使用場景,有兩個List<Map<String,Object>>集合,第一個集合的所有元素都是需要保留的。
第一個集合的值為:
1
2
3
4
5
6
7
8
|
{name=張三豐 1 , id= 1 } {name=張三豐 2 , id= 2 } {name=張三豐 3 , id= 3 } {name=張三豐 4 , id= 4 } {name=張三豐 5 , id= 5 } {name=張三豐 6 , id= 6 } {name=張三豐 7 , id= 7 } {name=張三豐 8 , id= 8 } |
第二個集合的值為:
1
2
3
4
|
{grade= 61 , id= 1 } {grade= 62 , id= 2 } {grade= 63 , id= 3 } {grade= 64 , id= 4 } |
需要根據兩個集合中id值相同,就把第二個集合中的grade值賦給第一個集合,如果不匹配,默認grade值為0
結果是這樣:
1
2
3
4
5
6
7
8
|
{grade= 61 , name=張三豐 1 , id= 1 } {grade= 62 , name=張三豐 2 , id= 2 } {grade= 63 , name=張三豐 3 , id= 3 } {grade= 64 , name=張三豐 4 , id= 4 } {grade= 0 , name=張三豐 5 , id= 5 } {grade= 0 , name=張三豐 6 , id= 6 } {grade= 0 , name=張三豐 7 , id= 7 } {grade= 0 , name=張三豐 8 , id= 8 } |
具體實現代碼:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
|
@Test public void demo01(){ List<Map<String,Object>> list = new ArrayList<Map<String,Object>>(); for ( int i= 1 ;i< 9 ;i++){ Map<String,Object> map = new HashMap<>(); map.put( "id" ,i); map.put( "name" , "張三豐" +i); list.add(map); } Stream<Map<String, Object>> s1 = list.stream(); list.stream().forEach(map-> System.out.println(map)); List<Map<String,Object>> list2 = new ArrayList<Map<String,Object>>(); for ( int i= 1 ;i< 5 ;i++){ Map<String,Object> map2 = new HashMap<>(); map2.put( "id" ,i); map2.put( "grade" ,i+ 60 ); list2.add(map2); } list2.stream().forEach(s-> System.out.println(s)); /** * List<Map<Object, Object>> resultList = oneList.stream().map(map -> twoList.stream() * .filter(m -> Objects.equals(m.get("id"), map.get("id"))) * .findFirst().map(m -> { * map.putAll(m); * map.put("grade",90); * return map; * }).orElse(null)) * .filter(Objects::nonNull).collect(Collectors.toList()); */ /* List<Map<String, Object>> resultList2 = list.stream().map(m->{ m.put("grade",0); for (int i=0;i<list2.size();i++){ if(m.get("id").equals(list2.get(i).get("id"))){ m.put("grade",list2.get(i).get("grade")); break; } } return m; }).collect(Collectors.toList());*/ List<Map<String, Object>> resultList2 = list.stream().map(m->{ m.put( "grade" , 0 ); list2.stream().filter(m2->Objects.equals(m.get( "id" ), m2.get( "id" ))).forEach(s-> m.put( "grade" ,s.get( "grade" ))); return m; }).collect(Collectors.toList()); resultList2.stream().forEach(s-> System.out.println(s)); } |
補充知識:Java-8新特性-通過Stream獲取兩個List復雜對象的交并差集
思路:首先獲取兩個list的id,通過id比較獲取id的交并差集,再通過一次獲取list對象里面的交并差集元素
代碼直接可運行,個人覺得java8的stream非常類似ES6的集合運算,filter、foreach、map、reduce基本可以一一對應
代碼:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
|
package com.stream; import java.util.ArrayList; import java.util.List; import java.util.stream.Collectors; /** * * @ClassName: TwoListCopare * @Description: 兩個List<對象>取交集\并集\差集</> **/ public class TwoListCopare { public static void main(String[] args) { UserDTO userOld1 = new UserDTO( "1" , "aaa" , 22 ); UserDTO userOld2 = new UserDTO( "2" , "bbb" , 32 ); UserDTO userOld3 = new UserDTO( "3" , "ccc" , 11 ); UserDTO userOld4 = new UserDTO( "4" , "ddd" , 42 ); UserDTO userOld5 = new UserDTO( "5" , "bbb" , 22 ); UserDTO userOld6 = new UserDTO( "6" , "eee" , 24 ); UserDTO userNew1 = new UserDTO( "7" , "dada" , 22 ); //新增一個 UserDTO userNew2 = new UserDTO( "2" , "bbb" , 32 ); //不變一個 UserDTO userNew3 = new UserDTO( "3" , "kaka" , 33 ); //更新一個 UserDTO userNew4 = new UserDTO( "8" , "dbdb" , 42 ); //新增一個 UserDTO userNew5 = new UserDTO( "5" , "bbb" , 100 ); //更新一個 //當然,少了1,4,6 List<UserDTO> mapAdd = new ArrayList<>(); List<UserDTO> oldList = new ArrayList<>(); List<UserDTO> newList = new ArrayList<>(); //添加老數據 oldList.add(userOld1); oldList.add(userOld2); oldList.add(userOld3); oldList.add(userOld4); oldList.add(userOld5); oldList.add(userOld6); //添加新數據 newList.add(userNew1); newList.add(userNew2); newList.add(userNew3); newList.add(userNew4); newList.add(userNew5); //去交集,既獲取id相同的交集,需要更新 //1.先提取出id和結果,用map形式 List<String> oldIds = new ArrayList<>(); List<String> newIds = new ArrayList<>(); oldList.stream().forEach(it->oldIds.add(it.getId())); newList.stream().forEach(it->newIds.add(it.getId())); // oldIds.stream().forEach(System.out::println); // newIds.stream().forEach(System.out::println); //取交集id System.out.println( "-----------------交集----------------------" ); List<String> collectUpdate = newIds.stream().filter(it -> oldIds.contains(it)).collect(Collectors.toList()); collectUpdate.stream().forEach(System.out::println); //取對應交集的對象 System.out.println( "------------------交集的對象---------------------" ); List<UserDTO> userUpdate = newList.stream().filter(it -> collectUpdate.contains(it.getId())).collect(Collectors.toList()); userUpdate.stream().forEach(System.out::println); //取old的差集 System.out.println( "-----------------old的差集----------------------" ); List<String> collectDelete = oldIds.stream().filter(it -> !newIds.contains(it)).collect(Collectors.toList()); collectDelete.stream().forEach((System.out::println)); //取對應old差集對象 System.out.println( "-----------------old差集對象----------------------" ); List<UserDTO> userDelete = oldList.stream().filter(it -> collectDelete.contains(it.getId())).collect(Collectors.toList()); userDelete.stream().forEach(System.out::println); //取new的差集 System.out.println( "-----------------new的差集----------------------" ); List<String> collectAdd = newIds.stream().filter(it -> !oldIds.contains(it)).collect(Collectors.toList()); collectAdd.stream().forEach((System.out::println)); //取對應old差集對象 System.out.println( "-------------------old差集對象--------------------" ); List<UserDTO> userAdd = newList.stream().filter(it -> collectAdd.contains(it.getId())).collect(Collectors.toList()); userAdd.stream().forEach(System.out::println); //取并集 System.out.println( "-------------------并集--------------------" ); List<String> allIds = new ArrayList<>(); //獲取一個包含了oldIds和newIds的總結合,但是沒有去重 allIds.addAll(oldIds); allIds.addAll(newIds); //去重,獲取并集ids的新集合 List<String> joinIds = allIds.stream().distinct().collect(Collectors.toList()); joinIds.stream().forEach(System.out::println); } } |
結果:
ps:并集對象集合并沒有寫,因為能夠得到判斷id自然就能得到了
以上這篇Java8 Stream對兩個 List 遍歷匹配數據的優化處理操作就是小編分享給大家的全部內容了,希望能給大家一個參考,也希望大家多多支持服務器之家。
原文鏈接:https://blog.csdn.net/u011442726/article/details/96770773