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Keep in mind that, as a SQL Server professional, you are interested in disk I/Os generated by SQL Server. And with the exception of database transaction logging, SQL Server is coded to avoid making small sequential I/O requests when it can issue large sequential I/Os. Whenever possible, SQL Server combines otherwise multiple sequential I/Os into a single larger I/O request. As described in Bob Dorr s excellent white papers, SQL Server 2000 I/O Basics and SQL Server I/O Basics 2, checkpoints, lazy writes, eager writes, and read-ahead all use similar optimization to flush or read multiple contiguous pages, and as a result, heavily favor large I/Os. For small sequential I/Os, the overhead with each I/O request is a significant factor in the overall I/O performance. In addition, because multiple concurrent I/O requests are often outstanding and the disk storage is often shared by different hosts or different applications in practice, it is difficult to limit small sequential I/Os to track-to-track seek time. For instance, if the disk head is being moved away because of other I/O requests taking place in between these small sequential I/O requests, the average seek time may become a determinant factor in the performance of these small sequential I/Os, therefore effectively turning them into random I/Os. Although life is made difficult by not having any disk performance counters to distinguish random I/Os from sequential I/Os, it is easy to tell small I/Os from large I/Os using the following performance counters under the LogicalDisk object: birt barcode Streaming Barcode Images in BIRT for Eclipse IDE - IDAutomation
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