我想在截止日期对Rental对象的集合进行分组,但我想为每个组创建一个新的RentalReport对象,其中键作为预定义值(枚举),并且该组将成为该对象上的属性。我通过在每个条件上拟合集合并为每个标准创建一个RentalReport对象来实现这一点,但我想知道是否可以使用Collectors类的groupingBy方法完成此操作。
是否可以按照Java 8中预定义的一组过滤器进行分组,这样我就可以创建一个映射,其中键是枚举,值是Rental对象的集合。然后我可以迭代这个地图并生成RentalReport对象。
我已经创建了这个演示,但真正的任务涉及多个group by子句,所以如果我可以通过分组实现这一点,那将会很棒。
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;
import org.joda.time.DateTime;
public class TestGrouping {
enum RentalClassification {
UNRESTRICTED, //No restriction restricted=false
OVERDUE, //todays date after due date.
NEARLY_OVERDUE, // todays date after due date + 2 days
NOT_OVERDUE
}
public static void main(String[] args) {
class Rental {
Integer rentalId;
Integer productId;
boolean restricted;
DateTime dueDate;
public Rental(Integer rentalId, Integer productId, boolean restricted, DateTime dueDate){
this.rentalId = rentalId;
this.productId = productId;
this.restricted = restricted;
this.dueDate = dueDate;
}
public Integer getRentalId() {
return rentalId;
}
public void setRentalId(Integer rentalId) {
this.rentalId = rentalId;
}
public Integer getProductId() {
return productId;
}
public void setProductId(Integer productId) {
this.productId = productId;
}
public boolean isRestricted() {
return restricted;
}
public void setRestricted(boolean restricted) {
this.restricted = restricted;
}
public DateTime getDueDate() {
return dueDate;
}
public void setDueDate(DateTime dueDate) {
this.dueDate = dueDate;
}
public String toString(){
return "RentalId:"+this.rentalId+". ProductId:"+this.productId+". Due date:"+this.dueDate+". -";
}
}
class RentalReport {
RentalClassification classification;
List<Rental> rentals;
public RentalReport(RentalClassification classification, List<Rental> rentals) {
this.classification = classification;
this.rentals = rentals;
}
public RentalClassification getClassification() {
return classification;
}
public void setClassification(RentalClassification classification) {
this.classification = classification;
}
public List<Rental> getRentals() {
return rentals;
}
public void setRentals(List<Rental> rentals) {
this.rentals = rentals;
}
public String toString(){
StringBuilder sb = new StringBuilder("Classification:"+this.classification.name()+". Rental Ids:");
this.rentals.forEach(r -> sb.append(r.getRentalId()));
return sb.toString();
}
}
DateTime today = new DateTime();
List<Rental> rentals = Arrays.asList(
new Rental(1,100, true, today.plusDays(-10)),
new Rental(2,101, false, today.plusDays(-10)),
new Rental(3,102, true, today.plusDays(-4)),
new Rental(4,103, true, today.plusDays(-4)),
new Rental(5,104, true, today.plusDays(-4)),
new Rental(6,105, true, today.plusDays(2)),
new Rental(7,106, true, today.plusDays(2)),
new Rental(8,107, true, today.plusDays(2)),
new Rental(9,108, true, today.plusDays(4)),
new Rental(10,109, true, today.plusDays(5))
);
List<RentalReport> rentalReports = new ArrayList<RentalReport>();
List<Rental> unrestrictedRentals = rentals.stream()
.filter(r -> !r.isRestricted())
.collect(Collectors.toList());
rentalReports.add(new RentalReport(RentalClassification.UNRESTRICTED, unrestrictedRentals));
List<Rental> overdueRentals = rentals.stream()
.filter(r -> r.isRestricted() && r.getDueDate().isBefore(new DateTime()))
.collect(Collectors.toList());
rentalReports.add(new RentalReport(RentalClassification.OVERDUE, overdueRentals));
List<Rental> nearlyOverdueRentals = rentals.stream()
.filter(r -> r.isRestricted()
&& r.getDueDate().isAfter(new DateTime())
&& r.getDueDate().isBefore(new DateTime().plusDays(2)))
.collect(Collectors.toList());
rentalReports.add(new RentalReport(RentalClassification.NEARLY_OVERDUE, nearlyOverdueRentals));
List<Rental> notOverdueRentals = rentals.stream()
.filter(r -> r.isRestricted() && r.getDueDate().isAfter(new DateTime()))
.collect(Collectors.toList());
rentalReports.add(new RentalReport(RentalClassification.NOT_OVERDUE, notOverdueRentals));
System.out.println("Rental Reports: "+rentalReports.toString());
}
}
答案 0 :(得分:2)
你的4个enum RentalClassification
常数之间显然存在一对一的关系
和4个测试lambda表达式。
因此,将每个lambda表达式与相应的enum
常量相结合是有意义的
每个enum
常量将其测试lambda表达式保持为
Predicate<Rental>
。
enum
类型将使用boolean test(Rental)
方法进行测试
有自己的Predicate
。
虽然我们在这里:因为test
方法
我们可以将implements Predicate<Rental>
添加到enum
类型。
这最终会变得有用。
enum RentalClassification implements Predicate<Rental> {
UNRESTRICTED( //No restriction restricted=false
r -> !r.isRestricted()),
OVERDUE( //todays date after due date.
r -> r.isRestricted()
&& r.getDueDate().isBefore(new DateTime())),
NEARLY_OVERDUE( // todays date after due date + 2 days
r -> r.isRestricted()
&& r.getDueDate().isAfter(new DateTime())
&& r.getDueDate().isBefore(new DateTime().plusDays(2))),
NOT_OVERDUE(
r -> r.isRestricted()
&& r.getDueDate().isAfter(new DateTime()));
private RentalClassification(Predicate<Rental> predicate) {
this.predicate = predicate;
}
private Predicate<Rental> predicate;
@Override
public boolean test(Rental r) {
return predicate.test(r);
}
}
使用此增强型enum
类型,您可以编写一个简单的方法来对Rental
进行分类。
它将循环遍历所有RentalClassification
常量
直到找到测试成功的地方:
static RentalClassification classify(Rental rental) {
for (RentalClassification classification : RentalClassification.values()) {
if (classification.test(rental))
return classification;
}
return null; // should not happen
}
使用这种分类方法,您可以轻松创建所需的地图:
Map<RentalClassification, List<Rental>> map =
rentals.stream()
.collect(Collectors.groupingBy(r -> classify(r)));
或者,可能存在稍微不同的方法。它直接使用enum
常量作为过滤谓词来获取多个列表:
List<Rental> unrestrictedRentals =
rentals.stream()
.filter(RentalClassification.UNRESTRICTED)
.collect(Collectors.toList());
List<Rental> overdueRentals =
rentals.stream()
.filter(RentalClassification.OVERDUE)
.collect(Collectors.toList());
// ...
答案 1 :(得分:1)
这样的事情怎么样:
rentals.stream().collect(Collectors.groupingBy(r -> {
if (!r.isRestricted()) {
return RentalClassification.UNRESTRICTED;
}
if (r.isRestricted() && r.getDueDate().isBefore(new DateTime())) {
return RentalClassification.OVERDUE;
}
// and so on
}));
将lambda作为方法RentalClassification getRentalClassification()
答案 2 :(得分:1)
这是一种方法:
List<RentalClassification,List<Rental>> = rentals
.stream()
.map(r -> getClassifiedRental(r))
.collect(Collectors.groupingBy(SimpleEntry::getKey,Collectors.mapping(SimpleEntry::getValue,Collectors.toList())))
整个技巧在getClassifiedRental(Rental r)
方法中:
SimpleEntry<RentalClassification,Rental> getClassifiedRental(Rental r){
if(r -> !r.isRestricted())
return new SimpleEntry<RentalClassification,Rental>(RentalClassification.UNRESTRICTED,r);
if(r -> r.isRestricted() && r.getDueDate().isBefore(new DateTime()))
return new SimpleEntry<RentalClassification,Rental>(RentalClassification.OVERDUE,r);
if(r -> r.isRestricted()
&& r.getDueDate().isAfter(new DateTime())
&& r.getDueDate().isBefore(new DateTime().plusDays(2)))
return new SimpleEntry<RentalClassification,Rental>(RentalClassification.NEARLY_OVERDUE,r);
if(r -> r.isRestricted() && r.getDueDate().isAfter(new DateTime()))
return new SimpleEntry<RentalClassification,Rental>(RentalClassification.NOT_OVERDUE,r);
}
带有SimpleEntry
的是Map.Entry
接口的自定义实现(您必须自己编写):
public class SimpleEntry implements Entry<RentalClassification, Rental> {
// implementation
}
让getClassifiedRental(Rental r)
帮助您分离租赁分类例程,以便更好地进行测试,重构,例如
答案 3 :(得分:1)
这是使用groupingBy的一种方法。
Function<Rental, RentalClassification> classifyRental = r -> {
if (!r.isRestricted())
return RentalClassification.UNRESTRICTED;
else if (r.getDueDate().isBefore(new DateTime()))
return RentalClassification.OVERDUE;
else if (r.getDueDate().isAfter(new DateTime())
&& r.getDueDate().isBefore(new DateTime().plusDays(2)))
return RentalClassification.NEARLY_OVERDUE;
else
return RentalClassification.NOT_OVERDUE;
};
Map<RentalClassification, List<Rental>> rentalReportMap = rentals.stream()
.collect(groupingBy(classifyRental));
rentalReportMap
.forEach((classification, rental) -> rentalReports.add(new RentalReport(classification, rental)));