Container [pid=6263,containerID=container_1494900155967_0001_02_000001] is running beyond virtual memory limits
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
Diagnostics: Application application_1494900155967_0001 failed 2 times due to AM Container for appattempt_1494900155967_0001_000002 exited with exitCode: -103
For more detailed output, check application tracking page:http://master:8088/proxy/application_1494900155967_0001/Then, click on links to logs of each attempt.
Diagnostics: Container [pid=6263,containerID=container_1494900155967_0001_02_000001] is running beyond virtual memory limits. Current usage: 107.3 MB of 1 GB physical memory used; 2.2 GB of 2.1 GB virtual memory used. Killing container.
意思是说Container要用2.2GB的内存,而虚拟内存只有2.1GB,不够用了,所以Kill了Container。
我的SPARK-EXECUTOR-MEMORY设置的是1G,即物理内存是1G,Yarn默认的虚拟内存和物理内存比例是2.1,也就是说虚拟内存是2.1G,小于了需要的内存2.2G。解决的办法是把拟内存和物理内存比例增大,在yarn-site.xml中增加一个设置:
<property>
<name>yarn.nodemanager.vmem-pmem-ratio</name>
<value>2.5</value>
</property>
再重启Yarn,这样一来就能有2.5G的虚拟内存,运行时就不会出错了。
Container [pid=6263,containerID=container_1494900155967_0001_02_000001] is running beyond virtual memory limits的更多相关文章
- 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 used
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y ...
- 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)
异常问题:Container is running beyond virtual memory limits. Current usage: 119.5 MB of 1 GB physical mem ...
- hadoop is running beyond virtual memory limits问题解决
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 ...
- 【hadoop】 running beyond virtual memory错误原因及解决办法
问题描述: 在hadoop中运行应用,出现了running beyond virtual memory错误.提示如下: Container [pid=28920,containerID=contain ...
- [hadoop] - Container [xxxx] is running beyond physical/virtual memory limits.
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,cont ...
- spark运行任务报错:Container [...] is running beyond physical memory limits. Current usage: 3.0 GB of 3 GB physical memory used; 5.0 GB of 6.3 GB virtual memory used. Killing container.
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 ...
- is running beyond physical memory limits. Current usage: 2.0 GB of 2 GB physical memory used; 2.6 GB of 40 GB virtual memory used
昨天使用hadoop跑五一的数据,发现报错: Container [pid=,containerID=container_1453101066555_4130018_01_000067] GB phy ...
- 运行hadoop的时候提示物理内存或虚拟内存溢出的解决方案running beyond physical memory或者beyond vitual memory limits
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 ...
- Redis Error:/var/redis/run/redis_6379.pid exists, process is already running or crashed
命令service Redis start /var/redis/run/redis_6379.pid exists, process is already running or crashed 引起 ...
随机推荐
- 架构:The Clean Architecture(整洁的架构)(转载)
地址:http://blog.8thlight.com/uncle-bob/2012/08/13/the-clean-architecture.html. Over the last several ...
- URAL 1837. Isenbaev's Number (map + Dijkstra || BFS)
1837. Isenbaev's Number Time limit: 0.5 second Memory limit: 64 MB Vladislav Isenbaev is a two-time ...
- unity3d 5.6烘焙教程
unity5.6是今年发布,作为5.x的最后一个版本,有很多烘焙优势,在此总结一些作为5.x系列完结的笔记这个版本在烘焙上的特点就是增加了渐进光照贴图(Progressive Lightmapper) ...
- weblogic——服务器搭建与配置
本次操作的内容:weblogic服务器搭建与配置服务 本次操作是主要围绕如何搭建weblogic服务器及配置服务,总共有两大步骤,可划分为六个小步骤: 选取已有环境,准备weblogic压缩包 安装w ...
- C#如何判断线程池中所有的线程是否已经完成(转)
其 实很简单用ThreadPool.RegisterWaitForSingleObject方法注册一个定时检查线程池的方法,在检查线程的方法内调用 ThreadPool.GetAvailableThr ...
- vRealize Automation部署虚机如果出错怎么办?
以下地方的日志可以查看: 1. Requests –> Choose my request -> View Detail –> Execution Information. 2. I ...
- 关于UITableView的黑线条
这里採用分组形式.底色可用图片覆盖,设置为cell(是一个view)的子视图,并把cell'的颜色设置为底色 当UITableView的cell没有满屏显示时,就会出现黑线条.我们仅仅需在初始化时,加 ...
- Android -- Interpolator
Interpolator 被用来修饰动画效果,定义动画的变化率,可以使存在的动画效果accelerated(加速),decelerated(减速),repeated(重复),bounced(弹跳)等. ...
- 【Kafka】Kafka-副本-分区设置-性能调优
Kafka-副本-分区设置-性能调优 SparkKafkaDemo - Executors kafka replication 负载均衡_百度搜索 Kafka 高性能吞吐揭秘 - 友盟博客 - Seg ...
- java--线程认识与实例记录 NO.1
下面的内容都是从java编程思想一书中摘取出来,我认为很有产考价值,并且便于后续使用. 主要内容是记录继承thread和实现runnable接口两种方式的代码用法,及内部类中启用线程的用法. 1.首先 ...