Conditional Functions And Expressions
Functions that return one of their arguments by evaluating in an if-else manner.
CASE
Synopsis:
CASE WHEN condition THEN result
[WHEN ...]
[ELSE default_result]
END Input:
One or multiple WHEN condition THEN result clauses are used and the expression can optionally have an ELSE default_result clause. Every condition should be a boolean expression.
Output: one of the result expressions if the corresponding WHEN condition evaluates to true or the default_result if all WHEN condition clauses evaluate to false. If the optional ELSE default_result clause is missing and all WHEN condition clauses evaluate to false then null is returned.
Description: The CASE expression is a generic conditional expression which simulates if/else statements of other programming languages If the condition’s result is true, the value of the result expression that follows the condition will be the returned the subsequent when clauses will be skipped and not processed.
SELECT CASE WHEN 1 > 2 THEN 'elastic'
WHEN 2 <= 3 THEN 'search'
END AS "case";
case
---------------
search SELECT CASE WHEN 1 > 2 THEN 'elastic'
WHEN 2 > 10 THEN 'search'
END AS "case";
case
---------------
null SELECT CASE WHEN 1 > 2 THEN 'elastic'
WHEN 2 > 10 THEN 'search'
ELSE 'default'
END AS "case";
case
---------------
default As a variant, a case expression can be expressed with a syntax similar to switch-case of other programming languages:
CASE expression
WHEN value1 THEN result1
[WHEN value2 THEN result2]
[WHEN ...]
[ELSE default_result]
END In this case it’s transformed internally to:
CASE WHEN expression = value1 THEN result1
[WHEN expression = value2 THEN result2]
[WHEN ...]
[ELSE default_result]
END SELECT CASE 5
WHEN 1 THEN 'elastic'
WHEN 2 THEN 'search'
WHEN 5 THEN 'elasticsearch'
END AS "case";
case
---------------
elasticsearch SELECT CASE 5
WHEN 1 THEN 'elastic'
WHEN 2 THEN 'search'
WHEN 3 THEN 'elasticsearch'
ELSE 'default'
END AS "case";
case
---------------
default All result expressions must be of compatible data types. More specifically all result expressions should have a compatible data type with the 1st non-null result expression. E.g.:
for the following query:
CASE WHEN a = 1 THEN null
WHEN a > 2 THEN 10
WHEN a > 5 THEN 'foo'
END an error message would be returned, mentioning that foo is of data type keyword, which does not match the expected data type integer (based on result 10).
Conditional bucketing
CASE can be used as a GROUP BY key in a query to facilitate custom bucketing and assign descriptive names to those buckets. If, for example, the values for a key are too many or, simply, ranges of those values are more interesting than every single value, CASE can create custom buckets as in the following example:
SELECT count(*) AS count,
CASE WHEN NVL(languages, 0) = 0 THEN 'zero'
WHEN languages = 1 THEN 'one'
WHEN languages = 2 THEN 'bilingual'
WHEN languages = 3 THEN 'trilingual'
ELSE 'multilingual'
END as lang_skills
FROM employees
GROUP BY lang_skills
ORDER BY lang_skills; With this query, one can create normal grouping buckets for values 0, 1, 2, 3 with descriptive names, and every value >= 4 falls into the multilingual bucket.
COALESCE
Synopsis:
COALESCE(
expression,
expression,
...) Input:
| 1st expression | |
| 2nd expression |
…
Nth expression
COALESCE can take an arbitrary number of arguments.
Output: one of the expressions or null
Description: Returns the first of its arguments that is not null. If all arguments are null, then it returns null.
SELECT COALESCE(null, 'elastic', 'search') AS "coalesce";
coalesce
---------------
elastic SELECT COALESCE(null, null, null, null) AS "coalesce";
coalesce
---------------
null GREATEST
Synopsis:
GREATEST(
expression,
expression,
...) Input:
| 1st expression | |
| 2nd expression |
…
Nth expression
GREATEST can take an arbitrary number of arguments and all of them must be of the same data type.
Output: one of the expressions or null
Description: Returns the argument that has the largest value which is not null. If all arguments are null, then it returns null.
SELECT GREATEST(null, 1, 2) AS "greatest";
greatest
---------------
2 SELECT GREATEST(null, null, null, null) AS "greatest";
greatest
---------------
null IFNULL
Synopsis:
IFNULL(
expression,
expression) Input:
| 1st expression | |
| 2nd expression |
Output: 2nd expression if 1st expression is null, otherwise 1st expression.
Description: Variant of COALESCE with only two arguments. Returns the first of its arguments that is not null. If all arguments are null, then it returns null.
SELECT IFNULL('elastic', null) AS "ifnull";
ifnull
---------------
elastic SELECT IFNULL(null, 'search') AS "ifnull";
ifnull
---------------
search IIF
Synopsis:
IIF(expression,
expression,
[expression]) Input:
| boolean condition to check | |
| return value if the boolean condition evaluates to | |
| return value if the boolean condition evaluates |
Output: 2nd expression if 1st expression (condition) evaluates to true. If it evaluates to false return 3rd expression. If 3rd expression is not provided return null.
Description: Conditional function that implements the standard IF <condition> THEN <result1> ELSE <result2> logic of programming languages. If the 3rd expression is not provided and the condition evaluates to false, null is returned.
SELECT IIF(1 < 2, 'TRUE', 'FALSE') AS result1, IIF(1 > 2, 'TRUE', 'FALSE') AS result2;
result1 | result2
---------------+---------------
TRUE |FALSE SELECT IIF(1 < 2, 'TRUE') AS result1, IIF(1 > 2 , 'TRUE') AS result2;
result1 | result2
---------------+---------------
TRUE |null IIF functions can be combined to implement more complex logic simulating the CASE expression. E.g.:
IIF(a = 1, 'one', IIF(a = 2, 'two', IIF(a = 3, 'three', 'many')))
ISNULL
Synopsis:
ISNULL(
expression,
expression) Input:
| 1st expression | |
| 2nd expression |
Output: 2nd expression if 1st expression is null, otherwise 1st expression.
Description: Variant of COALESCE with only two arguments. Returns the first of its arguments that is not null. If all arguments are null, then it returns null.
SELECT ISNULL('elastic', null) AS "isnull";
isnull
---------------
elastic SELECT ISNULL(null, 'search') AS "isnull";
isnull
---------------
search LEAST
Synopsis:
LEAST(
expression,
expression,
...) Input:
| 1st expression | |
| 2nd expression |
…
Nth expression
LEAST can take an arbitrary number of arguments and all of them must be of the same data type.
Output: one of the expressions or null
Description: Returns the argument that has the smallest value which is not null. If all arguments are null, then it returns null.
SELECT LEAST(null, 2, 1) AS "least";
least
---------------
1 SELECT LEAST(null, null, null, null) AS "least";
least
---------------
null NULLIF
Synopsis:
NULLIF(
expression,
expression) Input:
| 1st expression | |
| 2nd expression |
Output: null if the 2 expressions are equal, otherwise the 1st expression.
Description: Returns null when the two input expressions are equal and if not, it returns the 1st expression.
SELECT NULLIF('elastic', 'search') AS "nullif";
nullif
---------------
elastic SELECT NULLIF('elastic', 'elastic') AS "nullif";
nullif:s
---------------
null NVL
Synopsis:
NVL(
expression,
expression) Input:
| 1st expression | |
| 2nd expression |
Output: 2nd expression if 1st expression is null, otherwise 1st expression.
Description: Variant of COALESCE with only two arguments. Returns the first of its arguments that is not null. If all arguments are null, then it returns null.
SELECT NVL('elastic', null) AS "nvl";
nvl
---------------
elastic SELECT NVL(null, 'search') AS "nvl";
nvl
---------------
search
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https://www.elastic.co/guide/en/elasticsearch/reference/7.17/sql-functions-conditional.html