[ https://issues.apache.org/jira/browse/YARN-10295?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17261274#comment-17261274 ]
Szilard Nemeth edited comment on YARN-10295 at 1/8/21, 12:24 PM: ----------------------------------------------------------------- Hi @wangda, There's a dedicated jira to deal with test failures on branch-3.2: YARN-10249. There are other commits that went in under similar circumstances: https://issues.apache.org/jira/browse/YARN-10194?focusedCommentId=17093663&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-17093663 Nowadays test results are looking better for branch-3.2, see this for example: https://issues.apache.org/jira/browse/YARN-10528?focusedCommentId=17252715&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel# But this doesn't mean all is good for branch-3.2, as I said tests are quite unreliable / flakey there. was (Author: snemeth): Hi @wangda, There's a dedicated jira to deal with test failures on branch-3.2: YARN-10249. There are other commits that went in under similar circumstances: https://issues.apache.org/jira/browse/YARN-10194?focusedCommentId=17093663&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-17093663 Nowadays test results are looking better for branch-3.2, see this for example: https://issues.apache.org/jira/browse/YARN-10528?focusedCommentId=17252715&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel# > CapacityScheduler NPE can cause apps to get stuck without resources > ------------------------------------------------------------------- > > Key: YARN-10295 > URL: https://issues.apache.org/jira/browse/YARN-10295 > Project: Hadoop YARN > Issue Type: Bug > Components: capacityscheduler > Affects Versions: 3.1.0, 3.2.0 > Reporter: Benjamin Teke > Assignee: Benjamin Teke > Priority: Major > Fix For: 3.2.2, 3.1.5 > > Attachments: YARN-10295.001.branch-3.1.patch, > YARN-10295.001.branch-3.2.patch, YARN-10295.002.branch-3.1.patch, > YARN-10295.002.branch-3.2.patch > > > When the CapacityScheduler Asynchronous scheduling is enabled and log level > is set to DEBUG there is an edge-case where a NullPointerException can cause > the scheduler thread to exit and the apps to get stuck without allocated > resources. Consider the following log: > {code:java} > 2020-05-27 10:13:49,106 INFO fica.FiCaSchedulerApp > (FiCaSchedulerApp.java:apply(681)) - Reserved > container=container_e10_1590502305306_0660_01_000115, on node=host: > ctr-e148-1588963324989-31443-01-000002.hwx.site:25454 #containers=14 > available=<memory:2048, vCores:11> used=<memory:182272, vCores:14> with > resource=<memory:4096, vCores:1> > 2020-05-27 10:13:49,134 INFO fica.FiCaSchedulerApp > (FiCaSchedulerApp.java:internalUnreserve(743)) - Application > application_1590502305306_0660 unreserved on node host: > ctr-e148-1588963324989-31443-01-000002.hwx.site:25454 #containers=14 > available=<memory:2048, vCores:11> used=<memory:182272, vCores:14>, currently > has 0 at priority 11; currentReservation <memory:0, vCores:0> on node-label= > 2020-05-27 10:13:49,134 INFO capacity.CapacityScheduler > (CapacityScheduler.java:tryCommit(3042)) - Allocation proposal accepted > 2020-05-27 10:13:49,163 ERROR yarn.YarnUncaughtExceptionHandler > (YarnUncaughtExceptionHandler.java:uncaughtException(68)) - Thread > Thread[Thread-4953,5,main] threw an Exception. > java.lang.NullPointerException > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler.allocateContainerOnSingleNode(CapacityScheduler.java:1580) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler.allocateContainersToNode(CapacityScheduler.java:1767) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler.allocateContainersToNode(CapacityScheduler.java:1505) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler.schedule(CapacityScheduler.java:546) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler$AsyncScheduleThread.run(CapacityScheduler.java:593) > {code} > A container gets allocated on a host, but the host doesn't have enough > memory, so after a short while it gets unreserved. However because the > scheduler thread is running asynchronously it might have entered into the > following if block located in > [CapacityScheduler.java#L1602|https://github.com/apache/hadoop/blob/7136ebbb7aa197717619c23a841d28f1c46ad40b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.java#L1602], > because at the time _node.getReservedContainer()_ wasn't null. Calling it a > second time for getting the ApplicationAttemptId would be an NPE, as the > container got unreserved in the meantime. > {code:java} > // Do not schedule if there are any reservations to fulfill on the node > if (node.getReservedContainer() != null) { > if (LOG.isDebugEnabled()) { > LOG.debug("Skipping scheduling since node " + node.getNodeID() > + " is reserved by application " + node.getReservedContainer() > .getContainerId().getApplicationAttemptId()); > } > return null; > } > {code} > A fix would be to store the container object before the if block. > Only branch-3.1/3.2 is affected, because the newer branches have YARN-9664 > which indirectly fixed this. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org