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There are many limitations with which a view must comply to be converted to an indexed view: The view must be created using the With Schemabinding option. The view must reference only tables not other views, derived tables, rowset functions, or subqueries. All base tables must have the same owner as the view. The view cannot join tables from more than one database. The view cannot contain an outer or self-join. The view cannot have a Union clause, Top clause, Order By clause, or Distinct keyword. Some aggregate functions are not allowed: Count(*) [use Count_Big(*) instead], Avg(), Max(), Min(), Stdev(), Stdevp(), Var(), or Varp(). But all of these aggregate functions can be reengineered using valid functions [such as Sum() and Count_Big(*)]. If a query contains a Group By clause, it must contain Count_Big(*) in the Select list. The view and all base tables must be created with Set Ansi_Nulls On. All tables and user-defined functions in the view must be referenced using two-part names (owner.dbobject).
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All columns must be explicitly specified Select * is not allowed. The view cannot contain text, ntext, or image columns. Having, Rollup, Cube, Compute, and Compute By clauses are not allowed. The same table column must not be converted to more than a single view column. You can only create indexed views in SQL Server 2000 Enterprise Edition or SQL Server 2000 Developer Edition. The Create Index statement and all subsequent Insert, Update, and Delete statements must be executed with the following option settings (explicitly or implicitly):
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Set Set Set Set Set Set Set ANSI_NULLS ON ANSI_PADDING ON ANSI_WARNINGS ON ARITHABORT ON CONCAT_NULL_YIELDS_NULL ON QUOTED_IDENTIFIERS ON NUMERIC_ROUNDABORT OFF
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Optimizer treats indexed views as tables. SQL Server simply joins them with other tables. There is one exception Optimizer can use an indexed view even when the view is not explicitly referenced in the query (when the query is referencing only some of the base tables). SQL Server compares the cost of the execution plan with base tables and the execution plan with the indexed view and chooses the cheapest one. You can force SQL Server to ignore the indexed view using the Expand View hint. Conversely, you can also force SQL Server to use the indexed view using the Noexpand hint.
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Once a clustered index is added to a view, you can add more nonclustered indexes:
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CREATE INDEX idxvLaptopInventory_MakeModel ON vLaptopInventory (Make, Model)
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Performance Implications
Indexed views typically improve the performance of data warehouse systems and other systems that predominantly have queries that read data. On the other hand,
C h a p t e r 8 : S p e c i a l Ty p e s o f P r o c e d u r e s
indexed views can reduce the performance of OLTP systems. Updates to an indexed view become part of transactions that modify the base tables. This fact may increase the cost of OLTP transactions and offset the savings achieved on read operations.
Partitioned Views
Views can be a very useful tool for managing very large databases (VLDBs). Typically, data warehouse systems contain huge volumes of uniform data. A textbook example is a retailer that collects information about sales over years. Some analyses would process many years of data, but others would focus on only a few months or the current year. If everything were in a single table, queries and management of data would become increasingly difficult. In such a scenario, the retailer s sales information would be split into several horizontally partitioned tables such as OrderItem2000, OrderItem2001, and OrderItem2002. For analyses (queries) that span all tables, you can create a view that puts them all together:
Create View vOrderItem as select * from OrderItem2000 UNION ALL select * from OrderItem2001 UNION ALL select * from OrderItem2002
Horizontal and Vertical Partitioning
Views based on multiple instances of the same table are called partitioned views. A horizontal partitioning occurs when different subsets of records are stored in different table instances (as in the preceding example). It is also possible to do vertical partitioning to put columns in separate tables based on the frequency with which they are needed. On wide tables, each record occupies a substantial amount of space. Since each data page is limited to 8KB, a smaller number of records can fit onto a single data page. As a result, the number of IO operations needed to access a large number of records is much higher. To reduce it, we can put frequently used fields in one table and other fields in a second table. The tables will have a one-to-one relationship. In the following example, the InventorySum table has been split into InventoryPrim and InventorySec tables:
CREATE TABLE [dbo].[InventoryPrim] ( [Inventoryid] [int] NOT NULL , [Make] [varchar] (50) NULL , [Model] [varchar] (50) NULL ,
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