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https://spring.hhui.top/spring-blog/2023/03/09/230309-SpringBoot%E7%B3%BB%E5%88%97%E4%B9%8B%E5%86%85%E5%AD%98%E7%BC%93%E5%AD%98Caffiene%E8%87%AA%E5%AE%9A%E4%B9%89CacheBean/
上一篇介绍了Caffiene整合Spring的缓存注解@Cacheable,在这篇示例中,所有的缓存公用,但是实际的场景中,我们可能会更希望针对不同的场景,配置不同的缓存(比如我的关键数据,虽然访问频率可能没那么高,但是每次实际读取的成本很高,又不怎么变动,我希望可以更长久的缓存;不希望这些数据因为缓存的淘汰策略被其他的热点数据给淘汰掉),那么可以怎么处理呢? 接下来我们来看一下两种不同的方式,来
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https://spring.hhui.top/spring-blog/2023/03/09/230309-SpringBoot%E7%B3%BB%E5%88%97%E4%B9%8B%E5%86%85%E5%AD%98%E7%BC%93%E5%AD%98Caffiene%E8%87%AA%E5%AE%9A%E4%B9%89CacheBean/
上一篇介绍了Caffiene整合Spring的缓存注解@Cacheable,在这篇示例中,所有的缓存公用,但是实际的场景中,我们可能会更希望针对不同的场景,配置不同的缓存(比如我的关键数据,虽然访问频率可能没那么高,但是每次实际读取的成本很高,又不怎么变动,我希望可以更长久的缓存;不希望这些数据因为缓存的淘汰策略被其他的热点数据给淘汰掉),那么可以怎么处理呢? 接下来我们来看一下两种不同的方式,来
The text was updated successfully, but these errors were encountered: