#! perl -slw use strict; use Benchmark qw[ cmpthese ]; our $TEST ||= 0; our $N = $TEST ? 10 : $N || 1000; our @data = map{ join' ', '2004-05-13', '14:02:00', ('blah') x (1+rand( 9 )) } 1 .. $N; our (@greedy, @explicit, @unpack); cmpthese( $TEST ? 1 : -1, { our_g => '@greedy = map {/(^\S*)\s(\S*)\s(.*$)/} @data', our_e => '@explicit = map {/(^\d{4}\-\d{2}\-\d{2})\s (\d{2}:\d{2}:\d{2})\s(.*$)/x} @data', our_u => '@unpack = map {unpack "A10 x A8 x A*" => $_} @data', my_g => 'my @greedy = map {/(^\S*)\s(\S*)\s(.*$)/} @data', my_e => 'my @explicit = map {/(^\d{4}\-\d{2}\-\d{2})\s (\d{2}:\d{2}:\d{2})\s(.*$)/x} @data', my_u => 'my @unpack = map {unpack "A10 x A8 x A*" => $_} @data', greedy => q[ my( $date, $time, $text ); m[(^\S*)\s(\S*)\s(.*$)] and ( $date, $time, $text ) = ( $1, $2, $3 ) # and $TEST and print "greedy: $date|$time|$text" for @data; ], explicit => q[ my( $date, $time, $text ); m[(^\d{4}\-\d{2}\-\d{2})\s(\d{2}:\d{2}:\d{2})\s(.*$)] and ( $date, $time, $text ) = ( $1, $2, $3 ) # and $TEST and print "explicit: $date|$time|$text" for @data; ], unpackA => q[ use bytes; my( $date, $time, $text ); ( $date, $time, $text ) = unpack 'A10 x A8 x A*', $_ # and $TEST and print "unpackA: $date|$time|$text" for @data; ], substr => q[ use bytes; my( $date, $time, $text ); ( $date, $time, $text ) = ( substr( $_, 0, 10 ), substr( $_, 11, 8 ), substr( $_, 20 ) ) # and $TEST and print "substr: $date|$time|$text" for @data; ], }); __END__ P:\test>362106 Rate our_e our_g our_u my_e my_g my_u unpackA substr explicit greedy our_e 72.4/s -- -2% -15% -28% -30% -43% -55% -73% -77% -79% our_g 73.6/s 2% -- -13% -27% -29% -42% -54% -73% -77% -79% our_u 85.0/s 17% 15% -- -16% -18% -33% -47% -69% -73% -75% my_e 101/s 39% 37% 19% -- -3% -20% -37% -63% -68% -71% my_g 104/s 43% 41% 22% 3% -- -18% -35% -62% -67% -70% my_u 126/s 74% 71% 48% 25% 21% -- -21% -53% -60% -64% unpackA 160/s 121% 117% 88% 59% 54% 27% -- -41% -49% -54% substr 270/s 273% 267% 218% 168% 160% 114% 69% -- -14% -22% explicit 314/s 334% 327% 270% 212% 203% 149% 96% 16% -- -9% greedy 346/s 378% 370% 307% 243% 234% 175% 116% 28% 10% --