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In this case, it does matter whether changes are made before or after the object has been reattached. Changes made before the call to lock() aren t propagated to the database, you use it only if you re sure the detached instance hasn t been modified. This method only guarantees that the object s state changes from detached to persistent and that Hibernate will manage the persistent object again. Of course, any modifications you make to the object once it s in managed persistent state require updating of the database. We discuss Hibernate lock modes in the next chapter. By specifying LockMode.NONE here, you tell Hibernate not to perform a version check or obtain any database-level locks when reassociating the object with the Session. If you specified LockMode.READ, or LockMode.UPGRADE, Hibernate would execute a SELECT statement in order to perform a version check (and to lock the row(s) in the database for updating).

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SELECT scheduler_id, cpu_id, current_tasks_count, runnable_tasks_count, pending_disk_io_count, current_workers_count, active_workers_count, work_queue_count, load_factor FROM sys.dm_os_schedulers WHERE scheduler_id < 255;

placed in the Location box. A Browse button will also appear, enabling a user to browse the location hierarchy for printers in other locations. This powerful feature simplifies printer administration and setup considerably. However, it obviously requires careful planning on the back end to ensure that all subnets are defined, and that a reasonable, hierarchical location naming convention has been applied consistently. More information about this feature is available in the online Help and Support Center.

Making a detached object transient Finally, you can make a detached instance transient, deleting its persistent state from the database, as in listing 9.8.

Listing 9.8 Making a detached object transient using delete()

The output of this query is shown in Figure B-9.

Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); session.delete(item); tx.commit(); session.close();

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Windows Server 2003 supports an additional set of functionality through the Internet Printing Protocol (IPP), which enables users to connect to printers and send print jobs over encapsulated Hypertext Transfer Protocol (HTTP). Internet printing also gives administrators the option to manage and configure printers using any variety of Internet browsers and platforms.

One very interesting column in the result set is load factor. Load factor indicates the perceived load on a scheduler. This value is used to determine whether a new task should be put on this scheduler or another scheduler. This value is useful for debugging purposes when it appears that schedulers are not evenly loaded. In SQL Server 2000, a task is routed to a particular scheduler. However, in SQL Server 2005, the routing decision is made based on the load on the scheduler. SQL Server 2005 also uses a load factor of nodes and schedulers to

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This means you don t have to reattach (with update() or lock()) a detached instance to delete it from the database. In this case, the call to delete() does two things: It reattaches the object to the Session and then schedules the object for deletion, executed on tx.commit(). The state of the object after the delete() call is removed. Reattachment of detached objects is only one possible way to transport data between several Sessions. You can use another option to synchronize modifications to a detached instance with the database, through merging of its state. Merging the state of a detached object Merging of a detached object is an alternative approach. It can be complementary to or can replace reattachment. Merging was first introduced in Hibernate to deal with a particular case where reattachment was no longer sufficient (the old name for the merge() method in Hibernate 2.x was saveOrUpdateCopy()). Look at the following code, which tries to reattach a detached object:

item.getId(); // The database identity is "1234" item.setDescription(...); Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); Item item2 = (Item) session.get(Item.class, new Long(1234)); session.update(item); // Throws exception! tx.commit(); session.close();

help determine the best location to acquire resources When a task is enqueued, the load factor is increased When a task is completed, the load factor is decreased Using the load factors helps SQLOS to evenly distribute system workload On multiprocessor systems, performance problems can arise due to the way the SQL Optimizer chooses to parallelize a particular query plan When a query is first examined by the optimizer, a decision is made regarding whether the query should be run serially or there are instead portions of the query that can run in parallel The number of query portions that the optimizer chooses to run in parallel is known as the degree of parallelism SQL Server 2005 automatically detects the best degree of parallelism for each query It does this based on the following criteria, which are evaluated in the following order: 1.

Given is a detached item object with the database identity 1234. After modifying it, you try to reattach it to a new Session. However, before reattachment, another instance that represents the same database row has already been loaded into the

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