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Which RAID level is right for you The answer to this question depends on several factors.
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What are your fault tolerance requirements Depending on your requirements, based on company policy or legal requirements, you might have more or fewer restrictions that normal. What is your budget Many times compromises are made based on the available budget for your I/O subsystem. What are your performance requirements Often performance requirements outweigh budget requirements if you have strict service level agreements. Your needs will determine your requirements.
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Now that you have an overview of how I/O works, let s look at SQL Server I/O requirements.
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SQL Server I/O Overview
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SQL Server is especially sensitive to I/O latencies because of the concurrency of transactions within the SQL Server engine. Under normal conditions, tens or hundreds of applications are running against a SQL Server database. To support this concurrency, SQL Server has a complex system of row, page, extent, and table locks, as you will see throughout this book. When a piece of data or a SQL Server resource is locked, other processes must wait for that data or resource to be unlocked. If I/O operations take excessive amounts of time to complete, these resources will be held for a longer-than-normal period, further delaying other threads processing in the system. In addition, this could lead to a greater chance of deadlocks. The longer the I/O takes to complete, the longer the locks are held, and the potential for problems increases. As a result, individual delays can multiply in a way that could cripple the system. In addition, query processing will be significantly slower. If long table scans are running on your system, for example, hundreds of thousands or even millions of rows will often need to be read in order to complete the task. Even slight variations in performance become dramatic when applied to a million I/O operations. One million operations at 10 ms each will take approximately 2.8 hours to complete. If your system has overloaded the I/O subsystem and each I/O operation is taking 40 ms, the time to complete this query will increase to more than 11 hours. As you can see, SQL Server performance can be severely degraded by a poorly sized or poorly configured I/O subsystem. By designing your I/O subsystem to work within the capacity of the individual components, you will find that your system s performance is optimal.
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Let s look at what affects SQL Server I/O and why it is important to tune the SQL Server I/O subsystem. We will begin by looking at reads, then writes, and then the transaction log I/Os. Finally, we will look briefly at backup and recovery.
SQL Server Reads
When a user session wants to read data from the database, it will read either directly from the SQL Server buffer cache, or, if the buffer cache does not have the data that is requested, the data will be read into the buffer cache and then from the buffer cache. If the requested data is in the buffer cache, then it is referred to as a buffer hit. If the data is not in the buffer cache it is referred to as a buffer miss. The ratio of buffer hits to total buffer requests is called the buffer cache hit ratio. For optimal performance the buffer hit ratio should be as close to 100 percent as you can get. Note
When a read is made from the database, it is called a logical read since it could be a read from memory or a read from disk. A read from the disk drive is called a physical read. A read from memory takes approximately 100 nanoseconds, while a read from disk will take approximately 8 milliseconds or more.
The important point about SQL Server read operations is that the user session will wait on reads to complete before their request will complete. When selecting data from the database, the user will wait on the complete operation including all of the physical reads. The time it takes to select from the database depends on how much data will be read and how long it takes for those reads to occur. Even with cache reads, the time it takes to read a large amount of data can be significant. With physical reads, the time can be even longer. SQL Server users actually wait on reads to complete before their SQL statement has completed. As you will see in the next section, SQL Server users will not wait on writes to complete.
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