Hbase和Hadoop的内存参数调优 + 前端控制台 - 配置backup master和regionserver+hadoop的namenode启动命令

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>每一个节点可用内存,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

 4.两个master，再每个node加配置

backup-masters

[root@do2cloud01 conf]# pwd
/do1cloud/hbase-2.0.5/conf [root@do1cloud01 conf]# cat  backup-masters do1cloud02

 5.经过控制台就能够看出参数设置是否生效

10.0.0.99:16010 hbase控制台 10.0.0.99:9870 Hadoop 前端控制台 10.0.0.99:8088  集群 前端控制台

6.regionserver

[root@do2cloud01 conf]# cat regionservers
do1cloud02
do1cloud03
do1cloud04
do1cloud05