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Finally, the Recent Expensive Queries panel shows you the most expensive queries run in the past 30 seconds You can view a sample of this in Figure 8-9, which also shows the right-click menu that provides the ability to see the full query text and even to pull the execution plan used out of cache and view it in a graphical format
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Figure 8-9
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Dynamic management views (DMVs) were introduced in SQL Server 2005 and provide much greater visibility into the workings of SQL Server than was possible with prior versions of the product They are basically just views on top of the system tables and internal memory structures, but abstracting away from the physical implementation allows Microsoft to provide a massive amount of useful information through them They are the SQL Server equivalent of V$ views in Oracle The standard naming convention starts with sysdm_, which indicates that it s a DMV (there are also dynamic management functions, but DMV is still the collective term in popular use), followed by the area about which the DMV provides information For example, sysdm_os_ for SQLOS, sysdm_db_ for database, and sysdm_exec_ for query execution The last part of the name describes the actual content accessible within the view; sysdm_db_missing_index_details and sysdm_os_waiting_tasks are both examples that you ll come across in this section
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One of the most useful strategies available for performance tuning in SQL Server is the analysis of SQL Server waits, and to understand why, you first need to understand some fundamental concepts about how SQL Server manages the scheduling and execution of work To recap on the architecture that was discussed in 2, Microsoft SQL Server only runs on Microsoft Windows, and Windows is designed as an all-purpose operating system, which means that it s not optimized for any particular scenario because it has to provide good performance for a very broad range of applications The approach that Windows takes to scheduling and execution of work is to provide each request with a fixed time slice within which to execute on a CPU This time slice is called a quantum, and each request will be scheduled to have one or more quantums in which to run and then they will be stopped to allow something else to run This allocation of time slices is necessary to provide the illusion of multitasking because a single CPU can only ever do one thing at a time The way Windows manages the scheduling of work is referred to as preemptive scheduling Back in the very early days of SQL Server, the Windows scheduler was used by SQL Server to schedule work requests, but the development team soon found that a generalpurpose preemptive scheduler wasn t going to provide the level of performance that the product needed so they decided to build SQL Server its very own scheduler User Mode Scheduler (UMS) was introduced in SQL Server 65 and, in SQL Server 2005, became a part of what we now call the SQLOS This new scheduling method for
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SQL Server is called a cooperative scheduler because the execution of work is governed by the fact that workers will voluntarily yield their time on the CPU whenever they have to wait for something other than the CPU Wait time is dead time, so if you can see what you re waiting for and for how long and then aggregate that across every other worker thread, then you ve got a list of the bottlenecks that are impacting SQL Server s performance SQLOS uses schedulers to manage the execution of workers, which in turn are assigned to execute a user request The number of schedulers defaults to the number of logical CPUs in the server because a single CPU can only ever execute one thing at a time, which means that it only needs a single scheduler Within a scheduler, the workers assigned to it can be in one of four states: Init, Running, Runnable, and Suspended Init is used when initializing a worker, but it s the other three states that we re interested in to help understand how waits work Only one worker can be in the Running state in a scheduler at a time, and that is the worker that is currently using the CPU All other workers waiting for time on the CPU are queued in the Runnable state, and any worker waiting for anything other than the CPU is in the Suspended state Whenever a worker is in the Suspended state, it is considered to be waiting and is assigned a wait type This is illustrated in Figure 8-10 In the diagram you can see that session_id 55 is currently executing, four sessions are waiting on resources (which you ll see descriptions of later in this chapter), and two
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