195 lines
7.2 KiB
Perl
Executable file
195 lines
7.2 KiB
Perl
Executable file
#!/usr/bin/perl
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# Can be invoked as:
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# ./bench.PL # generates FU/Benchmarks.pod, running new benchmarks as necessary
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# ./bench.PL id x y # invalidate cache for the (regex-)matching benchmark IDs, x and y and re-run them
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#
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# This script obviously has more dependencies than the FU distribution itself.
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# It's supposed to be used by maintainers, not users.
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# MakeMaker automatically runs this script as a default built step, but that's not very useful.
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BEGIN { exit if @ARGV && @ARGV[0] eq 'bench'; }
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use v5.36;
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use builtin 'true', 'false';
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use Benchmark ':hireswallclock', 'timethis';
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my %modules = map +($_, eval "require $_; \$${_}::VERSION"), qw/
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FU
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Cpanel::JSON::XS
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JSON::PP
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JSON::XS
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JSON::SIMD
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/;
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my %data; # "id x y" => { id x y rate exists }
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my %oldmodules;
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{ if (open my $F, '<', 'FU/Benchmarks.pod') {
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my $indata;
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while (<$F>) {
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chomp;
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$oldmodules{$1} = $2 if /^=item L<([a-zA-Z0-9:]+)> ([0-9.]+)/;
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$indata = 1 if /^# Cached data used by bench\.PL/;
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next if !$indata || !$_ || /^#/;
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my %d;
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@d{qw/id x y rate/} = split /\t/;
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$data{"$d{id} $d{x} $d{y}"} = \%d;
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}
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} }
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if (@ARGV) {
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my $idre = qr/$ARGV[0]/i;
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my $xre = $ARGV[1] ? qr/$ARGV[1]/i : qr/.*/;
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my $yre = $ARGV[2] ? qr/$ARGV[2]/i : qr/.*/;
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delete $_->{rate} for grep $_->{id} =~ /$idre/ && $_->{x} =~ /$xre/ && $_->{y} =~ /$yre/, values %data;
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}
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my @bench; # [ id, text, [ x_1, .. ], [ [ y_1, mod_1, sub_1, .. ], .. ] ]
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sub def($id, $text, $xs, @ys) {
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for my ($ya) (@ys) {
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my($y, $m, @sub) = @$ya;
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$m ||= $y;
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for my($i, $x) (builtin::indexed @$xs) {
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my $d = "$id $x $y";
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$data{$d} ||= { id => $id, x => $x, y => $y };
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$d = $data{$d};
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$d->{exists} = 1;
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delete $d->{rate} if !$oldmodules{$m} || $modules{$m} ne $oldmodules{$m};
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if (!exists $d->{rate}) {
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my $o = timethis -1, $sub[$i], 0, 'none';
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$d->{rate} = sprintf '%.0f', $o->iters/$o->real;
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printf "%-20s%-12s%-20s%10d/s\n", $id, $x, $y, $d->{rate};
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}
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}
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}
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push @bench, [ $id, $text, $xs, \@ys ];
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}
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use FU::Util 'json_format', 'json_parse';
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sub defjson($name, $canon, $text, $val) {
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# Use similar options for fair comparisons.
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my $cp = Cpanel::JSON::XS->new->allow_nonref->unblessed_bool->convert_blessed;
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my $pp = JSON::PP->new->allow_nonref->core_bools->convert_blessed;
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my $xs = JSON::XS->new->allow_nonref->boolean_values([false,true])->convert_blessed;
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my $si = JSON::SIMD->new->allow_nonref->core_bools->convert_blessed;
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my $c_cp = Cpanel::JSON::XS->new->allow_nonref->unblessed_bool->convert_blessed->canonical;
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my $c_pp = JSON::PP->new->allow_nonref->core_bools->convert_blessed->canonical;
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my $c_xs = JSON::XS->new->allow_nonref->boolean_values([false,true])->convert_blessed->canonical;
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my $c_si = JSON::SIMD->new->allow_nonref->core_bools->convert_blessed->canonical;
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my $enc = json_format $val;
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def "json/$name", $text, [ 'Encode', $canon ? 'Canonical' : (), 'Decode' ],
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[ 'JSON::PP', undef, sub { $pp->encode($val) }, $canon ? sub { $c_pp->encode($val) } : (), sub { $pp->decode($enc) } ],
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[ 'Cpanel::JSON::XS', undef, sub { $cp->encode($val) }, $canon ? sub { $c_cp->encode($val) } : (), sub { $cp->decode($enc) } ],
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[ 'JSON::SIMD', undef, sub { $si->encode($val) }, $canon ? sub { $c_si->encode($val) } : (), sub { $si->decode($enc) } ],
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[ 'JSON::XS', undef, sub { $xs->encode($val) }, $canon ? sub { $c_xs->encode($val) } : (), sub { $xs->decode($enc) } ],
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[ 'FU::Util', 'FU', sub { json_format $val }, $canon ? sub { json_format $val, canonical => 1 } : (), sub { json_parse $enc } ];
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}
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# From JSON::XS POD.
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defjson api => 1, 'API object from L<JSON::XS> documentation.',
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[ map +{method => 'handleMessage', params => ['user1','we were just talking'], 'id' => undef, 'array' => [1,11,234,-5,1e5,1e7,1,0]}, 1..10 ];
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defjson objs => 1, 'Object (small)', [ map +{ map +("string$_", 1), 'a'..'f' }, 0..100 ];
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defjson objl => 1, 'Object (large)', { map +("string$_-something", 1), 'aa'..'zz' };
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defjson obju => 1, 'Object (large, mixed unicode)', { map +("str\x{1234}g$_-some\x{85232}hing", 1), 'aa'..'zz' };
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defjson ints => 0, 'Small integers', [ -5000..5000 ];
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defjson intl => 0, 'Large integers', [ map { my $n=$_; map +($n+1<<$_), 10..60 } 1..10 ];
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defjson strs => 0, 'ASCII strings', [ map +('hello, world', 'one more string', 'another string'), 1..100 ];
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defjson stru => 0, 'Unicode strings', do { use utf8;
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[ map +('グリザイアの果実 -LE FRUIT DE LA GRISAIA-', '💩', 'Я люблю нічого не робити'), 1..50 ];
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};
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defjson stres => 0, 'String escaping (few)', [ map 'This string needs to "be escaped" a little bit', 1..100 ];
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defjson strel => 0, 'String escaping (many)', [ map "This \" \\ needs \b\x01\x02\x03\x04 more", 1..100 ];
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delete @data{ grep !$data{$_}{exists}, keys %data };
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sub fmtbench($id, $text, $xs, $ys) {
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my $r = "$text\n\n";
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if (@$xs > 1) {
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$r .= sprintf '%18s', '';
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$r .= sprintf '%12s', $_ for @$xs;
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$r .= "\n";
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}
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for my ($n, $yr) (builtin::indexed @$ys) {
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my $x = $xs->[$n];
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my ($y, $m, @ys) = @$yr;
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$m ||= $y;
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$r .= sprintf '%18s', $y;
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$r .= sprintf '%10d/s', $data{"$id $xs->[$_] $y"}{rate} for (0..$#$xs);
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$r .= "\n";
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}
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"$r\n"
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}
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{
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open my $F, '>FU/Benchmarks.pod' or die $!;
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select $F;
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while (<DATA>) {
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s#^:modules#join '', map sprintf("=item L<%s> %s\n\n", $_, $modules{$_}), sort keys %modules#e;
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s#^:benches (.+)#join '', map fmtbench(@$_), grep $_->[0] =~ /$1/, @bench#e;
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print;
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}
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for (sort keys %data) {
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my $b = $data{$_};
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print join("\t", @{$b}{qw/ id x y rate /})."\n";
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}
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}
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__DATA__
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=head1 NAME
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FU::Benchmarks - A bunch of automated benchmark results.
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=head1 DESCRIPTION
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This file is automatically generated from 'bench.PL' in the L<FU> distribution.
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These benchmarks compare performance of some FU functionality against similar
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modules found on CPAN.
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B<DISCLAIMER#1:> Obtaining accurate measurements is notoriously hard. Take the
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numbers below with a few buckets of salt, any difference below 10% is most
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likely noise.
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B<DISCLAIMER#2:> Goodhart's law: "When a measure becomes a target, it ceases to
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be a good measure". I've used these benchmarks to find and optimize hotspots in
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FU, which in turn means these numbers may look better than they are in
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real-world use.
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B<DISCLAIMER#3:> Many of these benchmarks exists solely to test edge case
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performance, these numbers are not representative for real-world use.
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=head1 MODULE VERSIONS
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The following module versions were used:
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=over
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:modules
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=back
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=head1 BENCHMARKS
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=head2 JSON Parsing & Formatting
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These benchmarks run on large-ish arrays with repeated values. JSON encoding is
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sufficiently fast that Perl function calling overhead tends to dominate for
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smaller inputs, but I don't find that overhead very interesting.
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Also worth noting that JSON::SIMD formatting code is forked from JSON::XS, the
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SIMD parts are only used for parsing.
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:benches ^json
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=cut
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# Cached data used by bench.PL. Same as the formatted tables above but easier to parse.
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