Apache Hadoop YARN：背景及概述

【Apache Hadoop YARN：背景及概述】的更多相关文章

Apache Hadoop YARN：背景及概述

从2012年8月开始Apache Hadoop YARN(YARN = Yet Another Resource Negotiator)成了Apache Hadoop的一项子工程.自此Apache Hadoop由下面四个子工程组成: Hadoop Comon:核心库,为其他部分服务 Hadoop HDFS:分布式存储系统 Hadoop MapReduce:MapReduce模型的开源实现 Hadoop YARN:新一代Hadoop数据处理框架概括来说,Hadoop YARN的目的是使得Hado…

hadoop错误org.apache.hadoop.yarn.exceptions.YarnException Unauthorized request to start container

错误: 14/04/29 02:45:07 INFO mapreduce.Job: Job job_1398704073313_0021 failed with state FAILED due to: Application application_1398704073313_0021 failed 2 times due to Error launching appattempt_1398704073313_0021_000002. Got exception: org.apache…

Hadoop -YARN 应用程序设计概述

一概述应用程序是用户编写的处理数据的统称,它从YARN中申请资源完毕自己的计算任务.YARN自身相应用程序类型没有不论什么限制,它能够是处理短类型任务的MapReduce作业,也能够是部署长时间执行的服务的应用程序.应用程序能够向YARN申请资源完毕各类计算任务. 在YARN上开发一个应用程序,通常而言,须要开发两个组件,各自是client和ApplicationMaster,当中client主要作用是将应用程序提交到YARN上,并与YARN 和Application…

Apache Hadoop YARN – NodeManager--转载

原文地址:http://zh.hortonworks.com/blog/apache-hadoop-yarn-nodemanager/ The NodeManager (NM) is YARN’s per-node agent, and takes care of the individual compute nodes in a Hadoop cluster. This includes keeping up-to date with the ResourceManager (RM), ove…

spark on yarn 动态资源分配报错的解决：org.apache.hadoop.yarn.exceptions.InvalidAuxServiceException: The auxService:spark_shuffle does not exist

组件:cdh5.14.0 spark是自己编译的spark2.1.0-cdh5.14.0 第一步:确认spark-defaults.conf中添加了如下配置: spark.shuffle.service.enabled true //启用External shuffle Service服务 spark.shuffle.service.port //Shuffle Service服务端口,必须和yarn-site中的一致 spark.dynamicAllocation.enabled true /…

spark 笔记 4：Apache Hadoop YARN: Yet Another Resource Negotiator

spark支持YARN做资源调度器,所以YARN的原理还是应该知道的:http://www.socc2013.org/home/program/a5-vavilapalli.pdf 但总体来说,这是一篇写得一般的论文,它的原理没有什么特别突出的,而且它列举的数据没有对比性,几乎看不出YARN有什么优势.反正我看完的感觉是,YARN的资源分配在延迟上估计很糟糕.而实际使用似乎也印证了这个预感. Abstract two key shortcomings: 1) tight coupling…

Apache Hadoop YARN – ResourceManager--转载

原文地址:http://zh.hortonworks.com/blog/apache-hadoop-yarn-resourcemanager/ ResourceManager (RM) is the master that arbitrates all the available cluster resources and thus helps manage the distributed applications running on the YARN system. It works tog…