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java8根据某一属性过滤去重的实例

java8根据某一属性过滤去重

最近小编刚接触到java8特性,在不知道有java8特性的时候,一个for循环套一个for循环,自从接触大java8,为自己省了很多事,节省了很多代码量.

根据list某一属性去重

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//根据id去重

examRoomModelLists = examRoomModelLists.stream().collect(Collectors.collectingAndThen(Collectors.toCollection(

                // 利用 TreeSet 的排序去重构造函数来达到去重元素的目的

                // 根据firstName去重

                () -> new TreeSet<>(Comparator测试数据paring(ExamRoomModel::getId))), ArrayList:: new ));

过滤StudentExamState=0的数据

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em.setNoLoginExamineeCount((examinee.stream().map(ExamineeEntity::getStudentExamState).filter(x -> 

x == 0 ).collect(Collectors.toList())).size());

            }

过滤ExamRoomStudentCount=0的数据

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  List<ExamRoomModel> filterList = examRoomModelLists.stream().filter(ExamRoomModel -> 

  !Objects.equals(ExamRoomModel.getExamRoomStudentCount(), 0 )).collect(Collectors.toList());

是不是很方便,换成以前过滤去重不知道要写多少横代码,现在一行解决. 

Java8 stream根据对象字段去重

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public class Java8StreamTest {

     public static class Book{

         private String id;

         private String name;

         public Book(String id, String name) {

             this .id = id;

             this .name = name;

         }

         public String getId() {

             return id;

         }

         public void setId(String id) {

             this .id = id;

         }

         public String getName() {

             return name;

         }

         public void setName(String name) {

             this .name = name;

         }

         @Override

         public String toString() {

             return "Book{" +

                 "id='" + id + '\ '' +

                 ", name='" + name + '\ '' +

                 '}' ;

         }

     }

     @Test

     public void testUnique(){

         List<Book> books = Lists.newArrayList( new Book( "1" , "1" ), new Book( "2" , "2" ), new Book( "3" , "3" ), new Book( "2" , "2" ));

         //使用TreeSet去重

         List<Book> unique1 = books.stream().collect(

                 collectingAndThen(toCollection(() -> new TreeSet<>(Comparator测试数据paring(o -> o.getId()))),

                         ArrayList:: new ));

         System.out.println(unique1);

         //使用map去重

         List<Book> unique2 = books.stream()

                 .filter(distinctByKey(o -> o.getId()))

                 .collect(Collectors.toList());

         System.out.println(unique2);

     }

     public static <T> Predicate<T> distinctByKey(Function<? super T, Object> keyExtractor) {

         Map<Object, Boolean> seen = new ConcurrentHashMap<>();

         System.out.println( "这个函数将应用到每一个item" );

         return t -> seen.putIfAbsent(keyExtractor.apply(t), Boolean.TRUE) == null ;

     }

}

stream对list中的对象进行去重

首先我们有一个对象属性如下

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@Data

public class Person {

    private String id;

    private String name;

    private String sex;

}

我们根据属性name来去重,去重代码如下

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List<Person> persons = new ArrayList();

//赋值初始化过程省略

List<Person> uniqueByName = persons.stream().collect(

            Collectors.collectingAndThen(

                    Collectors.toCollection(() -> new TreeSet<>(Comparator测试数据paring(Person::getName))), ArrayList:: new )

);

根据name,sex两个属性去重

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List<Person> persons = new ArrayList();

//赋值初始化过程省略

List<Person> uniqueByNameAndSex = persons.stream().collect(

            Collectors. collectingAndThen(

                    Collectors.toCollection(() -> new TreeSet<>(Comparator测试数据paring(o -> o.getName() + ";" + o.getSex()))), ArrayList:: new )

);

以上为个人经验,希望能给大家一个参考,也希望大家多多支持。

原文链接:https://blog.csdn.net/yyx3214/article/details/85949622

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