YARN是一个资源调度平台,负责为运算程序提供服务器运算资源,相当于一个分布式的操作系统平台,而MapReduce,Spark,Flink邓运算程序则相当于运行于操作系统之上的应用程序。 一.YARN基本架构 如下图所示,YARN主要由ResourceManager、NodeManager、ApplicationMaster和Container等组件构成。 ResourceManager(简称RM): 全局的资源管理...
最终,YARN之上可以运行各种应用类型的框架,包括离线计算框架MapReduce,实时计算框架Storm,DAG计算框架Tez等,真正实现一个集群多种用途,这样的集群,我们通常称为轻量级弹性计算平台,说它轻量级,是因为YARN采用了Cgroup轻量级隔离方案,说它弹性,是因为YARN能根据各种计算框架或者应用的负载和需求调整它们各自占用的资源,实现集...
# yarn lockfile v1 "@types/events@*": version "1.1.0" resolved "https://registry.yarnpkg.com/@types/events/-/events-1.1.0.tgz#93b1be91f63c184450385272c47b6496fd028e02" "@types/fs-extra@^4.0.0": version "4.0.7" resolved "https://registry.yarnpkg.com/@types/fs-extra/-/...
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一、通过yarn cache命令清除缓存 yarn提供了一种通过命令来清除缓存的方式,通过以下命令即可实现(Windows系统需要在管理员模式下执行): yarn cache clean 这个命令会清除yarn在本地存储的所有缓存,包括npm包、yarn打包的文件等等。 我们也可以通过以下命令来清除指定的包: ...
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