In SQL I (sadly) often have to use \"LIKE
\" conditions due to databases that violate nearly every rule of normalization. I can\'t change that right now. But tha
I'm working with SQl Server and Oracle here but I'm interested if this is possible in any RDBMS at all.
Teradata supports LIKE ALL/ANY syntax:
ALL every string in the list.
ANY any string in the list.┌──────────────────────────────┬────────────────────────────────────┐ │ THIS expression … │ IS equivalent to this expression … │ ├──────────────────────────────┼────────────────────────────────────┤ │ x LIKE ALL ('A%','%B','%C%') │ x LIKE 'A%' │ │ │ AND x LIKE '%B' │ │ │ AND x LIKE '%C%' │ │ │ │ │ x LIKE ANY ('A%','%B','%C%') │ x LIKE 'A%' │ │ │ OR x LIKE '%B' │ │ │ OR x LIKE '%C%' │ └──────────────────────────────┴────────────────────────────────────┘
jOOQ version 3.12.0 supports that syntax:
Add synthetic [NOT] LIKE ANY and [NOT] LIKE ALL operators
A lot of times, SQL users would like to be able to combine LIKE and IN predicates, as in:
SELECT * FROM customer WHERE last_name [ NOT ] LIKE ANY ('A%', 'E%') [ ESCAPE '!' ]
The workaround is to manually expand the predicate to the equivalent
SELECT * FROM customer WHERE last_name LIKE 'A%' OR last_name LIKE 'E%'
jOOQ could support such a synthetic predicate out of the box.
PostgreSQL LIKE/ILIKE ANY (ARRAY[])
:
SELECT *
FROM t
WHERE c LIKE ANY (ARRAY['A%', '%B']);
SELECT *
FROM t
WHERE c LIKE ANY ('{"Do%", "%at"}');
db<>fiddle demo
Snowflake also supports LIKE ANY/LIKE ALL matching:
LIKE ANY/ALL
Allows case-sensitive matching of strings based on comparison with one or more patterns.
LIKE ANY ( [, ... ] ) [ ESCAPE ]
Example:
SELECT *
FROM like_example
WHERE subject LIKE ANY ('%Jo%oe%','T%e')
-- WHERE subject LIKE ALL ('%Jo%oe%','J%e')