SpringBoot之结合Redis
2020-08-06 14:08•编程•1241人阅读
之前在上软件架构与中间件的时候有不少同学在将自己的SpringBoot项目中加入Redis的时候遇到了问题,突然间想起来还是补上记录一下吧,供后来的同学参考
首先在pom.xml中添加如下依赖:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
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然后在config文件夹下加入对象序列化的类:
package com.hit.software.sale.config;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
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.core.StringRedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import java.time.Duration;
@Configuration
@EnableCaching
public class RedisCacheConfig extends CachingConfigurerSupport {
private long expiration;
@Bean
CacheManager cacheManager(RedisConnectionFactory connectionFactory) {
// 配置序列化(解决乱码的问题)
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofSeconds(expiration))
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerialize()))
.disableCachingNullValues();
return RedisCacheManager.builder(connectionFactory).cacheDefaults(config).build();
}
@Bean
public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory) {
StringRedisTemplate template = new StringRedisTemplate(factory);
template.setValueSerializer(jackson2JsonRedisSerialize());
template.afterPropertiesSet();
return template;
}
private Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerialize() {
Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);
ObjectMapper om = new ObjectMapper();
om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om);
return jackson2JsonRedisSerializer;
}
}
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最后就是基本的业务逻辑啦:
package com.hit.software.sale.service.impl;
import com.hit.software.sale.dao.GoodsDao;
import com.hit.software.sale.domain.GoodsDO;
import com.hit.software.sale.service.GoodsService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.annotation.CacheConfig;
import org.springframework.cache.annotation.CacheEvict;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.cache.annotation.Caching;
import org.springframework.stereotype.Service;
import java.util.List;
import java.util.Map;
@Service
@CacheConfig(cacheNames = "goodsCache")
public class GoodsServiceImpl implements GoodsService {
@Autowired
private GoodsDao goodsDao;
@Override
@Cacheable(key = "#id") //这里的key表示将数据存入redis时的键,# 表示从参数中取值
public GoodsDO get(Integer id) {
return goodsDao.get(id);
}
@Override
@Cacheable("goodsList") //如果不写key,则代表value,表示在value开启一个对象,在此对象下储存
public List<GoodsDO> list(Map<String, Object> map) {
return goodsDao.list(map);
}
@Override
@Cacheable("goodsListCount")
public int count(Map<String, Object> map) {
return goodsDao.count(map);
}
@Override
@Caching(evict = {@CacheEvict(key = "#goods.id"), //这里是删除,当更新时删除原数据重新缓存,key与上述一致
@CacheEvict(value = "goodsList", allEntries = true),
@CacheEvict(value = "goodsListCount", allEntries = true)})
public int save(GoodsDO goods) {
return goodsDao.save(goods);
}
@Override
@Caching(evict = {@CacheEvict(key = "#goods.id"),
@CacheEvict(value = "goodsList", allEntries = true),
@CacheEvict(value = "goodsListCount", allEntries = true)})
public int update(GoodsDO goods) {
return goodsDao.update(goods);
}
@Override
@Caching(evict = {@CacheEvict(key = "#id"),
@CacheEvict(value = "goodsList", allEntries = true),
@CacheEvict(value = "goodsListCount", allEntries = true)})
public int remove(Integer id) {
return goodsDao.remove(id);
}
@Override
public int batchRemove(Integer[] ids) {
return goodsDao.batchRemove(ids);
}
}
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