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One important aspect of check constraints is that they reject values that evaluate to False rather than accepting values that evaluate to True. That might seem like the same thing, but in SQL Server, it is not. It creates an issue related to NULL values that is important to acknowledge. For example, if you have a check constraint that states that Price > 10.0, you can still insert a NULL value into the Price column. This value is allowed because any comparison made with NULL returns NULL it is neither True nor False. If you don t want the check constraint to allow the null value, you can either disallow NULL in the Price column by specifying the NOT NULL constraint for the column or by changing the check constraint to read Price > 10.0 AND Price IS NOT NULL . Extending Check Constraints with User-Defined Functions The expression in a check constraint can contain most of the logic that you can use in a WHERE clause (including NOT, AND, and OR). It can call scalar functions and reference other columns in the same table; however, it is not allowed to directly contain subqueries. Because you can write your own scalar functions in either T-SQL or managed code, you can apply advanced logic inside your check constraints and, through them, even use subqueries. The following example creates a user-defined function called fnIsPhoneNumber in managed code to verify that a string contains a valid U.S. phone number by applying a regular expression. It then creates a table that calls the function from a check constraint to validate the phone numbers entered into the table. Because the PhoneNumber column allows NULL values, inserts and updates of nulls are allowed.

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To calculate the number, size, and configuration of the physical disk drives support ing your transaction log, you need to account for the throughput and storage require ments of the log, as you did with the database. To size for log throughput

requirements, you need to account only for the expected number of writes/sec caused by the database workload.

//C# [SqlFunction(IsDeterministic = true, DataAccess=DataAccessKind.None)] static public SqlBoolean fnIsPhoneNumber(SqlString phoneNumber) { if(phoneNumber.IsNull){ return SqlBoolean.Null; } return System.Text.RegularExpressions.Regex

information about the Merge Agent for a subscription. The information on this tab helps you to identify problems that are slowing down merge replication. The tab provides detailed statistics for each article processed during synchronization, including the amount of time required by each processing phase. It can help pinpoint specific tables that are causing slowdowns, and it provides the best tool to troubleshoot performance issues with merge subscriptions.

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There is no performance benefit to using more than one log file per database. The only time to use more than one log file is when you run out of space on the drive currently holding the log file.

.IsMatch(phoneNumber.Value, @"^\([1-9]\d{2}\)\s \d{3}\-\d{4}$"); } 'VB <Microsoft.SqlServer.Server.SqlFunction(IsDeterministic:=True, DataAccess:=DataAccessKind.None)> _ Public Shared Function fnIsPhoneNumber(ByVal phoneNumber As SqlString) As SqlBoolean If (phoneNumber.IsNull) Then Return SqlBoolean.Null End If Return System.Text.RegularExpressions.Regex.IsMatch(phoneNumber.Value, "^\([1-9]\d{2}\)\s \d{3}\-\d{4}$") End Function

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Suppose that you want to design a RAID configuration for the logical drive storing your log file Assume that you are planning to use the same physical drives as those you are using for the database (Recall that these drives have a throughput capacity of 300 IOPS, which means that the maximum recommended throughput for any of these drives in a production environment is 85 percent of 300, or 255 IOPS) Next, if you are planning storage for the same database server, you have determined that your database workload will generate 600 reads/sec and 200 writes/sec during periods of peak usage Because you are sizing for the transaction log, not the database, you need to look only at the number of writes: 200 writes/sec But you still need to adjust the total number of I/Os for your choice of RAID, as you did with the database drives.

For quick recovery, it is normally recommended that you store the transaction log on a mirrored drive or array, such as a RAID 1 or RAID 10 As noted earlier, the number of writes is doubled in all three of these environments Therefore, your total IOPS in a RAID 1 or RAID 10 configuration is 400 When divided between two disks in a RAID 1, this load is reduced to 200 IOPS per disk This falls below your maximum tar get throughput of 255 IOPS per disk, so a RAID 1 configuration is a suitable option for storing the transaction log in this example In a RAID 10 scenario, the minimum number of disks used is always four So, if you choose either of these options, the maxi mum expected throughput is reduced to 100 IOPS per disk.

For more information, and in particular to obtain a list of the icons Replication Monitor uses to indicate publication and subscription values, search for Viewing Publication and Subscription Status in Replication Monitor in Books Online or access msdn2.microsoft.com/en-us/library/ ms151271(d=ide).aspx.

The following T-SQL statement creates a table and check constraint that references the userdefined function:

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