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按属性对对象列表进行分组

[英]Group a list of objects by an attribute

我需要使用特定 object 的属性( Location )对对象列表( Student )进行分组。 代码如下:

public class Grouping {
    public static void main(String[] args) {

        List<Student> studlist = new ArrayList<Student>();
        studlist.add(new Student("1726", "John", "New York"));
        studlist.add(new Student("4321", "Max", "California"));
        studlist.add(new Student("2234", "Andrew", "Los Angeles"));
        studlist.add(new Student("5223", "Michael", "New York"));
        studlist.add(new Student("7765", "Sam", "California"));
        studlist.add(new Student("3442", "Mark", "New York"));

    }
}

class Student {
    String stud_id;
    String stud_name;
    String stud_location;

    Student(String sid, String sname, String slocation) {
        this.stud_id = sid;
        this.stud_name = sname;
        this.stud_location = slocation;
    }
}

请建议我一个干净的方法来做到这一点。

在 Java 8 中:

Map<String, List<Student>> studlistGrouped =
    studlist.stream().collect(Collectors.groupingBy(w -> w.stud_location));

这会将学生对象添加到以locationID为键的HashMap

HashMap<Integer, List<Student>> hashMap = new HashMap<Integer, List<Student>>();

迭代此代码并将学生添加到HashMap

if (!hashMap.containsKey(locationId)) {
    List<Student> list = new ArrayList<Student>();
    list.add(student);

    hashMap.put(locationId, list);
} else {
    hashMap.get(locationId).add(student);
}

如果您希望所有学生都具有特定位置的详细信息,则可以使用以下命令:

hashMap.get(locationId);

这将使您获得具有相同位置 ID 的所有学生。

Map<String, List<Student>> map = new HashMap<String, List<Student>>();

for (Student student : studlist) {
    String key  = student.stud_location;
    if(map.containsKey(key)){
        List<Student> list = map.get(key);
        list.add(student);

    }else{
        List<Student> list = new ArrayList<Student>();
        list.add(student);
        map.put(key, list);
    }

}

使用Java 8

import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import java.util.stream.Stream;

class Student {

    String stud_id;
    String stud_name;
    String stud_location;

    public String getStud_id() {
        return stud_id;
    }

    public String getStud_name() {
        return stud_name;
    }

    public String getStud_location() {
        return stud_location;
    }



    Student(String sid, String sname, String slocation) {

        this.stud_id = sid;
        this.stud_name = sname;
        this.stud_location = slocation;

    }
}

class Temp
{
    public static void main(String args[])
    {

        Stream<Student> studs = 
        Stream.of(new Student("1726", "John", "New York"),
                new Student("4321", "Max", "California"),
                new Student("2234", "Max", "Los Angeles"),
                new Student("7765", "Sam", "California"));
        Map<String, Map<Object, List<Student>>> map= studs.collect(Collectors.groupingBy(Student::getStud_name,Collectors.groupingBy(Student::getStud_location)));
                System.out.println(map);//print by name and then location
    }

}

结果将是:

{
    Max={
        Los Angeles=[Student@214c265e], 
        California=[Student@448139f0]
    }, 
    John={
        New York=[Student@7cca494b]
    }, 
    Sam={
        California=[Student@7ba4f24f]
    }
}

Java 8 groupingBy 收集器

可能已经晚了,但我想分享一个对这个问题的改进想法。 这与@Vitalii Fedorenko 的回答基本相同,但更容易玩。

您可以通过将分组逻辑作为函数参数传递来使用Collectors.groupingBy() ,您将获得带有关键参数映射的拆分列表。 请注意,当提供的列表为null时,使用Optional是为了避免不需要的 NPE

public static <E, K> Map<K, List<E>> groupBy(List<E> list, Function<E, K> keyFunction) {
    return Optional.ofNullable(list)
            .orElseGet(ArrayList::new)
            .stream()
            .collect(Collectors.groupingBy(keyFunction));
}

现在你可以用这个groupBy任何东西。 对于问题中的用例

Map<String, List<Student>> map = groupBy(studlist, Student::getLocation);

也许你想看看这个Java 8 groupingBy Collector 指南

您可以使用以下内容:

Map<String, List<Student>> groupedStudents = new HashMap<String, List<Student>>();
for (Student student: studlist) {
    String key = student.stud_location;
    if (groupedStudents.get(key) == null) {
        groupedStudents.put(key, new ArrayList<Student>());
    }
    groupedStudents.get(key).add(student);
}

//打印

Set<String> groupedStudentsKeySet = groupedCustomer.keySet();
for (String location: groupedStudentsKeySet) {
   List<Student> stdnts = groupedStudents.get(location);
   for (Student student : stdnts) {
        System.out.println("ID : "+student.stud_id+"\t"+"Name : "+student.stud_name+"\t"+"Location : "+student.stud_location);
    }
}

使用 Comparator 在 Java 中实现 SQL GROUP BY Feature,Comparator 将比较您的列数据,并对其进行排序。 基本上,如果您保留看起来像分组数据的排序数据,例如,如果您有相同的重复列数据,那么排序机制将它们排序,在一侧保留相同的数据,然后查找其他不同数据的数据。 这间接地被视为对相同数据的分组。

public class GroupByFeatureInJava {

    public static void main(String[] args) {
        ProductBean p1 = new ProductBean("P1", 20, new Date());
        ProductBean p2 = new ProductBean("P1", 30, new Date());
        ProductBean p3 = new ProductBean("P2", 20, new Date());
        ProductBean p4 = new ProductBean("P1", 20, new Date());
        ProductBean p5 = new ProductBean("P3", 60, new Date());
        ProductBean p6 = new ProductBean("P1", 20, new Date());

        List<ProductBean> list = new ArrayList<ProductBean>();
        list.add(p1);
        list.add(p2);
        list.add(p3);
        list.add(p4);
        list.add(p5);
        list.add(p6);

        for (Iterator iterator = list.iterator(); iterator.hasNext();) {
            ProductBean bean = (ProductBean) iterator.next();
            System.out.println(bean);
        }
        System.out.println("******** AFTER GROUP BY PRODUCT_ID ******");
        Collections.sort(list, new ProductBean().new CompareByProductID());
        for (Iterator iterator = list.iterator(); iterator.hasNext();) {
            ProductBean bean = (ProductBean) iterator.next();
            System.out.println(bean);
        }

        System.out.println("******** AFTER GROUP BY PRICE ******");
        Collections.sort(list, new ProductBean().new CompareByProductPrice());
        for (Iterator iterator = list.iterator(); iterator.hasNext();) {
            ProductBean bean = (ProductBean) iterator.next();
            System.out.println(bean);
        }
    }
}

class ProductBean {
    String productId;
    int price;
    Date date;

    @Override
    public String toString() {
        return "ProductBean [" + productId + " " + price + " " + date + "]";
    }
    ProductBean() {
    }
    ProductBean(String productId, int price, Date date) {
        this.productId = productId;
        this.price = price;
        this.date = date;
    }
    class CompareByProductID implements Comparator<ProductBean> {
        public int compare(ProductBean p1, ProductBean p2) {
            if (p1.productId.compareTo(p2.productId) > 0) {
                return 1;
            }
            if (p1.productId.compareTo(p2.productId) < 0) {
                return -1;
            }
            // at this point all a.b,c,d are equal... so return "equal"
            return 0;
        }
        @Override
        public boolean equals(Object obj) {
            // TODO Auto-generated method stub
            return super.equals(obj);
        }
    }

    class CompareByProductPrice implements Comparator<ProductBean> {
        @Override
        public int compare(ProductBean p1, ProductBean p2) {
            // this mean the first column is tied in thee two rows
            if (p1.price > p2.price) {
                return 1;
            }
            if (p1.price < p2.price) {
                return -1;
            }
            return 0;
        }
        public boolean equals(Object obj) {
            // TODO Auto-generated method stub
            return super.equals(obj);
        }
    }

    class CompareByCreateDate implements Comparator<ProductBean> {
        @Override
        public int compare(ProductBean p1, ProductBean p2) {
            if (p1.date.after(p2.date)) {
                return 1;
            }
            if (p1.date.before(p2.date)) {
                return -1;
            }
            return 0;
        }
        @Override
        public boolean equals(Object obj) {
            // TODO Auto-generated method stub
            return super.equals(obj);
        }
    }
}

上面的 ProductBean 列表的输出是按照 GROUP BY 条件完成的,如果您看到输入数据,该数据将 ProductBean 列表提供给 Collections.sort(list, object of Comparator for your required column) 这将根据您的比较器实现进行排序您将能够在下面的输出中看到 GROUPED 数据。 希望这可以帮助...

******** BEFORE GROUPING INPUT DATA LOOKS THIS WAY ******
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 30 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P2 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P3 60 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ******** AFTER GROUP BY PRODUCT_ID ******
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 30 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P2 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P3 60 Mon Nov 17 09:31:01 IST 2014]

    ******** AFTER GROUP BY PRICE ******
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P2 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 20 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P1 30 Mon Nov 17 09:31:01 IST 2014]
    ProductBean [P3 60 Mon Nov 17 09:31:01 IST 2014]
public class Test9 {

    static class Student {

        String stud_id;
        String stud_name;
        String stud_location;

        public Student(String stud_id, String stud_name, String stud_location) {
            super();
            this.stud_id = stud_id;
            this.stud_name = stud_name;
            this.stud_location = stud_location;
        }

        public String getStud_id() {
            return stud_id;
        }

        public void setStud_id(String stud_id) {
            this.stud_id = stud_id;
        }

        public String getStud_name() {
            return stud_name;
        }

        public void setStud_name(String stud_name) {
            this.stud_name = stud_name;
        }

        public String getStud_location() {
            return stud_location;
        }

        public void setStud_location(String stud_location) {
            this.stud_location = stud_location;
        }

        @Override
        public String toString() {
            return " [stud_id=" + stud_id + ", stud_name=" + stud_name + "]";
        }

    }

    public static void main(String[] args) {

        List<Student> list = new ArrayList<Student>();
        list.add(new Student("1726", "John Easton", "Lancaster"));
        list.add(new Student("4321", "Max Carrados", "London"));
        list.add(new Student("2234", "Andrew Lewis", "Lancaster"));
        list.add(new Student("5223", "Michael Benson", "Leeds"));
        list.add(new Student("5225", "Sanath Jayasuriya", "Leeds"));
        list.add(new Student("7765", "Samuael Vatican", "California"));
        list.add(new Student("3442", "Mark Farley", "Ladykirk"));
        list.add(new Student("3443", "Alex Stuart", "Ladykirk"));
        list.add(new Student("4321", "Michael Stuart", "California"));

        Map<String, List<Student>> map1  =

                list
                .stream()

            .sorted(Comparator.comparing(Student::getStud_id)
                    .thenComparing(Student::getStud_name)
                    .thenComparing(Student::getStud_location)
                    )

                .collect(Collectors.groupingBy(

                ch -> ch.stud_location

        ));

        System.out.println(map1);

/*
  Output :

{Ladykirk=[ [stud_id=3442, stud_name=Mark Farley], 
 [stud_id=3443, stud_name=Alex Stuart]], 

 Leeds=[ [stud_id=5223, stud_name=Michael Benson],  
 [stud_id=5225, stud_name=Sanath Jayasuriya]],


  London=[ [stud_id=4321, stud_name=Max Carrados]],


   Lancaster=[ [stud_id=1726, stud_name=John Easton],  

   [stud_id=2234, stud_name=Andrew Lewis]], 


   California=[ [stud_id=4321, stud_name=Michael Stuart],  
   [stud_id=7765, stud_name=Samuael Vatican]]}
*/


    }// main
}

你可以这样做:

Map<String, List<Student>> map = new HashMap<String, List<Student>>();
List<Student> studlist = new ArrayList<Student>();
studlist.add(new Student("1726", "John", "New York"));
map.put("New York", studlist);

键将是位置和学生的值列表。 因此,稍后您可以通过使用以下命令来获取一组学生:

studlist = map.get("New York");

你可以使用guavaMultimaps

@Canonical
class Persion {
     String name
     Integer age
}
List<Persion> list = [
   new Persion("qianzi", 100),
   new Persion("qianzi", 99),
   new Persion("zhijia", 99)
]
println Multimaps.index(list, { Persion p -> return p.name })

它打印:

[qianzi:[com.ctcf.message.Persion(qianzi, 100),com.ctcf.message.Persion(qianzi, 88)],zhijia:[com.ctcf.message.Persion(zhijia, 99)]]

Function<Student, List<Object>> compositKey = std ->
                Arrays.asList(std.stud_location());
        studentList.stream().collect(Collectors.groupingBy(compositKey, Collectors.toList()));

如果要为 group by 添加多个对象,只需在compositKey方法中添加对象,以逗号分隔:

Function<Student, List<Object>> compositKey = std ->
                Arrays.asList(std.stud_location(),std.stud_name());
        studentList.stream().collect(Collectors.groupingBy(compositKey, Collectors.toList()));
  @Override
public boolean equals(Object o) {
    if (this == o) return true;
    if (o == null || getClass() != o.getClass()) return false;
    KeyValuePair<?, ?> that = (KeyValuePair<?, ?>) o;
    return Objects.equals(key, that.key) && Objects.equals(value, that.value);
}

@Override
public int hashCode() {
    return Objects.hash(key, value);
}

你可以这样排序:

    Collections.sort(studlist, new Comparator<Student>() {

        @Override
        public int compare(Student o1, Student o2) {
            return o1.getStud_location().compareTo(o2.getStud_location());
        }
    });

假设您在 Student 类上也有位置的吸气剂。

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