SQLite Alias
You can temporarily rename a table or column to another name, which is known as an alias. Using a table alias means renaming a table within a specific SQLite statement. The renaming is a temporary change, and the actual name of the table in the database remains unchanged.
A column alias is used to rename a column in a table for a specific SQLite statement.
Syntax
The basic syntax for table aliases is as follows:
SELECT column1, column2....
FROM table_name AS alias_name
WHERE [condition];
The basic syntax for column aliases is as follows:
SELECT column_name AS alias_name
FROM table_name
WHERE [condition];
Example
Suppose there are two tables, (1) the COMPANY table as shown below:
sqlite> select * from COMPANY;
ID NAME AGE ADDRESS SALARY
---------- -------------------- ---------- ---------- ----------
1 Paul 32 California 20000.0
2 Allen 25 Texas 15000.0
3 Teddy 23 Norway 20000.0
4 Mark 25 Rich-Mond 65000.0
5 David 27 Texas 85000.0
6 Kim 22 South-Hall 45000.0
7 James 24 Houston 10000.0
(2) Another table is DEPARTMENT, as shown below:
ID DEPT EMP_ID
---------- -------------------- ----------
1 IT Billing 1
2 Engineering 2
3 Finance 7
4 Engineering 3
5 Finance 4
6 Engineering 5
7 Finance 6
Now, here is the usage of table aliases, where we use C and D as aliases for the COMPANY and DEPARTMENT tables respectively:
sqlite> SELECT C.ID, C.NAME, C.AGE, D.DEPT
FROM COMPANY AS C, DEPARTMENT AS D
WHERE C.ID = D.EMP_ID;
The above SQLite statement will produce the following result:
ID NAME AGE DEPT
---------- ---------- ---------- ----------
1 Paul 32 IT Billing
2 Allen 25 Engineering
3 Teddy 23 Engineering
4 Mark 25 Finance
5 David 27 Engineering
6 Kim 22 Finance
7 James 24 Finance
Let's look at an example of column aliases, where COMPANY_ID is an alias for the ID column, and COMPANY_NAME is an alias for the name column:
sqlite> SELECT C.ID AS COMPANY_ID, C.NAME AS COMPANY_NAME, C.AGE, D.DEPT
FROM COMPANY AS C, DEPARTMENT AS D
WHERE C.ID = D.EMP_ID;
The above SQLite statement will produce the following result:
COMPANY_ID COMPANY_NAME AGE DEPT
---------- ------------ ---------- ----------
1 Paul 32 IT Billing
2 Allen 25 Engineering
3 Teddy 23 Engineering
4 Mark 25 Finance
5 David 27 Engineering
6 Kim 22 Finance
7 James 24 Finance