NAME
Bencher::Scenario::ArraySet::diff - Benchmark diff operation
VERSION
This document describes version 0.002 of Bencher::Scenario::ArraySet::diff (from Perl distribution Bencher-Scenarios-ArraySet), released on 2016-09-16.
SYNOPSIS
To run benchmark with default option:
% bencher -m ArraySet::diffTo run module startup overhead benchmark:
% bencher --module-startup -m ArraySet::diffFor more options (dump scenario, list/include/exclude/add participants, list/include/exclude/add datasets, etc), see bencher or run bencher --help.
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_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)
Code template:
my $set1 = Set::Scalar->new; $set1->insert(@{<set1>}); my $set2 = Set::Scalar->new; $set2->insert(@{<set2>}); my $res = $set1->difference($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::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 | 344 | 2.91 | 1 | 2.1e-06 | 22 |
| Set::Scalar::difference | | 410 | 2.4 | 1.2 | 8.9e-06 | 20 |
| Set::Object::difference | | 1450 | 0.689 | 4.22 | 6.4e-07 | 20 |
| Array::Set::set_diff | 0.05 | 3160 | 0.317 | 9.19 | 2.1e-07 | 20 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table2#
{dataset=>"1000_10"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_diff | 0.02 | 240 | 4.2 | 1 | 4.3e-06 | 20 |
| Set::Scalar::difference | | 390 | 2.6 | 1.6 | 1e-05 | 22 |
| Set::Object::difference | | 1420 | 0.705 | 6.02 | 4.3e-07 | 20 |
| Array::Set::set_diff | 0.05 | 3140 | 0.319 | 13.3 | 2.1e-07 | 20 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table3#
{dataset=>"1000_100"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_diff | 0.02 | 57 | 18 | 1 | 7.4e-05 | 22 |
| Set::Scalar::difference | | 300 | 3 | 6 | 3e-05 | 20 |
| Set::Object::difference | | 1400 | 0.73 | 24 | 8.5e-07 | 20 |
| Array::Set::set_diff | 0.05 | 2600 | 0.38 | 46 | 4.8e-07 | 20 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table4#
{dataset=>"1000_1000"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (ms) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_diff | 0.02 | 14 | 73 | 1 | 8.9e-05 | 20 |
| Set::Scalar::difference | | 232 | 4.31 | 17 | 1.6e-06 | 20 |
| Set::Object::difference | | 1210 | 0.823 | 88.9 | 2.5e-07 | 22 |
| Array::Set::set_diff | 0.05 | 1950 | 0.512 | 143 | 2.4e-07 | 24 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table5#
{dataset=>"100_1"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_diff | 0.02 | 3300 | 300 | 1 | 4.2e-07 | 21 |
| Set::Scalar::difference | | 3310 | 303 | 1 | 2.1e-07 | 21 |
| Set::Object::difference | | 14000 | 72 | 4.2 | 1.3e-07 | 21 |
| Array::Set::set_diff | 0.05 | 33000 | 31 | 9.9 | 4.4e-08 | 29 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table6#
{dataset=>"100_10"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_diff | 0.02 | 2440 | 410 | 1 | 2e-07 | 22 |
| Set::Scalar::difference | | 3010 | 332 | 1.24 | 1.9e-07 | 26 |
| Set::Object::difference | | 13000 | 74 | 5.5 | 1.2e-07 | 25 |
| Array::Set::set_diff | 0.05 | 31200 | 32.1 | 12.8 | 1.2e-08 | 26 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table7#
{dataset=>"100_100"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Array::Set::set_diff | 0.02 | 1070 | 937 | 1 | 2.7e-07 | 20 |
| Set::Scalar::difference | | 1730 | 578 | 1.62 | 4.3e-07 | 20 |
| Set::Object::difference | | 12000 | 82 | 11 | 1e-07 | 22 |
| Array::Set::set_diff | 0.05 | 22053.2 | 45.3449 | 20.668 | 0 | 26 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table8#
{dataset=>"10_1"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Set::Scalar::difference | | 12000 | 85 | 1 | 1.1e-07 | 20 |
| Array::Set::set_diff | 0.02 | 28000 | 35 | 2.4 | 5.4e-08 | 31 |
| Set::Object::difference | | 100000 | 9.96 | 8.49 | 3.3e-09 | 21 |
| Array::Set::set_diff | 0.05 | 210000 | 4.8 | 18 | 6.7e-09 | 20 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table9#
{dataset=>"10_10"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Set::Scalar::difference | | 9000 | 111 | 1 | 5.3e-08 | 20 |
| Array::Set::set_diff | 0.02 | 22000 | 45 | 2.5 | 5.2e-08 | 21 |
| Set::Object::difference | | 94374 | 10.596 | 10.485 | 3.8e-11 | 20 |
| Array::Set::set_diff | 0.05 | 171000 | 5.85 | 19 | 5.7e-09 | 27 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table10#
{dataset=>"10_5"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Set::Scalar::difference | | 10417.2 | 95.9952 | 1 | 3.7e-11 | 22 |
| Array::Set::set_diff | 0.02 | 24000 | 42 | 2.3 | 4.2e-08 | 32 |
| Set::Object::difference | | 97300 | 10.3 | 9.34 | 3.3e-09 | 20 |
| Array::Set::set_diff | 0.05 | 180000 | 5.4 | 18 | 6.5e-09 | 21 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
#table11#
{dataset=>"1_1"}
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| participant | modver | rate (/s) | time (μs) | vs_slowest | errors | samples |
+-------------------------+--------+-----------+-----------+------------+---------+---------+
| Set::Scalar::difference | | 16200 | 61.7 | 1 | 2.7e-08 | 20 |
| Array::Set::set_diff | 0.02 | 130000 | 7.8 | 7.9 | 1.2e-08 | 23 |
| Set::Object::difference | | 250000 | 3.9 | 16 | 6.7e-09 | 20 |
| Array::Set::set_diff | 0.05 | 502000 | 1.99 | 31 | 6.9e-10 | 29 |
+-------------------------+--------+-----------+-----------+------------+---------+---------+Benchmark module startup overhead (bencher -m ArraySet::diff --module-startup):
#table12#
+---------------------+-----------+------------------------+------------+---------+---------+
| participant | time (ms) | mod_overhead_time (ms) | vs_slowest | errors | samples |
+---------------------+-----------+------------------------+------------+---------+---------+
| Set::Object | 16 | 11.5 | 1 | 5.8e-05 | 20 |
| Set::Scalar | 15 | 10.5 | 1.1 | 2.7e-05 | 20 |
| Array::Set | 8.1 | 3.6 | 2 | 4.7e-05 | 21 |
| perl -e1 (baseline) | 4.5 | 0 | 3.7 | 5.8e-06 | 20 |
+---------------------+-----------+------------------------+------------+---------+---------+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.
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) 2016 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.