大数据集群之hbase2.1.0高可用安装配置

cd /usr/local/hadoop
tar zxpf hbase-2.1.0-bin.tar.gz

ln -s hbase-2.1.0 hbase

hadoop003
hadoop004
hadoop005

	  hbase.master
	  60000
	  
    
  	
      hbase.tmp.dir
      /home/data/cluster/hbase/tmp
  	
  	
	  hbase.rootdir
	  hdfs://ns1/hbase
	
	
	  hbase.cluster.distributed
	  true
	
	
	  hbase.zookeeper.property.clientPort
	  2181
	
	
	  hbase.zookeeper.quorum
	  hadoop001,hadoop002,hadoop003
	  
	
	
	  hbase.zookeeper.property.dataDir
	  /usr/local/zookeeper/data
	
	
	  dfs.datanode.max.transfer.threads
	  4096
	
	
	
    
	  hbase.unsafe.stream.capability.enforce
	  false
	
	

	

	

	
	
	  hfile.format.version
	  3
	
	
	
	  hbase.superuser
	  hbase,admin,root,hdfs,zookeeper,hive,hadoop,hue,impala,spark,kylin
	
	
	
	
    	hbase.coprocessor.user.region.classes
    	org.locationtech.geomesa.hbase.coprocessor.GeoMesaCoprocessor
  	
	  
	   hbase.table.sanity.checks  
	   false  
	
	  
	   hbase.coprocessor.abortonerror  
	   false  
	

	 
	  
	   hfile.block.cache.size 
	   
	
	   stofile的读缓存占用Heap的大小百分比。该值直接影响数据读的性能当然是越大越好，如果写比读少很多，开到0.4-0.5也没问题，如果读写均衡，设置为0.3左右。如果写比读多，果断使用默认就行。

#!/usr/bin/env bash

export HBASE_OPTS="-XX:+UseConcMarkSweepGC -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -Xloggc:/usr/local/hadoop/hbase/logs/jvm-gc-hbase.log"

export JAVA_HOME=/usr/java/jdk1.8
export HBASE_HEAPSIZE=4G

export HADOOP_HOME=/usr/local/hadoop/hadoop
export HBASE_HOME=/usr/local/hadoop/hbase
export HBASE_CLASSPATH=/usr/local/hadoop/hadoop/etc/hadoop
export HBASE_MANAGES_ZK=false
export HBASE_PID_DIR=/var/hadoop/pids

hadoop001
hadoop002

vim /etc/profile

export HBASE_HOME=/usr/local/hadoop/hbase
export PATH=$PATH:$HBASE_HOME

start-hbase.sh

hbase shell

create 'tb1','cmf1','cmf2','cmf3'
list
list_namespace