If your application needs to access views often, consider adding a unique clustered index to your views to significantly improve performance. When a view is created with a unique clustered index, the view is created with the clustered index, which is created and stored in the database the same way as a clustered index on a table.
Once a unique clustered index has been created for a view, you can also create non-clustered indexes for the same view, which can be used by queries against the view to enhance performance.
As the underlying tables of the view are modified, the clustered index, and any non-clustered indexes of the view, is modified so that it is always up-to-date when it is accessed. And just like indexes on tables, indexes on views experience modification overhead. So only add an index to a view if the benefit of its speed increase when running exceeds the time it takes to update the view's index.
Indexed views can be used by SQL Server two different ways. First, the view can be called directly from a query, as conventional views are currently used. But instead of running the view's underlying SELECT statement and creating the view's result set on the fly, it uses the unique clustered index to display the results of the view almost immediately. Second, any query that is run on SQL Server 2000/2005 is automatically evaluated to see if any existing indexed views exist that would fulfill the query. If so, the Query Optimizer uses the indexed query, even though it has not been specified in the query, greatly speeding the query.
To get the most benefit out of indexed views, you need to use the SQL Server 2000/2005 Enterprise Edition. While you can create indexed views in the other editions of SQL Server 2000/2005, they will not be automatically considered by the query optimizer, and they require the use of the NOEXPAND hint to be used. [2000, 2005]
Performance of the SQL MERGE vs. INSERT/UPDATE
-
MERGE is designed to apply both UPDATE and INSERTs into a target table from
a source table. The statement can do both at once, or simply do INSERTs or
on...
No comments:
Post a Comment