Hbase 集群的安装部署

部署集群：

192.168.20.11 node1
192.168.20.12 node2
192.168.20.13 node3

1、下载HBase二进制源码包

在node1，node2，node3上操作

[hadoop@node1 ~]$ cd /usr/local
[hadoop@node1 local]$ sudo wget https://archive.apache.org/dist/hbase/2.4.8/hbase-2.4.8-bin.tar.gz
[hadoop@node1 local]$ sudo tar -xvf hbase-2.4.8-bin.tar.gz
[hadoop@node1 local]$ sudo ln -s hbase-2.4.8 hbase
[hadoop@node1 local]$ sudo  chown -R  hadoop:hadoop hbase
[hadoop@node1 local]$ sudo  chown -R  hadoop:hadoop hbase-2.4.8

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2、配置环境变量

[hadoop@node1 conf]$ cd /usr/local/hbase/conf
[hadoop@node1 conf]$ vim conf/hbase-env.sh
export JAVA_HOME=/usr/local/jdk
export HBASE_HEAPSIZE=4G
export HBASE_MANAGES_ZK=false
export HBASE_PID_DIR=/data/hbase

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3、配置ZooKeeper和Hbase配置项

在node1，node2，node3上操作

[hadoop@node1 conf]$ cd /usr/local/hbase/conf
# 配置ZooKeeper和Hbase配置项
# 将 hbase-site.xml 中的内容替换为如下内容
[hadoop@node1 conf]$ vim hbase-site.xml 


 
 <!-- hbase是否部署为集群模式  -->
  <property>
    <name>hbase.cluster.distributed</name>
    <value>true</value>
  </property>
  <!--zookeeper 集群ip -->
  <property>
    <name>hbase.zookeeper.quorum</name>
    <value>node1,node2,node3</value>
  </property>
  <!--zookeeper data dir -->
  <property>
    <name>hbase.zoopkeeper.property.dataDir</name>
    <value>/data/zookeeper/data</value> 
  </property>
  <!--要把hbase的数据存储hdfs上的路径 -->
  <property>
    <name>hbase.rootdir</name>
    <value>hdfs://node1:9000/hbase</value>
  </property>
  <!--hbase 数据目录 -->
   <property>
     <name>hbase.tmp.dir</name>
     <value>/data/hbase/tmp</value>
   </property>
  <property>
    <name>hbase.unsafe.stream.capability.enforce</name>
    <value>false</value>
  </property>

  <!-- Flink Secondary Index -->
  <property>
    <name>hbase.regionserver.wal.codec</name>
    <value>org.apache.hadoop.hbase.regionserver.wal.IndexedWALEditCodec</value>
  </property>

  <property>
    <name>hbase.column.max.version</name>
    <value>2</value>
  </property>
  <property>
    <name>hbase.regionserver.global.memstore.size</name>
    <value>0.2</value>
  </property>
  <property>
    <name>hbase.regionserver.global.memstore.size.lower.limit</name>
    <value>0.8</value>
  </property>

  <!-- 实际的Block Size = Heap size * hfile.block.cache.size， 需要重启才能生效，HDFS读较多时，可以增加zhe -->
  <property>
    <name>hfile.block.cache.size</name>
    <value>0.2</value>
  </property>

  <!--bytes,每个用户写缓存数，默认2097152; 总消耗内存=hbase.client.write.buffer * hbase.regionserver.handler.count -->
  <property>
    <name>hbase.hregion.memstore.flush.size</name>
    <value>134217728</value>
  </property>

  <!--RPC handler，default 30-->
  <property>
    <name>dfs.namenode.service.handler.count</name>
    <value>48</value>
  </property>

  <!-- Phoenix error-->
  <property>
    <name>phoenix.coprocessor.maxServerCacheTimeToLiveMs</name>
    <value>300000</value>
  </property>

  <!-- Region Split Policy -->
  <property>
    <name>hbase.regionserver.region.split.policy</name>
    <value>org.apache.hadoop.hbase.regionserver.DisabledRegionSplitPolicy</value>
  </property>

  
  <!-- Compacting 604800000 -->
  <property>
    <name>hbase.hstore.compactionthreshold</name>
    <value>5</value>
  </property>
  <property>
    <name>hbase.hstore.compaction.max</name>
    <value>10</value>
  </property>
  <property>
    <name>hbase.hstore.blockingStoreFiles</name>
    <value>16</value>
  </property>
  <property>
    <name>hbase.hregion.majorcompaction</name>
    <value>0</value>
  </property>

  <property>
    <name>hbase.hstore.compaction.throughput.higher.bound</name>
    <value>20971520</value>
    <description>The default is 20 MB/sec</description>
  </property>
  <property>
    <name>hbase.hstore.compaction.throughput.lower.bound</name>
    <value>10485760</value>
    <description>The default is 10 MB/sec</description>
  </property>

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4、修改regionservers文件

在node1，node2，node3上操作

[hadoop@node1 conf]$ vim regionservers 
node1
node2
node3

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5、修改冲突jar包

hbase和hadoop都有slf4j-log4j12-1.7.30.jar包，启动hbase的时候会有冲突

修改hbase的jar包名。

[hadoop@node1 lib]$ cd /usr/local/hbase/lib/client-facing-thirdparty/
[hadoop@node1 client-facing-thirdparty]$ mv slf4j-log4j12-1.7.30.jar slf4j-log4j12-1.7.30.jar.bak

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6、查看相关进程是否启动

[root@node1 ~]# jps
42128 HRegionServer
42848 ResourceManager
33729 QuorumPeerMain
41893 HMaster
40664 NameNode
40824 DataNode
44442 Jps



[root@node2 ~]# jps
15410 HRegionServer
17013 Jps
15813 NodeManager
15021 DataNode
15133 SecondaryNameNode
1583 Bootstrap
12223 QuorumPeerMain




[root@node3 ~]# jps
13058 NodeManager
7766 QuorumPeerMain
13531 Jps
12715 HRegionServer
12412 DataNode

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Hbase 集群的安装部署

1、下载HBase二进制源码包

2、配置环境变量

3、配置ZooKeeper和Hbase配置项

4、修改regionservers文件

5、修改冲突jar包

6、查看相关进程是否启动

7、访问hbase页面

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