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Alex Rovner commented on SPARK-5529: ------------------------------------ CDH is usually somewhat slow on picking up the latest changes though. Would it be possible to backport this fix into 1.3? > BlockManager heartbeat expiration does not kill executor > -------------------------------------------------------- > > Key: SPARK-5529 > URL: https://issues.apache.org/jira/browse/SPARK-5529 > Project: Spark > Issue Type: Bug > Components: Spark Core, YARN > Affects Versions: 1.2.0 > Reporter: Hong Shen > Assignee: Hong Shen > Fix For: 1.4.0 > > Attachments: SPARK-5529.patch > > > When I run a spark job, one executor is hold, after 120s, blockManager is > removed by driver, but after half an hour before the executor is remove by > driver. Here is the log: > {code} > 15/02/02 14:58:43 WARN BlockManagerMasterActor: Removing BlockManager > BlockManagerId(1, 10.215.143.14, 47234) with no recent heart beats: 147198ms > exceeds 120000ms > .... > 15/02/02 15:26:55 ERROR YarnClientClusterScheduler: Lost executor 1 on > 10.215.143.14: remote Akka client disassociated > 15/02/02 15:26:55 WARN ReliableDeliverySupervisor: Association with remote > system [akka.tcp://sparkExecutor@10.215.143.14:46182] has failed, address is > now gated for [5000] ms. Reason is: [Disassociated]. > 15/02/02 15:26:55 INFO TaskSetManager: Re-queueing tasks for 1 from TaskSet > 0.0 > 15/02/02 15:26:55 WARN TaskSetManager: Lost task 3.0 in stage 0.0 (TID 3, > 10.215.143.14): ExecutorLostFailure (executor 1 lost) > 15/02/02 15:26:55 ERROR YarnClientSchedulerBackend: Asked to remove > non-existent executor 1 > 15/02/02 15:26:55 INFO DAGScheduler: Executor lost: 1 (epoch 0) > 15/02/02 15:26:55 INFO BlockManagerMasterActor: Trying to remove executor 1 > from BlockManagerMaster. > 15/02/02 15:26:55 INFO BlockManagerMaster: Removed 1 successfully in > removeExecutor > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org