搭建HBase分布式集群

  1. Prerequisite

There are 3 VMs - hadoop3/hadoop4/hadoop5 for fully-distributed HBase cluster, the setup plan looks like:

|-------------|-----------------------------------------------------|---------------------------------------|----------------------------------------|
| | hadoop3 | hadoop4 | hadoop5 |
| Hadoop hdfs | NameNode:8020 DateNode:50010 JobHistoryServer:19888 | DataNode:50010 | SecondaryNameNode:50090 DateNode:50010 |
| Hadoop yarn | NodeManger:8040 | ResourceMananger:8088 NodeManger:8040 | NodeManger:8040 |
| Zookeeper | QuorumPeerMain:2181 | QuorumPeerMain:2181 | QuorumPeerMain:2181 |
| HBase | HMaster:16000 HRegionServer:16020 | HRegionServer:16020 | HRegionServer:16020 |

And JDK/Zookeeper/Hadoop/HBase have been installed under /opt on 3 VMs with user sunxo:

bash 复制代码
$ ls /opt
hadoop-2.10.2  hbase-2.4.16  jdk  zookeeper-3.8.1
  1. configure passwordless SSH access

hadoop3 who has Namenode needs to access all VMs as sunxo

bash 复制代码
$ ssh-keygen -t rsa
$ ssh-copy-id hadoop3
$ ssh-copy-id hadoop4
$ ssh-copy-id hadoop5

and root as well

bash 复制代码
# ssh-keygen -t rsa
# ssh-copy-id hadoop3
# ssh-copy-id hadoop4
# ssh-copy-id hadoop5

haddoop4 who has ResourceMananger needs to access all VMs as sunxo

bash 复制代码
$ ssh-keygen -t rsa
$ ssh-copy-id hadoop3
$ ssh-copy-id hadoop4
$ ssh-copy-id hadoop5
  1. hadoop3 add environment variable in $HOME/.bashrc (not .bash.profile)
bash 复制代码
export JAVA_HOME=/opt/jdk
export ZOOKEEPER_HOME=/opt/zookeeper-3.8.1
export KAFKA_HOME=/opt/kafka-3.3.1
export HADOOP_HOME=/opt/hadoop-2.10.2
export HBASE_HOME=/opt/hbase-2.4.16
export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$HBASE_HOME/bin:$JAVA_HOME/bin:$HOME/bin:.:$PATH

And distribute .bashrc to hadoop4 hadoop5

bash 复制代码
$ rsync.sh .bashrc hadoop4 hadoop5
rsync -rvl /home/sunxo/.bashrc sunxo@hadoop4:/home/sunxo
sending incremental file list
.bashrc

sent 614 bytes  received 37 bytes  1302.00 bytes/sec
total size is 541  speedup is 0.83
rsync -rvl /home/sunxo/.bashrc sunxo@hadoop5:/home/sunxo
sending incremental file list
.bashrc
  1. Zookeeper on hadoop3
  1. configurate and distribute zoo.cfg
bash 复制代码
$ cd $ZOOKEEPER_HOME/conf 
$ diff -u zoo_sample.cfg zoo.cfg
--- zoo_sample.cfg	2023-01-26 00:31:05.000000000 +0800
+++ zoo.cfg	2023-10-17 14:30:06.598229298 +0800
@@ -9,7 +9,7 @@
 # the directory where the snapshot is stored.
 # do not use /tmp for storage, /tmp here is just 
 # example sakes.
-dataDir=/tmp/zookeeper
+dataDir=/opt/zookeeper-3.8.1/tmp
 # the port at which the clients will connect
 clientPort=2181
 # the maximum number of client connections.
@@ -25,7 +25,7 @@
 #autopurge.snapRetainCount=3
 # Purge task interval in hours
 # Set to "0" to disable auto purge feature
-#autopurge.purgeInterval=1
+autopurge.purgeInterval=1
 
 ## Metrics Providers
 #
@@ -35,3 +35,7 @@
 #metricsProvider.httpPort=7000
 #metricsProvider.exportJvmInfo=true
 
+# cluster
+server.3=hadoop3:2888:3888
+server.4=hadoop4:2888:3888
+server.5=hadoop5:2888:3888

$ rsync.sh zoo.cfg hadoop4 hadoop5
  1. create and distribute data dir assigned in zoo.cfg
bash 复制代码
cd $ZOOKEEPER_HOME
$ mkdir -p tmp
$ rsync.sh tmp hadoop4 hadoop5
  1. start zookeeper cluster
bash 复制代码
$ hosts="hadoop3 hadoop4 hadoop5"
$     for host in $hosts
>     do
>         echo "============= zk start on $host ============="
>         ssh $host $ZOOKEEPER_HOME/bin/zkServer.sh start
>     done
============= zk start on hadoop3 =============
ZooKeeper JMX enabled by default
Using config: /opt/zookeeper-3.8.1/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
============= zk start on hadoop4 =============
ZooKeeper JMX enabled by default
Using config: /opt/zookeeper-3.8.1/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
============= zk start on hadoop5 =============
ZooKeeper JMX enabled by default
Using config: /opt/zookeeper-3.8.1/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED

$ jps.sh hadoop3 hadoop4 hadoop5
============= hadoop3 =============
30495 QuorumPeerMain
============= hadoop4 =============
313 QuorumPeerMain
============= hadoop5 =============
4264 QuorumPeerMain
  1. Hadoop on hadoop3
  1. configurate
bash 复制代码
$ cd $HADOOP_HOME/etc/hadoop
$ diff -u hadoop-env.sh.orig hadoop-env.sh
...
-export JAVA_HOME=${JAVA_HOME}
+export JAVA_HOME=/opt/jdk
$ cat core-site.xml
...
<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://hadoop3:8020</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/opt/hadoop-2.10.2/data/tmp</value>
    </property>
</configuration>
$ cat hdfs-site.xml
...
<configuration>
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>hadoop5:50090</value>
    </property>
</configuration>
$ cat mapred-site.xml
...
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>hadoop3:10020</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>hadoop3:19888</value>
    </property>
</configuration>
$ cat yarn-site.xml
...
<configuration>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>hadoop4</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.log-aggregation-enable</name>
        <value>true</value>
    </property>
    <property>
        <name>yarn.log-aggregation.retain-seconds</name>
        <value>604800</value>
    </property>
    <property>
        <name>yarn.resourcemanager.scheduler.class</name>
        <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>
    </property>
</configuration>
$ cat slaves
hadoop3
hadoop4
hadoop5
  1. distribute configuration to hadoop4, hadoop5
bash 复制代码
$ cd $HADOOP_HOME/etc
$ rsync.sh hadoop/ hadoop4 hadoop5
  1. format filesystem

    $ cd $HADOOP_HOME
    $ rm.sh data/ hadoop3 hadoop4 hadoop5 # remove old data if need
    $ rm.sh log/ hadoop3 hadoop4 hadoop5 # remove old log if need
    $ bin/hdfs namenode -format

  2. start hdfs/yarn/historyserver

    $ echo "============= dfs start from hadoop3 ============="
    ssh hadoop3 $HADOOP_HOME/sbin/start-dfs.sh
    echo "============= yarn start from hadoop4 ============="
    ssh hadoop4 $HADOOP_HOME/sbin/start-yarn.sh
    echo "============= history start on hadoop3 ============="
    ssh hadoop3 $HADOOP_HOME/sbin/mr-jobhistory-daemon.sh start historyserver
    ============= dfs start from hadoop3 =============
    Starting namenodes on [hadoop3]
    hadoop3: starting namenode, logging to /opt/hadoop-2.10.2/logs/hadoop-sunxo-namenode-hadoop3.out
    hadoop4: starting datanode, logging to /opt/hadoop-2.10.2/logs/hadoop-sunxo-datanode-hadoop4.out
    hadoop3: starting datanode, logging to /opt/hadoop-2.10.2/logs/hadoop-sunxo-datanode-hadoop3.out
    hadoop5: starting datanode, logging to /opt/hadoop-2.10.2/logs/hadoop-sunxo-datanode-hadoop5.out
    Starting secondary namenodes [hadoop5]
    ============= yarn start from hadoop4 =============
    starting yarn daemons
    starting resourcemanager, logging to /opt/hadoop-2.10.2/logs/yarn-sunxo-resourcemanager-hadoop4.out
    hadoop3: starting nodemanager, logging to /opt/hadoop-2.10.2/logs/yarn-sunxo-nodemanager-hadoop3.out
    hadoop4: starting nodemanager, logging to /opt/hadoop-2.10.2/logs/yarn-sunxo-nodemanager-hadoop4.out
    hadoop5: starting nodemanager, logging to /opt/hadoop-2.10.2/logs/yarn-sunxo-nodemanager-hadoop5.out
    ============= history start on hadoop3 =============
    starting historyserver, logging to /opt/hadoop-2.10.2/logs/mapred-sunxo-historyserver-hadoop3.out

    $ jps.sh hadoop3 hadoop4 hadoop5
    ============= hadoop3 =============
    816 DataNode
    616 NameNode
    1385 JobHistoryServer
    1166 NodeManager
    30495 QuorumPeerMain
    ============= hadoop4 =============
    2065 DataNode
    2354 NodeManager
    313 QuorumPeerMain
    2222 ResourceManager
    ============= hadoop5 =============
    5892 DataNode
    6023 SecondaryNameNode
    4264 QuorumPeerMain
    6120 NodeManager

  1. HBase on hadoop3
  1. configurate

    $ diff -u hbase-env.sh.orig hbase-env.sh
    --- hbase-env.sh.orig 2020-01-22 23:10:15.000000000 +0800
    +++ hbase-env.sh 2023-10-19 18:21:33.098131203 +0800
    @@ -25,7 +25,7 @@

    into the startup scripts (bin/hbase, etc.)

    The java implementation to use. Java 1.8+ required.

    -# export JAVA_HOME=/usr/java/jdk1.8.0/
    +export JAVA_HOME=/opt/jdk

    Extra Java CLASSPATH elements. Optional.

    export HBASE_CLASSPATH=

    @@ -123,7 +123,7 @@

    export HBASE_SLAVE_SLEEP=0.1

    Tell HBase whether it should manage it's own instance of ZooKeeper or not.

    -# export HBASE_MANAGES_ZK=true
    +export HBASE_MANAGES_ZK=false

    The default log rolling policy is RFA, where the log file is rolled as per the size defined for the

    $ cat hbase-site.xml
    <configuration>
    <property>
    <name>hbase.cluster.distributed</name>
    <value>true</value>
    </property>
    <property>
    <name>hbase.zookeeper.quorum</name>
    <value>hadoop3,hadoop4,hadoop5</value>
    </property>
    <property>
    <name>hbase.rootdir</name>
    <value>hdfs://hadoop3:8020/hbase</value>
    </property>
    </configuration>

    $ cat regionservers
    hadoop3
    hadoop4
    hadoop5

  2. start hbase

    $ echo "============= hbase start from hadoop3 ============="
    $HBASE_HOME/bin/start-hbase.sh
    ============= hbase start from hadoop3 =============
    running master, logging to /opt/hbase-2.4.16/logs/hbase-sunxo-master-hadoop3.out
    hadoop3: running regionserver, logging to /opt/hbase-2.4.16/logs/hbase-sunxo-regionserver-hadoop3.out
    hadoop4: running regionserver, logging to /opt/hbase-2.4.16/logs/hbase-sunxo-regionserver-hadoop4.out
    hadoop5: running regionserver, logging to /opt/hbase-2.4.16/logs/hbase-sunxo-regionserver-hadoop5.out

    $ jps.sh hadoop3 hadoop4 hadoop5
    ============= hadoop3 =============
    816 DataNode
    2064 HMaster
    616 NameNode
    2280 HRegionServer
    1385 JobHistoryServer
    1166 NodeManager
    30495 QuorumPeerMain
    ============= hadoop4 =============
    2065 DataNode
    2354 NodeManager
    2995 HRegionServer
    313 QuorumPeerMain
    2222 ResourceManager
    ============= hadoop5 =============
    5892 DataNode
    6023 SecondaryNameNode
    4264 QuorumPeerMain
    6120 NodeManager
    6616 HRegionServer

Note: check related url

Hdfs - http://hadoop3:50070/explorer.html#/

Yarn - http://hadoop4:8088/cluster

HBase - http://hadoop3:16010/master-status

相关推荐
龙哥·三年风水8 分钟前
workman服务端开发模式-应用开发-vue-element-admin封装websocket
分布式·websocket·vue
李昊哲小课1 小时前
deepin 安装 zookeeper
大数据·运维·zookeeper·debian·hbase
李洋-蛟龙腾飞公司3 小时前
HarmonyOS Next 应用元服务开发-分布式数据对象迁移数据文件资产迁移
分布式·华为·harmonyos
技术路上的苦行僧6 小时前
分布式专题(10)之ShardingSphere分库分表实战指南
分布式·shardingsphere·分库分表
GitCode官方6 小时前
GitCode 光引计划投稿 | GoIoT:开源分布式物联网开发平台
分布式·开源·gitcode
小扳8 小时前
微服务篇-深入了解 MinIO 文件服务器(你还在使用阿里云 0SS 对象存储图片服务?教你使用 MinIO 文件服务器:实现从部署到具体使用)
java·服务器·分布式·微服务·云原生·架构
zquwei17 小时前
SpringCloudGateway+Nacos注册与转发Netty+WebSocket
java·网络·分布式·后端·websocket·网络协议·spring
道一云黑板报21 小时前
Flink集群批作业实践:七析BI批作业执行
大数据·分布式·数据分析·flink·kubernetes
飞来又飞去1 天前
kafka sasl和acl之间的关系
分布式·kafka
MZWeiei1 天前
Zookeeper的监听机制
分布式·zookeeper