Java Lambda转 Map
放羊的牧码 人气:0故事背景
我们平时在项目中经常会遇到 List 转 Map 的情况,但是传统的方式又显得太臃肿,于是就想到 Lambda 神器,今天我们就来看看都有哪几种转换方式(List -> Map)
公共代码
// Person 实体类 @Data class Person { private String uuid; private String name; private String gender; private int age; public Person(String name, String gender, int age) { this.uuid = UUID.randomUUID().toString(); this.name = name; this.gender = gender; this.age = age; } } // List 集合 List<Person> persons = new ArrayList<>(); persons.add(new Person("张三", "男", 27)); persons.add(new Person("李四", "男", 14)); persons.add(new Person("王五", "女", 17)); persons.add(new Person("赵六", "女", 34));
方式一(partitioningBy 分两组)
partitioningBy要求传入一个Predicate,会按照满足条件和不满足条件分成两组,得到的结果是Map<Boolean, List<T>>结构,比如我们按是否未成年分成两组
Map<Boolean, List<Person>> personsByAge = persons.stream() .collect(Collectors.partitioningBy(p -> p.getAge() > 18)); System.out.println(JSON.toJSONString(personsByAge)); // 输出 { false: [{ "age": 14, "gender": "男", "name": "李四", "uuid": "9fc3be98-f676-42a4-9f02-ebdab328103a" }, { "age": 17, "gender": "女", "name": "王五", "uuid": "3621044d-25a1-4946-a765-57b074f63f26" }], true: [{ "age": 27, "gender": "男", "name": "张三", "uuid": "3f87ec59-29a1-4137-b95b-ae755f0e06ca" }, { "age": 34, "gender": "女", "name": "赵六", "uuid": "04ed8e9f-545b-49f5-a28b-ce0cccd15663" }] }
方式二(groupingBy 分多组)
比如按照性别进行分组,得到的是Map<String, List<T>>结构
Map<String, List<Person>> personByGender = persons.stream() .collect(Collectors.groupingBy(Person::getGender)); System.out.println(JSON.toJSONString(personByGender)); // 输出 { "女": [{ "age": 17, "gender": "女", "name": "王五", "uuid": "feb8ca82-789f-445e-9e85-c14aa1d70546" }, { "age": 34, "gender": "女", "name": "赵六", "uuid": "6402b5ec-03cd-45d1-aa6d-7134509ca670" }], "男": [{ "age": 27, "gender": "男", "name": "张三", "uuid": "e2c5ec58-5767-4807-8470-56a016dbc5eb" }, { "age": 14, "gender": "男", "name": "李四", "uuid": "d10aad57-038b-4ff8-8b36-86045d657c5a" }] }
方式三(toMap 自定义<Key, Value>)
前面介绍的partitioningBy和groupingBy返回Map的value部分都是List<T>结构的,有时我们需要value是对象的一个属性,比如我们想构造一个uuid到name的映射,以方便通过uuid快速获取人员的名字
Map<String, String> uuidNameMap = persons.stream() .collect(Collectors.toMap(Person::getUuid, Person::getName)); System.out.println(JSON.toJSONString(uuidNameMap)); // 输出 { "7a021022-fa62-4f57-bf33-873b8e030cc3": "王五", "e0bad9e6-2c3c-417e-9d27-3b321312421a": "张三", "895b0f95-b4fd-481e-ba6c-33f0b636e6cf": "李四", "fcb6f403-8489-4853-98c5-6f41341165ba": "赵六" }
实际情况有可能同一个key会对应多个value,就有可能抛Duplicate key异常。这时可以传入第三个参数决定重复时如何选择,比如我们想构造<name, uuid>的映射,但是考虑可能有重名的可能,就可以这么做(Tips:这里(p1, p2) -> p1表示如果重复则取前者)
Map<String, String> nameUuidMap = persons.stream() .collect(Collectors.toMap(Person::getName, Person::getUuid, (p1, p2) -> p1)); System.out.println(JSON.toJSONString(nameUuidMap));
附加: 如何呈现 <Person::getName, Person> 这种数据结构呢?
Map<String, Person> namePersonMap = persons.stream() .collect(Collectors.toMap(Person::getName, v -> v, (p1, p2) -> p1)); System.out.println(JSON.toJSONString(namePersonMap));
加载全部内容