NAME
Bencher::Scenario::DataCleansing::Object - Benchmark data cleansing (unblessing object)
VERSION
This document describes version 0.004 of Bencher::Scenario::DataCleansing::Object (from Perl distribution Bencher-Scenarios-DataCleansing), released on 2017-08-25.
SYNOPSIS
To run benchmark with default option:
% bencher -m DataCleansing::ObjectTo run module startup overhead benchmark:
% bencher --module-startup -m DataCleansing::ObjectFor 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.
Acme::Damn 0.08
Data::Clean 0.49
Data::Rmap 0.64
JSON::PP 2.27300
Scalar::Util 1.45
BENCHMARK PARTICIPANTS
Data::Clean-inplace (perl_code) [inplace]
Code template:
state $cl = Data::Clean->new(-obj => ["unbless"]); $cl->clean_in_place(<data>)Data::Clean-clone (perl_code)
Code template:
state $cl = Data::Clean->new(-obj => ["unbless"]); $cl->clone_and_clean(<data>)JSON::PP (perl_code)
Code template:
state $json = JSON::PP->new->allow_blessed(1)->convert_blessed(1); $json->decode($json->encode(<data>))Data::Rmap (perl_code) [inplace]
Code template:
my $data = <data>; Data::Rmap::rmap_ref(sub { Acme::Damn::damn($_) if Scalar::Util::blessed($_) }, $data); $data
BENCHMARK DATASETS
ary100-u1-obj
A 100-element array containing 1 "unclean" data: object
ary100-u100-obj
A 100-element array containing 100 "unclean" data: object
ary10k-u1-obj
A 10k-element array containing 1 "unclean" data: object
ary10k-u10k-obj
A 10k-element array containing 10k "unclean" data: object
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 default options (bencher -m DataCleansing::Object):
#table1#
+---------------------+-----------------+---------+-----------+-----------+------------+---------+---------+
| participant | dataset | p_tags | rate (/s) | time (ms) | vs_slowest | errors | samples |
+---------------------+-----------------+---------+-----------+-----------+------------+---------+---------+
| JSON::PP | ary10k-u1-obj | | 165 | 6.06 | 1 | 5.4e-06 | 21 |
| Data::Rmap | ary10k-u10k-obj | inplace | 219 | 4.57 | 1.33 | 1.8e-06 | 20 |
| JSON::PP | ary10k-u10k-obj | | 240 | 4.2 | 1.4 | 6e-06 | 20 |
| Data::Rmap | ary10k-u1-obj | inplace | 441 | 2.27 | 2.67 | 1.5e-06 | 20 |
| Data::Clean-clone | ary10k-u10k-obj | | 752 | 1.33 | 4.56 | 4.8e-07 | 20 |
| Data::Clean-inplace | ary10k-u10k-obj | inplace | 990 | 1 | 6 | 1.3e-06 | 22 |
| JSON::PP | ary100-u1-obj | | 1560 | 0.64 | 9.47 | 6.2e-07 | 21 |
| JSON::PP | ary100-u100-obj | | 2020 | 0.494 | 12.3 | 1.9e-07 | 24 |
| Data::Rmap | ary100-u100-obj | inplace | 2200 | 0.46 | 13 | 8.5e-07 | 20 |
| Data::Clean-clone | ary10k-u1-obj | | 3100 | 0.32 | 19 | 6e-07 | 23 |
| Data::Clean-inplace | ary10k-u1-obj | inplace | 4000 | 0.3 | 20 | 4.3e-06 | 37 |
| Data::Rmap | ary100-u1-obj | inplace | 4300 | 0.23 | 26 | 1.4e-06 | 20 |
| Data::Clean-clone | ary100-u100-obj | | 7100 | 0.14 | 43 | 2.1e-07 | 20 |
| Data::Clean-inplace | ary100-u100-obj | inplace | 10600 | 0.0939 | 64.5 | 2.6e-08 | 21 |
| Data::Clean-clone | ary100-u1-obj | | 27792.1 | 0.0359814 | 168.432 | 1.1e-11 | 20 |
| Data::Clean-inplace | ary100-u1-obj | inplace | 38000 | 0.026 | 230 | 1e-07 | 20 |
+---------------------+-----------------+---------+-----------+-----------+------------+---------+---------+Benchmark module startup overhead (bencher -m DataCleansing::Object --module-startup):
#table2#
+---------------------+------------------------------+--------------------+----------------+-----------+------------------------+------------+---------+---------+
| participant | proc_private_dirty_size (MB) | proc_rss_size (MB) | proc_size (MB) | time (ms) | mod_overhead_time (ms) | vs_slowest | errors | samples |
+---------------------+------------------------------+--------------------+----------------+-----------+------------------------+------------+---------+---------+
| JSON::PP | 3.12 | 6.68 | 22.3 | 26.7 | 20.6 | 1 | 1.2e-05 | 20 |
| Data::Rmap | 1.4 | 4.9 | 19 | 15 | 8.9 | 1.8 | 3e-05 | 20 |
| Data::Clean | 1.1 | 4.5 | 16 | 11 | 4.9 | 2.4 | 3e-05 | 20 |
| perl -e1 (baseline) | 1.1 | 4.6 | 16 | 6.1 | 0 | 4.4 | 1.7e-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-DataCleansing.
SOURCE
Source repository is at https://github.com/perlancar/perl-Bencher-Scenarios-DataCleansing.
BUGS
Please report any bugs or feature requests on the bugtracker website https://rt.cpan.org/Public/Dist/Display.html?Name=Bencher-Scenarios-DataCleansing
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, 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.