从CollectionUtils:

List<T> targetCollection = new ArrayList<T>();
CollectionUtils.addAll(targetCollection, iterable.iterator())

下面是这个实用方法的完整源代码:

public static <T> void addAll(Collection<T> collection, Iterator<T> iterator) {
    while (iterator.hasNext()) {
        collection.add(iterator.next());
    }
}

您可以使用Eclipse Collections工厂:

Iterable<String> iterable = Arrays.asList("1", "2", "3");

MutableList<String> list = Lists.mutable.withAll(iterable);
MutableSet<String> set = Sets.mutable.withAll(iterable);
MutableSortedSet<String> sortedSet = SortedSets.mutable.withAll(iterable);
MutableBag<String> bag = Bags.mutable.withAll(iterable);
MutableSortedBag<String> sortedBag = SortedBags.mutable.withAll(iterable);

您还可以将Iterable转换为LazyIterable，并使用转换器方法或任何其他可用的api。

Iterable<String> iterable = Arrays.asList("1", "2", "3");
LazyIterable<String> lazy = LazyIterate.adapt(iterable);

MutableList<String> list = lazy.toList();
MutableSet<String> set = lazy.toSet();
MutableSortedSet<String> sortedSet = lazy.toSortedSet();
MutableBag<String> bag = lazy.toBag();
MutableSortedBag<String> sortedBag = lazy.toSortedBag();

以上所有可变类型都扩展了java.util.Collection。

注意:我是Eclipse Collections的提交者。

两个评论

There is no need to convert Iterable to Collection to use foreach loop - Iterable may be used in such loop directly, there is no syntactical difference, so I hardly understand why the original question was asked at all. Suggested way to convert Iterable to Collection is unsafe (the same relates to CollectionUtils) - there is no guarantee that subsequent calls to the next() method return different object instances. Moreover, this concern is not pure theoretical. E.g. Iterable implementation used to pass values to a reduce method of Hadoop Reducer always returns the same value instance, just with different field values. So if you apply makeCollection from above (or CollectionUtils.addAll(Iterator)) you will end up with a collection with all identical elements.

当你从Spring Data中获得你的Iterable时，你有两个额外的选择。

You can override the method that returns the Iterable in the repository with a version that returns a List, Set or Streamable. This way Spring Data is doing the conversion for you. You may do so in a super interface of your repositories so you don't have to repeat the override in all your repository interfaces. If you happen to use Spring Data JPA this is already done for you in JpaRepository You may do the conversion using the just mentioned Streamable yourself: Iterable<X> iterable = repo.findAll(); List<X> list = Streamable.of(iterable).toList();

既然你提到了沮丧，也许还有一些决定使用Iterable帮助的背景。

It is expected that it is actually fairly rare to actually require a Collection so in many cases it shouldn't make a difference. Using the overriding mechanics one can return different types which wouldn't be possible with a more specific return type like Collection. This would make it impossible to return a Streamable which is intended for cases where a store may decide to return a result before all elements have been fetched. Streamable would actually be a flexible return type, since it offers easy conversions to List, Set, Stream and is itself an Iterable. But this would require you to use a Spring Data specific type in your application which many users wouldn't like.

在参考文档中有关于这方面的章节。

我经常使用fluentiatable .from(myIterable). tolist()。

如果您可以更新到Spring Data 3，那么这个问题已经解决了。有一个新的界面ListCrudRepository，它做的正是你想要的。

这是来自https://spring.io/blog/2022/02/22/announcing-listcrudrepository-friends-for-spring-data-3-0:的界面

public interface ListCrudRepository<T, ID> extends CrudRepository<T, ID> {
    <S extends T> List<S> saveAll(Iterable<S> entities);
    List<T> findAll();
    List<T> findAllById(Iterable<ID> ids);
}

注意，在版本3中必须实现两个接口

所以在版本2中

public interface PersonRepository<Person, Long> extends 
   PagingAndSortingRepository<Person, Long> {}

在版本3中应改为:

public interface PersonRepository<Person, Long> extends
    PagingAndSortingRepository<Person, Long>,ListCrudRepository<Person, Long> {}

其他变化见https://spring.io/blog/2022/02/22/announcing-listcrudrepository-friends-for-spring-data-3-0