This section describes the SQL-compliant conditional expressions available in PostgreSQL.
Tip: If your needs go beyond the capabilities of these conditional expressions, you might want to consider writing a stored procedure in a more expressive programming language.
The SQL CASE expression is a generic conditional expression, similar to if/else statements in other programming languages:
CASE WHEN condition THEN result [WHEN ...] [ELSE result] END
CASE clauses can be used wherever an expression is valid. Each condition is an expression that returns a boolean result. If the condition's result is true, the value of the CASE expression is the result that follows the condition, and the remainder of the CASE expression is not processed. If the condition's result is not true, any subsequent WHEN clauses are examined in the same manner. If no WHEN condition yields true, the value of the CASE expression is the result of the ELSE clause. If the ELSE clause is omitted and no condition is true, the result is null.
SELECT * FROM test; a --- 1 2 3 SELECT a, CASE WHEN a=1 THEN 'one' WHEN a=2 THEN 'two' ELSE 'other' END FROM test; a | case ---+------- 1 | one 2 | two 3 | other
The data types of all the result expressions must be convertible to a single output type. See Section 10.5 for more details.
There is a "simple" form of CASE expression that is a variant of the general form above:
CASE expression WHEN value THEN result [WHEN ...] [ELSE result] END
The first expression is
computed, then compared to each of the value expressions in the WHEN clauses until one is found that is equal to it.
If no match is found, the result of
the ELSE clause (or a null value) is
returned. This is similar to the
switch statement in C.
The example above can be written using the simple CASE syntax:
SELECT a, CASE a WHEN 1 THEN 'one' WHEN 2 THEN 'two' ELSE 'other' END FROM test; a | case ---+------- 1 | one 2 | two 3 | other
A CASE expression does not evaluate any subexpressions that are not needed to determine the result. For example, this is a possible way of avoiding a division-by-zero failure:
SELECT ... WHERE CASE WHEN x <> 0 THEN y/x > 1.5 ELSE false END;
Note: As described in Section 4.2.14, there are various situations in which subexpressions of an expression are evaluated at different times, so that the principle that "CASE evaluates only necessary subexpressions" is not ironclad. For example a constant 1/0 subexpression will usually result in a division-by-zero failure at planning time, even if it's within a CASE arm that would never be entered at run time.
COALESCE(value [, ...])
COALESCE function returns the
first of its arguments that is not null. Null is returned only if
all arguments are null. It is often used to substitute a default
value for null values when data is retrieved for display, for
SELECT COALESCE(description, short_description, '(none)') ...
This returns description if it is not null, otherwise short_description if it is not null, otherwise (none).
Like a CASE expression,
COALESCE only evaluates the arguments that are
needed to determine the result; that is, arguments to the right of
the first non-null argument are not evaluated. This SQL-standard
function provides capabilities similar to
which are used in some other database systems.
NULLIF function returns a null
value if value1 equals value2; otherwise it returns value1. This can be used to perform the
inverse operation of the
example given above:
SELECT NULLIF(value, '(none)') ...
In this example, if value is (none), null is returned, otherwise the value of value is returned.
GREATEST(value [, ...])
LEAST(value [, ...])
LEAST functions select the largest or smallest
value from a list of any number of expressions. The expressions
must all be convertible to a common data type, which will be the
type of the result (see Section
10.5 for details). NULL values in the list are ignored. The
result will be NULL only if all the expressions evaluate to
LEAST are not in the SQL standard,
but are a common extension. Some other databases make them return
NULL if any argument is NULL, rather than only when all are