qjs
优质
小牛编辑
137浏览
2023-12-01
但是，自mongols-1.8.0开始，提供一个基于quickjs引擎的新的javascript服务器。性能较之以前，有较大提升。
来看例子：
#include <mongols/qjs_server.hpp>
#include <mongols/util.hpp>
int main(int, char**)
{
int port = 9090;
const char* host = "127.0.0.1";
mongols::qjs_server
server(host, port, 5000, 8192, 0);
server.set_root_path("html/qjs");
server.set_enable_bootstrap(true);
server.set_enable_lru_cache(false);
server.set_lru_cache_expires(1);
// if (!server.set_openssl("openssl/localhost.crt", "openssl/localhost.key")) {
// return -1;
// }
// server.set_shutdown([&]() {
// std::cout << "process " << getpid() << " exit.\n";
// });
// server.run();
std::function<void(pthread_mutex_t*, size_t*)> ff = [&](pthread_mutex_t* mtx, size_t* data) {
server.set_shutdown([&]() {
std::cout << "process " << getpid() << " exit.\n";
});
server.run();
};
std::function<bool(int)> g = [&](int status) {
return false;
};
mongols::multi_process main_process;
main_process.run(ff, g);
}
import * as std from "std";
import * as os from "os";
import * as bjson from "bjson";
import * as mongols from "mongols";
mongols.status(200);
mongols.header('Content-Type', 'text/plain');
mongols.content("hello,world\n");
优化
qjs_server通过三个静态变量调整服务器工作状态。
qjs_server::memory_limit
默认值是1GB。它负责配置quickjs运行时能够使用的最大内存量。因为每一工作进程配有一个运行时，所以配置此值时需要考虑机器的硬件约束。通常默认值即可。
qjs_server::stack_limit
默认值是8MB。它负责配置quickjs运行时能够使用的最大stack量。因为每一工作进程配有一个运行时，所以配置此值时需要考虑机器的硬件约束。通常默认值即可。
qjs_server::ctx_called_limit
默认值是10240。它负责配置每一quickjs运行时上下文被使用的次数。值过小会导致效率下降，值过大则可能导致内存使用上升。通常默认值即可。配置时，需与qjs_server::memory_limit协调。
开启lru缓存机制
调用set_enable_lru_cache方法，参数为true即可。此法甚妙。1秒的过期时间，即可令服务器功力大增。
api
request
- uri
- method
- client
- param
- user_agent
- has_header
- get_header
- has_form
- get_form
- has_session
- get_session
- has_cookie
- get_cookie
- has_cache
- get_cache
response
- status
- content
- header
- session
- cache
模块
quickjs原版内置三个模块：std、os和bjson，并且启用了数学扩展。我为其添加了三个内置模块：hash、crypto和mongols。qjs_server建立在mongols模块之上。hash模块提供md5、sha1、sha256和sha512计算，crypto模块提供AES加密服务。
路由
qjs_server提供一个默认的路由器。使用方法如下：
import * as mongols from "mongols";
import { crypto } from "crypto";
import route from "./lib/route.mjs"
var r = route.get_instance();
r.get('^/$', function (m, param) {
m.status(200);
m.header('Content-Type', 'text/plain;charset=utf-8');
m.content('hello,world\n');
});
r.get('^/(.*)/?$', function (m, param) {
m.header('Content-Type', 'text/plain;charset=UTF8')
m.content(m.method() + '\n' + m.uri() + '\n' + param.toString())
m.status(200)
});
var route_test = function (m) {
r.run(m)
};
export default route_test;
路由器支持各种HTTP方法，具体可参考example/html/qjs/test/lib/route.mjs。
如果有更好的路由器实现，欢迎替换。
压力测试比较
同样开4个工作进程，比较于nodejs(v13)下的fastify框架，qjs_server能够在每工作进程内存消耗仅仅十分之一的优势下，获得近两倍吞吐率：
const cluster = require('cluster');
const numCPUs = require('os').cpus().length;
// Require the framework and instantiate it
const fastify = require('fastify')({ logger: false })
if (cluster.isMaster) {
console.log(`Master ${process.pid} is running`);
// Fork workers.
for (let i = 0; i < numCPUs; i++) {
cluster.fork();
}
} else {
// Declare a route
fastify.get('/', async (request, reply) => {
reply.header('Content-Type', 'text/plain;charset=utf-8')
return 'hello,world\n';
})
// Run the server!
const start = async () => {
try {
await fastify.listen(3000)
fastify.log.info(`server listening on ${fastify.server.address().port}`)
} catch (err) {
fastify.log.error(err)
}
}
start()
}
apib -c30000 -t4 -d30 http://localhost:3000/
(5 / 30) 5311.890 93% cpu
(10 / 30) 35488.653 100% cpu
(15 / 30) 39301.124 99% cpu
(20 / 30) 38975.863 100% cpu
(25 / 30) 40288.632 99% cpu
(30 / 30) 39911.255 100% cpu
Duration: 30.024 seconds
Attempted requests: 997245
Successful requests: 997245
Non-200 results: 0
Connections opened: 29996
Socket errors: 0
Throughput: 33214.740 requests/second
Average latency: 596.694 milliseconds
Minimum latency: 281.847 milliseconds
Maximum latency: 27382.753 milliseconds
Latency std. dev: 488.977 milliseconds
50% latency: 526.840 milliseconds
90% latency: 730.986 milliseconds
98% latency: 1915.567 milliseconds
99% latency: 3387.646 milliseconds
Client CPU average: 99%
Client CPU max: 100%
Client memory usage: 83%
Total bytes sent: 60.74 megabytes
Total bytes received: 144.56 megabytes
Send bandwidth: 16.18 megabits / second
Receive bandwidth: 38.52 megabits / second
apib -c30000 -t4 -d30 http://localhost:9090/
(5 / 30) 45417.124 95% cpu
(10 / 30) 63895.888 100% cpu
(15 / 30) 64130.772 100% cpu
(20 / 30) 64421.669 100% cpu
(25 / 30) 58932.007 100% cpu
(30 / 30) 64635.808 100% cpu
Duration: 30.024 seconds
Attempted requests: 1808772
Successful requests: 1808772
Non-200 results: 0
Connections opened: 29998
Socket errors: 0
Throughput: 60243.352 requests/second
Average latency: 483.053 milliseconds
Minimum latency: 150.099 milliseconds
Maximum latency: 2049.196 milliseconds
Latency std. dev: 131.720 milliseconds
50% latency: 469.488 milliseconds
90% latency: 574.891 milliseconds
98% latency: 804.549 milliseconds
99% latency: 1042.740 milliseconds
Client CPU average: 99%
Client CPU max: 100%
Client memory usage: 74%
Total bytes sent: 108.72 megabytes
Total bytes received: 238.05 megabytes
Send bandwidth: 28.97 megabits / second
Receive bandwidth: 63.43 megabits / second
所以不要轻易说quickjs不够快！