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Lesson Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-40

to the processing query. When the query is executed for the first time, the actual processing query is translated as follows:

UPDATE currRow SET Col2 = snapshotRow.Col2 + 1 FROM Test.TestTran AS currRow WITH(READCOMMITTED) INNER JOIN Test.TestTran AS snapshotRow ON snapshotRow.PKCol = currRow.PKCol; /* This update is now executed in read committed isolation (because of the locking hint) but reads the data from the snapshot isolation. This causes the data to be overwritten without an update conflict being issued. If the transaction in connection 2 was still open, this query would have been blocked until it finished. But when it is no longer blocked, it will just overwrite whatever data had been put in the row by the other transaction. */

Lesson Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-42

(ModifiedDate <= #last modified date#)

Lesson 3: Configuring Advanced DNS Server Properties . . . . . . . . . . . . . . . . . 5-43

Tuning Advanced Server Options. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-43

Scalability refers to the ability of an application to efficiently utilize resources to accommodate an increased workload. In other words, your application should be able to grow along with the number of users. Even though your application might have a limit to the number of concurrent users it can handle, you should be able to make a change to either the application or the environment that allows it to increase that limit. Typically, scalability is accomplished by increasing the capacity of the server. This is referred to as scaling up; it usually involves adding more processing power or memory to the server. Because no application changes are required when scaling up, this tends to be a preferred method. Another method for scaling your application involves adding additional servers to handle database workload. SQL Server 2005 provides several ways for you to scale out a database application. Which methods you use depends on factors such as the degree of data coupling, the number of application changes, and the maintainability requirements. Application scalability should not be an afterthought in the design and development process. Even if there is only a remote chance that your application will need to accommodate a larger number of users, it should be designed to be scalable from the very beginning. Depending on the technique chosen, implementing application scalability can involve quite a few changes. This lesson will cover several techniques you can use to scale your application. Table 8-1 lists each of these techniques along with their advantages and disadvantages. As you read through the lesson, you can refer to this table and determine which technique is best suited to your application. Keep in mind that it might be necessary to utilize more than one of these techniques.

The net result is that all table rows are loaded in the cache. During the next polling interval, the server will run the polling query again. If new data has been added, the server will pick up the new ModifiedDate value. Now the server has two date values: the old modified date and the last modified date. Next, the server passes the two dates to the two parameter placeholders, as follows:

Lesson Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-52

Lesson Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-55

Table 8-1

(ModifiedDate <= #last modified date#)