mapred-site.xml的内存调整

<property>

<name>mapreduce.map.memory.mb</name>

<value></value>

</property>

<property>

<name>mapreduce.map.java.opts</name>

<value>-Xmx1024M</value>

</property>

<property>

<name>mapreduce.reduce.memory.mb</name>

<value></value>

</property>

<property>

<name>mapreduce.reduce.java.opts</name>

<value>-Xmx2560M</value>

</property>

yarn-site.xml

  <property>

    <name>yarn.nodemanager.resource.memory-mb</name>

    <value></value>

    <discription>每个节点可用内存,单位MB</discription>

  </property>

  <property>

    <name>yarn.scheduler.minimum-allocation-mb</name>

    <value></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></value>

    <discription>单个任务可申请最大内存，默认8192MB</discription>

  </property>

hadoop的内存调整hadoop-env.sh

export HADOOP_HEAPSIZE_MAX=

export HADOOP_HEAPSIZE_MIN=

hbase的内存调整hbase-env.sh

export HBASE_HEAPSIZE=8G

hbase数据的导出

hbase org.apache.hadoop.hbase.mapreduce.Export NS1.GROUPCHAT /do1/GROUPCHAT

hdfs dfs -get /do1/GROUPCHAT /opt/GROUPCHAT

尝试删除数据

hdfs dfs -rm  -r /do1/GROUPCHAT

hbase数据的导入

hdfs dfs -put /opt/GROUPCHAT /do1/GROUPCHAT

hdfs dfs -ls /do1/GROUPCHAT

hbase org.apache.hadoop.hbase.mapreduce.Import NS1.GROUPCHAT /do1/GROUPCHAT

[root@do2cloud01 conf]# pwd

/do1cloud/hbase-2.0./conf

[root@do1cloud01 conf]# cat  backup-masters

do1cloud02

10.0.0.99: hbase控制台

10.0.0.99: Hadoop 前端控制台

10.0.0.99:  集群 前端控制台