概述
在秒杀开始前通常要进行将数据加载到缓存中,也叫缓存预热
demo
Redis序列化配置,通常有两种方式,通过配置类进行序列化配置,
@Configuration
public class RedisConfig {@Autowiredprivate RedisConnectionFactory factory;@Beanpublic RedisTemplate<String, Object> redisTemplate() {RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();redisTemplate.setKeySerializer(new StringRedisSerializer());redisTemplate.setHashKeySerializer(new StringRedisSerializer());redisTemplate.setHashValueSerializer(new StringRedisSerializer());redisTemplate.setValueSerializer(new StringRedisSerializer());redisTemplate.setConnectionFactory(factory);return redisTemplate;}}
通过PostConstruct进行序列化配置
@Autowiredprivate RedisTemplate<String,String> redisTemplate;@PostConstructpublic void init() {RedisSerializer redisSerializer = new StringRedisSerializer();redisTemplate.setKeySerializer(redisSerializer);redisTemplate.setValueSerializer(redisSerializer);redisTemplate.setHashKeySerializer(redisSerializer);redisTemplate.setHashValueSerializer(redisSerializer);}
通常推荐第一种,全局的序列化配置,只需要配置一次即可在任何地方使用,第二种则是出现RedisTeplate的地方都要配置一次init中的代码
缓存预热类,实现ApplicationRunner接口,在程序启动时的时候就会加载该类,将数据写入Redis中,即可实现缓存预热
@Component
public class RedisPreHeat implements ApplicationRunner {@Autowiredprivate IStockService iStockService;@Autowiredprivate RedisTemplate redisTemplate;@Overridepublic void run(ApplicationArguments args) throws Exception {Stock stock =iStockService.getOne(new QueryWrapper<Stock>().lambda().eq(Stock::getProductId,9));redisTemplate.delete("Stock:Pre:Hot");redisTemplate.opsForValue().set("Stock:Pre:Hot",String.valueOf(stock.getCount()));}
}
数据库信息如下:
数据库中数据与缓存中数据保存一直的话,可以考虑定时任务获取缓存中的数据更新到mysql中,往后再做实现