The second level cache can also cache your query result.
二级缓存也能缓存查询结果。
Now let us discuss the issue with the query optimization for the objects which are configured for second level cache.
现在我们来谈谈关于二级缓存的查询优化问题。
This provides a method of securing many web service solutions; an object level cache lets you do it all quickly and easily.
这提供了一个使许多Web服务解决方案安全的方法；一个对象级别的高速缓存能使您迅速且简单地完成。
You might also be able to use approaches like a two-level cache to improve both the remote cache hit rate and the retrieval rate.
您可能还能够使用二级缓存等方法同时提高远缓存访问率和检索率。
Most caches are implemented using the Singleton pattern involving a static reference to a top level cache class as shown in this example.
使用Singleton模式实现的大多数缓存都涉及本例所示的对顶级cache类的静态引用。
If a distributed cache is desired, we recommend using one of the WebSphere-provided distributed cache implementations. These can be used as a second level cache with hibernate.
如果需要分布式缓存，我们建议使用WebSphere提供的分布式缓存实现之一。
Generally, it does this by maintaining awareness or state of the mapped entity class instances it is responsible for by keeping a first-level cache of instances, valid for a single thread.
通常，它通过保留对单个线程有效的一级缓存实例，维护它负责的映射实体类实例的可识别性或状态，从而做到这一点。
If we try to eager fetch the department entity then for every fetch of same department the database is hit for department information even though it is available in our second level cache.
如果对department实体采取预先抓取，那么对于同样的department实例，纵使它位于二级缓存中，每次也都需要查询数据库。
If we try to eager fetch the department entity then for every fetch of same department the database is hit for department information even though it is available in our second level cache.
如果对department实体采取预先抓取，那么对于同样的department实例，纵使它位于二级缓存中，每次也都需要查询数据库。
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