Github user harishreedharan commented on a diff in the pull request:
https://github.com/apache/spark/pull/4688#discussion_r28938209
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
---
@@ -121,8 +125,7 @@ class CoarseGrainedSchedulerBackend(scheduler:
TaskSchedulerImpl, val rpcEnv: Rp
context.reply(RegisterExecutorFailed("Duplicate executor ID: " +
executorId))
} else {
logInfo("Registered executor: " + executorRef + " with ID " +
executorId)
- context.reply(RegisteredExecutor)
-
+ context.reply(RegisteredExecutor(latestTokens))
--- End diff --
Correct. If an executor dies after the initial login, a new one starting up
would not have tokens to read the data from HDFS. So on registering, they'd get
new tokens that can be used to access HDFS.
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