A Direct-Style Scala Wrapper Around the Structured Concurrency of Project Loom
The library is available on Maven Central. To use it, add the following dependency to your build.sbt
files:
libraryDependencies += "in.rcard.sus4s" %% "core" % "0.0.2"
The library is only available for Scala 3.
The library provides a direct-style API for Project Loom's structured concurrency. It requires JDK 21 and Scala 3. Moreover, Java preview features must be enabled in the Scala compiler.
The main entry point is the sus4s
package object. The following code snippet shows how to use the library:
import in.rcard.sus4s.sus4s.*
val result: Int = structured {
val job1: Job[Int] = fork {
Thread.sleep(1000)
42
}
val job2: Job[Int] = fork {
Thread.sleep(500)
43
}
job1.value + job2.value
}
println(result) // 85
The structured
method creates a new structured concurrency scope represented by the Suspend
trait. It's built on the java.util.concurrent.StructuredTaskScope
class. Hence, the threads forked inside the structured
block are Java Virtual Threads.
The fork
method creates a new Java Virtual Thread that executes the given code block. The fork
method executes functions declared with the capability of suspend:
def findUserById(id: UserId): Suspend ?=> User
Coloring a function with the Suspend
capability tells the caller that the function performs a suspendable operation, aka some effect. Suspension is managed by the Loom runtime, which is responsible for scheduling the virtual threads.
A type alias is available for the Suspend
capability:
type Suspended[A] = Suspend ?=> A
So, the above function can be rewritten as:
def findUserById(id: UserId): Suspended[User]
The structured
function uses structured concurrency to run the suspendable tasks. In detail, it ensures that the thread executing the block waits to complete all the forked tasks. The structured blocks terminate when:
- all the forked tasks complete successfully
- one of the forked tasks throws an exception
- the block throws an exception
Forking a suspendable function means creating a new virtual thread that executes the function. The thread is represented by the Job
class. The Job
class provides the value
method that waits for the completion of the virtual thread and returns the result of the function:
val job1: Job[Int] = fork {
Thread.sleep(1000)
42
}
val meaningOfLife: Int = job1.value
If you're not interested in the result of the function, you can use the join
method:
val job1: Job[Int] = fork {
Thread.sleep(1000)
println("The meaning of life is 42")
}
job1.join()
The structured
function is entirely transparent to any exception thrown by the block or forked tasks.
Canceling a job is possible by calling the cancel
method on the Job
instance. The following code snippet shows how:
val queue = new ConcurrentLinkedQueue[String]()
val result = structured {
val job1 = fork {
val innerCancellableJob = fork {
while (true) {
Thread.sleep(2000)
queue.add("cancellable")
}
}
Thread.sleep(1000)
innerCancellableJob.cancel()
queue.add("job1")
}
val job = fork {
Thread.sleep(500)
queue.add("job2")
43
}
job.value
}
queue.toArray should contain theSameElementsInOrderAs List("job2", "job1")
result shouldBe 43
Cancellation is collaborative. In the above example, the job innerCancellableJob
is marked for cancellation by the call innerCancellableJob.cancel()
. However, the job is not immediately canceled. The job is canceled when it reaches the first point operation that can be interrupted by the JVM. Hence, cancellation is based on the concept of interruption. In the above example, the innerCancellableJob
is canceled when it reaches the Thread.sleep(2000)
operation. The job will never be canceled if we remove the Thread.sleep
operation. A similar behavior is implemented by Kotlin coroutines (see Kotlin Coroutines - A Comprehensive Introduction / Cancellation for further details).
Cancelling a job follows the relationship between parent and child jobs. If a parent's job is canceled, all the children's jobs are canceled as well:
val expectedQueue = structured {
val queue = new ConcurrentLinkedQueue[String]()
val job1 = fork {
val innerJob = fork {
fork {
Thread.sleep(3000)
println("inner-inner-Job")
queue.add("inner-inner-Job")
}
Thread.sleep(2000)
println("innerJob")
queue.add("innerJob")
}
Thread.sleep(1000)
queue.add("job1")
}
val job = fork {
Thread.sleep(500)
job1.cancel()
queue.add("job2")
43
}
queue
}
expectedQueue.toArray should contain theSameElementsInOrderAs List("job2")
Trying to get the value from a canceled job will throw an InterruptedException
. However, joining a canceled job will not throw any exception.
You won't pay any additional cost for canceling a job. The cancellation mechanism is based on the interruption of the virtual thread. No new structured scope is created for the cancellation mechanism.
If you want to contribute to the project, please do it! Any help is welcome.
This project is inspired by the Ox and the Unwrapped libraries.