Views in SQL Server are virtual tables that are based on the result of a SELECT query. They provide a way to simplify complex queries and encapsulate the underlying table structures. This tutorial will guide you through the creation, modification, and usage of views in SQL Server.
3.5.1 Creating Views
To create a view, use the CREATE VIEW
statement followed by the view name and the SELECT query defining the view's structure.
sqlCREATE VIEW [view_name] AS
SELECT column1, column2, ...
FROM table_name
WHERE condition;
Let's create a simple view:
sqlCREATE VIEW EmployeeView AS
SELECT EmployeeID, FirstName, LastName
FROM Employees
WHERE Department = 'IT';
3.5.2 Modifying Views
Views can be modified using the ALTER VIEW
statement. You can add, remove, or modify columns, as well as redefine the SELECT query.
sqlALTER VIEW [view_name] AS
SELECT new_column1, new_column2, ...
FROM new_table
WHERE new_condition;
Example:
sqlALTER VIEW EmployeeView AS
SELECT EmployeeID, FirstName, LastName, Salary
FROM Employees
WHERE Department = 'IT';
3.5.3 Querying Views
Once created, views can be queried just like tables. Use the SELECT
statement to retrieve data from a view.
sqlSELECT * FROM EmployeeView;
You can join views with other tables or views to create more complex queries:
sqlSELECT EmployeeView.EmployeeID, EmployeeView.FirstName, EmployeeView.LastName, Department.DepartmentName
FROM EmployeeView
INNER JOIN Department ON EmployeeView.DepartmentID = Department.DepartmentID;
3.5.4 Indexing Views
Views themselves do not store data; they retrieve data dynamically from the underlying tables. However, you can create an index on a view to improve query performance.
sql-- Create an index on a view
CREATE INDEX IX_EmployeeView_DepartmentID
ON EmployeeView (DepartmentID);
3.5.5 Dropping Views
To remove a view, use the DROP VIEW
statement:
sqlDROP VIEW [view_name];
Be cautious when dropping views, as it will permanently remove the view and its definition.
sqlDROP VIEW EmployeeView;
Conclusion
Views are powerful tools in SQL Server for simplifying queries, enhancing security, and providing a layer of abstraction over the underlying database structure. By mastering views, you can efficiently manage and manipulate data in your SQL Server databases.