SQL Server BasicsWhat is SQL Server database?What is RDBMS?What is Normalization?Why we use Denormalization?What_is_SQL?What is PL/SQL?Difference between SQL and PL/SQLDatabase TableOne to One RelationshipOne to Many RelationshipMany to Many RelationshipMany to One RelationshipString Data TypesNumber Data TypesDate Data TypesOther Data TypesCreate DatabaseDrop DatabaseCreating and Managing Users in SQL ServerCreate TableAlter TableDrop TableConstraints in SQL serverPrimary KeyForeign KeyUnique KeyCandidate KeyComposite KeyDifference between primary key and candidate keyPrimary key and foreign key relationshipSurrogate KeyCascading Referential Integrity ConstraintsSelf Referential Integrity ConstraintsInsert into statementInsert multiple recordsUpdate statementDelete statementTruncate statementDifference between Delete and TruncateAlias in SQL ServerSelect statementSelect DistinctSelect TopSelect IntoNull Functions(ISNULL(),NULLIF(),COALESCE())Sub QueryIdentity ColumnSequence objectDifference between sequence and identity columnSQL Server ClausesWHERE ClauseOrder By ClauseTop N ClauseGroup By ClauseHaving ClauseDifference between Where and HavingSQL Server OperatorsArithmetic OperatorsComparison OperatorsLogical OperatorsBitwise OperatorsAny OperatorsAll OperatorsUnion OperatorsUnion All OperatorsDifference between Union and Union AllIntersect OperatorExcept OperatorDifference between Except and IntersectJoinsInner JoinLeft JoinRight JoinFull JoinSelf JoinCross JoinViewsWhat are views?Create views using SSMSIndexed ViewsComplex ViewsCheck Option in ViewCheck Encryption in ViewSchema Binding Option in ViewRead-only ViewsUpdatable ViewsAdvantages and disadvantages of viewsCreate multiple views on one tableCan we implement index on views?Can we Perform Insert, update, delete operation on views?Stored Procedure and FunctionsWhat are Stored Procedures?Why we use stored procedures?Passing parameters to Stored procedureUser-Defined FunctionsDifference between UDF and Stored procedurePre-Defined Functions@@Indentity and Scope_IndentityNULLIF, ISNULL and COALESCE

Alias in SQL Server

In SQL Server, an alias is a temporary name assigned to a table, column, or expression within a query. Aliases are primarily used to improve the readability of SQL queries, simplify complex queries, and make the output more user-friendly. They are especially useful when working with long or complex table names, calculations, or when joining multiple tables. Aliases are temporary and exist only for the duration of the query.

Types of Aliases in SQL Server

There are two main types of aliases in SQL Server:

  1. Column Aliases: Used to rename a column in the result set.
  2. Table Aliases: Used to rename a table in the query.

1. Column Aliases

Column aliases are used to give a temporary name to a column in the result set. This is particularly useful when:

  • The column name is long or not descriptive.
  • The column is a result of a calculation or expression.
  • You want to make the output more readable.

Syntax for Column Aliases

SELECT column_name AS alias_name
FROM table_name;
  • column_name: The name of the column you want to alias.
  • alias_name: The temporary name you want to assign to the column.
  • The AS keyword is optional but recommended for clarity.

Example of Column Aliases

Consider a table named Employees with the following columns:

  • EmployeeID
  • FirstName
  • LastName
  • Salary

Suppose you want to retrieve the full name of employees and calculate their annual salary (assuming the Salary column represents monthly salary). You can use column aliases to make the output more readable:

SELECT 
EmployeeID,
FirstName + ' ' + LastName AS FullName,
Salary * 12 AS AnnualSalary
FROM Employees;
Output:
EmployeeID FullName AnnualSalary
1 John Doe 60000
2 Jane Smith 72000

2. Table Aliases

Table aliases are used to give a temporary name to a table in a query. This is particularly useful when:

  • Joining multiple tables with long names.
  • Writing complex queries involving self-joins or subqueries.
  • Improving query readability.

Syntax for Table Aliases

SELECT column_name
FROM table_name AS alias_name;
  • table_name: The name of the table you want to alias.
  • alias_name: The temporary name you want to assign to the table.
  • The AS keyword is optional.

Example of Table Aliases

Consider two tables: Employees and Departments.

  • Employees table:
    • EmployeeID
    • FirstName
    • LastName
    • DepartmentID
  • Departments table:
    • DepartmentID
    • DepartmentName

Suppose you want to retrieve the employee's full name along with their department name. You can use table aliases to simplify the query:

SELECT 
e.FirstName + ' ' + e.LastName AS FullName,
d.DepartmentName
FROM Employees AS e
JOIN Departments AS d
ON e.DepartmentID = d.DepartmentID;
Output:
FullName DepartmentName
John Doe HR
Jane Smith IT

Benefits of Using Aliases

  1. Improved Readability: Aliases make queries easier to read and understand, especially when dealing with long table or column names.
  2. Simplified Queries: Aliases reduce the amount of typing required, especially in complex queries involving multiple tables or calculations.
  3. Avoid Ambiguity: When joining tables with columns of the same name, aliases help avoid ambiguity by clearly specifying which table a column belongs to.
  4. Better Output: Column aliases can make the result set more user-friendly by providing meaningful names for calculated or concatenated columns.

Advanced Use Cases of Aliases

Self-Join Example

A self-join is a join where a table is joined with itself. Table aliases are essential in this scenario to differentiate between the two instances of the same table.

Consider an Employees table where each employee has a ManagerID that references another employee in the same table:

SELECT 
e1.FirstName + ' ' + e1.LastName AS EmployeeName,
e2.FirstName + ' ' + e2.LastName AS ManagerName
FROM Employees AS e1
LEFT JOIN Employees AS e2
ON e1.ManagerID = e2.EmployeeID;
Output:
EmployeeName ManagerName
John Doe Jane Smith
Jane Smith NULL

Conclusion

Aliases in SQL Server are a powerful feature that enhances the readability, simplicity, and efficiency of SQL queries. Whether you’re working with column aliases to rename result set columns or table aliases to simplify joins and subqueries, aliases make your queries more intuitive and maintainable. By mastering the use of aliases, you can write cleaner and more efficient SQL code, making your database interactions more effective.