Python 官方文档：入门教程 => 点击学习
一、基础代码准备 建立一个实体类，该实体类有五个属性。下面的代码使用了lombok的注解Data、AllArgsConstructor，这样我们就不用写get、set方法和全参构造
建立一个实体类，该实体类有五个属性。下面的代码使用了lombok的注解Data、AllArgsConstructor，这样我们就不用写get、set方法和全参构造函数了。lombok会帮助我们在编译期生成这些模式化的代码。
@Data
@AllArgsConstructor
public class Employee {
private Integer id;
private Integer age; //年龄
private String gender; //性别
private String firstName;
private String lastName;
}写一个测试类，这个测试类的内容也很简单，新建十个Employee 对象
public class StreamFilterPredicate {
public static void main(String[] args){
Employee e1 = new Employee(1,23,"M","Rick","Beethovan");
Employee e2 = new Employee(2,13,"F","Martina","HenGIS");
Employee e3 = new Employee(3,43,"M","Ricky","Martin");
Employee e4 = new Employee(4,26,"M","Jon","Lowman");
Employee e5 = new Employee(5,19,"F","Cristine","Maria");
Employee e6 = new Employee(6,15,"M","David","Feezor");
Employee e7 = new Employee(7,68,"F","Melissa","Roy");
Employee e8 = new Employee(8,79,"M","Alex","Gussin");
Employee e9 = new Employee(9,15,"F","Neetu","Singh");
Employee e10 = new Employee(10,45,"M","Naveen","Jain");
List<Employee> employees = Arrays.asList(e1, e2, e3, e4, e5, e6, e7, e8, e9, e10);
List<Employee> filtered = employees.stream()
.filter(e -> e.getAge() > 70 && e.getGender().equals("M"))
.collect(Collectors.toList());
System.out.println(filtered);
}
}需要注意的是上面的filter传入了lambda表达式(之前的章节我们已经讲过了)，表达过滤年龄大于70并且男性的Employee员工。输出如下：
[Employee(id=8, age=79, gender=M, firstName=Alex, lastName=Gussin)]下面要说我们的重点了，通过之前的章节的讲解，我们已经知道lambda表达式表达的是一个匿名接口函数的实现。那具体到Stream.filter()中，它表达的是什么呢？看下图：可以看出它表达的是一个Predicate接口，在英语中这个单词的意思是：谓词。
WHERE 和 AND 限定了主语employee是什么，那么WHERE和AND语句所代表的逻辑就是谓词逻辑
SELECT *
FROM employee
WHERE age > 70
AND gender = 'M'通常情况下，filter函数中lambda表达式为一次性使用的谓词逻辑。如果我们的谓词逻辑需要被多处、多场景、多代码中使用，通常将它抽取出来单独定义到它所限定的主语实体中。 比如：将下面的谓词逻辑定义在Employee实体class中。
public static Predicate<Employee> ageGreaterThan70 = x -> x.getAge() >70;
public static Predicate<Employee> genderM = x -> x.getGender().equals("M");List<Employee> filtered = employees.stream()
.filter(Employee.ageGreaterThan70.and(Employee.genderM))
.collect(Collectors.toList());输出如下：
[Employee(id=8, age=79, gender=M, firstName=Alex, lastName=Gussin)]List<Employee> filtered = employees.stream()
.filter(Employee.ageGreaterThan70.or(Employee.genderM))
.collect(Collectors.toList());输出如下：实际上就是年龄大于70的和所有的男性（由于79的那位也是男性，所以就是所有的男性）
[Employee(id=1, age=23, gender=M, firstName=Rick, lastName=Beethovan), Employee(id=3, age=43, gender=M, firstName=Ricky, lastName=Martin), Employee(id=4, age=26, gender=M, firstName=Jon, lastName=Lowman), Employee(id=6, age=15, gender=M, firstName=David, lastName=Feezor), Employee(id=8, age=79, gender=M, firstName=Alex, lastName=Gussin), Employee(id=10, age=45, gender=M, firstName=Naveen, lastName=Jain)]
List<Employee> filtered = employees.stream()
.filter(Employee.ageGreaterThan70.or(Employee.genderM).negate())
.collect(Collectors.toList());输出如下：把上一小节代码的结果取反，实际上就是所有的女性
[Employee(id=2, age=13, gender=F, firstName=Martina, lastName=Hengis), Employee(id=5, age=19, gender=F, firstName=Cristine, lastName=Maria), Employee(id=7, age=68, gender=F, firstName=Melissa, lastName=Roy), Employee(id=9, age=15, gender=F, firstName=Neetu, lastName=Singh)]
以上就是Java基础理论Stream的Filter与谓词逻辑的详细内容，更多关于java Stream的Filter与谓词逻辑的资料请关注编程网其它相关文章！
--结束END--
本文标题: java基础理论Stream的Filter与谓词逻辑
本文链接: https://lsjlt.com/news/142660.html(转载时请注明来源链接)
有问题或投稿请发送至: 邮箱/279061341@qq.com QQ/279061341
2024-03-01
2024-03-01
2024-03-01
2024-02-29
2024-02-29
2024-02-29
2024-02-29
2024-02-29
2024-02-29
2024-02-29
回答
回答
回答
回答
回答
回答
回答
回答
回答
回答
官方手机版
微信公众号
商务合作
0