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If there is no equal persistent instance in the persistence context, and a lookup in the database yields no result, a new persistent instance is created, and the state of the merged instance is copied onto the new instance. This new object is then scheduled for insertion into the database and returned by the merge() operation. An insertion also occurs if the instance you passed into merge() was a transient instance, not a detached object. The following questions are likely on your mind:

What exactly is copied from item to item2 Merging includes all value-typed properties and all additions and removals of elements to any collection. What state is item in Any detached object you merge with a persistent instance stays detached. It doesn t change state; it s unaffected by the merge operation. Therefore, item and the other two references aren t the same in Hibernate s identity scope. (The first two identity checks in the last

<target name="dotnet" depends="build-dotnet" if="dotnetapps.found"> <exec executable="${out.app}" failonerror="true" > <arg value="deployment"/> </exec> </target>

example.) However, item2 and item3 are identical references to the same persistent in-memory instance.

What is the result of this Well, we get nearly the same results as before because we are running against a local server on a Windows system, the file paths we get back are all Windows based:

Why is item3 returned from the merge() operation The merge() operation always returns a handle to the persistent instance it has merged the state into. This is convenient for the client that called merge(), because it can now either continue working with the detached item object and merge it again when needed, or discard this reference and continue working with item3. The difference is significant: If, before the Session completes, subsequent modifications are made to item2 or item3 after merging, the client is completely unaware of these modifications. The client has a handle only to the detached item object, which is now getting stale. However, if the client decides to throw away item after merging and continue with the returned item3, it has a new handle on up-to-date state. Both item and item2 should be considered obsolete after merging.

[exec] [exec] [exec] ... [exec] last search = deployment C:\jakarta-ant\docs\manual\OptionalTasks\ejb.html C:\jakarta-ant\docs\manual\OptionalTasks\serverdeploy.html C:\jakarta-ant\docs\manual\Integration\VAJAntTool.html

Merging of state is slightly more complex than reattachment. We consider it an essential operation you ll likely have to use at some point if you design your application logic around detached objects. You can use this strategy as an alternative for reattachment and merge every time instead of reattaching. You can also use it to make any transient instance persistent. As you ll see later in this chapter, this is the standardized model of Java Persistence; reattachment isn t supported. We haven t paid much attention so far to the persistence context and how it manages persistent objects.

This is exactly what we wanted to call our Java web service from a C# client. Now that we have this dual-language client import-and-build process working, we can keep using it as we extend the classes.

The persistence context does many things for you: automatic dirty checking, guaranteed scope of object identity, and so on. It s equally important that you know some of the details of its management, and that you sometimes influence what goes on behind the scenes. Controlling the persistence context cache The persistence context is a cache of persistent objects. Every object in persistent state is known to the persistence context, and a duplicate, a snapshot of each persistent instance, is held in the cache. This snapshot is used internally for dirty checking, to detect any modifications you made to your persistent objects. Many Hibernate users who ignore this simple fact run into an OutOfMemoryException. This is typically the case when you load thousands of objects in a Session but never intend to modify them. Hibernate still has to create a snapshot of

each object in the persistence context cache and keep a reference to the managed object, which can lead to memory exhaustion. (Obviously, you should execute a bulk data operation if you modify thousands of objects we ll get back to this kind of unit of work in chapter 12, section 12.2, Bulk and batch operations. ) The persistence context cache never shrinks automatically. To reduce or regain the memory consumed by the persistence context in a particular unit of work, you have to do the following: