NAME Bencher::Scenario::Data::Undump - Benchmark Data::Undump against eval() for loading a Data::Dumper output VERSION This document describes version 0.003 of Bencher::Scenario::Data::Undump (from Perl distribution Bencher-Scenario-Data-Undump), released on 2022-03-19. SYNOPSIS To run benchmark with default option: % bencher -m Data::Undump To run module startup overhead benchmark: % bencher --module-startup -m Data::Undump For more options (dump scenario, list/include/exclude/add participants, list/include/exclude/add datasets, etc), see bencher or run "bencher --help". DESCRIPTION Packaging a benchmark script as a Bencher scenario makes it convenient to include/exclude/add participants/datasets (either via CLI or Perl code), send the result to a central repository, among others . See Bencher and bencher (CLI) for more details. BENCHMARKED MODULES Version numbers shown below are the versions used when running the sample benchmark. Data::Undump 0.15 BENCHMARK PARTICIPANTS * Data::Undump::undump (perl_code) Function call template: Data::Undump::undump() * eval (perl_code) Code template: eval() BENCHMARK DATASETS * array100i Array of 100 integers. * array1000i Array of 1000 integers. * array10mixed A 10-element array containing a mix of various Perl data items. SAMPLE BENCHMARK RESULTS Run on: perl: *v5.34.0*, CPU: *Intel(R) Core(TM) i5-7200U CPU @ 2.50GHz (2 cores)*, OS: *GNU/Linux Ubuntu version 20.04*, OS kernel: *Linux version 5.4.0-91-generic*. Benchmark with default options ("bencher -m Data::Undump"): #table1# {dataset=>"array1000i"} +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ | participant | rate (/s) | time (μs) | pct_faster_vs_slowest | pct_slower_vs_fastest | errors | samples | +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ | eval | 5300 | 190 | 0.00% | 445.39% | 2.6e-07 | 21 | | Data::Undump::undump | 29200 | 34.3 | 445.39% | 0.00% | 1.3e-08 | 22 | +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ Formatted as Benchmark.pm result: Rate e DU:u e 5300/s -- -81% DU:u 29200/s 453% -- Legends: DU:u: participant=Data::Undump::undump e: participant=eval #table2# {dataset=>"array100i"} +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ | participant | rate (/s) | time (μs) | pct_faster_vs_slowest | pct_slower_vs_fastest | errors | samples | +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ | eval | 44000 | 22 | 0.00% | 434.05% | 2.7e-08 | 20 | | Data::Undump::undump | 240000 | 4.2 | 434.05% | 0.00% | 5e-09 | 20 | +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ Formatted as Benchmark.pm result: Rate e DU:u e 44000/s -- -80% DU:u 240000/s 423% -- Legends: DU:u: participant=Data::Undump::undump e: participant=eval #table3# {dataset=>"array10mixed"} +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ | participant | rate (/s) | time (μs) | pct_faster_vs_slowest | pct_slower_vs_fastest | errors | samples | +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ | eval | 75000 | 13 | 0.00% | 680.30% | 2e-08 | 20 | | Data::Undump::undump | 587000 | 1.7 | 680.30% | 0.00% | 7.9e-10 | 22 | +----------------------+-----------+-----------+-----------------------+-----------------------+---------+---------+ Formatted as Benchmark.pm result: Rate e DU:u e 75000/s -- -86% DU:u 587000/s 664% -- Legends: DU:u: participant=Data::Undump::undump e: participant=eval Benchmark module startup overhead ("bencher -m Data::Undump --module-startup"): #table4# +---------------------+-----------+-------------------+-----------------------+-----------------------+-----------+---------+ | participant | time (ms) | mod_overhead_time | pct_faster_vs_slowest | pct_slower_vs_fastest | errors | samples | +---------------------+-----------+-------------------+-----------------------+-----------------------+-----------+---------+ | Data::Undump | 9.25 | 2.25 | 0.00% | 25.88% | 8.5e-06 | 21 | | perl -e1 (baseline) | 7 | 0 | 25.88% | 0.00% | 0.00013 | 20 | +---------------------+-----------+-------------------+-----------------------+-----------------------+-----------+---------+ Formatted as Benchmark.pm result: Rate D:U perl -e1 (baseline) D:U 108.1/s -- -24% perl -e1 (baseline) 142.9/s 32% -- Legends: D:U: mod_overhead_time=2.25 participant=Data::Undump perl -e1 (baseline): mod_overhead_time=0 participant=perl -e1 (baseline) To display as an interactive HTML table on a browser, you can add option "--format html+datatables". HOMEPAGE Please visit the project's homepage at . SOURCE Source repository is at . SEE ALSO AUTHOR perlancar CONTRIBUTING To contribute, you can send patches by email/via RT, or send pull requests on GitHub. Most of the time, you don't need to build the distribution yourself. You can simply modify the code, then test via: % prove -l If you want to build the distribution (e.g. to try to install it locally on your system), you can install Dist::Zilla, Dist::Zilla::PluginBundle::Author::PERLANCAR, and sometimes one or two other Dist::Zilla plugin and/or Pod::Weaver::Plugin. Any additional steps required beyond that are considered a bug and can be reported to me. COPYRIGHT AND LICENSE This software is copyright (c) 2022 by perlancar . This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself. BUGS Please report any bugs or feature requests on the bugtracker website When submitting a bug or request, please include a test-file or a patch to an existing test-file that illustrates the bug or desired feature.