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title Aliasing
description Aliasing in Azure SQL Data Warehouse and Parallel Data Warehouse.
titleSuffix Azure SQL Data Warehouse
ms.custom seo-lt-2019
ms.date 03/16/2017
ms.prod sql
ms.reviewer
ms.technology t-sql
ms.topic conceptual
ms.assetid 7b3a5c74-05cf-4385-8ee6-6176d003cb8a
author shkale-msft
ms.author shkale
monikerRange >= aps-pdw-2016 || = azure-sqldw-latest || = sqlallproducts-allversions

Aliasing (Azure SQL Data Warehouse, Parallel Data Warehouse)

[!INCLUDEtsql-appliesto-xxxxxx-xxxx-asdw-pdw-md]

Aliasing allows the temporary substitution of a short and easy-to-remember string in place of a table or column name in [!INCLUDEssSDW] or [!INCLUDEssPDW][!INCLUDEDWsql] queries. Table aliases are often used in JOIN queries because the JOIN syntax requires fully qualified object names when referencing columns.

Aliases must be single words conforming to object naming rules. For more information, see "Object Naming Rules" in the [!INCLUDEpdw-product-documentation]. Aliases cannot contain blank spaces and cannot be enclosed in either single or double quotes.

Syntax

object_source [ AS ] alias

Arguments

object_source
The name of the source table or column.

AS
An optional alias preposition. When working with range variable aliasing, the AS keyword is prohibited.

alias
The desired temporary reference name for the table or column. Any valid object name can be used. For more information, see "Object Naming Rules" in the [!INCLUDEpdw-product-documentation].

Examples: [!INCLUDEssSDW] and [!INCLUDEssPDW]

The following example shows a query with multiple joins. Both table and column aliasing are demonstrated in this example.

  • Column Aliasing: Both columns and expressions involving columns in the select list are aliased in this example. SalesTerritoryRegion AS SalesTR demonstrates a simple column alias. Sum(SalesAmountQuota) AS TotalSales demonstrates

  • Table Aliasing: dbo.DimSalesTerritory AS st shows creation of the st alias for the dbo.DimSalesTerritory table.

-- Uses AdventureWorks  
  
SELECT LastName, SUM(SalesAmountQuota) AS TotalSales, SalesTerritoryRegion AS SalesTR,  
    RANK() OVER (PARTITION BY SalesTerritoryRegion ORDER BY SUM(SalesAmountQuota) DESC ) AS RankResult  
FROM dbo.DimEmployee AS e  
INNER JOIN dbo.FactSalesQuota AS sq ON e.EmployeeKey = sq.EmployeeKey  
INNER JOIN dbo.DimSalesTerritory AS st ON e.SalesTerritoryKey = st.SalesTerritoryKey  
WHERE SalesPersonFlag = 1 AND SalesTerritoryRegion != N'NA'  
GROUP BY LastName, SalesTerritoryRegion;

The AS keyword can be excluded, as shown below, but is often included for readability.

-- Uses AdventureWorks  
  
SELECT LastName, SUM(SalesAmountQuota) TotalSales, SalesTerritoryRegion SalesTR,  
RANK() OVER (PARTITION BY SalesTerritoryRegion ORDER BY SUM(SalesAmountQuota) DESC ) RankResult  
FROM dbo.DimEmployee e  
INNER JOIN dbo.FactSalesQuota sq ON e.EmployeeKey = sq.EmployeeKey  
INNER JOIN dbo.DimSalesTerritory st ON e.SalesTerritoryKey = st.SalesTerritoryKey  
WHERE SalesPersonFlag = 1 AND SalesTerritoryRegion != N'NA'  
GROUP BY LastName, SalesTerritoryRegion;

See Also

SELECT (Transact-SQL)
INSERT (Transact-SQL)
UPDATE (Transact-SQL)