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-- Update columns in the base table UPDATE Person.EmailAddress SET EmailAddress = i.EmailAddress FROM inserted i WHERE i.BusinessEntityID = Person.EmailAddress.BusinessEntityID; -- Set flag to indicate success SET @UpdateSuccessful = N'Y'; END; Finally, if no updatable columns were specified by the UPDATE statement that fired the trigger, an error is raised and the transaction is rolled back: -- If the update was not successful, raise an error and roll back the -- transaction IF @UpdateSuccessful = N'N' RAISERROR('Must specify updatable columns.', 10, 127); Listing 7-11 demonstrates a simple UPDATE against the Sales.vIndividualCustomer view with the INSTEAD OF trigger from Listing 7-10 created on it. The result is shown in Figure 7-5. Listing 7-11. Updating a View Through an INSTEAD OF Trigger UPDATE Sales.vIndividualCustomer SET FirstName = N'Dave', MiddleName = N'Robert', EmailAddress = N'dave.robinett@adventure-works.com' WHERE BusinessEntityID = 1699;

Many environments will want to save all those iChats for users. You can configure the server to do so, but the iChat client can also perform this task. To enable transcripts, open iChat, and click the iChat menu followed by Preferences. Next, click Messages, check the box for Automatically Save Chat Transcripts, and select the location (see Figure 11 8). Then, close the Preferences dialog. That s it.

Every SQL Server database has its own associated transaction log. The transaction log provides recoverability in the event of failure, and ensures the atomicity of transactions. The transaction log accumulates all changes to the database so that database integrity can be maintained in the event of an error or other problem. Because of this arrangement, all SQL Server databases consist of at least two files: a database file with an .mdf extension and a transaction log with an .ldf extension.

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Microsoft defines a well-connected site as one where all machines in the site are connected by at least a 128K dedicated connection. But if you find that a 128K link is getting saturated by replication traffic, there s nothing stopping you from configuring the machines using that link as their own site.

SQL folks, and IT professionals in general, love their acronyms. A common acronym in the SQL world is ACID, which stands for atomicity, consistency, isolation, durability. These four words form a set of properties that database systems should implement to guarantee reliability of data storage, processing, and manipulation. Atomicity: All data changes should be transactional in nature. That is, data changes should follow an all-or-nothing pattern. The classic example is a double-entry bookkeeping system in which every debit has an associated credit. Recording a debit-and-credit double-entry in the database is considered one transaction, or a single unit of work. You cannot record a debit without recording its associated credit, and vice versa. Atomicity ensures that either the entire transaction is performed or none of it is. Consistency: Only data that is consistent with the rules set up in the database will be stored. Data types and constraints can help enforce consistency within the database. For instance, you cannot insert the name Dolly in an int column. Consistency also applies when dealing with data updates. If two users update the same row of a table at the same time, an inconsistency could occur if one update is only partially complete when the second update begins. The concept of isolation, described following, is designed to deal with this situation.

Isolation: Multiple simultaneous updates to the same data should not interfere with one another. SQL Server includes several locking mechanisms and isolation levels to ensure that two users cannot modify the exact same data at the exact same time, which could put the data in an inconsistent state. Isolation also prevents you from even reading uncommitted data by default. Durability: Data that passes all the previous tests is committed to the database. The concept of durability ensures that committed data is not lost. The transaction log and data backup and recovery features help to ensure durability. The transaction log is one of the main tools SQL Server uses to enforce the ACID concept when storing and manipulating data.

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