SwooleはPHP-fpm/apacheでタスク関数を使用します

<?php
use Swoole\Redis\Server;
$server = new Server("127.0.0.1", 9501, SWOOLE_PROCESS );
$server->set(array(
    &#39;task_worker_num&#39; => 32,
    &#39;worker_num&#39; => 1,
    &#39;task_enable_coroutine&#39; => true,
    &#39;heartbeat_check_interval&#39; => 5,
    &#39;heartbeat_idle_time&#39; => 10,
));
$server->setHandler(&#39;LPUSH&#39;, function ($fd, $data) use ($server) {
    $taskId = $server->task($data);
    if ($taskId === false) {
        $server->send($fd, Server::format(Server::ERROR));
    } else {
        $server->send($fd, Server::format(Server::INT, $taskId));
    }
});
$server->on(&#39;Finish&#39;, function($serv, $taskID, $data) {
    $stats = $serv->stats();
    if ($stats[&#39;tasking_num&#39;] > 10) { //tasking_num 当前正在排队的任务数
        echo "剩余任务信息：" . json_encode($serv->stats()) . "\n";
    }
});
$server->on(&#39;Task&#39;, function ($serv, $data) {
    go(function () {
        usleep(50000);
    });
    var_dump($data);
});
$server->start();

<?php
$redis = new Redis;
$redis->connect(&#39;127.0.0.1&#39;, 9501);
$x=1; 
while($x <= 1000) {
  $redis->lpush("myqueue", json_encode(array("hello".$x, "swoole")));
  $x++;
}