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Log shipping operates by taking a continuous chain of transaction log backups against the primary database and applying them to the secondary database. To ensure that transaction log backups can be applied to the secondary database, you must ensure that both primary and secondary databases are synchronized. This lesson explains the process required to initialize a log shipping session.

If there are no free threads or fibers available and the max worker threads value has already been reached, the instance of SQL Server blocks the new task until a worker thread is freed After a worker is associated with a task, it remains associated with the task until the task is completed; for example, until the last of the result sets generated by the batch has been returned to the client At that time, the worker thread is freed and can be paired with the tasks associated with the next batch The database engine must actively perform work for a connection only from the time a batch is received until the results have been returned to the client During this period, there might be times when the batch does not require active processing.

After this lesson, you will be able to:

Because the database engine typically processes a large number of locks, capturing the Locks event classes during a trace can incur significant overhead and result in large trace files or tables.

Getting a log shipping architecture running is a fairly straightforward process that does not incur any downtime on the primary database.

For example, there might be times during which the database engine must wait for a read operation to retrieve the data required for the current query, or must wait for another batch to release a lock The task-to-worker association is maintained even when the task is blocked on some resource Whenever the database engine starts to process a task associated with a batch, it schedules the worker thread associated with the task to perform the work After the worker thread has completed the work for the task, an instance of SQL Server dispatches the worker thread to.

The only difference between using custom-coded log shipping and using the built-in components that ship with SQL Server involves variances related to business requirements. Custom-coded log shipping generally accounts for additional requirements of a specific business environment. Both methods operate on the same principles: continuously restoring transaction logs to a secondary database. To simplify the explanation of log shipping, we confine the remaining two lessons in this chapter to the built-in components that ship with SQL Server 2005.

the next task that is ready to work. A SPID remains constant for a connection for the life of the connection. Long-running connections might have their individual batch tasks executed by many different worker threads. For example, the tasks from the first batch might be executed by worker1, but the tasks from the second batch could be executed by worker2. Some statements can be processed in parallel. In this case, a batch might have multiple tasks that are executed by multiple worker threads at the same time.

The basic process for initializing log shipping is as follows: 1. Because the backups need to be accessed across servers, you need to create a share on both the primary and secondary. 2. Create jobs to back up transaction logs, copy logs to the secondary, and restore the logs. 3. Restore full backup to the secondary database. 4. Restore all subsequent transaction logs. 5. Start up jobs to automate restoration of the logs. 6. Copy any instance-level objects that the secondary database depends on to ser vice applications.

The Lock:Deadlock Chain event class is produced for each participant in a deadlock. You can use this event class to monitor when deadlock conditions occur and to determine whether deadlocks are significantly affecting the performance of your application and which objects are involved. You can examine the application code that modifies these objects to determine whether changes to minimize deadlocks can be made. This event class returns a large amount of information in its data columns, including the security identifier (SID) of the user, the type of lock, and the owner (transaction, cursor session, and so on) of the process.

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