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 . SOURCE Source repository is at . SEE ALSO Acme::CPANModules - about the Acme::CPANModules namespace cpanmodules - CLI tool to let you browse/view the lists RFC 4122, AUTHOR perlancar 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 . 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 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.