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The application supports failover by giving you a button to click to perform a manual failover, or you can just turn off the principal either by turning off the machine or by stopping the SQL Server service. Either way, the application, powered by database mirroring, will failover to the mirror and start inserting data into the mirror. The application uses the transparent client redirection built into the .NET SQL provider. You can bring back up the principal, which will become the new mirror. You can then fail back if you like. The application for manually failover uses the ALTER DATABASE dbname SET PARTNER FAILOVER statement to failover the mirror. The final piece of the application is the cleanup code when you want to turn off mirroring. The application will attempt to clear out the inserted data so that you can try the sample application again without having to manually clean up the data. Plus, the application will turn off the timer. Finally, the application will stop the databases from mirroring by sending ALTER DATABASE dbname SET PARTNER OFF to the principal. Some things that you can do beyond what the application does is turn on Performance Monitor on the principal and mirror to track mirroring sends, receives, acknowledgments, and also client connections. In addition, you may want to have the application set up database mirroring for you, so that you can try out database snapshots on the mirror server, which you will learn about next.

It s beyond this book s scope to look in any great depth at query optimization. Several tools that are a part of SQL Server 2005 can identify and rectify SQL Server engine related issues. One of them is SQL Server Management Studio.

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When you have a mirrored system, you may want to use the mirror as the server that users query to generate reports on their data. There are two reasons for this. First, you do not want users querying your primary OLTP system, since it has to handle the load for all your transactions. Second, you may want to get more usage out of your mirror, since you have already invested in the hardware for the mirror. Before we dive into a discussion about creating snapshots on your mirrors, though, there are some things you need to think about. First and foremost is that allowing users to query the mirror using snapshots will be a performance hit on the mirror. This could, in turn, slow down your entire database mirroring solution. The second thing you need to consider is that when there is a failover to the mirror, you do not want your clients querying your new principal; rather, you want to failover your snapshots and your clients to the new mirror if it s available.

The first stop on this epic journey of optimization was to isolate the SQL queries that are being performed. Extracting the queries out and ensuring, on an individual basis, that they are executing with maximum efficiency is a very productive way of increasing performance. SQL Server Management Studio gives you the ability to look over and optimize queries where necessary. Under Query in the menu options are a number of options that relate to gathering more information about your SQL queries. Again, gathering measurements from each part of the query will help you to identify areas needing optimization. Luckily, SQL Server Management Studio (like Query Analyzer before it) performs the measurements on demand and even compares them to previously collected performance data and measurements. You can use the Display Estimated Execution Plan functionality inside the Query menu (see Figure 12-23) to identify bottlenecks in the execution plan of a particular query. Also, using the Database Engine Tuning Advisor an option also shown in Figure 12-23 aids optimization by automatically identifying possible tuning measures. Again, going into any great depth on this topic is beyond the scope of this chapter, especially since the automated tuning advisor gives the same advice I would be giving here.

The easiest way to define database snapshots is to use the term copy-on-write. Snapshots use a copy-on-write technology, so that only changes to the database are written to the snapshot. Therefore, the entire database does not have to be copied when creating a snapshot; only the changes do. Now, if your entire database is changing over the lifetime of a snapshot, then your snapshot will become larger in size as the changes are applied. Let s look at the technology behind database snapshots. Database snapshots are a read-only, point-in-time, static view of your database. Snapshots work at the data-page level. This means that when a data page changes, the original page is copied over to the snapshot. If the same data page is modified later, the snapshot does not change and is unaware of the new data page. To update the snapshot with the new data, you need to create a new snapshot. The process details of creating a snapshot should make this clearer. When a snapshot is created, a sync Log Sequence Number (LSN) is created in the source database. SQL then runs recovery on the snapshot, since uncommitted transactions need to be rolled back on the snapshot. This does not affect the transactions on the source database. SQL creates a New Technology File System (NTFS) sparse file to hold the snapshot. NTFS sparse files work as you might guess: when they are initially created, sparse files are in fact sparse. They don t contain any data, and they grow as data is added to the file. Allocations to the sparse file are in 64KB blocks. When

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