Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/17480#discussion_r111299625
--- Diff:
core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala ---
@@ -249,7 +249,14 @@ private[spark] class ExecutorAllocationManager(
* yarn-client mode when AM re-registers after a failure.
*/
def reset(): Unit = synchronized {
- initializing = true
+ /**
+ * When some tasks need to be scheduled and initial executor = 0,
resetting the initializing
+ * field may cause it to not be set to false in yarn.
+ * SPARK-20079: https://issues.apache.org/jira/browse/SPARK-20079
+ */
+ if (maxNumExecutorsNeeded() == 0) {
+ initializing = true
--- End diff --
You're just saying that when a new AM register the driver needs to tell it
how many executors it wants. So, basically, instead of the driver doing that,
currently the driver just resets itself to the initial state, hurting any
running jobs.
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