Hadoop学习之路(9)ZooKeeper安装
文章目录
- 1、环境准备
- 1.1下载zooKeeper
- 1.3安装zooKeeper
- 1.4配置zooKeeper环境变量
- 1.5 修改zookeeper集群配置文件
- 1.6 创建myid文件
- 1.7 修改myid目录权限
- 2、复制zookeeper
- 3、修改node2和node3节点zookeeper的相关目录权限
- 4、修改node2和node3的myid文件内容
- 5、配置node2和node3的zookeeper环境变量
- 5.1 使得node2和node3的环境变量生效
- 6.启动zookeeper集群
- 6.1 启动zookeeper集群
- 6.2 查看zookeeper集群状态
- 6.3 zooKeeper安装遇到问题
1、环境准备
1.1下载zooKeeper
查阅hadoop2.7.3的文档我们可以看到hadoop2.7.3在搭建高可用的时候使用的是zookeeper-3.4.2版本，所以我们也按照hadoop官网的提示，接下来我们安装zookeeper-3.4.2版本.进入官网下载ZooKeeper3.4.2版本
官网地址：https://zookeeper.apache.org/
点击Download
1.3安装zooKeeper
#1.把zookeeper的压缩安装包解压到/opt/bigdata/目录下[root@node1 ~]# tar -xzvf zookeeper-3.4.2.tar.gz -C /opt/bigdata/ #输入完命令后回车#2.切换到bigdata目录下[root@node1 ~]# cd /opt/bigdata/#3.按照安装hadoop的方式，将zookeeper的安装目录的所属组修改为hadoop:hadoop#修改zookeeper安装目录的所属用户和组为hadoop:hadoop[root@node1 bigdata]# chown -R hadoop:hadoop zookeeper-3.4.2/#4.修改zookeeper安装目录的读写权限[root@node1 bigdata]# chmod -R 755 zookeeper-3.4.2/1.4配置zooKeeper环境变量
#1.切换到hadoop用户目录下[root@node1 bigdata]# su - hadoopLast login: Thu Jul 18 16:07:39 CST 2019 on pts/0[hadoop@node1 ~]$ cd /opt/bigdata/zookeeper-3.4.2/[hadoop@node1 zookeeper-3.4.2]$ cd ..[hadoop@node1 bigdata]$ cd ~#2.修改hadoop用户下的环境变量配置文件[hadoop@node1 ~]$ vi .bash_profile# Get the aliases and functions# Get the aliases and functionsif [ -f ~/.bashrc ]; then. ~/.bashrcfi# User specific environment and startup programsJAVA_HOME=/usr/java/jdk1.8.0_211-amd64HADOOP_HOME=/opt/bigdata/hadoop-2.7.3SPARK_HOME=/opt/spark-2.4.3-bin-hadoop2.7M2_HOME=/opt/apache-maven-3.0.5#3.新增zookeeper的环境变量ZOOKEEPER_HOMEZOOKEEPER_HOME=/opt/bigdata/zookeeper-3.4.2/PATH=$PATH:$HOME/bin:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$M2_HOME/bin#4.将zookeeper的环境变量ZOOKEEPER_HOME加入到path中PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbin:$ZOOKEEPER_HOME/binexport JAVA_HOMEexport HADOOP_HOMEexport M2_HOMEexport SPARK_HOMEexport HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoopexport HDFS_CONF_DIR=$HADOOP_HOME/etc/hadoop#5.导出zookeeper环境变量export ZOOKEEPER_HOME#6.保存修改内容:wq! #记得回车#7.使得环境变量生效[hadoop@node1 ~]$ source .bash_profile#8.输入zk然后按键盘左侧的Tab键[hadoop@node1 ~]$ zk#有如下的提示,表名zookeeper的配置完成zkCleanup.sh zkCli.cmd zkCli.sh zkEnv.cmd zkEnv.sh zkServer.cmd zkServer.sh[hadoop@node1 ~]$ zk1.5 修改zookeeper集群配置文件
将目录切换到zookeeper的安装目录下的conf目录下复制zoo_sample.cfg文件为zoo.cfg
[hadoop@node1 ~]$ cd /opt/bigdata/zookeeper-3.4.2/conf/[hadoop@node1 conf]$ lltotal 12-rwxr-xr-x 1 hadoop hadoop 535 Dec 22 2011 configuration.xsl-rwxr-xr-x 1 hadoop hadoop 2161 Dec 22 2011 log4j.properties-rwxr-xr-x 1 hadoop hadoop 808 Dec 22 2011 zoo_sample.cfg#1.复制zoo_sample.cfg模板配置文件为正式的配置文件zoo.cfg[hadoop@node1 conf]$ cp zoo_sample.cfg zoo.cfg[hadoop@node1 conf]$ lltotal 16-rwxr-xr-x 1 hadoop hadoop 535 Dec 22 2011 configuration.xsl-rwxr-xr-x 1 hadoop hadoop 2161 Dec 22 2011 log4j.properties-rwxr-xr-x 1 hadoop hadoop 808 Jul 19 11:20 zoo.cfg-rwxr-xr-x 1 hadoop hadoop 808 Dec 22 2011 zoo_sample.cfg[hadoop@node1 conf]$修改dataDir的值为 dataDir=/var/lib/zookeeper,在文件的末尾添加如下配置:
server.1=node1:2888:3888 server.2=node2:2888:3888 server.3=node3:2888:3888修改完配置文件记得保存
# The number of milliseconds of each ticktickTime=2000# The number of ticks that the initial# synchronization phase can takeinitLimit=10# The number of ticks that can pass between# sending a request and getting an acknowledgementsyncLimit=5# the directory where the snapshot is stored.# do not use /tmp for storage, /tmp here is just# example sakes.dataDir=/var/lib/zookeeper# the port at which the clients will connectclientPort=2181# the maximum number of client connections.# increase this if you need to handle more clients#maxClientCnxns=60## Be sure to read the maintenance section of the# administrator guide before turning on autopurge.开课吧kaikeba.com精选领域名师，只为人才赋能 61.6 创建myid文件在节点node1,node2,node3对应的/var/lib/zookeeper目录下(dataDir配置的目录/var/lib/zookeeper)创建myid文件,几个文件内容依次为1,2,3如下图我们切换到root用户，在/var/lib目录下创建zookeeper目录，因为hadoop用户对/var/lib目录没有写权限，所以我们在创建zookeeper目录时需要切换到root用户(拥有最大权限)## http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance## The number of snapshots to retain in dataDir#autopurge.snapRetainCount=3# Purge task interval in hours# Set to "0" to disable auto purge feature#autopurge.purgeInterval=1server.1=node1:2888:3888server.2=node2:2888:3888server.3=node3:2888:3888#修改完配置文件记得保存1.6 创建myid文件
在节点node1,node2,node3对应的/var/lib/zookeeper目录下(dataDir配置的录/var/lib/zookeeper)创建myid文件,几个文件内容依次为1,2,3。切换到root用户，在/var/lib目录下创建zookeeper目录，因为hadoop用户对/var/lib目录没有写权限，所以我们在创建zookeeper目录时需要切换到
root用户(拥有最大权限)[hadoop@node1 conf]$ vi zoo.cfg#1.切换到root用户[hadoop@node1 conf]$ su - rootPassword:Last login: Fri Jul 19 10:53:59 CST 2019 from 192.168.200.1 on pts/0#2.创建zookeeper目录[root@node1 ~]# mkdir -p /var/lib/zookeeper#3.进入到/var/lib/zookeeper/目录[root@node1 ~]# cd /var/lib/zookeeper/You have new mail in /var/spool/mail/root#4.创建myid配置文件[root@node1 zookeeper]# touch myid#5.编辑myid文件，输入1，我们目前编辑的是node1的节点的myid文件，node2的myid内容为2，node3的myid内容为3[root@node1 zookeeper]# vi myidYou have new mail in /var/spool/mail/root#6.查看一下myid文件内容为1[root@node1 zookeeper]# cat myid1You have new mail in /var/spool/mail/root1.7 修改myid目录权限
#1.配置完成后记得修改zookeeper目录的所属组和读写权限[root@node1 zookeeper]# cd ..You have new mail in /var/spool/mail/root#2.修改zookeeper目录所属组[root@node1 lib]# chown -R hadoop:hadoop zookeeper/#3.修改zookeeper目录的读写权限为755[root@node1 lib]# chmod -R 755 zookeeper/[root@node1 lib]#2、复制zookeeper
#1.复制/var/lib目录下的zookeeper目录到node2和node3的/var/lib目录下[root@node1 lib]# scp -r zookeeper node2:$PWD[root@node1 lib]# scp -r zookeeper node3:$PWD#2.复制zookeeper安装目录到node2和node3的安装目录下/opt/bigdata目录下[root@node1 lib]# scp -r /opt/bigdata/zookeeper-3.4.2/ node2:/opt/bigdata/[root@node1 lib]# scp -r /opt/bigdata/zookeeper-3.4.2/ node3:/opt/bigdata/3、修改node2和node3节点zookeeper的相关目录权限
修改node2节点zookeeper 相关目录权限
#1.修改zookeeper的myid配置目录所属组和读写权限[root@node2 lib]# cd ~[root@node2 ~]# chown -R hadoop:hadoop /var/lib/zookeeper[root@node2 ~]# chmod -R 755 /var/lib/zookeeper#2.修改zookeeper安装目录所属组和读写权限[root@node2 ~]# chown -R hadoop:hadoop /opt/bigdata/zookeeper-3.4.2/You have new mail in /var/spool/mail/root[root@node2 ~]# chmod -R 755 /opt/bigdata/zookeeper-3.4.2/[root@node2 ~]#修改node3节点zookeeper 相关目录权限
#1.修改zookeeper的myid配置目录所属组和读写权限[root@node3 bigdata]# cd ~You have new mail in /var/spool/mail/root[root@node3 ~]# chown -R hadoop:hadoop /var/lib/zookeeper[root@node3 ~]# chmod -R 755 /var/lib/zookeeper#2.修改zookeeper安装目录所属组和读写权限[root@node3 ~]# chown -R hadoop:hadoop /opt/bigdata/zookeeper-3.4.2/You have new mail in /var/spool/mail/root[root@node3 ~]# chmod -R 755 /opt/bigdata/zookeeper-3.4.2/[root@node3 ~]#4、修改node2和node3的myid文件内容
修改node2节点zookeeper 的myid内容为2：
[root@node2 ~]# vi /var/lib/zookeeper/myidYou have new mail in /var/spool/mail/root[root@node2 ~]# cat /var/lib/zookeeper/myid2[root@node2 ~]#修改node3节点zookeeper 的myid内容为3
[root@node3 ~]# vi /var/lib/zookeeper/myidYou have new mail in /var/spool/mail/root[root@node3 ~]# cat /var/lib/zookeeper/myid3[root@node3 ~]#5、配置node2和node3的zookeeper环境变量
我们在node1节点上直接将hadoop用户的环境变量配置文件远程复制到node2和node3的hadoop用户家目录下
#1.如果当前登录用户是root用户，需要切换到hadoop用户下，如果当前用户是hadoop用户，请将目录切换到hadoop用户的家目录下,在进行环境变量文件的远程复制.[root@node1 lib]# su - hadoopLast login: Fri Jul 19 11:08:44 CST 2019 on pts/0[hadoop@node1 ~]$ scp .bash_profile node2:$PWD.bash_profile 100% 68164.8KB/s 00:00[hadoop@node1 ~]$ scp .bash_profile node3:$PWD.bash_profile 100% 681156.8KB/s 00:00[hadoop@node1 ~]$5.1 使得node2和node3的环境变量生效
使得node2的hadoop的环境变量生效
#注意：切换到hadoop用户下#1.使得环境变量生效[hadoop@node2 ~]$ source .bash_profile#2.输入zk然后按键盘左侧的Tab键[hadoop@node2 ~]$ zk#3.有如下命令和shell脚本的提示，说明zookeeper的环境变量配置成功.zkCleanup.sh zkCli.sh zkEnv.sh zkServer.shzkCli.cmd zkEnv.cmd zkServer.cmd[hadoop@node2 ~]$ zk使得node3的hadoop的环境变量生效
#注意：切换到hadoop用户下[root@node3 bigdata]# su - hadoopLast login: Thu Jul 18 15:37:50 CST 2019 on :0#1.使得环境变量生效[hadoop@node3 ~]$ source .bash_profile#2.输入zk然后按键盘左侧的Tab键[hadoop@node3 ~]$ zk#3.有如下命令和shell脚本的提示，说明zookeeper的环境变量配置成功.zkCleanup.sh zkCli.sh zkEnv.sh zkServer.shzkCli.cmd zkEnv.cmd zkServer.cmd[hadoop@node3 ~]$ zk6.启动zookeeper集群
6.1 启动zookeeper集群
启动zookeeper集群需要手动分别依次在三台机器上启动,启动前需要在三台机器上都将用户切换为hadoop用户.
node1上启动zookeeper
[hadoop@node1 ~]$ zkServer.sh startJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgStarting zookeeper ... STARTED[hadoop@node1 ~]$node2上启动zookeeper
[hadoop@node2 ~]$ zkServer.sh startJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgStarting zookeeper ... STARTED[hadoop@node2 ~]$node3上启动zookeeper
[hadoop@node3 ~]$ zkServer.sh startJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgStarting zookeeper ... STARTED[hadoop@node3 ~]$6.2 查看zookeeper集群状态
使用zkServer.sh status命令在三个节点分别执行查看状态
在node1上查看
[hadoop@node1 bin]$ zkServer.sh statusJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgMode: follower[hadoop@node1 bin]$在node2上查看
[hadoop@node2 bin]$ zkServer.sh statusJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgMode: follower[hadoop@node2 bin]$在node3上查看
[hadoop@node3 bin]$ zkServer.sh statusJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgMode: leader[hadoop@node3 bin]$至此我们zookeeper集群安装完成.
6.3 zooKeeper安装遇到问题
由于按照hadoop2.7.3版本官方文档中使用zookeeper-3.4.2版本，但是zookeeper-3.4.2版本比较低，我们在启动zookeeper后，可以使用jps命令或者ps -ef|grep zookeeper命令查看zookeeper主进程的状态，但是我们发现是正常的，如果我们使用zkServer.sh status命令查看zookeeper的状态却显示是异常的,不管启动多少次都会得到同样的结果。
[hadoop@node1 bin]$ zkServer.sh statusJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgError contacting service. It is probably not running.[hadoop@node2 bin]$ zkServer.sh statusJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgError contacting service. It is probably not running.[hadoop@node3 bin]$ zkServer.sh statusJMX enabled by defaultUsing config: /opt/bigdata/zookeeper-3.4.2/bin/../conf/zoo.cfgError contacting service. It is probably not running.分析主要有以下两个原因造成:
1.centos7上没有安装nc工具.
2.zookeeper启动脚本中的nc命令在不同的linux版本中使用了无效的参数导致获取状态异常或者获取的状态为
空状态导致的。
解决方法:
1.使用yum 在三个节点上分别安装nc工具
yum install nc -y2.修改zookeeper安装目录下的bin目录下的zkServer.sh脚本文件内容
修改完成后我们在使用zkServer.sh status就能看到zookeeper的状态了
赞 (0)