When it comes to DML-style HQL ( In this case all Foo instances are evicted from L2 cache, while other cached content remains unchanged.However, when it comes to native SQL DML statements, Hibernate cannot guess what is being updated, so it invalidates the entire second level cache: Query native Query = entity Manager.create Native Query("update FOO set ... SQLQuery.class)Synchronized Entity Class(Foo.class); native Query.execute Update(); In this article we looked at how to set up Hibernate second-level cache.
On the other hand, second-level cache is Once the instance is stored in the persistence context (first-level cache), it is returned from there in all subsequent calls within the same session until the session is closed or the instance is manually evicted from the persistence context.
Also, the loaded instance state is stored in L2 cache if it was not there already.
The idea is to make it easy to put data into a central cache so that it can easily be tuned for the entire server and the entire cluster.
Over the last few months we’ve had a whole bunch of people doing a whole bunch of Hibernate performance tuning.
This is a Maven based project, so it should be easy to import and run as it is.
This is an effort to provide an efficient cluster-wide cache for Sakai.
Performance gains can be significant if read/write ratios of cached content are high, especially for entities which consist of large object graphs.
In this article we explore Hibernate second-level cache.
In most cases, Hibernate leaves cache management duties like these to cache providers, as they are indeed specific to each cache implementation.