valthirdFlow = listOf(5,6).asFlow() // 挨个收集,消费者 firstFlow.collect { println(it) } secondFlow.collect { println(it) } thirdFlow.collect { println(it) } } 从这段代码中我们可以发现,Flow 的创建方式多样,如使用flowOf、flow、as
emit是发射单个值;emitAll是发射一个流,这两个方法分别类似于list.add(item)、list.addAll(list2)方法。flow {···}方法的源码如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 //code 5publicfun<T>flow(@BuilderInference block:suspend FlowCollector<T>.()->Unit):Flow<T>=SafeFlow(block)...
SYNCHRONIZED -> SynchronizedLazyImpl(initializer) LazyThreadSafetyMode.PUBLICATION -> SafePublicationLazyImpl(initializer) LazyThreadSafetyMode.NONE -> UnsafeLazyImpl(initializer) } private class SynchronizedLazyImpl<out T>(initializer: () -> T, lock: Any? = null) : Lazy<T>, Serializable { private...
第一步：接口获取当前用户 token 及用户信息 第二步：将用户的昵称展示界面上 第三步：然后再通过这个...
collect闭包里仅仅只是打印了数据,有个需求,需要将收集到的数据放在List里。很容易就想到: funtest00(){ runBlocking { valresult = mutableListOf<String>() //构造flow valflow = flow { //上游 emit("hello world${Thread.currentThread()}")
toast(result) // run on main thread } } 智能转换允许我们编写代码而不执行冗余的转换: if (x is String) { print(x.length) // x is automatically casted to String } x.length //error, x is not casted to a String outside if block ...
Thread.sleep(1000)// imitate expensive computation"Done"} .subscribeOn(Schedulers.io()) .observeOn(Schedulers.single()) .subscribe(::println, Throwable::printStackTrace) Target either the JVM or JavaScript. Write code in Kotlin and decide where you want to deploy to ...
Kotlin协程作为Kotlin核心的一个组件,上手成本并不高,下面的demo都是我参照官网的例子过了一遍。Kotlin中文网。 其中的Flow大家可以多花点时间,还是挺有意思的。 启动一个协程 代码语言:javascript 代码运行次数:0 运行 AI代码解释 funmain(){GlobalScope.launch{println(123)}Thread.sleep(10)} ...
在makeCompletingOnce 方法中,会根据 state 去处理协程状态,并执行上面插入 state.list 队列中的 ResumeAwaitOnCompletion.invoke 来恢复父协程,必要的话还会把 async 的结果给它,具体代码实现太多就不贴了,不是本节的重点。直接看 ResumeAwaitOnCompletion.invoke 方法: ...
You can connect to and communicate with MongoDB using theMongoClientclass. Use theMongoClient.create()method to construct aMongoClient. Important Reuse Your Client As eachMongoClientrepresents a thread-safe pool of connections to the database, most applications only require a single instance of a...