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回顾执行流程
1、创建command,2种command类型
2、执行command,4种执行方式
3、查找是否开启了request cache,是否有请求缓存,如果有缓存,直接取用缓存,返回结果
首先,reqeust context(请求上下文)
一般在一个web应用中,Hystrix会在一个filter里面,对每个请求都添加一个请求上下文
即Tomcat容器内,每一次请求,就是一次请求上下文
然后在这次请求上下文中,我们会去执行N多代码,调用N多依赖服务,有的依赖服务可能还会调用好几次
在一次请求上下文中,如果有多个command,参数及调用的接口也是一样的,其实结果也可以认为是一样的
那么就可以让第一次command执行返回的结果缓存在内存,然后这个请求上下文中,后续的其他对这个依赖的调用全部从内存中取用缓存结果即可
这样避免在一次请求上下文中多次执行一样的command,避免重复执行网络请求,从而提升整个请求的性能
-
request cache的原理图
对于请求缓存(request caching),请求合并(request collapsing),请求日志(request log),等等技术,都必须自己管理HystrixReuqestContext的声明周期
在一个请求执行之前,都必须先初始化一个request context
HystrixRequestContext context = HystrixRequestContext.initializeContext();
然后在请求结束之后,需要关闭request context
context.shutdown();
一般来说,在java web的应用中,都是通过filter过滤器来实现的
public class HystrixRequestContextServletFilter implements Filter {
public void doFilter(ServletRequest request, ServletResponse response, FilterChain chain)
throws IOException, ServletException {
HystrixRequestContext context = HystrixRequestContext.initializeContext();
try {
chain.doFilter(request, response);
} finally {
context.shutdown();
}
}
}
@Bean
public FilterRegistrationBean indexFilterRegistration() {
FilterRegistrationBean registration = new FilterRegistrationBean(new IndexFilter());
registration.addUrlPatterns("/");
return registration;
}
结合业务背景,我们做了一个批量查询商品数据的接口,在这个里面,我们其实通过HystrixObservableCommand一次性批量查询多个商品id的数据
但是这里有个问题,如果说nginx在本地缓存失效了,重新获取一批缓存,传递过来的productId都没有进行去重,1,1,2,2,5,6,7
那么可能说,商品id出现了重复,如果按照我们之前的业务逻辑,可能就会重复对productId=1的商品查询两次,productId=2的商品查询两次
我们对批量查询商品数据的接口,可以用request cache做一个优化,就是说一次请求,就是一次request context,对相同的商品查询只能执行一次,其余的都走request cache
public class CommandUsingRequestCache extends HystrixCommand {
private final int value;
protected CommandUsingRequestCache(int value) {
super(HystrixCommandGroupKey.Factory.asKey("ExampleGroup"));
this.value = value;
}
@Override
protected Boolean run() {
return value == 0 || value % 2 == 0;
}
@Override
protected String getCacheKey() {
return String.valueOf(value);
}
}
@Test
public void testWithCacheHits() {
HystrixRequestContext context = HystrixRequestContext.initializeContext();
try {
CommandUsingRequestCache command2a = new CommandUsingRequestCache(2);
CommandUsingRequestCache command2b = new CommandUsingRequestCache(2);
assertTrue(command2a.execute());
// this is the first time we've executed this command with
// the value of "2" so it should not be from cache
assertFalse(command2a.isResponseFromCache());
assertTrue(command2b.execute());
// this is the second time we've executed this command with
// the same value so it should return from cache
assertTrue(command2b.isResponseFromCache());
} finally {
context.shutdown();
}
// start a new request context
context = HystrixRequestContext.initializeContext();
try {
CommandUsingRequestCache command3b = new CommandUsingRequestCache(2);
assertTrue(command3b.execute());
// this is a new request context so this
// should not come from cache
assertFalse(command3b.isResponseFromCache());
} finally {
context.shutdown();
}
}
缓存的手动清理
public static class GetterCommand extends HystrixCommand {
private static final HystrixCommandKey GETTER_KEY = HystrixCommandKey.Factory.asKey("GetterCommand");
private final int id;
public GetterCommand(int id) {
super(Setter.withGroupKey(HystrixCommandGroupKey.Factory.asKey("GetSetGet"))
.andCommandKey(GETTER_KEY));
this.id = id;
}
@Override
protected String run() {
return prefixStoredOnRemoteDataStore + id;
}
@Override
protected String getCacheKey() {
return String.valueOf(id);
}
/**
* Allow the cache to be flushed for this object.
*
* @param id
* argument that would normally be passed to the command
*/
public static void flushCache(int id) {
HystrixRequestCache.getInstance(GETTER_KEY,
HystrixConcurrencyStrategyDefault.getInstance()).clear(String.valueOf(id));
}
}
public static class SetterCommand extends HystrixCommand {
private final int id;
private final String prefix;
public SetterCommand(int id, String prefix) {
super(HystrixCommandGroupKey.Factory.asKey("GetSetGet"));
this.id = id;
this.prefix = prefix;
}
@Override
protected Void run() {
// persist the value against the datastore
prefixStoredOnRemoteDataStore = prefix;
// flush the cache
GetterCommand.flushCache(id);
// no return value
return null;
}
}
回顾执行流程
1、创建command,2种command类型
2、执行command,4种执行方式
3、查找是否开启了request cache,是否有请求缓存,如果有缓存,直接取用缓存,返回结果
首先,reqeust context(请求上下文)
一般在一个web应用中,Hystrix会在一个filter里面,对每个请求都添加一个请求上下文
即Tomcat容器内,每一次请求,就是一次请求上下文
然后在这次请求上下文中,我们会去执行N多代码,调用N多依赖服务,有的依赖服务可能还会调用好几次
在一次请求上下文中,如果有多个command,参数及调用的接口也是一样的,其实结果也可以认为是一样的
那么就可以让第一次command执行返回的结果缓存在内存,然后这个请求上下文中,后续的其他对这个依赖的调用全部从内存中取用缓存结果即可
这样避免在一次请求上下文中多次执行一样的command,避免重复执行网络请求,从而提升整个请求的性能
-
request cache的原理图
对于请求缓存(request caching),请求合并(request collapsing),请求日志(request log),等等技术,都必须自己管理HystrixReuqestContext的声明周期
在一个请求执行之前,都必须先初始化一个request context
HystrixRequestContext context = HystrixRequestContext.initializeContext();
然后在请求结束之后,需要关闭request context
context.shutdown();
一般来说,在java web的应用中,都是通过filter过滤器来实现的
public class HystrixRequestContextServletFilter implements Filter {
public void doFilter(ServletRequest request, ServletResponse response, FilterChain chain)
throws IOException, ServletException {
HystrixRequestContext context = HystrixRequestContext.initializeContext();
try {
chain.doFilter(request, response);
} finally {
context.shutdown();
}
}
}
@Bean
public FilterRegistrationBean indexFilterRegistration() {
FilterRegistrationBean registration = new FilterRegistrationBean(new IndexFilter());
registration.addUrlPatterns("/");
return registration;
}
结合业务背景,我们做了一个批量查询商品数据的接口,在这个里面,我们其实通过HystrixObservableCommand一次性批量查询多个商品id的数据
但是这里有个问题,如果说nginx在本地缓存失效了,重新获取一批缓存,传递过来的productId都没有进行去重,1,1,2,2,5,6,7
那么可能说,商品id出现了重复,如果按照我们之前的业务逻辑,可能就会重复对productId=1的商品查询两次,productId=2的商品查询两次
我们对批量查询商品数据的接口,可以用request cache做一个优化,就是说一次请求,就是一次request context,对相同的商品查询只能执行一次,其余的都走request cache
public class CommandUsingRequestCache extends HystrixCommand {
private final int value;
protected CommandUsingRequestCache(int value) {
super(HystrixCommandGroupKey.Factory.asKey("ExampleGroup"));
this.value = value;
}
@Override
protected Boolean run() {
return value == 0 || value % 2 == 0;
}
@Override
protected String getCacheKey() {
return String.valueOf(value);
}
}
@Test
public void testWithCacheHits() {
HystrixRequestContext context = HystrixRequestContext.initializeContext();
try {
CommandUsingRequestCache command2a = new CommandUsingRequestCache(2);
CommandUsingRequestCache command2b = new CommandUsingRequestCache(2);
assertTrue(command2a.execute());
// this is the first time we've executed this command with
// the value of "2" so it should not be from cache
assertFalse(command2a.isResponseFromCache());
assertTrue(command2b.execute());
// this is the second time we've executed this command with
// the same value so it should return from cache
assertTrue(command2b.isResponseFromCache());
} finally {
context.shutdown();
}
// start a new request context
context = HystrixRequestContext.initializeContext();
try {
CommandUsingRequestCache command3b = new CommandUsingRequestCache(2);
assertTrue(command3b.execute());
// this is a new request context so this
// should not come from cache
assertFalse(command3b.isResponseFromCache());
} finally {
context.shutdown();
}
}
缓存的手动清理
public static class GetterCommand extends HystrixCommand {
private static final HystrixCommandKey GETTER_KEY = HystrixCommandKey.Factory.asKey("GetterCommand");
private final int id;
public GetterCommand(int id) {
super(Setter.withGroupKey(HystrixCommandGroupKey.Factory.asKey("GetSetGet"))
.andCommandKey(GETTER_KEY));
this.id = id;
}
@Override
protected String run() {
return prefixStoredOnRemoteDataStore + id;
}
@Override
protected String getCacheKey() {
return String.valueOf(id);
}
/**
* Allow the cache to be flushed for this object.
*
* @param id
* argument that would normally be passed to the command
*/
public static void flushCache(int id) {
HystrixRequestCache.getInstance(GETTER_KEY,
HystrixConcurrencyStrategyDefault.getInstance()).clear(String.valueOf(id));
}
}
public static class SetterCommand extends HystrixCommand {
private final int id;
private final String prefix;
public SetterCommand(int id, String prefix) {
super(HystrixCommandGroupKey.Factory.asKey("GetSetGet"));
this.id = id;
this.prefix = prefix;
}
@Override
protected Void run() {
// persist the value against the datastore
prefixStoredOnRemoteDataStore = prefix;
// flush the cache
GetterCommand.flushCache(id);
// no return value
return null;
}
}
参考
- 《Java工程师面试突击第1季-中华石杉老师》