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Exit must be called as many times as Enter is called to release a lock Unlike the synchronous lock, exiting the scope where the lock was acquired does not release the lock Care should be taken to ensure that a thread releases any owned locks before it terminates Because of the indeterminate nature of the NET framework, the results of terminating a thread that is in a critical section are not predictable 742 The TryEnter method We ve seen how Monitor Enter and Exit work when things go well, but what happens if one of the threads doesn t release the lock when finished with it When any other thread calls the Enter method, it will be blocked indefinably This means that if one thread fails to release a lock all threads that try to Enter that lock will hang (listing 712)..

In this chapter, you learned about the various tools that SQL Server 2005 has to offer the DBA. You learned the various components of SQL Server Managment Studio and how to view the new summary reports to get a quick indication of how your SQL Server is performing, analyze the various logs, and view the current activity on your SQL Server instance. In addition, you learned how to set up SQL Server alerts based either on error messages, performance monitor object counters, or WMI events.

There is one row for the table header, which shows the field names in the header row, and one detail row for each row in the dataset. 12 Click the Next Page button in the Preview toolbar. 13 Scroll to the bottom of the page. The table footer displays the string Grand Total and the sum of the detail rows for SalesAmount and OrderQuantity.

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You then learned how to use SQL Server Managment Studio to generate the execution plan for T-SQL queries for analysis, so as to be able to see how they are being executed by SQL Server s query optimizer. Finally, you learned how to use SQL Server Profiler tool to capture the network traffic between the client applications and a SQL Server instance for analysis, and how to use this trace file with the Database Engine Tuning Advisor and optimise your database design.

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Understanding Dynamic Management Views . . . . . . . . . . . . . . . . . . . . . .1041 Using Dynamic Management Views . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1043 Creating a Performance Data Warehouse. . . . . . . . . . . . . . . . . . . . . . . . . .1075 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1083

The importance of releasing locks (VB.NET)

Analyzing and tuning database performance is more an art than a science. There can be many reasons why performance may be suboptimal insufficient memory, incorrectly configured system parameters, disk bottlenecks, and poorly written queries being just a few of the more common causes. Understanding the operational details and the possible cause of the problem is often more difficult and time-consuming than actually taking the corrective actions. Anything that helps you get to the bottom of the problem quickly helps save time, effort, and cost. SQL Server 2005 introduces more than 80 new Dynamic Management Views (DMVs) which, as the name suggests, are views built on top of system tables to surface the dynamically changing information about the database engine. These views present the internal operational statistics of the various components of the engine in a meaningful and easily comprehendible way. In this chapter, we ll take a look at the new DMV functionality and how it simplifies the tasks of performance tuning and analysis of the database operation as compared to earlier versions of SQL Server. We will also take a detailed look at each of the new DMVs and see for what each can be most effectively used. Lastly, we will take a look at creating a simple performance data warehouse that can be used to archive historical performance data for analysis at a later time.

In earlier versions of SQL Server troubleshooting, a performance problem usually involved using tools like Windows System Monitor (perfmon.exe) and SQL Server Profiler, configured with the relevant set of counters and events, and waiting to capture a snapshot of the problem when it occurred. This was tedious and often invasive to the application performance, sometimes to a point where the overhead of the tools on the

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