这不是针对您的问题，但它确实回答了“如何限制 kotlin 协程最大并发性”的问题。
编辑：从 kotlinx.coroutines 1.6.0 (https://github.com/Kotlin/kotlinx.coroutines/issues/2919) 开始，您可以使用 limitedParallelism，例如Dispatchers.IO.limitedParallelism(123).
旧解决方案：起初我想使用newFixedThreadPoolContext，但1）it's deprecated 和2）它会使用线程，我认为这不是必要的或可取的（与Executors.newFixedThreadPool().asCoroutineDispatcher() 相同）。这个解决方案可能存在我使用Semaphore 不知道的缺陷，但它非常简单：
import kotlinx.coroutines.async
import kotlinx.coroutines.awaitAll
import kotlinx.coroutines.coroutineScope
import kotlinx.coroutines.sync.Semaphore
import kotlinx.coroutines.sync.withPermit
/**
* Maps the inputs using [transform] at most [maxConcurrency] at a time until all Jobs are done.
*/
suspend fun <TInput, TOutput> Iterable<TInput>.mapConcurrently(
maxConcurrency: Int,
transform: suspend (TInput) -> TOutput,
) = coroutineScope {
val gate = Semaphore(maxConcurrency)
this@mapConcurrently.map {
async {
gate.withPermit {
transform(it)
}
}
}.awaitAll()
}
测试（抱歉，它使用 Spek、hamcrest 和 kotlin 测试）：
import kotlinx.coroutines.ExperimentalCoroutinesApi
import kotlinx.coroutines.delay
import kotlinx.coroutines.launch
import kotlinx.coroutines.runBlocking
import kotlinx.coroutines.test.TestCoroutineDispatcher
import org.hamcrest.MatcherAssert.assertThat
import org.hamcrest.Matchers.greaterThanOrEqualTo
import org.hamcrest.Matchers.lessThanOrEqualTo
import org.spekframework.spek2.Spek
import org.spekframework.spek2.style.specification.describe
import java.util.concurrent.atomic.AtomicInteger
import kotlin.test.assertEquals
@OptIn(ExperimentalCoroutinesApi::class)
object AsyncHelpersKtTest : Spek({
val actionDelay: Long = 1_000 // arbitrary; obvious if non-test dispatcher is used on accident
val testDispatcher = TestCoroutineDispatcher()
afterEachTest {
// Clean up the TestCoroutineDispatcher to make sure no other work is running.
testDispatcher.cleanupTestCoroutines()
}
describe("mapConcurrently") {
it("should run all inputs concurrently if maxConcurrency >= size") {
val concurrentJobCounter = AtomicInteger(0)
val inputs = IntRange(1, 2).toList()
val maxConcurrency = inputs.size
// https://github.com/Kotlin/kotlinx.coroutines/issues/1266 has useful info & examples
runBlocking(testDispatcher) {
print("start runBlocking $coroutineContext\n")
// We have to run this async so that the code afterwards can advance the virtual clock
val job = launch {
testDispatcher.pauseDispatcher {
val result = inputs.mapConcurrently(maxConcurrency) {
print("action $it $coroutineContext\n")
// Sanity check that we never run more in parallel than max
assertThat(concurrentJobCounter.addAndGet(1), lessThanOrEqualTo(maxConcurrency))
// Allow for virtual clock adjustment
delay(actionDelay)
// Sanity check that we never run more in parallel than max
assertThat(concurrentJobCounter.getAndAdd(-1), lessThanOrEqualTo(maxConcurrency))
print("action $it after delay $coroutineContext\n")
it
}
// Order is not guaranteed, thus a Set
assertEquals(inputs.toSet(), result.toSet())
print("end mapConcurrently $coroutineContext\n")
}
}
print("before advanceTime $coroutineContext\n")
// Start the coroutines
testDispatcher.advanceTimeBy(0)
assertEquals(inputs.size, concurrentJobCounter.get(), "All jobs should have been started")
testDispatcher.advanceTimeBy(actionDelay)
print("after advanceTime $coroutineContext\n")
assertEquals(0, concurrentJobCounter.get(), "All jobs should have finished")
job.join()
}
}
it("should run one at a time if maxConcurrency = 1") {
val concurrentJobCounter = AtomicInteger(0)
val inputs = IntRange(1, 2).toList()
val maxConcurrency = 1
runBlocking(testDispatcher) {
val job = launch {
testDispatcher.pauseDispatcher {
inputs.mapConcurrently(maxConcurrency) {
assertThat(concurrentJobCounter.addAndGet(1), lessThanOrEqualTo(maxConcurrency))
delay(actionDelay)
assertThat(concurrentJobCounter.getAndAdd(-1), lessThanOrEqualTo(maxConcurrency))
it
}
}
}
testDispatcher.advanceTimeBy(0)
assertEquals(1, concurrentJobCounter.get(), "Only one job should have started")
val elapsedTime = testDispatcher.advanceUntilIdle()
print("elapsedTime=$elapsedTime")
assertThat(
"Virtual time should be at least as long as if all jobs ran sequentially",
elapsedTime,
greaterThanOrEqualTo(actionDelay * inputs.size)
)
job.join()
}
}
it("should handle cancellation") {
val jobCounter = AtomicInteger(0)
val inputs = IntRange(1, 2).toList()
val maxConcurrency = 1
runBlocking(testDispatcher) {
val job = launch {
testDispatcher.pauseDispatcher {
inputs.mapConcurrently(maxConcurrency) {
jobCounter.addAndGet(1)
delay(actionDelay)
it
}
}
}
testDispatcher.advanceTimeBy(0)
assertEquals(1, jobCounter.get(), "Only one job should have started")
job.cancel()
testDispatcher.advanceUntilIdle()
assertEquals(1, jobCounter.get(), "Only one job should have run")
job.join()
}
}
}
})
根据https://play.kotlinlang.org/hands-on/Introduction%20to%20Coroutines%20and%20Channels/09_Testing，您可能还需要调整编译器参数以运行测试：
compileTestKotlin {
kotlinOptions {
// Needed for runBlocking test coroutine dispatcher?
freeCompilerArgs += "-Xuse-experimental=kotlin.Experimental"
freeCompilerArgs += "-Xopt-in=kotlin.RequiresOptIn"
}
}
testImplementation 'org.jetbrains.kotlinx:kotlinx-coroutines-test:1.4.1'