Spring 缓存框架

作者: 空之古城 | 来源:发表于2017-07-25 21:10 被阅读322次

    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

    github 代码地址

    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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