• spark模型运行时无法连接摸个excutors异常org.apache.spark.shuffle.FetchFailedException: Failed to connect to xxxx/xx.xx.xx.xx:xxxx


    error:org.apache.spark.shuffle.FetchFailedException: Failed to connect to xxxx/xx.xx.xx.xx:xxxx

    定位来定位去与防火墙等无关。反复查看日志:

    2019-09-30 11:00:46,521 | WARN | [dispatcher-event-loop-50] | Lost task 5.0 in stage 1.2 (TID 24441, dggsafe0321-cm, executor 7): ExecutorLostFailure (executor 7 exited caused by one of the running tasks) Reason: Container killed by YARN for exceeding memory limits. 4.6 GB of 4.5 GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead. | org.apache.spark.internal.Logging$class.logWarning(Logging.scala:66)
    2019-09-30 11:00:46,521 | INFO | [dag-scheduler-event-loop] | Resubmitted ShuffleMapTask(6, 25830), so marking it as still running | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
    2019-09-30 11:00:46,522 | WARN | [dispatcher-event-loop-50] | Lost task 4.0 in stage 1.2 (TID 24440, dggsafe0321-cm, executor 7): ExecutorLostFailure (executor 7 exited caused by one of the running tasks) Reason: Container killed by YARN for exceeding memory limits. 4.6 GB of 4.5 GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead. | org.apache.spark.internal.Logging$class.logWarning(Logging.scala:66)
    2019-09-30 11:00:46,522 | INFO | [dag-scheduler-event-loop] | Resubmitted ShuffleMapTask(6, 15603), so marking it as still running | org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)

    发现节点内存溢出,导致节假死,导致节点无法访问,扩展相应执行内存重启就行。

    --driver-memory 4g --executor-memory 6g 
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  • 原文地址:https://www.cnblogs.com/shaozhiqi/p/11613687.html
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