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  • Java8 按照类属性去重

    测试po

    package com.shiwulian.test.po;

    public class Person {

    private String id;
    private String name;
    private Integer age;
    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;
    }
    public Integer getAge() {
    return age;
    }
    public void setAge(Integer age) {
    this.age = age;
    }
    public Person() {
    super();
    // TODO Auto-generated constructor stub
    }
    public Person(String id, String name, Integer age) {
    super();
    this.id = id;
    this.name = name;
    this.age = age;
    }

    @Override
    public String toString() {
    return '['+id+','+name+','+age.toString()+']';
    }

    }

    测试

    package com.shiwulian.test.po;

    import static java.util.Comparator.comparing;
    import static java.util.stream.Collectors.collectingAndThen;
    import static java.util.stream.Collectors.toCollection;

    import java.util.ArrayList;
    import java.util.HashSet;
    import java.util.List;
    import java.util.Map;
    import java.util.Set;
    import java.util.TreeSet;
    import java.util.concurrent.ConcurrentHashMap;
    import java.util.function.Function;
    import java.util.function.Predicate;
    import java.util.stream.Collectors;

    public class PersonTest {

    public static void main(String[] args) {
    long beginTime = 0;
    long endTime = 0;
    long costTime = 0;
    Person p1 = new Person("1", "jack",15);
    Person p2 = new Person("2", "tom",15);
    Person p3 = new Person("3", "lala",16);
    Person p4 = new Person("4", "lala",16);
    Person p5 = new Person("5", "rose",14);

    List<Person> persons = new ArrayList<>();
    for (int i = 0; i < 1000000; i++) {
    int yushu = i%5;
    if(yushu == 1){
    persons.add(p1);
    }
    if(yushu == 2){
    persons.add(p2);
    }
    if(yushu == 3){
    persons.add(p3);
    }
    if(yushu == 4){
    persons.add(p4);
    }
    if(yushu == 0){
    persons.add(p5);
    }

    }
    List<Person> personUnique = null;
    //function1
    beginTime = System.currentTimeMillis();
    personUnique = removeDupliType1(persons); 
    endTime = System.currentTimeMillis();
    costTime = endTime - beginTime;
    System.out.println("function1 消耗时间:"+costTime);

    //function2
    beginTime = System.currentTimeMillis();
    personUnique = removeDupliType2(persons); 
    endTime = System.currentTimeMillis();
    costTime = endTime - beginTime;
    System.out.println("function2 消耗时间:"+costTime);

    //function3
    beginTime = System.currentTimeMillis();
    personUnique = removeDupliType3(persons); 
    endTime = System.currentTimeMillis();
    costTime = endTime - beginTime;
    System.out.println("function3 消耗时间:"+costTime);

    //function4
    beginTime = System.currentTimeMillis();
    personUnique = removeDupliType4(persons); 
    endTime = System.currentTimeMillis();
    costTime = endTime - beginTime;
    System.out.println("function4 消耗时间:"+costTime);

    }

    //function1
    public static List<Person> removeDupliType1(List<Person> persons) {
    Set<Person> personUnique = new TreeSet<>((o1, o2) -> o1.getName().compareTo(o2.getName()));
    personUnique.addAll(persons);
    return new ArrayList<>(personUnique);
    }

    //function2
    public static List<Person> removeDupliType2(List<Person> persons) {
    Set<String> nameSet = new HashSet<>();
    List<Person> personUnique = persons.stream().filter(p -> nameSet.add(p.getName())).collect(Collectors.toList());
    return personUnique;
    }

    //function3
    public static List<Person> removeDupliType3(List<Person> persons) {

    List<Person> personUnique = persons.stream().collect(collectingAndThen(
    toCollection(() -> new TreeSet<>(comparing(Person::getName))), ArrayList::new)
    ); 
    return personUnique;
    }

    //function4
    public static List<Person> removeDupliType4(List<Person> persons) {
    List<Person> personUnique = persons.stream().filter(distinctByKey(p -> ((Person) p).getId())).collect(Collectors.toList());
    return personUnique;
    }
    public static <T> Predicate<T> distinctByKey(Function<? super T, Object> keyExtractor) {
    Map<Object, Boolean> map = new ConcurrentHashMap<>();
    return t -> map.putIfAbsent(keyExtractor.apply(t), Boolean.TRUE) == null;
    }

    }

    1000000条数据测试结果

    1000条数据测试

     

    测试总结:数据量较大的情况下(>1000000) function2 较快

    数据量较小的情况下(<1000) function4较快 但是区别不大

    以上凭借网上小伙伴的智慧,自己加以总结,希望大家批评指正。

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  • 原文地址:https://www.cnblogs.com/KaKa-King/p/8966832.html
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