What’s the purpose of SQL keyword “AS”? – This article will take you through the common SQL errors that you might encounter while working with sql, , . The wrong arrangement of keywords will certainly cause an error, but wrongly arranged commands may also be an issue. SQL keyword errors occur when one of the words that the SQL query language reserves for its commands and clauses is misspelled. If the user wants to resolve all these reported errors, without finding the original one, what started as a simple typo, becomes a much bigger problem.
SQL Problem :
You can set table aliases in SQL typing the identifier right after the table name.
SELECT * FROM table t1;
You can even use the keyword AS
to indicate the alias.
SELECT * FROM table AS t1;
What’s the difference between them if any?
I see old DBA people tend to write statements without AS
, but most of the new tutorials use it.
Update: I know what’s the purpose of table and column aliases. I’m curious, what’s the reason of having a separate keyword for setting aliases while it works without it as well.
Solution :
There is no difference between both statements above. AS is just a more explicit way of mentioning the alias
Everyone who answered before me is correct. You use it kind of as an alias shortcut name for a table when you have long queries or queries that have joins. Here’s a couple examples.
Example 1
SELECT P.ProductName,
P.ProductGroup,
P.ProductRetailPrice
FROM Products AS P
Example 2
SELECT P.ProductName,
P.ProductRetailPrice,
O.Quantity
FROM Products AS P
LEFT OUTER JOIN Orders AS O ON O.ProductID = P.ProductID
WHERE O.OrderID = 123456
Example 3
It’s a good practice to use the AS keyword, and very recommended, but it is possible to perform the same query without one (and I do often).
SELECT P.ProductName,
P.ProductRetailPrice,
O.Quantity
FROM Products P
LEFT OUTER JOIN Orders O ON O.ProductID = P.ProductID
WHERE O.OrderID = 123456
As you can tell, I left out the AS keyword in the last example. And it can be used as an alias.
Example 4
SELECT P.ProductName AS "Product",
P.ProductRetailPrice AS "Retail Price",
O.Quantity AS "Quantity Ordered"
FROM Products P
LEFT OUTER JOIN Orders O ON O.ProductID = P.ProductID
WHERE O.OrderID = 123456
Output of Example 4
Product Retail Price Quantity Ordered
Blue Raspberry Gum $10 pk/$50 Case 2 Cases
Twizzler $5 pk/$25 Case 10 Cases
When you aren’t sure which syntax to choose, especially when there doesn’t seem to be much to separate the choices, consult a book on heuristics. As far as I know, the only heuristics book for SQL is ‘Joe Celko’s SQL Programming Style’:
A correlation name is more often
called an alias, but I will be formal.
In SQL-92, they can have an optional
AS
operator, and it should be used
to make it clear that something is
being given a new name. [p16]
This way, if your team doesn’t like the convention, you can blame Celko — I know I do 😉
UPDATE 1: IIRC for a long time, Oracle did not support the AS
(preceding correlation name) keyword, which may explain why some old timers don’t use it habitually.
UPDATE 2: the term ‘correlation name’, although used by the SQL Standard, is inappropriate. The underlying concept is that of a ‘range variable’.
UPDATE 3: I just re-read what Celko wrote and he is wrong: the table is not being renamed! I now think:
A correlation name is more often called an alias, but I will be formal. In Standard SQL they can have an optional
AS
keyword but it should not be used because it may give the impression that something is being renamed when it is not. In fact, it should be omitted to enforce the point that it is a range variable.
The AS
keyword is to give an ALIAS name to your database table or to table column. In your example, both statement are correct but there are circumstance where AS clause is needed (though the AS
operator itself is optional), e.g.
SELECT salary * 2 AS "Double salary" FROM employee;
In this case, the Employee
table has a salary
column and we just want the double of the salary with a new name Double Salary
.
Sorry if my explanation is not effective.
Update based on your comment, you’re right, my previous statement was invalid. The only reason I can think of is that the AS
clause has been in existence for long in the SQL world that it’s been incorporated in nowadays RDMS for backward compatibility..
The use is more obvious if you don’t use ‘SELECT *’ (which is a bad habit you should get out of):
SELECT t1.colA, t2.colB, t3.colC FROM alongtablename AS t1, anotherlongtablename AS t2, yetanotherlongtablename AS t3 WHERE t1.colD = t2.colE...
The AS
in this case is an optional keyword defined in ANSI SQL 92 to define a <<correlation name>
,commonly known as alias for a table.
<table reference> ::=
<table name> [ [ AS ] <correlation name>
[ <left paren> <derived column list> <right paren> ] ]
| <derived table> [ AS ] <correlation name>
[ <left paren> <derived column list> <right paren> ]
| <joined table>
<derived table> ::= <table subquery>
<derived column list> ::= <column name list>
<column name list> ::=
<column name> [ { <comma> <column name> }... ]
Syntax Rules
1) A <correlation name> immediately contained in a <table refer-
ence> TR is exposed by TR. A <table name> immediately contained
in a <table reference> TR is exposed by TR if and only if TR
does not specify a <correlation name>.
It seems a best practice NOT to use the AS
keyword for table aliases as it is not supported by a number of commonly used databases.
In the early days of SQL, it was chosen as the solution to the problem of how to deal with duplicate column names (see below note).
To borrow a query from another answer:
SELECT P.ProductName,
P.ProductRetailPrice,
O.Quantity
FROM Products AS P
INNER JOIN Orders AS O ON O.ProductID = P.ProductID
WHERE O.OrderID = 123456
The column ProductID
(and possibly others) is common to both tables and since the join condition syntax requires reference to both, the ‘dot qualification’ provides disambiguation.
Of course, the better solution was to never have allowed duplicate column names in the first place! Happily, if you use the newer NATURAL JOIN
syntax, the need for the range variables P
and O
goes away:
SELECT ProductName, ProductRetailPrice, Quantity
FROM Products NATURAL JOIN Orders
WHERE OrderID = 123456
But why is the AS
keyword optional? My recollection from a personal discussion with a member of the SQL standard committee (either Joe Celko or Hugh Darwen) was that their recollection was that, at the time of defining the standard, one vendor’s product (Microsoft’s?) required its inclusion and another vendor’s product (Oracle’s?) required its omission, so the compromise chosen was to make it optional. I have no citation for this, you either believe me or not!
In the early days of the relational model, the cross product (or theta-join or equi-join) of relations whose headings are not disjoint appeared to produce a relation with two attributes of the same name; Codd’s solution to this problem in his relational calculus was the use of dot qualification, which was later emulated in SQL (it was later realised that so-called natural join was primitive without loss; that is, natural join can replace all theta-joins and even cross product.)
It’s a formal way of specifying a correlation name for an entity so that you can address it easily in another part of the query.
If you design query using the Query editor in SQL Server 2012 for example you would get this:
SELECT e.EmployeeID, s.CompanyName, o.ShipName
FROM Employees AS e INNER JOIN
Orders AS o ON e.EmployeeID = o.EmployeeID INNER JOIN
Shippers AS s ON o.ShipVia = s.ShipperID
WHERE (s.CompanyName = 'Federal Shipping')
However removing the AS does not make any difference as in the following:
SELECT e.EmployeeID, s.CompanyName, o.ShipName
FROM Employees e INNER JOIN
Orders o ON e.EmployeeID = o.EmployeeID INNER JOIN
Shippers s ON o.ShipVia = s.ShipperID
WHERE (s.CompanyName = 'Federal Shipping')
In this case use of AS is superfluous but in many other places it is needed.
Finding SQL syntax errors can be complicated, but there are some tips on how to make it a bit easier. Using the aforementioned Error List helps in a great way. It allows the user to check for errors while still writing the project, and avoid later searching through thousands lines of code.