以下是一个示例场景:
想象一下,我们有员工记录,如:
name, age, salary (in 1000 dollars)
a, 20, 50
b, 22, 53
c, 34, 79
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等等.目标是计算不同年龄组的平均工资(例如21至30岁和31至40岁等).
我想用这个来做stream,我只是无法理解我需要用它groupingBy来完成这项工作.我想也许我需要定义某种元组年龄范围.有任何想法吗?
以下代码应该为您提供所需的内容.关键是支持分组的"收藏家"类.
Map<Double,Integer> ageGroup= employees.stream().collect(Collectors.groupingBy(e->Math.ceil(e.age/10.0),Collectors.summingInt(e->e.salary)));
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假设工资是整数但很容易切换到双倍的插图
完整的程序看起来像
public static void main(String[] args) {
// TODO Auto-generated method stub
List<Employee> employees = new ArrayList<>();
employees.add(new Employee("a",20,100));
employees.add(new Employee("a",21,100));
employees.add(new Employee("a",35,100));
employees.add(new Employee("a",32,100));
Map<Double,Integer> ageGroup= employees.stream().collect(Collectors.groupingBy(e->Math.ceil(e.age/10.0),Collectors.summingInt(e->e.salary)));
System.out.println(ageGroup);
}
public static class Employee {
public Employee(String name, int age, int salary) {
super();
this.name = name;
this.age = age;
this.salary = salary;
}
public String name;
public int age;
public int salary;
}
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输出是
{4.0=200, 2.0=100, 3.0=100}
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是的,您可以定义一个AgeGroup接口,甚至可以enum定义这样的接口(假设Employee定义):
enum AgeGroup {
TWENTIES,
THIRTIES,
FORTIES,
FIFTIES;
.....
}
Function<Employee, AgeGroup> employee2Group = e -> {
if(e.age >= 20 && e.getAge() < 30)
return AgeGroup.TWENTIES;
....
return null;
};
Map<AgeGroup, Double> avgByAgeGroup = employees.stream()
.collect(Collectors.groupingBy(employee2Group, Collectors.averagingInt(Employee::getSalary)));
avgByAgeGroup.get(AgeGroup.TWENTIES)
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