Nirmal
-A good summary regarding memory configuration settings/best-practices can be found here. Note that in YARN, the way you configure resource limits dictates number of containers in the nodes and in the cluster: http://dev.hortonworks.com.s3.amazonaws.com/HDPDocuments/HDP2/HDP-2.0.6.0/bk _installing_manually_book/content/rpm-chap1-11.html -A good intro to YARN configuration is this: http://www.thecloudavenue.com/2012/01/getting-started-with-nextgen-mapreduce _11.html Regards .g From: Nirmal Kumar [mailto:[email protected]] Sent: Wednesday, January 15, 2014 7:22 AM To: [email protected] Subject: Doubts: Deployment and Configuration of YARN cluster All, I am new to YARN and have certain doubts regarding the deployment and configuration of YARN on a cluster. As per my understanding to deploy Hadoop 2.x using YARN on a cluster we need to distribute the below files to all the slave nodes in the cluster: . conf/core-site.xml . conf/hdfs-site.xml . conf/yarn-site.xml . conf/mapred-site.xml Also we need to ONLY change the following file on each slave nodes: . conf/hdfs-site.xml Need to mention the {dfs.datanode.name.dir} value Do we need to change any other config file on the slave nodes? Can I change {yarn.nodemanager.resource.memory-mb} for each NM running on the slave nodes? This is since I might have a *heterogeneous environment* i.e. different nodes with different memory and cores. For NM1 I might have 40GB memory and for the other say 20GB. Also, {mapreduce.map.memory.mb} specifies the *max. virtual memory* allowed by a Hadoop task subprocess. {mapreduce.map.java.opts} specify the *max. heap space* of the allocated jvm. If you exceed the max heap size, the JVM throws an OOM. {mapreduce.reduce.memory.mb} {mapreduce.reduce.java.opts} are the above properties applicable to all the Map\Reduce tasks(from different Map Reduce applications) in general, running on different slave nodes? or Can I change these for a particular slave node.? For e.g. say for a SlaveNode1 I run the map task with 4GB and for other SlaveNode2 I run the map task with 8GB. Same with the reduce task. I need some understanding to *configure processing capacity* in the cluster like Container Size, No. of Containers, No. of Mappers\Reducers. Thanks, -Nirmal _____ NOTE: This message may contain information that is confidential, proprietary, privileged or otherwise protected by law. The message is intended solely for the named addressee. If received in error, please destroy and notify the sender. Any use of this email is prohibited when received in error. Impetus does not represent, warrant and/or guarantee, that the integrity of this communication has been maintained nor that the communication is free of errors, virus, interception or interference.
