缓存是让数据更接近于使用者;工作机制是先从缓存中读取数据,如果没有再从慢速设备上读取实际数据(数据也会存入缓存);缓存的是那些经常读取且不经常修改的数据/那些昂贵(CPU/IO)的且对于相同的请求有相同的计算结果的数据。
先介绍几个重要概念:
- 缓存命中率: 从缓存中读取次数 / 总读取次数,这是衡量缓存效率的核心指标
- 缓存清理策略: FIFO、LRU、LFU
- TTL:存活期,即从缓存中创建时间点开始直到它到期的一个时间段
- TTI:空闲期,即一个数据多久没被访问将从缓存中移除的时间。
自 Spring 3.1 起,提供了 Cache 抽象和基于注解的 Cache 支持,带来如下好处:
- 提供基本的 Cache 抽象,方便切换各种底层 Cache;
- 通过注解 Cache 可以实现类似于事务一样,缓存逻辑透明的应用到我们的业务代码上,且只需要更少的代码就可以完成;
- 提供事务回滚时也自动回滚缓存;
- 支持比较复杂的缓存逻辑。
快速上手
一、Maven 配置
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.bigcrab.spring</groupId>
<artifactId>cache-demo</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<springframework.version>4.3.6.RELEASE</springframework.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context-support</artifactId>
<version>${springframework.version}</version>
</dependency>
</dependencies>
</project>
二、Spring 的 applicationContext.xml 配置
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context.xsd">
<context:component-scan base-package="com.bigcrab.spring.cache"/>
</beans>
三、最简单的缓存代码配置
package com.bigcrab.spring.cache;
import org.springframework.cache.Cache;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurer;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.concurrent.ConcurrentMapCacheManager;
import org.springframework.cache.interceptor.CacheErrorHandler;
import org.springframework.cache.interceptor.CacheResolver;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Configuration;
import javax.annotation.PostConstruct;
import java.util.List;
import java.util.stream.Collectors;
/**
* Created by luantao on 2017/3/6.
*/
@Configuration
@EnableCaching(proxyTargetClass = true)
public class AppConfig implements CachingConfigurer {
private CacheManager cacheManager;
@PostConstruct
public void init() {
cacheManager = new ConcurrentMapCacheManager();
}
@Override
public CacheManager cacheManager() {
return null;
}
@Override
public CacheResolver cacheResolver() {
return context -> context.getOperation().getCacheNames()
.stream()
.map(cacheManager::getCache)
.collect(Collectors.toList());
}
@Override
public KeyGenerator keyGenerator() {
return null;
}
@Override
public CacheErrorHandler errorHandler() {
return null;
}
}
四、User 数据定义
package com.bigcrab.spring.cache;
/**
* Created by luantao on 2017/3/6.
*/
public class User {
private Long id;
private String name;
public User(Long id, String name) {
this.id = id;
this.name = name;
}
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
}
五、User 管理服务实现
package com.bigcrab.spring.cache;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
/**
* Created by luantao on 2017/3/6.
*/
@Service
public class UserService {
private Map<Long, User> users = new ConcurrentHashMap<>();
public User addUser(User user) {
users.put(user.getId(), user);
return user;
}
@Cacheable(value = "user", key = "#id")
public User getUser(Long id) {
System.out.println("get user in user service");
return users.get(id);
}
}
六、测试逻辑
package com.bigcrab.spring.cache;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
/**
* Created by luantao on 2017/3/6.
*/
@Component
public class UserClient {
@Autowired
private UserService userService;
public void run() {
addUsers();
getUsers();
}
private void addUsers() {
for (long i = 0; i < 100; ++i) {
String name = String.format("user_%d", i);
userService.addUser(new User(i, name));
}
}
private void getUsers() {
getUser(1L);
getUser(20L);
getUser(101L);
getUser(1L);
getUser(20L);
getUser(101L);
}
private void getUser(long id) {
System.out.println("=== start getting user who's id is " + id + " ===");
User user = userService.getUser(id);
String log = String.format("user id = %d, user name = %s", id, user != null ? user.getName() : null);
System.out.println(log);
}
}
七、主函数
package com.bigcrab.spring.cache;
import org.springframework.context.ApplicationContext;
import org.springframework.context.support.ClassPathXmlApplicationContext;
/**
* Created by luantao on 2017/3/6.
*/
public class Main {
public static void main(String[] args) {
ApplicationContext ctx = new ClassPathXmlApplicationContext("applicationContext.xml");
UserClient client = ctx.getBean(UserClient.class);
client.run();
}
}
八、测试结果
=== start getting user who's id is 1 ===
get user in user service
user id = 1, user name = user_1
=== start getting user who's id is 20 ===
get user in user service
user id = 20, user name = user_20
=== start getting user who's id is 101 ===
get user in user service
user id = 101, user name = null
=== start getting user who's id is 1 ===
user id = 1, user name = user_1
=== start getting user who's id is 20 ===
user id = 20, user name = user_20
=== start getting user who's id is 101 ===
user id = 101, user name = null
条件缓存
Srping Cache 框架允许通过 condition 或者 unless 字段增加一些缓存控制策略。
- @Cacheable 将在执行方法之前(#result还拿不到返回值)判断 condition,如果返回 true,则查缓存:
@Cacheable(value = "user", key = "#id", condition = "#id lt 10")
public User conditionFindById(final Long id)
- @CachePut 将在执行完方法后(#result就能拿到返回值了)判断 condition,如果返回 true,则放入缓存:
@CachePut(value = "user", key = "#id", condition = "#result.name ne 'foo'")
public User conditionSave(final User user)
- @CachePut 将在执行完方法后(#result就能拿到返回值了)判断 unless,如果返回 false,则放入缓存:
@CachePut(value = "user", key = "#user.id", unless = "#result.name eq 'foo'")
public User conditionSave(final User user)
- @CacheEvict, beforeInvocation=false表示在方法执行之后调用(#result能拿到返回值了);且判断condition,如果返回true,则移除缓存:
@CacheEvict(value = "user", key = "#user.id", beforeInvocation = false, condition = "#result.name ne 'foo'")
public User conditionDelete(final User user)
组合注解
可以使用 @Caching 把多个缓存注解组合在一起,如下:
@Caching(
put = {
@CachePut(value = "user", key = "#user.id"),
@CachePut(value = "user_name", key = "#user.name")
}
)
public User addUser(User user) {
users.put(user.getId(), user);
return user;
}
也可以自己定义一个注解,这样使用的地方就会简洁很多:
@Caching(
put = {
@CachePut(value = "user", key = "#user.id"),
@CachePut(value = "user_name", key = "#user.name")
}
)
@Target({ElementType.METHOD, ElementType.TYPE})
@Retention(RetentionPolicy.RUNTIME)
@Inherited
public @interface CacheUser {
}
addUser 就改为:
@CacheUser
public User addUser(User user) {
users.put(user.getId(), user);
return user;
}
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