你不一定需要地图 这是最接近LINQ示例的lambda:

int[] idx = new int[] { 0 };
Stream.of(names)
    .filter(name -> name.length() <= idx[0]++)
    .collect(Collectors.toList());

我在我的项目中使用了以下解决方案。我认为这比使用可变对象或整数范围要好。

import java.util.*;
import java.util.function.*;
import java.util.stream.Collector;
import java.util.stream.Collector.Characteristics;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
import static java.util.Objects.requireNonNull;


public class CollectionUtils {
    private CollectionUtils() { }

    /**
     * Converts an {@link java.util.Iterator} to {@link java.util.stream.Stream}.
     */
    public static <T> Stream<T> iterate(Iterator<? extends T> iterator) {
        int characteristics = Spliterator.ORDERED | Spliterator.IMMUTABLE;
        return StreamSupport.stream(Spliterators.spliteratorUnknownSize(iterator, characteristics), false);
    }

    /**
     * Zips the specified stream with its indices.
     */
    public static <T> Stream<Map.Entry<Integer, T>> zipWithIndex(Stream<? extends T> stream) {
        return iterate(new Iterator<Map.Entry<Integer, T>>() {
            private final Iterator<? extends T> streamIterator = stream.iterator();
            private int index = 0;

            @Override
            public boolean hasNext() {
                return streamIterator.hasNext();
            }

            @Override
            public Map.Entry<Integer, T> next() {
                return new AbstractMap.SimpleImmutableEntry<>(index++, streamIterator.next());
            }
        });
    }

    /**
     * Returns a stream consisting of the results of applying the given two-arguments function to the elements of this stream.
     * The first argument of the function is the element index and the second one - the element value. 
     */
    public static <T, R> Stream<R> mapWithIndex(Stream<? extends T> stream, BiFunction<Integer, ? super T, ? extends R> mapper) {
        return zipWithIndex(stream).map(entry -> mapper.apply(entry.getKey(), entry.getValue()));
    }

    public static void main(String[] args) {
        String[] names = {"Sam", "Pamela", "Dave", "Pascal", "Erik"};

        System.out.println("Test zipWithIndex");
        zipWithIndex(Arrays.stream(names)).forEach(entry -> System.out.println(entry));

        System.out.println();
        System.out.println("Test mapWithIndex");
        mapWithIndex(Arrays.stream(names), (Integer index, String name) -> index+"="+name).forEach((String s) -> System.out.println(s));
    }
}

使用列表，你可以尝试一下

List<String> strings = new ArrayList<>(Arrays.asList("First", "Second", "Third", "Fourth", "Fifth")); // An example list of Strings
strings.stream() // Turn the list into a Stream
    .collect(HashMap::new, (h, o) -> h.put(h.size(), o), (h, o) -> {}) // Create a map of the index to the object
        .forEach((i, o) -> { // Now we can use a BiConsumer forEach!
            System.out.println(String.format("%d => %s", i, o));
        });

输出:

0 => First
1 => Second
2 => Third
3 => Fourth
4 => Fifth

如果列表是唯一的，我们可以使用indexOf方法。

List<String> names = Arrays.asList("Sam", "Pamela", "Dave", "Pascal", "Erik");

    names.forEach(name ->{
        System.out.println((names.indexOf(name) + 1) + ": " + name);
    });

最简洁的方法是从一系列指数开始:

String[] names = {"Sam", "Pamela", "Dave", "Pascal", "Erik"};
IntStream.range(0, names.length)
         .filter(i -> names[i].length() <= i)
         .mapToObj(i -> names[i])
         .collect(Collectors.toList());

结果列表只包含“Erik”。

当你习惯for循环时，另一种看起来更熟悉的方法是使用可变对象维护一个临时计数器，例如AtomicInteger:

String[] names = {"Sam", "Pamela", "Dave", "Pascal", "Erik"};
AtomicInteger index = new AtomicInteger();
List<String> list = Arrays.stream(names)
                          .filter(n -> n.length() <= index.incrementAndGet())
                          .collect(Collectors.toList());

注意，在并行流上使用后一种方法可能会中断，因为项目不一定会“按顺序”处理。

String[] namesArray = {"Sam","Pamela", "Dave", "Pascal", "Erik"};
String completeString
         =  IntStream.range(0,namesArray.length)
           .mapToObj(i -> namesArray[i]) // Converting each array element into Object
           .map(String::valueOf) // Converting object to String again
           .collect(Collectors.joining(",")); // getting a Concat String of all values
        System.out.println(completeString);

山姆，帕梅拉，戴夫，帕斯卡，埃里克

String[] namesArray = {"Sam","Pamela", "Dave", "Pascal", "Erik"};

IntStream.range(0,namesArray.length)
               .mapToObj(i -> namesArray[i]) // Converting each array element into Object
               .map(String::valueOf) // Converting object to String again
               .forEach(s -> {
                //You can do various operation on each element here
                System.out.println(s);
               }); // getting a Concat String of all 

收集清单:

String[] namesArray = {"Sam","Pamela", "Dave", "Pascal", "Erik"};
 List<String> namesList
                =  IntStream.range(0,namesArray.length)
                .mapToObj(i -> namesArray[i]) // Converting each array element into Object
                .map(String::valueOf) // Converting object to String again
                .collect(Collectors.toList()); // collecting elements in List
        System.out.println(listWithIndex);