List stream的9种常用功能
1、List 转List
List llla = Arrays.asList(“1”,“2”).stream().map(Long::parseLong).collect(Collectors.toList());
2、List转类型List、List、List
//(1)、List中的String属性转List
List userNameList = list.stream().map(UserInfo::getUserName).collect(Collectors.toList());
//过滤null
List userNameList1 = list.stream().map(UserInfo::getUserName).filter(Objects::nonNull).collect(Collectors.toList());
//(2)、List中的Integer属性转List
List userIds = list.stream().map(UserInfo::getAmount).map(String::valueOf).collect(Collectors.toList());
//过滤null
List userIds1 = list.stream().map(UserInfo::getAmount).filter(Objects::nonNull).map(String::valueOf).collect(Collectors.toList());
//List属性转List ,如果为 null就为0
List aountList1 = list.stream().map(i -> i.getAmount() == null ? 0 : i.getAmount()).collect(Collectors.toList());
//(3)、List属性求和
// long sum = list.stream().mapToInt(UserInfo::getAmount).sum();
//如果为 null就为0
long sum1 = list.stream().mapToInt(i -> i.getAmount() == null ? 0 : i.getAmount()).sum();
3、List转map
//(1)、List
4、分组
//List分组
// Map<Long, List> collect = list.stream().collect(Collectors.groupingBy(UserInfo::getUserId));
//List分组,null为0
Map<Long, List> collect = list.stream().collect(Collectors.groupingBy(i -> i.getUserId() == null ? 0 : i.getUserId()));
//List分组统计,相当于数据库 select name,count(*)… group by name
Map<Long, Long> collect1 = list.stream().collect(Collectors.groupingBy(i -> i.getUserId() == null ? 0 : i.getUserId(), Collectors.counting()));
log.info(“=======” + (collect1));
5、limit
List collect2 = list.stream().limit(1).collect(Collectors.toList());
6、排序
List l3 = list.stream().sorted((s1, s2) -> s2.getAge().compareTo(s1.getAge())).collect(Collectors.toList());
7、判断年龄大于2
boolean check = list.stream().anyMatch(student -> student.getAge() > 2);
8、list拼接成字符串
String str = list.stream().map(UserInfo::getUserName).collect(Collectors.joining(“,”, “[”, “]”));
9、获取年龄的最大值、最小值、平均值、求和等等
IntSummaryStatistics intSummaryStatistics = list.stream().mapToInt(UserInfo::getAge).summaryStatistics();
System.out.println(intSummaryStatistics.getMax());
System.out.println(intSummaryStatistics.getCount());
System.out.println(intSummaryStatistics.getSum());