9.2. 比較函式及運算子
The usual comparison operators are available, as shown in Table 9.1.
Table 9.1. Comparison Operators
datatype
<
datatype
→ boolean
Less than
datatype
>
datatype
→ boolean
Greater than
datatype
<=
datatype
→ boolean
Less than or equal to
datatype
>=
datatype
→ boolean
Greater than or equal to
datatype
=
datatype
→ boolean
Equal
datatype
<>
datatype
→ boolean
Not equal
datatype
!=
datatype
→ boolean
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
datatype
→ boolean
Between (inclusive of the range endpoints).
2 BETWEEN 1 AND 3
→ t
2 BETWEEN 3 AND 1
→ f
datatype
NOT BETWEEN
datatype
AND
datatype
→ boolean
Not between (the negation of BETWEEN
).
2 NOT BETWEEN 1 AND 3
→ f
datatype
BETWEEN SYMMETRIC
datatype
AND
datatype
→ boolean
Between, after sorting the two endpoint values.
2 BETWEEN SYMMETRIC 3 AND 1
→ t
datatype
NOT BETWEEN SYMMETRIC
datatype
AND
datatype
→ boolean
Not between, after sorting the two endpoint values.
2 NOT BETWEEN SYMMETRIC 3 AND 1
→ f
datatype
IS DISTINCT FROM
datatype
→ boolean
Not equal, treating null as a comparable value.
1 IS DISTINCT FROM NULL
→ t
(rather than NULL
)
NULL IS DISTINCT FROM NULL
→ f
(rather than NULL
)
datatype
IS NOT DISTINCT FROM
datatype
→ boolean
Equal, treating null as a comparable value.
1 IS NOT DISTINCT FROM NULL
→ f
(rather than NULL
)
NULL IS NOT DISTINCT FROM NULL
→ t
(rather than NULL
)
datatype
IS NULL
→ boolean
Test whether value is null.
1.5 IS NULL
→ f
datatype
IS NOT NULL
→ boolean
Test whether value is not null.
'null' IS NOT NULL
→ t
datatype
ISNULL
→ boolean
Test whether value is null (nonstandard syntax).
datatype
NOTNULL
→ boolean
Test whether value is not null (nonstandard syntax).
boolean
IS TRUE
→ boolean
Test whether boolean expression yields true.
true IS TRUE
→ t
NULL::boolean IS TRUE
→ f
(rather than NULL
)
boolean
IS NOT TRUE
→ boolean
Test whether boolean expression yields false or unknown.
true IS NOT TRUE
→ f
NULL::boolean IS NOT TRUE
→ t
(rather than NULL
)
boolean
IS FALSE
→ boolean
Test whether boolean expression yields false.
true IS FALSE
→ f
NULL::boolean IS FALSE
→ f
(rather than NULL
)
boolean
IS NOT FALSE
→ boolean
Test whether boolean expression yields true or unknown.
true IS NOT FALSE
→ t
NULL::boolean IS NOT FALSE
→ t
(rather than NULL
)
boolean
IS UNKNOWN
→ boolean
Test whether boolean expression yields unknown.
true IS UNKNOWN
→ f
NULL::boolean IS UNKNOWN
→ t
(rather than NULL
)
boolean
IS NOT UNKNOWN
→ boolean
Test whether boolean expression yields true or false.
true IS NOT UNKNOWN
→ t
NULL::boolean IS NOT UNKNOWN
→ f
(rather than NULL
)
The BETWEEN
predicate simplifies range tests:
is equivalent to
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:
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:
or the equivalent, but nonstandard, predicates:
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. 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
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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