Where (SQL)
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A WHERE
clause in SQL specifies that a SQL Data Manipulation Language (DML) statement should only affect rows that meet specified criteria. The criteria are expressed in the form of predicates. WHERE
clauses are not mandatory clauses of SQL DML statements, but can be used to limit the number of rows affected by a SQL DML statement or returned by a query. In brief SQL WHERE clause is used to extract only those results from a SQL statement, such as: SELECT
, INSERT
, UPDATE
, or DELETE
statement.[1]
Overview
[edit]WHERE
is an SQL reserved word.
The WHERE
clause is used in conjunction with SQL DML statements, and takes the following general form:
SQL-DML-Statement FROM table_name WHERE predicate
all rows for which the predicate in the WHERE
clause is True are affected (or returned) by the SQL DML statement or query. Rows for which the predicate evaluates to False or Unknown (NULL) are unaffected by the DML statement or query.
The following query returns only those rows from table mytable where the value in column mycol is greater than 100.
SELECT * FROM mytable WHERE mycol > 100
The following DELETE
statement removes only those rows from table mytable where the column mycol is either NULL or has a value that is equal to 100.
DELETE FROM mytable WHERE mycol IS NULL OR mycol = 100
Predicates
[edit]Simple predicates use one of the operators =
, <>
, >
, >=
, <
, <=
, IN
, BETWEEN
, LIKE
, IS NULL
or IS NOT NULL
.
Predicates can be enclosed in parentheses if desired. The keywords AND
and OR
can be used to combine two predicates into a new one. If multiple combinations are applied, parentheses can be used to group combinations to indicate the order of evaluation. Without parentheses, the AND
operator has a stronger binding than OR
.
The following example deletes rows from mytable where the value of mycol is greater than 100, and the value of item is equal to the string literal 'Hammer':
DELETE FROM mytable WHERE mycol > 100 AND item = 'Hammer'
IN
[edit]IN
will find any values existing in a set of candidates.
SELECT ename WHERE ename IN ('Montreal', 'Quebec')
All rows match the predicate if their value is one of the candidate set of values. This is the same behavior as
SELECT ename WHERE ename='value1' OR ename='value2'
except that the latter could allow comparison of several columns, which each IN
clause does not. For a larger number of candidates, IN
is less verbose.
BETWEEN
[edit]BETWEEN
will find any values within a range.
SELECT ename WHERE ename BETWEEN 'value1' AND 'value2'
SELECT salary from emp WHERE salary BETWEEN 5000 AND 10000
All rows match the predicate if their value is between 'value1' and 'value2', inclusive.
LIKE
[edit]LIKE
will find a string fitting a certain description.
- Ending wildcard
- Find any string that begins with the letter 'S'
SELECT ename FROM emp WHERE ename LIKE 'S%';
- Find any string that begins with the letter 'S'
- Leading wildcard
- Find any string that ends with the letter 'S'
SELECT ename FROM emp WHERE ename LIKE '%S';
- Find any string that ends with the letter 'S'
- Multiple wildcards
- Find any string that contains, anywhere, the letter 'S'
SELECT ename FROM emp WHERE ename LIKE '%S%';
- Find any string that contains, anywhere, the letter 'S'
- Single character wildcard
- Find any string that contains the letter 'A' followed by any single character followed by the letter 'E'
SELECT ename FROM emp WHERE ename LIKE '%A_E%';
- Find any string that contains the letter 'A' followed by any single character followed by the letter 'E'
- Character classes[2]
- Find any string that starts with a letter or number or the symbol '_'
SELECT ename FROM emp WHERE ename LIKE '[a-zA-Z0-9_]%';
- Find any string that starts with a letter or number or the symbol '_'
The LIKE predicate typically performs a search without the normal performance benefit of indexes. Using '=', '<>', etc.. instead will increase performance. Case sensitivity (e.g., 'S' versus 's') may be different based upon database product or configuration.
SIMILAR TO
[edit]This one is used in PostgresSQL that supports regular expressions with the following syntax:[3]
string [NOT] SIMILAR TO pattern [ESCAPE escape-character]
It works similarly to LIKE statement mentioned above.
References
[edit]- ^ "SQL WHERE Clause – Things beginners must know".
- ^ Microsoft TechnetRetrieved 21 November 2013.
- ^ "9.7. Pattern Matching". PostgreSQL Documentation. 2023-05-11. Retrieved 2023-06-10.
External links
[edit]- PSOUG Home Puget Sound Oracle Users Group gives several examples of SELECT statements with WHERE clauses.