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Note that online index operations need suf cient space in the database and overall are slower than of ine operations. If you can spare a maintenance window for the activity to work of ine, you had better do so. Even when you do perform the operations online, they have a performance impact on the system while they are running, so it s best to run them during off-peak hours. Instead of rebuilding an index, you can also reorganize it. Reorganizing an index involves a bubble sort algorithm to sort the index pages in the le according to their order in the index s linked list. The operation does not attempt to make the pages more contiguous (reduce gaps). As you can guess, the defragmentation level that you get from this operation is not as optimal as fully rebuilding an index. Also, this operation performs more logging than an index rebuild overall and therefore is typically slower. So why use this type of defragmentation First, in non-Enterprise editions of SQL Server it is the only online defragmentation utility. The operation grabs short-term locks on a pair of pages at a time to determine whether they are in the correct order, and if they are not, it swaps them. Second, an index rebuild must run as a single transaction, and if it s aborted while in process, the whole activity is rolled back. This is unlike an index reorganize operation, which can be interrupted as it operates on a pair of pages at a time. When you later run the reorganize activity again, it will pick up where it left off earlier. Here s how you reorganize the idx_cl_od index:



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ALTER INDEX idx_cl_od ON dbo.Orders REORGANIZE;

This section only scratches the surface of working with the image controls . However, you can see that you have much flexibility in defining how images look and behave .

The digit placeholder causes a digit or nothing to appear in the output string. For example:

SQL Server supports native partitioning of tables and indexes. Partitioning your objects means that they are internally split into multiple physical units that together make the object (table or index). Partitioning is virtually unavoidable in medium to large environments. By partitioning your objects, you improve the manageability and maintainability of your system, and you improve the performance of activities such as purging historic data, data loads, and others. Partitioning

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One of the most common user interface conventions in modern software is a hierarchy represented by expandable nodes . For example, whenever you browse for a file using Windows Explorer, you need to expand and collapse various folders (subdirectories) to see what s inside . This type of control is generically known as a tree control . With tree controls, users can navigate hierarchies represented by expandable and collapsible nodes . For example, when you explore your C drive using Windows Explorer and the Classic Windows theme, the directories appear as closed folders with small plus signs next to them . When you click a plus sign, Windows Explorer displays an open folder and then shows the subdirectories listed under that folder . If there are nested subdirectories, you can open them the same way . Other themes use slightly different means of expanding and collapsing nodes . ASP .NET provides this functionality through the TreeView . It s useful any time you want to represent a nested data structure and have a way of drilling down into it .

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in SQL Server is native that is, you have built-in tools to partition the tables and indexes, while, logically, to the applications and users they appear as whole units. You need to know some important details about querying and query tuning when your tables and indexes are partitioned. 11, Querying Partitioned Tables, covers the subject in detail.

When conducting performance tests, it is vital that the sample data you use be well prepared so that it re ects the production system as closely as possible, especially with respect to the factors you are trying to tune. Typically, it s not realistic to just copy all the data from the production tables, at least not with the big ones. However, you should make your best effort to have an adequate representation that re ects similar data distribution, density of keys, cardinality, and so on. You also want your queries against the test system to have similar selectivity to the queries against the production system. Performance tests can be skewed when the sample data does not adequately represent the production data. In this section, I ll provide an example of skewed performance testing results resulting from inadequate sample data. I ll also discuss the TABLESAMPLE option.

The decimal point identifies the position of the first decimal place. For example:

The following exercise explains the TreeView control by showing a hierarchical, expandable list of 1970s bands that are still around today . The example illustrates the hierarchical nature of the bands by showing the name of the band followed by a list of roles performed by each particular member .

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