本文主要是介绍hadoop的yarn部署，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
MapReduce配置文件
mapred-env.sh,新增环境变量
[root@hadoop1 hadoop]# vi /export/server/hadoop/etc/hadoop/mapred-env.sh
export JAVA_HOME=/export/server/jdk
export HAPOOD_JOB_HISTORYSERVER_HEAPSIZE=1000
export HAPOOD_MAPRED_ROOT_LOGGER=INFO,RFAmapred-site.xml,新增环境变量
[root@hadoop1 hadoop]# vi /export/server/hadoop/etc/hadoop/mapred-site.xml
<configuration><property><name>mapreduce.framework.name</name><value>yarn</value><description>运行框架设置</description></property><property><name>mapreduce.jobhistory.address</name><value>hadoop1:10020</value><description>历史服务器通讯端口</description></property><property><name>mapreduce.jobhistory.webapp.address</name><value>hadoop1:19888</value><description>历史服务器web地址</description></property><property><name>mapreduce.jobhistory.intermediate-done-dir</name><value>/data/mspReduceHistory/temp</value><description>历史信息在hdfs的记录路径</description></property><property><name>yarn.app.mapreduce.am.env</name><value>/data/mspReduceHistory/done</value><description>历史信息在hdfs的记录路径</description></property><property><name>yarn.app.mapreduce.am.env</name><value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value><description>MapReduce Home 设置为 HADOOP_HOME</description></property><property><name>mapreduce.map.env</name><value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value><description>MapReduce Home 设置为 HADOOP_HOME</description></property><property><name>mapreduce.reduce.env</name><value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value><description>MapReduce Home 设置为 HADOOP_HOME</description></property>
</configuration>yarn配置文件
yarn-env.sh
[root@hadoop1 hadoop]# mkdir -p /data/hadoopLog
[root@hadoop1 hadoop]# vi /export/server/hadoop/etc/hadoop/yarn-env.sh
export JAVA_HOME=/export/server/jdk
export HADOOP_HOME=/export/server/hadoop
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export HADOOP_LOG_DIR=/data/hadoopLogyarn-site.xml
[root@hadoop1 data]# mkdir -p /data/nodeManagerLocal
[root@hadoop1 data]# mkdir -p /data/nodeManagerLog
[root@hadoop1 data]# vi /export/server/hadoop/etc/hadoop/yarn-site.xml
<configuration><property><name>yarn.resourcemanager.hostname</name><value>hadoop1</value><description>ResourceManager设置节点</description></property><property><name>yarn.nodemanager.local-dirs</name><value>/data/nodeManagerLocal</value><description>ResourceManager中间数据库本地存储路径</description></property><property><name>yarn.nodemanager.log-dirs</name><value>/data/nodeManagerLog</value><description>ResourceManager数据日志本地存储路径</description></property><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value><description>为MapReduce程序开启Shuffle服务</description></property><property><name>yarn.log.server.url</name><value>http://hadoop1:19888/jobhistory/log</value><description>历史服务器url</description></property><property><name>yarn.web-proxy.address</name><value>hadoop1:8089</value><description>代理服务器地址</description></property><property><name>yarn.log-aggregation-enable</name><value>true</value><description>开始日志聚合</description></property><property><name>yarn.nodemanager.remote-app-log-dir</name><value>/tmp/logs</value><description>程序日志hdfs的存储路径</description></property><property><name>yarn.resourcemanager.scheduler.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value><description>选择公平调度器</description></property>
</configuration> 同步到hadoop2,hadoop3主机
[root@hadoop1 hadoop]# cd /export/server/hadoop/etc/hadoop
[hadoop@hadoop1 hadoop]$ scp mapred-env.sh mapred-site.xml yarn-env.sh yarn-site.xml hadoop2:`pwd`/
[hadoop@hadoop1 hadoop]$ scp mapred-env.sh mapred-site.xml yarn-env.sh yarn-site.xml hadoop3:`pwd`/集群启动命令
chown -R hadoop:hadoop /data
#一键启动yarn集群
start-yarn.sh
#一键停止yarn集群
stop-yarn.sh
#在当前机器，单独启动和停止进程
yarn --daemon start|stop resourcemanager|nodemanager|proxyserver
#历史服务器启动和停止
mapred --deamon start|stop historyserver这篇关于hadoop的yarn部署的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
