dm/container/conf/java/hadoop/yarn-site.xml

<?xml version="1.0"?>
<configuration>
    <property>  
       <name>yarn.resourcemanager.hostname</name>  
       <value>data-hadoop</value>  
       <description>The hostname of the RM.</description>  
    </property> 
    <property>
        <name>yarn.nodemanager.resource.cpu-vcores</name>
        <value>2</value>
        <discription>cpu核心数，务必根据实际情况修改</discription>
    </property>
    <property>
        <name>yarn.nodemanager.resource.memory-mb</name>
        <value>1024</value>
        <discription>每个节点可用内存,单位MB,如果一直提示state: ACCEPTED,请增大此值</discription>
    </property>
    <property>
        <name>yarn.scheduler.minimum-allocation-mb</name>
        <value>512</value>
        <discription>单个任务可申请最少内存，默认1024MB</discription>
    </property>
    <property>
        <name>yarn.scheduler.maximum-allocation-mb</name>
        <value>1024</value>
        <discription>单个任务可申请最大内存，默认8192MB</discription>
    </property>
    <property>
        <name>yarn.app.mapreduce.am.resource.mb</name>
        <value>1024</value>
        <discription>AM能够申请的最大内存，默认值为1536MB</discription>
    </property>
    <property>
        <name>yarn.nodemanager.pmem-check-enabled</name>
        <value>false</value>
    </property>
    <property>
        <name>yarn.nodemanager.vmem-check-enabled</name>
        <value>false</value>
    </property>
    <!--property>
        <name>yarn.resourcemanager.scheduler.class</name>
        <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
    </property>
    <property>
        <name>yarn.resourcemanager.address</name>
        <value>8032</value>
    </property>
    <property>
        <name>yarn.resourcemanager.scheduler.address</name>
        <value>8030</value>
    </property>
    <property>
        <name>yarn.resourcemanager.resource-tracker.address</name>
        <value>8031</value>
    </property>
    <property>
        <name>yarn.resourcemanager.admin.address</name>
        <value>8033</value>
    </property>
    <property>
        <name>yarn.resourcemanager.webapp.address</name>
        <value>8088</value>
    </property>
    <property>
        <name>yarn.nodemanager.localizer.address</name>
        <value>8040</value>
    </property>
    <property>
        <name>yarn.nodemanager.address</name>
        <value>8041</value>
    </property>
    <property>
        <name>yarn.nodemanager.webapp.address</name>
        <value>8042</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>10020</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>19888</value>
    </property>
    <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.scheduler.class</name>
        <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>
    </property>
    <property>
        <name>yarn.scheduler.fair.preemption</name>
        <value>true</value>
    </property>
    <property>
        <name>yarn.scheduler.fair.preemption.cluster-utilization-threshold</name>
        <value>1.0</value>
    </property-->
    <property>
        <name>yarn.resourcemanager.am.max-attempts</name>
        <value>10000</value>
    </property>
</configuration>