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TRUE and FALSE condition
Applies to ✅ Open Source Edition ✅ Express Edition ✅ Professional Edition ✅ Enterprise Edition
When a conditional expression is mandatory, or when using dynamic SQL, it may be required to provide a "dummy" condition that always evaluates to TRUE
or FALSE
. For this purpose, you can use DSL.trueCondition()
, DSL.falseCondition()
, or DSL.noCondition()
. For example:
TRUE
TRUE
is the identity value of the AND
boolean operator, and can be used for procedural or functional reduction of a set of values to a condition:
TRUE AND ID = 1 AND TITLE = 'Animal Farm'
Condition condition = trueCondition(); if (id != null) condition = condition.and(BOOK.ID.eq(id)); if (title != null) condition = condition.and(BOOK.TITLE.eq(title));
If a dialect does not support boolean column types, jOOQ will simply generate 1 = 1
.
FALSE
FALSE
is the identity value of the OR
boolean operator, and can be used for procedural or functional reduction of a set of values to a condition:
FALSE OR ID = 1 OR ID = 7
List<Integer> list = List.of(1, 7); Condition condition = list .stream() .map(BOOK.ID::eq) .reduce(falseCondition(), Condition::or)
If a dialect does not support boolean column types, jOOQ will simply generate 1 = 0
.
NO condition
If you think that the "left-over" identity that is generated from the above reductions is ugly, you can just use the auxiliary DSL.noCondition()
, which acts as a pseudo-identity for both AND
and OR
, not generating any SQL, except if the reduction produces nothing (from an empty set), in case of which it will behave like TRUE
, which is what you usually want when placing a dynamic condition in a WHERE
clause.
If used with actual data:
ID = 1 OR ID = 7
List<Integer> list = List.of(1, 7); Condition condition = list.stream().map(BOOK.ID::eq) .reduce(noCondition(), Condition::or)
If used with empty sets:
TRUE
List<Integer> list = List.of(1, 7); Condition condition = list.stream().map(BOOK.ID::eq) .reduce(noCondition(), Condition::or)
Some additional information about the noCondition()
and related topics can be found in the section about dynamic SQL.
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