Github user zhonghaihua commented on a diff in the pull request:
https://github.com/apache/spark/pull/10794#discussion_r54062244
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -81,8 +82,20 @@ private[yarn] class YarnAllocator(
new ConcurrentHashMap[ContainerId, java.lang.Boolean])
@volatile private var numExecutorsRunning = 0
- // Used to generate a unique ID per executor
- private var executorIdCounter = 0
+
+ /**
+ * Used to generate a unique ID per executor
+ *
+ * Init `executorIdCounter`. when AM restart, `executorIdCounter` will
reset to 0. Then
+ * the id of new executor will start from 1, this will conflict with the
executor has
+ * already created before. So, we should initialize the
`executorIdCounter` by getting
+ * the max executorId from driver.
+ *
+ * @see SPARK-12864
+ */
+ private var executorIdCounter: Int = {
+ driverRef.askWithRetry[Int](RetrieveMaxExecutorId) + 1
--- End diff --
Hi @jerryshao , I made a test just now. It can work in yarn cluster mode.
From my understanding, `driverRef` is created by `ApplicationMaster`, so, I
think at this time `driverEndpoint` is started. What's your opinion ? Thanks a
lot.
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