Comparison Functions and Operators
Comparison Operators
Operator | Description |
---|---|
| Less than |
| Greater than |
| Less than or equal to |
| Greater than or equal to |
| Equal |
| Not equal |
| Not equal (non-standard but popular syntax) |
Range Operator: BETWEEN
The BETWEEN
operator tests if a value is within a specified range. It uses the syntax value BETWEEN min AND max
:
SELECT 3 BETWEEN 2 AND 6;
The statement shown above is equivalent to the following statement:
SELECT 3 >= 2 AND 3 <= 6;
To test if a value does not fall within the specified range use NOT BETWEEN
:
SELECT 3 NOT BETWEEN 2 AND 6;
The statement shown above is equivalent to the following statement:
SELECT 3 < 2 OR 3 > 6;
The presence of NULL in a BETWEEN
or NOT BETWEEN
statement will result in the statement evaluating to NULL:
SELECT NULL BETWEEN 2 AND 4; -- null
SELECT 2 BETWEEN NULL AND 6; -- null
The BETWEEN
and NOT BETWEEN
operators can also be used to evaluate string arguments:
SELECT 'Paul' BETWEEN 'John' AND 'Ringo'; -- true
Note that the value, min, and max parameters to BETWEEN
and NOT BETWEEN
must be the same type. For example, Presto will produce an error if you ask it if John is between 2.3 and 35.2.
IS NULL and IS NOT NULL
The IS NULL
and IS NOT NULL
operators test whether a value is null (undefined). Both operators work for all data types.
Using NULL
with IS NULL
evaluates to true:
select NULL IS NULL; -- true
But any other constant does not:
SELECT 3.0 IS NULL; -- false
IS DISTINCT FROM and IS NOT DISTINCT FROM
In SQL a NULL
value signifies an unknown value, so any comparison involving a NULL
will produce NULL
. The IS DISTINCT FROM
and IS NOT DISTINCT FROM
operators treat NULL
as a known value and both operators guarantee either a true or false outcome even in the presence of NULL
input:
SELECT NULL IS DISTINCT FROM NULL; -- false
SELECT NULL IS NOT DISTINCT FROM NULL; -- true
In the example shown above, a NULL
value is not considered distinct from NULL
. When you are comparing values which may include NULL
use these operators to guarantee either a TRUE
or FALSE
result.
The following truth table demonstrate the handling of NULL
in IS DISTINCT FROM
and IS NOT DISTINCT FROM
:
a | b | a = b | a <> b | a DISTINCT b | a NOT DISTINCT b |
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GREATEST and LEAST
These functions are not in the SQL standard, but are a common extension. Like most other functions in Presto, they return null if any argument is null. Note that in some other databases, such as PostgreSQL, they only return null if all arguments are null.
The following types are supported: DOUBLE
, BIGINT
, VARCHAR
, TIMESTAMP
, TIMESTAMP WITH TIME ZONE
, DATE
greatest(value1, value2, …, valueN) → [same as input]
Returns the largest of the provided values.
least(value1, value2, …, valueN) → [same as input]
Returns the smallest of the provided values.
Quantified Comparison Predicates: ALL, ANY and SOME
The ALL
, ANY
and SOME
quantifiers can be used together with comparison operators in the following way:
expression operator quantifier ( subquery )
For example:
SELECT 'hello' = ANY (VALUES 'hello', 'world'); -- true
SELECT 21 < ALL (VALUES 19, 20, 21); -- false
SELECT 42 >= SOME (SELECT 41 UNION ALL SELECT 42 UNION ALL SELECT 43); -- true
Here are the meanings of some quantifier and comparison operator combinations:
Expression | Meaning |
---|---|
| Evaluates to |
| Evaluates to |
| Evaluates to |
| Evaluates to |
| Evaluates to |
| Evaluates to |
ANY
and SOME
have the same meaning and can be used interchangeably.
LIKE
The LIKE operator is used to match a specified character pattern in a string. Patterns can contain regular characters as well as wildcards. Wildcard characters can be escaped using the single character specified for the ESCAPE parameter. Matching is case sensitive.
Syntax:
expression LIKE pattern [ ESCAPE ‘escape_character’ ]
if pattern
or escape_character
is null, the expression evaluates to null.
Wildcard | Representation |
---|---|
| The percent sign represents zero, one, or multiple characters |
| The underscore represents a single character |
Examples:
SELECT * FROM (VALUES ('abc'), ('bcd'), ('cde')) AS t (name)
WHERE name LIKE '%b%'
--returns 'abc' and 'bcd'
SELECT * FROM (VALUES ('abc'), ('bcd'), ('cde')) AS t (name)
WHERE name LIKE '_b%'
--returns 'abc'
SELECT * FROM (VALUES ('abc'), ('bcd'), ('cde')) AS t (name)
WHERE name LIKE 'b%'
--returns 'bcd'
SELECT * FROM (VALUES ('abc'), ('bcd'), ('cde')) AS t (name)
WHERE name LIKE 'B%'
--returns nothing
SELECT * FROM (VALUES ('a_c'), ('_cd'), ('cde')) AS t (name)
WHERE name LIKE '%#_%' ESCAPE '#'
--returns 'a_c' and '_cd'
SELECT * FROM (VALUES ('a%c'), ('%cd'), ('cde')) AS t (name)
WHERE name LIKE '%#%%' ESCAPE '#'
--returns 'a%c' and '%cd'
Row comparison: IN
The IN comparison operator in SQL is used to compare a value with a list of literal values that have been specified. The IN operator returns TRUE if the value matches any of the literal values in the list. The IN operator can be used to compare values with the following patterns. It can fetch records according to multiple values specified in WHERE clause. A sub-query or list of values must be specified in the parenthesis, however one column must be specified in the sub-query.
WHERE column [NOT] IN ('value1','value2');
WHERE column [NOT] IN ( subquery )
Examples:
SELECT * FROM region WHERE name IN ('AMERICA', 'EUROPE');
SELECT * FROM region WHERE name IN ('NULL', 'AMERICA', 'EUROPE');
SELECT * FROM table_name WHERE (column1, column2) IN ((NULL, 'value1'), ('value2', 'value3'));
Row comparison: OR
The OR operator is used to filter the results of a query based on more than one condition. It returns a record if any of the conditions separated by OR is TRUE. The values in the clause are used for multiple comparisons that are combined as a logical OR. The preceding query is equivalent to the following query:
Example:
SELECT * FROM region WHERE name = 'AMERICA' OR name = 'EUROPE';
Row comparison: NOT IN
The NOT IN comparison operator in SQL is used to exclude the rows that match any value in a list or subquery.
You can negate the comparisons by adding NOT, and get all other regions except the values in list:
Example:
SELECT * FROM region WHERE name NOT IN ('AMERICA', 'EUROPE');
When using a subquery to determine the values to use in the comparison, the subquery must return a single column and one or more rows.
Example:
SELECT id, name FROM region WHERE name IN (SELECT name FROM region WHERE id IN (3,4));