A 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. 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:, , , or statement.

Overview

is an SQL reserved word. The clause is used in conjunction with SQL DML statements, and takes the following general form: all rows for which the predicate in the 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. The following statement removes only those rows from table mytable where the column mycol is either NULL or has a value that is equal to 100.

Predicates

Simple predicates use one of the operators, , , , , , , , , or. Predicates can be enclosed in parentheses if desired. The keywords and 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 operator has a stronger binding than. 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':

IN

will find any values existing in a set of candidates. All rows match the predicate if their value is one of the candidate set of values. This is the same behavior as except that the latter could allow comparison of several columns, which each clause does not. For a larger number of candidates, is less verbose.

BETWEEN

will find any values within a range. All rows match the predicate if their value is between 'value1' and 'value2', inclusive.

LIKE

will find a string fitting a certain description. 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

This one is used in PostgresSQL that supports regular expressions with the following syntax: It works similarly to LIKE statement mentioned above.