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;
}
}
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();
};
}
}
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);
}
}
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。