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9.2. Comparison Functions and Operators #

The usual comparison operators are available, as shown in Table 9.1.

Table 9.1. Comparison Operators

Operator Description
datatype < datatypeboolean Less than
datatype > datatypeboolean Greater than
datatype <= datatypeboolean Less than or equal to
datatype >= datatypeboolean Greater than or equal to
datatype = datatypeboolean Equal
datatype <> datatypeboolean Not equal
datatype != datatypeboolean Not equal

Note

<> is the standard SQL notation for not equal. != is an alias, which is converted to <> at a very early stage of parsing. Hence, it is not possible to implement != and <> operators that do different things.

These comparison operators are available for all built-in data types that have a natural ordering, including numeric, string, and date/time types. In addition, arrays, composite types, and ranges can be compared if their component data types are comparable.

It is usually possible to compare values of related data types as well; for example integer > bigint will work. Some cases of this sort are implemented directly by cross-type comparison operators, but if no such operator is available, the parser will coerce the less-general type to the more-general type and apply the latter's comparison operator.

As shown above, all comparison operators are binary operators that return values of type boolean. Thus, expressions like 1 < 2 < 3 are not valid (because there is no < operator to compare a Boolean value with 3). Use the BETWEEN predicates shown below to perform range tests.

There are also some comparison predicates, as shown in Table 9.2. These behave much like operators, but have special syntax mandated by the SQL standard.

Table 9.2. Comparison Predicates

Predicate

Description

Example(s)

datatype BETWEEN datatype AND datatypeboolean

Between (inclusive of the range endpoints).

2 BETWEEN 1 AND 3t

2 BETWEEN 3 AND 1f

datatype NOT BETWEEN datatype AND datatypeboolean

Not between (the negation of BETWEEN).

2 NOT BETWEEN 1 AND 3f

datatype BETWEEN SYMMETRIC datatype AND datatypeboolean

Between, after sorting the two endpoint values.

2 BETWEEN SYMMETRIC 3 AND 1t

datatype NOT BETWEEN SYMMETRIC datatype AND datatypeboolean

Not between, after sorting the two endpoint values.

2 NOT BETWEEN SYMMETRIC 3 AND 1f

datatype IS DISTINCT FROM datatypeboolean

Not equal, treating null as a comparable value.

1 IS DISTINCT FROM NULLt (rather than NULL)

NULL IS DISTINCT FROM NULLf (rather than NULL)

datatype IS NOT DISTINCT FROM datatypeboolean

Equal, treating null as a comparable value.

1 IS NOT DISTINCT FROM NULLf (rather than NULL)

NULL IS NOT DISTINCT FROM NULLt (rather than NULL)

datatype IS NULLboolean

Test whether value is null.

1.5 IS NULLf

datatype IS NOT NULLboolean

Test whether value is not null.

'null' IS NOT NULLt

datatype ISNULLboolean

Test whether value is null (nonstandard syntax).

datatype NOTNULLboolean

Test whether value is not null (nonstandard syntax).

boolean IS TRUEboolean

Test whether boolean expression yields true.

true IS TRUEt

NULL::boolean IS TRUEf (rather than NULL)

boolean IS NOT TRUEboolean

Test whether boolean expression yields false or unknown.

true IS NOT TRUEf

NULL::boolean IS NOT TRUEt (rather than NULL)

boolean IS FALSEboolean

Test whether boolean expression yields false.

true IS FALSEf

NULL::boolean IS FALSEf (rather than NULL)

boolean IS NOT FALSEboolean

Test whether boolean expression yields true or unknown.

true IS NOT FALSEt

NULL::boolean IS NOT FALSEt (rather than NULL)

boolean IS UNKNOWNboolean

Test whether boolean expression yields unknown.

true IS UNKNOWNf

NULL::boolean IS UNKNOWNt (rather than NULL)

boolean IS NOT UNKNOWNboolean

Test whether boolean expression yields true or false.

true IS NOT UNKNOWNt

NULL::boolean IS NOT UNKNOWNf (rather than NULL)


The BETWEEN predicate simplifies range tests:

a BETWEEN x AND y

is equivalent to

a >= x AND a <= y

Notice that BETWEEN treats the endpoint values as included in the range. BETWEEN SYMMETRIC is like BETWEEN except there is no requirement that the argument to the left of AND be less than or equal to the argument on the right. If it is not, those two arguments are automatically swapped, so that a nonempty range is always implied.

The various variants of BETWEEN are implemented in terms of the ordinary comparison operators, and therefore will work for any data type(s) that can be compared.

Note

The use of AND in the BETWEEN syntax creates an ambiguity with the use of AND as a logical operator. To resolve this, only a limited set of expression types are allowed as the second argument of a BETWEEN clause. If you need to write a more complex sub-expression in BETWEEN, write parentheses around the sub-expression.

Ordinary comparison operators yield null (signifying unknown), not true or false, when either input is null. For example, 7 = NULL yields null, as does 7 <> NULL. When this behavior is not suitable, use the IS [ NOT ] DISTINCT FROM predicates:

a IS DISTINCT FROM b
a IS NOT DISTINCT FROM b

For non-null inputs, IS DISTINCT FROM is the same as the <> operator. However, if both inputs are null it returns false, and if only one input is null it returns true. Similarly, IS NOT DISTINCT FROM is identical to = for non-null inputs, but it returns true when both inputs are null, and false when only one input is null. Thus, these predicates effectively act as though null were a normal data value, rather than unknown.

To check whether a value is or is not null, use the predicates:

expression IS NULL
expression IS NOT NULL

or the equivalent, but nonstandard, predicates:

expression ISNULL
expression NOTNULL

Do not write expression = NULL because NULL is not equal to NULL. (The null value represents an unknown value, and it is not known whether two unknown values are equal.)

Tip

Some applications might expect that expression = NULL returns true if expression evaluates to the null value. It is highly recommended that these applications be modified to comply with the SQL standard. However, if that cannot be done the transform_null_equals configuration variable is available. If it is enabled, PostgreSQL will convert x = NULL clauses to x IS NULL.

If the expression is row-valued, then IS NULL is true when the row expression itself is null or when all the row's fields are null, while IS NOT NULL is true when the row expression itself is non-null and all the row's fields are non-null. Because of this behavior, IS NULL and IS NOT NULL do not always return inverse results for row-valued expressions; in particular, a row-valued expression that contains both null and non-null fields will return false for both tests. For example:

SELECT ROW(1,2.5,'this is a test') = ROW(1, 3, 'not the same');

SELECT ROW(table.*) IS NULL FROM table;  -- detect all-null rows

SELECT ROW(table.*) IS NOT NULL FROM table;  -- detect all-non-null rows

SELECT NOT(ROW(table.*) IS NOT NULL) FROM TABLE; -- detect at least one null in rows

In some cases, it may be preferable to write row IS DISTINCT FROM NULL or row IS NOT DISTINCT FROM NULL, which will simply check whether the overall row value is null without any additional tests on the row fields.

Boolean values can also be tested using the predicates

boolean_expression IS TRUE
boolean_expression IS NOT TRUE
boolean_expression IS FALSE
boolean_expression IS NOT FALSE
boolean_expression IS UNKNOWN
boolean_expression IS NOT UNKNOWN

These will always return true or false, never a null value, even when the operand is null. A null input is treated as the logical value unknown. Notice that IS UNKNOWN and IS NOT UNKNOWN are effectively the same as IS NULL and IS NOT NULL, respectively, except that the input expression must be of Boolean type.

Some comparison-related functions are also available, as shown in Table 9.3.

Table 9.3. Comparison Functions

Function

Description

Example(s)

num_nonnulls ( VARIADIC "any" ) → integer

Returns the number of non-null arguments.

num_nonnulls(1, NULL, 2)2

num_nulls ( VARIADIC "any" ) → integer

Returns the number of null arguments.

num_nulls(1, NULL, 2)1


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