PHP 系統預設的 Hash 演算法(算 特徵值 用)，哪種演算法最快呢？
PHP 使用哪種 Hash 演算法速度最快
此篇有將所有演算法做速度測試(含 Source code)：Fastest hash for non-cryptographic uses
有兩個人寫程式去做測試的結果，最快的都是 crc32，如下述：
fcn time generated hash crc32: 0.03163 798740135 md5: 0.0731 0dbab6d0c841278d33be207f14eeab8b sha1: 0.07331 417a9e5c9ac7c52e32727cfd25da99eca9339a80 xor: 0.65218 119 xor2: 0.29301 134217728 add: 0.57841 1105
測試程式
<?php
set_time_limit(720);
$begin = startTime();
$scores = array();
foreach (hash_algos() as $algo) {
$scores[$algo] = 0;
}
for ($i = 0; $i < 10000; $i++) {
$number = rand()*100000000000000;
$string = randomString(500);
foreach(hash_algos() as $algo) {
$start = startTime();
hash($algo, $number); //Number
hash($algo, $string); //String
$end = endTime($start);
$scores[$algo] += $end;
}
}
asort($scores);
$i=1;
foreach($scores as $alg => $time) {
print $i.' - '.$alg.' '.$time.'<br />';
$i++;
}
echo "Entire page took ".endTime($begin).' seconds<br />';
echo "<br /><br /><h2>Hashes Compared</h2>";
foreach($scores as $alg => $time) {
print $i.' - '.$alg.' '.hash($alg,$string).'<br />';
$i++;
}
function startTime() {
$mtime = microtime();
$mtime = explode(" ",$mtime);
$mtime = $mtime[1] + $mtime[0];
return $mtime;
}
function endTime($starttime) {
$mtime = microtime();
$mtime = explode(" ",$mtime);
$mtime = $mtime[1] + $mtime[0];
$endtime = $mtime;
return $totaltime = ($endtime - $starttime);
}
function randomString($length) {
$characters = '0123456789abcdefghijklmnopqrstuvwxyz';
$string = '';
for ($p = 0; $p < $length; $p++) {
$string .= $characters[mt_rand(0, strlen($characters) - 1)];
}
return $string;
}
?>
結果
1 - crc32b 0.111036300659 2 - crc32 0.112048864365 3 - md4 0.120795726776 4 - md5 0.138875722885 5 - sha1 0.146368741989 6 - adler32 0.15501332283 7 - tiger192,3 0.177447080612 8 - tiger160,3 0.179498195648 9 - tiger128,3 0.184012889862 10 - ripemd128 0.184052705765 11 - ripemd256 0.185411214828 12 - salsa20 0.198500156403 13 - salsa10 0.204956293106 14 - haval160,3 0.206098556519 15 - haval256,3 0.206891775131 16 - haval224,3 0.206954240799 17 - ripemd160 0.207638263702 18 - tiger192,4 0.208125829697 19 - tiger160,4 0.208438634872 20 - tiger128,4 0.209359407425 21 - haval128,3 0.210256814957 22 - sha256 0.212738037109 23 - ripemd320 0.215386390686 24 - haval192,3 0.215610980988 25 - sha224 0.218329429626 26 - haval192,4 0.256464719772 27 - haval160,4 0.256565093994 28 - haval128,4 0.257113456726 29 - haval224,4 0.258928537369 30 - haval256,4 0.259262084961 31 - haval192,5 0.288433790207 32 - haval160,5 0.290239810944 33 - haval256,5 0.291721343994 34 - haval224,5 0.294484138489 35 - haval128,5 0.300224781036 36 - sha384 0.352449893951 37 - sha512 0.354603528976 38 - gost 0.392376661301 39 - whirlpool 0.629067659378 40 - snefru256 0.829529047012 41 - snefru 0.833986997604 42 - md2 1.80192279816 Entire page took 22.755341053 seconds Hashes Compared 1 - crc32b 761331d7 2 - crc32 7e8c6d34 3 - md4 1bc8785de173e77ef28a24bd525beb68 4 - md5 9f9cfa3b5b339773b8d6dd77bbe931dd 5 - sha1 ca2bd798e47eab85655f0ce03fa46b2e6e20a31f 6 - adler32 f5f2aefc 7 - tiger192,3 d11b7615af06779259b29446948389c31d896dee25edfc50 8 - tiger160,3 d11b7615af06779259b29446948389c31d896dee 9 - tiger128,3 d11b7615af06779259b29446948389c3 10 - ripemd128 5f221a4574a072bc71518d150ae907c8 11 - ripemd256 bc89cd79f4e70b73fbb4faaf47a3caf263baa07e72dd435a0f62afe840f5c71c 12 - salsa20 91d9b963e172988a8fc2c5ff1a8d67073b2c5a09573cb03e901615dc1ea5162640f607e0d7134c981eedb761934cd8200fe90642a4608eacb82143e6e7b822c4 13 - salsa10 320b8cb8498d590ca2ec552008f1e55486116257a1e933d10d35c85a967f4a89c52158f755f775cd0b147ec64cde8934bae1e13bea81b8a4a55ac2c08efff4ce 14 - haval160,3 27ad6dd290161b883e614015b574b109233c7c0e 15 - haval256,3 03706dd2be7b1888bf9f3b151145b009859a720e3fe921a575e11be801c54c9a 16 - haval224,3 16706dd2c77b1888c29f3b151745b009879a720e4fe921a576e11be8 17 - ripemd160 f419c7c997a10aaf2d83a5fa03c58350d9f9d2e4 18 - tiger192,4 112f486d3a9000f822c050a204d284d52473f267b1247dbd 19 - tiger160,4 112f486d3a9000f822c050a204d284d52473f267 20 - tiger128,4 112f486d3a9000f822c050a204d284d5 21 - haval128,3 9d9155d430218e4dcdde1c62962ecca3 22 - sha256 6027f87b4dd4c732758aa52049257f9e9db7244f78c132d36d47f9033b5c3b09 23 - ripemd320 9ac00db553b51662826267daced37abfccca6433844f67d8f8cfd243cf78bbbf86839daf0961b61d 24 - haval192,3 7d706dd2d37c1888eaa53b154948b009e09c720effed21a5 25 - sha224 b6395266d8c7e40edde77969359e6a5d725f322e2ea4bd73d3d25768 26 - haval192,4 d87cd76e4c8006d401d7068dce5dec3d02dfa037d196ea14 27 - haval160,4 f2ddd76e156d0cd40eec0b8d09c8f23d0f47a437 28 - haval128,4 f066e6312b91e7ef69f26b2adbeba875 29 - haval224,4 1b7cd76ea97c06d439d6068d7d56ec3d73dba0373895ea14e465bc0e 30 - haval256,4 157cd76e8b7c06d432d6068d7556ec3d66dba0371c95ea14e165bc0ec31b9d37 31 - haval192,5 05f9ea219ae1b98ba33bac6b37ccfe2f248511046c80c2f0 32 - haval160,5 e054ec218637bc8b4bf1b26b2fb40230e0161904 33 - haval256,5 48f6ea210ee1b98be835ac6b7dc4fe2f39841104a37cc2f06ceb2bf58ab4fe78 34 - haval224,5 57f6ea2111e1b98bf735ac6b92c4fe2f43841104ab7cc2f076eb2bf5 35 - haval128,5 ccb8e0ac1fd12640ecd8976ab6402aa8 36 - sha384 bcf0eeaa1479bf6bef7ece0f5d7111c3aeee177aa7990926c633891464534cd8a6c69d905c36e882b3350ef40816ed02 37 - sha512 8def9a1e6e31423ef73c94251d7553f6fe3ed262c44e852bdb43e3e2a2b76254b4da5ef25aefb32aae260bb386cd133045adfa2024b067c2990b60d6f014e039 38 - gost ef6cb990b754b1d6a428f6bb5c113ee22cc9533558d203161441933d86e3b6f8 39 - whirlpool 54eb1d0667b6fdf97c01e005ac1febfacf8704da55c70f10f812b34cd9d45528b60d20f08765ced0ab3086d2bde312259aebf15d105318ae76995c4cf9a1e981 40 - snefru256 20849cbeda5ddec5043c09d36b2de4ba0ea9296b6c9efaa7c7257f30f351aea4 41 - snefru 20849cbeda5ddec5043c09d36b2de4ba0ea9296b6c9efaa7c7257f30f351aea4 42 - md2 d4864c8c95786480d1cf821f690753dc
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