Github user aarondav commented on a diff in the pull request:
https://github.com/apache/spark/pull/5392#discussion_r33513145
--- Diff: core/src/main/scala/org/apache/spark/deploy/Client.scala ---
@@ -36,20 +36,30 @@ import org.apache.spark.util.{ActorLogReceive,
AkkaUtils, RpcUtils, Utils}
* We currently don't support retry if submission fails. In HA mode,
client will submit request to
* all masters and see which one could handle it.
*/
-private class ClientActor(driverArgs: ClientArguments, conf: SparkConf)
- extends Actor with ActorLogReceive with Logging {
-
- private val masterActors = driverArgs.masters.map { m =>
- context.actorSelection(Master.toAkkaUrl(m,
AkkaUtils.protocol(context.system)))
- }
- private val lostMasters = new HashSet[Address]
- private var activeMasterActor: ActorSelection = null
-
- val timeout = RpcUtils.askTimeout(conf)
-
- override def preStart(): Unit = {
- context.system.eventStream.subscribe(self,
classOf[RemotingLifecycleEvent])
-
+private class ClientEndpoint(
+ override val rpcEnv: RpcEnv,
+ driverArgs: ClientArguments,
+ masterEndpoints: Seq[RpcEndpointRef],
+ conf: SparkConf)
+ extends ThreadSafeRpcEndpoint with Logging {
+
+ // A scheduled executor used to send messages at the specified time.
+ private val forwardMessageThread =
+
ThreadUtils.newDaemonSingleThreadScheduledExecutor("client-forward-message")
+ // Used to provide the implicit parameter of `Future` methods.
+ private val forwardMessageExecutionContext =
+ ExecutionContext.fromExecutor(forwardMessageThread,
+ t => t match {
+ case ie: InterruptedException => // Exit normally
+ case e =>
--- End diff --
nit: `e: Throwable` explicitly
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