How to join a Kotlin SupervisorJob

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I am trying to process a tree of data objects. Each tree leaf is supposed to be processed through a function using a coroutine. The whole process should be done using a fixed size threadpool.

So I came up with this:

val node = an instance of WorkspaceEntry (tree structure)
val localDispatcher = newFixedThreadPoolContext(16)

fun main() {
    val job = SupervisorJob()
    val scope = CoroutineScope(localDispatcher + job)
    handleEntry(node, scope)

    runBlocking {
        job.join()
    }
}

The handleEntry method recursively launches a child job in the supervisor for each tree leaf.

The child jobs of the supervisor all complete successfully, but the join never returns. Am I understanding this wrong?

Edit: HandleEntry function

private fun handleEntry(workspaceEntry: WorkspaceEntry, scope: CoroutineScope) {
    if (workspaceEntry is FileEntry) {
        scope.launch {
            FileTypeRegistry.processFile(workspaceEntry.fileBlob)
        }
    } else {
        workspaceEntry.children.forEach { child -> handleEntry(child, scope) }
    }
}
2 Answers

It seems the Job that is used to create CoroutineContext (in your case SupervisorJob) is not intended for waiting child coroutines to finish, so you can't use job.join(). I guess the main intent of that Job is to cancel child coroutines. Changing runBlocking block to the following will work:

runBlocking {
    job.children.forEach {
        it.join()
    }
}

You have mixed two roles:

  1. the master job found in the coroutine scope that never completes on its own and is used to control the lifecycle of everything else
  2. the job corresponding to a unit of work, possibly decomposed into more child jobs

You need both, like this:

val masterJob = SupervisorJob()
val scope = CoroutineScope(localDispatcher + masterJob)

val unitOfWork = scope.launch { handleEntry(node, scope) }
runBlocking { unitOfWork.join() }

The above code doesn't really motivate the existence of the master job because you start just one child job from it, but it may make sense in a wider picture, where you have some context from which you launch many jobs, and want to be able to write

masterJob.cancel()

to cancel everything before it's done.

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