Spring Cloud 请求重试机制核心代码分析
场景
发布微服务的操作一般都是打完新代码的包，kill掉在跑的应用，替换新的包，启动。
spring cloud 中使用eureka为注册中心，它是允许服务列表数据的延迟性的，就是说即使应用已经不在服务列表了，客户端在一段时间内依然会请求这个地址。那么就会出现请求正在发布的地址，而导致失败。
我们会优化服务列表的刷新时间，以提高服务列表信息的时效性。但是无论怎样，都无法避免有那么一段时间是数据不一致的。
所以我们想到一个办法就是重试机制，当a机子在重启时，同个集群的b是可以正常提供服务的，如果有重试机制就可以在上面这个场景里进行重试到b而不影响正确响应。
操作
需要进行如下的操作：
ribbon:
ReadTimeout: 10000
ConnectTimeout: 10000
MaxAutoRetries: 0
MaxAutoRetriesNextServer: 1
OkToRetryOnAllOperations: false
引入spring-retry包
<dependency>
<groupId>org.springframework.retry</groupId>
<artifactId>spring-retry</artifactId>
</dependency>
以zuul为例子还需要配置开启重试：
zuul.retryable=true
遇到了问题
然而万事总没那么一帆风顺，通过测试重试机制生效了，但是并没有我想象的去请求另一台健康的机子，于是被迫去吧开源码看一看，最终发现是源码的bug，不过已经修复，升级版本即可。
代码分析
使用的版本是
spring-cloud-netflix-core:1.3.6.RELEASE
spring-retry:1.2.1.RELEASE
spring cloud 依赖版本：
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-dependencies</artifactId>
<version>${spring-cloud.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
因为启用了重试，所以请求应用时会执行RetryableRibbonLoadBalancingHttpClient.execute方法：
public RibbonApacheHttpResponse execute(final RibbonApacheHttpRequest request, final IClientConfig configOverride) throws Exception {
final RequestConfig.Builder builder = RequestConfig.custom();
IClientConfig config = configOverride != null ? configOverride : this.config;
builder.setConnectTimeout(config.get(
CommonClientConfigKey.ConnectTimeout, this.connectTimeout));
builder.setSocketTimeout(config.get(
CommonClientConfigKey.ReadTimeout, this.readTimeout));
builder.setRedirectsEnabled(config.get(
CommonClientConfigKey.FollowRedirects, this.followRedirects));
final RequestConfig requestConfig = builder.build();
final LoadBalancedRetryPolicy retryPolicy = loadBalancedRetryPolicyFactory.create(this.getClientName(), this);
RetryCallback retryCallback = new RetryCallback() {
@Override
public RibbonApacheHttpResponse doWithRetry(RetryContext context) throws Exception {
//on retries the policy will choose the server and set it in the context
//extract the server and update the request being made
RibbonApacheHttpRequest newRequest = request;
if(context instanceof LoadBalancedRetryContext) {
ServiceInstance service = ((LoadBalancedRetryContext)context).getServiceInstance();
if(service != null) {
//Reconstruct the request URI using the host and port set in the retry context
newRequest = newRequest.withNewUri(new URI(service.getUri().getScheme(),
newRequest.getURI().getUserInfo(), service.getHost(), service.getPort(),
newRequest.getURI().getPath(), newRequest.getURI().getQuery(),
newRequest.getURI().getFragment()));
}
}
newRequest = getSecureRequest(request, configOverride);
HttpUriRequest httpUriRequest = newRequest.toRequest(requestConfig);
final HttpResponse httpResponse = RetryableRibbonLoadBalancingHttpClient.this.delegate.execute(httpUriRequest);
if(retryPolicy.retryableStatusCode(httpResponse.getStatusLine().getStatusCode())) {
if(CloseableHttpResponse.class.isInstance(httpResponse)) {
((CloseableHttpResponse)httpResponse).close();
}
throw new RetryableStatusCodeException(RetryableRibbonLoadBalancingHttpClient.this.clientName,
httpResponse.getStatusLine().getStatusCode());
}
return new RibbonApacheHttpResponse(httpResponse, httpUriRequest.getURI());
}
};
return this.executeWithRetry(request, retryPolicy, retryCallback);
}
我们发现先new 一个RetryCallback，然后执行this.executeWithRetry(request, retryPolicy, retryCallback);
而这个RetryCallback.doWithRetry的代码我们清楚看到是实际请求的代码，也就是说this.executeWithRetry方法最终还是会调用RetryCallback.doWithRetry
protected <T, E extends Throwable> T doExecute(RetryCallback<T, E> retryCallback,
RecoveryCallback<T> recoveryCallback, RetryState state)
throws E, ExhaustedRetryException {
RetryPolicy retryPolicy = this.retryPolicy;
BackOffPolicy backOffPolicy = this.backOffPolicy;
// Allow the retry policy to initialise itself...
RetryContext context = open(retryPolicy, state);
if (this.logger.isTraceEnabled()) {
this.logger.trace("RetryContext retrieved: " + context);
}
// Make sure the context is available globally for clients who need
// it...
RetrySynchronizationManager.register(context);
Throwable lastException = null;
boolean exhausted = false;
try {
// Give clients a chance to enhance the context...
boolean running = doOpenInterceptors(retryCallback, context);
if (!running) {
throw new TerminatedRetryException(
"Retry terminated abnormally by interceptor before first attempt");
}
// Get or Start the backoff context...
BackOffContext backOffContext = null;
Object resource = context.getAttribute("backOffContext");
if (resource instanceof BackOffContext) {
backOffContext = (BackOffContext) resource;
}
if (backOffContext == null) {
backOffContext = backOffPolicy.start(context);
if (backOffContext != null) {
context.setAttribute("backOffContext", backOffContext);
}
}
/*
* We allow the whole loop to be skipped if the policy or context already
* forbid the first try. This is used in the case of external retry to allow a
* recovery in handleRetryExhausted without the callback processing (which
* would throw an exception).
*/
while (canRetry(retryPolicy, context) && !context.isExhaustedOnly()) {
try {
if (this.logger.isDebugEnabled()) {
this.logger.debug("Retry: count=" + context.getRetryCount());
}
// Reset the last exception, so if we are successful
// the close interceptors will not think we failed...
lastException = null;
return retryCallback.doWithRetry(context);
}
catch (Throwable e) {
lastException = e;
try {
registerThrowable(retryPolicy, state, context, e);
}
catch (Exception ex) {
throw new TerminatedRetryException("Could not register throwable",
ex);
}
finally {
doOnErrorInterceptors(retryCallback, context, e);
}
if (canRetry(retryPolicy, context) && !context.isExhaustedOnly()) {
try {
backOffPolicy.backOff(backOffContext);
}
catch (BackOffInterruptedException ex) {
lastException = e;
// back off was prevented by another thread - fail the retry
if (this.logger.isDebugEnabled()) {
this.logger
.debug("Abort retry because interrupted: count="
+ context.getRetryCount());
}
throw ex;
}
}
if (this.logger.isDebugEnabled()) {
this.logger.debug(
"Checking for rethrow: count=" + context.getRetryCount());
}
if (shouldRethrow(retryPolicy, context, state)) {
if (this.logger.isDebugEnabled()) {
this.logger.debug("Rethrow in retry for policy: count="
+ context.getRetryCount());
}
throw RetryTemplate.<E>wrapIfNecessary(e);
}
}
/*
* A stateful attempt that can retry may rethrow the exception before now,
* but if we get this far in a stateful retry there's a reason for it,
* like a circuit breaker or a rollback classifier.
*/
if (state != null && context.hasAttribute(GLOBAL_STATE)) {
break;
}
}
if (state == null && this.logger.isDebugEnabled()) {
this.logger.debug(
"Retry failed last attempt: count=" + context.getRetryCount());
}
exhausted = true;
return handleRetryExhausted(recoveryCallback, context, state);
}
catch (Throwable e) {
throw RetryTemplate.<E>wrapIfNecessary(e);
}
finally {
close(retryPolicy, context, state, lastException == null || exhausted);
doCloseInterceptors(retryCallback, context, lastException);
RetrySynchronizationManager.clear();
}
}
在一个while循环里实现重试机制，当执行retryCallback.doWithRetry(context)出现异常的时候，就会catch异常，然后用 retryPolicy判断是否进行重试，特别注意registerThrowable(retryPolicy, state, context, e);方法，不但判断了是否重试，在重试情况下会新选出一个机子放入context，然后再去执行retryCallback.doWithRetry(context)时带入，如此就实现了换机子重试了。
但是我的配置怎么会没有换机子呢？调试代码发现registerThrowable(retryPolicy, state, context, e);选出来的机子没问题，就是新的健康的机子，但是在执行retryCallback.doWithRetry(context)代码的时候依然请求的是那台挂掉的机子。
所以我们再仔细看一下retryCallback.doWithRetry(context)的代码：
我们发现了这行代码：
newRequest = getSecureRequest(request, configOverride);
protected RibbonApacheHttpRequest getSecureRequest(RibbonApacheHttpRequest request, IClientConfig configOverride) {
if (isSecure(configOverride)) {
final URI secureUri = UriComponentsBuilder.fromUri(request.getUri())
.scheme("https").build(true).toUri();
return request.withNewUri(secureUri);
}
return request;
}
newRequest在前面已经使用context构建完毕，request是上一次请求的数据，只要执行这个代码就会发现newRequest永远都会被request覆盖。看到这里我们才发现原来是一个源码bug。
issue地址：
https://github.com/spring-cloud/spring-cloud-netflix/issues/2667
总结
这是一次很普通的查问题过程，在这个过程中当我发现配置没有达到我的预期时，我先查看了配置的含义，尝试多次无果，于是进行断点调试发现异常中断点后，因为场景需要一台机子健康一台机子下线，我模拟了数百次，最终才定位到了这行代码。开源项目即使是优秀的项目必然也会有bug存在，不迷信，不盲目。另一方面，阅读源码能力也是一个解决问题的重要能力，像我在找源码入口，定位代码时耗费了很多的时间。
