java8 Stream 大数据量List分批处理

//按每3个一组分割
private static final Integer MAX_SEND = 3;

public static void main(String[] args) {
      List<Integer> list = Arrays.asList(1, 2, 3, 4, 5, 6, 7);
      int limit = countStep(list.size());
      //方法一：使用流遍历操作
      List<List<Integer>> mglist = new ArrayList<>();
      Stream.iterate(0, n -> n + 1).limit(limit).forEach(i -> {
          mglist.add(list.stream().skip(i * MAX_SEND).limit(MAX_SEND).collect(Collectors.toList()));
      });

      System.out.println(mglist);

      //方法二：获取分割后的集合
      List<List<Integer>> splitList = Stream.iterate(0, n -> n + 1).limit(limit).parallel().map(a -> list.stream().skip(a * MAX_SEND).limit(MAX_SEND).parallel().collect(Collectors.toList())).collect(Collectors.toList());
      
      System.out.println(splitList);
}
    
/**
* 计算切分次数
*/
private static Integer countStep(Integer size) {
    return (size + MAX_SEND - 1) / MAX_SEND;
}

使用google guava对List进行分割

//使用guava对list进行分割
List<User> users = userService.findAll();
//按每50个一组分割
List<List<User>> parts = Lists.partition(users, 50);
parts.stream().forEach(list -> {
    process(list);
});

使用apache common collection

List<Integer> intList = Lists.newArrayList(1, 2, 3, 4, 5, 6, 7, 8);
List<List<Integer>> subs = ListUtils.partition(intList, 3);

java 手写将一个List等分成n个list

public static <T> List<List<T>> averageAssign(List<T> source, int n) {
    List<List<T>> result = new ArrayList<>();
    int remainder = source.size() % n;  //(先计算出余数)
    int number = source.size() / n;  //然后是商
    int offset = 0;//偏移量
    for (int i = 0; i < n; i++) {
        List<T> value;
        if (remainder > 0) {
            value = source.subList(i * number + offset, (i + 1) * number + offset + 1);
            remainder--;
            offset++;
        } else {
            value = source.subList(i * number + offset, (i + 1) * number + offset);
        }
        result.add(value);
    }
    return result;
}