Container killed by YARN for exceeding memory limits - 代码天地

Container killed by YARN for exceeding memory limits

其他 2019-01-22 00:20:47 阅读次数: 0

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转载自blog.csdn.net/weixin_40809627/article/details/86304017

Container killed by YARN for exceeding memory limits

记录：ERROR YarnScheduler: Lost executor 2 on XXX： Container killed by YARN for exceeding memory limits

sparksql 报错Container killed by YARN for exceeding memory limits. xGB of x GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead or disabling

spark on yarn:Container is running beyond physical memory limits

解决yarn上的MapReduce作业失败问题container XXXX is running beyond physical memory limits

Container is running beyond physical memory limits

Flink：Container is running beyond virtual memory limits

spark内存分配 hadoop的job执行在yarn中内存分配调节————Container [pid=108284,containerID=container_e19_1533108188813_12125_01_000002] is running beyond virtual memory limits. Current usage: 653.1 MB of 2 GB physical memory use

记一次MR报错：Container is running beyond physical memory limits,Current usage...

docker被killed out of memory

yarn Container 容器的优化

Memory Limits for Windows and Windows Server Releases

Killing container with id docker:*******:Container failed liveness probe.. Container will be killed and recreated.

YARN Container的NUMA感知支持

[bug] Container killed on request. Exit code is 143

BUG(mapduce):Container killed on request. Exit code is 143

k8s Container资源控制: requests和limits

YARN and MapReduce2 Memory

hive 的is running beyond physical memory limits 错误解决

跑hadoop任务时提示running beyond virtual memory limits

hadoop job报错is running beyond physical memory limits

yarn中container、mr内存的配置，控制container个数

troubleshooting-Container 'PHYSICAL' memory limit

Kafka：ZK+Kafka+Spark Streaming集群环境搭建（十三）kafka+spark streaming打包好的程序提交时提示虚拟内存不足（Container is running beyond virtual memory limits. Current usage: 119.5 MB of 1 GB physical memory used; 2.2 GB of 2.1 G）

浅析Yarn中的关键概念-Container

spark on yarn模式下的executor与container

spark on yarn container分配极端倾斜

YARN-Container申请和分配

cadvisor metrics container_memory_working_set_bytes vs container_memory_usage_bytes

yarn资源memory与core计算配置

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