将 List 转为 Map<String, T>
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public class AnswerApp {
public static void main(String[] args) throws Exception {
List<String> names = Lists.newArrayList( "Answer" , "AnswerAIL" , "AI" );
Map<String, Integer> map = names.stream().collect(Collectors.toMap(v -> v, v -> 1 ));
System.out.println(map);
}
}
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程序运行输出
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{Answer= 1 , AnswerAIL= 1 , AI= 1 }
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将 List 转为 Map<K, V>
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public static void main(String[] args) throws Exception {
List<User> users = new ArrayList<>();
for ( int i = 0 ; i < 3 ; i++) {
users.add( new User( "answer" + i, new Random().nextInt( 100 )));
}
System.out.println(JSON.toJSONString(users));
System.out.println();
Map<String, Integer> map = users.stream().collect(Collectors.toMap(User::getName, User::getAge));
System.out.println(map);
}
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程序运行输出
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[{ "age" : 78 , "name" : "answer0" },{ "age" : 89 , "name" : "answer1" },{ "age" : 72 , "name" : "answer2" }]
{answer2= 72 , answer1= 89 , answer0= 78 }
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将 List 转为 Map<String, T>
实现方式1
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public class AnswerApp {
public static void main(String[] args) throws Exception {
List<User> users = new ArrayList<>();
for ( int i = 0 ; i < 3 ; i++) {
// 改为此代码, 转map时会报错 Duplicate key User
// users.add(new User("answer", new Random().nextInt(100)));
users.add( new User( "answer" + i, new Random().nextInt( 100 )));
}
System.out.println(JSON.toJSONString(users));
System.out.println();
Map<String, User> map = users.stream().collect(Collectors.toMap(User::getName, Function.identity()));
System.out.println(JSON.toJSONString(map));
}
}
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该方式如果 map 的 key(如上述例子的 User::getName 的值) 重复, 会抛错java.lang.IllegalStateException: Duplicate key User
程序运行输出
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[{ "age" : 22 , "name" : "answer0" },{ "age" : 79 , "name" : "answer1" },{ "age" : 81 , "name" : "answer2" }]
{ "answer2" :{ "age" : 81 , "name" : "answer2" }, "answer1" :{ "age" : 79 , "name" : "answer1" }, "answer0" :{ "age" : 22 , "name" : "answer0" }}
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实现方式2
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public class AnswerApp {
public static void main(String[] args) throws Exception {
List<User> users = new ArrayList<>();
for ( int i = 0 ; i < 3 ; i++) {
users.add( new User( "answer" , new Random().nextInt( 100 )));
}
System.out.println(JSON.toJSONString(users));
System.out.println();
// 如果 key 重复, 则根据 冲突方法 ·(key1, key2) -> key2· 判断. 解释: key1 key2 冲突时 取 key2
Map<String, User> map = users.stream().collect(Collectors.toMap(User::getName, Function.identity(), (key1, key2) -> key2));
System.out.println(JSON.toJSONString(map));
}
}
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程序运行输出
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[{ "age" : 24 , "name" : "answer" },{ "age" : 89 , "name" : "answer" },{ "age" : 68 , "name" : "answer" }]
{ "answer" :{ "age" : 68 , "name" : "answer" }}
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如果改为 (key1, key2) -> key1 则输出 {"answer":{"age":24,"name":"answer"}}
User 实体
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@Data
@NoArgsConstructor
@AllArgsConstructor
public class User {
private Long id;
private String name;
private Integer age;
public User(String name) {
this .name = name;
}
public User(String name, Integer age) {
this .name = name;
this .age = age;
}
}
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补充:java8中使用Lambda表达式将list中实体类的两个字段转Map
代码:
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List<Entity> list = new ArrayList<>();
Map<Integer, String> map = list.stream().collect(Collectors.toMap(Entity::getId, Entity::getType));
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常用的lambda表达式:
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**
* List -> Map
* 需要注意的是:
* toMap 如果集合对象有重复的key,会报错Duplicate key ....
* apple1,apple12的id都为 1 。
* 可以用 (k1,k2)->k1 来设置,如果有重复的key,则保留key1,舍弃key2
*/
Map<Integer, Apple> appleMap = appleList.stream().collect(Collectors.toMap(Apple::getId, a -> a,(k1,k2)->k1));
安照某一字段去重
list = list.stream().filter(distinctByKey(p -> ((ModCreditColumn) p).getFieldCode())).collect(Collectors.toList());
List<Double> unitNetValue = listIncreaseDto.stream().map(IncreaseDto :: getUnitNetValue).collect(Collectors.toList());
//求和 对象List
BigDecimal allFullMarketPrice = entityList.stream().filter(value -> value.getFullMarketPrice()!= null ).map(SceneAnalysisRespVo::getFullMarketPrice).reduce(BigDecimal.ZERO, BigDecimal::add);
List<BigDecimal> naturalDayList;
BigDecimal total = naturalDayList.stream().reduce(BigDecimal.ZERO, BigDecimal::add);
分组函数
Map<String, List<SceneAnalysisRespVo>> groupMap = total.getGroupList().stream().collect(Collectors.groupingBy(SceneAnalysisRespVo::getVmName));
//DV01之和
BigDecimal allDV01 = values.stream().filter(sceneAnalysisRespVo -> sceneAnalysisRespVo.getDv() != null ).map(SceneAnalysisRespVo::getDv).reduce(BigDecimal.ZERO, BigDecimal::add);
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以上为个人经验,希望能给大家一个参考,也希望大家多多支持服务器之家。如有错误或未考虑完全的地方,望不吝赐教。
原文链接:https://jaemon.blog.csdn.net/article/details/92685846