如何进行HA分布式集群搭建-创新互联
今天就跟大家聊聊有关如何进行HA分布式集群搭建,可能很多人都不太了解,为了让大家更加了解,小编给大家总结了以下内容,希望大家根据这篇文章可以有所收获。
创新互联是一家朝气蓬勃的网站建设公司。公司专注于为企业提供信息化建设解决方案。从事网站开发,网站制作,网站设计,网站模板,微信公众号开发,软件开发,微信平台小程序开发,十余年建站对成都PVC花箱等多个方面,拥有丰富的网站推广经验。一:HA分布式配置的优势:
1,防止由于一台namenode挂掉,集群失败的情形
2,适合工业生产的需求
二:HA安装步骤:
1,安装虚拟机
1,型号:VMware_workstation_full_12.5.0.11529.exe linux镜像:CentOS-7-x86_64-DVD-1611.iso
注意点:
1,网络选择了桥接模式(可以防止route总变),(台式机或服务器最好设置自己的本机的ip地址为静态的ip)
2,安装过程中选择了基础建设模式(infras...),(减少内存的消耗,但又保证基本的环境的模式)
3,用户名root 密码 root
4,网络配置使用了手动网络固定网络ip4地址(固定ip)
2,linux基本环境配置:(操作都在root权限下进行的)
1,验证网络服务:ping <主机ip> 主机 ping <虚拟机ip> ping www.baidu.ok 验证ok
备份ip地址:cp /etc/sysconfig/network-scripts/ifcfg-ens33 /etc/sysconfig/network-scripts/ifcfg-ens33.bak
2,防火墙设置:关闭并禁用防火墙
关闭防火墙 systemctl stop firewalld.service(cetos7与前面系列的iptables不同)
禁用防火墙:systemctl disable firewalld.service
查看防火墙状态:firewall-cmd --state
3,设置hosts,hostname,network
vim /etc/hostname
ha1
vim /etc/hosts
192.168.1.116 ha1
192.168.1.117 ha2
192.168.1.118 ha3
192.168.1.119 ha4
vim /etc/sysconfig/network
NETWORKING=yes
HOSTNAME=ha1
4,安装一些必要的包:(不一定全)
yum install -y chkconfig
yum install -y Python
yum install -y bind-utils
yum install -y psmisc
yum install -y libxslt
yum install -y zlib
yum install -y sqlite
yum install -y cyrus-sasl-plain
yum install -y cyrus-sasl-gssapi
yum install -y fuse
yum install -y portmap
yum install -y fuse-libs
yum install -y RedHat-lsb
5,安装Java和Scala
java版本:jdk-7u80-linux-x64.rpm
scala版本:scala-2.11.6.tgz
验证是否有java:
rpm -qa|grep java 无
tar -zxf jdk-8u111-linux-x64.tar.gz
tar -zxf scala-2.11.6.tgz
mv jdk1.8.0_111 /usr/java
mv scala-2.11.6 /usr/scala
配置环境变量:
vim /etc/profile
export JAVA_HOME=/usr/java
export SCALA_HOME=/usr/scala
export PATH=$JAVA_HOME/bin:$SCALA_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
6,重启,验证上述是否设置 ok :重启 使用vm快照,命名为:初始化ok java,scala,主机名,防火墙,ip
3,Hadoop+zookeeper集群配置
1,集群机准备
连接克隆:对ha1克隆出ha2,ha3,ha4
对ha2,ha3,ha4修改网络地址,network,防火墙
vim /etc/sysconfig/network-scripts/ifcfg-ens33
116 117/118/119
service network restart
vim /etc/hostname
vim /etc/sysconfig/network
systemctl disable firewalld.service
对ha2,ha3,ha4重启验证ip,网络,防火墙,分别对三台机快照,命名为:初始化ok java,scala,主机名,防火墙,ip
2,集群框架图
机子 | Namenode | DataNode | Zookeeper | ZkFC | JournalNode | RM | DM |
Ha1 | 1 |
| 1 | 1 | 1 | 1 |
|
Ha2 | 1 | 1 | 1 | 1 | 1 |
| 1 |
Ha3 |
| 1 | 1 |
| 1 |
| 1 |
Ha4 |
| 1 |
|
|
|
| 1 |
3,ssh通信: ok后 快照 ssh ok
四台机:
ssh-keygen -t rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 600 ~/.ssh/authorized_keys
ha1下:
scp ~/.ssh/* root@ha2:~/.ssh/
scp ~/.ssh/* root@ha3:~/.ssh/
scp ~/.ssh/* root@ha4:~/.ssh/
验证:
ssh ha2/ha3/ha4
4,zookeeper集群配置:
1,配置环境变量
zook安装:
tar -zxf zookeeper-3.4.8.tar.gz
mv zookeeper-3.4.8 /usr/zookeeper-3.4.8
修改配置文件:
export ZK_HOME=/usr/zookeeper-3.4.8
scp /etc/profile root@ha2:/etc/
scp /etc/profile root@ha3:/etc/
source /etc/profile
2,zoo.cfg配置(加粗修改出)
cd /usr/zookeeper-3.4.8/conf
cp zoo_sample.cfg zoo.cfg
内容:
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just
# example sakes.
dataDir=/opt/zookeeper/datas
dataLogDir=/opt/zookeeper/logs
# the port at which the clients will connect
clientPort=2181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the
# administrator guide before turning on autopurge.
#
# /tupian/20230522/zookeeperAdmin.html The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1
server.1=ha1:2888:3888
server.2=ha2:2888:3888
server.3=ha3:2888:3888
3,启动zookeeper集群:
#三台机(ha1,ha2,ha3)
新建文件夹:
mkdir -p /opt/zookeeper/datas
mkdir -p /opt/zookeeper/logs
cd /opt/zookeeper/datas
vim myid 写1/2/3
#分发给ha2,ha3(注意ha4不需要)
cd /usr
scp -r zookeeper-3.4.8 root@ha2:/usr
scp -r zookeeper-3.4.8 root@ha3:/usr
#启动(三台机)
cd $ZK_HOME/bin
zkServer.sh start
zkServer.sh status 一个leader和连个follower
5,hadoop集群配置
1,配置环境变量:
版本:hadoop-2.7.3.tar.gz
tar -zxf hadoop-2.7.3.tar.gz
mv hadoop2.7.3 /usr/hadoop2.7.3
export JAVA_HOME=/usr/java
export SCALA_HOME=/usr/scala
export HADOOP_HOME=/usr/hadoop-2.7.3
export PATH=$JAVA_HOME/bin:$SCALA_HOME/bin:$HADOOP_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
source /etc/profile
2,hadoop.env.sh配置:
export JAVA_HOME=/usr/java source hadoop.env.sh hadoop version 验证ok
3,hdfs-site.xml配置:后续修改后发送(scp hdfs-site.xml root@ha4:/usr/hadoop-2.7.3/etc/hadoop/)
vim hdfs-site.xml
4,core-site.xml配置
5,yarn-site.xml配置
vim yarn-site.xml
6,mapred-site.xml配置
mapreduce.framework.name yarn
7,slaves配置:
vim slaves ha2 ha3 ha4
8,分发并启动:
#分发
scp -r hadoop-2.7.3 root@ha2:/usr/
scp -r hadoop-2.7.3 root@ha3:/usr/
scp -r hadoop-2.7.3 root@ha4:/usr/
#启动JN(在ha2,ha3,ha4)
cd sbin
./hadoop-daemon.sh start journalnode
[root@ha2 sbin]# jps
JournalNode
Jps
QuorumPeerMain(#zk启动的线程)
#ha1:namenode格式化
cd bin
./hdfs namenode -format
#zk格式化
./hdfs zkfc -formatZK
#可以查看cd /opt/hadoop2文件来查看元数据是否格式化正常
#ha2:namenode格式化
1,ha1要先启动namenode:
./hadoop-daemon.sh start namenode
2,ha2下
./hdfs namenode -bootstrapStandby
9,验证:http://192.168.1.116:50070/验证 ok 快照 ha模式下的hadoop+zookeeper安装ok
#hdfs集群验证
[root@ha1 sbin]# ./stop-dfs.sh
Stopping namenodes on [ha1 ha2]
ha2: no namenode to stop
ha1: stopping namenode
ha2: no datanode to stop
ha3: no datanode to stop
ha4: no datanode to stop
Stopping journal nodes [ha2 ha3 ha4]
ha3: stopping journalnode
ha4: stopping journalnode
ha2: stopping journalnode
Stopping ZK Failover Controllers on NN hosts [ha1 ha2]
ha2: no zkfc to stop
ha1: no zkfc to stop
[root@ha1 sbin]# ./start-dfs.sh
ha1下:
[root@ha1 sbin]# jps
Jps
NameNode
QuorumPeerMain
DFSZKFailoverController
[root@ha2 dfs]# jps
NameNode
DFSZKFailoverController
Jps
DataNode
JournalNode
QuorumPeerMain
[root@ha3 sbin]# jps
QuorumPeerMain
DataNode
JournalNode
Jps
[root@ha4 sbin]# jps
Jps
DataNode
JournalNode
配置yarn和mapred
[root@ha1 sbin]# jps
NameNode
DFSZKFailoverController
Jps
QuorumPeerMain
ResourceManager
[root@ha2 hadoop]# jps
DataNode
NameNode
DFSZKFailoverController
JournalNode
NodeManager
Jps
QuorumPeerMain
[root@ha3 ~]# jps
QuorumPeerMain
DataNode
NodeManager
Jps
JournalNode
[root@ha4 ~]# jps
JournalNode
NodeManager
DataNode
Jps
看完上述内容,你们对如何进行HA分布式集群搭建有进一步的了解吗?如果还想了解更多知识或者相关内容,请关注创新互联-成都网站建设公司行业资讯频道,感谢大家的支持。
名称栏目:如何进行HA分布式集群搭建-创新互联
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