19/08/12 14:15:35 ERROR cluster.YarnScheduler: Lost executor 5 on worker01.hadoop.mobile.cn: Container killed by YARN for exceeding memory limits. 5 GB of 5 GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead. 在看这个问题之前,首先解释下…

Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task times, most recent failure: Lost task , hadoop7, executor ): ExecutorLostFailure (executor exited caused by one of the running tasks) Reason: Container killed by YARN…

实际遇到的真实问题,解决方法: 1.调整虚拟内存率yarn.nodemanager.vmem-pmem-ratio (这个hadoop默认是2.1) 2.调整map与reduce的在AM中的大小大于yarn里RM可分配的最小值yarn.scheduler.minimum-allocation-mb 大小因为在Container中计算使用的虚拟内存来自 map虚拟内大小=max(yarn.scheduler.minimum-allocation-mb,mapreduce.map.memory.mb…

异常问题:Container is running beyond virtual memory limits. Current usage: 119.5 MB of 1 GB physical memory used; 2.2 GB of 2.1 GB virtual memory used. Killing container. spark-submit提交脚本: [spark@master work]$ more submit.sh #! /bin/bash jars="" for…

spark版本:1.6.0 scala版本:2.10 报错日志: Application application_1562341921664_2123 failed 2 times due to AM Container for appattempt_1562341921664_2123_000002 exited with exitCode: -104 For more detailed output, check the application tracking page: http://w…

当运行mapreduce的时候,有时候会出现异常信息,提示物理内存或者虚拟内存超出限制,默认情况下:虚拟内存是物理内存的2.1倍.异常信息类似如下: Container [pid=13026,containerID=container_1449820132317_0013_01_000012] is running beyond physical memory limits. Current usage: 1.0 GB of 1 GB physical memory used; 1.7 GB o…

以Spark-Client模式运行,Spark-Submit时出现了下面的错误: User: hadoop Name: Spark Pi Application Type: SPARK Application Tags: YarnApplicationState: FAILED FinalStatus Reported by AM: FAILED Started: 16-五月-2017 10:03:02 Elapsed: 14sec Tracking URL: History Diagnosti…

insert overwrite table canal_amt1...... 2014-10-09 10:40:27,368 Stage-1 map = 100%, reduce = 32%, Cumulative CPU 2772.48 sec 2014-10-09 10:40:28,426 Stage-1 map = 100%, reduce = 32%, Cumulative CPU 2772.48 sec 2014-10-09 10:40:29,481 Stage-1 map = 10…

单机搭建了2.6.5的伪分布式集群,写了一个tf-idf计算程序,分词用的是结巴分词,使用standalone模式运行没有任何问题,切换到伪分布式模式运行一直报错: hadoop is running beyond virtual memory limits 大概意思就是使用虚拟内存超出了限制. 网上参考了好几篇博客,几乎都是再说更改hadoop-env和mapred-site.xml hadoop-env直接更改堆大小 export HADOOP_HEAPSIZE=1000 mapred-si…

当运行中出现Container is running beyond physical memory这个问题出现主要是因为物理内存不足导致的,在执行mapreduce的时候,每个map和reduce都有自己分配到内存的最大值,当map函数需要的内存大于这个值就会报这个错误,解决方法: 在mapreduc-site.xml配置里面设置mapreduce的内存分配大小 <property> <name>mapreduce.map.memory.mb</name> <va…