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NAME

Acme::CPANModules::UUID - List of modules that can generate immutable universally unique identifier (UUIDs)

VERSION

This document describes version 0.011 of Acme::CPANModules::UUID (from Perl distribution Acme-CPANModules-UUID), released on 2023-10-30.

SYNOPSIS

To run benchmark with default option:

 % bencher --cpanmodules-module UUID

To run module startup overhead benchmark:

 % bencher --module-startup --cpanmodules-module UUID

For more options (dump scenario, list/include/exclude/add participants, list/include/exclude/add datasets, etc), see bencher or run bencher --help.

DESCRIPTION

UUIDs (Universally Unique Identifiers), sometimes also called GUIDs (Globally Unique Identifiers), are 128-bit numbers that can be used as permanent IDs or keys in databases. There are several standards that specify UUID, one of which is RFC 4122 (2005), which we will follow in this document.

UUIDs are canonically represented as 32 hexadecimal digits in the form of:

 xxxxxxxx-xxxx-Mxxx-Nxxx-xxxxxxxxxxxx

There are several variants of UUID. The variant information is encoded using 1-3 bits in the N position. RFC 4122 defines 4 variants (0 to 3), two of which (0 and 3) are for legacy UUIDs, so that leaves variants 1 and 2 as the current specification.

There are 5 "versions" of UUID for both variants 1 & 2, each might be more suitable than others in specific cases. The version information is encoded in the M position. Version 1 (v1) UUIDs are generated from a time and a node ID (usually the MAC address); version 2 (v2) UUIDs from an identifier (group/user ID), a time, and a node ID; version 4 (v4) UUIDs from a rando/mpseudo-random number; version 3 (v3) UUIDs from hashing a namespace using MD5; version 5 (v5) from hashing a namespace using SHA-1.

Data::UUID should be your first choice, and when you cannot install XS modules you can use UUID::Tiny instead.

Aside from the modules listed as entries below, there are also: App::UUIDUtils (containing CLIs to create/check UUID), Data::GUID (currently just a wrapper for Data::UUID).

ACME::CPANMODULES ENTRIES

Data::UUID

Author: RJBS

This module creates v1 and v2 UUIDs. Depending on the OS, for MAC address, it usually uses a hash of hostname instead. This module is XS, so performance is good. If you cannot use an XS module, try UUID::Tiny instead.

The benchmark code creates 1000+1 v1 string UUIDs.

UUID::FFI

Author: PLICEASE

This module provides access to libuuid via the FFI interface. It can create v1 as well as v4 (random) UUIDs. Note that Data::UUID (XS-based) is faster this module (FFI-based).

The benchmark code creates 1000+1 v1 string UUIDs.

UUID::Tiny

Author: CAUGUSTIN

This module should be your go-to choice if you cannot use an XS module. It can create v1, v3, v4 UUIDs. However, the random v4 UUIDs are not cryptographically secure; if you need cryptographically secure random UUIDs, use Crypt::Misc.

The benchmark code creates 1000+1 v1 string UUIDs.

See also: Types::UUID which is a type library that uses Data::UUID as the backend.

UUID::Random

Author: PERLER

This module simply uses 32 calls to Perl's rand() to construct each random hexadecimal digits of the UUID (v4). Not really recommended, since perl's default pseudo-random generator is neither cryptographically secure nor has 128 bit of entropy. It also does not produce v4 UUIDs that conform to RFC 4122 (no encoding of variant & version information).

To create a cryptographically secure random UUIDs, use Crypt::Misc.

The benchmark code creates 1000+1 v4 string UUIDs.

UUID::Random::PERLANCAR

Author: PERLANCAR

Just another implementation of UUID::Random.

The benchmark code creates 1000+1 v4 string UUIDs.

UUID::Random::Secure

Author: PERLANCAR

Just like UUID::Random, except it uses Math::Random::Secure's irand() to produce random numbers.

The benchmark code creates 1000+1 v4 string UUIDs.

Crypt::Misc

Author: MIK

This module from the CryptX distribution has a function to create and check v4 UUIDs.

The benchmark code creates 1000+1 v4 string UUIDs.

UUID

Author: JRM

This module generates DCE-compatible UUIDs, which according to RFC belongs to the legacy variants.

The benchmark creates 1000+1 random UUIDs.

ACME::CPANMODULES FEATURE COMPARISON MATRIX

 +-------------------------+-----------+-----------+-----------+-----------+-----------+-------+-------+----------------+----------------------+---------------+
 | module                  | create_v1 | create_v2 | create_v3 | create_v4 | create_v5 | is_pp | is_xs | v4_rfc4122 *1) | v4_secure_random *2) | create_legacy |
 +-------------------------+-----------+-----------+-----------+-----------+-----------+-------+-------+----------------+----------------------+---------------+
 | Data::UUID              | yes       | yes       | no        | no        | no        | no    | yes   | N/A            | N/A                  | N/A           |
 | UUID::FFI               | yes       | no        | no        | yes       | no        | no    | yes   | yes            | no                   | N/A           |
 | UUID::Tiny              | yes       | no        | yes       | yes       | yes       | yes   | no    | yes            | no                   | N/A           |
 | UUID::Random            | no        | no        | no        | yes       | no        | yes   | no    | no             | no                   | N/A           |
 | UUID::Random::PERLANCAR | no        | no        | no        | yes       | no        | yes   | no    | yes            | no                   | N/A           |
 | UUID::Random::Secure    | no        | no        | no        | yes       | no        | yes   | no    | yes            | yes                  | N/A           |
 | Crypt::Misc             | no        | no        | no        | yes       | no        | yes   | no    | yes            | yes                  | N/A           |
 | UUID                    | no        | no        | no        | no        | no        | no    | yes   | no             | no                   | yes           |
 +-------------------------+-----------+-----------+-----------+-----------+-----------+-------+-------+----------------+----------------------+---------------+

Notes:

1. v4_rfc4122: Whether the generated v4 UUID follows RFC 4122 specification (i.e. encodes variant and version information in M & N positions)
2. v4_secure_random: Whether the module uses cryptographically secure pseudo-random number generator for v4 UUIDs

BENCHMARKED MODULES

Version numbers shown below are the versions used when running the sample benchmark.

Data::UUID 1.226

UUID::FFI 0.11

UUID::Tiny 1.04

UUID::Random 0.04

UUID::Random::PERLANCAR 0.005

UUID::Random::Secure 0.004

Crypt::Misc 0.078

UUID 0.29

BENCHMARK PARTICIPANTS

  • Data::UUID (perl_code)

    Code template:

     my $u = Data::UUID->new; $u->create for 1..1000; $u->to_string($u->create)
  • UUID::FFI (perl_code)

    Code template:

     UUID::FFI->new_time for 1..1000; UUID::FFI->new_time->as_hex
  • UUID::Tiny (perl_code)

    Code template:

     UUID::Tiny::create_uuid() for 1..1000; UUID::Tiny::uuid_to_string(UUID::Tiny::create_uuid())
  • UUID::Random (perl_code)

    Code template:

     UUID::Random::generate() for 1..1000; ; UUID::Random::generate()
  • UUID::Random::PERLANCAR::generate (perl_code)

    Code template:

     UUID::Random::PERLANCAR::generate() for 1..1000; UUID::Random::PERLANCAR::generate()
  • UUID::Random::PERLANCAR::generate_rfc (perl_code)

    Code template:

     UUID::Random::PERLANCAR::generate_rfc() for 1..1000; UUID::Random::PERLANCAR::generate_rfc()
  • UUID::Random::Secure::generate (perl_code)

    Code template:

     UUID::Random::Secure::generate() for 1..1000; UUID::Random::Secure::generate()
  • UUID::Random::Secure::generate_rfc (perl_code)

    Code template:

     UUID::Random::Secure::generate_rfc() for 1..1000; UUID::Random::Secure::generate_rfc()
  • Crypt::Misc (perl_code)

    Code template:

     Crypt::Misc::random_v4uuid() for 1..1000; Crypt::Misc::random_v4uuid()
  • UUID (perl_code)

    Code template:

     my $uuid; UUID::generate_random($uuid) for 1..1000; UUID::generate_random($uuid); $uuid

BENCHMARK SAMPLE RESULTS

Sample benchmark #1

Run on: perl: v5.38.0, CPU: Intel(R) Core(TM) i5-7200U CPU @ 2.50GHz (2 cores), OS: GNU/Linux Ubuntu version 20.04, OS kernel: Linux version 5.4.0-164-generic.

Benchmark command (default options):

 % bencher --cpanmodules-module UUID

Result formatted as table:

 #table1#
 +---------------------------------------+-----------+-----------+-----------------------+-----------------------+-----------+---------+
 | participant                           | rate (/s) | time (ms) | pct_faster_vs_slowest | pct_slower_vs_fastest |  errors   | samples |
 +---------------------------------------+-----------+-----------+-----------------------+-----------------------+-----------+---------+
 | UUID::Random::Secure::generate        |        30 |     30    |                 0.00% |              4218.76% |   0.0013  |      22 |
 | UUID::Random::Secure::generate_rfc    |        40 |     20    |                42.61% |              2928.29% |   0.0003  |      21 |
 | UUID::Random                          |       100 |      9    |               257.90% |              1106.70% |   0.00018 |      20 |
 | UUID::Tiny                            |       100 |      8    |               335.56% |               891.54% |   0.00013 |      20 |
 | UUID                                  |       171 |      5.84 |               481.07% |               643.25% | 1.4e-06   |      21 |
 | Crypt::Misc                           |       296 |      3.37 |               906.43% |               329.12% | 2.6e-06   |      20 |
 | UUID::Random::PERLANCAR::generate_rfc |       520 |      1.9  |              1682.35% |               142.31% | 7.6e-06   |      20 |
 | UUID::Random::PERLANCAR::generate     |       900 |      1    |              2809.14% |                48.45% | 2.5e-05   |      23 |
 | UUID::FFI                             |       870 |      1.2  |              2848.45% |                46.48% | 1.8e-06   |      20 |
 | Data::UUID                            |      1000 |      0.8  |              4218.76% |                 0.00% | 9.3e-06   |      21 |
 +---------------------------------------+-----------+-----------+-----------------------+-----------------------+-----------+---------+

The above result formatted in Benchmark.pm style:

             Rate  URS:g  URS:g_r    U:R   U:T     U   C:M  URP:g_r   U:F  URP:g   D:U 
  URS:g      30/s     --     -33%   -70%  -73%  -80%  -88%     -93%  -96%   -96%  -97% 
  URS:g_r    40/s    50%       --   -55%  -60%  -70%  -83%     -90%  -94%   -95%  -96% 
  U:R       100/s   233%     122%     --  -11%  -35%  -62%     -78%  -86%   -88%  -91% 
  U:T       100/s   275%     150%    12%    --  -27%  -57%     -76%  -85%   -87%  -90% 
  U         171/s   413%     242%    54%   36%    --  -42%     -67%  -79%   -82%  -86% 
  C:M       296/s   790%     493%   167%  137%   73%    --     -43%  -64%   -70%  -76% 
  URP:g_r   520/s  1478%     952%   373%  321%  207%   77%       --  -36%   -47%  -57% 
  U:F       870/s  2400%    1566%   650%  566%  386%  180%      58%    --   -16%  -33% 
  URP:g     900/s  2900%    1900%   800%  700%  484%  237%      89%   19%     --  -19% 
  D:U      1000/s  3650%    2400%  1025%  900%  630%  321%     137%   49%    25%    -- 
 
 Legends:
   C:M: participant=Crypt::Misc
   D:U: participant=Data::UUID
   U: participant=UUID
   U:F: participant=UUID::FFI
   U:R: participant=UUID::Random
   U:T: participant=UUID::Tiny
   URP:g: participant=UUID::Random::PERLANCAR::generate
   URP:g_r: participant=UUID::Random::PERLANCAR::generate_rfc
   URS:g: participant=UUID::Random::Secure::generate
   URS:g_r: participant=UUID::Random::Secure::generate_rfc

Sample benchmark #2

Benchmark command (benchmarking module startup overhead):

 % bencher --cpanmodules-module UUID --module-startup

Result formatted as table:

 #table2#
 +-------------------------+-----------+-------------------+-----------------------+-----------------------+-----------+---------+
 | participant             | time (ms) | mod_overhead_time | pct_faster_vs_slowest | pct_slower_vs_fastest |  errors   | samples |
 +-------------------------+-----------+-------------------+-----------------------+-----------------------+-----------+---------+
 | UUID::Random::Secure    |     95    |             88.45 |                 0.00% |              1352.22% |   0.00022 |      20 |
 | UUID::FFI               |     53    |             46.45 |                80.85% |               703.01% |   0.00013 |      20 |
 | UUID::Tiny              |     26.7  |             20.15 |               256.48% |               307.38% | 2.3e-05   |      20 |
 | Crypt::Misc             |     20.9  |             14.35 |               354.68% |               219.40% | 1.9e-05   |      20 |
 | Data::UUID              |     20    |             13.45 |               429.95% |               174.03% |   0.00041 |      20 |
 | UUID                    |     11.4  |              4.85 |               734.65% |                73.99% | 5.5e-06   |      20 |
 | UUID::Random            |      8.9  |              2.35 |               962.94% |                36.62% |   1e-05   |      20 |
 | UUID::Random::PERLANCAR |      8.94 |              2.39 |               964.20% |                36.46% | 7.2e-06   |      20 |
 | perl -e1 (baseline)     |      6.55 |              0    |              1352.22% |                 0.00% | 6.3e-06   |      20 |
 +-------------------------+-----------+-------------------+-----------------------+-----------------------+-----------+---------+

The above result formatted in Benchmark.pm style:

                          Rate   UR:S   U:F   U:T   C:M   D:U     U  UR:P   U:R  perl -e1 (baseline) 
  UR:S                  10.5/s     --  -44%  -71%  -78%  -78%  -88%  -90%  -90%                 -93% 
  U:F                   18.9/s    79%    --  -49%  -60%  -62%  -78%  -83%  -83%                 -87% 
  U:T                   37.5/s   255%   98%    --  -21%  -25%  -57%  -66%  -66%                 -75% 
  C:M                   47.8/s   354%  153%   27%    --   -4%  -45%  -57%  -57%                 -68% 
  D:U                   50.0/s   375%  165%   33%    4%    --  -42%  -55%  -55%                 -67% 
  U                     87.7/s   733%  364%  134%   83%   75%    --  -21%  -21%                 -42% 
  UR:P                 111.9/s   962%  492%  198%  133%  123%   27%    --    0%                 -26% 
  U:R                  112.4/s   967%  495%  200%  134%  124%   28%    0%    --                 -26% 
  perl -e1 (baseline)  152.7/s  1350%  709%  307%  219%  205%   74%   36%   35%                   -- 
 
 Legends:
   C:M: mod_overhead_time=14.35 participant=Crypt::Misc
   D:U: mod_overhead_time=13.45 participant=Data::UUID
   U: mod_overhead_time=4.85 participant=UUID
   U:F: mod_overhead_time=46.45 participant=UUID::FFI
   U:R: mod_overhead_time=2.35 participant=UUID::Random
   U:T: mod_overhead_time=20.15 participant=UUID::Tiny
   UR:P: mod_overhead_time=2.39 participant=UUID::Random::PERLANCAR
   UR:S: mod_overhead_time=88.45 participant=UUID::Random::Secure
   perl -e1 (baseline): mod_overhead_time=0 participant=perl -e1 (baseline)

To display as an interactive HTML table on a browser, you can add option --format html+datatables.

FAQ

What is an Acme::CPANModules::* module?

An Acme::CPANModules::* module, like this module, contains just a list of module names that share a common characteristics. It is a way to categorize modules and document CPAN. See Acme::CPANModules for more details.

What are ways to use this Acme::CPANModules module?

Aside from reading this Acme::CPANModules module's POD documentation, you can install all the listed modules (entries) using cpanm-cpanmodules script (from App::cpanm::cpanmodules distribution):

 % cpanm-cpanmodules -n UUID

Alternatively you can use the cpanmodules CLI (from App::cpanmodules distribution):

    % cpanmodules ls-entries UUID | cpanm -n

or Acme::CM::Get:

    % perl -MAcme::CM::Get=UUID -E'say $_->{module} for @{ $LIST->{entries} }' | cpanm -n

or directly:

    % perl -MAcme::CPANModules::UUID -E'say $_->{module} for @{ $Acme::CPANModules::UUID::LIST->{entries} }' | cpanm -n

This Acme::CPANModules module contains benchmark instructions. You can run a benchmark for some/all the modules listed in this Acme::CPANModules module using the bencher CLI (from Bencher distribution):

    % bencher --cpanmodules-module UUID

This Acme::CPANModules module also helps lcpan produce a more meaningful result for lcpan related-mods command when it comes to finding related modules for the modules listed in this Acme::CPANModules module. See App::lcpan::Cmd::related_mods for more details on how "related modules" are found.

HOMEPAGE

Please visit the project's homepage at https://metacpan.org/release/Acme-CPANModules-UUID.

SOURCE

Source repository is at https://github.com/perlancar/perl-Acme-CPANModules-UUID.

SEE ALSO

Acme::CPANModules - about the Acme::CPANModules namespace

cpanmodules - CLI tool to let you browse/view the lists

RFC 4122, https://tools.ietf.org/html/rfc4122

https://en.wikipedia.org/wiki/Universally_unique_identifier

AUTHOR

perlancar <perlancar@cpan.org>

CONTRIBUTING

To contribute, you can send patches by email/via RT, or send pull requests on GitHub.

Most of the time, you don't need to build the distribution yourself. You can simply modify the code, then test via:

 % prove -l

If you want to build the distribution (e.g. to try to install it locally on your system), you can install Dist::Zilla, Dist::Zilla::PluginBundle::Author::PERLANCAR, Pod::Weaver::PluginBundle::Author::PERLANCAR, and sometimes one or two other Dist::Zilla- and/or Pod::Weaver plugins. Any additional steps required beyond that are considered a bug and can be reported to me.

COPYRIGHT AND LICENSE

This software is copyright (c) 2023, 2021, 2020 by perlancar <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.

BUGS

Please report any bugs or feature requests on the bugtracker website https://rt.cpan.org/Public/Dist/Display.html?Name=Acme-CPANModules-UUID

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.