NAME
Bencher::Scenario::ArraySet::symdiff - Benchmark symmetric difference operation
VERSION
This document describes version 0.003 of Bencher::Scenario::ArraySet::symdiff (from Perl distribution Bencher-Scenarios-ArraySet), released on 2017-01-25.
SYNOPSIS
To run benchmark with default option:
% bencher -m ArraySet::symdiffTo run module startup overhead benchmark:
% bencher --module-startup -m ArraySet::symdiffFor 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.
Array::Set 0.05
Set::Object 1.35
Set::Scalar 1.29
BENCHMARK PARTICIPANTS
Array::Set::set_symdiff (perl_code)
Function call template:
Array::Set::set_symdiff(<set1>, <set2>)Set::Object::symmetric_difference (perl_code)
Code template:
my $set1 = Set::Object->new; $set1->insert(@{<set1>}); my $set2 = Set::Object->new; $set2->insert(@{<set2>}); my $res = $set1->symmetric_difference($set2);Set::Scalar::symmetric_difference (perl_code)
Code template:
my $set1 = Set::Scalar->new; $set1->insert(@{<set1>}); my $set2 = Set::Scalar->new; $set2->insert(@{<set2>}); my $res = $set1->symmetric_difference($set2);
BENCHMARK DATASETS
1_1
10_1
10_5
10_10
100_1
100_10
100_100
1000_1
1000_10
1000_100
1000_1000
SAMPLE BENCHMARK RESULTS
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::symdiff --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_symdiff | 0.02 | 300 | 3.4 | 1 | 1.5e-05 | 20 |
| Set::Scalar::symmetric_difference | | 390 | 2.5 | 1.3 | 4.1e-06 | 20 |
| Set::Object::symmetric_difference | | 930 | 1.1 | 3.1 | 9.9e-06 | 20 |
| Array::Set::set_symdiff | 0.05 | 2000 | 0.7 | 5 | 7.8e-06 | 20 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table2#
{dataset=>"1000_10"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_symdiff | 0.02 | 300 | 3.3 | 1 | 7.4e-06 | 20 |
| Set::Scalar::symmetric_difference | | 410 | 2.5 | 1.4 | 1.1e-05 | 20 |
| Set::Object::symmetric_difference | | 1000 | 1 | 3 | 1.1e-05 | 20 |
| Array::Set::set_symdiff | 0.05 | 1000 | 0.7 | 5 | 1.1e-05 | 20 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table3#
{dataset=>"1000_100"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_symdiff | 0.02 | 200 | 4 | 1 | 9e-05 | 20 |
| Set::Scalar::symmetric_difference | | 300 | 3 | 1 | 3.8e-05 | 20 |
| Set::Object::symmetric_difference | | 930 | 1.1 | 4.1 | 4.9e-06 | 20 |
| Array::Set::set_symdiff | 0.05 | 1400 | 0.72 | 6.1 | 5.8e-06 | 20 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table4#
{dataset=>"1000_1000"}
+-----------------------------------+--------+-----------+-----------+------------+-----------+---------+
| participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+-----------+---------+
| Array::Set::set_symdiff | 0.02 | 100 | 8 | 1 | 0.00018 | 20 |
| Set::Scalar::symmetric_difference | | 240 | 4.1 | 1.9 | 6.9e-06 | 20 |
| Set::Object::symmetric_difference | | 800 | 1.3 | 6.4 | 3.8e-06 | 20 |
| Array::Set::set_symdiff | 0.05 | 1100 | 0.88 | 9 | 7.4e-06 | 21 |
+-----------------------------------+--------+-----------+-----------+------------+-----------+---------+
#table5#
{dataset=>"100_1"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_symdiff | 0.02 | 3000 | 330 | 1 | 4.8e-07 | 20 |
| Set::Scalar::symmetric_difference | | 3400 | 294 | 1.12 | 2.1e-07 | 20 |
| Set::Object::symmetric_difference | | 8600 | 120 | 2.9 | 4.1e-07 | 22 |
| Array::Set::set_symdiff | 0.05 | 21501.3 | 46.5088 | 7.09206 | 9e-12 | 20 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table6#
{dataset=>"100_10"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_symdiff | 0.02 | 2500 | 400 | 1 | 6.9e-07 | 20 |
| Set::Scalar::symmetric_difference | | 3270 | 305 | 1.31 | 2.1e-07 | 20 |
| Set::Object::symmetric_difference | | 6000 | 200 | 2 | 5.7e-06 | 29 |
| Array::Set::set_symdiff | 0.05 | 20100 | 49.6 | 8.06 | 4e-08 | 20 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table7#
{dataset=>"100_100"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_symdiff | 0.02 | 1400 | 700 | 1 | 3.4e-06 | 20 |
| Set::Scalar::symmetric_difference | | 2200 | 450 | 1.6 | 3.4e-06 | 20 |
| Set::Object::symmetric_difference | | 7200 | 140 | 5.1 | 2.1e-07 | 20 |
| Array::Set::set_symdiff | 0.05 | 14478.2 | 69.0691 | 10.1506 | 3.9e-11 | 20 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table8#
{dataset=>"10_1"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Set::Scalar::symmetric_difference | | 17000 | 60 | 1 | 8.9e-08 | 29 |
| Array::Set::set_symdiff | 0.02 | 25000 | 39 | 1.5 | 4e-08 | 20 |
| Set::Object::symmetric_difference | | 53000 | 19 | 3.2 | 2e-08 | 20 |
| Array::Set::set_symdiff | 0.05 | 136000 | 7.35 | 8.22 | 3.2e-09 | 22 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table9#
{dataset=>"10_10"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_symdiff | 0.02 | 12000 | 83 | 1 | 1.3e-07 | 21 |
| Set::Scalar::symmetric_difference | | 13000 | 77 | 1.1 | 6.9e-07 | 20 |
| Set::Object::symmetric_difference | | 47000 | 21 | 3.9 | 6e-08 | 20 |
| Array::Set::set_symdiff | 0.05 | 119000 | 8.39 | 9.91 | 3e-09 | 25 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table10#
{dataset=>"10_5"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Set::Scalar::symmetric_difference | | 15000 | 66 | 1 | 9.7e-08 | 24 |
| Array::Set::set_symdiff | 0.02 | 16000 | 64 | 1 | 3.4e-07 | 21 |
| Set::Object::symmetric_difference | | 30000 | 30 | 2 | 1.3e-06 | 28 |
| Array::Set::set_symdiff | 0.05 | 127000 | 7.86 | 8.46 | 2.9e-09 | 29 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
#table11#
{dataset=>"1_1"}
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+
| Set::Scalar::symmetric_difference | | 27000 | 37 | 1 | 1.3e-08 | 21 |
| Set::Object::symmetric_difference | | 70000 | 10 | 3 | 7e-07 | 22 |
| Array::Set::set_symdiff | 0.02 | 90000 | 11 | 3.3 | 1.7e-08 | 20 |
| Array::Set::set_symdiff | 0.05 | 275800 | 3.625 | 10.21 | 1.4e-10 | 20 |
+-----------------------------------+--------+-----------+-----------+------------+---------+---------+Benchmark module startup overhead (bencher -m ArraySet::symdiff --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 | 1.9 | 5.2 | 19 | 19 | 13 | 1 | 6.5e-05 | 20 |
| Set::Scalar | 0.82 | 4.1 | 16 | 17 | 11 | 1.1 | 3.5e-05 | 21 |
| Array::Set | 2 | 6 | 20 | 10 | 4 | 2 | 0.00013 | 20 |
| perl -e1 (baseline) | 1 | 4.5 | 16 | 6 | 0 | 3.2 | 1.8e-05 | 21 |
+---------------------+------------------------------+--------------------+----------------+-----------+------------------------+------------+-----------+---------+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-Scenarios-ArraySet.
SOURCE
Source repository is at https://github.com/perlancar/perl-Bencher-Scenarios-ArraySet.
BUGS
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.
SEE ALSO
AUTHOR
perlancar <perlancar@cpan.org>
COPYRIGHT AND LICENSE
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.