yarn启动前需要配置两个文件:mapred-site.xml 和 yarn-site.xml
mapred-site.xml:(master配置即可) <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property>
yarn-site.xml:(master 和 slavex 都需要配置) <configuration> <!-- Site specific YARN configuration properties --> <!-- 下面一个配置master配置即可 (resourcemanager节点) --> <property> <name>yarn.resourcemanager.hostname</name> <value>master</value> </property> <!--开始出现了mapreduce_shuffle does not exist 错误,是因为我在slave下没有配置下面两项(nodemanager节点配置)--> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> <property> <name>yarn.nodemanager.auxservices.mapreduce.shuffle.class</name> <value>org.apache.hadoop.mapred.ShuffleHandler</value> </property> <!--下面三个配置后,在masterIP:8088下才会显示slave下的 NodeManager 的情况--> <property> <name>yarn.resourcemanager.address</name> <value>master:8032</value> </property> <property> <name>yarn.resourcemanager.scheduler.address</name> <value>master:8030</value> </property> <property> <name>yarn.resourcemanager.resource-tracker.address</name> <value>master:8031</value> </property> </configuration>
然后启动yarn:start-yarn.sh:
运行自带的 wordcount 计算:
查看运行结果: