Spring與Redis集成的正確方式流程詳解

更新時(shí)間：2023年06月20日 14:19:40 作者：右耳菌

這篇文章主要為大家介紹了Spring與Redis集成的正確方式流程詳解，有需要的朋友可以借鑒參考下，希望能夠有所幫助，祝大家多多進(jìn)步，早日升職加薪

1. 引入RedisTemplate

據(jù)以前的情況，我們?cè)贘ava中使用Redis時(shí)一般是使用Jedis來(lái)操作的，大致的一段代碼如下所示

    @Override
    public User findUserById(Integer id) {
        User user = null;
        Jedis jedis = null;
        try {
            jedis = jedisPool.getResource();
            String userStr = jedis.get("user_" + id); // 嘗試獲取數(shù)據(jù)
            if (userStr != null && !userStr.isEmpty()) { // 如果獲取到有效數(shù)據(jù)，則轉(zhuǎn)換后返回
                user = JSONObject.parseObject(userStr, User.class);
            } else {// 如果沒有獲取到數(shù)據(jù)，則查詢數(shù)據(jù)庫(kù)返回
                user = userMapper.findUserById(id);
                if (user != null) jedis.set("user_" + id, JSONObject.toJSONString(user)); // 設(shè)置到redis中
            }
        } finally {
            // 記得關(guān)閉Jedis，因?yàn)檫@里使用的是JedisPool，所以這里的關(guān)閉并不是直接關(guān)閉連接，而是釋放，以供其他的業(yè)務(wù)使用
            if (jedis != null) jedis.close();
        }
        return user;
    }

上邊的這樣的一段代碼其實(shí)是有些臃腫的，但是如果我們引入RedisTemplate，其實(shí)會(huì)簡(jiǎn)化不少。

maven 引入 spring-data-redis

    <dependency>
      <groupId>redis.clients</groupId>
      <artifactId>jedis</artifactId>
      <version>3.9.0</version>
    </dependency>
    <dependency>
      <groupId>org.springframework.data</groupId>
      <artifactId>spring-data-redis</artifactId>
      <version>2.2.13.RELEASE</version>
    </dependency>

將RedisTemplate 加入Bean容器中，讓Spring進(jìn)行管理。

    @Bean
    public RedisConnectionFactory redisConnectionFactory() {
        RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration();
        redisStandaloneConfiguration.setHostName(host);
        redisStandaloneConfiguration.setPort(port);
        RedisConnectionFactory redisConnectionFactory = new JedisConnectionFactory(redisStandaloneConfiguration);
        return redisConnectionFactory;
    }
    @Bean
    public RedisTemplate redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate redisTemplate = new RedisTemplate();
        redisTemplate.setConnectionFactory(redisConnectionFactory);
        //設(shè)置key值的序列化方式，默認(rèn)是JDK的形式
        redisTemplate.setKeySerializer(StringRedisSerializer.UTF_8);
        return redisTemplate;
    }

如果使用RedisTemplate的替換的話，會(huì)簡(jiǎn)潔很多。

    @Autowired
    private RedisTemplate redisTemplate;
    @Override
    public User findUserById(Integer id) {
        Object result = redisTemplate.opsForValue().get("user_" + id);
        if (result != null) return (User) result;
        User user = userMapper.findUserById(id);
        // 設(shè)置到redis中
        if (user != null) redisTemplate.opsForValue().set("user_" + id, user);
        return user;
    }

大概看一下關(guān)于RedisTemplate的方法

看了以上的內(nèi)容，可以看到引入了RedisTemplate其實(shí)已經(jīng)很簡(jiǎn)潔了，但是明顯還不夠，下面我們將考慮引入 “注解”

2. 引入注解

開啟緩存 @EnableCaching
AppConfig.java

@Configuration
@EnableCaching
public class AppConfig {
  ...
}

引入@Cacheable，表示這個(gè)方法將會(huì)訪問(wèn)緩存，如果無(wú)法命中緩存的話，會(huì)將方法返回的值存入redis，假設(shè)有注解為 @Cacheable(value="user", key = "#id")，那么生成的key值為 user::{id}，即如果id為1 那么生成的 key就是 user::1

    @Override
    @Cacheable(value="user", key = "#id")
    // 這里返回的值會(huì)被存放到redis，key-value格式，其中生成的key值(假設(shè)id為1)： user::1
    public User findUserById(Integer id) {
        User user = userMapper.findUserById(id);
        return user;
    }

但是這樣還不夠，因?yàn)镾pring并不清楚緩存的方式是什么，這就涉及到CacheManager 了

設(shè)置CacheManager，在AppConfig中加入以下內(nèi)容

    @Bean
    public RedisConnectionFactory redisConnectionFactory() {
        RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration();
        redisStandaloneConfiguration.setHostName(host); // 這里是redis的ip
        redisStandaloneConfiguration.setPort(port);// 這里是redis的端口
        // 自適應(yīng)集群變化
        RedisConnectionFactory redisConnectionFactory = new JedisConnectionFactory(redisStandaloneConfiguration);
        return redisConnectionFactory;
    }
    @Bean
    public RedisCacheConfiguration redisCacheConfiguration() {
        RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig()
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(RedisSerializer.string()))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(RedisSerializer.json()));
        return redisCacheConfiguration;
    }
    @Bean
    public RedisCacheWriter redisCacheWriter(RedisConnectionFactory redisConnectionFactory) {
        RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory);
        return redisCacheWriter;
    }
    @Bean
    public CacheManager cacheManager(RedisCacheWriter redisCacheWriter, RedisCacheConfiguration redisCacheConfiguration) {
        CacheManager cacheManager = new RedisCacheManager(redisCacheWriter, redisCacheConfiguration);
        ((RedisCacheManager) cacheManager).isTransactionAware();
        return cacheManager;
    }

3. 擴(kuò)展 - 自行通過(guò)注解和AOP實(shí)現(xiàn)緩存

引入AOP相關(guān)的包

    <dependency>
      <groupId>org.springframework</groupId>
      <artifactId>spring-aop</artifactId>
      <version>5.3.22</version>
    </dependency>
    <dependency>
      <groupId>org.springframework</groupId>
      <artifactId>spring-aspects</artifactId>
      <version>5.3.22</version>
    </dependency>
    <!-- Jackson JSON Processor -->
    <dependency>
      <groupId>com.fasterxml.jackson.core</groupId>
      <artifactId>jackson-core</artifactId>
      <version>2.9.8</version>
    </dependency>
    <dependency>
      <groupId>com.fasterxml.jackson.core</groupId>
      <artifactId>jackson-databind</artifactId>
      <version>2.9.8</version>
    </dependency>
    <dependency>
      <groupId>com.fasterxml.jackson.core</groupId>
      <artifactId>jackson-annotations</artifactId>
      <version>2.9.8</version>
    </dependency>
    <dependency>
      <groupId>com.alibaba</groupId>
      <artifactId>fastjson</artifactId>
      <version>1.2.28</version>
    </dependency>

創(chuàng)建@CustomCache

package cn.lazyfennec.cache.redis.annotation;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
@Target(ElementType.METHOD)
@Retention(RetentionPolicy.RUNTIME)
public @interface CustomCache {
    /**
     * key的規(guī)則，可以使用springEL表達(dá)式，可以使用方法執(zhí)行的一些參數(shù)
     */
    String key();
    /**
     *  類似前綴
     * @return
     */
    String value();
}

修改AppConfig

@EnableAspectJAutoProxy // 開啟AOP自動(dòng)代理
public class AppConfig {
    @Bean
    public RedisConnectionFactory redisConnectionFactory() {
        RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration();
        redisStandaloneConfiguration.setHostName(host);
        redisStandaloneConfiguration.setPort(port);
        // 自適應(yīng)集群變化
        RedisConnectionFactory redisConnectionFactory = new JedisConnectionFactory(redisStandaloneConfiguration);
        return redisConnectionFactory;
    }
    @Bean
    public RedisTemplate redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate redisTemplate = new RedisTemplate();
        redisTemplate.setConnectionFactory(redisConnectionFactory);
        redisTemplate.setKeySerializer(StringRedisSerializer.UTF_8);
        redisTemplate.setValueSerializer(StringRedisSerializer.UTF_8);
        return redisTemplate;
    }
}

創(chuàng)建 CustomCacheAspect

package cn.lazyfennec.cache.redis.annotation.aop;
import cn.lazyfennec.cache.redis.annotation.CustomCache;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Pointcut;
import org.aspectj.lang.reflect.MethodSignature;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.core.DefaultParameterNameDiscoverer;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.expression.EvaluationContext;
import org.springframework.expression.Expression;
import org.springframework.expression.ExpressionParser;
import org.springframework.expression.spel.standard.SpelExpressionParser;
import org.springframework.expression.spel.support.StandardEvaluationContext;
import org.springframework.stereotype.Component;
import java.lang.reflect.Method;
/**
 * @Author: Neco
 * @Description:
 * @Date: create in 2022/8/24 22:18
 */
@Component
@Aspect
public class CustomCacheAspect {
    @Autowired
    private RedisTemplate redisTemplate;
    @Pointcut("@annotation(cn.lazyfennec.cache.redis.annotation.CustomCache)")
    public void cachePointcut() {
    }
    @Around("cachePointcut()")
    public Object doCache(ProceedingJoinPoint joinPoint) {
        Object obj = null;
        try {
            MethodSignature signature = (MethodSignature) joinPoint.getSignature();
            Method method = joinPoint.getTarget().getClass().getMethod(signature.getName(), signature.getMethod().getParameterTypes());
            CustomCache customCache = method.getAnnotation(CustomCache.class);
            String cacheKey = customCache.key();
            String cacheValue = customCache.value();
            // 創(chuàng)建解析器
            ExpressionParser parser = new SpelExpressionParser();
            Expression expression = parser.parseExpression(cacheKey);
            EvaluationContext context = new StandardEvaluationContext(); // 參數(shù)
            // 添加參數(shù)
            Object[] args = joinPoint.getArgs();
            DefaultParameterNameDiscoverer discover = new DefaultParameterNameDiscoverer();
            String[] parameterNames = discover.getParameterNames(method);
            for (int i = 0; i &lt; parameterNames.length; i++) {
                context.setVariable(parameterNames[i], args[i].toString());
            }
            // 解析
            String key = cacheValue + "::" + expression.getValue(context).toString();
            // 1、 判定緩存中是否存在
            obj = redisTemplate.opsForValue().get(key);
            if (obj != null) return obj;
            // 2、不存在則繼續(xù)行方法
            obj = joinPoint.proceed();
            // 3、 同步存儲(chǔ)value到緩存。
            redisTemplate.opsForValue().set(key, obj);
        } catch (NoSuchMethodException e) {
            e.printStackTrace();
        } catch (Throwable throwable) {
            throwable.printStackTrace();
        }
        return obj;
    }
}

新建方法 getUserNameById

    @RequestMapping("/custom/name/{id}")
    @ResponseBody
    public String getUserNameById(@PathVariable Integer id) {
        return userService.getUserNameById(id);
    }

實(shí)際實(shí)現(xiàn)方法 getUserNameById，使用方式

    @Override
    @CustomCache(value = "custom_user", key = "#id")
    public String getUserNameById(Integer id) {
        return userMapper.findUserNameById(id);
    }

以上就是Spring與Redis集成的正確方式詳解的詳細(xì)內(nèi)容，更多關(guān)于Spring Redis集成方式的資料請(qǐng)關(guān)注腳本之家其它相關(guān)文章！

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