Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/4909#discussion_r26001928
--- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala
---
@@ -467,7 +467,9 @@ private[spark] class Master(
* two executors on the same worker).
*/
def canUse(app: ApplicationInfo, worker: WorkerInfo): Boolean = {
- worker.memoryFree >= app.desc.memoryPerSlave &&
!worker.hasExecutor(app)
+ worker.memoryFree >= app.desc.memoryPerSlave &&
+ !worker.hasExecutor(app) &&
+ !app.removedExecutors.exists(_.worker == worker)
--- End diff --
I do think this is a problem for thing like Spark Streaming. Executors
might fail for many reasons, and this ensures a job will never launch properly.
A TTL would be nice for that.
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