Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-15 21:25 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.682 s 0.192
2023-01-15 21:00 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.101 s -1.307
2023-01-15 21:01 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.437 s 0.236
2023-01-15 21:04 Python dataframe-to-table type_strings 0.429 s -0.289
2023-01-15 21:00 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.072 s -1.104
2023-01-15 21:01 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.504 s 1.072
2023-01-15 21:04 Python dataframe-to-table type_integers 0.010 s 0.023
2023-01-15 21:04 Python dataframe-to-table type_nested 2.953 s 0.845
2023-01-15 21:24 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.307 s 0.187
2023-01-15 20:59 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.788 s -0.273
2023-01-15 20:59 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.238 s 0.307
2023-01-15 21:01 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.130 s 0.128
2023-01-15 21:02 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.454 s 1.036
2023-01-15 21:04 Python dataframe-to-table chi_traffic_2020_Q1 21.214 s -0.531
2023-01-15 21:04 Python dataframe-to-table type_dict 0.011 s 0.636
2023-01-15 21:04 Python dataframe-to-table type_floats 0.010 s 0.253
2023-01-15 21:04 Python dataset-filter nyctaxi_2010-01 1.028 s -0.244
2023-01-15 21:09 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 84.233 s -0.375
2023-01-15 21:13 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 83.863 s -0.264
2023-01-15 21:25 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.171 s -0.364
2023-01-15 21:25 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s -0.069
2023-01-15 21:24 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.360 s -0.297
2023-01-15 21:24 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.183 s 0.159
2023-01-15 21:25 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.035 s 0.255
2023-01-15 21:24 Python dataset-read async=True, nyctaxi_multi_ipc_s3 220.428 s 0.378
2023-01-15 21:24 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.190 s 0.350
2023-01-15 21:25 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.045 s 0.216
2023-01-15 21:25 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.132 s 0.088
2023-01-15 21:26 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.935 s -2.131
2023-01-15 21:25 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.206 s -0.157
2023-01-15 21:25 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.758 s 0.977
2023-01-15 21:25 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.080
2023-01-15 21:26 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s 0.663
2023-01-15 21:26 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.200 s -1.015
2023-01-15 21:25 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -1.250
2023-01-15 21:26 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.534 s 0.880
2023-01-15 21:30 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.150 s -0.385
2023-01-15 21:30 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.335 s -2.141
2023-01-15 21:30 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.148 s 1.063
2023-01-15 21:56 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.905 s -1.617
2023-01-15 22:01 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.911 s -2.055
2023-01-15 22:02 Python file-write lz4, feather, table, nyctaxi_2010-01 1.920 s -1.060
2023-01-15 22:12 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.313 s 0.231
2023-01-15 22:13 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.312 s 0.265
2023-01-15 21:39 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.051 s -1.924
2023-01-15 21:39 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s -0.477
2023-01-15 21:53 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.585 s -2.487
2023-01-15 21:38 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.866 s 1.003
2023-01-15 21:59 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.772 s -0.969
2023-01-15 22:02 Python wide-dataframe use_legacy_dataset=true 0.379 s 0.094
2023-01-15 22:13 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.914 s -0.097
2023-01-15 22:14 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.916 s -0.159
2023-01-15 22:33 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.555 s 0.359
2023-01-15 21:54 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.331 s 0.332
2023-01-15 21:55 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.957 s -3.068
2023-01-15 21:59 Python file-write lz4, feather, table, fanniemae_2016Q4 2.001 s -1.328
2023-01-15 22:00 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 6.011 s -1.557
2023-01-15 22:01 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.334 s -1.475
2023-01-15 22:12 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.571 s -0.010
2023-01-15 22:12 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.590 s -0.609
2023-01-15 22:30 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.311 s -0.243
2023-01-15 22:33 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.600 s -0.856
2023-01-15 22:34 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.282 s 0.208
2023-01-15 22:36 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.350 s 0.109
2023-01-15 22:36 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.060 s -0.606
2023-01-15 21:39 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.226 s -1.267
2023-01-15 21:40 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.691 s 1.240
2023-01-15 21:52 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.619 s 0.300
2023-01-15 21:53 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.319 s 0.344
2023-01-15 21:53 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.615 s 0.373
2023-01-15 21:56 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.328 s -1.590
2023-01-15 22:11 R dataframe-to-table type_integers, R 0.010 s 0.595
2023-01-15 22:36 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.667 s -1.474
2023-01-15 22:39 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.272 s 0.121
2023-01-15 22:40 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.186 s 0.186
2023-01-15 22:45 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.349 s -1.695
2023-01-15 22:48 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.382 s -1.868
2023-01-15 21:54 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.963 s 0.311
2023-01-15 21:54 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.925 s 0.182
2023-01-15 21:58 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.406 s -1.216
2023-01-15 22:12 R dataframe-to-table type_nested, R 0.575 s -0.617
2023-01-15 21:38 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.025 s 0.867
2023-01-15 21:52 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.261 s 1.262
2023-01-15 21:53 Python file-read lz4, feather, table, fanniemae_2016Q4 0.814 s 0.291
2023-01-15 22:11 R dataframe-to-table type_dict, R 0.047 s 1.168
2023-01-15 22:12 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.326 s -0.217
2023-01-15 22:13 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.571 s -0.211
2023-01-15 22:14 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.573 s -0.330
2023-01-15 22:26 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 4.985 s -1.262
2023-01-15 22:27 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.892 s -2.293
2023-01-15 22:29 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.757 s -1.216
2023-01-15 21:38 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 76.054 s 0.928
2023-01-15 21:38 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.026 s 1.029
2023-01-15 21:53 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.504 s -0.146
2023-01-15 21:53 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.202 s 0.592
2023-01-15 21:54 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.952 s -0.145
2023-01-15 22:01 Python file-write uncompressed, feather, table, nyctaxi_2010-01 3.029 s -1.310
2023-01-15 22:11 R dataframe-to-table type_strings, R 0.535 s -0.249
2023-01-15 22:14 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 1.569 s -1.607
2023-01-15 22:15 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 1.850 s -3.488
2023-01-15 22:25 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.453 s 0.970
2023-01-15 22:28 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.720 s -1.294
2023-01-15 22:34 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.253
2023-01-15 22:35 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s 0.007
2023-01-15 22:38 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.898 s 0.044
2023-01-15 22:41 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.663 s -2.220
2023-01-15 21:43 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.918 s -1.896
2023-01-15 21:43 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.411 s -0.291
2023-01-15 21:54 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.987 s -0.032
2023-01-15 21:54 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.585 s 0.336
2023-01-15 22:11 R dataframe-to-table type_floats, R 0.013 s 0.624
2023-01-15 22:13 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.569 s 0.275
2023-01-15 22:13 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.847 s 0.267
2023-01-15 22:16 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.864 s -1.606
2023-01-15 22:21 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.220 s -1.142
2023-01-15 22:23 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.999 s 0.917
2023-01-15 22:33 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.084 s -0.780
2023-01-15 22:35 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.712 s 0.486
2023-01-15 22:36 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.432 s 0.180
2023-01-15 22:38 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.198 s 0.318
2023-01-15 22:40 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.314 s 0.231
2023-01-15 21:38 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.287 s -1.766
2023-01-15 21:43 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.408 s -0.281
2023-01-15 21:52 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.648 s 0.178
2023-01-15 21:54 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.930 s 0.355
2023-01-15 21:58 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.831 s -0.926
2023-01-15 22:00 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.480 s -1.657
2023-01-15 22:02 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.469 s -1.553
2023-01-15 22:02 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.372 s -1.393
2023-01-15 22:11 R dataframe-to-table chi_traffic_2020_Q1, R 4.390 s -1.773
2023-01-15 22:13 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.594 s 0.319
2023-01-15 22:14 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.322
2023-01-15 22:15 R file-read lz4, feather, table, nyctaxi_2010-01, R 1.529 s -3.310
2023-01-15 22:18 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.759 s -1.106
2023-01-15 22:19 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.274 s -1.573
2023-01-15 22:22 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.973 s -2.004
2023-01-15 22:31 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.174 s -0.295
2023-01-15 21:54 Python file-read lz4, feather, table, nyctaxi_2010-01 0.669 s 0.363
2023-01-15 21:59 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.980 s -0.443
2023-01-15 22:02 Python wide-dataframe use_legacy_dataset=false 0.513 s 0.439
2023-01-15 22:24 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.494 s -0.357
2023-01-15 22:32 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.475 s -1.838
2023-01-15 22:38 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.522 s -0.076
2023-01-15 22:34 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.268
2023-01-15 22:35 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.158
2023-01-15 22:36 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.191
2023-01-15 22:37 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.590 s -0.015
2023-01-15 22:42 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.229 s -3.472
2023-01-15 22:44 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.525 s -3.294
2023-01-15 22:45 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.431 s -1.771
2023-01-15 22:46 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.811 s -3.176
2023-01-15 22:48 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.400 s -2.266
2023-01-15 22:50 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.649 s -2.322
2023-01-15 22:53 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.299 s 0.273
2023-01-15 22:54 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.335 s 0.280
2023-01-15 22:54 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.656 s 0.019
2023-01-15 22:55 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.262 s 0.224
2023-01-15 22:56 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.208 s 0.204
2023-01-15 22:56 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.304 s -0.138
2023-01-15 22:58 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.240 s -0.020
2023-01-15 22:34 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.275 s 0.063
2023-01-15 22:36 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.335 s 0.176
2023-01-15 22:38 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.231 s 0.343
2023-01-15 22:39 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.331 s 0.270
2023-01-15 22:39 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.923 s -0.297
2023-01-15 22:40 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.683 s -1.155
2023-01-15 22:53 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.146 s -0.215
2023-01-15 22:58 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.693 s -3.109
2023-01-15 23:01 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.372 s -2.464
2023-01-15 23:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.818 s -2.935
2023-01-15 23:06 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.285 s 0.253
2023-01-15 23:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.531 s 0.097
2023-01-15 23:08 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.323 s 0.213
2023-01-15 23:11 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.272 s 0.200
2023-01-15 23:21 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.260 s 0.276
2023-01-15 23:21 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.456 s 0.054
2023-01-15 23:30 JavaScript toArray Vector booleans 0.010 s 1.190
2023-01-15 22:33 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.606 s -0.326
2023-01-15 22:34 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.259
2023-01-15 22:34 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.589 s -0.143
2023-01-15 22:35 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.001 s 0.423
2023-01-15 22:35 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.192
2023-01-15 22:37 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.235
2023-01-15 22:37 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.205
2023-01-15 22:37 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.302 s 0.024
2023-01-15 22:39 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.241 s 0.317
2023-01-15 22:33 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.256 s -0.543
2023-01-15 22:40 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.266 s 0.193
2023-01-15 22:45 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.489 s -2.472
2023-01-15 22:50 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 4.257 s -3.765
2023-01-15 22:52 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.505 s -3.451
2023-01-15 22:56 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.262 s -0.781
2023-01-15 22:57 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.493 s -1.282
2023-01-15 23:00 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.955 s -3.645
2023-01-15 23:01 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.446 s -3.248
2023-01-15 23:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.099 s -0.102
2023-01-15 23:07 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.269 s 0.196
2023-01-15 23:11 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.498 s -1.785
2023-01-15 23:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.178 s -0.604
2023-01-15 23:21 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.133
2023-01-15 23:21 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.227 s 0.240
2023-01-15 23:30 JavaScript get Vector string 0.123 s 1.422
2023-01-15 22:37 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.132
2023-01-15 22:38 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.200 s 0.302
2023-01-15 22:40 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.327 s -0.169
2023-01-15 22:43 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.360 s -3.110
2023-01-15 22:43 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.629 s -3.330
2023-01-15 22:44 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.394 s -2.017
2023-01-15 22:45 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.349 s -1.916
2023-01-15 22:46 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.427 s -2.688
2023-01-15 22:47 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.835 s -2.130
2023-01-15 22:52 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.771 s 0.222
2023-01-15 22:53 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.972 s -0.847
2023-01-15 22:53 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.261 s 0.154
2023-01-15 22:56 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.113
2023-01-15 23:02 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 1.120 s -3.010
2023-01-15 23:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.677 s -3.199
2023-01-15 23:06 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.262
2023-01-15 23:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.325 s 0.199
2023-01-15 23:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.891 s -0.270
2023-01-15 23:07 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.236
2023-01-15 23:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.665 s 0.166
2023-01-15 22:40 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.261 s 0.147
2023-01-15 22:42 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.217 s -2.696
2023-01-15 22:48 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.522 s -3.056
2023-01-15 22:56 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.542 s -0.060
2023-01-15 22:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.972 s -3.469
2023-01-15 23:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.303 s -3.503
2023-01-15 23:03 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.286 s -3.284
2023-01-15 23:04 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.411 s -3.786
2023-01-15 23:06 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.238 s 0.261
2023-01-15 23:09 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.282
2023-01-15 23:14 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.372 s 0.163
2023-01-15 23:14 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.992 s -0.466
2023-01-15 23:16 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.800 s -0.175
2023-01-15 23:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 30.178 s -2.759
2023-01-15 23:30 JavaScript Spread Vector int8Array 0.006 s 0.733
2023-01-15 23:30 JavaScript toArray Vector int64Array
2023-01-15 22:40 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.352 s 0.187
2023-01-15 22:52 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.485 s -2.954
2023-01-15 22:55 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.210 s 0.174
2023-01-15 22:55 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.332 s -0.091
2023-01-15 22:56 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.871 s -0.223
2023-01-15 22:57 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.919 s -0.539
2023-01-15 22:58 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.336 s -0.282
2023-01-15 22:59 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.644 s -3.152
2023-01-15 23:03 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 7.008 s -4.279
2023-01-15 23:05 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.722 s -3.455
2023-01-15 23:06 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.298
2023-01-15 23:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.536 s 0.165
2023-01-15 23:11 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.443 s 0.137
2023-01-15 23:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.336 s -0.355
2023-01-15 23:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.606 s -0.084
2023-01-15 23:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.921 s -2.491
2023-01-15 23:21 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.310 s 0.039
2023-01-15 23:30 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s 0.465
2023-01-15 22:42 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 4.037 s -4.584
2023-01-15 22:55 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.232 s 0.136
2023-01-15 22:57 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.368 s -0.037
2023-01-15 23:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.291 s -2.689
2023-01-15 23:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.184
2023-01-15 23:09 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.208 s 0.276
2023-01-15 23:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.406 s 0.053
2023-01-15 23:13 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.321 s 0.105
2023-01-15 23:14 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.288 s 0.101
2023-01-15 23:21 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.241
2023-01-15 23:30 JavaScript vectorFromArray booleans 0.017 s 0.580
2023-01-15 23:30 JavaScript Iterate Vector uint32Array 0.002 s -2.523
2023-01-15 23:30 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -1.137
2023-01-15 22:42 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.310 s -3.807
2023-01-15 22:43 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.206 s -1.101
2023-01-15 22:47 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 4.075 s -3.109
2023-01-15 22:48 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.556 s -3.417
2023-01-15 22:49 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.432 s -2.761
2023-01-15 22:49 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.863 s -3.824
2023-01-15 22:51 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.348 s -3.083
2023-01-15 22:51 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.458 s -3.371
2023-01-15 22:51 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.357 s -2.873
2023-01-15 22:53 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.188
2023-01-15 22:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.322 s 0.128
2023-01-15 22:54 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.877 s 0.069
2023-01-15 22:55 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.748 s -0.161
2023-01-15 22:55 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.241
2023-01-15 22:58 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.526 s -0.736
2023-01-15 22:58 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.185 s 0.090
2023-01-15 22:59 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.507 s -3.953
2023-01-15 23:00 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.465 s -3.353
2023-01-15 23:04 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.374 s -3.197
2023-01-15 23:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.235
2023-01-15 23:01 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.313 s -2.922
2023-01-15 23:02 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.480 s -2.571
2023-01-15 23:03 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.658 s -2.565
2023-01-15 23:04 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.292 s -4.020
2023-01-15 23:09 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 7.156 s -0.949
2023-01-15 23:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.239
2023-01-15 23:13 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.676 s -2.495
2023-01-15 23:16 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.190 s -2.074
2023-01-15 23:30 JavaScript vectorFromArray numbers 0.016 s 0.408
2023-01-15 23:30 JavaScript vectorFromArray dictionary 0.017 s -0.006
2023-01-15 23:30 JavaScript Iterate Vector uint16Array 0.002 s -3.243
2023-01-15 23:30 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.025
2023-01-15 23:08 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.990 s -0.295
2023-01-15 23:11 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.440 s 0.080
2023-01-15 23:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.892 s -0.702
2023-01-15 23:13 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.257 s 0.105
2023-01-15 23:14 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.258 s 0.047
2023-01-15 23:15 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.452 s 0.024
2023-01-15 23:30 JavaScript Iterate Vector numbers 0.002 s -2.023
2023-01-15 23:30 JavaScript Iterate Vector dictionary 0.004 s -3.090
2023-01-15 23:30 JavaScript Spread Vector uint8Array 0.006 s 0.581
2023-01-15 23:30 JavaScript Spread Vector numbers 0.008 s 0.561
2023-01-15 23:09 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.193 s 0.349
2023-01-15 23:11 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.327 s 0.259
2023-01-15 23:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.344 s -0.307
2023-01-15 23:30 JavaScript Spread Vector uint16Array 0.006 s 0.535
2023-01-15 23:30 JavaScript toArray Vector uint16Array
2023-01-15 23:30 JavaScript toArray Vector uint64Array
2023-01-15 23:30 JavaScript get Vector float32Array 0.002 s 1.145
2023-01-15 23:30 JavaScript get Vector numbers 0.002 s -0.585
2023-01-15 23:11 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.399 s -1.384
2023-01-15 23:15 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.394 s 0.078
2023-01-15 23:15 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.734 s -0.555
2023-01-15 23:30 JavaScript Iterate Vector booleans 0.004 s 0.365
2023-01-15 23:30 JavaScript Iterate Vector string 0.126 s 0.315
2023-01-15 23:30 JavaScript toArray Vector numbers
2023-01-15 23:30 JavaScript get Vector int32Array 0.003 s 0.107
2023-01-15 23:30 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 23:30 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.189 s -0.566
2023-01-15 23:13 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.486 s -2.364
2023-01-15 23:20 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 32.928 s -1.496
2023-01-15 23:21 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.242 s 0.256
2023-01-15 23:30 JavaScript Iterate Vector uint8Array 0.002 s -1.725
2023-01-15 23:30 JavaScript Spread Vector int64Array 0.012 s 0.358
2023-01-15 23:30 JavaScript toArray Vector float32Array
2023-01-15 23:30 JavaScript toArray Vector dictionary 0.010 s 1.119
2023-01-15 23:30 JavaScript Iterate Vector uint64Array 0.004 s 0.167
2023-01-15 23:30 JavaScript toArray Vector uint8Array
2023-01-15 23:30 JavaScript toArray Vector int8Array
2023-01-15 23:30 JavaScript toArray Vector int32Array
2023-01-15 23:30 JavaScript toArray Vector float64Array
2023-01-15 23:30 JavaScript get Vector float64Array 0.002 s 0.329
2023-01-15 23:30 JavaScript Iterate Vector int8Array 0.002 s -3.087
2023-01-15 23:30 JavaScript Iterate Vector float64Array 0.002 s -2.516
2023-01-15 23:30 JavaScript Spread Vector uint64Array 0.012 s 0.360
2023-01-15 23:30 JavaScript toArray Vector int16Array
2023-01-15 23:30 JavaScript get Vector dictionary 0.002 s -0.348
2023-01-15 23:30 JavaScript Iterate Vector int16Array 0.002 s -3.161
2023-01-15 23:30 JavaScript Iterate Vector int64Array 0.004 s 0.149
2023-01-15 23:30 JavaScript Spread Vector uint32Array 0.007 s 0.528
2023-01-15 23:30 JavaScript Spread Vector float32Array 0.008 s 0.151
2023-01-15 23:30 JavaScript toArray Vector string 0.145 s 0.295
2023-01-15 23:30 JavaScript get Vector booleans 0.002 s 0.056
2023-01-15 23:30 JavaScript Iterate Vector int32Array 0.002 s -2.653
2023-01-15 23:30 JavaScript Iterate Vector float32Array 0.002 s -1.322
2023-01-15 23:30 JavaScript Spread Vector int16Array 0.007 s -0.234
2023-01-15 23:30 JavaScript Spread Vector float64Array 0.008 s 0.770
2023-01-15 23:30 JavaScript Spread Vector booleans 0.010 s 0.535
2023-01-15 23:30 JavaScript Spread Vector string 0.144 s 0.839
2023-01-15 23:30 JavaScript Spread Vector int32Array 0.006 s 0.644
2023-01-15 23:30 JavaScript Spread Vector dictionary 0.010 s 1.670
2023-01-15 23:30 JavaScript toArray Vector uint32Array
2023-01-15 23:30 JavaScript get Vector int64Array 0.003 s 0.235
2023-01-15 23:30 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.955
2023-01-15 23:30 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.167
2023-01-15 23:30 JavaScript get Vector uint8Array 0.003 s 0.001
2023-01-15 23:30 JavaScript get Vector uint32Array 0.003 s -0.010
2023-01-15 23:30 JavaScript get Vector int8Array 0.003 s 0.139
2023-01-15 23:30 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -1.023
2023-01-15 23:30 JavaScript get Vector uint16Array 0.003 s 0.110
2023-01-15 23:30 JavaScript get Vector uint64Array 0.003 s 0.139
2023-01-15 23:30 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-15 23:30 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.189 s -0.383
2023-01-15 23:30 JavaScript Table tracks, 1,000,000 0.264 s 0.396
2023-01-15 23:30 JavaScript get Vector int16Array 0.003 s 0.084
2023-01-15 23:30 JavaScript Parse write recordBatches, tracks 0.002 s -0.535
2023-01-15 23:30 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.646
2023-01-15 23:30 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-15 23:30 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 0.760
2023-01-15 23:30 JavaScript Table tracks, 1,000,000 0.095 s -0.104
2023-01-15 23:30 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.438
2023-01-15 23:30 JavaScript Parse read recordBatches, tracks 0.000 s 0.830
2023-01-15 23:30 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s 0.275
2023-01-15 23:30 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.635
2023-01-15 23:30 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.040 s 0.085
2023-01-15 23:30 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.297
2023-01-15 23:30 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.209
2023-01-15 23:30 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-15 23:30 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.541
2023-01-15 23:30 JavaScript Table tracks, 1,000,000 0.050 s 1.564
2023-01-15 23:30 JavaScript Table 1,000,000, tracks 0.309 s -1.405
2023-01-15 23:30 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.458
2023-01-15 23:30 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 1.096