这篇文章给大家分享的是有关List集合按某个属性或者字段进行分组的示例分析的内容。小编觉得挺实用的，因此分享给大家做个参考，一起跟随小编过来看看吧。
核心代码
计算
安全
数据库
网络和加速
企业服务
Map<String, List<Student>> collect = stuList.stream().collect(Collectors.groupingBy(Student::getInstitution));实现代码示例：
public static void main(String[] args) {
List<Student> stuList=initStuList2();
Map<String, List<Student>> collect = stuList.stream().collect(Collectors.groupingBy(Student::getInstitution));
for(String key:collect.keySet()){
System.out.println(key+":" +collect.get(key).size());
System.out.println(collect.get(key));
}
}
public static List<Student> initStuList2(){
List<Student> stuList=new ArrayList<Student>(1000);
for(int i=0;i<10;i++){
Student student = new Student();
long stu=(long) ((Math.random()*9+10000)*1000000);
String Idcard=String.valueOf(stu).substring(0, 9);
String ids=UUID.randomUUID().toString().replaceAll("-","");
student.setId(ids);
student.setUsername("student"+i);
student.setClasses("计算机"+i);
student.setIdcard("362425199"+Idcard);
String [] institution={"信息学院","文学院","音乐学院","体院","理学院","机电学院"};
int ss=(int)(Math.random()*6);
student.setInstitution(institution[ss]);
student.setMobile("18179"+Idcard.substring(0, 6));
student.setEmail(Idcard+"@qq.com");
student.setQq(Idcard);
student.setHomeaddress("广东省深圳市");
student.setWeixin(Idcard);
if(i%50==0){student.setSex("广东省深圳市");}
else{
String[] sexs={"男","女"};
int ii=((int) Math.random());
student.setSex(sexs[ii]);
}
student.setCreateby("拿破仑");
student.setCreatetime(new Date());
stuList.add(student);
}
return stuList;
}实现效果
按照学院分组，得到体院集合中6个对象，文学院2个对象，理学院1个对象，信息学院1个对象
核心代码：
Map<String, List<Map<String, Object>>> gslist = agentList.stream().collect(Collectors.groupingBy(e -> e.get("sex").toString()));实现代码示例
public static void main(String[] args) {
List<Map<String,Object>> agentList=init();
HashMap<String, Object> hashMap =(HashMap<String, Object>) agentList.get(0);
Map<String, List<Map<String, Object>>> gslist = agentList.stream().collect(Collectors.groupingBy(e -> e.get("sex").toString()));
for(String key:gslist.keySet()){
System.out.println(key+" : "+gslist.get(key).size());
System.out.println(gslist.get(key));
}
}
/***
* 初始化联系信�?
* @return
*/
public static List<Map<String,Object>> init(){
String insertID=UUID.randomUUID().toString().replaceAll("-","");
List<Map<String,Object>> concacts= new ArrayList<Map<String,Object>>();
long time1=System.currentTimeMillis();
for(int i=0;i<10;i++){
String id=UUID.randomUUID().toString().replaceAll("-","");
Map<String, Object> map = new HashMap<String,Object>();
map.put("id", id);
map.put("name", "张三");
map.put("identity_no", "36242519961225"+(int)(Math.random()*10000+1000));
map.put("telphone","1852562"+(int)(Math.random()*10000+1000));
map.put("address","江西吉安");
map.put("levels", "VIP");
map.put("source", 0);
map.put("flight_no", "ZH9101");
map.put("planned_takeofftime", "1220");
map.put("estimated_takeofftime", "1425");
map.put("flight_change_type", 1);
map.put("flight_change_reason", "军事活动");
map.put("flightdate","2019-05-01");
map.put("en_name", "ZHANG/SAN");
map.put("traveller_idx", (int)(Math.random()*1000+100));
String [] sexs={"男","女","同性恋","人妖"};
int kk=(int) (Math.random()*4);
map.put("sex", sexs[kk]);
map.put("phone_num","1302880"+(int)(Math.random()*10000+1000));
map.put("originating", "SZX");
map.put("terminus", "BKK");
map.put("ticketid", (int)(Math.random()*10000+1000));
map.put("mainspace", "J");
map.put("sonspace", "C");
map.put("message_info", "4");
map.put("extension", "1892562"+(int)(Math.random()*10000+1000));
map.put("officeid", (int)(Math.random()*10000+1000));
map.put("pnrics", (int)(Math.random()*10000+1000));
map.put("traveller_safe", "2019-02-23 ZH9007");
map.put("phone_inform", 1);
concacts.add(map);
}
long time2=System.currentTimeMillis();
//System.out.println("初始化数据花�?"+(time2-time1)/1000);
return concacts;
} 实现效果
假设有个student类，有id、name、score属性，list集合中存放所有学生信息，现在要根据学生姓名进行分组。
public Map<String, List<Student>> groupList(List<Student> students) {
Map<String, List<Student>> map = new Hash<>();
for (Student student : students) {
List<Student> tmpList = map.get(student.getName());
if (tmpList == null) {
tmpList = new ArrayList<>();
tmpList.add(student);
map.put(student.getName(), tmpList);
} else {
tmpList.add(student);
}
}
return map;
}public Map<String, List<Student>> groupList(List<Student> students) {
Map<String, List<Student>> map = students.stream().collect(Collectors.groupingBy(Student::getName));
return map;
}感谢各位的阅读！关于“List集合按某个属性或者字段进行分组的示例分析”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，让大家可以学到更多知识，如果觉得文章不错，可以把它分享出去让更多的人看到吧！
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