Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2023-01-17 17:09 Python csv-read gzip, arrow_table, file, fanniemae_2016Q4 5.777 s 0.527
2023-01-17 17:09 Python csv-read uncompressed, arrow_table, file, fanniemae_2016Q4 1.235 s 0.320
2023-01-17 17:10 Python csv-read uncompressed, arrow_table, streaming, fanniemae_2016Q4 14.131 s -1.369
2023-01-17 17:10 Python csv-read gzip, arrow_table, streaming, fanniemae_2016Q4 14.050 s -1.056
2023-01-17 17:11 Python csv-read gzip, arrow_table, file, nyctaxi_2010-01 8.431 s 0.983
2023-01-17 17:11 Python csv-read uncompressed, arrow_table, file, nyctaxi_2010-01 1.110 s 0.309
2023-01-17 17:14 Python dataset-filter nyctaxi_2010-01 1.028 s -0.213
2023-01-17 17:11 Python csv-read gzip, arrow_table, streaming, nyctaxi_2010-01 10.358 s 1.479
2023-01-17 17:14 Python dataframe-to-table type_nested 2.961 s 0.259
2023-01-17 17:12 Python csv-read uncompressed, arrow_table, streaming, nyctaxi_2010-01 10.344 s 1.348
2023-01-17 17:14 Python dataframe-to-table type_dict 0.011 s 0.488
2023-01-17 17:14 Python dataframe-to-table chi_traffic_2020_Q1 20.960 s 0.853
2023-01-17 17:14 Python dataframe-to-table type_strings 0.426 s 0.431
2023-01-17 17:14 Python dataframe-to-table type_integers 0.010 s 0.632
2023-01-17 17:14 Python dataframe-to-table type_floats 0.010 s 0.191
2023-01-17 17:23 Python dataset-read async=True, pre_buffer=false, nyctaxi_multi_parquet_s3 84.696 s -0.328
2023-01-17 17:18 Python dataset-read async=True, pre_buffer=true, nyctaxi_multi_parquet_s3 78.727 s 0.267
2023-01-17 17:35 Python dataset-serialize csv, 1pc, nyctaxi_multi_parquet_s3 0.757 s 0.917
2023-01-17 17:34 Python dataset-selectivity 1%, nyctaxi_multi_parquet_s3 1.214 s 0.012
2023-01-17 17:34 Python dataset-selectivity 1%, chi_traffic_2020_Q1 1.182 s -0.900
2023-01-17 17:34 Python dataset-selectivity 10%, chi_traffic_2020_Q1 1.217 s -0.572
2023-01-17 17:35 Python dataset-selectivity 100%, chi_traffic_2020_Q1 1.138 s -0.138
2023-01-17 17:35 Python dataset-serialize parquet, 10pc, nyctaxi_multi_parquet_s3 2.933 s -1.360
2023-01-17 17:35 Python dataset-serialize feather, 10pc, nyctaxi_multi_parquet_s3 0.200 s -1.121
2023-01-17 17:34 Python dataset-selectivity 100%, nyctaxi_multi_ipc_s3 1.671 s 0.259
2023-01-17 17:35 Python dataset-serialize arrow, 1pc, nyctaxi_multi_parquet_s3 0.023 s 0.335
2023-01-17 17:34 Python dataset-selectivity 1%, nyctaxi_multi_ipc_s3 2.023 s 0.329
2023-01-17 17:34 Python dataset-selectivity 10%, nyctaxi_multi_parquet_s3 1.200 s 0.305
2023-01-17 17:34 Python dataset-select nyctaxi_multi_parquet_s3_repartitioned 1.535 s -1.573
2023-01-17 17:35 Python dataset-serialize arrow, 10pc, nyctaxi_multi_parquet_s3 0.199 s -0.866
2023-01-17 17:33 Python dataset-read async=True, nyctaxi_multi_ipc_s3 213.965 s 1.204
2023-01-17 17:34 Python dataset-selectivity 100%, nyctaxi_multi_parquet_s3 1.311 s 0.190
2023-01-17 17:34 Python dataset-selectivity 10%, nyctaxi_multi_ipc_s3 2.002 s 0.367
2023-01-17 17:40 Python dataset-serialize feather, 100pc, nyctaxi_multi_parquet_s3 2.148 s 1.467
2023-01-17 17:35 Python dataset-serialize parquet, 1pc, nyctaxi_multi_parquet_s3 0.306 s -1.082
2023-01-17 17:35 Python dataset-serialize feather, 1pc, nyctaxi_multi_parquet_s3 0.023 s -1.163
2023-01-17 17:36 Python dataset-serialize csv, 10pc, nyctaxi_multi_parquet_s3 7.527 s 1.064
2023-01-17 17:39 Python dataset-serialize parquet, 100pc, nyctaxi_multi_parquet_s3 30.302 s -1.258
2023-01-17 17:39 Python dataset-serialize arrow, 100pc, nyctaxi_multi_parquet_s3 2.151 s -0.737
2023-01-17 17:47 Python dataset-serialize csv, 100pc, nyctaxi_multi_parquet_s3 75.984 s 1.087
2023-01-17 17:47 Python dataset-serialize arrow, 1pc, nyctaxi_multi_ipc_s3 0.027 s -1.697
2023-01-17 17:47 Python dataset-serialize parquet, 1pc, nyctaxi_multi_ipc_s3 0.288 s -1.432
2023-01-17 17:47 Python dataset-serialize feather, 1pc, nyctaxi_multi_ipc_s3 0.026 s -1.237
2023-01-17 17:48 Python dataset-serialize csv, 1pc, nyctaxi_multi_ipc_s3 0.866 s 0.998
2023-01-17 17:48 Python dataset-serialize arrow, 10pc, nyctaxi_multi_ipc_s3 0.225 s -0.009
2023-01-17 17:48 Python dataset-serialize parquet, 10pc, nyctaxi_multi_ipc_s3 3.043 s -1.174
2023-01-17 17:48 Python dataset-serialize feather, 10pc, nyctaxi_multi_ipc_s3 0.225 s -0.066
2023-01-17 17:49 Python dataset-serialize csv, 10pc, nyctaxi_multi_ipc_s3 8.680 s 1.452
2023-01-17 17:52 Python dataset-serialize parquet, 100pc, nyctaxi_multi_ipc_s3 30.878 s -1.262
2023-01-17 17:52 Python dataset-serialize arrow, 100pc, nyctaxi_multi_ipc_s3 2.407 s 0.088
2023-01-17 17:53 Python dataset-serialize feather, 100pc, nyctaxi_multi_ipc_s3 2.412 s -0.522
2023-01-17 18:03 Python file-read lz4, feather, table, fanniemae_2016Q4 0.810 s 0.400
2023-01-17 18:02 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 1.505 s -0.223
2023-01-17 18:03 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 0.983 s 0.012
2023-01-17 18:03 Python file-read uncompressed, feather, table, nyctaxi_2010-01 0.934 s 0.351
2023-01-17 18:02 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.482 s 0.659
2023-01-17 18:04 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 1.342 s 0.261
2023-01-17 18:07 Python file-write uncompressed, feather, table, fanniemae_2016Q4 6.366 s -0.145
2023-01-17 18:08 Python file-write lz4, feather, table, fanniemae_2016Q4 1.872 s -0.143
2023-01-17 18:03 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 1.592 s 0.324
2023-01-17 18:04 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.709 s -1.209
2023-01-17 18:09 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.998 s -1.197
2023-01-17 18:02 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.306 s 0.372
2023-01-17 18:03 Python file-read snappy, parquet, table, nyctaxi_2010-01 0.923 s 0.209
2023-01-17 18:06 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.970 s -1.556
2023-01-17 18:02 Python dataset-serialize csv, 100pc, nyctaxi_multi_ipc_s3 86.163 s 1.383
2023-01-17 18:03 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 0.929 s 0.173
2023-01-17 18:09 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.934 s -0.297
2023-01-17 18:09 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.469 s -1.281
2023-01-17 18:03 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 5.625 s 0.316
2023-01-17 18:07 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 20.492 s -1.510
2023-01-17 18:02 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.604 s 0.653
2023-01-17 18:10 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.897 s -1.536
2023-01-17 18:05 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 20.314 s -1.419
2023-01-17 18:08 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 15.248 s -0.096
2023-01-17 18:11 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 4.127 s -0.038
2023-01-17 18:02 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 1.594 s 0.601
2023-01-17 18:03 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 0.983 s 0.065
2023-01-17 18:10 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 9.348 s -1.275
2023-01-17 18:11 Python wide-dataframe use_legacy_dataset=false 0.515 s 0.253
2023-01-17 18:03 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 4.205 s 0.344
2023-01-17 18:03 Python file-read lz4, feather, table, nyctaxi_2010-01 0.667 s 0.401
2023-01-17 18:20 R dataframe-to-table type_strings, R 0.534 s 0.251
2023-01-17 18:11 Python file-write lz4, feather, table, nyctaxi_2010-01 1.833 s -0.357
2023-01-17 18:11 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 3.212 s -0.119
2023-01-17 18:20 R dataframe-to-table type_integers, R 0.010 s 0.543
2023-01-17 18:21 R dataframe-to-table type_nested, R 0.573 s -0.107
2023-01-17 18:11 Python file-write uncompressed, feather, table, nyctaxi_2010-01 2.742 s -0.078
2023-01-17 18:20 R dataframe-to-table type_dict, R 0.063 s -0.947
2023-01-17 18:21 R file-read uncompressed, parquet, dataframe, fanniemae_2016Q4, R 1.578 s -0.337
2023-01-17 18:11 Python wide-dataframe use_legacy_dataset=true 0.380 s -0.054
2023-01-17 18:21 R file-read snappy, parquet, table, fanniemae_2016Q4, R 1.321 s -0.148
2023-01-17 18:22 R file-read uncompressed, feather, dataframe, fanniemae_2016Q4, R 0.571 s 0.264
2023-01-17 18:23 R file-read lz4, feather, dataframe, nyctaxi_2010-01, R 0.898 s 0.306
2023-01-17 18:20 R dataframe-to-table chi_traffic_2020_Q1, R 4.374 s -1.093
2023-01-17 18:20 R dataframe-to-table type_floats, R 0.013 s 0.519
2023-01-17 18:22 R file-read lz4, feather, dataframe, fanniemae_2016Q4, R 0.866 s 0.181
2023-01-17 18:23 R file-read snappy, parquet, dataframe, nyctaxi_2010-01, R 0.918 s -0.230
2023-01-17 18:21 R file-read snappy, parquet, dataframe, fanniemae_2016Q4, R 1.580 s -0.400
2023-01-17 18:22 R file-read lz4, feather, table, fanniemae_2016Q4, R 0.597 s 0.297
2023-01-17 18:22 R file-read uncompressed, feather, table, fanniemae_2016Q4, R 0.314 s 0.257
2023-01-17 18:21 R file-read uncompressed, parquet, table, fanniemae_2016Q4, R 1.314 s 0.094
2023-01-17 18:22 R file-read uncompressed, parquet, dataframe, nyctaxi_2010-01, R 0.913 s -0.075
2023-01-17 18:22 R file-read uncompressed, parquet, table, nyctaxi_2010-01, R 0.569 s -0.180
2023-01-17 18:23 R file-read lz4, feather, table, nyctaxi_2010-01, R 0.580 s 0.311
2023-01-17 18:24 R file-write uncompressed, parquet, table, fanniemae_2016Q4, R 9.908 s -1.414
2023-01-17 18:23 R file-read snappy, parquet, table, nyctaxi_2010-01, R 0.573 s -0.326
2023-01-17 18:23 R file-read uncompressed, feather, table, nyctaxi_2010-01, R 0.217 s 0.308
2023-01-17 18:23 R file-read uncompressed, feather, dataframe, nyctaxi_2010-01, R 0.818 s 0.319
2023-01-17 18:26 R file-write uncompressed, parquet, dataframe, fanniemae_2016Q4, R 16.835 s -1.167
2023-01-17 18:27 R file-write snappy, parquet, table, fanniemae_2016Q4, R 10.333 s -1.469
2023-01-17 18:29 R file-write snappy, parquet, dataframe, fanniemae_2016Q4, R 17.278 s -1.127
2023-01-17 18:30 R file-write uncompressed, feather, table, fanniemae_2016Q4, R 2.951 s 1.471
2023-01-17 18:31 R file-write uncompressed, feather, dataframe, fanniemae_2016Q4, R 8.995 s 1.026
2023-01-17 18:32 R file-write lz4, feather, table, fanniemae_2016Q4, R 1.498 s -1.566
2023-01-17 18:33 R file-write lz4, feather, dataframe, fanniemae_2016Q4, R 7.523 s -0.445
2023-01-17 18:34 R file-write uncompressed, parquet, table, nyctaxi_2010-01, R 5.090 s -1.900
2023-01-17 18:35 R file-write uncompressed, parquet, dataframe, nyctaxi_2010-01, R 5.900 s -1.696
2023-01-17 18:36 R file-write snappy, parquet, table, nyctaxi_2010-01, R 6.817 s -1.814
2023-01-17 18:37 R file-write snappy, parquet, dataframe, nyctaxi_2010-01, R 7.861 s -1.841
2023-01-17 18:38 R file-write uncompressed, feather, table, nyctaxi_2010-01, R 1.306 s 1.680
2023-01-17 18:39 R file-write uncompressed, feather, dataframe, nyctaxi_2010-01, R 2.165 s 0.094
2023-01-17 18:40 R file-write lz4, feather, table, nyctaxi_2010-01, R 1.471 s -0.241
2023-01-17 18:41 R file-write lz4, feather, dataframe, nyctaxi_2010-01, R 2.079 s -0.424
2023-01-17 18:41 R partitioned-dataset-filter payment_type_3, dataset-taxi-parquet, R 1.591 s -0.555
2023-01-17 18:41 R partitioned-dataset-filter vignette, dataset-taxi-parquet, R 0.564 s -0.052
2023-01-17 18:41 R partitioned-dataset-filter small_no_files, dataset-taxi-parquet, R 0.249 s 0.506
2023-01-17 18:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.01, R 0.200 s 0.265
2023-01-17 18:41 R partitioned-dataset-filter dims, dataset-taxi-parquet, R 0.599 s 0.168
2023-01-17 18:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.01, R 0.240 s 0.234
2023-01-17 18:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=0.1, R 0.200 s 0.244
2023-01-17 18:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=0.1, R 0.283 s 0.151
2023-01-17 18:42 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=1, R 0.274 s 0.134
2023-01-17 18:42 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=1, R 0.591 s -0.149
2023-01-17 18:43 R tpch arrow, native, memory_map=False, TPCH-01, scale_factor=10, R 1.002 s 0.332
2023-01-17 18:43 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.01, R 0.280 s 0.042
2023-01-17 18:43 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.01, R 0.333 s 0.171
2023-01-17 18:43 R tpch arrow, parquet, memory_map=False, TPCH-01, scale_factor=10, R 3.699 s 0.606
2023-01-17 18:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=0.1, R 0.348 s 0.201
2023-01-17 18:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=1, R 0.336 s 0.156
2023-01-17 18:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=0.1, R 0.289 s 0.221
2023-01-17 18:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=1, R 0.428 s 0.389
2023-01-17 18:44 R tpch arrow, parquet, memory_map=False, TPCH-02, scale_factor=10, R 1.062 s -0.408
2023-01-17 18:45 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.1, R 0.303 s 0.255
2023-01-17 18:45 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=0.01, R 0.270 s 0.199
2023-01-17 18:44 R tpch arrow, native, memory_map=False, TPCH-02, scale_factor=10, R 0.667 s -1.024
2023-01-17 18:44 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.01, R 0.228 s 0.208
2023-01-17 18:45 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=1, R 0.588 s 0.128
2023-01-17 18:45 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=0.1, R 0.231 s 0.284
2023-01-17 18:45 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=1, R 0.300 s 0.196
2023-01-17 18:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.01, R 0.313 s 0.265
2023-01-17 18:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.01, R 0.260 s 0.240
2023-01-17 18:46 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.01, R 0.234 s 0.256
2023-01-17 18:48 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=10, R 1.186 s 0.218
2023-01-17 18:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.1, R 0.234 s 0.297
2023-01-17 18:46 R tpch arrow, native, memory_map=False, TPCH-03, scale_factor=10, R 0.888 s 0.582
2023-01-17 18:46 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.01, R 0.199 s 0.299
2023-01-17 18:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=1, R 0.323 s 0.070
2023-01-17 18:47 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=1, R 0.271 s 0.234
2023-01-17 18:47 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=10, R 0.911 s 0.364
2023-01-17 18:49 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=10, R 0.631 s 0.296
2023-01-17 18:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=1, R 0.646 s -0.088
2023-01-17 18:49 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=10, R 3.768 s -0.825
2023-01-17 18:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=0.1, R 0.242 s 0.304
2023-01-17 18:47 R tpch arrow, parquet, memory_map=False, TPCH-04, scale_factor=1, R 0.329 s 0.338
2023-01-17 18:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=0.01, R 0.203 s 0.203
2023-01-17 18:46 R tpch arrow, parquet, memory_map=False, TPCH-03, scale_factor=10, R 3.548 s -0.124
2023-01-17 18:48 R tpch arrow, parquet, memory_map=False, TPCH-05, scale_factor=0.1, R 0.352 s 0.198
2023-01-17 18:46 R tpch arrow, native, memory_map=False, TPCH-04, scale_factor=0.1, R 0.202 s 0.232
2023-01-17 18:48 R tpch arrow, native, memory_map=False, TPCH-05, scale_factor=0.1, R 0.267 s 0.162
2023-01-17 18:49 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.01, R 0.162 s 0.157
2023-01-17 18:50 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=0.1, R 0.161 s 0.214
2023-01-17 18:50 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=1, R 0.179 s 0.253
2023-01-17 18:50 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=1, R 0.507 s 0.249
2023-01-17 18:51 R tpch arrow, parquet, memory_map=False, TPCH-06, scale_factor=10, R 3.249 s 0.175
2023-01-17 18:51 R tpch arrow, native, memory_map=False, TPCH-06, scale_factor=10, R 0.351 s 0.385
2023-01-17 18:51 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.01, R 0.340 s 0.360
2023-01-17 18:51 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.01, R 0.291 s 0.338
2023-01-17 18:51 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=0.1, R 0.293 s 0.320
2023-01-17 18:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.1, R 0.371 s 0.331
2023-01-17 18:51 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=0.1, R 0.373 s 0.337
2023-01-17 18:52 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=1, R 0.350 s 0.303
2023-01-17 18:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.01, R 0.334 s 0.277
2023-01-17 18:53 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=10, R 3.615 s 0.063
2023-01-17 18:56 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.01, R 0.300 s 0.249
2023-01-17 18:52 R tpch arrow, parquet, memory_map=False, TPCH-07, scale_factor=1, R 0.661 s 0.201
2023-01-17 18:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.01, R 0.395 s 0.296
2023-01-17 18:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=0.1, R 0.428 s 0.266
2023-01-17 18:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=1, R 0.369 s 0.256
2023-01-17 18:58 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=10, R 3.738 s 0.016
2023-01-17 18:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=10, R 3.267 s -0.642
2023-01-17 19:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.1, R 0.365 s 0.113
2023-01-17 19:01 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=10, R 2.681 s -1.600
2023-01-17 18:52 R tpch arrow, native, memory_map=False, TPCH-07, scale_factor=10, R 0.781 s 0.361
2023-01-17 18:53 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=0.1, R 0.339 s 0.280
2023-01-17 18:56 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=10, R 4.153 s -0.149
2023-01-17 18:58 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.01, R 0.262 s 0.203
2023-01-17 19:00 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=1, R 0.921 s -0.471
2023-01-17 18:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=0.01, R 0.323 s 0.353
2023-01-17 18:55 R tpch arrow, parquet, memory_map=False, TPCH-09, scale_factor=1, R 0.770 s 0.227
2023-01-17 18:54 R tpch arrow, native, memory_map=False, TPCH-08, scale_factor=10, R 0.614 s 0.217
2023-01-17 18:54 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.01, R 0.271 s 0.347
2023-01-17 18:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=0.1, R 0.295 s 0.364
2023-01-17 18:55 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=1, R 0.440 s 0.276
2023-01-17 18:56 R tpch arrow, native, memory_map=False, TPCH-09, scale_factor=10, R 0.964 s -0.194
2023-01-17 18:59 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=0.01, R 0.257 s 0.083
2023-01-17 18:53 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=1, R 0.714 s 0.265
2023-01-17 18:56 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.01, R 0.256 s 0.203
2023-01-17 18:58 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.01, R 0.211 s 0.144
2023-01-17 19:00 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.1, R 0.305 s -0.214
2023-01-17 18:54 R tpch arrow, parquet, memory_map=False, TPCH-08, scale_factor=10, R 3.791 s -0.169
2023-01-17 18:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=0.1, R 0.257 s 0.352
2023-01-17 18:58 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=0.1, R 0.235 s -0.010
2023-01-17 18:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=1, R 0.326 s 0.478
2023-01-17 19:03 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.01, R 0.216 s 0.199
2023-01-17 19:01 R tpch arrow, parquet, memory_map=False, TPCH-12, scale_factor=10, R 6.611 s -0.763
2023-01-17 19:03 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.01, R 0.271 s 0.184
2023-01-17 18:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=1, R 0.661 s -0.144
2023-01-17 18:58 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=0.1, R 0.304 s 0.236
2023-01-17 18:59 R tpch arrow, parquet, memory_map=False, TPCH-11, scale_factor=1, R 0.540 s 0.063
2023-01-17 18:57 R tpch arrow, parquet, memory_map=False, TPCH-10, scale_factor=0.1, R 0.339 s 0.131
2023-01-17 18:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=1, R 0.321 s 0.235
2023-01-17 18:57 R tpch arrow, native, memory_map=False, TPCH-10, scale_factor=10, R 0.869 s 0.692
2023-01-17 18:59 R tpch arrow, native, memory_map=False, TPCH-11, scale_factor=10, R 0.864 s 0.349
2023-01-17 18:59 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=0.01, R 0.209 s 0.129
2023-01-17 19:00 R tpch arrow, native, memory_map=False, TPCH-12, scale_factor=1, R 0.493 s -0.949
2023-01-17 19:01 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.01, R 0.239 s 0.077
2023-01-17 19:03 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=10, R 5.531 s -0.435
2023-01-17 19:01 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.01, R 0.183 s 0.224
2023-01-17 19:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=0.1, R 0.332 s 0.060
2023-01-17 19:02 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=0.1, R 0.429 s -0.030
2023-01-17 19:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=10, R 3.447 s -1.691
2023-01-17 19:02 R tpch arrow, native, memory_map=False, TPCH-13, scale_factor=1, R 0.610 s -0.691
2023-01-17 19:02 R tpch arrow, parquet, memory_map=False, TPCH-13, scale_factor=1, R 0.860 s -0.032
2023-01-17 19:03 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=0.1, R 0.337 s 0.150
2023-01-17 19:04 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=1, R 0.943 s -0.025
2023-01-17 19:03 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=0.1, R 0.242 s 0.218
2023-01-17 19:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=1, R 0.442 s 0.076
2023-01-17 19:05 R tpch arrow, parquet, memory_map=False, TPCH-14, scale_factor=10, R 6.042 s -0.535
2023-01-17 19:04 R tpch arrow, native, memory_map=False, TPCH-14, scale_factor=10, R 1.615 s -1.352
2023-01-17 19:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.01, R 0.209 s 0.287
2023-01-17 19:05 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.01, R 0.253 s 0.324
2023-01-17 19:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=0.1, R 0.211 s 0.288
2023-01-17 19:05 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=0.1, R 0.286 s 0.255
2023-01-17 19:05 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=1, R 0.243 s 0.234
2023-01-17 19:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=10, R 3.605 s -0.224
2023-01-17 19:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=1, R 0.322 s 0.401
2023-01-17 19:06 R tpch arrow, parquet, memory_map=False, TPCH-15, scale_factor=1, R 0.589 s 0.134
2023-01-17 19:06 R tpch arrow, native, memory_map=False, TPCH-15, scale_factor=10, R 0.613 s 0.322
2023-01-17 19:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.1, R 0.221 s 0.281
2023-01-17 19:06 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=0.01, R 0.195 s 0.305
2023-01-17 19:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.01, R 0.238 s 0.292
2023-01-17 19:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=1, R 0.524 s 0.300
2023-01-17 19:07 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=0.1, R 0.284 s 0.295
2023-01-17 19:07 R tpch arrow, native, memory_map=False, TPCH-16, scale_factor=10, R 0.884 s 0.211
2023-01-17 19:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.01, R 0.216 s 0.274
2023-01-17 19:08 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.1, R 0.321 s 0.309
2023-01-17 19:08 R tpch arrow, parquet, memory_map=False, TPCH-16, scale_factor=10, R 3.069 s 0.232
2023-01-17 19:08 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=0.01, R 0.269 s 0.249
2023-01-17 19:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=1, R 0.258 s 0.294
2023-01-17 19:08 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=0.1, R 0.220 s 0.242
2023-01-17 19:09 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=10, R 6.999 s -0.349
2023-01-17 19:09 R tpch arrow, parquet, memory_map=False, TPCH-17, scale_factor=1, R 0.973 s 0.072
2023-01-17 19:09 R tpch arrow, native, memory_map=False, TPCH-17, scale_factor=10, R 0.664 s 0.296
2023-01-17 19:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=1, R 0.404 s 0.211
2023-01-17 19:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.1, R 0.265 s 0.241
2023-01-17 19:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.01, R 0.194 s 0.264
2023-01-17 19:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=0.01, R 0.241 s 0.315
2023-01-17 19:10 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=0.1, R 0.209 s 0.288
2023-01-17 19:10 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=1, R 0.536 s 0.175
2023-01-17 19:11 R tpch arrow, native, memory_map=False, TPCH-18, scale_factor=10, R 3.479 s -1.006
2023-01-17 19:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.01, R 0.326 s 0.265
2023-01-17 19:11 R tpch arrow, parquet, memory_map=False, TPCH-18, scale_factor=10, R 4.391 s -1.098
2023-01-17 19:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=0.1, R 0.441 s 0.257
2023-01-17 19:11 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.01, R 0.273 s 0.168
2023-01-17 19:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=0.1, R 0.436 s 0.400
2023-01-17 19:12 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=1, R 1.329 s -0.022
2023-01-17 19:12 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=1, R 0.887 s 0.065
2023-01-17 19:14 R tpch arrow, parquet, memory_map=False, TPCH-19, scale_factor=10, R 9.462 s -1.420
2023-01-17 19:13 R tpch arrow, native, memory_map=False, TPCH-19, scale_factor=10, R 5.631 s -0.211
2023-01-17 19:14 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.1, R 0.261 s -0.103
2023-01-17 19:14 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=0.01, R 0.260 s -0.053
2023-01-17 19:14 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.01, R 0.320 s 0.172
2023-01-17 19:14 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=1, R 0.290 s -0.017
2023-01-17 19:15 R tpch arrow, native, memory_map=False, TPCH-20, scale_factor=10, R 0.606 s -0.076
2023-01-17 19:14 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=0.1, R 0.375 s 0.064
2023-01-17 19:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=1, R 0.979 s -0.160
2023-01-17 19:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.1, R 0.726 s 0.596
2023-01-17 19:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=0.01, R 0.396 s -0.011
2023-01-17 19:15 R tpch arrow, parquet, memory_map=False, TPCH-20, scale_factor=10, R 6.115 s -0.240
2023-01-17 19:16 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.01, R 0.453 s -0.070
2023-01-17 19:16 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=0.1, R 0.791 s 0.229
2023-01-17 19:16 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=1, R 2.875 s 0.097
2023-01-17 19:17 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=1, R 3.168 s -0.907
2023-01-17 19:19 R tpch arrow, native, memory_map=False, TPCH-21, scale_factor=10, R 29.864 s -0.006
2023-01-17 19:21 R tpch arrow, parquet, memory_map=False, TPCH-21, scale_factor=10, R 33.281 s -2.024
2023-01-17 19:21 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.01, R 0.198 s 0.141
2023-01-17 19:21 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.01, R 0.246 s 0.109
2023-01-17 19:21 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=0.1, R 0.204 s 0.245
2023-01-17 19:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=1, R 0.226 s 0.287
2023-01-17 19:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=10, R 2.357 s -0.369
2023-01-17 19:22 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=1, R 0.459 s -0.028
2023-01-17 19:21 R tpch arrow, parquet, memory_map=False, TPCH-22, scale_factor=0.1, R 0.262 s 0.178
2023-01-17 19:22 R tpch arrow, native, memory_map=False, TPCH-22, scale_factor=10, R 0.308 s 0.244
2023-01-17 19:31 JavaScript Iterate Vector float32Array 0.002 s 0.366
2023-01-17 19:31 JavaScript Iterate Vector int32Array 0.002 s 0.070
2023-01-17 19:31 JavaScript Table 1,000,000, tracks 0.316 s -1.651
2023-01-17 19:31 JavaScript Iterate Vector string 0.128 s -1.309
2023-01-17 19:31 JavaScript Spread Vector booleans 0.010 s 1.211
2023-01-17 19:31 JavaScript Iterate vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.628
2023-01-17 19:31 JavaScript Slice toArray vectors lng, 1,000,000, Float32, tracks 0.000 s -0.159
2023-01-17 19:31 JavaScript Iterate Vector uint32Array 0.002 s 0.584
2023-01-17 19:31 JavaScript Iterate Vector numbers 0.002 s -0.453
2023-01-17 19:31 JavaScript Iterate Vector uint8Array 0.002 s -0.865
2023-01-17 19:31 JavaScript Spread Vector dictionary 0.010 s 2.002
2023-01-17 19:31 JavaScript toArray Vector numbers
2023-01-17 19:31 JavaScript Spread vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.104
2023-01-17 19:31 JavaScript vectorFromArray numbers 0.016 s 0.846
2023-01-17 19:31 JavaScript Iterate Vector float64Array 0.002 s -0.492
2023-01-17 19:31 JavaScript toArray Vector string 0.150 s -2.585
2023-01-17 19:31 JavaScript Table tracks, 1,000,000 0.273 s -0.099
2023-01-17 19:31 JavaScript Iterate Vector uint64Array 0.004 s 0.290
2023-01-17 19:31 JavaScript Iterate Vector int16Array 0.002 s 0.294
2023-01-17 19:31 JavaScript Iterate Vector int64Array 0.004 s 0.373
2023-01-17 19:31 JavaScript toArray Vector uint16Array
2023-01-17 19:31 JavaScript vectorFromArray booleans 0.018 s -0.052
2023-01-17 19:31 JavaScript Iterate Vector int8Array 0.002 s -0.746
2023-01-17 19:31 JavaScript Iterate Vector dictionary 0.004 s 1.027
2023-01-17 19:31 JavaScript toArray Vector uint8Array
2023-01-17 19:31 JavaScript Slice toArray vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.411
2023-01-17 19:31 JavaScript vectorFromArray dictionary 0.016 s 1.389
2023-01-17 19:31 JavaScript Spread Vector uint64Array 0.012 s 0.908
2023-01-17 19:31 JavaScript Spread Vector int16Array 0.006 s 0.727
2023-01-17 19:31 JavaScript Spread Vector int64Array 0.012 s 2.486
2023-01-17 19:31 JavaScript Iterate Vector uint16Array 0.002 s 0.290
2023-01-17 19:31 JavaScript Spread Vector uint16Array 0.006 s 0.625
2023-01-17 19:31 JavaScript toArray Vector int16Array
2023-01-17 19:31 JavaScript toArray Vector int64Array
2023-01-17 19:31 JavaScript toArray Vector float64Array
2023-01-17 19:31 JavaScript Iterate Vector booleans 0.004 s -0.118
2023-01-17 19:31 JavaScript Spread Vector float64Array 0.008 s 0.745
2023-01-17 19:31 JavaScript Spread Vector string 0.150 s -2.212
2023-01-17 19:31 JavaScript Get values by index lng, 1,000,000, Float32, tracks 0.030 s -0.740
2023-01-17 19:31 JavaScript Slice toArray vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.670
2023-01-17 19:31 JavaScript Spread Vector uint8Array 0.006 s 1.150
2023-01-17 19:31 JavaScript Spread Vector int8Array 0.006 s 0.774
2023-01-17 19:31 JavaScript Spread Vector uint32Array 0.006 s 0.992
2023-01-17 19:31 JavaScript get Vector dictionary 0.002 s -4.436
2023-01-17 19:31 JavaScript Parse read recordBatches, tracks 0.000 s 0.366
2023-01-17 19:31 JavaScript Get values by index lat, 1,000,000, Float32, tracks 0.030 s -0.525
2023-01-17 19:31 JavaScript Iterate vectors lat, 1,000,000, Float32, tracks 0.023 s -0.782
2023-01-17 19:31 JavaScript Slice vectors lat, 1,000,000, Float32, tracks 0.000 s
2023-01-17 19:31 JavaScript Spread Vector int32Array 0.006 s 1.120
2023-01-17 19:31 JavaScript Spread Vector float32Array 0.008 s -0.088
2023-01-17 19:31 JavaScript Spread Vector numbers 0.008 s 0.631
2023-01-17 19:31 JavaScript get Vector uint8Array 0.003 s 0.554
2023-01-17 19:31 JavaScript get Vector uint32Array 0.003 s -4.108
2023-01-17 19:31 JavaScript Slice vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-17 19:31 JavaScript toArray Vector uint32Array
2023-01-17 19:31 JavaScript toArray Vector int8Array
2023-01-17 19:31 JavaScript toArray Vector int32Array
2023-01-17 19:31 JavaScript toArray Vector float32Array
2023-01-17 19:31 JavaScript Get values by index origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.709
2023-01-17 19:31 JavaScript Iterate vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s 0.638
2023-01-17 19:31 JavaScript Slice toArray vectors lat, 1,000,000, Float32, tracks 0.000 s -0.447
2023-01-17 19:31 JavaScript toArray Vector uint64Array
2023-01-17 19:31 JavaScript get Vector int64Array 0.003 s 0.809
2023-01-17 19:31 JavaScript Get values by index destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.039 s -0.595
2023-01-17 19:31 JavaScript Iterate vectors lng, 1,000,000, Float32, tracks 0.023 s -0.909
2023-01-17 19:31 JavaScript Spread vectors lng, 1,000,000, Float32, tracks 0.183 s 2.761
2023-01-17 19:31 JavaScript Table Direct Count lng, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.344
2023-01-17 19:31 JavaScript toArray Vector booleans 0.010 s 0.635
2023-01-17 19:31 JavaScript get Vector uint64Array 0.003 s 1.067
2023-01-17 19:31 JavaScript get Vector booleans 0.002 s -0.309
2023-01-17 19:31 JavaScript get Vector string 0.128 s -2.130
2023-01-17 19:31 JavaScript toArray Vector dictionary 0.010 s 2.052
2023-01-17 19:31 JavaScript get Vector int8Array 0.003 s 0.613
2023-01-17 19:31 JavaScript get Vector numbers 0.002 s 0.374
2023-01-17 19:31 JavaScript Spread vectors origin, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.107 s 1.813
2023-01-17 19:31 JavaScript Table tracks, 1,000,000 0.050 s 0.794
2023-01-17 19:31 JavaScript get Vector uint16Array 0.003 s 0.680
2023-01-17 19:31 JavaScript get Vector int16Array 0.003 s 0.349
2023-01-17 19:31 JavaScript get Vector float64Array 0.002 s -1.878
2023-01-17 19:31 JavaScript Parse write recordBatches, tracks 0.002 s 0.018
2023-01-17 19:31 JavaScript Slice vectors lng, 1,000,000, Float32, tracks 0.000 s
2023-01-17 19:31 JavaScript Slice vectors destination, 1,000,000, Dictionary<Int8, Utf8>, tracks 0.000 s
2023-01-17 19:31 JavaScript get Vector int32Array 0.003 s 0.480
2023-01-17 19:31 JavaScript get Vector float32Array 0.002 s -1.896
2023-01-17 19:31 JavaScript Spread vectors lat, 1,000,000, Float32, tracks 0.186 s 0.763
2023-01-17 19:31 JavaScript Table tracks, 1,000,000 0.096 s -1.142
2023-01-17 19:31 JavaScript Table Direct Count lat, 1,000,000, gt, Float32, 0, tracks 0.032 s 0.335
2023-01-17 19:31 JavaScript Table Direct Count origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks 0.032 s 1.187