1、list<Dto>转List<String>
List<String> openIdList = list.stream().map(o -> o.getOpenId()).collect(Collectors.toList());
2、List转map
Map<String, SearchActivityCustomerResultDto> userMap =
userList
.stream()
.collect(Collectors.toMap(SearchActivityCustomerResultDto::getOpenid, a -> a));
3、groupingBy分组
Map<Integer, List<Apple>> groupBy =
appleList.stream().collect(Collectors.groupingBy(Apple::getId));
4、filter过滤出符合条件的数据
List<Apple> filterList =
appleList.stream().filter(a -> a.getName().equals("香蕉")).collect(Collectors.toList());
5、排序
//1.jdk8 lambda排序,带参数类型,倒序
appleList.sort(( Apple ord1, Apple ord2) -> ord2.getId().compareTo(ord1.getId()));
//2.jdk8 lambda排序,不带参数类型,倒序
appleList.sort(( ord1, ord2) -> ord2.getId().compareTo(ord1.getId()));
//3.jdk8 升序排序,Comparator提供的静态方法
Collections.sort(appleList, Comparator.comparing(Apple::getId));
//4.jdk8 降序排序,Comparator提供的静态方法
Collections.sort(appleList, Comparator.comparing(Apple::getId).reversed());
//5.jdk8 组合排序,Comparator提供的静态方法,先按Id排序,Id相同的按money排序
Collections.sort(appleList, Comparator.comparing(Apple::getId).thenComparing(Apple::getMoney).reversed());
6、for循环
appleList.stream().forEach(str -> System.out.println(str.getId()+"/" + str.getMoney()));
7、分页
appleList.subList((page - 1) * rows, rows * page);
List<Apple> pagingData = appleList.stream().limit(rows).collect(Collectors.toList());
8、去重
List<Apple> result = appleList.stream().distinct().collect(toList());
//截取前2个元素
List<Apple> pagingData = appleList.stream().limit(2).collect(toList());