Java 8

我们可以根据大小或条件拆分列表。

static Collection<List<Integer>> partitionIntegerListBasedOnSize(List<Integer> inputList, int size) {
        return inputList.stream()
                .collect(Collectors.groupingBy(s -> (s-1)/size))
                .values();
}
static <T> Collection<List<T>> partitionBasedOnSize(List<T> inputList, int size) {
        final AtomicInteger counter = new AtomicInteger(0);
        return inputList.stream()
                    .collect(Collectors.groupingBy(s -> counter.getAndIncrement()/size))
                    .values();
}
static <T> Collection<List<T>> partitionBasedOnCondition(List<T> inputList, Predicate<T> condition) {
        return inputList.stream().collect(Collectors.partitioningBy(s-> (condition.test(s)))).values();
}

然后我们可以把它们用作:

final List<Integer> list = Arrays.asList(1,2,3,4,5,6,7,8,9,10);
System.out.println(partitionIntegerListBasedOnSize(list, 4));  // [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10]]
System.out.println(partitionBasedOnSize(list, 4));  // [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10]]
System.out.println(partitionBasedOnSize(list, 3));  // [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10]]
System.out.println(partitionBasedOnCondition(list, i -> i<6));  // [[6, 7, 8, 9, 10], [1, 2, 3, 4, 5]]

Java8流，一个表达式，没有其他库(两个解决方案，无需创建不必要的映射):

List<List<Integer>> partitionedList = IntStream.range(0, (list.size()-1)/targetSize+1)
        .mapToObj(i -> list.subList(i*targetSize, Math.min(i*targetSize+targetSize, list.size())))
        .collect(Collectors.toList());

List<List<Integer>> partitionedList2 = IntStream.iterate(0, i -> i < list.size(), i -> i + targetSize)
        .mapToObj(i -> list.subList(i, Math.min(i + targetSize, list.size())))
        .collect(Collectors.toList());

请记住，这些是子列表，因此对原始列表的更改也会影响这些子列表。

如果你不希望它们是子列表，而是新创建的独立列表，可以这样修改:

List<List<Integer>> partitionedList = IntStream.range(0, (list.size()-1)/targetSize+1)
        .mapToObj(i -> IntStream.range(i*targetSize, Math.min(i*targetSize+targetSize, list.size())).mapToObj(j -> list.get(j)).collect(Collectors.toList()))
        .collect(Collectors.toList());

List<List<Integer>> partitionedList2 = IntStream.iterate(0, i -> i < list.size(), i -> i + targetSize)
        .mapToObj(i -> IntStream.range(i, Math.min(i + targetSize, list.size())).mapToObj(j -> list.get(j)).collect(Collectors.toList()))
        .collect(Collectors.toList());

import org.apache.commons.collections4.ListUtils;
ArrayList<Integer> mainList = .............;
List<List<Integer>> multipleLists = ListUtils.partition(mainList,100);
int i=1;
for (List<Integer> indexedList : multipleLists){
  System.out.println("Values in List "+i);
  for (Integer value : indexedList)
    System.out.println(value);
i++;
}

创建一个新列表，并使用addAll()方法添加源列表的子列表视图以创建新的子列表

List<T> newList = new ArrayList<T>();
newList.addAll(sourceList.subList(startIndex, endIndex));

我猜你遇到的问题是命名100个数组列表并填充它们。您可以创建一个数组列表数组，并使用循环填充每个数组列表。

最简单(也是最愚蠢的)的方法是这样的:

ArrayList results = new ArrayList(1000);
    // populate results here
    for (int i = 0; i < 1000; i++) {
        results.add(i);
    }
    ArrayList[] resultGroups = new ArrayList[100];
    // initialize all your small ArrayList groups
    for (int i = 0; i < 100; i++) {
            resultGroups[i] = new ArrayList();
    }
    // put your results into those arrays
    for (int i = 0; i < 1000; i++) {
       resultGroups[i/10].add(results.get(i));
    } 

Apache Commons Collections 4在ListUtils类中有一个分区方法。下面是它的工作原理:

import org.apache.commons.collections4.ListUtils;
...

int targetSize = 100;
List<Integer> largeList = ...
List<List<Integer>> output = ListUtils.partition(largeList, targetSize);