HystrixRequestCache

  请求缓存。内部是一个静态ConcurrentHashMap存储各个命令的缓存器,RequestCacheKey为key,HystrixRequestCache为value。

private final static ConcurrentHashMap<RequestCacheKey, HystrixRequestCache> caches = new ConcurrentHashMap<RequestCacheKey, HystrixRequestCache>();

  RequestCacheKey由两部分组成:当前command的keyname,指定HystrixConcurrencyStrategy对象。

private static class RequestCacheKey {
private final short type; // used to differentiate between Collapser/Command if key is same between them
private final String key;
private final HystrixConcurrencyStrategy concurrencyStrategy; private RequestCacheKey(HystrixCommandKey commandKey, HystrixConcurrencyStrategy concurrencyStrategy) {
type = 1;
if (commandKey == null) {
this.key = null;
} else {
this.key = commandKey.name();
}
this.concurrencyStrategy = concurrencyStrategy;
}
...

  通过getInstance来获取每个命令的缓冲器。

public static HystrixRequestCache getInstance(HystrixCommandKey key, HystrixConcurrencyStrategy concurrencyStrategy) {
return getInstance(new RequestCacheKey(key, concurrencyStrategy), concurrencyStrategy);
} public static HystrixRequestCache getInstance(HystrixCollapserKey key, HystrixConcurrencyStrategy concurrencyStrategy) {
return getInstance(new RequestCacheKey(key, concurrencyStrategy), concurrencyStrategy);
} private static HystrixRequestCache getInstance(RequestCacheKey rcKey, HystrixConcurrencyStrategy concurrencyStrategy) {
HystrixRequestCache c = caches.get(rcKey);
if (c == null) {
HystrixRequestCache newRequestCache = new HystrixRequestCache(rcKey, concurrencyStrategy);
HystrixRequestCache existing = caches.putIfAbsent(rcKey, newRequestCache);
if (existing == null) {
// we won so use the new one
c = newRequestCache;
} else {
// we lost so use the existing
c = existing;
}
}
return c;
}

  HystrixRequestCache提供了get来获取指定key缓存,提供了putIfAbsent来存储指定key的缓存内容。内部是一个ConcurrentHashMap存储缓存内容,ValueCacheKey为key,HystrixCachedObservable为value。缓存的内容是请求级别共享的,所以放在一个HystrixRequestVariableHolder中。

private static final HystrixRequestVariableHolder<ConcurrentHashMap<ValueCacheKey, HystrixCachedObservable<?>>> requestVariableForCache = new HystrixRequestVariableHolder<ConcurrentHashMap<ValueCacheKey, HystrixCachedObservable<?>>>(new HystrixRequestVariableLifecycle<ConcurrentHashMap<ValueCacheKey, HystrixCachedObservable<?>>>() {

        @Override
public ConcurrentHashMap<ValueCacheKey, HystrixCachedObservable<?>> initialValue() {
return new ConcurrentHashMap<ValueCacheKey, HystrixCachedObservable<?>>();
} @Override
public void shutdown(ConcurrentHashMap<ValueCacheKey, HystrixCachedObservable<?>> value) {
// nothing to shutdown
} });

  ValueCacheKey由三部分组成:RequestCacheKey对象和指定String类型 key。

private static class ValueCacheKey {
private final RequestCacheKey rvKey;
private final String valueCacheKey;
private ValueCacheKey(RequestCacheKey rvKey, String valueCacheKey) {
this.rvKey = rvKey;
this.valueCacheKey = valueCacheKey;
} ... }

  get和putIfAbsent方法

@SuppressWarnings({ "unchecked" })
/* package */<T> HystrixCachedObservable<T> get(String cacheKey) {
ValueCacheKey key = getRequestCacheKey(cacheKey);
if (key != null) {
ConcurrentHashMap<ValueCacheKey, HystrixCachedObservable<?>> cacheInstance = requestVariableForCache.get(concurrencyStrategy);
if (cacheInstance == null) {
throw new IllegalStateException("Request caching is not available. Maybe you need to initialize the HystrixRequestContext?");
}
/* look for the stored value */
return (HystrixCachedObservable<T>) cacheInstance.get(key);
}
return null;
} @SuppressWarnings({ "unchecked" })
/* package */<T> HystrixCachedObservable<T> putIfAbsent(String cacheKey, HystrixCachedObservable<T> f) {
ValueCacheKey key = getRequestCacheKey(cacheKey);
if (key != null) {
/* look for the stored value */
ConcurrentHashMap<ValueCacheKey, HystrixCachedObservable<?>> cacheInstance = requestVariableForCache.get(concurrencyStrategy);
if (cacheInstance == null) {
throw new IllegalStateException("Request caching is not available. Maybe you need to initialize the HystrixRequestContext?");
}
HystrixCachedObservable<T> alreadySet = (HystrixCachedObservable<T>) cacheInstance.putIfAbsent(key, f);
if (alreadySet != null) {
// someone beat us so we didn't cache this
return alreadySet;
}
}
// we either set it in the cache or do not have a cache key
return null;
}

HystrixCachedObservable

  内部使用了ReplaySubject缓存了originalObservable的结果

 protected final Subscription originalSubscription;
protected final Observable<R> cachedObservable;
private volatile int outstandingSubscriptions = 0; protected HystrixCachedObservable(final Observable<R> originalObservable) {
ReplaySubject<R> replaySubject = ReplaySubject.create();
this.originalSubscription = originalObservable
.subscribe(replaySubject); this.cachedObservable = replaySubject
.doOnUnsubscribe(new Action0() {
@Override
public void call() {
outstandingSubscriptions--;
if (outstandingSubscriptions == 0) {
originalSubscription.unsubscribe();
}
}
})
.doOnSubscribe(new Action0() {
@Override
public void call() {
outstandingSubscriptions++;
}
});
} public static <R> HystrixCachedObservable<R> from(Observable<R> o, AbstractCommand<R> originalCommand) {
return new HystrixCommandResponseFromCache<R>(o, originalCommand);
} public static <R> HystrixCachedObservable<R> from(Observable<R> o) {
return new HystrixCachedObservable<R>(o);
} public Observable<R> toObservable() {
return cachedObservable;
} public void unsubscribe() {
originalSubscription.unsubscribe();
}

HystrixCommandResponseFromCache

  HystrixCachedObservable的子类,HystrixCommand实际使用来缓存结果的类。该类的作用是,当使用缓存结果时,会同步之前命令的运行结果

public class HystrixCommandResponseFromCache<R> extends HystrixCachedObservable<R> {
private final AbstractCommand<R> originalCommand; /* package-private */ HystrixCommandResponseFromCache(Observable<R> originalObservable, final AbstractCommand<R> originalCommand) {
super(originalObservable);
this.originalCommand = originalCommand;
} public Observable<R> toObservableWithStateCopiedInto(final AbstractCommand<R> commandToCopyStateInto) {
final AtomicBoolean completionLogicRun = new AtomicBoolean(false); return cachedObservable
.doOnError(new Action1<Throwable>() {
@Override
public void call(Throwable throwable) {
if (completionLogicRun.compareAndSet(false, true)) {
commandCompleted(commandToCopyStateInto);
}
}
})
.doOnCompleted(new Action0() {
@Override
public void call() {
if (completionLogicRun.compareAndSet(false, true)) {
commandCompleted(commandToCopyStateInto);
}
}
})
.doOnUnsubscribe(new Action0() {
@Override
public void call() {
if (completionLogicRun.compareAndSet(false, true)) {
commandUnsubscribed(commandToCopyStateInto);
}
}
});
} private void commandCompleted(final AbstractCommand<R> commandToCopyStateInto) {
commandToCopyStateInto.executionResult = originalCommand.executionResult;
} private void commandUnsubscribed(final AbstractCommand<R> commandToCopyStateInto) {
commandToCopyStateInto.executionResult = commandToCopyStateInto.executionResult.addEvent(HystrixEventType.CANCELLED);
commandToCopyStateInto.executionResult = commandToCopyStateInto.executionResult.setExecutionLatency(-1);
}
}

hystrix源码之请求缓存的更多相关文章

  1. hystrix源码之请求合并

    请求合并 使用HystrixObservableCollapser可以将参数不同,但执行过程相同的调用合并执行.当调用observe.toObservable方法时,会向RequestCollapse ...

  2. 【一起学源码-微服务】Hystrix 源码一:Hystrix基础原理与Demo搭建

    说明 原创不易,如若转载 请标明来源! 欢迎关注本人微信公众号:壹枝花算不算浪漫 更多内容也可查看本人博客:一枝花算不算浪漫 前言 前情回顾 上一个系列文章讲解了Feign的源码,主要是Feign动态 ...

  3. 【转】MaBatis学习---源码分析MyBatis缓存原理

    [原文]https://www.toutiao.com/i6594029178964673027/ 源码分析MyBatis缓存原理 1.简介 在 Web 应用中,缓存是必不可少的组件.通常我们都会用 ...

  4. Tomcat源码分析——请求原理分析(中)

    前言 在<TOMCAT源码分析——请求原理分析(上)>一文中已经介绍了关于Tomcat7.0处理请求前作的初始化和准备工作,请读者在阅读本文前确保掌握<TOMCAT源码分析——请求原 ...

  5. Mybatis源码手记-从缓存体系看责任链派发模式与循环依赖企业级实践

    一.缓存总览 Mybatis在设计上处处都有用到的缓存,而且Mybatis的缓存体系设计上遵循单一职责.开闭原则.高度解耦.及其精巧,充分的将缓存分层,其独到之处可以套用到很多类似的业务上.这里将主要 ...

  6. 第三篇:白话tornado源码之请求来了

    上一篇<白话tornado源码之待请求阶段>中介绍了tornado框架在客户端请求之前所做的准备(下图1.2部分),本质上就是创建了一个socket服务端,并进行了IP和端口的绑定,但是未 ...

  7. jQuery1.9.1源码分析--数据缓存Data模块

    jQuery1.9.1源码分析--数据缓存Data模块 阅读目录 jQuery API中Data的基本使用方法介绍 jQuery.acceptData(elem)源码分析 jQuery.data(el ...

  8. lodash源码分析之缓存使用方式的进一步封装

    在世界上所有的民族之中,支配着他们的喜怒选择的并不是天性,而是他们的观点. --卢梭<社会与契约论> 本文为读 lodash 源码的第九篇,后续文章会更新到这个仓库中,欢迎 star:po ...

  9. Hystrix源码解析

    1. Hystrix源码解析 1.1. @HystrixCommand原理 直接通过Aspect切面来做的 1.2. feign hystrix原理 它的本质原理就是对HystrixCommand的动 ...

随机推荐

  1. RFC2474 - Definition of the Differentiated Services Field (DS Field) in the IPv4 and IPv6 Headers的双语版

    RFC2474 - Definition of the Differentiated Services Field (DS Field) in the IPv4 and IPv6 Headers英文版 ...

  2. 洛谷 P6218 [USACO06NOV] Round Numbers S

    洛谷 P6218 [USACO06NOV] Round Numbers S 题目描述 如果一个正整数的二进制表示中,\(0\) 的数目不小于 \(1\) 的数目,那么它就被称为「圆数」. 例如,\(9 ...

  3. Jmeter 常用函数(6)- 详解 __P

    如果你想查看更多 Jmeter 常用函数可以在这篇文章找找哦 https://www.cnblogs.com/poloyy/p/13291704.html 作用 和 __property 作用一样,不 ...

  4. Qt 实现 异形 窗体&按钮

    //关键部分代码如下//设置异形窗体 //setWindowOpacity(0.5);//设置窗体透明度 0完全透明,1完全不透明 this->setWindowFlag(Qt::Framele ...

  5. Python Jinja2 Template: YAML File Cisco Example Tutorial

    原文链接:http://networkbit.ch/python-jinja-template/ template.txt如下: hostname {{ name }} interface Loopb ...

  6. beego 快速入门

    原文链接:https://beego.me/quickstart 1.安装依赖 git clone http://github.com/astaxie/beego.git git clone http ...

  7. Linux 常用软件清单

    Linux 常用软件清单 下面是Linux环境的一些软件(有些只是关键字,直接搜素即可): arch 系列的是 pacman -Ss <关键字> debian 系列的是 apt searc ...

  8. 为什么我们需要Logstash,Fluentd等日志摄取器?

    前文传送门:Logging with ElasticSearch, Kibana, ASP.NET Core and Docker 疑问:既然应用能直接向ElasticSearch写日志,为什么我们还 ...

  9. 怎么下载chrome的扩展程序

    很多时候我们是没办法访问谷歌扩展应用程序 chrome应用商店的,这时候我们最好能把对应扩展应用程序下载保存,以便提供给其他人员使用. 搜索得到知乎有很全的方法: 如何导出并打包第三方chrome扩展 ...

  10. ReplayingDecoder 解码器:别以为我有多厉害,也只不过是使用了一下装饰器模式而已~

    原文地址 一.设计模式为啥老是用不好? 想要写出更屌的代码,提高代码的健壮性和可扩展性,那么设计模式可谓是必学的技能. 关于学习设计模式,大家可能都觉得设计模式的概念太过于抽象,理解起来有点费劲:又或 ...