In Java 8, using the filter() method of the Stream API with Lambda expressions can efficiently filter Lists. 1. Basic filtering, such as retaining integers greater than 10, requires filter(n -> n > 10); 2. The filtering object list can be judged by object properties, such as filter(p -> p.getAge() > 30); 3. Multi-condition filtering can be implemented by logical operations combination or chain calls; 4. The result can be further processed in combination with map() or limit(), such as extracting attributes or limiting the number.
In Java 8, using the Stream API to filter Lists is a very common and efficient approach. The core method is implemented through filter()
method combined with Lambda expressions. Next, we will divide the specific operation into several common scenarios.

1. Basic filtering operations
The easiest way to use it is to filter elements in a collection based on a certain condition. For example, there is a list containing integers and we want to keep all numbers greater than 10:
List<Integer> numbers = Arrays.asList(5, 10, 15, 20, 25); List<Integer> filtered = numbers.stream() .filter(n -> n > 10) .collect(Collectors.toList());
In this code, filter(n -> n > 10)
is the filter condition, and only elements that meet this condition will be retained.

What should be noted is:
-
filter()
method accepts aPredicate
(functional interface that returns a boolean value) - Finally, use
collect(Collectors.toList())
to transfer Stream back to List
2. Filter the object list (by object properties)
In actual development, it is more common to filter an object list. For example, there is a Person
class, and we want to filter out people older than 30:

class Person { private String name; private int age; //Constructor, getter, setter, etc. omitted}
How to use it is as follows:
List<Person> people = ...; // Initialize list List<Person> adults = people.stream() .filter(p -> p.getAge() > 30) .collect(Collectors.toList());
The key here is to access the object's properties in filter()
and make judgments. As long as the logic is clear, the writing style is also more intuitive.
3. Multi-condition filtering (combination use)
Sometimes we need multiple conditions to filter together, such as being older than 30 and a person from a certain city. At this time, multiple conditions can be combined through logical operators:
List<Person> result = people.stream() .filter(p -> p.getAge() > 30 && p.getCity().equals("Beijing")) .collect(Collectors.toList());
If your conditions are complicated or want to reuse some judgment logic, you can also write them into multiple filter()
calls:
List<Person> result = people.stream() .filter(p -> p.getAge() > 30) .filter(p -> p.getCity().equals("Beijing")) .collect(Collectors.toList());
This method will be clearer when debugging or logical splitting.
4. Post-filtering (map or limit results)
Sometimes we not only want to filter, but also want to further process the results. For example, only name, or only the first few results:
- Name only (mapping):
List<String> names = people.stream() .filter(p -> p.getAge() > 30) .map(Person::getName) .collect(Collectors.toList());
- Only the first two results that meet the criteria are taken:
List<Person> topTwo = people.stream() .filter(p -> p.getAge() > 30) .limit(2) .collect(Collectors.toList());
These operations can be flexibly combined to meet different business needs.
Basically that's it. Stream's filter()
is a very practical tool. Although it looks simple, it requires understanding the functional programming basics of Java 8, such as Lambda expressions, method references, etc. As long as the logic is clear, the code will be concise and easy to read.
The above is the detailed content of How to filter a List using Java 8 Stream API?. For more information, please follow other related articles on the PHP Chinese website!

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