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java 8,lambda,对象复制:创建规范化对象的新列表

[英]java 8, lambda , Objects copying: Creating a new list of Normalized objects

从 REST 服务中,我将得到员工列表的响应。 其中可能包含以下定义的同一员工的多个地址。

[Employee{empId=1, name='Emp1', address='Emp1 Address1'},
Employee{empId=1, name='Emp1', address='Emp1 Address 2'},
Employee{empId=2, name='Emp2', address='Emp2 Address 1'}]

通过创建另一个列表,即List<EmployeeNormalized > ,需要以标准化方式处理上述响应,如下所述。

[EmployeeNormalized{empId=1, name='Emp1',
addresses=[Emp1 Address1, Emp1 Address 2]},
EmployeeNormalized{empId=2, name='Emp2', addresses=[Emp2 Address 1]}]

代码片段:

class Employee {
    private int empId;
    private String name;
    private String address;

    public Employee(int empId, String name, String address) {
        this.empId = empId;
        this.name = name;
        this.address = address;
    }
   // Setters and Getters
}

class EmployeeNormalized {
    private int empId;
    private String name;
    private List<String> addresses;

    public EmployeeNormalized(int empId, String name, List<String> address) {
        this.empId = empId;
        this.name = name;
        this.addresses = address;
    }
   // Setters and Getters
} 

List<EmployeeNormalized >必须包含唯一的员工对象,并且EmployeeNormalized class 中的List<String>应该包含该员工的所有地址。

如何创建这种标准化形式的列表?

Stream 解决方案:

public class Normalize {

    public static void main(String[] args) {
        List<Employee> employees = new ArrayList<>();
        employees.add(new Employee(1, "Emp1", "Address 1"));
        employees.add(new Employee(1, "Emp1", "Address 2"));
        employees.add(new Employee(2, "Emp2", "Address 3"));
        List<EmployeeNormalized> employeeNormalizedList = employees.stream()
                .map(new Function<Employee, EmployeeNormalized>() {

                    private final Map<Integer, EmployeeNormalized> employeeIdMap = new HashMap<>();

                    @Override
                    public EmployeeNormalized apply(Employee employee) {
                        EmployeeNormalized normalized = this.employeeIdMap.computeIfAbsent(employee.getEmpId(),
                                key -> new EmployeeNormalized(employee.getEmpId(), employee.getName(), new ArrayList<>()));
                        normalized.getAddresses().add(employee.getAddress());
                        return normalized;
                    }
                })
                .distinct()
                .collect(Collectors.toList());
        employeeNormalizedList.forEach(System.out::println);
    }
}

相当复杂,需要调用 distinct 来消除重复的实例。

我会 go 用于简单的循环:

public class Normalize {

    public static void main(String[] args) {
        List<Employee> employees = new ArrayList<>();
        employees.add(new Employee(1, "Emp1", "Address 1"));
        employees.add(new Employee(1, "Emp1", "Address 2"));
        employees.add(new Employee(2, "Emp2", "Address 3"));

        Map<Integer, EmployeeNormalized> employeeIdMap = new HashMap<>();
        for (Employee employee : employees) {
            EmployeeNormalized normalized = employeeIdMap.computeIfAbsent(employee.getEmpId(), key -> new EmployeeNormalized(employee.getEmpId(), employee.getName(), new ArrayList<>()));
            normalized.getAddresses().add(employee.getAddress());
        }
        List<EmployeeNormalized> employeeNormalizedList = new ArrayList<>(employeeIdMap.values());
        employeeNormalizedList.forEach(System.out::println);
    }
}

基本上,这两种解决方案都使用员工 ID 作为唯一标识符,并使用 map 实例作为 ID。 如果第一次遇到id,则创建实例并添加地址,如果已经有该id的实例,则获取实例并添加地址。

这个任务可以用 Stream API 来解决,前提是有一些包装类/记录来表示一个(employeeId 和employeeName)。 即使是普通的ArrayList<Object>也可以用于此目的,但自 Java 16 以来引入record ,最好使用它们。

解决方案本身非常简单:使用Collectors.groupingBy创建一个键,使用Collectors.mapping构建每个员工的地址列表,最后在EmployeeNormalized中加入键( employeeIdemployeeName )和地址值列表:

//
List<Employee> employees = .... ; // build employee list
List<EmployeeNormalized> normEmployees = employees
    .stream()
    .collect(Collectors.groupingBy(
        emp -> Arrays.asList(emp.getEmpId(), emp.getName()),
        LinkedHashMap::new, // maintain insertion order
        Collectors.mapping(Employee::getAddress, Collectors.toList())
    )) // Map<List<Object>, List<String>>
    .entrySet()
    .stream()
    .map(e -> new EmployeeNormalized(
        ((Integer) e.getKey().get(0)).intValue(), // empId
        (String) e.getKey().get(1),               // name
        e.getValue()
    ))
    .collect(Collectors.toList());

使用record允许维护类型安全的键而无需额外的转换。 可以用一个小的包装器 class 替换记录,以表示一个带有hashCode / equals方法的键,因为此 class 的实例用作中间 map 中的键。

// Java 16+
record EmpKey(int empId, String name) {}

List<EmployeeNormalized> normEmployees = employees
    .stream()
    .collect(Collectors.groupingBy(
        emp -> new EmpKey(emp.getEmpId(), emp.getName()),
        LinkedHashMap::new, // maintain insertion order
        Collectors.mapping(Employee::getAddress, Collectors.toList())
    )) // Map<List<Object>, List<String>>
    .entrySet()
    .stream()
    .map(e -> new EmployeeNormalized(
        e.getKey().empId(), e.getKey().name(), e.getValue()
    ))
    .collect(Collectors.toList());

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