yarn

Get current number of running containers in Spark on YARN

由 ∥☆過路亽．° 提交于 2020-01-17 08:01:43
问题 I have a Spark application running on top of yarn. Having an RDD I need to execute a query against the database. The problem is that I have to set proper connection options otherwise the database will be overloaded. And these options depend on the number of workers that query this DB simultaneously. To solve this problem I want to detect the current number of running workers in runtime (from a worker). Something like that: val totalDesiredQPS = 1000 //queries per second val queries: RDD

Get current number of running containers in Spark on YARN

由 微笑、不失礼 提交于 2020-01-17 08:01:28
问题 I have a Spark application running on top of yarn. Having an RDD I need to execute a query against the database. The problem is that I have to set proper connection options otherwise the database will be overloaded. And these options depend on the number of workers that query this DB simultaneously. To solve this problem I want to detect the current number of running workers in runtime (from a worker). Something like that: val totalDesiredQPS = 1000 //queries per second val queries: RDD

mapreduce on yarn的工作流程

由 假装没事ソ 提交于 2020-01-16 17:13:37
　　 当client提交一个任务后,首先resourceManger(RM)来调度出一个container,这个container是在nodeManger(NM)运作的, 　client直接和这个container所在的NM进行通信,在这个container中启动applicationMaster(AM),启动成功之后,这个AM将全权负责此次任务的进度,失败原因( 在一次job中只有一个AM ). 　AM会计算此次任务所需的资源,然后向RM申请资源,得到一组供map/reduce task运行的container,然后协同NM一起对每个container执行一些必要的任务,在任务执行 　过程中,AM会一直监视着任务的运行进度,若中间某个NM上的container中的任务失败,那么AM会重新找一台节点来运行此任务. 流程如下: MRv2运行流程： MR JobClient向resourceManager(RM)提交一个job RM向Scheduler请求一个供MR AM运行的container，然后启动它 MR AM启动起来后向RM注册 MR JobClient向RM获取到MR AM相关的信息，然后直接与MR AM进行通信 MR AM计算splits并为所有的map构造资源请求 MR AM做一些必要的MR OutputCommitter的准备工作 MR AM向RM(Scheduler

yarn执行流程

由 随声附和 提交于 2020-01-16 17:13:06
1.client向ResourceManager请求运行应用程序， 2.ResourceManageer接受的到请求后，就会为应用程序分配资源， 3.到第一个NodeManager上要求Container启动ApplicationMaster， 4.AppMaster向ResourceManager注册，可以让用户通过ResourceManager可以时刻观察进程的情况。同时ResourceManager会为AppMaster分配资源，将资源分配情况发送给AppMaster， 5.AppMaster就会去相应的接点上启动Container，用来运行task任务的，并且时刻和Appmaster进行通信，汇报任务完成情况。 6.当所有的任务完成后，AppMaster就是去Resource注销自己。 来源： https://www.cnblogs.com/congguanghui/p/8305845.html

Hadoop Adding More Than 1 Core Per Container on Hadoop 2.7

由 左心房为你撑大大i 提交于 2020-01-16 11:58:07
问题 I hear there is a way to add 32 cores or which ever you have for cores to 1 container in Hadoop 2.7 yarn. Would this be possible and does someone have a sample configuration of what I need to change to achieve this? The test would be terasort, adding my 40 cores to 1 container job. 回答1: For vCores following are the configurations: yarn.scheduler.maximum-allocation-vcores - Specifies maximum allocation of vCores for every container request Typically in yarn-site.xml , you set this value to 32.

Hadoop Adding More Than 1 Core Per Container on Hadoop 2.7

由 最后都变了- 提交于 2020-01-16 11:57:10
问题 I hear there is a way to add 32 cores or which ever you have for cores to 1 container in Hadoop 2.7 yarn. Would this be possible and does someone have a sample configuration of what I need to change to achieve this? The test would be terasort, adding my 40 cores to 1 container job. 回答1: For vCores following are the configurations: yarn.scheduler.maximum-allocation-vcores - Specifies maximum allocation of vCores for every container request Typically in yarn-site.xml , you set this value to 32.

安装vue的cli3.3.0脚手架

由 假如想象 提交于 2020-01-16 05:15:27
前提条件：电脑安装好node.js 安装node.js的参考地址：https://www.jianshu.com/p/03a76b2e7e00 1.安装cnpm(国内镜像速度快) npm install - g cnpm -- registry = https : / / registry . npm . taobao . org 注意：可以利用cnpm -v命令查看 是否安装成功 2.通过cnpm安装cli cnpm i - g @vue / cli@ 3.3 .0 注意：可以使用vue -V 查看是否安装成功 3.可以使用yarn代替npm/cnpm Yarn是facebook发布的一款取代npm的包管理工具。 yarn的安装（使用npm安装）: npm install - g yarn 查看版本： yarn -- version 提供一个.msi文件，在运行时将引导您在Windows上安装Yarn Yarn 淘宝源安装，分别复制粘贴以下代码行到CMD窗口运行即可 1. yarn config set registry https : / / registry . npm . taobao . org - g 2. yarn config set sass_binary_site http : / / cdn . npm . taobao . org / dist / node

HBase 教程

由 巧了我就是萌 提交于 2020-01-15 19:30:09
1.HBase基础 1.1.HBase基本介绍 1.2.HBase配置安装 1.3.HBase使用用例 1.3.1.增 1.3.2.删 1.3.3.改 1.3.4.查 1.4.HBase基本概念 1.4.1.表，rowkey，列蔟，列 1.4.2.数据版本TTL 1.4.3.root，meta，namespace表 1.4.4.master，regionserver，thriftserver 1.4.5.get，scan 1.5.HBase常用命令 1.5.1.shell所有命令 2.HBase进阶 2.1.HBase架构 2.1.1.写流程 2.1.2.读流程 2.1.3.split流程 2.1.4.merge流程 2.1.5.compact流程 2.1.6.balancer路程 2.1.7.WAL 2.2.HBase API 2.2.1.JAVA API 2.2.2.MapReduce API 2.3.HBase配置解析 2.3.1.hbase-env.sh 2.3.2.hbase-site.xml 2.4.HBase性能优化 2.4.1.客户端 2.4.2.服务端 2.4.3.ycsb 3.HBase高阶 3.1.HBase运维 3.1.1.节点启停 3.1.2.meta表修复 3.1.3.HBase监控 3.2.HBase协处理器 3.2.1.observer协处理器 3

Spark on Yarn job failed with ExitCode:1 and stderr says “Can't find main class”

由 纵饮孤独 提交于 2020-01-15 12:44:29
问题 We tried to submit a simple SparkPI example onto Spark on Yarn. The bat is written as below: ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-cluster --num-executors 3 --driver-memory 4g --executor-memory 1g --executor-cores 1 .\examples\target\spark-examples_2.10-1.4.0.jar 10 pause Our HDFS and Yarn works well. We are using Hadoop 2.7.0 and Spark 1.4.1. We have only 1 node that acts as both NameNode and DataNode. When we execute it, it fails with log says the

Know the disk space of data nodes in hadoop?

由 萝らか妹 提交于 2020-01-15 05:13:06
问题 Is there a way or any command using which I can come to know the disk space of each datanode or the total cluster disk space? I tried the command dfs -du -h / but it seems that I do not have permission to execute it for many directories and hence cannot get the actual disk space. 回答1: From UI: http://namenode:50070/dfshealth.html#tab-datanode ---> which will give you all the details about datanode. From command line: To get disk space of each datanode: sudo -u hdfs hdfs dfsadmin -report --->
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