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This option tells SQL Server to verify that all rows in the table comply with the constraint prior to turning it back on. If any rows do not comply with the constraint, an error message is returned and the ALTER TABLE statement is rolled back. If you execute the query again, you will find that you are back to the first execution plan (the one shown in Figure 5-2) and, if you execute the query against sys.foriegn_keys again, you will find that the is_not_trusted column now returns the value 0. It is once again trusted. One last note on this implementation: you can change the script for the Test.Customers and Test.Orders tables, as shown in the following example, so that the CustomerID column in the Test.Orders table allows for null values that is, it is not declared with the NOT NULL constraint.

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CREATE TABLE Test.Customers ( CustomerID INT PRIMARY KEY ); CREATE TABLE Test.Orders ( OrderID INT PRIMARY KEY ,CustomerID INT NULL CONSTRAINT FKOrdersCustomers REFERENCES Test.Customers (CustomerID) );

Figure 7-2

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Ian McLean I ve found that the best method of increasing the efficiency of Publishers is also the simplest. Cut down the amount of information that you publish. Because replication is fairly straightforward to configure, and because there s a remote possibility that a table might be useful to staff at a distant location, most DBAs publish more data than is required and replicate it more often than they need to. This uses additional resources within the distribution databases and snapshot files, and lowers the throughput for required data. Even more significantly, if you provide more data than users require, it takes those users longer to find the information they need. Do not publish an entire database when all the information remote users will ever need is in a single table.

If you execute the same query against this table structure, you get the execution plan from Figure 5-3. This means that the exists operator is being executed even if you have the trusted foreign key constraint in place. To persuade the query optimizer to go back to the plan that didn t execute the exists operator, you need to change the query, as shown in the following example:

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Because a RAID 0 configuration does not provide any fault tolerance, it is not an acceptable solution for availability.

Remembering which RAID level corresponds to a particular configuration can get confusing. Although most people remember that RAID 5 means striping with parity, RAID 0 and RAID 1 are often confused. The easiest way to remember these two configurations is to remember that a RAID 0 configuration provides zero fault tolerance.

SELECT o.* FROM Test.Orders AS o WHERE EXISTS (SELECT * FROM Test.Customers AS c WHERE c.CustomerID = o.CustomerID) AND o.CustomerID IS NOT NULL;

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10

Figure 7-3

This informs SQL Server that no orders with a CustomerID of NULL should be returned, which brings you back to the plan from Figure 5-2.

By mirroring a drive, you maintain a duplicate copy of the data so that your databases are protected if a single drive fails within the mirror set. However, a mirror set enables you to use only half of the capacity of the set of drives that are installed because half the storage capacity is used for redundancy. Write performance is also slightly degraded because all writes to a drive have to also be written to its mirror.

Procedural data integrity is implemented either using T-SQL or managed code by creating stored procedures or triggers. Of course, user-defined functions can be used in both stored procedures and triggers to simplify integrity checks. Because procedural logic usually requires more coding than declarative integrity checks, it should be used when it is most appropriate.

RAID 5, shown in Figure 7-4, is also called striping with parity. RAID 5 balances fault tolerance, storage capacity, and performance. A RAID 5 config uration sacrifices the storage capacity of one drive within the stripe set. When data is written to a RAID 5 array, all the data is striped across all available drives. Parity data is calculated and also striped across the drives. In the event of a single drive failure, the parity data can be used to reconstruct the missing pieces of data on the failed drive.

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