SQLite Aliases
You can temporarily rename a table or column to another name, which is calledan alias. Using a table alias means renaming a table in a specific SQLite statement. The renaming is a temporary change; the actual name of the table in the database does not change.
A column alias is used to rename a column in a table for a specific SQLite statement.
Syntax
TableThe basic syntax of aliases is as follows:
SELECT column1, column2.... FROM table_name AS alias_name WHERE [condition];
ColumnThe basic syntax of aliases is as follows:
SELECT column_name AS alias_name FROM table_name WHERE [condition];
Examples
Assume there are the following two tables: (1) The COMPANY table is 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) The other 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, the following is thetable aliasusage. Here 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 Engineerin 3 Teddy 23 Engineerin 4 Mark 25 Finance 5 David 27 Engineerin 6 Kim 22 Finance 7 James 24 Finance
Let us look at acolumn aliasexample, where COMPANY_ID is the alias for the ID column and COMPANY_NAME is the 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 Engineerin 3 Teddy 23 Engineerin 4 Mark 25 Finance 5 David 27 Engineerin 6 Kim 22 Finance 7 James 24 FinanceOther Extensions