我是Hadoop的初学者,我尝试使用MR将一些数据导入HBase,但失败。控制台显示错误信息:无法启动MapReduce任务。无法找到或加载主类org.apache.hadoop.mapreduce.v2.app.MRAppMaster
Container exited with a non-zero exit code 1. Last 4096 bytes of stderr :
Error: Could not find or load main class org.apache.hadoop.mapreduce.v2.app.MRAppMaster
Here is the screenshot of the whole error log page
我通过谷歌和计算器找到了一些解决方案,大部分的解决方案表示,它正在与mapred-site.xml中和纱线-site.xml中的配置,但是,我发现我没有错。 mapreduce.application.classpath有问题吗?
mapred-site.xml中
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>master:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>master:19888</value>
</property>
<property>
<name>mapreduce.application.classpath</name>
<value>
/usr/local/hadoop/etc/hadoop,
/usr/local/hadoop/share/hadoop/common/*,
/usr/local/hadoop/share/hadoop/common/lib/*,
/usr/local/hadoop/share/hadoop/hdfs/*,
/usr/local/hadoop/share/hadoop/hdfs/lib/*,
/usr/local/hadoop/share/hadoop/mapreduce/*,
/usr/local/hadoop/share/hadoop/mapreduce/lib/*,
/usr/local/hadoop/share/hadoop/yarn/*,
/usr/local/hadoop/share/hadoop/yarn/lib/*
</value>
</property>
<property>
<name>mapreduce.app-submisson.cross-platform</name>>
<value>true</value>>
</property>>
</configuration>
纱的site.xml
<configuration>
<property>
<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>
<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>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>master:8033</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>master:8088</value>
</property>
<property>
<name>yarn.application.classpath</name>
<value>
/usr/local/hadoop/etc/hadoop,
/usr/local/hadoop/share/hadoop/common/*,
/usr/local/hadoop/share/hadoop/common/lib/*,
/usr/local/hadoop/share/hadoop/hdfs/*,
/usr/local/hadoop/share/hadoop/hdfs/lib/*,
/usr/local/hadoop/share/hadoop/mapreduce/*,
/usr/local/hadoop/share/hadoop/mapreduce/lib/*,
/usr/local/hadoop/share/hadoop/yarn/*,
/usr/local/hadoop/share/hadoop/yarn/lib/*
</value>
</property>
</configuration>
这些属性是否可用于所有从属节点和提交作业的客户端节点? – franklinsijo
当然可以。已经应用于Namenode和2 Datanodes。 – haohuily
不确定这是否会解决,你是否可以尝试在环境中设置变量'HADOOP_MAPRED_HOME'(如果没有设置) – franklinsijo