我正在使用pcntl来加速一个相当流行的CLI php脚本，该脚本主要由一个类组成，负责在我的应用程序上发送所有自动电子邮件。
我的目标如下： 我想在foreach循环中将每个进程分配给某个任务，我使用的实现是下面代码示例中显示的实现。
问题是，一旦你分叉一个进程，它就会异步执行，并且还会获得父进程堆栈的副本。 在我的情况下，会发生的事情是一个任务只执行几次， 我的问题是如何设计这个脚本以更智能，以避免这种行为？。
代码：
/**
@description this is the main procedure of this class, it iteratates over the relevant tasks and sends the emails using the SendGrid wrapper class
@see SendGridWrapper
@return void
*/
public function execute(){
if(!isset($this->tasks)){
throw new exception("Please call getRelevantTasks() prior to trying to execute anything");
}
$proccesses = array();
foreach($this->tasks as $myTask){
$pid = pcntl_fork();
if($pid){
$proccesses[] = $pid;
}
else if($pid == -1){
die('FORK FAILED, STATUS -1');
}
else{
if(isset($myTask['recipient_model'])){
$this->currentModel = $myTask['recipient_model'];
$lang = $myTask['lang'];
$classPath = self::$modelsDir . $myTask['recipient_model'] . '.php';
$className = $myTask['recipient_model'];
if(!class_exists($myTask['recipient_model'] )){
require_once(dirname(__FILE__) . '/../' . $classPath);
}
else if(isset($recipientFetcher)){
unset($this->model);
unset($this->mailingList);
unset($this->substitutionList);
}
$this->model = null;
$this->mailingList = null;
$this->substitutionList = null;
$this->model = new $className($myTask['lang']);
$addresses = $this->model->getMailRecipients();
if(empty($addresses) || sizeof($addresses) == 0){
continue;
}
$this->model->prepare();
$this->substitutionList = $this->model->getDynamicParams();
}
else{
throw new exception('No recipient model was found');
}
foreach($addresses as $myMail){
$this->mailingList[$myMail['personal_email']] = $myMail['contact_name'];
}
$templatePath = dirname(__FILE__) . '/../';
$templatePath .= $lang ? self::$templatesDirEn . $myTask['html_email_path'] : self::$templatesDirHe . $myTask['html_email_path'];
$html = file_get_contents($templatePath);
$this->sendMail($html, $myTask['task_schedule_id']);
echo "model:" . $myTask['recipient_model'];
echo $this->log;
$this->log = "";
die("\r\n Child proccess has been executed successfully\r\n");
}
}
if($pid){
foreach($proccesses as $key => $val){
pcntl_waitpid($val, $status, WUNTRACED);
}
}
}
提前致谢， 奥列格。
答案 0 :(得分：12)
<强>简介
我看到你正在尝试发送邮件$this->sendMail($html, $myTask['task_schedule_id']);，我认为尝试使用多个进程完成此任务是一个非常糟糕的主意。您应该考虑使用消息队列执行此任务，因为电子邮件可能非常慢。
使用队列系统
您应该使用Gearman，ZeroMQ或Beanstalkd来执行此任务。最坏情况使用使用memcached实现您自己的简单消息队列。
这是典型的Gearman示例：https://stackoverflow.com/questions/13855907/when-to-send-auto-email-instantly-on-button-click-or-later
快速修复
删除所有这些代码并将其放在名为execute_worker的函数中，您可以将任务推送到该函数
// Break Task to groups
$tasks = array_chunk(range("A", "Z"), 10);
foreach($tasks as $task) {
$pid = pcntl_fork();
if ($pid == - 1) {
throw new ErrorException('FORK FAILED, STATUS -1');
break;
}
if ($pid == 0) {
execute_worker($task); // In Child
exit(); // In Child
}
}
使用主题
您还可以PHP Worker使用Thread或pThreads php get all the images from url which width and height >=200 more quicker来加快处理速度。
简单项目
与file_get_contents相比， curl被认为是慢的，并且没有接近curl_multi_init的力量，它允许并行处理多个cURL句柄。
请参阅：
我们的目标是实施我们自己的多file_get_contents 版本
多个file_get_contents示例
// My Storage
$s = new Storage();
// Threads Storage
$ts = array();
// Total Threads same as total pages
$pages = 100;
// Porpulate Threads (Don't Start Yet)
$i = 0;
while($i ++ < $pages) {
$ts[] = new Process($s, $i);
}
// Start the timer
$start = microtime(true);
// Lets start all our Threads
foreach($ts as $t) {
$t->start();
}
// Wait for all threads to compleate
foreach($ts as $t) {
$t->join();
}
printf("\n\nFound %s in %d pages", number_format($s->total), $pages);
printf("\nFinished %0.3f sec", microtime(true) - $start);
<强>输出
php a.php
3:01:37: 3548 #START {"page":1}
3:01:37: 7064 #START {"page":2}
3:01:37: 10908 #START {"page":3}
3:01:37: 10424 #START {"page":4}
3:01:37: 11472 #START {"page":5}
3:01:37: 3876 #START {"page":6}
3:01:37: 7276 #START {"page":7}
3:01:37: 11484 #START {"page":8}
3:01:37: 932 #START {"page":9}
3:01:37: 11492 #START {"page":10}
3:01:37: 11500 #START {"page":11}
3:01:37: 11508 #START {"page":12}
3:01:37: 11504 #START {"page":13}
3:01:37: 11512 #START {"page":14}
3:01:37: 11516 #START {"page":15}
3:01:37: 11520 #START {"page":16}
3:01:37: 11524 #START {"page":17}
3:01:37: 11528 #START {"page":18}
3:01:37: 10816 #START {"page":19}
3:01:37: 7280 #START {"page":20}
3:01:37: 11556 #START {"page":21}
3:01:37: 11560 #START {"page":22}
3:01:37: 11564 #START {"page":23}
3:01:37: 11612 #START {"page":24}
3:01:37: 11616 #START {"page":25}
3:01:37: 11600 #START {"page":26}
3:01:37: 11608 #START {"page":27}
3:01:37: 11568 #START {"page":28}
3:01:37: 11452 #START {"page":29}
3:01:38: 11624 #START {"page":30}
3:01:38: 11628 #START {"page":31}
3:01:38: 11632 #START {"page":32}
3:01:38: 11636 #START {"page":33}
3:01:38: 11644 #START {"page":34}
3:01:38: 11648 #START {"page":35}
3:01:38: 11652 #START {"page":36}
3:01:38: 11656 #START {"page":37}
3:01:38: 11660 #START {"page":38}
3:01:38: 11664 #START {"page":39}
3:01:38: 11668 #START {"page":40}
3:01:38: 11672 #START {"page":41}
3:01:38: 11676 #START {"page":42}
3:01:38: 11680 #START {"page":43}
3:01:38: 11684 #START {"page":44}
3:01:38: 11688 #START {"page":45}
3:01:38: 11692 #START {"page":46}
3:01:38: 11696 #START {"page":47}
3:01:38: 11700 #START {"page":48}
3:01:38: 11704 #START {"page":49}
3:01:38: 11712 #START {"page":50}
3:01:38: 11708 #START {"page":51}
3:01:38: 11716 #START {"page":52}
3:01:38: 11720 #START {"page":53}
3:01:38: 11724 #START {"page":54}
3:01:38: 11728 #START {"page":55}
3:01:38: 11732 #START {"page":56}
3:01:38: 11736 #START {"page":57}
3:01:38: 11740 #START {"page":58}
3:01:38: 11744 #START {"page":59}
3:01:38: 11748 #START {"page":60}
3:01:38: 11752 #START {"page":61}
3:01:38: 11756 #START {"page":62}
3:01:38: 11760 #START {"page":63}
3:01:38: 11764 #START {"page":64}
3:01:38: 11768 #START {"page":65}
3:01:38: 11772 #START {"page":66}
3:01:38: 11776 #START {"page":67}
3:01:38: 11780 #START {"page":68}
3:01:38: 11784 #START {"page":69}
3:01:38: 11788 #START {"page":70}
3:01:38: 11792 #START {"page":71}
3:01:38: 11796 #START {"page":72}
3:01:38: 11800 #START {"page":73}
3:01:38: 11804 #START {"page":74}
3:01:38: 11808 #START {"page":75}
3:01:38: 11812 #START {"page":76}
3:01:38: 11816 #START {"page":77}
3:01:38: 11820 #START {"page":78}
3:01:38: 11824 #START {"page":79}
3:01:38: 11828 #START {"page":80}
3:01:38: 11832 #START {"page":81}
3:01:38: 11836 #START {"page":82}
3:01:38: 11840 #START {"page":83}
3:01:38: 11844 #START {"page":84}
3:01:38: 11848 #START {"page":85}
3:01:38: 11852 #START {"page":86}
3:01:38: 11856 #START {"page":87}
3:01:38: 11860 #START {"page":88}
3:01:38: 11864 #START {"page":89}
3:01:38: 11868 #START {"page":90}
3:01:38: 11872 #START {"page":91}
3:01:38: 11876 #START {"page":92}
3:01:38: 11880 #START {"page":93}
3:01:38: 11884 #START {"page":94}
3:01:38: 11888 #START {"page":95}
3:01:38: 11892 #START {"page":96}
3:01:38: 11896 #START {"page":97}
3:01:38: 11900 #START {"page":98}
3:01:38: 11904 #START {"page":99}
3:01:38: 11908 #START {"page":100}
3:01:38: 11508 #END {"page":12,"byte":1141,"count":155839}
3:01:38: 10424 #END {"page":4,"byte":1201,"count":553595}
3:01:38: 11516 #END {"page":15,"byte":1204,"count":119612}
3:01:38: 3548 #END {"page":1,"byte":1208,"count":6737525}
3:01:38: 11484 #END {"page":8,"byte":1160,"count":257021}
3:01:38: 11472 #END {"page":5,"byte":1175,"count":446411}
3:01:38: 10908 #END {"page":3,"byte":1222,"count":787301}
3:01:38: 11492 #END {"page":10,"byte":1175,"count":193958}
3:01:38: 11504 #END {"page":13,"byte":1130,"count":141450}
3:01:38: 11528 #END {"page":18,"byte":1102,"count":95511}
3:01:38: 11524 #END {"page":17,"byte":1147,"count":102727}
3:01:38: 11560 #END {"page":22,"byte":1111,"count":73536}
3:01:38: 11556 #END {"page":21,"byte":1101,"count":78097}
3:01:38: 11500 #END {"page":11,"byte":1201,"count":172820}
3:01:38: 932 #END {"page":9,"byte":1159,"count":222922}
3:01:38: 11520 #END {"page":16,"byte":1135,"count":110510}
3:01:38: 7064 #END {"page":2,"byte":1165,"count":1264444}
3:01:38: 11512 #END {"page":14,"byte":1123,"count":129721}
3:01:38: 11612 #END {"page":24,"byte":1115,"count":65012}
3:01:38: 11600 #END {"page":26,"byte":1134,"count":58928}
3:01:38: 7276 #END {"page":7,"byte":1189,"count":301469}
3:01:38: 10816 #END {"page":19,"byte":1120,"count":89609}
3:01:38: 11616 #END {"page":25,"byte":1052,"count":61793}
3:01:38: 3876 #END {"page":6,"byte":1188,"count":362101}
3:01:38: 7280 #END {"page":20,"byte":1079,"count":83632}
3:01:38: 11564 #END {"page":23,"byte":1076,"count":68909}
3:01:38: 11632 #END {"page":32,"byte":1095,"count":44013}
3:01:38: 11652 #END {"page":36,"byte":1042,"count":37185}
3:01:38: 11452 #END {"page":29,"byte":1097,"count":50532}
3:01:38: 11636 #END {"page":33,"byte":1097,"count":42148}
3:01:38: 11644 #END {"page":34,"byte":1124,"count":40236}
3:01:38: 11664 #END {"page":39,"byte":1078,"count":32792}
3:01:38: 11668 #END {"page":40,"byte":1017,"count":31487}
3:01:38: 11608 #END {"page":27,"byte":1117,"count":55561}
3:01:38: 11628 #END {"page":31,"byte":1076,"count":46133}
3:01:38: 11624 #END {"page":30,"byte":1111,"count":48265}
3:01:38: 11568 #END {"page":28,"byte":1076,"count":52851}
3:01:38: 11656 #END {"page":37,"byte":1068,"count":35590}
3:01:38: 11688 #END {"page":45,"byte":1062,"count":26060}
3:01:38: 11680 #END {"page":43,"byte":1081,"count":28013}
3:01:38: 11672 #END {"page":41,"byte":1086,"count":30320}
3:01:38: 11724 #END {"page":54,"byte":1060,"count":19900}
3:01:38: 11716 #END {"page":52,"byte":1069,"count":21079}
3:01:38: 11732 #END {"page":56,"byte":1038,"count":18748}
3:01:38: 11692 #END {"page":46,"byte":1033,"count":25230}
3:01:38: 11696 #END {"page":47,"byte":1098,"count":24469}
3:01:38: 11728 #END {"page":55,"byte":1003,"count":19353}
3:01:38: 11648 #END {"page":35,"byte":1105,"count":38651}
3:01:38: 11660 #END {"page":38,"byte":1075,"count":34037}
3:01:38: 11700 #END {"page":48,"byte":1059,"count":23725}
3:01:39: 11720 #END {"page":53,"byte":1028,"count":20463}
3:01:39: 11704 #END {"page":49,"byte":1006,"count":22966}
3:01:39: 11712 #END {"page":50,"byte":988,"count":22369}
3:01:39: 11676 #END {"page":42,"byte":1113,"count":29144}
3:01:39: 11748 #END {"page":60,"byte":1054,"count":17002}
3:01:39: 11684 #END {"page":44,"byte":1041,"count":26999}
3:01:39: 11756 #END {"page":62,"byte":1024,"count":16165}
3:01:39: 11760 #END {"page":63,"byte":1036,"count":15814}
3:01:39: 11740 #END {"page":58,"byte":1075,"count":17833}
3:01:39: 11736 #END {"page":57,"byte":1064,"count":18293}
3:01:39: 11752 #END {"page":61,"byte":1077,"count":16607}
3:01:39: 11708 #END {"page":51,"byte":1045,"count":21668}
3:01:39: 11768 #END {"page":65,"byte":1041,"count":15021}
3:01:39: 11764 #END {"page":64,"byte":1063,"count":15405}
3:01:39: 11744 #END {"page":59,"byte":1052,"count":17394}
3:01:39: 11800 #END {"page":73,"byte":1025,"count":12361}
3:01:39: 11792 #END {"page":71,"byte":1053,"count":13051}
3:01:39: 11796 #END {"page":72,"byte":1092,"count":12721}
3:01:39: 11784 #END {"page":69,"byte":1031,"count":13677}
3:01:39: 11780 #END {"page":68,"byte":1019,"count":13967}
3:01:39: 11772 #END {"page":66,"byte":1068,"count":14644}
3:01:39: 11816 #END {"page":77,"byte":1045,"count":11185}
3:01:39: 11804 #END {"page":74,"byte":1062,"count":12071}
3:01:39: 11824 #END {"page":79,"byte":1047,"count":10719}
3:01:39: 11820 #END {"page":78,"byte":1035,"count":10940}
3:01:39: 11788 #END {"page":70,"byte":987,"count":13354}
3:01:39: 11776 #END {"page":67,"byte":1036,"count":14278}
3:01:39: 11828 #END {"page":80,"byte":1013,"count":10519}
3:01:39: 11832 #END {"page":81,"byte":1052,"count":10318}
3:01:39: 11812 #END {"page":76,"byte":991,"count":11465}
3:01:39: 11808 #END {"page":75,"byte":1043,"count":11769}
3:01:39: 11860 #END {"page":88,"byte":1018,"count":8991}
3:01:39: 11852 #END {"page":86,"byte":971,"count":9362}
3:01:39: 11868 #END {"page":90,"byte":1006,"count":8641}
3:01:39: 11840 #END {"page":83,"byte":1026,"count":9922}
3:01:39: 11872 #END {"page":91,"byte":980,"count":8464}
3:01:39: 11892 #END {"page":96,"byte":936,"count":7727}
3:01:39: 11836 #END {"page":82,"byte":1052,"count":10117}
3:01:39: 11844 #END {"page":84,"byte":973,"count":9739}
3:01:39: 11864 #END {"page":89,"byte":1033,"count":8821}
3:01:39: 11856 #END {"page":87,"byte":994,"count":9169}
3:01:39: 11848 #END {"page":85,"byte":1040,"count":9544}
3:01:39: 11896 #END {"page":97,"byte":988,"count":7562}
3:01:39: 11876 #END {"page":92,"byte":1003,"count":8294}
3:01:39: 11888 #END {"page":95,"byte":995,"count":7860}
3:01:39: 11880 #END {"page":93,"byte":1052,"count":8143}
3:01:39: 11900 #END {"page":98,"byte":977,"count":7418}
3:01:39: 11904 #END {"page":99,"byte":999,"count":7270}
3:01:39: 11884 #END {"page":94,"byte":931,"count":8002}
3:01:39: 11908 #END {"page":100,"byte":977,"count":7144}
Found 14,075,927 in 100 pages
Finished 1.489 sec
拍摄时间
Found 14,075,927 in 100 pages
Finished 1.489 sec
使用的课程
class Process extends Thread {
public function __construct($storage, $page) {
$this->storage = $storage;
$this->page = $page;
// $this->start();
}
public function run() {
$format = "%s: %1u %s\t%s\n";
$formatTime = "g:i:s";
$sleep = mt_rand(0, 1); // Just for Demo
printf($format, date($formatTime), $this->getThreadId(), "#START", "{\"page\":$this->page}");
// Do something useful
$data = file_get_contents(sprintf("http://api.stackoverflow.com/1.1/tags?pagesize=100&page=%s", $this->page));
// Decode the Data from API
$json = json_decode(gzdecode($data));
// Lets Build A profile
$profile = array();
$profile['page'] = $this->page;
$profile['byte'] = strlen($data);
// Do more work
$profile['count'] = array_sum(array_map(function ($v) {
return $v->count;
}, $json->tags));
$this->storage->total = bcadd($this->storage->total, $profile['count']);
// Print Information
printf($format, date($formatTime), $this->getThreadId(), "#END\t", json_encode($profile));
}
}
class Storage extends Stackable {
public $total = 0;
public function run() {
}
}
<强>结论
file_get_contents只是100 pages刚刚与我的蹩脚连接获得1.489 sec。 Yes它做到了。在我的实时服务器上测试了相同的代码，我只花了0.939 sec来获取200页。
您的应用程序可以在很多方面更快，您只需在正确的位置使用正确的技术。