CoroutineContext是类似于Map的,每个Element有自己的Key,这是为了保证每个CoroutineContext对象中每个Key只能有一个Element对象。可以把CoroutineContext看成是Map,因此可以使用[]来获取Key对应的Element,如取Job,可以用context[Job],取名字时可以用context[CoroutineName]等。 具体Element有四种: Job:协程的句柄,或者说唯一...
CoroutineContext是类似于Map的,每个Element有自己的Key,这是为了保证每个CoroutineContext对象中每个Key只能有一个Element对象。可以把CoroutineContext看成是Map,因此可以使用[]**来获取Key对应的Element,如取Job,可以用context[Job],取名字时可以用context[CoroutineName]等。 具体Element有四种: Job:协程的句柄,或者说...
我们在 Java 中配置线程池最直接的方式是通过构造一个ThreadPoolExecutor对象来手动配置,而ThreadPoolExecutor类实现了Executor,在这里,CoroutineScheduler类也实现了Executor接口,可见这就是协程中线程池的一种实现,它没有直接使用 Java 中的ThreadPoolExecutorAPI,而是通过实现接口来自己实现了一个线程池。 回到dispatcher...
* * @suppress **This an internal API and should not be used from general code.** */ @InternalCoroutinesApi public abstract class AbstractCoroutine<in T>( /** * The context of the parent coroutine. */ @JvmField protected val parentContext: CoroutineContext, active: Boolean = true ) : ...
支持分别引入implementation来实现各自的逻辑。另外Kotlin标准库会被自动加到相应的sourceSet中,无需重复引入。比方说上面的kotlinx-coroutines-core。之后,Android和iOS分别使用各自常规方式引入/调用aar或framework即可。经过以上的说明,我们大概了解了KMM,项目的架构,抄一张官网的图进行总结:...
kotlinx-coroutines-test license reactive site test-utils ui .gitignore CHANGES.md CHANGES_UP_TO_1.7.md CODE_OF_CONDUCT.md CONTRIBUTING.md LICENSE.txt README.md RELEASE.md build.gradle.kts bump-version.sh coroutines-guide.md gradle.properties ...
The Executor and ExecutorService classes are especially beneficial for concurrency. (Project Loom also offers lightweight threads.) Kotlin coroutines, from the kotlinx.coroutines library, facilitate concurrency and include a separate library branch for multithreading. The memory manager in Kotlin 1.7.20...
Kotlin and Java handle concurrency differently. While Java providesThreadandExecutorfor concurrent tasks, Kotlin uses coroutines and suspending functions, allowing you to perform asynchronous tasks sequentially. It’s also worth noting that, unlike Java, semicolons are optional in Kotlin. Kotlin also ...
Restored binary compatibility of Executor.asCoroutineDispatcher (see #629). Fixed OOM in thread-pool dispatchers (see #571). Check for cancellation when starting coroutine with Dispatchers.Unconfined (see #621). A bunch of various performance optimizations and docs fixes, including contri...
After I completed the implementation and fixed memory leaks, I wanted to do some “load testing”. Basically, just see the difference in performance between different implementations of the same flow (thread, thread pools, RxJava, coroutines). And what do you think? It turns out that coroutin...