你能写的最简单的代码:

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

您可以将person对象包装到另一个类中，该类只比较person的名称。之后，您将打开被包装的对象以再次获得人员流。流操作可能如下所示:

persons.stream()
    .map(Wrapper::new)
    .distinct()
    .map(Wrapper::unwrap)
    ...;

类Wrapper可能看起来如下所示:

class Wrapper {
    private final Person person;
    public Wrapper(Person person) {
        this.person = person;
    }
    public Person unwrap() {
        return person;
    }
    public boolean equals(Object other) {
        if (other instanceof Wrapper) {
            return ((Wrapper) other).person.getName().equals(person.getName());
        } else {
            return false;
        }
    }
    public int hashCode() {
        return person.getName().hashCode();
    }
}

也许会对某人有用。我还有一个要求。从第三方对象A列表中删除所有具有相同A.b字段的相同A.id的对象(列表中具有相同A.id的多个A对象)。流分区的答案由Tagir Valeev启发我使用自定义收集器返回Map<A。id列表< > >。简单的flatMap将完成其余的工作。

 public static <T, K, K2> Collector<T, ?, Map<K, List<T>>> groupingDistinctBy(Function<T, K> keyFunction, Function<T, K2> distinctFunction) {
    return groupingBy(keyFunction, Collector.of((Supplier<Map<K2, T>>) HashMap::new,
            (map, error) -> map.putIfAbsent(distinctFunction.apply(error), error),
            (left, right) -> {
                left.putAll(right);
                return left;
            }, map -> new ArrayList<>(map.values()),
            Collector.Characteristics.UNORDERED)); }

有很多方法，这一个也会有帮助-简单，干净和清晰

    List<Employee> employees = new ArrayList<>();

    employees.add(new Employee(11, "Ravi"));
    employees.add(new Employee(12, "Stalin"));
    employees.add(new Employee(23, "Anbu"));
    employees.add(new Employee(24, "Yuvaraj"));
    employees.add(new Employee(35, "Sena"));
    employees.add(new Employee(36, "Antony"));
    employees.add(new Employee(47, "Sena"));
    employees.add(new Employee(48, "Ravi"));

    List<Employee> empList = new ArrayList<>(employees.stream().collect(
                    Collectors.toMap(Employee::getName, obj -> obj,
                    (existingValue, newValue) -> existingValue))
                   .values());

    empList.forEach(System.out::println);


    //  Collectors.toMap(
    //  Employee::getName, - key (the value by which you want to eliminate duplicate)
    //  obj -> obj,  - value (entire employee object)
    //  (existingValue, newValue) -> existingValue) - to avoid illegalstateexception: duplicate key

Output - toString()重载

Employee{id=35, name='Sena'}
Employee{id=12, name='Stalin'}
Employee{id=11, name='Ravi'}
Employee{id=24, name='Yuvaraj'}
Employee{id=36, name='Antony'}
Employee{id=23, name='Anbu'}

有一种更简单的方法，使用带有自定义比较器的TreeSet。

persons.stream()
    .collect(Collectors.toCollection(
      () -> new TreeSet<Person>((p1, p2) -> p1.getName().compareTo(p2.getName())) 
));

处理null的顶部答案的变体:

    public static <T, K> Predicate<T> distinctBy(final Function<? super T, K> getKey) {
        val seen = ConcurrentHashMap.<Optional<K>>newKeySet();
        return obj -> seen.add(Optional.ofNullable(getKey.apply(obj)));
    }

在我的测试中:

        assertEquals(
                asList("a", "bb"),
                Stream.of("a", "b", "bb", "aa").filter(distinctBy(String::length)).collect(toList()));

        assertEquals(
                asList(5, null, 2, 3),
                Stream.of(5, null, 2, null, 3, 3, 2).filter(distinctBy(x -> x)).collect(toList()));

        val maps = asList(
                hashMapWith(0, 2),
                hashMapWith(1, 2),
                hashMapWith(2, null),
                hashMapWith(3, 1),
                hashMapWith(4, null),
                hashMapWith(5, 2));

        assertEquals(
                asList(0, 2, 3),
                maps.stream()
                        .filter(distinctBy(m -> m.get("val")))
                        .map(m -> m.get("i"))
                        .collect(toList()));