30分钟内搭建一个全能轻量级springboot 3.4 + 脚手架 ＜5＞ 5分钟集成好caffeine并使用注解操作缓存

快速导航

<1> 5分钟快速创建一个springboot web项目
<2> 5分钟集成好最新版本的开源swagger ui，并使用ui操作调用接口
<3> 5分钟集成好druid并使用druid自带监控工具监控sql请求
<4> 5分钟集成好mybatisplus并使用mybatisplus generator自动生成代码
<5> 5分钟集成好caffeine并使用注解操作缓存
<6> 5分钟集成好前端页面，使用vue开发前端

在 Spring Boot 中，注解操作缓存的原理基于 Spring 的缓存抽象 (Spring Cache Abstraction)。使用缓存注解时，Spring 会自动处理与缓存相关的逻辑，而开发者只需要专注于业务代码。常用的缓存注解有 @Cacheable、@CachePut 和 @CacheEvict。

一、准备工作

1.1 maven 安装caffeine和相关依赖

<dependency><groupId>com.github.ben-manes.caffeine</groupId><artifactId>caffeine</artifactId><version>3.1.8</version> <!-- 确保版本兼容 -->
</dependency>
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-cache</artifactId>
</dependency>

1.2 配置caffeine

有两种配置方式

1.2.1 javaconfig配置caffeine

package com.example.demo.config;import com.github.benmanes.caffeine.cache.Caffeine;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.caffeine.CaffeineCacheManager;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;import java.util.List;
import java.util.concurrent.TimeUnit;@Configuration
@EnableCaching
public class CacheConfig {@Beanpublic Caffeine<Object, Object> caffeineConfig() {return Caffeine.newBuilder().maximumSize(1000).expireAfterWrite(5, TimeUnit.MINUTES)
//                .weakKeys() // 很坑会，基本上很快就把key清理掉了，缓存再也命中不了.recordStats();}@Beanpublic CacheManager cacheManager(Caffeine<Object, Object> caffeine) {CaffeineCacheManager cacheManager = new CaffeineCacheManager();cacheManager.setCaffeine(caffeine);cacheManager.setCacheNames(List.of(new String[]{"users"}));return cacheManager;}}

1.2.2 缓存代码编写

TestController

package com.example.demo.web;import com.example.demo.entity.User;
import com.example.demo.service.IUserService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.tags.Tag;
import jakarta.annotation.Resource;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.util.List;@RestController
@RequestMapping("/test")
@Tag(name = "User API", description = "用户管理相关接口")
public class TestController {@Resourceprivate IUserService userService;@GetMapping("")@Operation(method = "test", summary = "测试接口")public String test(){return "test";}@GetMapping("/user")@Operation(method = "allUsers", summary = "获取所有用户")public List<User> allUsers(){return userService.list();}@GetMapping("/user/{id}")@Operation(method = "getUserCache", summary = "获取用户缓存")public void testGetUserCache(@PathVariable String id){User user = userService.getUserById(id);System.out.println(user);}}

UserServiceImpl

package com.example.demo.service.impl;import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.example.demo.entity.User;
import com.example.demo.mapper.UserMapper;
import com.example.demo.service.IUserService;
import org.springframework.cache.annotation.CacheConfig;
import org.springframework.cache.annotation.CacheEvict;
import org.springframework.cache.annotation.CachePut;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;/*** <p>* 测试用户 服务实现类* </p>** @author allens* @since 2025-01-15*/
@Service
public class UserServiceImpl extends ServiceImpl<UserMapper, User> implements IUserService {@Cacheable(value = "users", key = "'user_' + #id", unless = "#result == null")public User getUserById(String id) {// 模拟数据库查询return this.getBaseMapper().selectById(id);}@CachePut(value = "users", key = "#id")public void updateUser(String id, String name) {// 模拟更新数据库并返回新值User user = this.getBaseMapper().selectById(id);user.setName(name);this.getBaseMapper().updateById(user);}@CacheEvict(value = "users", key = "#id")public void deleteUser(String id) {// 模拟删除数据库记录System.out.println("User with id " + id + " has been deleted from database and cache.");this.getBaseMapper().deleteById(id);}@CacheEvict(value = "users", allEntries = true)public void clearCache() {System.out.println("All user cache has been cleared.");}}

1.3 注解说明

请参考我的这篇文章 Springboot 注解使用详解

二、测试

点击发送请求，第一次执行了sql，第二次在方法体中打断点，发现没有进入。且日志未输出相关查询数据库操作。

三、注解操作缓存原理以及一些难点排查

3.1 注解操作缓存原理

工作原理总结：

1. 代理模式：Spring 使用动态代理或 CGLIB 代理来拦截带有缓存注解的方法调用。代理会在方法调用之前或之后进行缓存操作。

开启注解缓存是靠 @EnableCaching 来实现的，那么我们从这个注解开始入手:

@Target(ElementType.TYPE)
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Import(CachingConfigurationSelector.class)
public @interface EnableCaching {/*** Indicate whether subclass-based (CGLIB) proxies are to be created as opposed* to standard Java interface-based proxies. The default is {@code false}. <strong>* Applicable only if {@link #mode()} is set to {@link AdviceMode#PROXY}</strong>.* <p>Note that setting this attribute to {@code true} will affect <em>all</em>* Spring-managed beans requiring proxying, not just those marked with {@code @Cacheable}.* For example, other beans marked with Spring's {@code @Transactional} annotation will* be upgraded to subclass proxying at the same time. This approach has no negative* impact in practice unless one is explicitly expecting one type of proxy vs another,* for example, in tests.*/boolean proxyTargetClass() default false;/*** Indicate how caching advice should be applied.* <p><b>The default is {@link AdviceMode#PROXY}.</b>* Please note that proxy mode allows for interception of calls through the proxy* only. Local calls within the same class cannot get intercepted that way;* a caching annotation on such a method within a local call will be ignored* since Spring's interceptor does not even kick in for such a runtime scenario.* For a more advanced mode of interception, consider switching this to* {@link AdviceMode#ASPECTJ}.*/AdviceMode mode() default AdviceMode.PROXY;/*** Indicate the ordering of the execution of the caching advisor* when multiple advices are applied at a specific joinpoint.* <p>The default is {@link Ordered#LOWEST_PRECEDENCE}.*/int order() default Ordered.LOWEST_PRECEDENCE;}

@Import(CachingConfigurationSelector.class) 我们进入CachingConfigurationSelector 看下：

点击进入ProxyCachingConfiguration

@Bean(name = CacheManagementConfigUtils.CACHE_ADVISOR_BEAN_NAME)@Role(BeanDefinition.ROLE_INFRASTRUCTURE)public BeanFactoryCacheOperationSourceAdvisor cacheAdvisor(CacheOperationSource cacheOperationSource, CacheInterceptor cacheInterceptor) {BeanFactoryCacheOperationSourceAdvisor advisor = new BeanFactoryCacheOperationSourceAdvisor();advisor.setCacheOperationSource(cacheOperationSource);advisor.setAdvice(cacheInterceptor);if (this.enableCaching != null) {advisor.setOrder(this.enableCaching.<Integer>getNumber("order"));}return advisor;
}@Bean
@Role(BeanDefinition.ROLE_INFRASTRUCTURE)
public CacheOperationSource cacheOperationSource() {// Accept protected @Cacheable etc methods on CGLIB proxies, as of 6.0.return new AnnotationCacheOperationSource(false);
}@Bean
@Role(BeanDefinition.ROLE_INFRASTRUCTURE)
public CacheInterceptor cacheInterceptor(CacheOperationSource cacheOperationSource) {CacheInterceptor interceptor = new CacheInterceptor();interceptor.configure(this.errorHandler, this.keyGenerator, this.cacheResolver, this.cacheManager);interceptor.setCacheOperationSource(cacheOperationSource);return interceptor;
}

我们可以看到动态代理注入了一个interceptor，我们这个时候就可以猜测，所有的缓存操作都是在这个interceptor里边进行操作的(不熟悉动态代理原理的可以先去看下)。

public class CacheInterceptor extends CacheAspectSupport implements MethodInterceptor, Serializable {@Override@Nullablepublic Object invoke(final MethodInvocation invocation) throws Throwable {Method method = invocation.getMethod();CacheOperationInvoker aopAllianceInvoker = () -> {try {return invocation.proceed();}catch (Throwable ex) {throw new CacheOperationInvoker.ThrowableWrapper(ex);}};Object target = invocation.getThis();Assert.state(target != null, "Target must not be null");try {return execute(aopAllianceInvoker, target, method, invocation.getArguments());}catch (CacheOperationInvoker.ThrowableWrapper th) {throw th.getOriginal();}}
}

再点击进入 CacheAspectSupport 发现有个方法叫execute，礼拜呢有一个findCachedValue方法，这个就是查询缓存有没有命中，如果有命中直接返回缓存，如果没命中那么就会执行员原服务方法获取数据。

@Nullable
private Object execute(CacheOperationInvoker invoker, Method method, CacheOperationContexts contexts) {if (contexts.isSynchronized()) {// Special handling of synchronized invocationreturn executeSynchronized(invoker, method, contexts);}// Process any early evictionsprocessCacheEvicts(contexts.get(CacheEvictOperation.class), true,CacheOperationExpressionEvaluator.NO_RESULT);// Check if we have a cached value matching the conditionsObject cacheHit = findCachedValue(invoker, method, contexts); // 查询缓存if (cacheHit == null || cacheHit instanceof Cache.ValueWrapper) { // 判断是否命中缓存return evaluate(cacheHit, invoker, method, contexts);}return cacheHit;
}

CacheAspectSupport.findCachedValue

@Nullable
private Object findCachedValue(CacheOperationInvoker invoker, Method method, CacheOperationContexts contexts) {for (CacheOperationContext context : contexts.get(CacheableOperation.class)) {if (isConditionPassing(context, CacheOperationExpressionEvaluator.NO_RESULT)) {Object key = generateKey(context, CacheOperationExpressionEvaluator.NO_RESULT);Object cached = findInCaches(context, key, invoker, method, contexts); // 查找缓存if (cached != null) {if (logger.isTraceEnabled()) {logger.trace("Cache entry for key '" + key + "' found in cache(s) " + context.getCacheNames());}return cached;}else {if (logger.isTraceEnabled()) {logger.trace("No cache entry for key '" + key + "' in cache(s) " + context.getCacheNames());}}}}return null;
}

CacheAspectSupport.findInCaches

@Nullable
private Object findInCaches(CacheOperationContext context, Object key,CacheOperationInvoker invoker, Method method, CacheOperationContexts contexts) {for (Cache cache : context.getCaches()) {if (CompletableFuture.class.isAssignableFrom(context.getMethod().getReturnType())) {CompletableFuture<?> result = doRetrieve(cache, key);  // 重试策略if (result != null) {return result.exceptionally(ex -> {getErrorHandler().handleCacheGetError((RuntimeException) ex, cache, key);return null;}).thenCompose(value -> (CompletableFuture<?>) evaluate((value != null ? CompletableFuture.completedFuture(unwrapCacheValue(value)) : null),invoker, method, contexts));}else {continue;}}if (this.reactiveCachingHandler != null) {Object returnValue = this.reactiveCachingHandler.findInCaches(context, cache, key, invoker, method, contexts);if (returnValue != ReactiveCachingHandler.NOT_HANDLED) {return returnValue;}}Cache.ValueWrapper result = doGet(cache, key);if (result != null) {return result;}}return null;
}

CacheAspectSupport.doGet 可以看到最终拿的就是我们在cache manager 里边配置的cache

@Nullable
protected Cache.ValueWrapper doGet(Cache cache, Object key) {try {return cache.get(key); }catch (RuntimeException ex) {getErrorHandler().handleCacheGetError(ex, cache, key);return null;  // If the exception is handled, return a cache miss}
}

2. 缓存管理：缓存的存储和取用是通过 Spring 的缓存抽象来管理的。缓存的实现可以是简单的内存缓存，也可以是分布式缓存，如 Redis 等。
3. 缓存策略：开发者可以通过注解设置不同的缓存策略，例如缓存的键、值、过期时间、条件等。

这种基于注解的缓存方式极大地简化了缓存操作，让开发者专注于业务逻辑的实现，而缓存的管理由 Spring 自动处理。

3.2 难点排查

在做demo的时候发现配置也没错，也没有说是通过本文件的方法去调用提供缓存的方法（这样不走代理，无法执行命中缓存操作），后来发现是weakkey导致的。假如说内存不够的情况下，key就会被直接清楚掉，而我电脑可分配内存很少。可能会频繁触发GC，导致cache key被清除掉了。不清楚weakReference作用的同学可以去看下我写的另一篇文章：
WeakReference浅析

@Bean
public Caffeine<Object, Object> caffeineConfig() {return Caffeine.newBuilder().maximumSize(1000).expireAfterWrite(5, TimeUnit.MINUTES)
//                .weakKeys() // 很坑会，基本上很快就把key清理掉了，缓存再也命中不了.recordStats();
}

总结

散会