一.Zookeeper正常部署

Zookeeper集群的正常部署并启动

二.Hadoop正常部署

Hadoop集群的正常部署并启动

三.Hbase部署

1.下载

下载地址：https://hbase.apache.org/downloads.html

2.解压

当前安装版本为hbase-2.0.5,将Hbase解压至指定目录，改名为hbase

tar -zxvf hbase-2.0.5-bin.tar.gz -C /opt/module
mv /opt/module/hbase-2.0.5 /opt/module/hbase

3.相关配置

1）配置环境变量

修改my_env.sh

sudo vim /etc/profile.d/my_env.sh

添加以下内容

#HBASE_HOME
export HBASE_HOME=/opt/module/hbase
export PATH=$PATH:$HBASE_HOME/bin

source一下

source /etc/profile

将my_env.sh分发其他节点，都source一下

xsync /etc/profile.d/my_env.sh
source /etc/profile

2）修改hbase-env.sh

修改/hbase/conf/hbase-env.sh添加以下内容

export HBASE_MANAGES_ZK=false

3）修改hbase-site.xml

修改成以下内容

hbase.rootdir: 在hdfs的数据存储路径

hbase.zookeeper.quorum: zookeeper集群节点

	<property>
		<name>hbase.rootdir</name>
		<value>hdfs://hadoop102:8020/HBase</value>
	</property>

	<property>
		<name>hbase.cluster.distributed</name>
		<value>true</value>
	</property>

	<property>
		<name>hbase.zookeeper.quorum</name>
		<value>hadoop102,hadoop103,hadoop104</value>
	</property>
	<property>
         <name>hbase.unsafe.stream.capability.enforce</name>
         <value>false</value>
    </property>

4）修改regionservers文件

Hregionserver节点配置，添加以下内容

hadoop102
hadoop103
hadoop104

4.分发文件

xsync hbase/

5.启动、关闭

方式一：群起

[hadoop@hadoop102 hbase]$ bin/start-hbase.sh
对应的停止服务：
[hadoop@hadoop102 hbase]$ bin/stop-hbase.sh

方式二：各节点单独启动

[hadoop@hadoop102 hbase]$ bin/hbase-daemon.sh start master
[hadoop@hadoop102 hbase]$ bin/hbase-daemon.sh start regionserver

注：在哪个节点启动master，哪个节点就是Hmaster。

提示：如果集群之间的节点时间不同步，会导致regionserver无法启动，抛出ClockOutOfSyncException异常。

修复方法

a、同步时间服务

b、属性：hbase.master.maxclockskew设置更大的值

<property>
        <name>hbase.master.maxclockskew</name>
        <value>180000</value>
        <description>Time difference of regionserver from master</description>
</property>

6.验证

启动hbase（先启动zookeeper和hdfs）

[hadoop@hadoop102 ~]$ start-hbase.sh 
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/module/hbase/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/module/hadoop-3.1.3/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
running master, logging to /opt/module/hbase/logs/hbase-atguigu-master-hadoop102.out
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/module/hbase/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/module/hadoop-3.1.3/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
hadoop104: running regionserver, logging to /opt/module/hbase/logs/hbase-atguigu-regionserver-hadoop104.out
hadoop103: running regionserver, logging to /opt/module/hbase/logs/hbase-atguigu-regionserver-hadoop103.out
hadoop102: running regionserver, logging to /opt/module/hbase/logs/hbase-atguigu-regionserver-hadoop102.out
hadoop103: running master, logging to /opt/module/hbase/logs/hbase-atguigu-master-hadoop103.out

jps看一下

[hadoop@hadoop102 ~]$ myjps
================  hadoop102  =====================
3364 NameNode
3497 DataNode
24106 Jps
3117 QuorumPeerMain
23678 HRegionServer
23487 HMaster
================  hadoop103  =====================
2024 DataNode
1882 QuorumPeerMain
11037 HRegionServer
11533 Jps
================  hadoop104  =====================
9536 Jps
1879 QuorumPeerMain
9290 HRegionServer
2124 SecondaryNameNode
2014 DataNode

访问页面：http://hadoop102:16010

四.HMaster的高可用

目的：增加hadoop103作为Hmaster的备用节点

1）在hadoop102关闭hbase集群

stop-hbase.sh

2）在%hbase_home%/conf 下增加backup-masters文件

 vim hbase/conf/backup-masters

添加以下内容

hadoop103

3）将backup-masters文件分发至其他节点

xsync hbase/conf/backup-masters

4）在hadoop102启动集群

start-hbase.sh

5）观察web页面：

http://hadoop102:16010

http://hadoop103:16010

6）验证

kill掉hadoop102的hmaster

[hadoop@hadoop102 module]$ jps
3364 NameNode
3497 DataNode
3117 QuorumPeerMain
23678 HRegionServer
23487 HMaster
24239 Jps
[hadoop@hadoop102 module]$ kill -9 23487

观察hadoop103