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You can see in figure 6.3 that the web site monitoring method that adds the entry to the notification queue executes on the web site monitoring thread. Even though that execution occurs on a different thread, the Notification object is still restricting access to its data elements. This enforces that the only way to interact with the notification queue is via the appropriate method. The notification thread changes from waiting for a flag to be set to looking at the size of the notification queue. If there are no entries in the queue it sleeps for one second; while there are entries in the queue, it retrieves and processes them. This changes the job of the notification thread to servicing the notification queue. You can see this by looking at NotificationMethod in listing 6.4. This is a very common construct. The basic idea is to have a class that contains a queue and a method that services that queue.

Operating system tools: perfmon, task manager, event viewer SQL Server tools: error log, sys tables Third-party tools Analyze operating system and SQL Server configuration parameters

Baseline information is important so that you can determine initial issues and see whether changes make an improvement. As with every step of the methodology, this step should be documented with great detail.

Once you have done an initial assessment and collected data, you must analyze and interpret this data. The analysis is important because it allows you to determine the problem and its cause. The analysis should be done carefully and deliberately and should include several areas of study:

Analyze monitoring data Review error logs View customer performance data from their monitoring software

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report until the cache expires. The purpose of expiring the cache on a periodic basis is to force the report to be refreshed with the most current data when the next user accesses the report. The result is a new cached instance of the report until the next scheduled expiration.

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This assessment should be documented; it will be the basis of your report to your customer or management. As part of a full SQL Server assessment, this data should include the following data:

CPU utilization I/O utilization and response time Memory utilization Errors reported in the error log Wait stats (if available)

By carefully analyzing performance data, you might immediately be able to determine the problem, or you might be able to formulate a theory about possible contributing factors of the problem. This step and the next can benefit from having more than one person participate in order to provide ideas, experience, and guidance.

Encapsulate data elements relating to the area in a class. Create or find an object that represents a unit of work, in our case the MailMessage object. Add a private queue data member. Create a public method that adds elements representing the unit of work to the queue. Create a method that retrieves elements from the queue and processes them. Create a thread associating it with the queue servicing method. Instantiate and start the thread in the constructor of the class. Provide a means of cleaning up and terminating the thread, such as a Dispose method.

Once you have analyzed the monitoring and log data, you are ready to postulate a theory about the cause of the problem. This might sound more complicated than it actually is. Formulating a hypothesis is as simple as formulating a theory and documenting it. If you don t document the hypothesis, it can be easy to stray from proper testing of this hypothesis. The goal is to determine what the problem is; components of this step include the following:

Formulate a theory: I/O problem, locking problem, and so on Document your theory Back up that theory with data

Abbrev. Title Abbrev. Title Tip This feature is useful when you have a query that takes a few minutes or more to execute and many people want to see the same report. It minimizes the demand for resources on the database server, reduces the level of network traffic associated with transporting the data from the database server to the Report Server, and speeds up the display of reports when requested. For more details about report caching, refer to 8.

Once you have formulated the hypothesis, you are ready to develop a solution to the performance problem. In many cases, you will not be able to immediately solve the problem. You might instead have to develop a test to further narrow down the problem. Your test might be designed to split the problem or to improve some aspect of the system. Components of the solution include the following:

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