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With the introduction of filtered indexes in SQL Server 2008, you can create indexes for subsets of data. The data stored within a filtered index is restricted only to rows meeting the WHERE clause that you specify. Consider filtered indexes as nonclustered indexes optimized for performance. With a smaller subset of data, retrievals from a filtered index will be faster, storage of the index on disk will be smaller, and maintenance of the index will cost less and happen less frequently because writes only occur when data meeting the filter specification is modified. The following list describes some things that you should consider before creating filtered indexes. Data accessibility: When creating filtered indexes, understanding your data is even more important. Make sure that your filtered indexes will be for subsets of data that are meaningful for your application. If you frequently query only Ford automobiles by the number of seating positions, then a filtered index on number_of_seats specifying where make= Ford might make sense. But specifying where make= GM in that case would be silly. Choose subsets wisely: When deciding to create a filtered index on a subset of data, make sure the query optimizer will find the filtered index useful. Think about using filtered indexes to help queries that filter through unpopulated key values or useless values that the application does not care about. Have you ever supported an application that

You can use values greater than 1 or less than 0 when setting the RenderTransformOrigin property to Tip

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stopped using a particular value in a field The primary type of data queried used to be 1 3, but now the new version of the application only populates and retrieves values 5 7 Filtered indexes are useful in such scenarios because they keep currently unused key values out of your nonclustered indexes Cover your queries: Make sure the query optimizer utilizes your filtered indexes by ensuring that they cover the intended queries Limit the number of includes and key columns that exist in the filtered indexes If the performance of your queries is fast enough just from creating filtered indexes alone, then you may not even have to add any include columns to those indexes The bottom line: Make sure unused columns are not added to your indexes To create a filtered index, write a WHERE clause into your creation statement.

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designate a point that appears outside the bounding box of your shape. For example, you can use this technique with a RotateTransform to rotate a shape in a large arc around a very distant point, such as (5, 5).

The following syntax shows how and where to do that: CREATE [CLUSTERED | NONCLUSTERED] INDEX index_name ON <object>(column [ASC | DESC], [,..]) [INCLUDE ( column_name [,..n]) WHERE <filter_predicate> [WITH (relational_index_options [,..n]) One example to demonstrate the usefulness of filtered indexes comes from an invoice system Companies often provide goods and services for their customers and bill them later These companies keep track of the invoices that they mail their customers and often generate reports or retrieve information pertaining to the unpaid invoices With filtered indexes, you can create an index that only contains unpaid invoices Such an index might be very useful when created on a table containing all invoices Imagine a collection group that queries the table a number of times to contact customers for payment.

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