前言
java8的Stream 流式操作,用於對集合進行投影、轉換、過濾、排序、去重等,更進一步地說,這些操作能鏈式串聯在一起使用,類似於 SQL 語句,可以大大簡化程式碼。下面我就將平時常用的一些stream操作做一些彙總。
通過 IntStream 構造基本型別的流
//在java8之前,遍歷0-99的基本操作
for(int i = 0;i<100;i++){
System.out.println("i:"+i);
}
//使用IntStream序列遍歷
IntStream.rangeClosed(0,99).forEach(i->{
System.out.println("i:"+i);
});
//使用IntStream並行遍歷
IntStream.rangeClosed(0,99).parallel().forEach(i->{
System.out.println("i:"+i);
});
定義一個學生的結構體,為後續操作做準備
class Student{
private String name;
private int age;
private int score;
private String city;
public Student(String name, int age, int score, String city) {
this.name = name;
this.age = age;
this.score = score;
this.city = city;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public int getAge() {
return age;
}
public void setAge(int age) {
this.age = age;
}
public int getScore() {
return score;
}
public void setScore(int score) {
this.score = score;
}
public String getCity() {
return city;
}
public void setCity(String city) {
this.city = city;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
Student student = (Student) o;
return age == student.age &&
score == student.score &&
Objects.equals(name, student.name) &&
Objects.equals(city, student.city);
}
@Override
public int hashCode() {
return Objects.hash(name, age, score, city);
}
@Override
public String toString() {
return "Student{" +
"name='" + name + '\'' +
", age=" + age +
", score=" + score +
", city='" + city + '\'' +
'}';
}
}
//構造資料
List<Student> students = new ArrayList<>();
students.add(new Student("stu001",18,70,"合肥"));
students.add(new Student("stu001",18,70,"合肥"));
students.add(new Student("stu002",23,80,"鄭州"));
students.add(new Student("stu003",45,90,"鄭州"));
students.add(new Student("stu004",32,73,"合肥"));
students.add(new Student("stu005",66,76,"南京"));
students.add(new Student("stu006",34,79,"杭州"));
students.add(new Student("stu007",28,90,"合肥"));
students.add(new Student("stu008",19,100,"杭州"));
filter
根據特定的條件進行過濾
//filter 實現過濾操作,這邊過濾出年齡大於30的學生
students.stream().filter(s->s.getAge()>30).forEach(System.out::println);
map
元素進行轉化
//map 對流每一個元素進行轉化,將student的age轉化成流
students.stream().map(Student::getAge).forEach(System.out::println);
sort 排序
根據條件進行排序操作
//sort 按年齡排序,倒序
students.stream().sorted(Comparator.comparing(Student::getAge).reversed()).forEach(System.out::println);
distinct 去重
對流元素進行去重操作
//distinct 去重,因為實現了hashcode和equals,名稱為stu001的學生重複了
students.stream().distinct().forEach(System.out::println);
將集合組成一個list
students.stream().map(Student::getAge).collect(Collectors.toList()).forEach(System.out::println);
將集合組成一個set
students.stream().map(Student::getAge).collect(Collectors.toSet()).forEach(System.out::println);
最大值
求出年齡最大的學生
System.out.println(students.stream().max(Comparator.comparingInt(Student::getAge)).get());
最大值
求出年齡最最小的學生
System.out.println(students.stream().min(Comparator.comparingInt(Student::getAge)).get());
join操作
按照逗號進行join,用[]包裹起來
//join操作,姓名join
System.out.println(students.stream().map(Student::getName).collect(Collectors.joining(",","[","]")));
toMap操作
根據指定key,value生成一個map
students.stream().collect(Collectors.toMap(Student::getName,student -> student,(x1,x2)->x2)).entrySet().forEach(System.out::println);