因此,第一次查看coroutines,我想并行处理大量数据并等待它完成。我一直在环顾四周,看过奔跑,等待等等,但不确定如何使用它。
我到目前为止有
val jobs = mutableListOf<Job>()
jobs += GlobalScope.launch { processPages(urls, collection) }
jobs += GlobalScope.launch { processPages(urls, collection2) }
jobs += GlobalScope.launch { processPages(urls, collection3) }
我想知道/等待这些完成
,如果您使用结构化并发的概念,则无需手动跟踪您的工作。假设您的processPages
函数执行某种阻止IO,则可以将代码封装到以下悬挂函数中,该功能将代码执行的IO调度程序中执行您的代码:
suspend fun processAllPages() = withContext(Dispatchers.IO) {
// withContext waits for all children coroutines
launch { processPages(urls, collection) }
launch { processPages(urls, collection2) }
launch { processPages(urls, collection3) }
}
现在,如果您的应用程序的最高功能还不是悬挂函数,那么您可以使用runBlocking
调用processAllPages
:
runBlocking {
processAllPages()
}
您可以使用async
构建器函数并行处理大量数据:
class Presenter {
private var job: Job = Job()
private var scope = CoroutineScope(Dispatchers.Main + job) // creating the scope to run the coroutine. It consists of Dispatchers.Main (coroutine will run in the Main context) and job to handle the cancellation of the coroutine.
fun runInParallel() {
scope.launch { // launch a coroutine
// runs in parallel
val deferredList = listOf(
scope.asyncIO { processPages(urls, collection) },
scope.asyncIO { processPages(urls, collection2) },
scope.asyncIO { processPages(urls, collection3) }
)
deferredList.awaitAll() // wait for all data to be processed without blocking the UI thread
// do some stuff after data has been processed, for example update UI
}
}
private fun processPages(...) {...}
fun cancel() {
job.cancel() // invoke it to cancel the job when you don't need it to execute. For example when UI changed and you don't need to process data
}
}
扩展功能asyncIO
:
fun <T> CoroutineScope.asyncIO(ioFun: () -> T) = async(Dispatchers.IO) { ioFun() } // CoroutineDispatcher - runs and schedules coroutines
GlobalScope.launch
不建议使用,除非您希望Coroutine在整个应用程序寿命上运行而不过早取消。
编辑:如罗马·伊丽莎白(Roman Elizarov)所述,除非您要更新UI或在处理所有数据后立即进行其他操作,否则您可以尝试不使用awaitAll()
功能。
可以使用以下方法。
fun myTask() {
GlobalScope.launch {
val task = listOf(
async {
},
async {
}
)
task.awaitAll()
}
}