YARN 的配置

<configuration>
	<property>
		<name>fs.defaultFS</name>
		<value>hdfs://bigdata:9000</value>
	</property>
	<property>
		<name>hadoop.tmp.dir</name>
		<value>/home/bigdata/hadoopdata</value>
	</property>
	<property>
		<name>hadoop.proxyuser.bigdata.hosts</name>
		<value>*</value>
	</property>
	<property>
		<name>hadoop.proxyuser.bigdata.groups</name>
		<value>*</value>
	</property>
</configuration>

<configuration>
	<property>
		<name>yarn.nodemanager.aux-services</name>
		<value>mapreduce_shuffle</value>
	</property>
	<property>
		<name>yarn.resourcemanager.address</name>
		<value>bigdata:18040</value>
	</property>
	<property>
		<name>yarn.resourcemanager.scheduler.address</name>
		<value>bigdata:18030</value>
	</property>
	<property>
		<name>yarn.resourcemanager.resource-tracker.address</name>
		<value>bigdata:18025</value>
	</property>
	<property>
		<name>yarn.resourcemanager.admin.address</name>
		<value>bigdata:18141</value>
	</property>
	<property>
		<name>yarn.resourcemanager.webapp.address</name>
		<value>bigdata:18088</value>
	</property>
	<property>
		<name>yarn.resourcemanager.scheduler.class</name>
		<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
	</property>
	<property>
		<name>yarn.log-aggregation-enable</name>
		<value>true</value>
	</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>
</configuration>

<configuration>
	<property>
		<name>mapreduce.framework.name</name>
		<value>yarn</value>
	</property>
	<property>
		<name>mapreduce.jobhistory.done-dir</name> 
		<value>/user/history/done</value> 
	</property> 
	<property> 
		<name>mapreduce.jobhistory.intermediate-done-dir</name> 
		<value>/user/history/done_intermediate</value> 
	</property>
	<property>
		<name>mapreduce.jobhistory.address</name>
		<value>bigdata:10020</value>
	</property>
	<property>
		<name>mapreduce.jobhistory.webapp.address</name>
		<value>bigdata:19888</value>
	</property>
</configuration>

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<configuration>

  <property>
    <name>yarn.scheduler.capacity.maximum-applications</name>
    <value>10000</value>
    <description>
      Maximum number of applications that can be pending and running.
    </description>
  </property>

  <property>
    <name>yarn.scheduler.capacity.maximum-am-resource-percent</name>
    <value>0.5</value>
    <description>
      Maximum percent of resources in the cluster which can be used to run 
      application masters i.e. controls number of concurrent running
      applications.
    </description>
  </property>

  <property>
    <name>yarn.scheduler.capacity.resource-calculator</name>
    <value>org.apache.hadoop.yarn.util.resource.DefaultResourceCalculator</value>
    <description>
      The ResourceCalculator implementation to be used to compare 
      Resources in the scheduler.
      The default i.e. DefaultResourceCalculator only uses Memory while
      DominantResourceCalculator uses dominant-resource to compare 
      multi-dimensional resources such as Memory, CPU etc.
    </description>
  </property>

  <property>
    <name>yarn.scheduler.capacity.root.queues</name>
    <value>etl,report,default</value>
    <description>
      The queues at the this level (root is the root queue).
    </description>
  </property>

  <property>
    <name>yarn.scheduler.capacity.root.default.capacity</name>
    <value>40</value>
    <description>Default queue target capacity.</description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.etl.capacity</name>
    <value>30</value>
    <description>etl queue target capacity.</description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.report.capacity</name>
    <value>30</value>
    <description>report queue target capacity.</description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.default.user-limit-factor</name>
    <value>1</value>
    <description>
      Default queue user limit a percentage from 0.0 to 1.0.
    </description>
  </property>

  <property>
    <name>yarn.scheduler.capacity.root.etl.user-limit-factor</name>
    <value>1</value>
    <description>
      etl queue user limit a percentage from 0.0 to 1.0.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.report.user-limit-factor</name>
    <value>1</value>
    <description>
      report queue user limit a percentage from 0.0 to 1.0.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.default.maximum-capacity</name>
    <value>100</value>
    <description>
      The maximum capacity of the default queue. 
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.etl.maximum-capacity</name>
    <value>100</value>
    <description>
      The maximum capacity of the etl queue.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.report.maximum-capacity</name>
    <value>100</value>
    <description>
      The maximum capacity of the report queue.
    </description>
  </property>

  <property>
    <name>yarn.scheduler.capacity.root.default.state</name>
    <value>RUNNING</value>
    <description>
      The state of the default queue. State can be one of RUNNING or STOPPED.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.etl.state</name>
    <value>RUNNING</value>
    <description>
      The state of the etl queue. State can be one of RUNNING or STOPPED.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.report.state</name>
    <value>RUNNING</value>
    <description>
      The state of the report queue. State can be one of RUNNING or STOPPED.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.default.acl_submit_applications</name>
    <value>*</value>
    <description>
      The ACL of who can submit jobs to the default queue.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.etl.acl_submit_applications</name>
    <value>*</value>
    <description>
      The ACL of who can submit jobs to the etl queue.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.report.acl_submit_applications</name>
    <value>*</value>
    <description>
      The ACL of who can submit jobs to the report queue.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.default.acl_administer_queue</name>
    <value>*</value>
    <description>
      The ACL of who can administer jobs on the default queue.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.etl.acl_administer_queue</name>
    <value>*</value>
    <description>
      The ACL of who can administer jobs on the etl queue.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.root.report.acl_administer_queue</name>
    <value>*</value>
    <description>
      The ACL of who can administer jobs on the report queue.
    </description>
  </property>
  <property>
    <name>yarn.scheduler.capacity.node-locality-delay</name>
    <value>40</value>
    <description>
      Number of missed scheduling opportunities after which the CapacityScheduler 
      attempts to schedule rack-local containers. 
      Typically this should be set to number of nodes in the cluster, By default is setting 
      approximately number of nodes in one rack which is 40.
    </description>
  </property>

  <property>
    <name>yarn.scheduler.capacity.queue-mappings</name>
    <value></value>
    <description>
      A list of mappings that will be used to assign jobs to queues
      The syntax for this list is [u|g]:[name]:[queue_name][,next mapping]*
      Typically this list will be used to map users to queues,
      for example, u:%user:%user maps all users to queues with the same name
      as the user.
    </description>
  </property>

  <property>
    <name>yarn.scheduler.capacity.queue-mappings-override.enable</name>
    <value>false</value>
    <description>
      If a queue mapping is present, will it override the value specified
      by the user? This can be used by administrators to place jobs in queues
      that are different than the one specified by the user.
      The default is false.
    </description>
  </property>

</configuration>

/opt/hadoop-2.7.4/sbin/start-dfs.sh

/opt/hadoop-2.7.4/sbin/start-yarn.sh

/opt/hadoop-2.7.4/sbin/mr-jobhistory-daemon.sh start historyserver