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Collectors
Collectors 类 API
1. public static <T, C extends Collection<T>> Collector<T, ?, C> toCollection(Supplier<C> collectionFactory);
2. public static <T> Collector<T, ?, List<T>> toList();
3. public static <T> Collector<T, ?, Set<T>> toSet();
4. public static <T, K, U> Collector<T, ?, Map<K,U>> toMap(Function<? super T, ? extends K> keyMapper,
Function<? super T, ? extends U> valueMapper) ;
5. public static <T, K, U> Collector<T, ?, Map<K,U>> toMap(
Function<? super T, ? extends K> keyMapper,
Function<? super T, ? extends U> valueMapper,
BinaryOperator<U> mergeFunction);
6. public static <T, K, U, M extends Map<K, U>> Collector<T, ?, M> toMap(
Function<? super T, ? extends K> keyMapper,
Function<? super T, ? extends U> valueMapper,
BinaryOperator<U> mergeFunction,
Supplier<M> mapSupplier);
7. public static <T, K> Collector<T, ?, Map<K, List<T>>>
groupingBy(Function<? super T, ? extends K> classifier) ;
8. public static <T, K, A, D>
Collector<T, ?, Map<K, D>> groupingBy(Function<? super T, ? extends K> classifier,
Collector<? super T, A, D> downstream) ;
9. public static <T, K, D, A, M extends Map<K, D>>
Collector<T, ?, M> groupingBy(Function<? super T, ? extends K> classifier,
Supplier<M> mapFactory,
Collector<? super T, A, D> downstream);
10. public static Collector<CharSequence, ?, String> joining();
11. public static Collector<CharSequence, ?, String> joining(CharSequence delimiter);
12. public static Collector<CharSequence, ?, String> joining(CharSequence delimiter,
CharSequence prefix,
CharSequence suffix) ;
13. public static <T, U, A, R>
Collector<T, ?, R> mapping(Function<? super T, ? extends U> mapper,
Collector<? super U, A, R> downstream)
@Getter
@Setter
@ToString
@Builder
public class Student {
private Long id;
private String name;
private Integer age;
private String address;
}
toCollection
办法
Collectors 类给了 toList()
和toSet()
办法, 默认的是 ArrayList
和HashSet
, 所以要想应用其余的类型的汇合就能够应用这个办法, 例如应用LinkedList
public class CollectorsTest {public static void main(String[] args) { }
private List<Student> list = new ArrayList<>();
@Before
public void init(){Student student1 = Student.builder().id(1L).name("张三").age(20).address("北京").build();
Student student2 = Student.builder().id(2L).name("李四").age(21).address("上海").build();
Student student3 = Student.builder().id(3L).name("王五").age(22).address("广州").build();
Student student4 = Student.builder().id(4L).name("赵六").age(23).address("重庆").build();
Student student5 = Student.builder().id(5L).name("钱七").age(24).address("武汉").build();
list = Stream.of(student4,student5,student1, student2, student3).collect(Collectors.toList());
}
@Test
public void testCollection(){System.out.println("list :");
System.out.println(JSON.toJSONString(list));
LinkedList<Student> linkedList = list.stream().collect(Collectors.toCollection(LinkedList::new));
System.out.println("linkedList :");
System.out.println(JSON.toJSONString(linkedList));
}
}
list :
[{"address":"北京","age":20,"id":1,"name":"张三"},{"address":"上海","age":21,"id":2,"name":"李四"},{"address":"广州","age":22,"id":3,"name":"王五"},{"address":"重庆","age":23,"id":4,"name":"赵六"},{"address":"武汉","age":24,"id":5,"name":"钱七"}]
linkedList :
[{"address":"北京","age":20,"id":1,"name":"张三"},{"address":"上海","age":21,"id":2,"name":"李四"},{"address":"广州","age":22,"id":3,"name":"王五"},{"address":"重庆","age":23,"id":4,"name":"赵六"},{"address":"武汉","age":24,"id":5,"name":"钱七"}]
toList()
办法
这个最常见和罕用的办法
List<Student> list = Stream.of(student4,student5,student1, student2, student3).collect(Collectors.toList());
toSet()
办法
这个也是最常见和罕用的办法
Set<Student> set = Stream.of(student4, student5, student1, student2, student3).collect(Collectors.toSet());
toMap()
办法
toMap()
起码接管两个参数
@Test
public void testToMap(){Map<Long, Student> towParamMap = list.stream().collect(Collectors.toMap(Student::getId, Function.identity()));
System.out.println(JSON.toJSONString(towParamMap));
}
Collectors.toMap(Student::getId, Function.identity())
这个办法碰到反复的 key 会抛出异样, 把张三和李四的 id 改成一样, 再次运行机会抛出异样
@Before
public void init(){Student student1 = Student.builder().id(1L).name("张三").age(20).address("北京").build();
Student student2 = Student.builder().id(1L).name("李四").age(21).address("上海").build();
Student student3 = Student.builder().id(3L).name("王五").age(22).address("广州").build();
Student student4 = Student.builder().id(4L).name("赵六").age(23).address("重庆").build();
Student student5 = Student.builder().id(5L).name("钱七").age(24).address("武汉").build();
list = Stream.of(student1, student2, student3,student4,student5).collect(Collectors.toList());
}
@Test
public void testToMap(){Map<Long, Student> towParamMap = list.stream().collect(Collectors.toMap(Student::getId, Function.identity()));
System.out.println(JSON.toJSONString(towParamMap));
}
java.lang.IllegalStateException: Duplicate key Student(id=1, name= 张三, age=20, address= 北京)
所以应用这个办法时须要留神, 这时能够通过第三个参数来解决反复 key 的问题
@Before
public void init(){Student student1 = Student.builder().id(1L).name("张三").age(20).address("北京").build();
Student student2 = Student.builder().id(1L).name("李四").age(21).address("上海").build();
Student student3 = Student.builder().id(3L).name("王五").age(22).address("广州").build();
Student student4 = Student.builder().id(4L).name("赵六").age(23).address("重庆").build();
Student student5 = Student.builder().id(5L).name("钱七").age(24).address("武汉").build();
list = Stream.of(student1, student2, student3,student4,student5).collect(Collectors.toList());
}
@Test
public void testToMap(){Map<Long, Student> threeParamMap = list.stream().collect(Collectors.toMap(Student::getId, Function.identity(), (a,b) -> b));
System.out.println(JSON.toJSONString(threeParamMap));
}
后果为
{1:{"address":"上海","age":21,"id":1,"name":"李四"},3:{"address":"广州","age":22,"id":3,"name":"王五"},4:{"address":"重庆","age":23,"id":4,"name":"赵六"},5:{"address":"武汉","age":24,"id":5,"name":"钱七"}}
能够看到李四笼罩了张三, 所以理论中应用时也要留神数据抉择. 留神一下这个函数 (a,b) -> b
也能够从新本人定义一个合并的函数 BinaryOperator<U> mergeFunction
来解决反复数据
还有四个参数的办法能够不应用默认的 HashMap
而应用其余的容器, 例如TreeMap
Map<Long, String> fourParamMap = list.stream().collect(Collectors.toMap(Student::getId, student -> student.getName(), (a,b) -> b, TreeMap::new));
System.out.println(JSON.toJSONString(fourParamMap));
后果
{1:"李四",3:"王五",4:"赵六",5:"钱七"}
groupingBy()
办法
Collectors 类 groupingBy
办法
-
一个参数的办法
一个参数的办法, 还是调用的两个参数的重载办法, 第二个参数默认调用
toList()
办法public static <T, K> Collector<T, ?, Map<K, List<T>>> groupingBy(Function<? super T, ? extends K> classifier) {return groupingBy(classifier, toList()); }
示例:
public class GroupingByTest {public static void main(String[] args) {List<Student> students = new ArrayList<>(); Student student = new Student(); student.setId(1L); student.setName("小明"); students.add(student); Student student2 = new Student(); student2.setId(2L); student2.setName("小红"); students.add(student2); Map<Long, List<Student>> collect = students.stream().collect(Collectors.groupingBy(s -> {return s.getId(); })); System.out.println(JSON.toJSONString(collect)); } }
后果
{1:[{"id":1,"name":"小明"}],2:[{"id":2,"name":"小红"}]}
groupingBy
办法参数Function<? super T, ? extends K> classifier
@FunctionalInterface public interface Function<T, R> {R apply(T t); }
Function
是函数式接口, 接管一个参数 T, 返回一个后果 R, 示例中能够示意为上面这样的, 先创立一个 Function 接口, 再将接口当作参数传进去.
Function<Student, Long> groupingByFun = s -> {return s.getId()};
Map<Long, List<Student>> collect = students.stream().collect(Collectors.groupingBy(groupingByFun));
优化s -> {return s.getId()}
能够简化写法
Function<Student, Long> groupingByFun = s -> {return s.getId()};
// 能够简化成
Function<Student, Long> groupingByFun = s -> s.getId();
// 再一次简化
Function<Student, Long> groupingByFun = Student::getId;
-
两个参数的办法
public static <T, K, A, D> Collector<T, ?, Map<K, D>> groupingBy(Function<? super T, ? extends K> classifier, Collector<? super T, A, D> downstream) {return groupingBy(classifier, HashMap::new, downstream); }
示例
Map<Long, Long> countMap = students.stream().collect(Collectors.groupingBy(Student::getId, Collectors.counting())); System.out.println(JSON.toJSONString(countMap)); // {1:1,2:1}
-
三个参数的办法
public static <T, K, D, A, M extends Map<K, D>> Collector<T, ?, M> groupingBy(Function<? super T, ? extends K> classifier, Supplier<M> mapFactory, Collector<? super T, A, D> downstream) {}
示例
TreeMap<Long, Set<Student>> treeMapSet = students.stream().collect(Collectors.groupingBy(Student::getId, TreeMap::new, Collectors.toSet())); System.out.println(JSON.toJSONString(treeMapSet)); // {1:[{"id":1,"name":"小明"}],2:[{"id":2,"name":"小红"}]}
joining()
办法
总共默认了三个拼接办法
@Test
public void testJoin(){String join = Stream.of("hello", "world", "hello", "java").collect(Collectors.joining());
System.out.println(join);
String join1 = Stream.of("hello", "world", "hello", "java").collect(Collectors.joining(","));
System.out.println(join1);
String join2 = Stream.of("hello", "world", "hello", "java").collect(Collectors.joining(",","",""));
System.out.println(join2);
}
// helloworldhellojava
//hello,world,hello,java
//hello,world,hello,java
从外部实现来看, 还是有不一样, 不带参数的办法, 外部应用 StringBuilder
实现
public static Collector<CharSequence, ?, String> joining() {
return new CollectorImpl<CharSequence, StringBuilder, String>(
StringBuilder::new, StringBuilder::append,
(r1, r2) -> {r1.append(r2); return r1; },
StringBuilder::toString, CH_NOID);
}
带参数的办法应用 StringJoiner
实现
public static Collector<CharSequence, ?, String> joining(CharSequence delimiter,
CharSequence prefix,
CharSequence suffix) {
return new CollectorImpl<>(() -> new StringJoiner(delimiter, prefix, suffix),
StringJoiner::add, StringJoiner::merge,
StringJoiner::toString, CH_NOID);
}
mapping()
办法
mapping
简略用法,mapping
最简略的用法能够和 map 办法一样收集某一个字段的值, 大部分状况能够和 groupingBy
, 配合应用, 例如分组之后只想取某一个字段的值, 就能够应用Collectors.mapping
配合
private List<Student> list = new ArrayList<>();
@Before
public void init(){Student student1 = Student.builder().id(1L).name("张三").age(20).address("北京").build();
Student student2 = Student.builder().id(1L).name("李四").age(21).address("上海").build();
Student student3 = Student.builder().id(3L).name("王五").age(22).address("广州").build();
Student student4 = Student.builder().id(4L).name("赵六").age(23).address("重庆").build();
Student student5 = Student.builder().id(5L).name("钱七").age(24).address("武汉").build();
list = Stream.of(student1, student2, student3,student4,student5).collect(Collectors.toList());
}
@Test
public void testMapping(){
// 收集单个字段
List<Long> mappingList = list.stream().collect(Collectors.mapping(Student::getId, Collectors.toList()));
System.out.println(JSON.toJSONString(mappingList));
// 和 groupingBy 配合应用
Map<Long, List<String>> mapping = list.stream().collect(Collectors.groupingBy(Student::getId, Collectors.mapping(Student::getName, Collectors.toList())));
System.out.println(JSON.toJSONString(mapping));
}
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