您可以在Eclipse Collections中使用distinct(HashingStrategy)方法。

List<Person> persons = ...;
MutableList<Person> distinct =
    ListIterate.distinct(persons, HashingStrategies.fromFunction(Person::getName));

如果可以重构人员以实现Eclipse Collections接口，则可以直接调用列表上的方法。

MutableList<Person> persons = ...;
MutableList<Person> distinct =
    persons.distinct(HashingStrategies.fromFunction(Person::getName));

HashingStrategy只是一个策略接口，允许您定义equals和hashcode的自定义实现。

public interface HashingStrategy<E>
{
    int computeHashCode(E object);
    boolean equals(E object1, E object2);
}

注意:我是Eclipse Collections的提交者。

你能写的最简单的代码:

    persons.stream().map(x-> x.getName()).distinct().collect(Collectors.toList());

我想改进一下斯图尔特·马克斯的回答。如果键是空的，它会通过NullPointerException。在这里，我通过添加一个检查keyExtractor.apply(t)!=null来忽略空键。

public static <T> Predicate<T> distinctByKey(Function<? super T, ?> keyExtractor) {
Set<Object> seen = ConcurrentHashMap.newKeySet();
return t -> keyExtractor.apply(t)!=null && seen.add(keyExtractor.apply(t));

}

我们也可以使用RxJava(非常强大的响应式扩展库)

Observable.from(persons).distinct(Person::getName)

or

Observable.from(persons).distinct(p -> p.getName())

这个解是什么呢?

只有当你的键实现了Equal时它才会起作用大多数基类型都是这样，但它更简单一点。

person.stream()。map(person -> p.getName()).distinct()

Here is the example
public class PayRoll {

    private int payRollId;
    private int id;
    private String name;
    private String dept;
    private int salary;


    public PayRoll(int payRollId, int id, String name, String dept, int salary) {
        super();
        this.payRollId = payRollId;
        this.id = id;
        this.name = name;
        this.dept = dept;
        this.salary = salary;
    }
} 

import java.util.ArrayList;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.stream.Collector;
import java.util.stream.Collectors;

public class Prac {
    public static void main(String[] args) {

        int salary=70000;
        PayRoll payRoll=new PayRoll(1311, 1, "A", "HR", salary);
        PayRoll payRoll2=new PayRoll(1411, 2    , "B", "Technical", salary);
        PayRoll payRoll3=new PayRoll(1511, 1, "C", "HR", salary);
        PayRoll payRoll4=new PayRoll(1611, 1, "D", "Technical", salary);
        PayRoll payRoll5=new PayRoll(711, 3,"E", "Technical", salary);
        PayRoll payRoll6=new PayRoll(1811, 3, "F", "Technical", salary);
        List<PayRoll>list=new ArrayList<PayRoll>();
        list.add(payRoll);
        list.add(payRoll2);
        list.add(payRoll3);
        list.add(payRoll4);
        list.add(payRoll5);
        list.add(payRoll6);


        Map<Object, Optional<PayRoll>> k = list.stream().collect(Collectors.groupingBy(p->p.getId()+"|"+p.getDept(),Collectors.maxBy(Comparator.comparingInt(PayRoll::getPayRollId))));


        k.entrySet().forEach(p->
        {
            if(p.getValue().isPresent())
            {
                System.out.println(p.getValue().get());
            }
        });



    }
}

Output:

PayRoll [payRollId=1611, id=1, name=D, dept=Technical, salary=70000]
PayRoll [payRollId=1811, id=3, name=F, dept=Technical, salary=70000]
PayRoll [payRollId=1411, id=2, name=B, dept=Technical, salary=70000]
PayRoll [payRollId=1511, id=1, name=C, dept=HR, salary=70000]