Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/10794#discussion_r53521663
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
---
@@ -155,6 +158,9 @@ class CoarseGrainedSchedulerBackend(scheduler:
TaskSchedulerImpl, val rpcEnv: Rp
// in this block are read when requesting executors
CoarseGrainedSchedulerBackend.this.synchronized {
executorDataMap.put(executorId, data)
+ if (currentExecutorIdCounter < Integer.parseInt(executorId)) {
+ currentExecutorIdCounter = Integer.parseInt(executorId)
+ }
--- End diff --
this is kind of awkward. You don't need to keep track of another variable;
just compute the max executor ID when the AM asks for it. You already have all
the information you need in `executorDataMap`.
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