Conditional Expressions
PostgreSQL 9.5.4 Documentation | |||
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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.
9.17.1. CASE
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.
An example:
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.
9.17.2. COALESCE
COALESCE
(value [, ...])
The
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 example:
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
NVL
and
IFNULL
, which are used in some other
database systems.
9.17.3. NULLIF
NULLIF
(value1, value2)
The
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
COALESCE
example given above:
SELECT NULLIF(value, '(none)') ...
In this example, if value is (none) , null is returned, otherwise the value of value is returned.
9.17.4. GREATEST and LEAST
GREATEST
(value [, ...])
LEAST
(value [, ...])
The
GREATEST
and
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 NULL.
Note that
GREATEST
and
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 NULL.