Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

dynamic allocation executor pending for addition flood fix #396

Merged
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -270,6 +270,16 @@ class RayAppMaster(host: String,
.map{ case (name, amount) => s"${name}: ${amount}"}.mkString(", ")} }..")
// TODO: Support generic fractional logical resources using prefix spark.ray.actor.resource.*

// This will check with dynamic auto scale no additional pending executor actor added more
// than max executors count as this result in executor even running after job completion
val dynamicAllocationEnabled = conf.getBoolean("spark.dynamicAllocation.enabled", false)
if (dynamicAllocationEnabled) {
val maxExecutor = conf.getInt("spark.dynamicAllocation.maxExecutors", 0)
if (restartedExecutors.size >= maxExecutor) {
return
}
}

val handler = RayExecutorUtils.createExecutorActor(
executorId, getAppMasterEndpointUrl(),
rayActorCPU,
Expand Down
Loading