使用Reduce和Optional

来自Fabio Bonfante的回应:

public <T> T getOneExample(Collection<T> collection) {
    return collection.stream()
        .filter(x -> /* do some filter */)
        .reduce((x,y)-> {throw new IllegalStateException("multiple");})
        .orElseThrow(() -> new NoSuchElementException("none"));
}

使用收集器:

public static <T> Collector<T, ?, Optional<T>> singleElementCollector() {
    return Collectors.collectingAndThen(
            Collectors.toList(),
            list -> list.size() == 1 ? Optional.of(list.get(0)) : Optional.empty()
    );
}

用法:

Optional<User> result = users.stream()
        .filter((user) -> user.getId() < 0)
        .collect(singleElementCollector());

我们返回一个Optional，因为我们通常不能假设集合只包含一个元素。如果你已经知道这是什么情况，请致电:

User user = result.orElseThrow();

这就把处理错误的负担放在了调用者身上——这是应该的。

你试过这个吗

long c = users.stream().filter((user) -> user.getId() == 1).count();
if(c > 1){
    throw new IllegalStateException();
}

long count()
Returns the count of elements in this stream. This is a special case of a reduction and is equivalent to:

     return mapToLong(e -> 1L).sum();

This is a terminal operation.

来源:https://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html

我自己尝试了一个示例代码，这里是解决方案。

User user = Stream.of(new User(2), new User(2), new User(1), new User(2))
            .filter(u -> u.getAge() == 2).findFirst().get();

和用户类

class User {
    private int age;

public User(int age) {
    this.age = age;
}

public int getAge() {
    return age;
}

public void setAge(int age) {
    this.age = age;
 }
}

 List<Integer> list = new ArrayList<>();
    list.add(1);
    list.add(2);
    list.add(3);
Integer value  = list.stream().filter((x->x.intValue()==8)).findFirst().orElse(null);

我已经使用整数类型而不是原语，因为它将有空指针异常。你只需要处理这个异常…看起来很简洁，我觉得;)

另一种选择是使用reduction: (本例使用字符串，但可以轻松应用于包括User在内的任何对象类型)

List<String> list = ImmutableList.of("one", "two", "three", "four", "five", "two");
String match = list.stream().filter("two"::equals).reduce(thereCanBeOnlyOne()).get();
//throws NoSuchElementException if there are no matching elements - "zero"
//throws RuntimeException if duplicates are found - "two"
//otherwise returns the match - "one"
...

//Reduction operator that throws RuntimeException if there are duplicates
private static <T> BinaryOperator<T> thereCanBeOnlyOne()
{
    return (a, b) -> {throw new RuntimeException("Duplicate elements found: " + a + " and " + b);};
}

所以对于User的情况，你会有:

User match = users.stream().filter((user) -> user.getId() < 0).reduce(thereCanBeOnlyOne()).get();