Hbase和Hadoop的内存参数调优

1.hadoop的内存配置调优

mapred-site.xml的内存调整
<property>
<name>mapreduce.map.memory.mb</name>
<value>1536</value>
</property>
<property>
<name>mapreduce.map.java.opts</name>
<value>-Xmx1024M</value>
</property>
<property>
<name>mapreduce.reduce.memory.mb</name>
<value>3072</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>2048</value>
    <discription>每个节点可用内存,单位MB</discription>
  </property>
  
  <property>
    <name>yarn.scheduler.minimum-allocation-mb</name>
    <value>1024</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>2048</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=2048
export HADOOP_HEAPSIZE_MIN=2048

2.Hbase的参数调优

hbase的内存调整hbase-env.sh
export HBASE_HEAPSIZE=8G

3.数据的导入导出

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

 

来源：https://www.cnblogs.com/hixiaowei/p/11424400.html