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What can go wrong with a loop Any answer would have to include at the very least incorrect or omitted loop initialization, omitted initialization of accumulators or other variables related to the loop, improper nesting, incorrect termination of the loop, forgetting to increment a loop variable or incrementing the variable incorrectly, and indexing an array element from a loop index incorrectly. You can forestall these problems by observing two practices. First, minimize the number of factors that affect the loop. Simplify! Simplify! Simplify! Second, treat the inside of the loop as if it were a routine keep as much of the control as possible outside the loop. Explicitly state the conditions under which the body of the loop is to be executed. Don t make the reader look inside the loop to understand the loop control. Think of a loop as a black box: The surrounding program knows the control conditions but not the contents.

Before you query such data, you might want to rotate it to a traditional form with one column for each attribute perhaps store the result in a temporary table, index it, query it, and then get rid of the temporary table To rotate the data from its open schema form into a traditional form, you need to use a pivoting technique In the following section, I ll describe the steps involved in solving pivoting problems I d like to point out that to understand the steps of the solution, it can be very helpful if you think about query logical processing phases, which I described in detail in 1, Logical Query Processing I discussed the query processing phases involved with the native PIVOT table operator, but those phases apply just as well to the standard solution that does not use this proprietary operator.

For further discussion of the correspondence between loops and arrays, see Section 10.7, Relationship Between Data Types and Control Structures.

Moreover, in the standard solution the phases are more apparent in the code, while using the PIVOT operator they are implicit The rst step you might want to try when solving pivoting problems is to gure out how the number of rows in the result correlates to the number of rows in the source data Here, you need to create a single result row out of the multiple base rows for each object In SQL, this translates to grouping rows So our rst logical processing phase in pivoting is a grouping phase, and the associated element (the element you need to group by) is the objectid column As the next step in a pivoting problem, you can think in terms of the result columns You need a result column for each unique attribute.

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To configure an address reservation, you need to know the hardware address of the computer whose address you want to reserve. The basic graphical user interface (GUI) way to get the hardware address of a local computer or of a remote computer over a Remote Desktop connection is through the Local Area Connec tion Status dialog box. In the dialog box, select the Support tab and then click the Details button. This procedure opens the Network Connection Details dialog box, which includes summary information such as the computer s MAC address, its IP address, its DHCP server address, its DNS server address, and other useful nuggets. The Ipconfig /all output also includes the MAC address of the local computer. These methods are nice, but there is actually a much faster way to obtain MAC addresses of local and remote computers. Windows Support Tools includes a util ity called Getmac, which, when used with the /s switch, allows you to obtain the physical address of any computer on the network even those on a remote subnet. By piping the Getmac output into the clipboard, you can paste the MAC address of the remote computer into the New Reservation dialog box. For example, type the following command at a command prompt: getmac /s computer2 | clip Then open Notepad and press Ctrl+V. This operation pastes the output from the previous Getmac operation. From Notepad, you can then copy Computer2 s hardware address and paste it into the New Reservation dialog box.