tomcat
Tomcat包含Connector和Processor，其中Connector负责连接的建立，Processor则处理请求。
Connector和Servlet容器是一对一的关系。
BootStrap
BootStrap是Tomcat的启动类，在static代码块中，执行了类的加载过程，包括common，server和shared库。同时在它的main方法中加载org.apache.catalina.startup.Catalina，根据执行脚本的不同，调用这个类的start，stop等方法。
Catalina
/**
* Start a new server instance.
*/
public void start() {
if (getServer() == null) {
load();
}
if (getServer() == null) {
log.fatal("Cannot start server. Server instance is not configured.");
return;
}
long t1 = System.nanoTime();
// Start the new server
try {
getServer().start();
} catch (LifecycleException e) {
log.fatal(sm.getString("catalina.serverStartFail"), e);
try {
getServer().destroy();
} catch (LifecycleException e1) {
log.debug("destroy() failed for failed Server ", e1);
}
return;
}
long t2 = System.nanoTime();
if(log.isInfoEnabled()) {
log.info("Server startup in " + ((t2 - t1) / 1000000) + " ms");
}
// Register shutdown hook
if (useShutdownHook) {
if (shutdownHook == null) {
shutdownHook = new CatalinaShutdownHook();
}
Runtime.getRuntime().addShutdownHook(shutdownHook);
// If JULI is being used, disable JULI's shutdown hook since
// shutdown hooks run in parallel and log messages may be lost
// if JULI's hook completes before the CatalinaShutdownHook()
LogManager logManager = LogManager.getLogManager();
if (logManager instanceof ClassLoaderLogManager) {
((ClassLoaderLogManager) logManager).setUseShutdownHook(
false);
}
}
if (await) {
await();
stop();
}
}
其中的Server继承自Lifecycle，Lifecycle负责所有组件生命周期的管理。server的加载在createStartDigester()中，这里通过Tomcat的配置文件server.xml实现。这里加载的默认的server是org.apache.catalina.Server，Server类中有一个Service数组：private Service services[]，是当前server绑定的所有的Service，每个Service实例中包含一个Engine engine对象。
Connector
Connector的构造方法中，根据传入协议的不同，加载了协议处理类，对protected final ProtocolHandler protocolHandler对象做了初始化。
在Connector的启动方法中调用了endpoint.start();方法，以下是AbstractEndpoint的子类NioEndpoint的startInternal()实现。
/**
* Start the NIO endpoint, creating acceptor, poller threads.
*/
@Override
public void startInternal() throws Exception {
if (!running) {
running = true;
paused = false;
processorCache = new SynchronizedStack<>(SynchronizedStack.DEFAULT_SIZE,
socketProperties.getProcessorCache());
eventCache = new SynchronizedStack<>(SynchronizedStack.DEFAULT_SIZE,
socketProperties.getEventCache());
nioChannels = new SynchronizedStack<>(SynchronizedStack.DEFAULT_SIZE,
socketProperties.getBufferPool());
// Create worker collection
if ( getExecutor() == null ) {
createExecutor();
}
initializeConnectionLatch();
// Start poller threads
pollers = new Poller[getPollerThreadCount()];
for (int i=0; i<pollers.length; i++) {
pollers[i] = new Poller();
Thread pollerThread = new Thread(pollers[i], getName() + "-ClientPoller-"+i);
pollerThread.setPriority(threadPriority);
pollerThread.setDaemon(true);
pollerThread.start();
}
startAcceptorThreads();
}
}
Adapter
Adapter代表一个servlet容器的入口，当一个web请求到来时，调用它的service()方法。
@Override
public void service(org.apache.coyote.Request req, org.apache.coyote.Response res)
throws Exception {
Request request = (Request) req.getNote(ADAPTER_NOTES);
Response response = (Response) res.getNote(ADAPTER_NOTES);
if (request == null) {
// Create objects
request = connector.createRequest();
request.setCoyoteRequest(req);
response = connector.createResponse();
response.setCoyoteResponse(res);
// Link objects
request.setResponse(response);
response.setRequest(request);
// Set as notes
req.setNote(ADAPTER_NOTES, request);
res.setNote(ADAPTER_NOTES, response);
// Set query string encoding
req.getParameters().setQueryStringCharset(connector.getURICharset());
}
if (connector.getXpoweredBy()) {
response.addHeader("X-Powered-By", POWERED_BY);
}
boolean async = false;
boolean postParseSuccess = false;
req.getRequestProcessor().setWorkerThreadName(THREAD_NAME.get());
try {
// Parse and set Catalina and configuration specific
// request parameters
postParseSuccess = postParseRequest(req, request, res, response);
if (postParseSuccess) {
//check valves if we support async
request.setAsyncSupported(
connector.getService().getContainer().getPipeline().isAsyncSupported());
// Calling the container
connector.getService().getContainer().getPipeline().getFirst().invoke(
request, response);
}
if (request.isAsync()) {
async = true;
ReadListener readListener = req.getReadListener();
if (readListener != null && request.isFinished()) {
// Possible the all data may have been read during service()
// method so this needs to be checked here
ClassLoader oldCL = null;
try {
oldCL = request.getContext().bind(false, null);
if (req.sendAllDataReadEvent()) {
req.getReadListener().onAllDataRead();
}
} finally {
request.getContext().unbind(false, oldCL);
}
}
Throwable throwable =
(Throwable) request.getAttribute(RequestDispatcher.ERROR_EXCEPTION);
// If an async request was started, is not going to end once
// this container thread finishes and an error occurred, trigger
// the async error process
if (!request.isAsyncCompleting() && throwable != null) {
request.getAsyncContextInternal().setErrorState(throwable, true);
}
} else {
request.finishRequest();
response.finishResponse();
}
} catch (IOException e) {
// Ignore
} finally {
AtomicBoolean error = new AtomicBoolean(false);
res.action(ActionCode.IS_ERROR, error);
if (request.isAsyncCompleting() && error.get()) {
// Connection will be forcibly closed which will prevent
// completion happening at the usual point. Need to trigger
// call to onComplete() here.
res.action(ActionCode.ASYNC_POST_PROCESS, null);
async = false;
}
// Access log
if (!async && postParseSuccess) {
// Log only if processing was invoked.
// If postParseRequest() failed, it has already logged it.
Context context = request.getContext();
Host host = request.getHost();
// If the context is null, it is likely that the endpoint was
// shutdown, this connection closed and the request recycled in
// a different thread. That thread will have updated the access
// log so it is OK not to update the access log here in that
// case.
// The other possibility is that an error occurred early in
// processing and the request could not be mapped to a Context.
// Log via the host or engine in that case.
long time = System.currentTimeMillis() - req.getStartTime();
if (context != null) {
context.logAccess(request, response, time, false);
} else if (response.isError()) {
if (host != null) {
host.logAccess(request, response, time, false);
} else {
connector.getService().getContainer().logAccess(
request, response, time, false);
}
}
}
req.getRequestProcessor().setWorkerThreadName(null);
// Recycle the wrapper request and response
if (!async) {
updateWrapperErrorCount(request, response);
request.recycle();
response.recycle();
}
}
}
以上完成了：
- 组装Request
- 组装Respon
- 获取connector的容器中的pipeline，依次处理。这里使用了责任链模式。pipeline中包含了一个Valve实例，。pipline可以看作一个链表结构，其中的Valve是节点，通过Valve可以获取到下一个处理请求的Valve实例。
所以一个完整的调用过程就是：
AbstractProtocol：public SocketState process(SocketWrapperBase<S> wrapper, SocketEvent status)
|
Processor：SocketState process(SocketWrapperBase<?> socketWrapper, SocketEvent status) throws IOException
|
Processor：protected abstract SocketState service(SocketWrapperBase<?> socketWrapper) throws IOException
|
Adapter：public void service(Request req, Response res) throws Exception