Java8stream表达式

//异步线程
CompletableFuture.runAsync(()->{
    businessInternalService.createAccount(contractId);
});

//获取当前时间一周
Map<String,Date> map = DateUtils.getLastWeek(new Date(), 0);
//获取日期
List<Date> mapValuesList = new ArrayList<Date>(map.values());

//无返回值
CompletableFuture<Void> future1 = CompletableFuture.runAsync(() -> {
System.out.println("runAsync无返回值");
});

future1.get();

//有返回值
CompletableFuture<String> future2 = CompletableFuture.supplyAsync(() -> {
System.out.println("supplyAsync有返回值");
return "111";
});

String s = future2.get();

// 输出：hello System.out.println(Optional.ofNullable(hello).orElse("hei"));

// 输出：hei System.out.println(Optional.ofNullable(null).orElse("hei"));

// 输出：hei System.out.println(Optional.ofNullable(null).orElseGet(() -> "hei"));

// 输出：RuntimeException: eeeee... System.out.println(Optional.ofNullable(null).orElseThrow(() -> new RuntimeException("eeeee..."))); 

操作类型

• Intermediate：

map (mapToInt, flatMap 等)、 filter、 distinct、 sorted、 peek、 limit、 skip、 parallel、 sequential、 unordered

• Terminal：

forEach、 forEachOrdered、 toArray、 reduce、 collect、 min、 max、 count、 anyMatch、 allMatch、 noneMatch、 findFirst、 findAny、 iterator

• Short-circuiting：

anyMatch、 allMatch、 noneMatch、 findFirst、 findAny、 limit

• Optional.of(T)，T为非空，否则初始化报错
• Optional.ofNullable(T)，T为任意，可以为空
• isPresent()，相当于 ！=null
• ifPresent(T)， T可以是一段lambda表达式 ，或者其他代码，非空则执行

List<Integer> list = Arrays.asList(10, 20, 30, 10);

//通过reduce方法得到一个Optional类
int a =  list.stream().reduce(Integer::sum).orElse(get("a"));
int b =  list.stream().reduce(Integer::sum).orElseGet(() -> get("b"));
System.out.println("a  "+a);
System.out.println("b  "+b);
System.out.println("hello world");

//去重复
List<Integer> userIds = new ArrayList<>();
List<OldUserConsumeDTO> returnResult = result.stream().filter(
        v -> {
            boolean flag = !userIds.contains(v.getUserId());
            userIds.add(v.getUserId());
            return flag;
        }
).collect(Collectors.toList());

orElseThrow

//        MyDetailDTO model= Optional.ofNullable(feignUserServiceClient.getUserID(loginUserId)).map((x)->{
//            return s;
//        }).orElseThrow(()->new RuntimeException("用户不存在"));

ifPresent

 Optional.ofNullable(relCDLSuccessTempates.getTemplate()).ifPresent(template -> {
//            cdlSuccessTemplateDetailDTO.setTemplateId(template.getId());
//            cdlSuccessTemplateDetailDTO.setTitle(template.getTitle());
//            cdlSuccessTemplateDetailDTO.setDescription(template.getDescription());
//            cdlSuccessTemplateDetailDTO.setKeywords(template.getKeywords());
//        });

distinct

 List<Integer>  result=  list.stream().distinct().collect(Collectors.toList());

averagingInt

int integer=  list.stream().collect(Collectors.averagingInt());

Optional< String > fullName = Optional.ofNullable( null );
System.out.println( "Full Name is set? " + fullName.isPresent() );
System.out.println( "Full Name: " + fullName.orElseGet( () -> "[none]" ) );
System.out.println( fullName.map( s -> "Hey " + s + "!" ).orElse( "Hey Stranger!" ) );

 final long totalPointsOfOpenTasks = list
//                .stream()
//                //.filter( task -> task.getStatus() == Status.OPEN )
//                .mapToInt(x->x)
//                .sum();

list.stream().collect(Collectors.groupingBy((x)->x));


Map&groupingBy

  Map<Integer, MyDetailDTO> collect = result.stream().collect(Collectors.toMap(MyDetailDTO::getTeamsNumber, u -> u));
  Map<Integer,List<MyDetailDTO>> map = result.stream().collect(Collectors.groupingBy(MyDetailDTO::getTeamsNumber));

parallelStream
long begin = System.currentTimeMillis();

//        List<String> strings = Arrays.asList("abc", "", "bc", "efg", "abcd", "", "jkl");
//        // 获取空字符串的数量
//        int count = (int) strings.parallelStream().filter(string -> string.isEmpty()).count();
//        System.out.println("schedulerTaskCityMaster耗时:" + (System.currentTimeMillis() - begin));

joining

String mergedString = list.stream().collect(Collectors.joining(", "));

comparing&thenComparing

 result.sort(Comparator.comparing(MyDetailDTO::getStraightPushNumber)
//                .thenComparing(MyDetailDTO::getTeamsNumber)
//                .thenComparing(MyDetailDTO::getTeamsNumber));

flatMap

//转换之前 public String getCarInsuranceName(Person person) { return person.getCar().getInsurance().getName(); }

 

 

//转换后 public String getCarInsuranceName(Optional<Person> person) { return person.flatMap(Person::getCar) .flatMap(Car::Insurance) .map(Insurance::getName) .orElse("Unknown"); }

min

Optional<User> min = list.stream().min(Comparator.comparing(User::getUserId));

 

 Collectors.toMap

Map<Integer, User> collect = list.stream().collect(Collectors.toMap(User::getUserId, u -> u));

for (Integer in : collect.keySet())

{ User u = collect.get(in);//得到每个key多对用value的值 println(u); }

 

 

Stream.of(1, 2, 3)

.flatMap(integer -> Stream.of(integer * 10))

.forEach(System.out::println);

 

 //返回类型不一样
        List<String> collect = data.stream()
                .flatMap(person -> Arrays.stream(person.getName().split(" "))).collect(toList());

        List<Stream<String>> collect1 = data.stream()
                .map(person -> Arrays.stream(person.getName().split(" "))).collect(toList());

        //用map实现
        List<String> collect2 = data.stream()
                .map(person -> person.getName().split(" "))
                .flatMap(Arrays::stream).collect(toList());
        //另一种方式
        List<String> collect3 = data.stream()
                .map(person -> person.getName().split(" "))
                .flatMap(str -> Arrays.asList(str).stream()).collect(toList());

 

 anyMatch&noneMatch&allMatch

boolean anyMatch = list.stream().anyMatch(u -> u.getAge() == 100);

boolean allMatch = list.stream().allMatch(u -> u.getUserId() == 10);

boolean noneMatch = list.stream().noneMatch(u -> u.getUserId() == 10);

 

 sum&max&min

Optional<Integer> sum = list.stream().map(User::getAge).reduce(Integer::sum);

Optional<Integer> max = list.stream().map(User::getAge).reduce(Integer::max);

Optional<Integer> min = list.stream().map(User::getAge).reduce(Integer::min);

  //同步
        long start1=System.currentTimeMillis();
        list.stream().collect(Collectors.toSet());
        System.out.println(System.currentTimeMillis()-start1);

        //并发
        long start2=System.currentTimeMillis();
        list.parallelStream().collect(Collectors.toSet());
        System.out.println(System.currentTimeMillis()-start2);

personList.stream().sorted(Comparator.comparing((Person::getAge).thenComparing(Person::getId())).collect(Collectors.toList()) //先按年龄从小到大排序，年龄相同再按id从小到大排序

List<Integer> list = Arrays.asList(10, 20, 30, 40);
List<Integer> result1= list.stream().sorted(Comparator.comparingInt((x)->(int)x).reversed()).collect(Collectors.toList());
System.out.println(result1);

https://segmentfault.com/a/1190000018768907