Hadoop-Yarn-HA集群搭建(搭建篇)
1.前提条件
我学习过程是一块一块深入的,在把hdfs基本弄懂以及HA成功的情况开始尝试搭建yarn的,建议在搭建前先去看一下转载的原理篇,懂了原理后搭建会很快的,再次强调一下hdfs我默认已经搭建成功了
2.搭建环境准备
- 1,主机环境:4台centos机器。
rtest-mysql-01: 主NN,ResourceManager 运行进程(NameNode,ResourceManager,DFSZKFailoverController)
主要运行nn和ResourceManager。
rtest-mysql-02:备NN,ResourceManager 运行程序(NameNode,DFSZKFailoverController,DataNode,ResourceManager,JournalNode,NodeManager,zookeeper)
备nn和ResourceManager,同时和03,04搭建了zookeeper集群和journalnode集群。
rtest-mysql-03:运行程序(DataNode,JournalNode,NodeManager,zookeeper)
数据节点
rtest-mysql-04:运行程序(DataNode,JournalNode,NodeManager,zookeeper)
数据节点
- 2,各主机详解
在hadoop2.X中通常由两个NameNode组成,一个处于active状态,另一个处于standby状态。Active NameNode对外提供服务,而Standby NameNode则不对外提供服务,仅同步active namenode的状态,以便能够在它失败时快速进行切换。hadoop2.0官方提供了两种HDFS HA的解决方案,一种是NFS,另一种是QJM(由cloudra提出,原理类似zookeeper)。这里我使用QJM完成。主备NameNode之间通过一组JournalNode同步元数据信息,一条数据只要成功写入多数JournalNode即认为写入成功。通常配置奇数个JournalNode
3.搭建过程
1.前提在强调一下
hdfs的ha已经成功,因为yarn的ha也是需要zkfc的,如果zkfc不没有成功,自然yarn切换也没有成功了。
2.mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
<description>The runtime framework for executing MapReduce jobs.
Can be one of local, classic or yarn.
</description>
</property> <!-- jobhistory properties -->
<property>
<name>mapreduce.jobhistory.address</name>
<value>0.0.0.0:10020</value>
<description>MapReduce JobHistory Server IPC host:port</description>
</property> <property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>0.0.0.0:19888</value>
<description>MapReduce JobHistory Server Web UI host:port</description>
</property> </configuration>
3.yarn-site.xml 主要的配置文件
<?xml version="1.0"?>
<!--
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. See accompanying LICENSE file.
-->
<configuration> <!-- Site specific YARN configuration properties -->
<!-- Resource Manager Configs --> <!--rm失联后重新链接的时间-->
<property>
<name>yarn.resourcemanager.connect.retry-interval.ms</name>
<value>2000</value>
</property> <!--开启resourcemanagerHA,默认为false-->
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property> <!--配置resourcemanager-->
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property> <property>
<name>ha.zookeeper.quorum</name>
<value>rtest-mysql-02:2181,rtest-mysql-03:2181,rtest-mysql-04:2181</value>
</property> <!--开启故障自动切换-->
<property>
<name>yarn.resourcemanager.ha.automatic-failover.enabled</name>
<value>true</value>
</property> <property>
<description>The hostname of the RM.</description>
<name>yarn.resourcemanager.hostname</name>
<value>rtest-mysql-01</value>
</property> <property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>rtest-mysql-01</value>
</property> <property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>rtest-mysql-02</value>
</property> <!--
注意:一般都喜欢把配置好的文件远程复制到其它机器上,但这个在YARN的另一个机器上一定要修改
-->
<property>
<name>yarn.resourcemanager.ha.id</name>
<value>rm1</value>
<description>If we want to launch more than one RM in single node,we need this configuration</description>
</property> <!--开启自动恢复功能-->
<property>
<name>yarn.resourcemanager.recovery.enabled</name>
<value>true</value>
</property> <!--配置与zookeeper的连接地址-->
<property>
<name>yarn.resourcemanager.zk-state-store.address</name>
<value>rtest-mysql-02:2181,rtest-mysql-03:2181,rtest-mysql-04:2181</value>
</property> <property>
<name>yarn.resourcemanager.store.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
</property> <property>
<name>yarn.resourcemanager.zk-address</name>
<value>rtest-mysql-02:2181,rtest-mysql-03:2181,rtest-mysql-04:2181</value>
</property> <property>
<name>yarn.resourcemanager.cluster-id</name>
<value>yarn-cluster</value>
</property> <!--schelduler失联等待连接时间-->
<property>
<name>yarn.app.mapreduce.am.scheduler.connection.wait.interval-ms</name>
<value>5000</value>
</property> <!--注意:一般都喜欢把配置好的文件远程复制到其它机器上,但这个在YARN的另一个机器上一定要修改-->
<property>
<description>The address of the applications manager interface in the RM.</description>
<name>yarn.resourcemanager.address.rm1</name>
<value>rtest-mysql-01:8032</value>
</property> <property>
<description>The address of the scheduler interface.</description>
<name>yarn.resourcemanager.scheduler.address.rm1</name>
<value>rtest-mysql-01:8030</value>
</property> <property>
<description>The http address of the RM web application.</description>
<name>yarn.resourcemanager.webapp.address.rm1</name>
<value>rtest-mysql-01:8088</value>
</property> <property>
<description>The https adddress of the RM web application.</description>
<name>yarn.resourcemanager.webapp.https.address.rm1</name>
<value>rtest-mysql-01:8090</value>
</property> <property>
<name>yarn.resourcemanager.resource-tracker.address.rm1</name>
<value>rtest-mysql-01:8031</value>
</property> <property>
<description>The address of the RM admin interface.</description>
<name>yarn.resourcemanager.admin.address.rm1</name>
<value>rtest-mysql-01:8033</value>
</property> <property>
<name>yarn.resourcemanager.ha.admin.address.rm1</name>
<value>rtest-mysql-01:23142</value>
</property> <!--*******************************************************--> <property>
<description>the valid service name should only contain a-zA-Z0-9_ and can not start with numbers</description>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property> <property>
<description>The class to use as the resource scheduler.</description>
<name>yarn.resourcemanager.scheduler.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>
</property> <property>
<name>yarn.nodemanager.log-dirs</name>
<value>/home/biedong/hadoop/yarn/log</value>
</property> <property>
<name>mapreduce.shuffle.port</name>
<value>23080</value>
</property> <property>
<description>fair-scheduler conf location</description>
<name>yarn.scheduler.fair.allocation.file</name>
<value>/home/biedong/hadoop-2.7.0/etc/hadoop/fairscheduler.xml</value>
</property> <property>
<description>List of directories to store localized files in. An
application's localized file directory will be found in:
${yarn.nodemanager.local-dirs}/usercache/${user}/appcache/application_${appid}.
Individual containers' work directories, called container_${contid}, will
be subdirectories of this.
</description>
<name>yarn.nodemanager.local-dirs</name>
<value>/home/biedong/hadoop/yarn/local</value>
</property> <property>
<description>Whether to enable log aggregation</description>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
</property> <property>
<description>Where to aggregate logs to.</description>
<name>yarn.nodemanager.remote-app-log-dir</name>
<value>/tmp/logs</value>
</property> <property>
<description>Amount of physical memory, in MB, that can be allocated for containers.</description>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>8192</value>
</property> <property>
<description>Number of CPU cores that can be allocated for containers.</description>
<name>yarn.nodemanager.resource.cpu-vcores</name>
<value>4</value>
</property> <!--故障处理类-->
<property>
<name>yarn.client.failover-proxy-provider</name>
<value>org.apache.hadoop.yarn.client.ConfiguredRMFailoverProxyProvider</value>
</property> <property>
<name>yarn.resourcemanager.ha.automatic-failover.zk-base-path</name>
<value>/yarn-leader-election</value>
<description>Optionalsetting.Thedefaultvalueis/yarn-leader-election</description>
</property> </configuration>
详细配置
4.启动YARN
你可以使用以下命令分别启动ResourceManager和NodeManager:
sbin/yarn-daemon.sh start resourcemanager
sbin/yarn-daemon.sh start nodemanager(如果有多个datanode,需使用yarn-daemons.sh)
或者一次启动过:sbin/start-yarn.sh
5.验证是否成功
输入命令验证主备关系:
yarn rmadmin -getServiceState rm1
yarn rmadmin -getServiceState rm2
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" alt="" />
在网页输入:http:rtest-mysql-02:8088,是否能打开这个页面
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6.主备自动切换验证
访问rm1节点的nodemanager会提示
This is standby RM. Redirecting to the current active RM: http://rtest-mysql-01:8088/cluster/apps
下面KILL掉rm2的resourcemanager
再次验证主备关系:
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alt="" />
7.运行应用程序
执行如下:bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.0.jar pi 20 10
如果程序没有明显报错,证明安装成功!
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