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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:

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900 800 700

Figure 11-13

If you don t care about separating reads from writes, Avg. Disk Bytes/Transfer is a convenient counter to measure the I/O size.

Before you can effectively take advantage of the I/O performance counters in troubleshooting query performance problems, you need to understand how some of the key

The Break Reminder application uses an idle handler to keep running in the background and display this dialog box at regular intervals

4 On your computer screen, the 50-day line is blue, and the 200-day line is red 5 The chart should look something like Figure 31

SQL Server operations manage their disk I/O sizes. It is beyond the scope of this chapter to discuss the I/O implications of every SQL Server operation. Instead, let s review the following key SQL Server operations with respect to how their performance is related to I/O sizes:

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then press z-Q or choose the Quit command from the application s menu Alternatively, click the application s icon on the Dock, keep holding down the mouse button until the pop-up menu appears, and then choose Quit

Checkpoints Lazy writes Read-ahead reads Table scans and index scans Index seeks and bookmark lookups Checkpoints and lazy writes use essentially the same algorithm to control the sizes of their disk I/O requests SQL Server 2000 tries to bundle up to 16 pages (up to 128 KB) in a single write request, whereas SQL Server 2005 and 2008 can bundle up to 32 pages (up to 256 KB) in a single write request Obviously, if dirty pages are not contiguous with respect to the page numbers in a data file, checkpoints and lazy writes will have to issue smaller I/Os Similarly, read-ahead reads will attempt to issue large I/O requests, whenever possible In practice, it is common to see SQL Server read-ahead reads posting I/O requests that are greater than 128 KB in size.

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1 Buy: If the index or stock crosses above the 50-day or 200-day moving average, that could be a signal to buy 2 Sell: If the index or stock crosses below the 50-day or 200-day moving average, that could be a signal to sell 3 Note: These are not actionable trades, but only guidelines Always use other indicators to confirm before buying or selling 4 Hint: This is almost the same chart you saw at the beginning of Part One, but now we have added moving averages Notice how adding moving averages helps give you clues about the current trend In the chart above, the S&P 500 is in very dangerous territory Will it drop below the 50-day moving average

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