>提供一些静态文件(HTML / CSS /图像资源等)
>查询数据库(仅选择并插入,不更新或删除)

但是,我遇到了一些性能问题,我试图找出问题所在.为了隔离问题,我创建了一个最小的NodeJS应用程序,它运行对MysqL的查询,并以JSON的形式返回50行数据.以下是我的代码：

var express = require('express');
var compression = require('compression');
var MysqL = require('MysqL');

var db = MysqL.createPool({
    host: <host>,user: <user>,password: <password>,database: <database>,debug: false
});

var app = express();
app.use(compression());

app.get('/data',function(req,res) {
    var sql = 'SELECT column_1,column_2 FROM table';
    db.query(sql,function (error,rows,fields) {
        if (error) throw error;
        res.json(rows);
    });
});

app.listen(3000,function () {
  console.log("Running on port 3000.");
});

通过使用ApacheBench在并发级别为1的1000个请求(为了不影响单线程节点应用程序),结果如下：

Concurrency Level:      1
Time taken for tests:   10.377 seconds
Complete requests:      1000
Failed requests:        0
Total transferred:      3057000 bytes
HTML transferred:       2829000 bytes
Requests per second:    96.37 [#/sec] (mean)
Time per request:       10.377 [ms] (mean)
Time per request:       10.377 [ms] (mean,across all concurrent requests)
Transfer rate:          287.69 [Kbytes/sec] received

作为比较,下面是我的PHP代码：

<?PHP

    $hostname = <host>;
    $username = <user>;
    $password = <password>;
    $database = <database>;

    try {
        $db_handler = new PDO('MysqL:host=' . $hostname . ';dbname=' . $database,$username,$password);
    } catch (PDOException $e) {
        throw new Exception('[ERROR] Unable to connect to the database.');
    }

    $sql = 'SELECT column_1,column_2 FROM table';
    $statement = $db_handler->prepare($sql,array(PDO::ATTR_CURSOR => PDO::CURSOR_FWDONLY));
    $statement->execute();
    $rows = array();
    while ($row = $statement->fetch(PDO::FETCH_ASSOC)){
        $rows[] = $row;
    }
    print json_encode($rows);

    $db_handler = null;

?>

而ApacheBench的结果：

Concurrency Level:      1
Time taken for tests:   6.726 seconds
Complete requests:      1000
Failed requests:        0
Total transferred:      3023000 bytes
HTML transferred:       2829000 bytes
Requests per second:    148.68 [#/sec] (mean)
Time per request:       6.726 [ms] (mean)
Time per request:       6.726 [ms] (mean,across all concurrent requests)
Transfer rate:          438.92 [Kbytes/sec] received

从上述结果可以看出,PHP比NodeJS快得多.如果触发更复杂的查询(差异可能是20次,如20ms对400ms),或者并发级别增加,则差异更大.

我已经尝试添加最多4名工作人员(我正在运行Raspberry Pi 2的服务器,它有4个核心)到Node应用程序,看看它是否有帮助,不幸的是它仍然不接近PHP的结果.你能告诉我可能做错了什么吗？或者NodeJS只是不是我想要实现的好选择？

[EDITED]

非常感谢您的意见.似乎大多数人怀疑这个问题是由NodeJS MysqL驱动造成的.我也做了一些更多的测试,以确定是否如此,我不小心发现一些非常有趣的东西.

通过在另一台PC(Core 2 Duo E7200)上运行相同的Node应用程序,但是在Raspberry Pi上连接到同一个MysqL,结果其实是相当不错的：

Concurrency Level:      1
Time taken for tests:   2.705 seconds
Complete requests:      1000
Failed requests:        0
Total transferred:      3057000 bytes
HTML transferred:       2829000 bytes
Requests per second:    369.71 [#/sec] (mean)
Time per request:       2.705 [ms] (mean)
Time per request:       2.705 [ms] (mean,across all concurrent requests)
Transfer rate:          1103.72 [Kbytes/sec] received

作为比较,我还在该PC上运行Apache服务器,连接到Raspberry Pi上的同一个MysqL,结果如下：

Concurrency Level:      1
Time taken for tests:   6.297 seconds
Complete requests:      1000
Failed requests:        0
Total transferred:      3034000 bytes
HTML transferred:       2829000 bytes
Requests per second:    158.80 [#/sec] (mean)
Time per request:       6.297 [ms] (mean)
Time per request:       6.297 [ms] (mean,across all concurrent requests)
Transfer rate:          470.50 [Kbytes/sec] received

作为总结,下面是我到目前为止的结果.只有Web服务器部分是不同的,而数据库总是MysqL在Raspberry Pi上：

Server      Time Taken
Node (Pi)   10.337s
PHP (Pi)    6.726s
Node (PC)   2.705s
PHP (PC)    6.297s

PHP的结果似乎在两个服务器上或多或少相同,而NodeJS的结果变化很大.基于上面的结果,在我看来,NodeJS对cpu性能更敏感,或者说另一个字是cpu密集型？ (我正在使用的NodeJS版本是v6.9.4,只是FYI)