NAME
Bencher::Scenario::DataCleansing::Object_DateTime - Benchmark data cleansing (DateTime objects into scalar)
VERSION
This document describes version 0.005 of Bencher::Scenario::DataCleansing::Object_DateTime (from Perl distribution Bencher-Scenarios-DataCleansing), released on 2019-09-11.
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 0.505
Data::Rmap 0.65
Data::Tersify 0.001
Scalar::Util 1.5
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: v5.26.1, CPU: Intel(R) Core(TM) M-5Y71 CPU @ 1.20GHz (2 cores), OS: GNU/Linux LinuxMint version 18.3, OS kernel: Linux version 4.10.0-38-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 | 12.1 | 82.4 | 1 | 4e-05 | 20 |
| Data::Clean-clone | ary1000-dt1000 | | 48.8 | 20.5 | 4.02 | 8.5e-06 | 21 |
| Data::Tersify | ary1000-dt1000 | | 58.6 | 17.1 | 4.83 | 8.7e-06 | 21 |
| Data::Clean-inplace | ary1000-dt1000 | inplace | 86 | 11.6 | 7.09 | 7.4e-06 | 20 |
| Data::Rmap | ary100-dt100 | inplace | 115 | 8.68 | 9.49 | 6.9e-06 | 20 |
| Data::Rmap | ary1000-dt1 | inplace | 299 | 3.35 | 24.6 | 2.9e-06 | 20 |
| Data::Clean-clone | ary100-dt100 | | 510 | 2 | 42 | 2.9e-06 | 20 |
| Data::Tersify | ary100-dt100 | | 627 | 1.59 | 51.7 | 1.5e-06 | 20 |
| Data::Rmap | ary10-dt10 | inplace | 640 | 1.6 | 53 | 2.2e-06 | 20 |
| Data::Clean-inplace | ary100-dt100 | inplace | 970 | 1 | 80 | 2.9e-06 | 20 |
| Data::Rmap | ary1-dt1 | inplace | 1160 | 0.859 | 96 | 8.5e-07 | 20 |
| Data::Tersify | ary1000-dt1 | | 1200 | 0.81 | 100 | 8.8e-07 | 21 |
| Data::Clean-clone | ary1000-dt1 | | 2170 | 0.461 | 179 | 4.3e-07 | 20 |
| Data::Clean-clone | ary10-dt10 | | 3600 | 0.28 | 300 | 1.2e-06 | 23 |
| Data::Clean-inplace | ary1000-dt1 | inplace | 3800 | 0.26 | 320 | 2.7e-07 | 20 |
| Data::Tersify | ary10-dt10 | | 4800 | 0.21 | 400 | 6.9e-07 | 20 |
| Data::Clean-inplace | ary10-dt10 | inplace | 6700 | 0.15 | 550 | 1.1e-06 | 21 |
| Data::Clean-clone | ary1-dt1 | | 10000 | 0.1 | 830 | 2.1e-07 | 21 |
| Data::Tersify | ary1-dt1 | | 15000 | 0.065 | 1300 | 3.2e-07 | 20 |
| Data::Clean-inplace | ary1-dt1 | inplace | 18000 | 0.056 | 1500 | 1.2e-07 | 26 |
+---------------------+----------------+---------+-----------+-----------+------------+---------+---------+Benchmark module startup overhead (bencher -m DataCleansing::Object_DateTime --module-startup):
#table2#
+---------------------+-----------+------------------------+------------+---------+---------+
| participant | time (ms) | mod_overhead_time (ms) | vs_slowest | errors | samples |
+---------------------+-----------+------------------------+------------+---------+---------+
| Data::Tersify | 32 | 23.3 | 1 | 3.5e-05 | 21 |
| Data::Rmap | 17 | 8.3 | 2 | 4.2e-05 | 20 |
| Data::Clean | 14 | 5.3 | 2.4 | 4.3e-05 | 20 |
| perl -e1 (baseline) | 8.7 | 0 | 3.7 | 5e-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) 2019, 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.