![]() |
VOOZH | about |
static Predicate isEqual(Object targetRef) Returns a predicate that tests if two arguments are equal according to Objects.equals(Object, Object). T : the type of arguments to the predicate Parameters: targetRef : the object reference with which to compare for equality, which may be null Returns: a predicate that tests if two arguments are equal according to Objects.equals(Object, Object)
default Predicate and(Predicate other) Returns a composed predicate that represents a short-circuiting logical AND of this predicate and another. Parameters: other: a predicate that will be logically-ANDed with this predicate Returns : a composed predicate that represents the short-circuiting logical AND of this predicate and the other predicate Throws: NullPointerException - if other is null
default Predicate negate() Returns:a predicate that represents the logical negation of this predicate
default Predicate or(Predicate other) Parameters: other : a predicate that will be logically-ORed with this predicate Returns: a composed predicate that represents the short-circuiting logical OR of this predicate and the other predicate Throws : NullPointerException - if other is null
test(T t) Parameters: t - the input argument Returns: true if the input argument matches the predicate, otherwise false
Examples
Example 1: Simple Predicate Output:TrueExample 2: Predicate Chaining Output:
True FalseExample 3: Predicate in to Function Output:
Number 10Example 4: Predicate OR Output:
TrueExample 5: Predicate AND Output:
False TrueExample 6: Predicate negate() Output:
FalseExample 7: Predicate in Collection Output:
[User Name : John, Role :admin]The same functionality can also be achieved by using Stream API and lambda functions offered since JDK 1.8 on top of the Collections API. The Stream API allows "streaming" of collections for dynamic processing. Streams allow concurrent and parallel computation on data (using internal iterations), to support database-like operations such as grouping and filtering the data (similar to GROUP BY and WHERE clause in SQL). This allows the developers to focus on "what data is needed" instead of "how data is needed" since streaming hides the details of the implementation and provides the result. This is done by providing predicates as inputs to functions operating at runtime upon the streams of collections. In the following example, we illustrate how Stream API can be used along with predicates to filter the collections of data as achieved in Example 7.
[User Name : John, Role :admin]