Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/22624#discussion_r229081942
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
---
@@ -230,7 +242,7 @@ class CoarseGrainedSchedulerBackend(scheduler:
TaskSchedulerImpl, val rpcEnv: Rp
val reply = SparkAppConfig(
sparkProperties,
SparkEnv.get.securityManager.getIOEncryptionKey(),
- fetchHadoopDelegationTokens())
+ Option(delegationTokens.get()))
--- End diff --
> But I was a bit hazy on what happens after that
The RPC layer is basically a message queue. So first message to be sent =
first message to be processed.
But as I said, I'll clean this up since now the code is all in
`CoarseGrainedSchedulerBackend` and that makes it easier.
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