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Worker threads, linked servers, OLE, etc., Multipage allocator (> 8K memory allocations)

Figure 7.4 The SQL Server buffer pool, as defined by the Max Server Memory setting, must share the server s physical memory with other memory consumers such as Windows and MemToLeave.

As you can see, even on a dedicated server, there s a potentially large number of components vying for memory access, all of which comes from outside the buffer pool, so leaving enough memory is crucial for a smooth-running server. The basic rule of thumb when allocating maximum memory is that the total of each instance s maximum memory values should be at least 2GB less than the total physical memory installed in the server; however, for some systems, leaving 2GB of memory may not be enough. For systems with 32GB of memory, a commonly used value for Max Server Memory (totaled across all installed instances) is 28GB, leaving 4GB for the operating system and other components that we discussed earlier. Given the wide variety of possible system configuration and usage, it s not possible to come up a single best figure for the Max Server Memory value. Determining the best maximum value for an environment is another example of the importance of a load-testing environment configured identically to production, and an accurate test plan that loads the system as per the expected production load. Load testing in such an environment will satisfy expectations of likely production performance, and offers the opportunity to test various settings and observe the resulting performance. One of the great things about SQL Server, particularly the recent releases, is its selftuning nature. Its default settings, together with its ability to sense and adjust, make the job of a DBA somewhat easier. In the next section, we ll see how these attributes apply to CPU configuration.

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When an instance of SQL server starts, it s created as an operating system process. Unlike a simple application that performs a series of serial tasks on a single CPU, SQL Server is a complex application that must support hundreds or even thousands of simultaneous requests. In order to do this, the SQL Server process creates threads. A multithreaded operating system such as Windows allows applications like SQL Server to create multiple threads in order to maximize CPU efficiency and application

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throughput. Threads are assigned and balanced across the available CPUs in a server. If a thread is waiting on the completion of a task such as a disk request, SQL Server can schedule the execution of other threads in the meantime. The combination of a multithreaded architecture and support for multi-CPU servers allows applications such as SQL Server to support a large number of simultaneous requests. With this background in mind, let s take a look at some of the configuration options that can be set to control the manner in which SQL Server threads are executed.

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