一、安裝準備
下載地址:http://archive.apache.org/dist/hbase/
參考文檔:http://hbase.apache.org/book.html
ssh免密登錄:https://blog.csdn.net/qq262593421/article/details/105325593
zookeeper安裝:https://blog.csdn.net/qq262593421/article/details/106955485
hadoop集羣安裝:https://blog.csdn.net/qq262593421/article/details/106956480
二、解壓安裝
1、解壓文件
cd /usr/local/hadoop
tar zxpf hbase-2.1.0-bin.tar.gz
2、創建軟鏈接
ln -s hbase-2.1.0 hbase
三、修改配置文件
regionservers
regionservers配置和hadoop的work一樣,hadoop的DataNode節點是哪個regionservers就是哪幾個
hadoop003
hadoop004
hadoop005
hbase-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<!--
<property>
<name>zookeeper.znode.parent</name>
<value>/hbase/master</value>
</property>
-->
<property>
<name>hbase.master</name>
<value>60000</value>
<!-- Hbase HA 方式下只需配置端口 -->
</property>
<property>
<name>hbase.tmp.dir</name>
<value>/data/cluster/hbase/tmp</value>
</property>
<property>
<name>hbase.rootdir</name>
<value>hdfs://ns1/hbase</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>hadoop001,hadoop002,hadoop003</value>
<!-- <value>hadoop001:2181,hadoop002:2181,hadoop003:2181</value> -->
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/usr/local/zookeeper/data</value>
</property>
<property>
<name>dfs.datanode.max.transfer.threads</name>
<value>4096</value>
</property>
<!--
<property>
<name>hbase.master</name>
<value>hadoop1</value>
</property>
-->
<!--
<property>
<name>hbase.masters</name>
<value>hadoop1,hadoop2</value>
<description>List of master rpc end points for the hbase cluster.</description>
</property>
-->
<property>
<name>hbase.unsafe.stream.capability.enforce</name>
<value>false</value>
</property>
<!--
<property>
<name>hbase.lease.recovery.dfs.timeout</name>
<value>23000</value>
<description>How much time we allow elapse between calls to recover lease.
Should be larger than the dfs timeout.</description>
</property>
<property>
<name>dfs.client.socket-timeout</name>
<value>10000</value>
<description>Down the DFS timeout from 60 to 10 seconds.</description>
</property>
<property>
<name>dfs.client.socket-timeout</name>
<value>10000</value>
<description>Down the DFS timeout from 60 to 10 seconds.</description>
</property>
<property>
<name>dfs.datanode.socket.write.timeout</name>
<value>10000</value>
<description>Down the DFS timeout from 8 * 60 to 10 seconds.</description>
</property>
<property>
<name>ipc.client.connect.timeout</name>
<value>3000</value>
<description>Down from 60 seconds to 3.</description>
</property>
-->
<!--
<property>
<name>ipc.client.connect.max.retries.on.timeouts</name>
<value>2</value>
<description>Down from 45 seconds to 3 (2 == 3 retries).</description>
</property>
<property>
<name>dfs.namenode.avoid.read.stale.datanode</name>
<value>true</value>
<description>Enable stale state in hdfs</description>
</property>
<property>
<name>dfs.namenode.stale.datanode.interval</name>
<value>20000</value>
<description>Down from default 30 seconds</description>
</property>
<property>
<name>dfs.namenode.avoid.write.stale.datanode</name>
<value>true</value>
<description>Enable stale state in hdfs</description>
</property>
-->
<!--
<property>
<name>hbase.security.authentication</name>
<value>simple</value>
</property>
<property>
<name>hbase.security.authorization</name>
<value>true</value>
</property>
<property>
<name>hbase.coprocessor.master.classes</name>
<value>org.apache.hadoop.hbase.security.access.AccessController</value>
</property>
<property>
<name>hbase.coprocessor.region.classes</name>
<value>org.apache.hadoop.hbase.security.access.AccessController</value>
</property>
<property>
<name>hbase.coprocessor.regionserver.classes</name>
<value>org.apache.hadoop.hbase.security.access.AccessController</value>
</property>
<property>
<name>hbase.security.authentication</name>
<value>simple</value>
</property>
<property>
<name>hbase.rpc.engine</name>
<value>org.apache.hadoop.hbase.ipc.SecureRpcEngine</value>
</property>
-->
<!-- HFile v3 Support -->
<property>
<name>hfile.format.version</name>
<value>3</value>
</property>
<!-- HBase Superuser -->
<property>
<name>hbase.superuser</name>
<value>hbase,admin,root,hdfs,zookeeper,hive,hadoop,hue,impala,spark,kylin</value>
</property>
<!-- geomesa-hbase -->
<property>
<name>hbase.coprocessor.user.region.classes</name>
<value>org.locationtech.geomesa.hbase.coprocessor.GeoMesaCoprocessor</value>
</property>
<property>
<name>hbase.table.sanity.checks</name>
<value>false</value>
</property>
<property>
<name>hbase.coprocessor.abortonerror</name>
<value>false</value>
</property>
<!-- adjust and optimize -->
<property>
<name>hfile.block.cache.size</name>
<value/>
<!-- <value>0.2</value> -->
<description>stofile的讀緩存佔用Heap的大小百分比。該值直接影響數據讀的性能當然是越大越好,如果寫比讀少很多,開到0.4-0.5也沒問題,如果讀寫均衡,設置爲0.3左右。如果寫比讀多,果斷使用默認就行。</description>
</property>
</configuration>
hbase-env.sh
hbase環境變量配置
#!/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
backup-masters
啓動hbase時會將配置的backup-masters節點作爲備用HMaster
hadoop001
hadoop002
四、環境變量配置
編輯 /etc/profile 文件
vim /etc/profile
添加一下內容
export HBASE_HOME=/usr/local/hadoop/hbase
export PATH=$PATH:$HBASE_HOME
五、啓動hbase
start-hbase.sh
六、驗證安裝
1、執行shell命令
hbase shell
create 'tb1','cmf1','cmf2','cmf3'
list
list_namespace
2、訪問web頁面