1. 概述
本文将介绍Jetty库的使用。Jetty提供了一个可嵌入式运行的Web服务器,能轻松集成javax.servlet库。这种设计特别适合需要轻量级HTTP服务的场景,比如微服务集成或单元测试。
2. Maven依赖
启动项目前,先添加两个核心依赖:
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-server</artifactId>
<version>9.4.3.v20170317</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-servlet</artifactId>
<version>9.4.3.v20170317</version>
</dependency>
⚠️ 版本号需保持一致,避免兼容性问题。
3. 启动带Servlet的Jetty服务器
启动Jetty容器非常简单粗暴,只需三步:
- 创建
Server
实例 - 配置端口监听
- 注册Servlet
public class JettyServer {
private Server server;
public void start() throws Exception {
server = new Server();
ServerConnector connector = new ServerConnector(server);
connector.setPort(8090); // 设置监听端口
server.setConnectors(new Connector[] {connector});
}
}
假设我们要创建一个返回JSON的/status
接口:
public class BlockingServlet extends HttpServlet {
protected void doGet(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
response.setContentType("application/json");
response.setStatus(HttpServletResponse.SC_OK);
response.getWriter().println("{ \"status\": \"ok\"}");
}
}
注册Servlet并启动服务器:
servletHandler.addServletWithMapping(BlockingServlet.class, "/status");
server.start();
✅ 测试用例启动服务器:
@Before
public void setup() throws Exception {
jettyServer = new JettyServer();
jettyServer.start();
}
发送HTTP请求验证:
String url = "http://localhost:8090/status";
HttpClient client = HttpClientBuilder.create().build();
HttpGet request = new HttpGet(url);
HttpResponse response = client.execute(request);
assertThat(response.getStatusLine().getStatusCode()).isEqualTo(200);
4. 非阻塞式Servlet
Jetty对异步请求处理支持很到位。当遇到耗时I/O操作时(比如读取大文件),阻塞线程会降低吞吐量。这时可以用AsyncContext
实现非阻塞处理:
public class AsyncServlet extends HttpServlet {
private static String HEAVY_RESOURCE
= "This is some heavy resource that will be served in an async way";
protected void doGet(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
ByteBuffer content = ByteBuffer.wrap(
HEAVY_RESOURCE.getBytes(StandardCharsets.UTF_8));
AsyncContext async = request.startAsync();
ServletOutputStream out = response.getOutputStream();
out.setWriteListener(new WriteListener() {
@Override
public void onWritePossible() throws IOException {
while (out.isReady()) {
if (!content.hasRemaining()) {
response.setStatus(200);
async.complete(); // 数据写完通知完成
return;
}
out.write(content.get());
}
}
@Override
public void onError(Throwable t) {
getServletContext().log("Async Error", t);
async.complete();
}
});
}
}
注册异步Servlet:
servletHandler.addServletWithMapping(AsyncServlet.class, "/heavy/async");
测试异步接口:
String url = "http://localhost:8090/heavy/async";
HttpClient client = HttpClientBuilder.create().build();
HttpGet request = new HttpGet(url);
HttpResponse response = client.execute(request);
assertThat(response.getStatusLine().getStatusCode()).isEqualTo(200);
String responseContent = IOUtils.toString(
response.getEntity().getContent(), StandardCharsets.UTF_8);
assertThat(responseContent).isEqualTo(
"This is some heavy resource that will be served in an async way");
⚠️ 使用异步处理时,必须配置线程池(见下一节),否则性能可能更差。
5. Jetty配置优化
生产环境需要调整线程池参数,关键配置项:
参数 | 说明 | 推荐值 |
---|---|---|
maxThreads |
最大线程数 | CPU核心数×8 |
minThreads |
初始线程数 | 8-16 |
idleTimeout |
线程空闲超时时间(毫秒) | 60000 |
代码配置示例:
int maxThreads = 100;
int minThreads = 10;
int idleTimeout = 120;
QueuedThreadPool threadPool = new QueuedThreadPool(maxThreads, minThreads, idleTimeout);
server = new Server(threadPool); // 应用线程池
踩坑经验:minThreads
不要设得太高,启动时创建过多线程反而拖慢性能。
6. 总结
Jetty作为嵌入式服务器具有: ✅ 轻量级(启动快、内存占用小) ✅ 灵活(支持同步/异步处理) ✅ 易集成(Maven依赖即可)
完整代码可在GitHub获取。