Hadoop生态圈-zookeeper完全分布式部署
Hadoop生态圈-zookeeper完全分布式部署
作者：尹正杰
版权声明：原创作品，谢绝转载！否则将追究法律责任。
本篇博客部署是建立在Hadoop高可用基础之上的，关于Hadoop高可用部署请参考：https://www.cnblogs.com/yinzhengjie/p/9070017.html。本篇博客是将Hadoop的高可用配置和zookeeper完全分布式结合使用！
一.分布式协调框架
1>.分布式框架的好处
a>.可靠性：
一个或几个节点的崩溃不会导致整个集群的崩溃。 b>.可伸缩性：
可以通过动态添加主机的方式以及修改少量配置文件，以便提示集群性能。 c>.透明性：
隐藏系统的复杂性，对用户体现为一个单一的应用。
2>.分布式框架的弊端
a>.竞态条件：
一个或多个主机尝试运行一个应用，但是该应用只需要被一个主机所运行。 b>.死锁：
两个进程分别等待对方完成。 c>.不一致性：
数据的部分丢失。
二.Zookeeper简介
1>.Zookeeper的作用
答：为了解决分布式协调框架的一些弊端，就出现了zookeeper软件，它是目前大数据中比较流行的分布式协调框架。
2>.Zookeeper的特色
a>.名字服务：
标识集群中的所有节点，节点能够向其注册并产生唯一标识。 b>.配置管理：
存储配置文件，以便共享。 c>.领袖推选机制：
就是根据其自身的算法推选出leader和follower。 d>.锁和同步服务：
当文件进行修改，会将其进行加锁，防止多用户同时写入。 e>.高有效性数据注册：
一个节点是数据不能超过1M,这个规则是递归的，换句话说，每个节点及其子节点的存储空间大小不能超过1M。
3>.本篇博客部署zookeeper架构图
4>.领袖推选机制介绍
在选举leader节点时，首先会比较事务id，其次比较myid，如果集群中已经有一半机器参加选举，那么次leader就是整个集群中的leader。
为了方便理解，我画了两幅图，便于理解上面的一句话，当事物id一致时推选leader如下：
当事物id不一致时推选leader如下：
三.zookeeper完全分布式部署
1>.下载zookeeper安装包
[yinzhengjie@s101 data]$ sudo yum -y install wget
[sudo] password for yinzhengjie:
Loaded plugins: fastestmirror
Repodata is over weeks old. Install yum-cron? Or run: yum makecache fast
base | 3.6 kB ::
extras | 3.4 kB ::
updates | 3.4 kB ::
(/): extras//x86_64/primary_db | kB ::
(/): updates//x86_64/primary_db | 2.7 MB ::
Determining fastest mirrors
* base: mirrors.huaweicloud.com
* extras: mirrors.huaweicloud.com
* updates: mirrors.huaweicloud.com
Resolving Dependencies
--> Running transaction check
---> Package wget.x86_64 :1.14-.el7_4. will be installed
--> Finished Dependency Resolution Dependencies Resolved ===============================================================================================================================
Package Arch Version Repository Size
===============================================================================================================================
Installing:
wget x86_64 1.14-.el7_4. base k Transaction Summary
===============================================================================================================================
Install Package Total download size: k
Installed size: 2.0 M
Downloading packages:
wget-1.14-.el7_4..x86_64.rpm | kB ::
Running transaction check
Running transaction test
Transaction test succeeded
Running transaction
Installing : wget-1.14-.el7_4..x86_64 /
Verifying : wget-1.14-.el7_4..x86_64 / Installed:
wget.x86_64 :1.14-.el7_4. Complete!
[yinzhengjie@s101 data]$
[yinzhengjie@s101 data]$ sudo yum -y install wget
[yinzhengjie@s101 data]$ wget http://mirrors.hust.edu.cn/apache/zookeeper/zookeeper-3.4.12/zookeeper-3.4.12.tar.gz
---- ::-- http://mirrors.hust.edu.cn/apache/zookeeper/zookeeper-3.4.12/zookeeper-3.4.12.tar.gz
Resolving mirrors.hust.edu.cn (mirrors.hust.edu.cn)... 202.114.18.160
Connecting to mirrors.hust.edu.cn (mirrors.hust.edu.cn)|202.114.18.160|:... connected.
HTTP request sent, awaiting response... OK
Length: (35M) [application/octet-stream]
Saving to: ‘zookeeper-3.4..tar.gz’ %[=====================================================================================>] ,, 132KB/s in 4m 4s -- :: ( KB/s) - ‘zookeeper-3.4..tar.gz’ saved [/] [yinzhengjie@s101 data]$ ll
total
-rw-r--r--. yinzhengjie yinzhengjie Jun : seq
-rw-rw-r--. yinzhengjie yinzhengjie Apr : zookeeper-3.4..tar.gz
[yinzhengjie@s101 data]$
[yinzhengjie@s101 data]$ wget http://mirrors.hust.edu.cn/apache/zookeeper/zookeeper-3.4.12/zookeeper-3.4.12.tar.gz
2>.修改配置文件
[yinzhengjie@s101 ~]$ cat /soft/zk/conf/zoo.cfg
# The number of milliseconds of each tick
tickTime=
# The number of ticks that the initial
# synchronization phase can take
initLimit=
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just
# example sakes.
dataDir=/home/yinzhengjie/zookeeper
# the port at which the clients will connect
clientPort=
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=
#
# Be sure to read the maintenance section of the
# administrator guide before turning on autopurge.
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=
# Purge task interval in hours
# Set to "" to disable auto purge feature
#autopurge.purgeInterval=
server.=s102::
server.=s103::
server.=s104:: [yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ cat /soft/zk/conf/zoo.cfg
3>.分发配置文件
[yinzhengjie@s101 ~]$ more `which xrsync.sh`
#!/bin/bash
#@author :yinzhengjie
#blog:http://www.cnblogs.com/yinzhengjie
#EMAIL:y1053419035@qq.com #判断用户是否传参
if [ $# -lt ];then
echo "请输入参数";
exit
fi #获取文件路径
file=$@ #获取子路径
filename=`basename $file` #获取父路径
dirpath=`dirname $file` #获取完整路径
cd $dirpath
fullpath=`pwd -P` #同步文件到DataNode
for (( i=;i<=;i++ ))
do
#使终端变绿色
tput setaf
echo =========== s$i %file ===========
#使终端变回原来的颜色，即白灰色
tput setaf
#远程执行命令
rsync -lr $filename `whoami`@s$i:$fullpath
#判断命令是否执行成功
if [ $? == ];then
echo "命令执行成功"
fi
done
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more `which xrsync.sh`
[yinzhengjie@s101 ~]$ xrsync.sh /soft/zk
=========== s102 %file ===========
命令执行成功
=========== s103 %file ===========
命令执行成功
=========== s104 %file ===========
命令执行成功
=========== s105 %file ===========
命令执行成功
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ xrsync.sh /soft/zk
[yinzhengjie@s101 ~]$ xrsync.sh /soft/zookeeper-3.4./
=========== s102 %file ===========
命令执行成功
=========== s103 %file ===========
命令执行成功
=========== s104 %file ===========
命令执行成功
=========== s105 %file ===========
命令执行成功
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ xrsync.sh /soft/zookeeper-3.4.12/
[yinzhengjie@s101 ~]$ su root
Password:
[root@s101 yinzhengjie]# xrsync.sh /etc/profile
=========== s102 %file ===========
命令执行成功
=========== s103 %file ===========
命令执行成功
=========== s104 %file ===========
命令执行成功
=========== s105 %file ===========
命令执行成功
[root@s101 yinzhengjie]# exit
exit
[yinzhengjie@s101 ~]$
[root@s101 yinzhengjie]# xrsync.sh /etc/profile
4>.在zk节点注册ID信息
[yinzhengjie@s101 ~]$ more `which xcall.sh`
#!/bin/bash
#@author :yinzhengjie
#blog:http://www.cnblogs.com/yinzhengjie
#EMAIL:y1053419035@qq.com #判断用户是否传参
if [ $# -lt ];then
echo "请输入参数"
exit
fi #获取用户输入的命令
cmd=$@ for (( i=;i<=;i++ ))
do
#使终端变绿色
tput setaf
echo ============= s$i $cmd ============
#使终端变回原来的颜色，即白灰色
tput setaf
#远程执行命令
ssh s$i $cmd
#判断命令是否执行成功
if [ $? == ];then
echo "命令执行成功"
fi
done
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more `which xcall.sh`
[yinzhengjie@s101 ~]$ xcall.sh mkdir ~/zookeeper
============= s101 mkdir /home/yinzhengjie/zookeeper ============
命令执行成功
============= s102 mkdir /home/yinzhengjie/zookeeper ============
命令执行成功
============= s103 mkdir /home/yinzhengjie/zookeeper ============
命令执行成功
============= s104 mkdir /home/yinzhengjie/zookeeper ============
命令执行成功
============= s105 mkdir /home/yinzhengjie/zookeeper ============
命令执行成功
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ xcall.sh mkdir ~/zookeeper
[yinzhengjie@s101 ~]$ xcall.sh touch ~/zookeeper/myid
============= s101 touch /home/yinzhengjie/zookeeper/myid ============
命令执行成功
============= s102 touch /home/yinzhengjie/zookeeper/myid ============
命令执行成功
============= s103 touch /home/yinzhengjie/zookeeper/myid ============
命令执行成功
============= s104 touch /home/yinzhengjie/zookeeper/myid ============
命令执行成功
============= s105 touch /home/yinzhengjie/zookeeper/myid ============
命令执行成功
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ xcall.sh touch ~/zookeeper/myid
[yinzhengjie@s101 ~]$ for (( i=;i<=;i++ )) do ssh s$i "echo -n $i > ~/zookeeper/myid" ;done
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ for (( i=102;i<=104;i++ )) do ssh s$i "echo -n $i > ~/zookeeper/myid" ;done
[yinzhengjie@s102 ~]$ more /home/yinzhengjie/zookeeper/myid [yinzhengjie@s102 ~]$
[yinzhengjie@s102 ~]$ more /home/yinzhengjie/zookeeper/myid
[yinzhengjie@s103 ~]$ more /home/yinzhengjie/zookeeper/myid [yinzhengjie@s103 ~]$
[yinzhengjie@s103 ~]$ more /home/yinzhengjie/zookeeper/myid
[yinzhengjie@s104 ~]$ more /home/yinzhengjie/zookeeper/myid [yinzhengjie@s104 ~]$
[yinzhengjie@s104 ~]$ more /home/yinzhengjie/zookeeper/myid
5>.编写zookeeper启动脚本（“/usr/local/bin/xzk.sh”，别忘记添加执行权限）
[yinzhengjie@s101 ~]$ more /usr/local/bin/xzk.sh
#!/bin/bash
#@author :yinzhengjie
#blog:http://www.cnblogs.com/yinzhengjie
#EMAIL:y1053419035@qq.com #判断用户是否传参
if [ $# -ne ];then
echo "无效参数，用法为: $0 {start|stop|restart|status}"
exit
fi #获取用户输入的命令
cmd=$ #定义函数功能
function zookeeperManger(){
case $cmd in
start)
echo "启动服务"
remoteExecution start
;;
stop)
echo "停止服务"
remoteExecution stop
;;
restart)
echo "重启服务"
remoteExecution restart
;;
status)
echo "查看状态"
remoteExecution status
;;
*)
echo "无效参数，用法为: $0 {start|stop|restart|status}"
;;
esac
} #定义执行的命令
function remoteExecution(){
for (( i= ; i<= ; i++ )) ; do
tput setaf
echo ========== s$i zkServer.sh $ ================
tput setaf
ssh s$i "source /etc/profile ; zkServer.sh $1"
done
} #调用函数
zookeeperManger
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ sudo chmod +x /usr/local/bin/xzk.sh
[yinzhengjie@s101 ~]$
6>.启动zookeeper
[yinzhengjie@s101 ~]$ xzk.sh start
启动服务
========== s102 zkServer.sh start ================
ZooKeeper JMX enabled by default
Using config: /soft/zk/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
========== s103 zkServer.sh start ================
ZooKeeper JMX enabled by default
Using config: /soft/zk/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
========== s104 zkServer.sh start ================
ZooKeeper JMX enabled by default
Using config: /soft/zk/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[yinzhengjie@s101 ~]$
启动zookeeper（[yinzhengjie@s101 ~]$ xzk.sh start）
[yinzhengjie@s101 ~]$ xzk.sh status
查看状态
========== s102 zkServer.sh status ================
ZooKeeper JMX enabled by default
Using config: /soft/zk/bin/../conf/zoo.cfg
Mode: follower
========== s103 zkServer.sh status ================
ZooKeeper JMX enabled by default
Using config: /soft/zk/bin/../conf/zoo.cfg
Mode: leader
========== s104 zkServer.sh status ================
ZooKeeper JMX enabled by default
Using config: /soft/zk/bin/../conf/zoo.cfg
Mode: follower
[yinzhengjie@s101 ~]$
查看zookeeper集群状态（[yinzhengjie@s101 ~]$ xzk.sh status）
四.HDFS高可用配置
1>.启动zookeeper集群（[yinzhengjie@s101 ~]$ xzk.sh start）
启动方式参考："三.zookeeper完全分布式部署",一下是查看集群的zookeeper进程是否启动成功：
[yinzhengjie@s101 ~]$ xcall.sh jps
============= s101 jps ============
Jps
命令执行成功
============= s102 jps ============
Jps
QuorumPeerMain
命令执行成功
============= s103 jps ============
QuorumPeerMain
Jps
命令执行成功
============= s104 jps ============
Jps
QuorumPeerMain
命令执行成功
============= s105 jps ============
Jps
命令执行成功
[yinzhengjie@s101 ~]$
2>.修改hadoop的核心配置文件
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>dfs.replication</name>
<value></value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/home/yinzhengjie/ha/dfs/name1,/home/yinzhengjie/ha/dfs/name2</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/home/yinzhengjie/ha/dfs/data1,/home/yinzhengjie/ha/dfs/data2</value>
</property> <!-- 高可用配置 -->
<property>
<name>dfs.nameservices</name>
<value>mycluster</value>
</property> <property>
<name>dfs.ha.namenodes.mycluster</name>
<value>nn1,nn2</value>
</property> <property>
<name>dfs.namenode.rpc-address.mycluster.nn1</name>
<value>s101:</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn2</name>
<value>s105:</value>
</property> <property>
<name>dfs.namenode.http-address.mycluster.nn1</name>
<value>s101:</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn2</name>
<value>s105:</value>
</property> <property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://s102:8485;s103:8485;s104:8485/mycluster</value>
</property> <property>
<name>dfs.client.failover.proxy.provider.mycluster</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property> <!-- 在容灾发生时，保护活跃的namenode -->
<property>
<name>dfs.ha.fencing.methods</name>
<value>
sshfence
shell(/bin/true)
</value>
</property> <property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/home/yinzhengjie/.ssh/id_rsa</value>
</property> <property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property> </configuration> <!--
hdfs-site.xml 配置文件的作用：
#HDFS的相关设定，如文件副本的个数、块大小及是否使用强制权限
等，此中的参数定义会覆盖hdfs-default.xml文件中的默认配置. dfs.replication 参数的作用：
#为了数据可用性及冗余的目的，HDFS会在多个节点上保存同一个数据
块的多个副本，其默认为3个。而只有一个节点的伪分布式环境中其仅用
保存一个副本即可，这可以通过dfs.replication属性进行定义。它是一个
软件级备份。 dfs.namenode.name.dir 参数的作用：
#本地磁盘目录，NN存储fsimage文件的地方。可以是按逗号分隔的目录列表，
fsimage文件会存储在全部目录，冗余安全。这里多个目录设定，最好在多个磁盘，
另外，如果其中一个磁盘故障，不会导致系统故障，会跳过坏磁盘。由于使用了HA，
建议仅设置一个。如果特别在意安全，可以设置2个 dfs.datanode.data.dir 参数的作用：
#本地磁盘目录，HDFS数据应该存储Block的地方。可以是逗号分隔的目录列表
（典型的，每个目录在不同的磁盘）。这些目录被轮流使用，一个块存储在这个目录，
下一个块存储在下一个目录，依次循环。每个块在同一个机器上仅存储一份。不存在
的目录被忽略。必须创建文件夹，否则被视为不存在。 dfs.nameservices 参数的作用：
#nameservices列表。逗号分隔。 dfs.ha.namenodes.mycluster 参数的作用：
#dfs.ha.namenodes.[nameservice ID] 命名空间中所有NameNode的唯一标示名称。
可以配置多个，使用逗号分隔。该名称是可以让DataNode知道每个集群的所有NameNode。
当前，每个集群最多只能配置两个NameNode。 dfs.namenode.rpc-address.mycluster.nn1 参数的作用：
#dfs.namenode.rpc-address.[nameservice ID].[name node ID] 每个namenode监听的RPC地址。 dfs.namenode.http-address.mycluster.nn1 参数的作用：
#dfs.namenode.http-address.[nameservice ID].[name node ID] 每个namenode监听的http地址。 dfs.namenode.shared.edits.dir 参数的作用：
#这是NameNode读写JNs组的uri。通过这个uri，NameNodes可以读写edit log内容。URI的格式"qjournal://host1:port1;host2:port2;h
ost3:port3/journalId"。这里的host1、host2、host3指的是Journal Node的地址，这里必须是奇数个，至少3个；其中journalId是集群的唯一
标识符，对于多个联邦命名空间，也使用同一个journalId。 dfs.client.failover.proxy.provider.mycluster 参数的作用：
#这里配置HDFS客户端连接到Active NameNode的一个java类 dfs.ha.fencing.methods 参数的作用：
#dfs.ha.fencing.methods 配置active namenode出错时的处理类。当active namenode出错时，一般需要关闭该进程。处理方式可以是s
sh也可以是shell。 dfs.ha.fencing.ssh.private-key-files 参数的作用：
#使用sshfence时，SSH的私钥文件。 使用了sshfence，这个必须指定 dfs.ha.automatic-failover.enabled 参数作用：
#配置自动容灾，需要把它的值改为true！
-->
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/hdfs-site.xml
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/core-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/home/yinzhengjie/ha</value>
</property>
<property>
<name>hadoop.http.staticuser.user</name>
<value>yinzhengjie</value>
</property> <property>
<name>ha.zookeeper.quorum</name>
<value>s102:,s103:,s104:</value>
</property>
</configuration> <!-- core-site.xml配置文件的作用：
用于定义系统级别的参数，如HDFS URL、Hadoop的临时
目录以及用于rack-aware集群中的配置文件的配置等，此中的参
数定义会覆盖core-default.xml文件中的默认配置。 fs.defaultFS 参数的作用：
#fs.defaultFS 客户端连接HDFS时，默认的路径前缀。如果前面配置了nameservice ID的值是mycluster，那么这里可以配置为授权信息
的一部分 hadoop.tmp.dir 参数的作用：
#声明hadoop工作目录的地址。 hadoop.http.staticuser.user 参数的作用：
#在网页界面访问数据使用的用户名。 ha.zookeeper.quorum 参数的作用：
#指定zookeeper的节点。 -->
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/core-site.xml
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/yarn-site.xml
<?xml version="1.0"?>
<configuration>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>s101</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration> <!-- yarn-site.xml配置文件的作用：
#主要用于配置调度器级别的参数.
yarn.resourcemanager.hostname 参数的作用：
#指定资源管理器(resourcemanager)的主机名
yarn.nodemanager.aux-services 参数的作用：
#指定nodemanager使用shuffle -->
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/yarn-site.xml
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/mapred-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration> <!--
mapred-site.xml 配置文件的作用：
#HDFS的相关设定，如reduce任务的默认个数、任务所能够使用内存
的默认上下限等，此中的参数定义会覆盖mapred-default.xml文件中的
默认配置. mapreduce.framework.name 参数的作用：
#指定MapReduce的计算框架，有三种可选，第一种：local(本地),第
二种是mapred(hadoop一代执行框架),第三种是yarn(二代执行框架)，我
们这里配置用目前版本最新的计算框架yarn即可。 -->
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/mapred-site.xml
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/slaves
#指定从DataNode服务器
s102
s103
s104
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/slaves
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/masters
#指定从NameNode服务器
s101
s105
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more /soft/hadoop/etc/hadoop/masters
[yinzhengjie@s101 ~]$ tail - /soft/hadoop/sbin/start-yarn.sh
# start resourceManager
#"$bin"/yarn-daemon.sh --config $YARN_CONF_DIR start resourcemanager
"$bin"/yarn-daemons.sh --config $YARN_CONF_DIR --hosts masters start resourcemanager
# start nodeManager
"$bin"/yarn-daemons.sh --config $YARN_CONF_DIR start nodemanager
# start proxyserver
#"$bin"/yarn-daemon.sh --config $YARN_CONF_DIR start proxyserver
[yinzhengjie@s101 ~]$
此脚本存在问题，需要修改脚本，如果不修改默认只启动本地进程（[yinzhengjie@s101 ~]$ tail -7 /soft/hadoop/sbin/start-yarn.sh）
[yinzhengjie@s101 ~]$ tail - /soft/hadoop/sbin/stop-yarn.sh
# stop resourceManager
#"$bin"/yarn-daemon.sh --config $YARN_CONF_DIR stop resourcemanager
"$bin"/yarn-daemons.sh --config $YARN_CONF_DIR --hosts masters stop resourcemanager
# stop nodeManager
"$bin"/yarn-daemons.sh --config $YARN_CONF_DIR stop nodemanager
# stop proxy server
"$bin"/yarn-daemon.sh --config $YARN_CONF_DIR stop proxyserver
[yinzhengjie@s101 ~]$
此脚本存在问题，需要修改脚本，如果不修改默认只停止本地进程（[yinzhengjie@s101 ~]$ tail -7 /soft/hadoop/sbin/stop-yarn.sh ）
3>.同步配置文件
[yinzhengjie@s101 ~]$ more `which xrsync.sh`
#!/bin/bash
#@author :yinzhengjie
#blog:http://www.cnblogs.com/yinzhengjie
#EMAIL:y1053419035@qq.com #判断用户是否传参
if [ $# -lt ];then
echo "请输入参数";
exit
fi #获取文件路径
file=$@ #获取子路径
filename=`basename $file` #获取父路径
dirpath=`dirname $file` #获取完整路径
cd $dirpath
fullpath=`pwd -P` #同步文件到DataNode
for (( i=;i<=;i++ ))
do
#使终端变绿色
tput setaf
echo =========== s$i %file ===========
#使终端变回原来的颜色，即白灰色
tput setaf
#远程执行命令
rsync -lr $filename `whoami`@s$i:$fullpath
#判断命令是否执行成功
if [ $? == ];then
echo "命令执行成功"
fi
done
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more `which xrsync.sh`
[yinzhengjie@s101 ~]$ xrsync.sh /soft/hadoop/etc/
=========== s102 %file ===========
命令执行成功
=========== s103 %file ===========
命令执行成功
=========== s104 %file ===========
命令执行成功
=========== s105 %file ===========
命令执行成功
[yinzhengjie@s101 ~]$
4>.格式化zk数据
[yinzhengjie@s101 ~]$ hdfs zkfc -formatZK
// :: INFO tools.DFSZKFailoverController: Failover controller configured for NameNode NameNode at s101/172.16.30.101:
// :: INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.-, built on // : GMT
// :: INFO zookeeper.ZooKeeper: Client environment:host.name=s101
// :: INFO zookeeper.ZooKeeper: Client environment:java.version=1.8.0_131
// :: INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
// :: INFO zookeeper.ZooKeeper: Client environment:java.home=/soft/jdk1..0_131/jre
// :: INFO zookeeper.ZooKeeper: Client environment:java.class.path=/soft/hadoop-2.7./etc/hadoop:/soft/hadoop-2.7./share/hadoop/common/lib/jaxb-impl-2.2.-.jar:/soft/hadoop-2.7./share/hadoop/common/lib/jaxb-api-2.2..jar:/soft/hadoop-2.7./share/hadoop/common/lib/stax-api-1.0-.jar:/soft/hadoop-2.7./share/hadoop/common/lib/activation-1.1.jar:/soft/hadoop-2.7./share/hadoop/common/lib/jackson-core-asl-1.9..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jackson-mapper-asl-1.9..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jackson-jaxrs-1.9..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jackson-xc-1.9..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jersey-server-1.9.jar:/soft/hadoop-2.7./share/hadoop/common/lib/asm-3.2.jar:/soft/hadoop-2.7./share/hadoop/common/lib/log4j-1.2..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jets3t-0.9..jar:/soft/hadoop-2.7./share/hadoop/common/lib/httpclient-4.2..jar:/soft/hadoop-2.7./share/hadoop/common/lib/httpcore-4.2..jar:/soft/hadoop-2.7./share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-lang-2.6.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-configuration-1.6.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-digester-1.8.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-beanutils-1.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-beanutils-core-1.8..jar:/soft/hadoop-2.7./share/hadoop/common/lib/slf4j-api-1.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/slf4j-log4j12-1.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/avro-1.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/paranamer-2.3.jar:/soft/hadoop-2.7./share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-compress-1.4..jar:/soft/hadoop-2.7./share/hadoop/common/lib/xz-1.0.jar:/soft/hadoop-2.7./share/hadoop/common/lib/protobuf-java-2.5..jar:/soft/hadoop-2.7./share/hadoop/common/lib/gson-2.2..jar:/soft/hadoop-2.7./share/hadoop/common/lib/hadoop-auth-2.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/apacheds-kerberos-codec-2.0.-M15.jar:/soft/hadoop-2.7./share/hadoop/common/lib/apacheds-i18n-2.0.-M15.jar:/soft/hadoop-2.7./share/hadoop/common/lib/api-asn1-api-1.0.-M20.jar:/soft/hadoop-2.7./share/hadoop/common/lib/api-util-1.0.-M20.jar:/soft/hadoop-2.7./share/hadoop/common/lib/zookeeper-3.4..jar:/soft/hadoop-2.7./share/hadoop/common/lib/netty-3.6..Final.jar:/soft/hadoop-2.7./share/hadoop/common/lib/curator-framework-2.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/curator-client-2.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jsch-0.1..jar:/soft/hadoop-2.7./share/hadoop/common/lib/curator-recipes-2.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/htrace-core-3.1.-incubating.jar:/soft/hadoop-2.7./share/hadoop/common/lib/junit-4.11.jar:/soft/hadoop-2.7./share/hadoop/common/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7./share/hadoop/common/lib/mockito-all-1.8..jar:/soft/hadoop-2.7./share/hadoop/common/lib/hadoop-annotations-2.7..jar:/soft/hadoop-2.7./share/hadoop/common/lib/guava-11.0..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jsr305-3.0..jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-cli-1.2.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-math3-3.1..jar:/soft/hadoop-2.7./share/hadoop/common/lib/xmlenc-0.52.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-httpclient-3.1.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-logging-1.1..jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-codec-1.4.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-io-2.4.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-net-3.1.jar:/soft/hadoop-2.7./share/hadoop/common/lib/commons-collections-3.2..jar:/soft/hadoop-2.7./share/hadoop/common/lib/servlet-api-2.5.jar:/soft/hadoop-2.7./share/hadoop/common/lib/jetty-6.1..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jetty-util-6.1..jar:/soft/hadoop-2.7./share/hadoop/common/lib/jsp-api-2.1.jar:/soft/hadoop-2.7./share/hadoop/common/lib/jersey-core-1.9.jar:/soft/hadoop-2.7./share/hadoop/common/lib/jersey-json-1.9.jar:/soft/hadoop-2.7./share/hadoop/common/lib/jettison-1.1.jar:/soft/hadoop-2.7./share/hadoop/common/hadoop-common-2.7..jar:/soft/hadoop-2.7./share/hadoop/common/hadoop-common-2.7.-tests.jar:/soft/hadoop-2.7./share/hadoop/common/hadoop-nfs-2.7..jar:/soft/hadoop-2.7./share/hadoop/hdfs:/soft/hadoop-2.7./share/hadoop/hdfs/lib/commons-codec-1.4.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/log4j-1.2..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/commons-logging-1.1..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/netty-3.6..Final.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/guava-11.0..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/jsr305-3.0..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/commons-cli-1.2.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/xmlenc-0.52.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/commons-io-2.4.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/servlet-api-2.5.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/jetty-6.1..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/jetty-util-6.1..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/jersey-core-1.9.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/jackson-core-asl-1.9..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/jackson-mapper-asl-1.9..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/jersey-server-1.9.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/asm-3.2.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/commons-lang-2.6.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/protobuf-java-2.5..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/htrace-core-3.1.-incubating.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/commons-daemon-1.0..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/netty-all-4.0..Final.jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/xercesImpl-2.9..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/xml-apis-1.3..jar:/soft/hadoop-2.7./share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7./share/hadoop/hdfs/hadoop-hdfs-2.7..jar:/soft/hadoop-2.7./share/hadoop/hdfs/hadoop-hdfs-2.7.-tests.jar:/soft/hadoop-2.7./share/hadoop/hdfs/hadoop-hdfs-nfs-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/zookeeper-3.4.-tests.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/commons-lang-2.6.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/guava-11.0..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jsr305-3.0..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/commons-logging-1.1..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/protobuf-java-2.5..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/commons-cli-1.2.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/log4j-1.2..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jaxb-api-2.2..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/stax-api-1.0-.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/activation-1.1.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/commons-compress-1.4..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/xz-1.0.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/servlet-api-2.5.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/commons-codec-1.4.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jetty-util-6.1..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jersey-core-1.9.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jersey-client-1.9.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jackson-core-asl-1.9..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jackson-mapper-asl-1.9..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jackson-jaxrs-1.9..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jackson-xc-1.9..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/guice-3.0.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/javax.inject-.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/aopalliance-1.0.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/commons-io-2.4.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jersey-server-1.9.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/asm-3.2.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jersey-json-1.9.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jettison-1.1.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jaxb-impl-2.2.-.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/zookeeper-3.4..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/netty-3.6..Final.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/commons-collections-3.2..jar:/soft/hadoop-2.7./share/hadoop/yarn/lib/jetty-6.1..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-api-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-common-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-common-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-tests-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-client-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7..jar:/soft/hadoop-2.7./share/hadoop/yarn/hadoop-yarn-registry-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/protobuf-java-2.5..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/avro-1.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/jackson-core-asl-1.9..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/paranamer-2.3.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/commons-compress-1.4..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/xz-1.0.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/hadoop-annotations-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/commons-io-2.4.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/asm-3.2.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/log4j-1.2..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/netty-3.6..Final.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/guice-3.0.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/javax.inject-.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/junit-4.11.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7..jar:/soft/hadoop-2.7./share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.-tests.jar:/contrib/capacity-scheduler/*.jar
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/soft/hadoop-2.7.3/lib/native
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:os.version=3.10.0-327.el7.x86_64
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:user.name=yinzhengjie
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:user.home=/home/yinzhengjie
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Client environment:user.dir=/home/yinzhengjie
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=s102:2181,s103:2181,s104:2181 sessionTimeout=5000 watcher=org.apache.hadoop.ha.ActiveStandbyElector$WatcherWithClientRef@74fe5c40
18/06/20 08:35:18 INFO zookeeper.ClientCnxn: Opening socket connection to server s104/172.16.30.104:2181. Will not attempt to authenticate using SASL (unknown error)
18/06/20 08:35:18 INFO zookeeper.ClientCnxn: Socket connection established to s104/172.16.30.104:2181, initiating session
18/06/20 08:35:18 INFO zookeeper.ClientCnxn: Session establishment complete on server s104/172.16.30.104:2181, sessionid = 0x680000ca40a10000, negotiated timeout = 5000
18/06/20 08:35:18 INFO ha.ActiveStandbyElector: Session connected.
18/06/20 08:35:18 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/mycluster in ZK.
18/06/20 08:35:18 INFO zookeeper.ZooKeeper: Session: 0x680000ca40a10000 closed
18/06/20 08:35:18 INFO zookeeper.ClientCnxn: EventThread shut down
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ echo $?
0
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ hdfs zkfc -formatZK
5>.启动hdfs
[yinzhengjie@s101 ~]$ start-dfs.sh
Starting namenodes on [s101 s105]
s101: starting namenode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-namenode-s101.out
s105: starting namenode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-namenode-s105.out
s104: starting datanode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-datanode-s104.out
s102: starting datanode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-datanode-s102.out
s103: starting datanode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-datanode-s103.out
Starting journal nodes [s102 s103 s104]
s104: starting journalnode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-journalnode-s104.out
s103: starting journalnode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-journalnode-s103.out
s102: starting journalnode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-journalnode-s102.out
Starting ZK Failover Controllers on NN hosts [s101 s105]
s101: starting zkfc, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-zkfc-s101.out
s105: starting zkfc, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-zkfc-s105.out
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ start-dfs.sh
6>.检验hadoop的高可用
[yinzhengjie@s101 ~]$ more `which xcall.sh`
#!/bin/bash
#@author :yinzhengjie
#blog:http://www.cnblogs.com/yinzhengjie
#EMAIL:y1053419035@qq.com #判断用户是否传参
if [ $# -lt ];then
echo "请输入参数"
exit
fi #获取用户输入的命令
cmd=$@ for (( i=;i<=;i++ ))
do
#使终端变绿色
tput setaf
echo ============= s$i $cmd ============
#使终端变回原来的颜色，即白灰色
tput setaf
#远程执行命令
ssh s$i $cmd
#判断命令是否执行成功
if [ $? == ];then
echo "命令执行成功"
fi
done
[yinzhengjie@s101 ~]$
[yinzhengjie@s101 ~]$ more `which xcall.sh`
[yinzhengjie@s101 ~]$ xcall.sh jps
============= s101 jps ============
NameNode
Jps
DFSZKFailoverController
命令执行成功
============= s102 jps ============
QuorumPeerMain
Jps
JournalNode
命令执行成功
============= s103 jps ============
Jps
QuorumPeerMain
JournalNode
命令执行成功
============= s104 jps ============
QuorumPeerMain
Jps
JournalNode
命令执行成功
============= s105 jps ============
DFSZKFailoverController
NameNode
Jps
命令执行成功
[yinzhengjie@s101 ~]$
五.初学者遇到问题最霸道的解决方案：（这种暴力解决方式适合我这样测试集群中使用，如果你的架构跟我的一样，那么这种方法也适合你）
温馨提示：如果你要格式化集群，最好是将之前的数据目录改名，若你没有删除或修改集群之前的数据目录，格式化后的版本信息仍然是上一次没有格式化的集群版本信息哟！这样很可能导致你的DataNode或者NameNode进程启动不了，或者存在刚刚启动不一会儿进程就挂掉了！
[yinzhengjie@s101 ~]$ hadoop-daemons.sh start journalnode
s103: starting journalnode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-journalnode-s103.out
s102: starting journalnode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-journalnode-s102.out
s104: starting journalnode, logging to /soft/hadoop-2.7./logs/hadoop-yinzhengjie-journalnode-s104.out
[yinzhengjie@s101 ~]$
启动journalnode进程（[yinzhengjie@s101 ~]$ hadoop-daemons.sh start journalnode）
[yinzhengjie@s101 ~]$ hdfs namenode -format
// :: INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = s101/172.16.30.101
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 2.7.3
STARTUP_MSG: classpath = /soft/hadoop-2.7.3/etc/hadoop:/soft/hadoop-2.7.3/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/stax-api-1.0-2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/activation-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jets3t-0.9.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/httpclient-4.2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/httpcore-4.2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-configuration-1.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-digester-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/avro-1.7.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/paranamer-2.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/gson-2.2.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hadoop-auth-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/zookeeper-3.4.6.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-framework-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-client-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsch-0.1.42.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/junit-4.11.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/mockito-all-1.8.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/hadoop-annotations-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-math3-3.1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/xmlenc-0.52.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-httpclient-3.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-net-3.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/commons-collections-3.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jsp-api-2.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jersey-json-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/common/lib/jettison-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-common-2.7.3-tests.jar:/soft/hadoop-2.7.3/share/hadoop/common/hadoop-nfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-2.7.3-tests.jar:/soft/hadoop-2.7.3/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-lang-2.6.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guava-11.0.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-cli-1.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/activation-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/servlet-api-2.5.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-codec-1.4.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-client-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/guice-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/javax.inject-1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/aopalliance-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-json-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jettison-1.1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/lib/jetty-6.1.26.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-api-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-client-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/yarn/hadoop-yarn-registry-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/xz-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/asm-3.2.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/guice-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/javax.inject-1.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/junit-4.11.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar:/soft/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3-tests.jar:/contrib/capacity-scheduler/*.jar
STARTUP_MSG: build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r baa91f7c6bc9cb92be5982de4719c1c8af91ccff; compiled by 'root' on 2016-08-18T01:41Z
STARTUP_MSG: java = 1.8.0_131
************************************************************/
// :: INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
// :: INFO namenode.NameNode: createNameNode [-format]
// :: WARN common.Util: Path /home/yinzhengjie/ha/dfs/name1 should be specified as a URI in configuration files. Please update hdfs configuration.
// :: WARN common.Util: Path /home/yinzhengjie/ha/dfs/name2 should be specified as a URI in configuration files. Please update hdfs configuration.
// :: WARN common.Util: Path /home/yinzhengjie/ha/dfs/name1 should be specified as a URI in configuration files. Please update hdfs configuration.
// :: WARN common.Util: Path /home/yinzhengjie/ha/dfs/name2 should be specified as a URI in configuration files. Please update hdfs configuration.
Formatting using clusterid: CID-f4979818-1b00--9ce6-6a84ab5a27e7
// :: INFO namenode.FSNamesystem: No KeyProvider found.
// :: INFO namenode.FSNamesystem: fsLock is fair:true
// :: INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=
// :: INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
// :: INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to :::00.000
// :: INFO blockmanagement.BlockManager: The block deletion will start around Jun ::
// :: INFO util.GSet: Computing capacity for map BlocksMap
// :: INFO util.GSet: VM type = -bit
// :: INFO util.GSet: 2.0% max memory MB = 17.8 MB
// :: INFO util.GSet: capacity = ^ = entries
// :: INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
// :: INFO blockmanagement.BlockManager: defaultReplication =
// :: INFO blockmanagement.BlockManager: maxReplication =
// :: INFO blockmanagement.BlockManager: minReplication =
// :: INFO blockmanagement.BlockManager: maxReplicationStreams =
// :: INFO blockmanagement.BlockManager: replicationRecheckInterval =
// :: INFO blockmanagement.BlockManager: encryptDataTransfer = false
// :: INFO blockmanagement.BlockManager: maxNumBlocksToLog =
// :: INFO namenode.FSNamesystem: fsOwner = yinzhengjie (auth:SIMPLE)
// :: INFO namenode.FSNamesystem: supergroup = supergroup
// :: INFO namenode.FSNamesystem: isPermissionEnabled = true
// :: INFO namenode.FSNamesystem: Determined nameservice ID: mycluster
// :: INFO namenode.FSNamesystem: HA Enabled: true
// :: INFO namenode.FSNamesystem: Append Enabled: true
// :: INFO util.GSet: Computing capacity for map INodeMap
// :: INFO util.GSet: VM type = -bit
// :: INFO util.GSet: 1.0% max memory MB = 8.9 MB
// :: INFO util.GSet: capacity = ^ = entries
// :: INFO namenode.FSDirectory: ACLs enabled? false
// :: INFO namenode.FSDirectory: XAttrs enabled? true
// :: INFO namenode.FSDirectory: Maximum size of an xattr:
// :: INFO namenode.NameNode: Caching file names occuring more than times
// :: INFO util.GSet: Computing capacity for map cachedBlocks
// :: INFO util.GSet: VM type = -bit
// :: INFO util.GSet: 0.25% max memory MB = 2.2 MB
// :: INFO util.GSet: capacity = ^ = entries
// :: INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
// :: INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes =
// :: INFO namenode.FSNamesystem: dfs.namenode.safemode.extension =
// :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets =
// :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users =
// :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = ,,
// :: INFO namenode.FSNamesystem: Retry cache on namenode is enabled
// :: INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is millis
// :: INFO util.GSet: Computing capacity for map NameNodeRetryCache
// :: INFO util.GSet: VM type = -bit
// :: INFO util.GSet: 0.029999999329447746% max memory MB = 273.1 KB
// :: INFO util.GSet: capacity = ^ = entries
Re-format filesystem in Storage Directory /home/yinzhengjie/ha/dfs/name1 ? (Y or N) y
Re-format filesystem in Storage Directory /home/yinzhengjie/ha/dfs/name2 ? (Y or N) y
Re-format filesystem in QJM to [172.16.30.102:, 172.16.30.103:, 172.16.30.104:] ? (Y or N) y
// :: INFO namenode.FSImage: Allocated new BlockPoolId: BP--172.16.30.101-
// :: INFO common.Storage: Storage directory /home/yinzhengjie/ha/dfs/name1 has been successfully formatted.
// :: INFO common.Storage: Storage directory /home/yinzhengjie/ha/dfs/name2 has been successfully formatted.
// :: INFO namenode.FSImageFormatProtobuf: Saving image file /home/yinzhengjie/ha/dfs/name2/current/fsimage.ckpt_0000000000000000000 using no compression
// :: INFO namenode.FSImageFormatProtobuf: Saving image file /home/yinzhengjie/ha/dfs/name1/current/fsimage.ckpt_0000000000000000000 using no compression
// :: INFO namenode.FSImageFormatProtobuf: Image file /home/yinzhengjie/ha/dfs/name2/current/fsimage.ckpt_0000000000000000000 of size bytes saved in seconds.
// :: INFO namenode.FSImageFormatProtobuf: Image file /home/yinzhengjie/ha/dfs/name1/current/fsimage.ckpt_0000000000000000000 of size bytes saved in seconds.
// :: INFO namenode.NNStorageRetentionManager: Going to retain images with txid >=
// :: INFO util.ExitUtil: Exiting with status
// :: INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at s101/172.16.30.101
************************************************************/
[yinzhengjie@s101 ~]$
格式化名称节点（hdfs namenode -format）
[yinzhengjie@s101 ha]$ scp -r ~/ha yinzhengjie@s105:~
VERSION % .2KB/s :
seen_txid % .0KB/s :
fsimage_0000000000000000000.md5 % .1KB/s :
fsimage_0000000000000000000 % .4KB/s :
VERSION % .2KB/s :
seen_txid % .0KB/s :
fsimage_0000000000000000000.md5 % .1KB/s :
fsimage_0000000000000000000 % .4KB/s :
[yinzhengjie@s101 ha]$
将s101中的工作目录同步到s105（[yinzhengjie@s101 ha]$ scp -r ~/ha yinzhengjie@s105:~）
[yinzhengjie@s101 ~]$ xcall.sh jps
============= s101 jps ============
NameNode
Jps
DFSZKFailoverController
命令执行成功
============= s102 jps ============
QuorumPeerMain
Jps
JournalNode
命令执行成功
============= s103 jps ============
Jps
QuorumPeerMain
JournalNode
命令执行成功
============= s104 jps ============
QuorumPeerMain
Jps
JournalNode
命令执行成功
============= s105 jps ============
DFSZKFailoverController
NameNode
Jps
命令执行成功
[yinzhengjie@s101 ~]$
检查服务启动情况（[yinzhengjie@s101 ~]$ xcall.sh jps）
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