Bencher::Scenario::ArraySet::diff - Benchmark diff operation
This document describes version 0.003 of Bencher::Scenario::ArraySet::diff (from Perl distribution Bencher-Scenarios-ArraySet), released on 2017-01-25.
To run benchmark with default option:
% bencher -m ArraySet::diff
To run module startup overhead benchmark:
% bencher --module-startup -m ArraySet::diff
For more options (dump scenario, list/include/exclude/add participants, list/include/exclude/add datasets, etc), see bencher or run bencher --help.
bencher --help
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.
Version numbers shown below are the versions used when running the sample benchmark.
Array::Set 0.05
Set::Object 1.35
Set::Scalar 1.29
Array::Set::set_diff (perl_code)
Function call template:
Array::Set::set_diff(<set1>, <set2>)
Set::Object::difference (perl_code)
Code template:
my $set1 = Set::Object->new; $set1->insert(@{<set1>}); my $set2 = Set::Object->new; $set2->insert(@{<set2>}); my $res = $set1->difference($set2);
Set::Scalar::difference (perl_code)
my $set1 = Set::Scalar->new; $set1->insert(@{<set1>}); my $set2 = Set::Scalar->new; $set2->insert(@{<set2>}); my $res = $set1->difference($set2);
1_1
10_1
10_5
10_10
100_1
100_10
100_100
1000_1
1000_10
1000_100
1000_1000
Run on: perl: v5.24.0, CPU: Intel(R) Core(TM) M-5Y71 CPU @ 1.20GHz (2 cores), OS: GNU/Linux LinuxMint version 17.3, OS kernel: Linux version 3.19.0-32-generic.
Benchmark with bencher -m ArraySet::diff --include-path archive/Array-Set-0.02/lib --include-path archive/Array-Set-0.05/lib --multimodver Array::Set:
bencher -m ArraySet::diff --include-path archive/Array-Set-0.02/lib --include-path archive/Array-Set-0.05/lib --multimodver Array::Set
#table1# {dataset=>"1000_1"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Array::Set::set_diff | 0.02 | 340 | 2.9 | 1 | 3.6e-06 | 20 | | Set::Scalar::difference | | 390 | 2.6 | 1.1 | 1.4e-05 | 24 | | Set::Object::difference | | 1300 | 0.78 | 3.7 | 1.3e-06 | 20 | | Array::Set::set_diff | 0.05 | 3210 | 0.312 | 9.32 | 2.7e-07 | 20 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table2# {dataset=>"1000_10"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Array::Set::set_diff | 0.02 | 237 | 4.22 | 1 | 2.9e-06 | 20 | | Set::Scalar::difference | | 300 | 3 | 1 | 5.4e-05 | 23 | | Set::Object::difference | | 1400 | 0.714 | 5.9 | 6.4e-07 | 20 | | Array::Set::set_diff | 0.05 | 3200 | 0.31 | 14 | 9.6e-07 | 20 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table3# {dataset=>"1000_100"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Array::Set::set_diff | 0.02 | 55 | 18 | 1 | 3.2e-05 | 20 | | Set::Scalar::difference | | 357 | 2.8 | 6.55 | 2.2e-06 | 20 | | Set::Object::difference | | 1400 | 0.73 | 25 | 7.5e-07 | 20 | | Array::Set::set_diff | 0.05 | 3000 | 0.33 | 55 | 4.8e-07 | 20 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table4# {dataset=>"1000_1000"} +-------------------------+--------+-----------+-----------+------------+-----------+---------+ | participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+-----------+---------+ | Array::Set::set_diff | 0.02 | 10 | 70 | 1 | 0.00073 | 20 | | Set::Scalar::difference | | 254 | 3.94 | 17.6 | 2.2e-06 | 20 | | Set::Object::difference | | 1190 | 0.842 | 82.5 | 6.9e-07 | 20 | | Array::Set::set_diff | 0.05 | 2000 | 0.6 | 100 | 6.2e-06 | 22 | +-------------------------+--------+-----------+-----------+------------+-----------+---------+ #table5# {dataset=>"100_1"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Array::Set::set_diff | 0.02 | 3100 | 320 | 1 | 1.8e-06 | 26 | | Set::Scalar::difference | | 3400 | 300 | 1.1 | 3.9e-07 | 30 | | Set::Object::difference | | 13000 | 79 | 4.1 | 1.2e-07 | 23 | | Array::Set::set_diff | 0.05 | 32700 | 30.6 | 10.6 | 1.2e-08 | 25 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table6# {dataset=>"100_10"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Array::Set::set_diff | 0.02 | 2200 | 460 | 1 | 4.8e-07 | 20 | | Set::Scalar::difference | | 3050 | 327 | 1.41 | 2.7e-07 | 20 | | Set::Object::difference | | 12000 | 81 | 5.7 | 1.2e-07 | 26 | | Array::Set::set_diff | 0.05 | 31000 | 32 | 14 | 5.3e-08 | 20 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table7# {dataset=>"100_100"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Array::Set::set_diff | 0.02 | 1000 | 1000 | 1 | 1.7e-05 | 21 | | Set::Scalar::difference | | 1760 | 567 | 1.81 | 2.1e-07 | 20 | | Set::Object::difference | | 11300 | 88.6 | 11.6 | 8e-08 | 20 | | Array::Set::set_diff | 0.05 | 22600 | 44.3 | 23.2 | 1.1e-08 | 28 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table8# {dataset=>"10_1"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Set::Scalar::difference | | 12000 | 86 | 1 | 1e-07 | 22 | | Array::Set::set_diff | 0.02 | 30000 | 34 | 2.5 | 4.6e-08 | 27 | | Set::Object::difference | | 88000 | 11 | 7.6 | 1.3e-08 | 20 | | Array::Set::set_diff | 0.05 | 210000 | 4.8 | 18 | 6.5e-09 | 21 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table9# {dataset=>"10_10"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Set::Scalar::difference | | 8800 | 110 | 1 | 1.8e-07 | 27 | | Array::Set::set_diff | 0.02 | 20500 | 48.8 | 2.33 | 4.6e-08 | 27 | | Set::Object::difference | | 77000 | 13 | 8.7 | 2.7e-08 | 20 | | Array::Set::set_diff | 0.05 | 150000 | 6.9 | 17 | 1.3e-08 | 20 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table10# {dataset=>"10_5"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Set::Scalar::difference | | 10000 | 98 | 1 | 1.3e-07 | 21 | | Array::Set::set_diff | 0.02 | 23000 | 44 | 2.2 | 5.2e-08 | 21 | | Set::Object::difference | | 80000 | 13 | 7.8 | 2.3e-08 | 20 | | Array::Set::set_diff | 0.05 | 181000 | 5.52 | 17.7 | 1.3e-09 | 32 | +-------------------------+--------+-----------+-----------+------------+---------+---------+ #table11# {dataset=>"1_1"} +-------------------------+--------+-----------+-----------+------------+---------+---------+ | participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples | +-------------------------+--------+-----------+-----------+------------+---------+---------+ | Set::Scalar::difference | | 16000 | 63 | 1 | 9.9e-08 | 23 | | Array::Set::set_diff | 0.02 | 130000 | 7.7 | 8.1 | 1.3e-08 | 20 | | Set::Object::difference | | 240000 | 4.2 | 15 | 9.5e-09 | 22 | | Array::Set::set_diff | 0.05 | 489000 | 2.04 | 30.8 | 8.3e-10 | 20 | +-------------------------+--------+-----------+-----------+------------+---------+---------+
Benchmark module startup overhead (bencher -m ArraySet::diff --module-startup):
bencher -m ArraySet::diff --module-startup
#table12# +---------------------+------------------------------+--------------------+----------------+-----------+------------------------+------------+---------+---------+ | participant | proc_private_dirty_size (MB) | proc_rss_size (MB) | proc_size (MB) | time (ms) | mod_overhead_time (ms) | vs_slowest | errors | samples | +---------------------+------------------------------+--------------------+----------------+-----------+------------------------+------------+---------+---------+ | Set::Object | 1.91 | 5.29 | 19.1 | 17.3 | 11.6 | 1 | 1.1e-05 | 20 | | Set::Scalar | 0.82 | 4.1 | 16 | 17 | 11.3 | 1 | 4e-05 | 20 | | Array::Set | 2.2 | 5.6 | 19 | 9.5 | 3.8 | 1.8 | 3.6e-05 | 20 | | perl -e1 (baseline) | 1 | 4.4 | 16 | 5.7 | 0 | 3 | 1.5e-05 | 20 | +---------------------+------------------------------+--------------------+----------------+-----------+------------------------+------------+---------+---------+
To display as an interactive HTML table on a browser, you can add option --format html+datatables.
--format html+datatables
Please visit the project's homepage at https://metacpan.org/release/Bencher-Scenarios-ArraySet.
Source repository is at https://github.com/perlancar/perl-Bencher-Scenarios-ArraySet.
Please report any bugs or feature requests on the bugtracker website https://rt.cpan.org/Public/Dist/Display.html?Name=Bencher-Scenarios-ArraySet
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.
perlancar <perlancar@cpan.org>
This software is copyright (c) 2017 by 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.
To install Bencher::Scenarios::ArraySet, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Bencher::Scenarios::ArraySet
CPAN shell
perl -MCPAN -e shell install Bencher::Scenarios::ArraySet
For more information on module installation, please visit the detailed CPAN module installation guide.