Validating domain objects hibernate part 5
With hibernate it is important to understand what exactly is going on under the covers.At every commit boundary it will attempt to flush all changes to objects in the current session regardless of whether or not the changes where made in the current transaction or any transaction at all for that matter.The example applications of this blog post use Hibernate Validator 4.2.0 which is the reference implementation of the Bean Validation API (JSR-303).Let’s start by taking a look at the DTO class used in this blog post.
That might put your operations into separate sessions so you don't have to deal with the 1st level cache issues.
go back to edit screen transaction 2 (read only) load form backing objects from db transaction 2 end go to view else transaction 3 session.update(foo) transaction 3 end the problem we have is if the validation fails foo is marked "dirty" in the hibernate session (since we use Open Session In View we only have one session throughout the http request), when we load the form backing objects (like a list of some entities using an HQL query), hibernate before performing the query checks if there are dirty objects in the session, it sees that foo is and flushes it, when transaction 2 is committed the updates are written to the database.
The problem is that even though it is a read only transaction and even though foo wasn't updated in transaction 2 hibernate doesn't have knowledge of which object was updated in which transaction and doesn't flush only objects from that transaction. did somebody ran into similar problem before Update: this post sheds some more light on the problem: You can run a get on foo to put it into the hibernate session, and then replace it with the object you created elsewhere.
We will refactor a simple issue tracking application, with typical layer segregation, to one modeled according to domain driven tactical design patterns. There are several business operations you can do using it — all through REST API and all fully covered by integration tests (see tests here).
You can: Our first implementation is a very common one.
In our last post we took a closer look into the difference between an application with anemic model and one designed with rules of DDD (Domain Driven Design).