s -0.531
2022-11-16 16:10 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.188 s -1.555
2022-11-16 16:13 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.359 s -1.779
2022-11-16 16:02 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.308 s 0.256
2022-11-16 16:03 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.723 s -0.345
2022-11-16 16:11 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.651 s -0.327
2022-11-16 15:59 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.294 s 2.280
2022-11-16 16:02 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.261 s 0.825
2022-11-16 16:05 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.281 s 0.263
2022-11-16 16:10 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.246 s 1.021
2022-11-16 16:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.534 s -1.870
2022-11-16 16:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.426 s 0.120
2022-11-16 16:20 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.622 s -0.984
2022-11-16 16:22 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.315 s 0.460
2022-11-16 16:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.330 s 0.717
2022-11-16 16:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.893 s 1.108
2022-11-16 16:12 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.205 s 0.610
2022-11-16 16:13 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.294 s 0.176
2022-11-16 16:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.230 s 0.043
2022-11-16 16:23 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.768 s -0.609
2022-11-16 16:06 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.620 s -0.481
2022-11-16 16:15 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.165 s 0.226
2022-11-16 16:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.234 s 0.880
2022-11-16 16:12 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.329 s -0.959
2022-11-16 16:24 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.536 s 0.168
2022-11-16 16:04 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.348 s -0.682
2022-11-16 16:10 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.251 s 0.791
2022-11-16 16:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.323 s -0.110
2022-11-16 16:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.245 s 0.223
2022-11-16 16:08 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.607 s 0.094
2022-11-16 16:20 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.235 s -0.274
2022-11-16 16:23 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.238 s -0.039
2022-11-16 16:13 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.170 s -0.551
2022-11-16 16:15 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.410 s -0.322
2022-11-16 16:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.254 s 0.682
2022-11-16 16:20 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.220 s -1.499
2022-11-16 16:24 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.493 s 0.288
2022-11-16 16:07 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.325 s 0.695
2022-11-16 16:11 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.315 s 0.786
2022-11-16 16:14 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.471 s -1.182
2022-11-16 16:18 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 5.747 s 0.008
2022-11-16 16:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.581 s -0.263
2022-11-16 16:07 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.710 s -0.345
2022-11-16 16:12 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.299 s -0.404
2022-11-16 16:14 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.869 s -0.842
2022-11-16 16:17 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.204 s 0.479
2022-11-16 16:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.879 s 0.954
2022-11-16 16:25 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.430 s -0.794
2022-11-16 16:27 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.532
2022-11-16 16:09 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.291 s 0.769
2022-11-16 16:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.824 s -0.540
2022-11-16 16:44 JavaScript Spread Vector uint16Array 0.006 s 0.237
2022-11-16 16:44 JavaScript Spread Vector int16Array 0.006 s 0.320
2022-11-16 16:44 JavaScript Spread Vector string 0.145 s 0.381
2022-11-16 16:44 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.187 s 0.373
2022-11-16 16:10 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.292 s 1.168
2022-11-16 16:10 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.332 s -0.789
2022-11-16 16:12 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.257 s -0.020
2022-11-16 16:21 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.324 s 0.196
2022-11-16 16:26 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.864 s -0.170
2022-11-16 16:34 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.495 s 1.309
2022-11-16 16:35 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.256 s 0.054
2022-11-16 16:12 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.225 s 0.675
2022-11-16 16:15 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.178 s 0.211
2022-11-16 16:15 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.322 s 1.012
2022-11-16 16:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.588 s -1.108
2022-11-16 16:25 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.435 s -0.685
2022-11-16 16:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.944 s 0.287
2022-11-16 16:13 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.860 s 0.514
2022-11-16 16:13 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.204 s -1.614
2022-11-16 16:17 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.928 s -0.709
2022-11-16 16:18 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.526 s -1.277
2022-11-16 16:19 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.279 s -0.226
2022-11-16 16:23 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.260 s 0.651
2022-11-16 16:29 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.436 s 0.763
2022-11-16 16:13 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.252 s -1.695
2022-11-16 16:20 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.601 s -0.438
2022-11-16 16:28 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.286 s 1.135
2022-11-16 16:29 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.383 s -0.530
2022-11-16 16:28 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.599 s 1.254
2022-11-16 16:29 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.720 s -0.919
2022-11-16 16:44 JavaScript toArray Vector dictionary 0.010 s 1.630
2022-11-16 16:21 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.262 s 0.175
2022-11-16 16:22 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.976 s -1.006
2022-11-16 16:28 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.366 s 0.583
2022-11-16 16:44 JavaScript Iterate Vector uint64Array 0.004 s 0.177
2022-11-16 16:44 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s 0.163
2022-11-16 16:15 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.223 s -0.074
2022-11-16 16:16 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.339 s -0.559
2022-11-16 16:19 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.203 s 0.659
2022-11-16 16:23 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s -1.280
2022-11-16 16:23 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.206 s 0.236
2022-11-16 16:24 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.406 s -0.322
2022-11-16 16:27 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.258 s 0.021
2022-11-16 16:35 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.296 s 0.102
2022-11-16 16:44 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.531
2022-11-16 16:44 JavaScript Table tracks, 1,000,000 0.050 s 0.147
2022-11-16 16:16 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.293 s -0.399
2022-11-16 16:20 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.193 s -1.648
2022-11-16 16:21 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.211 s 0.283
2022-11-16 16:34 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.238 s 0.039
2022-11-16 16:18 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.201 s 0.663
2022-11-16 16:22 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.215 s 0.082
2022-11-16 16:25 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.266 s -0.794
2022-11-16 16:26 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.415 s -0.374
2022-11-16 16:30 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.906 s -0.484
2022-11-16 16:35 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.451 s -2.409
2022-11-16 16:44 JavaScript toArray Vector numbers
2022-11-16 16:20 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.281 s -0.073
2022-11-16 16:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.519 s 1.191
2022-11-16 16:21 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.029 s 0.891
2022-11-16 16:26 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.304 s -0.267
2022-11-16 16:29 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 5.890 s -0.289
2022-11-16 16:32 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.011 s -0.304
2022-11-16 16:34 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.193 s 0.410
2022-11-16 16:35 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.199 s 0.354
2022-11-16 16:22 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.253 s 0.322
2022-11-16 16:44 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.966
2022-11-16 16:22 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.660 s 0.544
2022-11-16 16:44 JavaScript Iterate Vector uint8Array 0.002 s -0.004
2022-11-16 16:44 JavaScript Iterate Vector int8Array 0.002 s -0.741
2022-11-16 16:44 JavaScript toArray Vector uint32Array
2022-11-16 16:44 JavaScript toArray Vector int8Array
2022-11-16 16:27 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.113 s -1.221
2022-11-16 16:27 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.317 s 0.140
2022-11-16 16:35 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.301 s 0.752
2022-11-16 16:25 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.233 s -0.192
2022-11-16 16:25 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.320 s -0.781
2022-11-16 16:44 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.108 s -0.147
2022-11-16 16:44 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2022-11-16 16:29 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.774 s 1.096
2022-11-16 16:30 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.106 s 0.741
2022-11-16 16:44 JavaScript vectorFromArray numbers 0.016 s 0.390
2022-11-16 16:44 JavaScript vectorFromArray dictionary 0.016 s 1.300
2022-11-16 16:35 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.220 s 0.785
2022-11-16 16:44 JavaScript Spread Vector uint64Array 0.012 s 1.319
2022-11-16 16:44 JavaScript Spread Vector int64Array 0.012 s 2.306
2022-11-16 16:44 JavaScript get Vector booleans 0.002 s 0.609
2022-11-16 16:44 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.298
2022-11-16 16:44 JavaScript vectorFromArray booleans 0.018 s -0.090
2022-11-16 16:44 JavaScript Iterate Vector uint32Array 0.002 s -0.109
2022-11-16 16:44 JavaScript Iterate Vector int32Array 0.002 s -1.170
2022-11-16 16:44 JavaScript Spread Vector int32Array 0.006 s 0.152
2022-11-16 16:44 JavaScript toArray Vector float32Array
2022-11-16 16:44 JavaScript Table tracks, 1,000,000 0.284 s -0.543
2022-11-16 16:44 JavaScript Iterate Vector int16Array 0.002 s -0.964
2022-11-16 16:44 JavaScript Iterate Vector int64Array 0.004 s 0.105
2022-11-16 16:44 JavaScript Iterate Vector string 0.127 s -0.270
2022-11-16 16:44 JavaScript toArray Vector int64Array
2022-11-16 16:44 JavaScript toArray Vector booleans 0.010 s 1.941
2022-11-16 16:44 JavaScript toArray Vector string 0.146 s -0.067
2022-11-16 16:44 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2022-11-16 16:44 JavaScript Iterate Vector uint16Array 0.002 s -0.837
2022-11-16 16:44 JavaScript Spread Vector float64Array 0.008 s 0.185
2022-11-16 16:44 JavaScript toArray Vector uint16Array
2022-11-16 16:44 JavaScript toArray Vector uint64Array
2022-11-16 16:44 JavaScript toArray Vector float64Array
2022-11-16 16:44 JavaScript Iterate Vector float32Array 0.002 s -1.844
2022-11-16 16:44 JavaScript Iterate Vector dictionary 0.004 s 0.859
2022-11-16 16:44 JavaScript toArray Vector int32Array
2022-11-16 16:44 JavaScript Parse read recordBatches, tracks 0.000 s -0.196
2022-11-16 16:44 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.249
2022-11-16 16:44 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.475
2022-11-16 16:44 JavaScript Iterate Vector float64Array 0.002 s -1.004
2022-11-16 16:44 JavaScript Iterate Vector booleans 0.004 s 0.676
2022-11-16 16:44 JavaScript Spread Vector booleans 0.010 s 1.986
2022-11-16 16:44 JavaScript toArray Vector int16Array
2022-11-16 16:44 JavaScript Iterate Vector numbers 0.002 s -0.924
2022-11-16 16:44 JavaScript Spread Vector uint8Array 0.006 s 0.255
2022-11-16 16:44 JavaScript Spread Vector float32Array 0.008 s 0.157
2022-11-16 16:44 JavaScript Spread Vector numbers 0.008 s 0.211
2022-11-16 16:44 JavaScript Spread Vector dictionary 0.010 s 1.557
2022-11-16 16:44 JavaScript toArray Vector uint8Array
2022-11-16 16:44 JavaScript Spread Vector uint32Array 0.007 s 0.150
2022-11-16 16:44 JavaScript Spread Vector int8Array 0.006 s 0.138
2022-11-16 16:44 JavaScript get Vector uint8Array 0.003 s -1.355
2022-11-16 16:44 JavaScript get Vector uint32Array 0.003 s -1.712
2022-11-16 16:44 JavaScript get Vector int8Array 0.003 s -1.217
2022-11-16 16:44 JavaScript get Vector int32Array 0.003 s -2.166
2022-11-16 16:44 JavaScript get Vector float32Array 0.002 s -0.014
2022-11-16 16:44 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.151
2022-11-16 16:44 JavaScript get Vector uint16Array 0.003 s -0.525
2022-11-16 16:44 JavaScript get Vector uint64Array 0.003 s -1.647
2022-11-16 16:44 JavaScript get Vector int16Array 0.003 s -1.470
2022-11-16 16:44 JavaScript get Vector int64Array 0.003 s -0.673
2022-11-16 16:44 JavaScript get Vector float64Array 0.002 s 0.077
2022-11-16 16:44 JavaScript get Vector string 0.126 s -0.614
2022-11-16 16:44 JavaScript get Vector numbers 0.002 s 0.106
2022-11-16 16:44 JavaScript get Vector dictionary 0.002 s 0.152
2022-11-16 16:44 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.187
2022-11-16 16:44 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.089
2022-11-16 16:44 JavaScript Parse write recordBatches, tracks 0.002 s 0.627
2022-11-16 16:44 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.587
2022-11-16 16:44 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.254
2022-11-16 16:44 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s 0.192
2022-11-16 16:44 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.831
2022-11-16 16:44 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s 0.695
2022-11-16 16:44 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 16:44 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s 0.285
2022-11-16 16:44 JavaScript Table 1,000,000, tracks 0.313 s -1.819
2022-11-16 16:44 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2022-11-16 16:44 JavaScript Table tracks, 1,000,000 0.094 s 0.901
2022-11-16 16:44 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s -0.015
2022-11-16 16:44 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 0.067