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The advanced Max Worker Threads option dynamically controls the number of worker threads SQL Server uses for execution on the schedulers. Each worker thread consumes 512KB of stack space. Normally, each user connection consumes a worker thread; however, if you have more user connections than worker threads, SQL Server starts to share user connections between worker threads through a process known as thread pooling. The default value of zero allows SQL Server to automatically configure the number of worker threads at startup, depending on the number of processors available as seen in Table 29-3.
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Table 29-3 Default Automatic Configuration of Max Worker Threads by SQL
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Number of Processors <= 4 8 16 32 32-bit Architecture 256 288 352 480 64-bit Architecture 512 576 704 960
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In most cases, you should let SQL Server configure the max worker threads automatically. You can increase the number of worker threads to service more user connections concurrently, but you have to be careful not to saturate your processors. Conversely, if you have installed a multi-instance cluster or multiple instances of SQL Server, you might want to reduce the Max Worker Threads option.
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Important Microsoft recommends that you do not configure the Max Worker Threads option beyond 1,024 on a 32-bit architecture and 2,048 on a 64-bit architecture.
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The Min Memory Per Query option controls the minimum amount of memory (in KB) that SQL Server allocates for the execution of any single query. The default is 1,024 KB. The Min Memory Per Query option is typically left alone and considered a fine-tuning mechanism. Increasing the Min Memory Per Query option may improve performance for some small to medium-sized queries, but it could lead to internal memory pressure.
The Min Server Memory Option
The Min Server Memory option dynamically controls the lower limit of the amount of memory (in MB) that the SQL Server instance s buffer pool uses. As with the Max Server Memory option, the default value of zero allows the SQL Server instance to respond to external memory pressure and dynamically decrease the amount of memory it uses until this lower limit is hit. The Min Server Memory option is typically used as a fine-tuning mechanism to guarantee a SQL Server instance a certain amount of memory so as to guarantee a certain level of performance. Best Practices Typically DBAs either leave the Min Server Memory and Max Server Memory options alone or set them both to a predetermined value. Don t forget that you can also just adjust the min server memory to a level above the default but below the max server memory. As an example, you might have two SQL Server instances running on a server with 4 GB of memory. To guarantee that both SQL Server instances perform well, you configure both SQL Server instances to a min server memory setting of 1 GB and leave the max server memory at the default value. This guarantees that both SQL Server instances perform well because they will always have a minimum of 1 GB of memory to use. However, as users heavily utilize a particular SQL Server instance, or batch processes and large transactions run, that particular SQL Server instance can grab more of the remaining memory from the other SQL Server instance. This methodology allows you to guarantee a certain level of performance while maximizing your available memory.
The Open Objects Option
The Open Objects option has no effect in SQL Server 2005 and has been included for backward compatibility only.
29
Database System Tuning
The Priority Boost Option
The Priority Boost option increases the priority of SQL Server threads to High (13). This can improve performance because the SQL Server threads are not preempted by other applications running on the operating system. Conversely, other applications might be adversely affected because they do not have a high enough priority to preempt SQL Server s threads. The priority boost option is typically left alone and considered a fine-tuning mechanism. You might also want to evaluate its use in a server environment where you have multiple instances of SQL Server running and certain instances have certain SLAs that need to be met.
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