搭建部署Hadoop之Yarn

Yarn 集群资源管理系统

创新互联从2013年开始，是专业互联网技术服务公司，拥有项目网站设计制作、成都做网站网站策划，项目实施与项目整合能力。我们以让每一个梦想脱颖而出为使命，1280元株洲做网站,已为上家服务,为株洲各地企业和个人服务,联系电话:13518219792

Yarn 角色及概念

•Yarn 是 Hadoop 的一个通用的资源管理系统

• Yarn 角色

– Resourcemanager

– Nodemanager

– ApplicationMaster

– Container

– Client

• ResourceManager

– 处理客户端请求

– 启动 / 监控 ApplicationMaster

– 监控 NodeManager

– 资源分配与调度

• NodeManager

– 单个节点上的资源管理

– 处理来自 ResourceManager 的命令

– 处理来自 ApplicationMaster 的命令

• Container

– 对任务运行行环境的抽象,封装了 CPU 、内存等

– 多维资源以及环境变量、启动命令等任务运行相关的信息资源分配与调度

• ApplicationMaster

– 数据切分

– 为应用程序申请资源,并分配给内部任务

– 任务监控与容错

• Client

– 用户与 YARN 交互的客户端程序

– 提交应用程序、监控应用程序状态,杀死应用程序等

Yarn 结构

搭建部署Hadoop 之Yarn

• YARN 的核心思想

• 将 JobTracker 和 TaskTacker 进行分离,它由下面几大构成组件:

– ResourceManager 一个全局的资源管理器

– NodeManager 每个节点(RM)代理

– ApplicationMaster 表示每个应用

– 每一个 ApplicationMaster 有多个 Container 在NodeManager 上运行

系统规划

主机角色软件

192.168.4.1 master Resource Manager YARN

192.168.4.2 node1 Node Manager YARN

192.168.4.3 node2 Node Manager YARN

192.168.4.4 node3 Node Manager YARN

Yarn 安装与配置

具体实验准备可以参考 https://blog.51cto.com/13558754/2066708

# ssh 192.168.4.1

# cd /usr/local/hadoop/

# cd etc/hadoop/

# cp mapred-site.xml.template mapred-site.xml

# vim mapred-site.xml

mapreduce.framework.name

yarn // 配置使用yarn 资源管理系统

# vim yarn-site.xml

yarn.resourcemanager.hostname

master //配置 Resource Manager 角色

yarn.nodemanager.aux-services

mapreduce_shuffle // 一个 java 的类真实环境与开发人员沟通

配置完成以后

# for i in node{1..3} //将配置文件同步到所有主机

> do

> rsync -azSH --delete /usr/local/hadoop/etc/hadoop/ ${i}:/usr/local/hadoop/etc/hadoop -e 'ssh'

> done

# cd /usr/local/hadoop/

启动 yarn 服务

# ./sbin/start-yarn.sh

在所有主机上执行 jps, 查看是否启动成功

# for i in master node{1..3}

> do

> echo ${i}

> ssh ${i} "jps"

> done

master

3312 Jps

3005 ResourceManager

node1

3284 Jps

3162 NodeManager

node2

2882 NodeManager

3004 Jps

node3

2961 Jps

2831 NodeManager

显示所有可用的计算节点

# ./bin/yarn node -list

18/01/31 06:41:56 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.4.1:8032

Total Nodes:3

Node-Id Node-StateNode-Http-AddressNumber-of-Running-Containers

node3:46007 RUNNING node3:8042 0

node2:54895 RUNNING node2:8042 0

node1:51087 RUNNING node1:8042

resourcemanager

搭建部署Hadoop 之Yarn

nodemangager

搭建部署Hadoop 之Yarn

验证 Yarn

# bin/hadoop fs -ls /input

Found 3 items

-rw-r--r-- 2 root supergroup 84854 2018-01-29 21:37 /input/LICENSE.txt

-rw-r--r-- 2 root supergroup 14978 2018-01-29 21:37 /input/NOTICE.txt

-rw-r--r-- 2 root supergroup 1366 2018-01-29 21:37 /input/README.txt

使用yarn 统计样本文件中单词出现频率

# ./bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount hdfs://master:9000/input hdfs://master:9000/output

查看结果

# ./bin/hadoop fs -cat hdfs://master:9000/output/*

Yarn 节点管理

[root@master ~] # cat /etc/hosts

192.168.4.1master

192.168.4.2 node1

192.168.4.3 node2

192.168.4.4 node3

192.168.4.5 newnode

[root@newnode ~]# rsync -azSH --delete master:/usr/local/hadoop /usr/local

[root@master hadoop]# ./sbin/start-yarn.sh

添加节点

[root@master hadoop]# ./bin/yarn node -list

18/01/28 21:06:57 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.4.1:8032

Total Nodes:3

Node-Id Node-State Node-Http-Address Number-of-Running-Containers

node1:33596 RUNNING node1:8042 0

node2:53475 RUNNING node2:8042 0

node3:34736 RUNNING node3:8042 0

[root@newnode hadoop]# sbin/yarn-daemon.sh start nodemanager

[root@master hadoop]# ./bin/yarn node -list

18/01/28 21:07:53 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.4.1:8032

Total Nodes:4

Node-Id Node-State Node-Http-Address Number-of-Running-Containers

newnode:39690 RUNNING newnode:8042 0

node1:33596 RUNNING node1:8042 0

node2:53475 RUNNING node2:8042 0

node3:34736 RUNNING node3:8042 0

删除节点

[root@newnode hadoop]# sbin/yarn-daemon.sh stop nodemanager

//不会立即删除

[root@master hadoop]# ./bin/yarn node -list

18/01/28 21:11:31 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.4.1:8032

Total Nodes:4

Node-Id Node-State Node-Http-Address Number-of-Running-Containers

newnode:39690 RUNNING newnode:8042 0

node1:33596 RUNNING node1:8042 0

node2:53475 RUNNING node2:8042 0

node3:34736 RUNNING node3:8042 0

//需要重新启动服务

[root@master hadoop]# ./sbin/stop-yarn.sh

[root@master hadoop]# ./sbin/start-yarn.sh

[root@master hadoop]# ./bin/yarn node -list

18/01/28 21:12:46 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.4.1:8032

Total Nodes:3

Node-Id Node-State Node-Http-Address Number-of-Running-Containers

node1:42010 RUNNING node1:8042 0

node2:55043 RUNNING node2:8042 0

node3:38256 RUNNING node3:8042 0

当前标题：搭建部署Hadoop之Yarn
本文来源：http://njwzjz.com/article/gigcep.html

NEWS

网站建设资讯

搭建部署Hadoop之Yarn

其他资讯