NAME
Bencher::Scenario::DataCleansing::Object_DateTime - Benchmark data cleansing (DateTime objects into scalar)
VERSION
This document describes version 0.004 of Bencher::Scenario::DataCleansing::Object_DateTime (from Perl distribution Bencher-Scenarios-DataCleansing), released on 2017-08-25.
SYNOPSIS
To run benchmark with default option:
% bencher -m DataCleansing::Object_DateTimeTo run module startup overhead benchmark:
% bencher --module-startup -m DataCleansing::Object_DateTimeFor 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
Data::Tersify 0.001
Scalar::Util 1.45
BENCHMARK PARTICIPANTS
Data::Clean-inplace (perl_code) [inplace]
Code template:
state $cl = Data::Clean->new(DateTime => ["stringify"]); $cl->clean_in_place(<data>)Data::Clean-clone (perl_code)
Code template:
state $cl = Data::Clean->new(DateTime => ["stringify"]); $cl->clone_and_clean(<data>)Data::Rmap (perl_code) [inplace]
Code template:
my $data = <data>; Data::Rmap::rmap_ref(sub { if (ref $_ eq "DateTime") { "$_" } else { $_ } }, $data); $dataData::Tersify (perl_code)
Code template:
Data::Tersify::tersify(<data>)
BENCHMARK DATASETS
ary1-dt1
A 1-element array containing 1 DateTime object
ary10-dt10
A 10-element array containing 10 DateTime objects
ary100-dt100
A 100-element array containing 100 DateTime objects
ary1000-dt1000
A 1000-element array containing 1000 DateTime objects
ary1000-dt1
A 1000-element array containing 1 DateTime objects
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_DateTime):
#table1#
+---------------------+----------------+---------+-----------+-----------+------------+---------+---------+
| participant | dataset | p_tags | rate (/s) | time (ms) | vs_slowest | errors | samples |
+---------------------+----------------+---------+-----------+-----------+------------+---------+---------+
| Data::Rmap | ary1000-dt1000 | inplace | 12.2 | 82 | 1 | 7.7e-05 | 20 |
| Data::Tersify | ary1000-dt1000 | | 60 | 17 | 4.9 | 6.6e-05 | 20 |
| Data::Clean-clone | ary1000-dt1000 | | 67 | 15 | 5.5 | 3.8e-05 | 20 |
| Data::Clean-inplace | ary1000-dt1000 | inplace | 92.3 | 10.8 | 7.57 | 7.4e-06 | 20 |
| Data::Rmap | ary100-dt100 | inplace | 120 | 8.7 | 9.4 | 2.5e-05 | 30 |
| Data::Rmap | ary1000-dt1 | inplace | 270 | 3.7 | 22 | 9.9e-06 | 20 |
| Data::Tersify | ary100-dt100 | | 628 | 1.59 | 51.5 | 1.4e-06 | 20 |
| Data::Rmap | ary10-dt10 | inplace | 636 | 1.57 | 52.2 | 9.1e-07 | 20 |
| Data::Clean-clone | ary100-dt100 | | 802 | 1.25 | 65.8 | 6.9e-07 | 20 |
| Data::Clean-inplace | ary100-dt100 | inplace | 1050 | 0.956 | 85.8 | 4.3e-07 | 20 |
| Data::Rmap | ary1-dt1 | inplace | 1160 | 0.863 | 95 | 4.3e-07 | 20 |
| Data::Tersify | ary1000-dt1 | | 1250 | 0.803 | 102 | 4.3e-07 | 20 |
| Data::Clean-clone | ary1000-dt1 | | 3160 | 0.316 | 259 | 2.1e-07 | 20 |
| Data::Clean-inplace | ary1000-dt1 | inplace | 3780 | 0.265 | 310 | 2.1e-07 | 21 |
| Data::Tersify | ary10-dt10 | | 4500 | 0.22 | 370 | 7.3e-07 | 31 |
| Data::Clean-clone | ary10-dt10 | | 5900 | 0.17 | 480 | 2e-07 | 22 |
| Data::Clean-inplace | ary10-dt10 | inplace | 6800 | 0.15 | 560 | 2e-07 | 23 |
| Data::Tersify | ary1-dt1 | | 14000 | 0.07 | 1200 | 2e-07 | 22 |
| Data::Clean-clone | ary1-dt1 | | 17000 | 0.059 | 1400 | 1.1e-07 | 20 |
| Data::Clean-inplace | ary1-dt1 | inplace | 18000 | 0.056 | 1500 | 5.5e-07 | 21 |
+---------------------+----------------+---------+-----------+-----------+------------+---------+---------+Benchmark module startup overhead (bencher -m DataCleansing::Object_DateTime --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 |
+---------------------+------------------------------+--------------------+----------------+-----------+------------------------+------------+---------+---------+
| Data::Tersify | 12 | 16 | 46 | 33 | 25.6 | 1 | 3.7e-05 | 20 |
| Data::Rmap | 1.4 | 4.9 | 19 | 16 | 8.6 | 2 | 6.3e-05 | 20 |
| Data::Clean | 1.1 | 4.6 | 16 | 13 | 5.6 | 2.5 | 7.5e-05 | 20 |
| perl -e1 (baseline) | 1.1 | 4.6 | 16 | 7.4 | 0 | 4.4 | 2.2e-05 | 20 |
+---------------------+------------------------------+--------------------+----------------+-----------+------------------------+------------+---------+---------+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.