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In C++, consider creating preprocessor macro substitutions for &&, <;$LB><;$LB>, and == (but only as a last resort) If you have such a problem, it s possible to create #define macros for boolean and and or, and use AND and OR instead of && and <;$LB><;$LB>. Similarly, using = when you mean == is an easy mistake to make. If you get stung often by this one, you might create a macro like EQUALS for logical equals (==).
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IF OBJECT_ID('dbo.CustomerData') IS NOT NULL DROP TABLE dbo.CustomerData; CREATE TABLE dbo.CustomerData ( custid INT NOT NULL PRIMARY KEY, VARCHAR(MAX) NULL, txt_data NVARCHAR(MAX) NULL, ntxt_data binary_data VARBINARY(MAX) NULL, XML NULL xml_data );
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1. The name box on the left of the formula bar was previously too narrow for those users who consistently worked with range names and could not display longer names fully when drop-down name lists were expanded . This interfered with various control steps . The problem is now solved by the fact that you can use a slide (elliptic mark in Figure 1-3) to increase and decrease the name box . This provides a significant advantage for users in particular of the rS1 .Method recommended in this book, which requires having to deal very intensively with range names . 2. In Excel 2007, a cell can now contain a maximum of 32,767 characters and a formula can be 8,192 characters long . To ensure that you can display these amounts of text clearly in the formula bar, you can now extend the single-row item to several rows and, if this still isn t sufficient, you can use a scrollbar to move in the area extended in this way . Note You will learn more about the specifications and limitations of Excel 2007 in the Overviews and Materials section further on .
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validation attributes applied to the parameters. We don t cover the use of the validation call handler in this guide, as it requires you to be familiar with Unity interception techniques. For more information about interception and the validation call handler, see the Unity interception documentation installed with Enterprise Library or available online at http://go.microsoft.com/fwlink/ LinkId=188875. Alternatively, you can create individual validators programmatically to validate specific values, such as strings or numeric values. However, this is not the main focus of the block though we do include samples in this chapter that show how you can use individual validators. In addition, the Validation block contains features that integrate with Windows Forms, Windows Presentation Foundation (WPF), ASP.NET, and Windows Communication Foundation (WCF) applications. These features use a range of different techniques to connect to the UI, such as a proxy validator class based on the standard ASP.NET Validator control that you can add to a Web page, a ValidationProvider class that you can specify in the properties of Windows Forms controls, a ValidatorRule class that you can specify in the definition of WPF controls, and a behavior extension that you can specify in the <system.ServiceModel> section of your WCF configuration. You ll see more details of these features later in this chapter. Validators implement functionality for validating Microsoft .NET Framework data types. The validators included with the Validation block fall into three broad categories: value validators, composite validators, and type (object) validators. The value validators allow you to perform specific validation tests such as verifying: The length of a string, or the occurrence of a specified set of characters within it. Whether a value lies within a specified range, including tests for dates and times relative to a specified date/time. Whether a value is one of a specified set of values, or can be converted to a specific data type or enumeration value. Whether a value is null, or is the same as the value of a specific property of an object. Whether the value matches a specified regular expression. The composite validators are used to combine other validators when you need to apply more complex validation rules. The Validation block includes an AND validator and an OR validator, each of which acts as a container for other validators. By nesting these composite validators in any combination and populating them with other validators, you can create very comprehensive and very specific validation rules.
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// Allocate a BitArray that can hold 14 bits. BitArray ba = new BitArray(14); // Turn all the even numbered bits on by calling the set accessor. for (Int32 x = 0; x < 14; x++) { ba[x] = (x % 2 == 0); } // Show the state of all the bits by calling the get accessor.
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PRINT 'After TRY/CATCH block.';
To get only the second level employees under employee 3, add a filter on the level, which will generate the output shown in Table 9-13: SELECT empid FROM dbo.fn_subordinates2(3, 2) AS S WHERE lvl = 2;
would be awkward because the numbers are floating point. You might consider converting the floating-point numbers to integers, and in this case that would be a valid design option, but for the sake of illustration, this example will stick with floating point. To use the stair-step method, you put the upper end of each range into a table and then write a loop to check a score against the upper end of each range. When you find the point at which the score first exceeds the top of a range, you know what the grade is. With the stair-step technique, you have to be careful to handle the endpoints of the ranges properly. Here s the code in Visual Basic that assigns grades to a group of students based on this example:
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Allocation Order Scans vs. Index Order Scans When the plan shows an Index Scan operator with Ordered: False, the relational engine doesn t care in what order the rows are returned. In this case there are two options to scan the data allocation order scan and index order scan. It is up to the storage engine to determine which to employ. Unfortunately, the storage engine s actual choice is not indicated in the execution plan, or anywhere else. I will explain the storage engine s decision-making process, but it s important to understand that what the plan shows is the relational engine s instructions and not what the storage engine did. The performance of an allocation order scan is not affected by logical fragmentation in the index because it s done in le order anyway. However, the performance of an index order scan is affected by fragmentation the higher the fragmentation, the slower the scan. Therefore, as far as performance is concerned, the storage engine considers the allocation order scan the preferable option. The exception is when the index is very small (up to 64 pages), the cost of interpreting IAM pages becomes signi cant with respect to the rest of the work, in which case the storage engine considers the index order scan to be preferable. Small tables aside, in terms of performance the allocation order scan is considered preferable. However, performance is not the only aspect that the storage engine needs to take into consideration; it also needs to account for data consistency expectations based on the effective isolation level. When there s more than one option to carry out a request, the storage engine opts for the fastest option that meets the consistency requirements. In certain circumstances, scans can end up returning multiple occurrences of rows or even skip rows. Allocation order scans are more prone to such behavior than index order scans. I ll rst describe how such a phenomenon can happen with allocation order scans and in which circumstances. Then I ll explain how it can happen with index order scans. Allocation Order Scans Figure 4-30 demonstrate in three steps how an allocation order scan can return multiple occurrences of rows. Step 1 shows an allocation order scan in progress, reading the leaf pages of some index in le order (not index order). Two pages were already read (keys 50, 60, 70, 80, 10, 20, 30, 40). At this point, before the third page of the index is read, someone inserts a row into the table with key 25. Step 2 shows a split that took place in the page that was the target for the insert since it was full. As a result of the split, a new page was allocated in our case later in the le at a point that the scan did not yet reach. Half the rows from the original page move to the new page (keys 30, 40), and the new row with key 25 was added to the original page because of its key value. Step 3 shows the continuation of the scan: reading the remaining two pages (keys 90, 100, 110, 120, 30, 40) including the one that was added because of the split. Notice that the rows with keys 30 and 40 were read a second time.
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