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这篇“swoole HTTP服务器中异步MySQL的示例分析”除了程序员外大部分人都不太理解，今天小编为了让大家更加理解“swoole HTTP服务器中异步MySQL的示例分析”，给大家总结了以下内容，具有一定借鉴价值，内容详细步骤清晰，细节处理妥当，希望大家通过这篇文章有所收获，下面让我们一起来看看具体内容吧。
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直接上代码：
on('request', function($request, $response){
$swoole_mysql1 = new Swoole\Coroutine\MySQL(); $swoole_mysql2 = new Swoole\Coroutine\MySQL(); $swoole_mysql1->connect([ 'host' => '127.0.0.1', 'port' => 3306, 'user' => 'root', 'password' => 'root', 'database' => 'swoole',
]); $swoole_mysql2->connect([ 'host' => '127.0.0.1', 'port' => 3306, 'user' => 'root', 'password' => 'root', 'database' => 'swoole',
]); $res1 = $swoole_mysql1->query('SELECT * FROM data1'); $res2 = $swoole_mysql2->query('SELECT * FROM data2'); $response->header("Content-Type", "text/html; charset=utf-8"); $response->end("Hello Swoole. #".count($res1).count($res2)."
");
});$http->start();使用浏览器访问。http://ip:9501
异步MySQL可以不需要等待第一条查询完成后再执行第二条，在访问不同服务器，不同数据库，不同的表时效果比较明显。
对比同步MySQL查询代码：
on('request', function($request, $response){ $swoole_mysql1 = mysqli_connect('127.0.0.1', 'root', 'root', 'swoole', 3306); $swoole_mysql2 = mysqli_connect('127.0.0.1', 'root', 'root', 'swoole', 3306); $res1 = $swoole_mysql1->query('SELECT * FROM data1'); $res2 = $swoole_mysql2->query('SELECT * FROM data2'); $response->header("Content-Type", "text/html; charset=utf-8"); $response->end("Hello Swoole. #".$res1->num_rows.$res2->num_rows."
");
});$http->start();同步代码使用PHP原生方式查询数据。
放上两种查询方式的使用ab进行的性能测试：
ab -c 100 -n 1000 http://127.0.0.1:9501/
异步查询：
Server Software: swoole-http-server Server Hostname: 127.0.0.1Server Port: 9501Document Path: / Document Length: 30 bytesConcurrency Level: 100Time taken for tests: 1.477 secondsComplete requests: 1000Failed requests: 0Write errors: 0Total transferred: 193000 bytesHTML transferred: 30000 bytesRequests per second: 676.82 [#/sec] (mean)Time per request: 147.749 [ms] (mean) Time per request: 1.477 [ms] (mean, across all concurrent requests) Transfer rate: 127.57 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median maxConnect: 0 1 1.8 0 7Processing: 4 140 24.0 145 156Waiting: 0 140 24.1 145 156Total: 7 140 22.6 145 160Percentage of the requests served within a certain time (ms) 50% 145 66% 146 75% 148 80% 148 90% 150 95% 152 98% 153 99% 154 100% 160 (longest request)
同步查询：
Server Software: swoole-http-server Server Hostname: 127.0.0.1Server Port: 9501Document Path: / Document Length: 30 bytesConcurrency Level: 100Time taken for tests: 2.765 secondsComplete requests: 1000Failed requests: 0Write errors: 0Total transferred: 193000 bytesHTML transferred: 30000 bytesRequests per second: 361.67 [#/sec] (mean)Time per request: 276.493 [ms] (mean) Time per request: 2.765 [ms] (mean, across all concurrent requests) Transfer rate: 68.17 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median maxConnect: 0 0 0.4 0 2Processing: 4 262 48.5 272 295Waiting: 4 262 48.5 272 295Total: 6 262 48.2 272 295Percentage of the requests served within a certain time (ms) 50% 272 66% 278 75% 281 80% 284 90% 287 95% 291 98% 293 99% 294 100% 295 (longest request)
感谢你的阅读，希望你对“swoole HTTP服务器中异步MySQL的示例分析”这一关键问题有了一定的理解，具体使用情况还需要大家自己动手实验使用过才能领会，快去试试吧，如果想阅读更多相关知识点的文章，欢迎关注创新互联行业资讯频道！
