GitHub user kishorvpatil opened a pull request: https://github.com/apache/spark/pull/15069
[SPARK-17511] Yarn Dynamic Allocation: Avoid marking released container as Failed ## What changes were proposed in this pull request? Due to race conditions, the ` assert(numExecutorsRunning <= targetNumExecutors)` can fail causing `AssertionError`. So removed the assertion, instead moved the conditional check before launching new container: ``` java.lang.AssertionError: assertion failed at scala.Predef$.assert(Predef.scala:156) at org.apache.spark.deploy.yarn.YarnAllocator$$anonfun$runAllocatedContainers$1.org$apache$spark$deploy$yarn$YarnAllocator$$anonfun$$updateInternalState$1(YarnAllocator.scala:489) at org.apache.spark.deploy.yarn.YarnAllocator$$anonfun$runAllocatedContainers$1$$anon$1.run(YarnAllocator.scala:519) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) ``` ## How was this patch tested? This was manually tested using a large ForkAndJoin job with Dynamic Allocation enabled to validate the failing job succeeds, without any such exception. You can merge this pull request into a Git repository by running: $ git pull https://github.com/kishorvpatil/spark SPARK-17511 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/15069.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #15069 ---- ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org