Lambda是什么
Lambda表达式是一种匿名函数,它可以在代码中被声明和传递,而不需要命名。Lambda表达式通常用于编写简洁的、非常具有可读性的代码,尤其是在函数式编程语言中。
一个Lambda表达式由参数列表、箭头符号和函数体组成。例如,(x, y) -> x + y
是一个接受两个参数的Lambda表达式,将它们相加并返回结果。
Lambda表达式可以被传递给其他函数作为参数,也可以被存储在变量中,以便之后使用。Lambda表达式通常与Java 8中的Stream API等函数式编程工具一起使用,以实现更具表现力的代码。
什么是函数式接口
函数式接口是指只有一个抽象方法的接口,它们通常被用作 Lambda 表达式的类型。Java 8 引入了函数式接口概念,并添加了 @FunctionalInterface
注解来标记一个接口为函数式接口,以便编译器检查该接口是否符合函数式接口的定义。函数式接口可以被用于创建 Lambda 表达式和方法引用等功能,并且在 Java 标准库中也提供了许多常用的函数式接口,如 Consumer
、Supplier
、Function
等。
Java8标准库中的函数式接口
在JDK中,常见的函数式接口分为四类,分别是
- 消费型函数式接口 Consumer 常用于遍历 void accpet(T t)
- 供给型函数式接口 Supplier 用于产生数据 T get()
- 断言型函数式接口 Predicate 用于判断 boolean test(T t)
- 函数型函数式接口 Function<T,R> 用于逻辑处理 R apply(T t)
Consumer接口
Consumer是一个消费型的接口,接收一个输入参数并且无返回的操作,即拿到某个数据时,进行消费,对该数据进行后续的一些操作。
@FunctionalInterface
public interface Consumer<T> {/*** Performs this operation on the given argument.** @param t the input argument*/void accept(T t);/*** Returns a composed {@code Consumer} that performs, in sequence, this* operation followed by the {@code after} operation. If performing either* operation throws an exception, it is relayed to the caller of the* composed operation. If performing this operation throws an exception,* the {@code after} operation will not be performed.** @param after the operation to perform after this operation* @return a composed {@code Consumer} that performs in sequence this* operation followed by the {@code after} operation* @throws NullPointerException if {@code after} is null*/default Consumer<T> andThen(Consumer<? super T> after) {Objects.requireNonNull(after);return (T t) -> { accept(t); after.accept(t); };}}
java.util.function.Consumer<T>
接口是消费一个数据,其数据类型由泛型决定。Consumer接口中包含抽象方法void accept(T t)
,意为消费一个指定泛型的数据。- Consumer接口是一个消费型接口,泛型执行什么类型,就可以使用accept方法消费什么类型的数据,至于具体怎么消费(使用),需要自定义实现等。
举个例子: 将手机号脱敏输出
public static void reverseStr(String sourceStr, Consumer<String> consumer) {consumer.accept(sourceStr);
}public static void main(String[] args) {reverseStr("18828989098", str -> {String regx = "(\\d{3})\\d{4}(\\d{4})";str = str.replaceAll(regx, "$1****$2");System.out.println("转换后的结果:" + str);});
}
Supplier接口
Supplier是一个供给型接口,其中的get方法用于返回一个值;Supplier也有许多的变种,例如IntSupplier
、LongSupplier
与BooleanSupplier
等。
@FunctionalInterface
public interface Supplier<T> {/*** Gets a result.** @return a result*/T get();
}
java.util.function.Supplier<T>
接口仅包含一个无参的方法:T get()
。用来获取一个泛型参数指定类型的对象数据。Supplier<T>
接口被称之为生产型接口,指定接口的泛型是什么类型,那么接口中的get方法就会生产什么类型的数据。
适用场景: 新建对象
举个例子: 新建一个用户对象
public static void main(String[] args) {Supplier<User> supplier = User::new;System.out.println(supplier.get().getUsername());
}@Data
public class User {private String id = "123456";private String username = "泽济天下";
}
Predicate接口
Predicate接口对某种数据类型的数据进行判断,返回一个布尔值。
@FunctionalInterface
public interface Predicate<T> {/*** Evaluates this predicate on the given argument.** @param t the input argument* @return {@code true} if the input argument matches the predicate,* otherwise {@code false}*/boolean test(T t);/*** Returns a composed predicate that represents a short-circuiting logical* AND of this predicate and another. When evaluating the composed* predicate, if this predicate is {@code false}, then the {@code other}* predicate is not evaluated.** <p>Any exceptions thrown during evaluation of either predicate are relayed* to the caller; if evaluation of this predicate throws an exception, the* {@code other} predicate will not be evaluated.** @param other a predicate that will be logically-ANDed with this* predicate* @return a composed predicate that represents the short-circuiting logical* AND of this predicate and the {@code other} predicate* @throws NullPointerException if other is null*/default Predicate<T> and(Predicate<? super T> other) {Objects.requireNonNull(other);return (t) -> test(t) && other.test(t);}/*** Returns a predicate that represents the logical negation of this* predicate.** @return a predicate that represents the logical negation of this* predicate*/default Predicate<T> negate() {return (t) -> !test(t);}/*** Returns a composed predicate that represents a short-circuiting logical* OR of this predicate and another. When evaluating the composed* predicate, if this predicate is {@code true}, then the {@code other}* predicate is not evaluated.** <p>Any exceptions thrown during evaluation of either predicate are relayed* to the caller; if evaluation of this predicate throws an exception, the* {@code other} predicate will not be evaluated.** @param other a predicate that will be logically-ORed with this* predicate* @return a composed predicate that represents the short-circuiting logical* OR of this predicate and the {@code other} predicate* @throws NullPointerException if other is null*/default Predicate<T> or(Predicate<? super T> other) {Objects.requireNonNull(other);return (t) -> test(t) || other.test(t);}/*** Returns a predicate that tests if two arguments are equal according* to {@link Objects#equals(Object, Object)}.** @param <T> the type of arguments to the predicate* @param targetRef the object reference with which to compare for equality,* which may be {@code null}* @return a predicate that tests if two arguments are equal according* to {@link Objects#equals(Object, Object)}*/static <T> Predicate<T> isEqual(Object targetRef) {return (null == targetRef)? Objects::isNull: object -> targetRef.equals(object);}
}
- java.util.function.Predicate接口 作用:对某种数据类型的数据进行判断,结果返回一个boolean值。
- Predicate接口中包含一个抽象方法:boolean test(T t):用来对指定数据类型数据进行判断的方法;结果符合条件返回true,否则返回false。
举个例子: 判断字符串长度是否为11
public static void main(String[] args) {Predicate<String> predicate = str -> str.length() == 11;boolean test = predicate.test("123");System.out.println("test = " + test);
}
Function接口
Function是一个功能型的接口,用于将一种类型的数据转化为另外一种类型的数据。比如我们常见的list转map就用的是Fuction接口。
@FunctionalInterface
public interface Function<T, R> {/*** Applies this function to the given argument.** @param t the function argument* @return the function result*/R apply(T t);/*** Returns a composed function that first applies the {@code before}* function to its input, and then applies this function to the result.* If evaluation of either function throws an exception, it is relayed to* the caller of the composed function.** @param <V> the type of input to the {@code before} function, and to the* composed function* @param before the function to apply before this function is applied* @return a composed function that first applies the {@code before}* function and then applies this function* @throws NullPointerException if before is null** @see #andThen(Function)*/default <V> Function<V, R> compose(Function<? super V, ? extends T> before) {Objects.requireNonNull(before);return (V v) -> apply(before.apply(v));}/*** Returns a composed function that first applies this function to* its input, and then applies the {@code after} function to the result.* If evaluation of either function throws an exception, it is relayed to* the caller of the composed function.** @param <V> the type of output of the {@code after} function, and of the* composed function* @param after the function to apply after this function is applied* @return a composed function that first applies this function and then* applies the {@code after} function* @throws NullPointerException if after is null** @see #compose(Function)*/default <V> Function<T, V> andThen(Function<? super R, ? extends V> after) {Objects.requireNonNull(after);return (T t) -> after.apply(apply(t));}/*** Returns a function that always returns its input argument.** @param <T> the type of the input and output objects to the function* @return a function that always returns its input argument*/static <T> Function<T, T> identity() {return t -> t;}
}
举个例子: 手机号脱敏后返回
public static void main(String[] args) {Function<String, String> func = str -> {if(str.length() == 11) {String regx = "(\\d{3})\\d{4}(\\d{4})";return str.replaceAll(regx, "$1****$2");};return "不符合规则";};String apply = func.apply("1882898090222");System.out.println("转换后的数据 = " + apply);
}
除了上面提到的四个函数式接口外,标准库还提供了一系列Bi开头的同类接口,用于接受或者返回多个参数。
BiConsumer接口
BiConsumer<T, U>接口是一个函数接口,该接口声明了accept方法,并无返回值,该函数接口主要用来声明一些预期操作。
其中还有一个andThen方法,该方法接受一个BiConsumer,返回一个组合的BiConsumer,并且按照顺序执行操作。如果执行任一操作抛出异常,则将其传递给组合操作的调用者。 如果执行此操作抛出异常,将不执行后操作(after)。
public class MainTest {public static void main(String[] args) {System.out.println("------BiPredicate------");BiPredicate<String,String> biPredicate = (x,y)-> x.equals(y);BiPredicate<String,String> biPredicate1 = (x,y)-> (x+"2").equals(y);System.out.println("False>>>>>:"+biPredicate.test("a","b"));System.out.println("True>>>>>:"+biPredicate.test("a","a"));//biPredicate和biPredicate1是否同时满足System.out.println("and >>>>>:"+biPredicate.and(biPredicate1).test("xxx","xxx2"));//negate表示非运算,类似"!"System.out.println("negate >>>>>:"+biPredicate.negate().test("a","a"));System.out.println("negate >>>>>:"+biPredicate.negate().test("a","c"));//or或者System.out.println("or >>>>>:"+biPredicate.or(biPredicate1).test("xxx","xxx2"));System.out.println("or >>>>>:"+biPredicate.or(biPredicate1).test("xxx","xx"));System.out.println("------BiPredicate------");}
}
输出内容为:
------BiConsumer------
JACK--------------JAVA8
biConsumer2--------------JAVA8
biConsumer2>>>>>>>>JAVA8
------BiConsumer------
BiFunction接口
BiFunction<T, U, R>接口是一个函数接口,声明了apply方法,有返回值R.其中包含一个default的andThen(Function<? super R, ? extends V> after),接受一个Function方法,返回一个结果。
public static void main(String[] args) {System.out.println("------BiFunction------");BiFunction<Integer,Integer,Integer> = (x, y)-> {return x+y;};int result = biFunction.apply(1,2);System.out.println("result:"+result);Function<Integer,Integer> function = (x)->{return (x*5);};System.out.println("andThen:"+biFunction.andThen(function).apply(8,9));System.out.println("------BiFunction------");
}
输出结果:
------BiFunction------
result:3
andThen:85
------BiFunction------
上面的result:3是很容易理解的,就是1+2,也就是执行了biFunction,下面输出的85,则是先执行了biFunction.apply(8,9),然后在执行的自定义的function函数。最后计算公式也就是(8+9*5=85。
BinaryOperator接口
代表了一个作用于于两个同类型操作符的操作,并且返回了操作符同类型的结果。他继承了BiFunction,因此可以使用BiFunction中的方法。
public class MainTest {public static void main(String[] args) {System.out.println("------BinaryOperator------");BinaryOperator<Integer> binaryOperator = (x,y)->x*y;System.out.println("BinaryOperator:"+binaryOperator.apply(3,8));Function<Integer,Integer> function1 = (x)->x*8;System.out.println("BinaryOperator andThen:" + binaryOperator.andThen(function1).apply(8,10));BinaryOperator<Integer> bi = BinaryOperator.maxBy(Comparator.naturalOrder());System.out.println("BinaryOperator maxBy:" + (bi.apply(100,99)));System.out.println("------BinaryOperator------");}
}
输出结果:
------BinaryOperator------
BinaryOperator:24
BinaryOperator andThen:640
BinaryOperator maxBy:100
------BinaryOperator------
BiPredicate接口
代表了一个两个参数的boolean值方法。该接口是一个逻辑运算的函数接口;里面包含了比较方法boolean test(T t, U u),逻辑与方法and(BiPredicate<? super T, ? super U> other),逻辑非方法negate(),以及逻辑或方法or(BiPredicate<? super T, ? super U> other)。
test(T t, U u) :判断参数是否满足条件。
and(BiPredicate<? super T, ? super U> other):同时满足。
negate():非运算,类似“!”.
or(BiPredicate<? super T, ? super U> other):或运算。
public class MainTest {public static void main(String[] args) {System.out.println("------BiPredicate------");BiPredicate<String,String> biPredicate = (x,y)-> x.equals(y);BiPredicate<String,String> biPredicate1 = (x,y)-> (x+"2").equals(y);System.out.println("False>>>>>:"+biPredicate.test("a","b"));System.out.println("True>>>>>:"+biPredicate.test("a","a"));//biPredicate和biPredicate1是否同时满足System.out.println("and >>>>>:"+biPredicate.and(biPredicate1).test("xxx","xxx2"));//negate表示非运算,类似"!"System.out.println("negate >>>>>:"+biPredicate.negate().test("a","a"));System.out.println("negate >>>>>:"+biPredicate.negate().test("a","c"));//or或者System.out.println("or >>>>>:"+biPredicate.or(biPredicate1).test("xxx","xxx2"));System.out.println("or >>>>>:"+biPredicate.or(biPredicate1).test("xxx","xx"));System.out.println("------BiPredicate------");}
}
输出结果:
------BiPredicate------
False>>>>>:false
True>>>>>:true
and >>>>>:false
negate >>>>>:false
negate >>>>>:true
or >>>>>:true
or >>>>>:false
------BiPredicate------
BooleanSupplier接口
代表了boolean值结果的提供方,用于接收Lambda表达式所返回的boolean值结果。
public class MainTest {public static void main(String[] args) {System.out.println("------BooleanSupplier------");BooleanSupplier booleanSupplier = ()->true;System.out.println(" booleanSupplier :" + booleanSupplier.getAsBoolean());int x=2;int y=3;BooleanSupplier booleanSupplier1 = ()->x>y;System.out.println(" booleanSupplier1 :" + booleanSupplier1.getAsBoolean());System.out.println("------BooleanSupplier------");}
}
输出结果:
------BooleanSupplier------
booleanSupplier :true
booleanSupplier1 :false
------BooleanSupplier------
Java8中的Stream流以及流式编程
Stream
将要处理的元素集合看作一种流,在流的过程中,借助Stream API
对流中的元素进行操作,比如:筛选、排序、聚合等。
对于Java语言,我们最常用的面向对象编程都属于命令式编程。在Java8的时候,引入了函数式编程。
Java8前,对集合进行处理、排序、对集合多次操作、对集合进行处理后,返回一些符合要求的特定的集合等,都比较麻烦。我们通常需要对集合进行遍历处理,写许多冗余代码。所以Java8引入了基于流式编程的Stream对集合进行一系列的操作。
Stream不是集合元素,也不是数据结构,它相当于一个高级版本的Iterator,不可以重复遍历里面的数据,像水一样,流过了就一去不复返。它和普通的Iterator不同的是,它可以并行遍历,普通的Iterator只能是串行,在一个线程中执行。
Stream它并不是一个容器,它只是对容器的功能进行了增强,添加了很多便利的操作,例如查找、过滤、分组、排序等一系列的操作。并且有串行、并行两种执行模式,并行模式充分的利用了多核处理器的优势,使用fork/join框架进行了任务拆分,同时提高了执行速度。简而言之,Stream就是提供了一种高效且易于使用的处理数据的方式。
串行流操作在一个线程中依次完成;并行流在多个线程中完成。
常见场景
创建Stream
创建Stream主要有以下几种方法;
- 通过
java.util.Collection.stream()
方法用集合创建流
ArrayList<String> arrayList = CollUtil.toList("aaa", "bbb", "ccc");
Stream<String> stream = arrayList.stream(); // 创建一个顺序流
Stream<String> stringStream = arrayList.parallelStream(); // 创建一个并行流
- 使用
java.util.Arrays.stream(T[] array)
方法用数组创建流
int[] array = {1,2,3,7,9,13};
IntStream stream = Arrays.stream(array);
- 使用
Stream
的静态方法创建:of()、iterate()、generate()
Stream<Integer> stream = Stream.of(1, 2, 3, 4, 5, 6);Stream<Integer> stream2 = Stream.iterate(0, (x) -> x + 3).limit(4);
stream2.forEach(System.out::println);Stream<Double> stream3 = Stream.generate(Math::random).limit(3);
stream3.forEach(System.out::println);
collect(Collectors.toList())
collect(Collectors.toList())是将流转换为List
List<Student> studentList = Stream.of(new Student("20220210", "贾玲", 12, "陕西省西安市"),new Student("20220211", "李四", 13, "江苏省南京市"),new Student("20220212", "李红", 12, "河北省石家庄市")).collect(Collectors.toList());
System.out.println("studentList = " + studentList);
结果:
studentList = [Student(id=20220210, name=贾玲, age=12, address=江苏省陕西省西安市市), Student(id=20220211, name=李四, age=13, address=江苏省南京市), Student(id=20220212, name=李红, age=12, address=河北省石家庄市)]
除此之外,还有.collect(Collectors.toSet())
、.collect(Collectors.toMap(Student::getId, Function.identity()))
等。
Set<Student> studentSet = Stream.of(new Student("20220210", "贾玲", 12, "陕西省西安市"),new Student("20220211", "李四", 13, "江苏省南京市"),new Student("20220212", "李红", 12, "河北省石家庄市")).collect(Collectors.toSet());
System.out.println("studentSet = " + studentSet);
结果:
studentSet = [Student(id=20220210, name=贾玲, age=12, address=陕西省西安市), Student(id=20220211, name=李四, age=13, address=江苏省南京市), Student(id=20220212, name=李红, age=12, address=河北省石家庄市)]
Map<String, Student> studentMap = Stream.of(new Student("20220210", "贾玲", 12, "陕西省西安市"),new Student("20220211", "李四", 13, "江苏省南京市"),new Student("20220212", "李红", 12, "河北省石家庄市")).collect(Collectors.toMap(Student::getId, Function.identity()));
System.out.println("studentMap = " + studentMap);
结果:
studentMap = {20220210=Student(id=20220210, name=贾玲, age=12, address=陕西省西安市), 20220211=Student(id=20220211, name=李四, age=13, address=江苏省南京市), 20220212=Student(id=20220212, name=贾玲, age=12, address=河北省石家庄市)}
以下是使用的测试实体类Student:
Student类
@Data
@ToString
@AllArgsConstructor
public class Student implements Serializable {private String id;private String name;private int age;private String address;
}
List<Student> studentArrayList = new ArrayList<>();
studentArrayList.add(new Student("20220210", "贾玲", 12, "陕西省西安市"));
studentArrayList.add(new Student("20220211", "李四", 13, "江苏省南京市"));
studentArrayList.add(new Student("20220212", "李红", 12, "河北省石家庄市"));
筛选filter
示例:筛选学生年龄小于13岁的学生数据
List<Student> studentList = studentArrayList.stream().filter(item -> item.getAge() < 13).collect(Collectors.toList());
System.out.println("studentList = " + studentList);
输出:
studentList = [Student(id=20220210, name=贾玲, age=12, address=江苏省苏州市), Student(id=20220212, name=李红, age=12, address=安徽省合肥市)]
转换map
示例:输出所有学生的姓名信息
List<String> nameList = studentArrayList.stream().map(item->item.getName()).collect(Collectors.toList());
System.out.println("nameList = " + nameList);
输出:
nameList = [贾玲, 李四, 李红]
最大值max、最小值min
示例:输出所有学生信息中年龄最大以及年龄最小的学生信息
Optional<Student> ageMax = studentArrayList.stream().max(Comparator.comparing(item -> item.getAge()));
// 使用isPresent方法判断是否有值,否则遇到null是直接get()操作引发异常
if (ageMax.isPresent()) {Student student = ageMax.get();System.out.println("student = " + student);
}
Optional<Student> ageMin = studentArrayList.stream().min(Comparator.comparing(item -> item.getAge()));
// 使用isPresent方法判断是否有值,否则遇到null是直接get()操作引发异常
if (ageMax.isPresent()) {Student student = ageMin.get();System.out.println("student = " + student);
}
输出:
student = Student(id=20220211, name=李四, age=13, address=江苏省南京市) student = Student(id=20220210, name=贾玲, age=12, address=江苏省苏州市)
统计count
示例:统计所有学生中年龄小于13岁的人数
long count = studentArrayList.stream().filter(item -> item.getAge() < 13).count();
System.out.println("count = " + count);
输出:
count = 2
接合joining
joining
可以将stream中的元素用特定的连接符(没有的话,则直接连接)连接成一个字符串。
示例:将所有学生的姓名输出,并用,作分隔符
String collect = studentArrayList.stream().map(item -> item.getName()).collect(Collectors.joining(","));
System.out.println("collect = " + collect);
输出:
collect = 贾玲,李四,李红
分组groupingBy
示例:将所有学生信息按性别分组
Map<Integer, List<Student>> collect = studentArrayList.stream().collect(Collectors.groupingBy(Student::getAge));
System.out.println("collect = " + collect);
输出:
collect = {12=[Student(id=20220210, name=贾玲, age=12, address=江苏省苏州市), Student(id=20220212, name=李红, age=12, address=安徽省合肥市)], 13=[Student(id=20220211, name=李四, age=13, address=江苏省南京市)]}
流的合并concat、去重distinct、限制limit、跳过skip
示例:将两个stream进行合并,并作去重处理
Stream<String> stream1 = CollUtil.toList("aa", "bb", "cc", "dd").stream();
Stream<String> stream2 = CollUtil.toList("bb", "cc", "ee", "ff").stream();
List<String> stringList = Stream.concat(stream1, stream2).distinct().collect(Collectors.toList());
System.out.println("stringList = " + stringList);
输出:
stringList = [aa, bb, cc, dd, ee, ff]
示例:从1开始,输出前10个奇数值
List<Integer> collect = Stream.iterate(1, x -> x + 2).limit(10).collect(Collectors.toList());
System.out.println("collect = " + collect);
输出:
collect = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19]
示例:从1开始,跳过前2个元素,输出前6个奇数元素
List<Integer> collect = Stream.iterate(1, x -> x + 2).skip(2).limit(6).collect(Collectors.toList());
System.out.println("collect = " + collect);
输出:
collect = [5, 7, 9, 11, 13, 15]
总结
本文主要总结了Java8提供的函数式接口以及流式编程常见场景。
针对以上内容有任何疑问或者建议欢迎留言~
创作不易,欢迎一键三连~~~