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In chapter 2 we listed the benefits of hardware-based RAID, one of which was that the disk controllers usually include some degree of cache, which you can consider the disk controller s private RAM. Let s turn our attention to two important aspects of storage cache: protecting it during power failure and configuring a higher percentage of its use for disk writes compared to reads. BATTERY-BACKED CACHE Disk controller cache improves performance for both reads and writes. When data is read from the disk, if the requested data is stored in the controller cache, then physical reads of the disk aren t required. In a similar fashion, when data is written to disk, it can be written to cache and applied to disk at a later point, thus increasing write performance. The most critical aspect of disk controller cache is that it must be battery backed. This will ensure that power failures don t cause data in the cache to be lost. Even if the server includes a UPS, which is recommended, disk controller cache must be battery backed. READ VS. WRITE CACHE It s important to make the distinction between read cache and write cache. SQL Server itself has a large cache stored in the server s RAM where, among other things, it caches data read from disk. In most cases, the server s RAM is likely to be much larger (and cheaper) than the disk controller cache; therefore, disk read performance increases attributed to storage cache are likely to be quite small, and in some cases can actually be worse due to the double caching involved. The real value of disk controller cache is the write cache. Write cache is particularly useful for improving disk performance during bursts of write activity such as

checkpoints (covered in chapter 7), during which large numbers of writes are sent to disk. In these circumstances, a large write cache can increase performance. The controller commits the writes to cache, which is much faster than disk, and hardens the writes to disk at a later point. As long as the controller cache is battery backed, this is a safe, high-performance technique. Depending on the controller card or SAN, you may be able to configure the percentage of cache used for reads and writes. For SQL Server systems, reserving a larger percentage of cache for writes is likely to result in better I/O performance. The quantity and read/write ratio of storage cache can make a significant difference to overall storage performance. One of the common methods of validating different settings prior to deploying SQL Server is to use the SQLIO tool, discussed next.

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Before a system is production ready, you must conduct a number of performance tests to ensure the system will perform according to expectations. The primary test is to load the system with the expected transaction profile and measure the response times according to the service level agreements. We ll go into this process in more detail in chapter 14, when we ll focus on creating a performance baseline. Prior to these tests, you ll need to carry out several system-level tests. One of the most important ones involves testing the storage system for capacity and integrity. This section focuses on two important tools, SQLIO and SQLIOSIM, both of which you can download for free from the Microsoft website. Links to both of these tools are available at sqlCrunch.com/storage.

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SQLIO is a tool used to measure the I/O performance capacity of a storage system. Run from the command line, SQLIO takes a number of parameters that are used to generate I/O of a particular type. At the completion of the test, SQLIO returns various capacity statistics, including I/Os per second (IOPS), throughput MB/second, and latency:

three key characteristics of a storage system, as you ll recall from chapter 2. The real value in SQLIO is using it prior to the installation of SQL Server to measure the effectiveness of various storage configurations, such as stripe size, RAID levels, and so forth. In addition to identifying the optimal storage configuration, SQLIO often exposes various hardware and driver/firmware-related issues, which are much easier to fix before SQL Server is installed and in use. Further, the statistics returned by SQLIO provide real meaning when describing storage performance; what is perceived as slow can be put into context when comparing results between similar storage systems. Despite the name, SQLIO doesn t simulate SQL Server I/O patterns; that s the role of SQLIOSIM, discussed in a moment. SQLIO is used purely to measure a system s I/O capacity. As shown in table 3.1, SQLIO takes several parameters used in determining the type of I/O generated.

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