springBoot整合RedisCacheManager + CacheManager +@Cacheable 实现注解化缓存管理_spring boot 中redisconfig的rediscachemanager

1.redisConfig

package com.hc.config.redis;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.StringRedisSerializer;

import java.time.Duration;
import java.util.HashMap;
import java.util.Map;

@EnableCaching
@Configuration
public class RedisConfig {

    /**
     * 过期时间1天
     */
    private final Duration timeToLive = Duration.ofDays(1);

    private final StringRedisSerializer keySerializer = new StringRedisSerializer();

    /**
     * 使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）
     */
    private final Jackson2JsonRedisSerializer valueSerializer = new Jackson2JsonRedisSerializer(Object.class);

    /**
     * 代码块，会优先执行
     * 用来设置Jackson2JsonRedisSerializer
     */
    {
        ObjectMapper objectMapper = new ObjectMapper();
        //设置所有访问权限以及所有的实际类型都可序列化和反序列化
        objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        // 指定序列化输入的类型，类必须是非final修饰的
        objectMapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance,
                ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);

        //下面两行解决Java8新日期API序列化问题
        objectMapper.disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS);
        objectMapper.registerModule(new JavaTimeModule());

        valueSerializer.setObjectMapper(objectMapper);
    }

    /**
     * 在SpringBoot2.0之后，spring容器自动的生成了StringRedisTemplate和RedisTemplate<Object,Object>，可以直接注入
     * 但是在实际使用中，大多不会直接使用RedisTemplate<Object,Object>，而是会对key,value进行序列化，所以我们还需要新增一个配置类
     * 换句话说，由于原生的redis自动装配，在存储key和value时，没有设置序列化方式，故自己创建redisTemplate实例
     *
     * @param factory
     * @return
     */
    @Bean(name = "redisTemplate")
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {

        RedisTemplate<String, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(factory);

        // key采用String的序列化方式
        template.setKeySerializer(keySerializer);
        // hash的key也采用String的序列化方式
        template.setHashKeySerializer(keySerializer);
        // value序列化方式采用jackson
        template.setValueSerializer(valueSerializer);
        // hash的value序列化方式采用jackson
        template.setHashValueSerializer(valueSerializer);
        template.afterPropertiesSet();
        return template;
    }

    @Bean(name = "cacheManager")
    public RedisCacheManager cacheManager(RedisConnectionFactory factory) {
        // 配置序列化（解决乱码的问题），通过config对象对缓存进行自定义配置
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                // 设置缓存的默认过期时间
                .entryTtl(timeToLive)
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(keySerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(valueSerializer))
                // 不缓存空值
                .disableCachingNullValues();

        //缓存配置
        Map<String, RedisCacheConfiguration> cacheConfig = new HashMap<>();
        //自定义缓存名，后面使用的@Cacheable的CacheName
        //缓存所有类别
        cacheConfig.put("productCategory", config);
        //缓存所有省
        cacheConfig.put("province", config);
        //缓存所有市
        cacheConfig.put("city", config);
        //缓存所有乡镇
        cacheConfig.put("country", config);

        //根据redis缓存配置和reid连接工厂生成redis缓存管理器
        RedisCacheManager redisCacheManager = RedisCacheManager.builder(factory)
                .cacheDefaults(config)
                .transactionAware()
                .withInitialCacheConfigurations(cacheConfig)
                .build();
        return redisCacheManager;
    }

}
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2.要缓存的实体类的Config

package com.hc.config.redis;

import com.hc.constant.GlobalConstant;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Bean;
import org.springframework.stereotype.Component;

import java.lang.reflect.Field;

@Component
public class RedisCityConfig {

    /**
     * 缓存键自动生成器
     *
     * @return
     */
    @Bean(name = "cityKeyGen")
    public KeyGenerator keyGenerator() { //设置自定义key{ClassName + methodName + params}
        return (target, method, params) -> {
            StringBuilder sb = new StringBuilder();
            sb.append(GlobalConstant.redis.CITY_LIST);
            sb.append("(");
            for (int i = 0; i < params.length; i++) {
                sb.append(params[i].toString());
                if (i != (params.length - 1)) {
                    sb.append(",");
                }
            }
            sb.append(")");
            return sb.toString();
        };
    }

    /**
     * 自定义keyGenerator，Key生成器
     *
     * @return
     */
    @Bean(name = "cityUpdateByIdKeyGen")
    public KeyGenerator updateByIdkeyGenerator() {
        return (target, method, params) -> {
            StringBuilder sb = new StringBuilder();
            sb.append(GlobalConstant.redis.CITY_LIST);
            sb.append("(");
            try {
                Field id = params[0].getClass().getDeclaredField("id");
                id.setAccessible(true);
                sb.append(id.get(params[0]).toString());
            } catch (IllegalAccessException e) {
                e.printStackTrace();
            } catch (NoSuchFieldException e) {
                e.printStackTrace();
            }
            sb.append(")");
            return sb.toString();
        };
    }

    /**
     * 自定义keyGenerator，Key生成器
     *
     * @return
     */
    @Bean(name = "cityDeleteByIdKeyGen")
    public KeyGenerator deleteByIdkeyGenerator() {
        return (target, method, params) -> {
            StringBuilder sb = new StringBuilder();
            sb.append(GlobalConstant.redis.CITY_LIST);
            sb.append("(");
            for (int i = 0; i < params.length; i++) {
                sb.append(params[i].toString());
                if (i != (params.length - 1)) {
                    sb.append(",");
                }
            }
            sb.append(")");
            return sb.toString();
        };
    }

}
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3.写service

package com.hc.service.impl;

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.hc.domain.City;
import com.hc.mapper.CityMapper;
import com.hc.service.CityService;
import org.springframework.cache.annotation.CacheConfig;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;

import java.util.List;

/**
 * @author hecai
 */
@Service
@CacheConfig(cacheManager = "cacheManager", cacheNames = "city")
public class CityServiceImpl extends ServiceImpl<CityMapper, City> implements CityService {

    @Override
    public int updateBatchSelective(List<City> list) {
        return baseMapper.updateBatchSelective(list);
    }

    @Override
    public int batchInsert(List<City> list) {
        return baseMapper.batchInsert(list);
    }

    @Override
    @Cacheable(keyGenerator = "cityKeyGen")
    public List<City> findAllByProvinceId(Integer id) {
        QueryWrapper<City> queryWrapper = new QueryWrapper();
        queryWrapper.eq("province_id", id);
        return baseMapper.selectList(queryWrapper);
    }
}

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注意：keyGenerator = “cityKeyGen” 会去先执行 RedisCityConfig里面的对应的方法，回去redis里面找到对应的key看是否存在，不存在才会去数据库查。