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Bencher-Scenario-Data-Undump-0.003
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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(<dump>)

  • eval (perl_code)

    Code template:

    
            
    
              
              
    eval(<dump>)

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 https://metacpan.org/release/Bencher-Scenario-Data-Undump.

SOURCE

Source repository is at https://github.com/perlancar/perl-Bencher-Scenario-DataUndump.

SEE ALSO

https://www.reddit.com/r/perl/comments/czhwe6/syntax_differences_from_data_dumper_to_json/ez95r7c?utm_source=share&utm_medium=web2x

AUTHOR

perlancar <perlancar@cpan.org>

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 <perlancar@cpan.org>.

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 https://rt.cpan.org/Public/Dist/Display.html?Name=Bencher-Scenario-Data-Undump

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.