PHP 5.3 以上版本,使用pthreads PHP擴展,可使PHP真正地支持多線程。多線程在處理重複性的循環任務,可以大大縮短程序執行時間
我以前的文章中說過,大多數網站的性能瓶頸不在PHP服務器上,由於它能夠簡單地經過橫向增長服務器或CPU核數來輕鬆應對(對於各類雲主機,增長VPS或CPU核數就更方便了,直接以備份鏡像增長VPS,連操做系統、環境都不用安裝配置),而是在於MySQL數據庫。
若是用 MySQL 數據庫,一條聯合查詢的SQL,也許就能夠處理完業務邏輯,可是,遇到大量併發請求,就歇菜了。
若是用 NoSQL 數據庫,也許須要十次查詢,才能處理完一樣地業務邏輯,但每次查詢都比 MySQL 要快,十次循環NoSQL查詢也許比一次MySQL聯合查詢更快,應對幾萬次/秒的查詢徹底沒問題。
如 果加上PHP多線程,經過十個線程同時查詢NoSQL,返回結果彙總輸出,速度就要更快了。咱們實際的APP產品中,調用一個經過用戶喜愛實時推薦商品的 PHP接口,PHP須要對BigSea NoSQL數據庫發起500~1000次查詢,來實時算出用戶的個性喜愛商品數據,PHP多線程的做用很是明顯。 php
PHP擴展下載:https://github.com/krakjoe/pthreads
PHP手冊文檔:http://php.net/manual/zh/book.pthreads.php mysql
一、擴展的編譯安裝(Linux),編譯參數 --enable-maintainer-zts 是必選項: git
cd /Data/tgz/php-5.5.1
./configure --prefix=/Data/apps/php --with-config-file-path=/Data/apps/php/etc --with-mysql=/Data/apps/mysql --with-mysqli=/Data/apps/mysql/bin/mysql_config --with-iconv-dir --with-freetype-dir=/Data/apps/libs --with-jpeg-dir=/Data/apps/libs --with-png-dir=/Data/apps/libs --with-zlib --with-libxml-dir=/usr --enable-xml --disable-rpath --enable-bcmath --enable-shmop --enable-sysvsem --enable-inline-optimization --with-curl --enable-mbregex --enable-fpm --enable-mbstring --with-mcrypt=/Data/apps/libs --with-gd --enable-gd-native-ttf --with-openssl --with-mhash --enable-pcntl --enable-sockets --with-xmlrpc --enable-zip --enable-soap --enable-opcache --with-pdo-mysql --enable-maintainer-zts
make clean
make
make install
unzip pthreads-master.zip
cd pthreads-master
/Data/apps/php/bin/phpize
./configure --with-php-config=/Data/apps/php/bin/php-config
make
make install
php.ini中添加: github
vi /Data/apps/php/etc/php.ini
extension = "pthreads.so"
給出一段PHP多線程、與For循環,抓取百度搜索頁面的PHP代碼示例:
sql
<?php class test_thread_run extends Thread { public $url; public $data; public function __construct($url) { $this->url = $url; } public function run() { if(($url = $this->url)) { $this->data = model_http_curl_get($url); } } } function model_thread_result_get($urls_array) { foreach ($urls_array as $key => $value) { $thread_array[$key] = new test_thread_run($value["url"]); $thread_array[$key]->start(); } foreach ($thread_array as $thread_array_key => $thread_array_value) { while($thread_array[$thread_array_key]->isRunning()) { usleep(10); } if($thread_array[$thread_array_key]->join()) { $variable_data[$thread_array_key] = $thread_array[$thread_array_key]->data; } } return $variable_data; } function model_http_curl_get($url,$userAgent="") { $userAgent = $userAgent ? $userAgent : 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.2)'; $curl = curl_init(); curl_setopt($curl, CURLOPT_URL, $url); curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1); curl_setopt($curl, CURLOPT_TIMEOUT, 5); curl_setopt($curl, CURLOPT_USERAGENT, $userAgent); $result = curl_exec($curl); curl_close($curl); return $result; } for ($i=0; $i < 100; $i++) { $urls_array[] = array("name" => "baidu", "url" => "http://www.baidu.com/s?wd=".mt_rand(10000,20000)); } $t = microtime(true); $result = model_thread_result_get($urls_array); $e = microtime(true); echo "多線程:".($e-$t)." "; $t = microtime(true); foreach ($urls_array as $key => $value) { $result_new[$key] = model_http_curl_get($value["url"]); } $e = microtime(true); echo "For循環:".($e-$t)." "; ?>