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nagios详细配置教程-dnspod配合webluker做免费CDN详细教程

发布时间:2017-10-18 所属栏目:衍纸做蝴蝶的详细教程

一 : dnspod配合webluker做免费CDN详细教程

可能有点长,有耐心的看下去,你会受益匪浅,而且我尽量给大家讲明白。
如何利用Dnspod和 webluker做免费CDN加速。
首先我说下,相必来看这个教程的人都知道什么事CDN了,不知道的自己去看看,接下来我会用最简单和易懂的方式教会大家用CDN加速,
用好东西为什么不分享呢。
我先讲明为什么要用Dnspod?
因为为了网站优化我们都要解析不带www和带www的域名,而webluker得服务器是不支持A记录的(这个也很好想通,因为是动态的选择一个
就近的主机,所以是不能用A记录A到IP上的),它只支持C记录,而我们知道一般不带www的域名是不能用C记录的,所以我们将我们的域名
服务器托管到dnspod,dnspod带www和不带www的都可以使用C记录,还有大家可以放心使用dnspod我用了很长时间了,效果很好,如果你的
域名带www和不带www的域名本来就都可以用C记录,那么请直接跳过下面第一大步,直接到第二大步
总是大“带www和不带www域名”这几个字实在太累,也方便大家理解,我用我自己网站的域名给大家讲解:
不带www域名就用这个域名代替:hao0606.com
带www域名的就是www.hao0606.com
第一大步 将域名服务器换成dnspod的
1. 登陆www.dnspod.cn

2. 右上角选择注册

3. 选择个人用户

4. 填写个人信息(这个大家都知道吧)
然后提交就可以了,这样你就成功注册了dnspod,然后去验证电话和邮箱
5. 然后我们添加自己的域名,都直接选择下一步就行,其中要注意选择的是单线机房,后面的填写项就写上自己空间商给你绑定域名的地
址或二级域名(这里不重要随便填写,方正以后都会C到webluker给我们的域名上去),这时候DNSPOD会给你新的DNS服务器,复制下来
6. 到自己的域名管理去,将域名服务器换成新的域DNSPOD的,别保留原来的,免得出问题

7. 现在你的域名服务器就换成了DNSPOD的了,然后到DNSPOD设置自己的C记录和A记录,改成你以前的,这里是因为你还没有webluker的服务器,
免得你的网站上不去,等申请了webluker后再回来改。到此DNSPOD的注册算是完成
第二大步 注册webluker
这里给大家说下webluker现在时国内为数不多的提供免费CDN加速的,属于蓝讯,还有这个是最好的了,其它的免费得CDN还有一两家,不过都不
好,用这个很好用,还有要用这个这个必须备案,好了进入正题吧。
1. 登陆www.webluker.com
2. 在网站加速里添加加速域名。同时将webluker证书下载上传到你的网站验证,提交申请等待人工审核。(还有为了使得我的网站hao0606.com和www.hao0606.com都能得到加速,我们必须添加两个域名如下图)界面如下:(提示这里的源站地址可以是空间商给的二级域名,我就是用的二级域名,
也可以是空间商给的IP,两个都行,自己选个)

Hao0606.com也要作相同的配置

比如只添加了hao0606.com 那么访问www.hao0606.com 便访问的是源主机,就是你的空间商那里,审核一般很快,网上审核一般一天,联系客服一会就
给你过了,记得说话客气点,那么会更快
3. 缓存规则页面,我选的是全站模式(这个根据自己的实际情况吧)。允许忽略COOKIE这个选择开启,keeponline这个肯定得选择开启,就算你的买的空
间挂掉了,你依然可以访问网站,因为有很多主机都缓存了你的网站,正是因为全国格的的主机缓存了你的网站,所以的网站访问更快。

5.等你的审核通过后,webluker会给你两个域名,因为刚才我说了,你应该申请两个即hao0606.com和www.hao0606.com加速,所以有两个域名,这时候
到DNSPOD管理域名中添加记录进行域名解析,看到没有,全是C记录, @记录是不带www的就是hao0606.com,这时候要注意记得将电信、联通、教育网、铁通、移动、国外的都C到给你的webluker给你的二级域名上。否则会出
问题

大家都照着这上面做就行,应该有16条记录
这时候DNSPOD算是完成了,接下来还有一个很重要的一步
6、定义缓存(这里不定义,各地的主机是没有缓存你的网站的,CDN不能用)

我的网站因为很小,所以我定义了缓存首页,记得每一行前面都加上”/”
① 缓存首页(因为更新快点,我设定12小时)
② 缓存了所有的除图片的外的东西(看到没有,第二行是没有图片的后缀的)
③ 缓存图片(因为我的网站图片一般不更新,我设定缓存的是15天,还有因为里面image里面只有图片,就算缓存所有,也只缓存了图片
注意看第三行
/image/[任意字符](.htm|.html|.bmp|.gif|.jpg|.jpeg|.png|.js|.swf|.css|.txt|.xml|.yaml|.text)
要加任意字符“/image/[任意字符]”,你别直接/image/ (.htm|.html|.bmp|.gif|.jpg|.jpeg|.png|.js|.swf|.css|.txt|.xml|.yaml|.text)
/image/后面没有“[任意字符]”是不对的
你添加的时候注意凡是你要全部包保留的文件夹里面那么在(.htm|.html|.bmp|.gif|.jpg|.jpeg|.png|.js|.swf|.css|.txt|.xml|.yaml|.text)前面
一定要加上[任意字符]
注意:我是hao0606.com和www.hao0606.com都做了这样的缓存设置,你们在设置的时候也一样,都要做这样的设置
。其实到了这里基本上你的网站的CDN算是配置完成了。
接下来,我给大家说下怎么配置回源配置
所谓回源配置就是你能设置哪些省份访问的时候就访问你的源站,

因为的空间的服务器放在四川的,所以对于渝蜀贵云的任意省份我都是访问的我的网站的源地址,此外陕西的我也是设置的访问源站
好了,此时你的网站就算完全OK了,大家可以试一下我的网站
好的商务:www.hao0606.com(希望编辑别删掉这个,方便大家测试)
速度都是很快的,如果还有什么不懂的可以发送上面那个网站提供的邮箱里面,我会及时回复的。
对了我再说说,用这个对SEO是没有影响的,我用了CDN后我的网站的收录是完全没有影响的,我也从后台查了一下我的网站的蜘蛛的爬行情况,
都是很好的,应该说事用帮助,一、用户体验是很用帮助的 二对于搜索引擎来说也应该是又帮助的
不足:
1无法统计你的网站得IP流量的,
2.缓存和源站的同步,说到网站的更新无法及时同步,我的网站由于更新较少,所以问题不大,但是对更新要求多的网站可能有问题,
3.还有CDN没有海外服务器,不过大家可家可以配合cloudflare使用,大家可以到DNSPOD那里修改记录,把海外记录改成cloudflare服务器的地址就
可以了
行了,终于写完了,手都写软了,希望大家以后好的东西都拿出来给大家分享。

版权归好的商务   转载请保留:www.hao0606.com

注:相关网站建设技巧阅读请移步到建站教程频道。

二 : 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

前言

   hadoop是分布式系统,运行在linux之上,配置起来相对复杂。[www.61k.com)对于hadoop1,很多同学就因为不能搭建正确的运行环境,导致学习兴趣锐减。不过,我有免费的学习视频下载,请点击这里。

   hadoop2出来后,解决了hadoop1的几个固有缺陷,比如单点故障、资源利用率低、支持作业类型少等问题,结构发生了很大变化,是hadoop未来使用的一个趋势。当然,配置也更加复杂,网上也没有一篇详细的教程来知道大家可以轻轻松松搭建起这个环境的。我应该算是第一个吧。

hadoop2体系结构

   要想理解本节内容,首先需要了解hadoop1的体系结构。在本博客中和我的视频中都有相关内容,这里不再重复,只讲hadoop2的内容。

   hadoop1的核心组成是两部分,即HDFS和MapReduce。在hadoop2中变为HDFS和Yarn。

   新的HDFS中的NameNode不再是只有一个了,可以有多个(目前只支持2个)。每一个都有相同的职能。

   这两个NameNode的地位如何哪?答:一个是active状态的,一个是standby状态的。当集群运行时,只有active状态的NameNode是正常工作的,standby状态的NameNode是处于待命状态的,时刻同步active状态NameNode的数据。一旦active状态的NameNode不能工作,通过手工或者自动切换,standby状态的NameNode就可以转变为active状态的,就可以继续工作了。这就是高可靠。

   当NameNode发生故障时,他们的数据如何保持一致哪?在这里,2个NameNode的数据其实是实时共享的。新HDFS采用了一种共享机制,JournalNode集群或者NFS进行共享。NFS是操作系统层面的,JournalNode是hadoop层面的,我们这里使用JournalNode集群进行数据共享。

   如何实现NameNode的自动切换哪?这就需要使用ZooKeeper集群进行选择了。HDFS集群中的两个NameNode都在ZooKeeper中注册,当active状态的NameNode出故障时,ZooKeeper能检测到这种情况,它就会自动把standby状态的NameNode切换为active状态。

   HDFS Federation(HDFS联盟)是怎么回事?答:联盟的出现是有原因的。我们知道NameNode是核心节点,维护着整个HDFS中的元数据信息,那么其容量是有限的,受制于服务器的内存空间。当NameNode服务器的内存装不下数据后,那么HDFS集群就装不下数据了,寿命也就到头了。因此其扩展性是受限的。HDFS联盟指的是有多个HDFS集群同时工作,那么其容量理论上就不受限了,夸张点说就是无限扩展。

配置过程详述

   大家从官网下载的apache hadoop2.2.0的代码是32位操作系统下编译的,不能使用64位的jdk。我下面部署的hadoop代码是自己的64位机器上重新编译过的。服务器都是64位的,本配置尽量模拟真实环境。大家可以以32位的操作系统做练习,这是没关系的。关于基本环境的详细配置,大家可以观看我的视频,或者浏览吴超沉思录的相关文章。

   在这里我们选用4台机器进行示范,各台机器的职责如下表格所示

 hadoop101hadoop102hadoop103hadoop104
是NameNode吗?是,属集群c1是,属集群c1是,属集群c2是,属集群c2
是DataNode吗?
是JournalNode吗?不是
是ZooKeeper吗?不是
是ZKFC吗?

   配置文件一共包括6个,分别是hadoop-env.sh、core-site.xml、hdfs-site.xml、mapred-site.xml、yarn-site.xml和slaves。除了hdfs-site.xml文件在不同集群配置不同外,其余文件在四个节点的配置是完全一样的,可以复制。

文件hadoop-env.sh

   就是修改这一行内容,修改后的结果如下

export JAVA_HOME=/usr/local/jdk   

【这里的JAVA_HOME的值是jdk的安装路径。如果你那里不一样,请修改为自己的地址】

文件core-site.xml

<configuration>
<property>
 <name>fs.defaultFS</name>
 <value>hdfs://cluster1</value>
</property>

【这里的值指的是默认的HDFS路径。当有多个HDFS集群同时工作时,用户如果不写集群名称,那么默认使用哪个哪?在这里指定!该值来自于hdfs-site.xml中的配置】
<property>
 <name>hadoop.tmp.dir</name>
 <value>/usr/local/hadoop/tmp</value>
</property>

【这里的路径默认是NameNode、DataNode、JournalNode等存放数据的公共目录。用户也可以自己单独指定这三类节点的目录。】
<property>
 <name>ha.zookeeper.quorum</name>
 <value>hadoop101:2181,hadoop102:2181,hadoop103:2181</value>
</property>

【这里是ZooKeeper集群的地址和端口。注意,数量一定是奇数,且不少于三个节点】
</configuration>

集群c1的文件hdfs-site.xml

该文件只配置在hadoop101和hadoop102上。

<configuration>
   <property>
       <name>dfs.replication</name>
       <value>2</value>
   </property>

【指定DataNode存储block的副本数量。默认值是3个,我们现在有4个DataNode,该值不大于4即可。】
   <property>
       <name>dfs.nameservices</name>
       <value>cluster1,cluster2</value>
   </property>

【使用federation时,使用了2个HDFS集群。这里抽象出两个NameService实际上就是给这2个HDFS集群起了个别名。名字可以随便起,相互不重复即可】
   <property>
       <name>dfs.ha.namenodes.cluster1</name>
       <value>hadoop101,hadoop102</value>
   </property>

【指定NameService是cluster1时的namenode有哪些,这里的值也是逻辑名称,名字随便起,相互不重复即可】
   <property>
       <name>dfs.namenode.rpc-address.cluster1.hadoop101</name>
       <value>hadoop101:9000</value>
   </property>

【指定hadoop101的RPC地址】
   <property>
       <name>dfs.namenode.http-address.cluster1.hadoop101</name>
       <value>hadoop101:50070</value>
   </property>

【指定hadoop101的http地址】
   <property>
       <name>dfs.namenode.rpc-address.cluster1.hadoop102</name>
       <value>hadoop102:9000</value>
   </property>

【指定hadoop102的RPC地址】

   <property>
       <name>dfs.namenode.http-address.cluster1.hadoop102</name>
       <value>hadoop102:50070</value>
   </property>

【指定hadoop102的http地址】
   <property>
       <name>dfs.namenode.shared.edits.dir</name>
       <value>qjournal://hadoop101:8485;hadoop102:8485;hadoop103:8485/cluster1</value>
   </property>
【指定cluster1的两个NameNode共享edits文件目录时,使用的JournalNode集群信息】

        <property>
       <name>dfs.ha.automatic-failover.enabled.cluster1</name>
       <value>true</value>
   </property>
【指定cluster1是否启动自动故障恢复,即当NameNode出故障时,是否自动切换到另一台NameNode】

   <property>
       <name>dfs.client.failover.proxy.provider.cluster1</name>
       <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
   </property>

【指定cluster1出故障时,哪个实现类负责执行故障切换】
   <property>
       <name>dfs.ha.namenodes.cluster2</name>
       <value>hadoop103,hadoop104</value>
   </property>

【指定NameService是cluster2时,两个NameNode是谁,这里是逻辑名称,不重复即可。以下配置与cluster1几乎全部相似,不再添加注释】
   <property>
       <name>dfs.namenode.rpc-address.cluster2.hadoop103</name>
       <value>hadoop103:9000</value>
   </property>
   <property>
       <name>dfs.namenode.http-address.cluster2.hadoop103</name>
       <value>hadoop103:50070</value>
   </property>
   <property>
       <name>dfs.namenode.rpc-address.cluster2.hadoop104</name>
       <value>hadoop104:9000</value>
   </property>

   <property>
       <name>dfs.namenode.http-address.cluster2.hadoop104</name>
       <value>hadoop104:50070</value>
   </property>
   <!--
   <property>
       <name>dfs.namenode.shared.edits.dir</name>
       <value>qjournal://hadoop101:8485;hadoop102:8485;hadoop103:8485/cluster2</value>
   </property>

【这段代码是注释掉的,不要打开】
   -->
   <property>
       <name>dfs.ha.automatic-failover.enabled.cluster2</name>
       <value>true</value>
   </property>
   <property>
       <name>dfs.client.failover.proxy.provider.cluster2</name>
       <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
   </property>
   <property>
       <name>dfs.journalnode.edits.dir</name>
       <value>/usr/local/hadoop/tmp/journal</value>
   </property>

【指定JournalNode集群在对NameNode的目录进行共享时,自己存储数据的磁盘路径】
   <property>
       <name>dfs.ha.fencing.methods</name>
       <value>sshfence</value>
   </property>

【一旦需要NameNode切换,使用ssh方式进行操作】
   <property>
       <name>dfs.ha.fencing.ssh.private-key-files</name>
       <value>/root/.ssh/id_rsa</value>
   </property>

【如果使用ssh进行故障切换,使用ssh通信时用的密钥存储的位置】

</configuration>

集群c2的文件hdfs-site.xml

该文件只配置在hadoop103和hadoop104上。

该文件与c1中的hdfs-site.xml配置内容完全相同,只有注释位置不一样,一定要注意,不要随便改

<configuration>
   <property>
       <name>dfs.replication</name>
       <value>2</value>
   </property>
   <property>
       <name>dfs.nameservices</name>
       <value>cluster1,cluster2</value>
   </property>
   <property>
       <name>dfs.ha.namenodes.cluster1</name>
       <value>hadoop101,hadoop102</value>
   </property>
   <property>
       <name>dfs.namenode.rpc-address.cluster1.hadoop101</name>
       <value>hadoop101:9000</value>
   </property>
   <property>
       <name>dfs.namenode.http-address.cluster1.hadoop101</name>
       <value>hadoop101:50070</value>
   </property>
   <property>
       <name>dfs.namenode.rpc-address.cluster1.hadoop102</name>
       <value>hadoop102:9000</value>
   </property>

   <property>
       <name>dfs.namenode.http-address.cluster1.hadoop102</name>
       <value>hadoop102:50070</value>
   </property>
   <!--   
   <property>
       <name>dfs.namenode.shared.edits.dir</name>
       <value>qjournal://hadoop101:8485;hadoop102:8485;hadoop103:8485/cluster1</value>
   </property>

【这段代码是注释掉的,不要打开】
   -->
   <property>
       <name>dfs.ha.automatic-failover.enabled.cluster1</name>
       <value>true</value>
   </property>
   <property>
       <name>dfs.client.failover.proxy.provider.cluster1</name>
       <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
   </property>
   <property>
       <name>dfs.ha.namenodes.cluster2</name>
       <value>hadoop103,hadoop104</value>
   </property>
   <property>
       <name>dfs.namenode.rpc-address.cluster2.hadoop103</name>
       <value>hadoop103:9000</value>
   </property>
   <property>
       <name>dfs.namenode.http-address.cluster2.hadoop103</name>
       <value>hadoop103:50070</value>
   </property>
   <property>
       <name>dfs.namenode.rpc-address.cluster2.hadoop104</name>
       <value>hadoop104:9000</value>
   </property>

   <property>
       <name>dfs.namenode.http-address.cluster2.hadoop104</name>
       <value>hadoop104:50070</value>
   </property>

   <property>
       <name>dfs.namenode.shared.edits.dir</name>
       <value>qjournal://hadoop101:8485;hadoop102:8485;hadoop103:8485/cluster2</value>
   </property>

   <property>
       <name>dfs.ha.automatic-failover.enabled.cluster2</name>
       <value>true</value>
   </property>
   <property>
       <name>dfs.client.failover.proxy.provider.cluster2</name>
       <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
   </property>
   <property>
       <name>dfs.journalnode.edits.dir</name>
       <value>/usr/local/hadoop/tmp/journal</value>
   </property>
   <property>
       <name>dfs.ha.fencing.methods</name>
       <value>sshfence</value>
   </property>
   <property>
       <name>dfs.ha.fencing.ssh.private-key-files</name>
       <value>/root/.ssh/id_rsa</value>
   </property>

</configuration>

文件mapred-site.xml

<configuration>
<property>
 <name>mapreduce.framework.name</name>
 <value>yarn</value>
</property>

【指定运行mapreduce的环境是yarn,与hadoop1截然不同的地方】
</configuration>

文件yarn-site.xml

<configuration>
 <property>
   <name>yarn.resourcemanager.hostname</name>
   <value>hadoop101</value>
 </property>   

【自定ResourceManager的地址,还是单点,这是隐患】

 <property>
   <name>yarn.nodemanager.aux-services</name>
   <value>mapreduce_shuffle</value>
 </property>
</configuration>

文件slaves

hadoop101
hadoop102
hadoop103
hadoop104

【指定所有的DataNode节点列表,每行一个节点名称】

注意:以上配置中c1中的hdfs-site.xml文件配置在hadoop101和hadoop102中,c2中的hdfs-site.xml文件配置在hadoop103和hadoop104中。其余文件在各个节点都相同。

启动过程

   启动时,要非常小心,请严格按照我这里描述的步骤做,每一步要检查自己的操作是否正确。

1.首先检查各个节点的配置文件是否正确

特别要注意hdfs-site.xml文件,在c1和c2中是不同的。

2.启动ZooKeeper集群

关于ZooKeeper的集群配置和启动描述见吴超沉思录,这里不再详述。

在hadoop101、hadoop102、hadoop103上分别执行命令:zkServer.sh start

命令输出(以hadoop101为例):

[root@hadoop101 hadoop]# zkServer.sh status
JMX enabled by default
Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg
Mode: follower

三个节点都执行完启动命令后,在hadoop101执行以下验证。

验证:

[root@hadoop101 hadoop]# zkCli.sh
Connecting to localhost:2181
2014-02-12 07:20:35,509 [myid:] - INFO [main:Environment@100] - Client environment:zookeeper.version=3.4.5-1392090, built on 09/30/2012 17:52 GMT
2014-02-12 07:20:35,523 [myid:] - INFO [main:Environment@100] - Client environment:host.name=hadoop101
2014-02-12 07:20:35,524 [myid:] - INFO [main:Environment@100] - Client environment:java.version=1.7.0_45
2014-02-12 07:20:35,525 [myid:] - INFO [main:Environment@100] - Client environment:java.vendor=Oracle Corporation
2014-02-12 07:20:35,525 [myid:] - INFO [main:Environment@100] - Client environment:java.home=/usr/local/jdk/jre
2014-02-12 07:20:35,526 [myid:] - INFO [main:Environment@100] - Client environment:java.class.path=/usr/local/zookeeper/bin/../build/classes:/usr/local/zookeeper/bin/../build/lib/*.jar:/usr/local/zookeeper/bin/../lib/slf4j-log4j12-1.6.1.jar:/usr/local/zookeeper/bin/../lib/slf4j-api-1.6.1.jar:/usr/local/zookeeper/bin/../lib/netty-3.2.2.Final.jar:/usr/local/zookeeper/bin/../lib/log4j-1.2.15.jar:/usr/local/zookeeper/bin/../lib/jline-0.9.94.jar:/usr/local/zookeeper/bin/../zookeeper-3.4.5.jar:/usr/local/zookeeper/bin/../src/java/lib/*.jar:/usr/local/zookeeper/bin/../conf:/usr/local/hadoop
2014-02-12 07:20:35,526 [myid:] - INFO [main:Environment@100] - Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib
2014-02-12 07:20:35,527 [myid:] - INFO [main:Environment@100] - Client environment:java.io.tmpdir=/tmp
2014-02-12 07:20:35,528 [myid:] - INFO [main:Environment@100] - Client environment:java.compiler=<NA>
2014-02-12 07:20:35,528 [myid:] - INFO [main:Environment@100] - Client environment:os.name=Linux
2014-02-12 07:20:35,529 [myid:] - INFO [main:Environment@100] - Client environment:os.arch=amd64
2014-02-12 07:20:35,529 [myid:] - INFO [main:Environment@100] - Client environment:os.version=2.6.32-431.el6.x86_64
2014-02-12 07:20:35,530 [myid:] - INFO [main:Environment@100] - Client environment:user.name=root
2014-02-12 07:20:35,530 [myid:] - INFO [main:Environment@100] - Client environment:user.home=/root
2014-02-12 07:20:35,531 [myid:] - INFO [main:Environment@100] - Client environment:user.dir=/usr/local/hadoop
2014-02-12 07:20:35,533 [myid:] - INFO [main:ZooKeeper@438] - Initiating client connection, connectString=localhost:2181 sessionTimeout=30000 watcher=org.apache.zookeeper.ZooKeeperMain$MyWatcher@10636a7e
Welcome to ZooKeeper!
2014-02-12 07:20:35,569 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@966] - Opening socket connection to server 127.0.0.1/127.0.0.1:2181. Will not attempt to authenticate using SASL (unknown error)
2014-02-12 07:20:35,587 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@849] - Socket connection established to 127.0.0.1/127.0.0.1:2181, initiating session
JLine support is enabled
2014-02-12 07:20:35,687 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@1207] - Session establishment complete on server 127.0.0.1/127.0.0.1:2181, sessionid = 0x654423404e530000, negotiated timeout = 30000

WATCHER::

WatchedEvent state:SyncConnected type:None path:null
[zk: localhost:2181(CONNECTED) 0] ls /
[zookeeper]
[zk: localhost:2181(CONNECTED) 1]

【可以看到ZK集群 中只有一个节点zookeeper】

3.格式化ZooKeeper集群,目的是在ZooKeeper集群上建立HA的相应节点。

在hadoop101上执行命令:/usr/local/hadoop/bin/hdfs zkfc –formatZK

命令输出:

[root@hadoop101 hadoop]# /usr/local/hadoop/bin/hdfs zkfc -formatZK
14/02/12 07:28:56 INFO tools.DFSZKFailoverController: Failover controller configured for NameNode NameNode at hadoop101/192.168.80.101:9000
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.5-1392090, built on 09/30/2012 17:52 GMT
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:host.name=hadoop101
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:java.version=1.7.0_45
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:java.home=/usr/local/jdk/jre
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:java.class.path=/usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jets3t-0.6.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.4.5.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/stax-api-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/junit-4.8.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/yarn/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-site-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.2.0.jar:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/usr/local/hadoop/lib/native
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:os.version=2.6.32-431.el6.x86_64
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:user.name=root
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:user.home=/root
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Client environment:user.dir=/usr/local/hadoop
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=hadoop101:2181,hadoop102:2181,hadoop103:2181 sessionTimeout=5000 watcher=org.apache.hadoop.ha.ActiveStandbyElector$WatcherWithClientRef@3e9c00ea
14/02/12 07:28:57 INFO zookeeper.ClientCnxn: Opening socket connection to server hadoop102/192.168.80.102:2181. Will not attempt to authenticate using SASL (unknown error)
14/02/12 07:28:57 INFO zookeeper.ClientCnxn: Socket connection established to hadoop102/192.168.80.102:2181, initiating session
14/02/12 07:28:57 INFO zookeeper.ClientCnxn: Session establishment complete on server hadoop102/192.168.80.102:2181, sessionid = 0x6644234039710000, negotiated timeout = 5000
14/02/12 07:28:57 INFO ha.ActiveStandbyElector: Session connected.
14/02/12 07:28:57 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/cluster1 in ZK.
14/02/12 07:28:57 INFO zookeeper.ZooKeeper: Session: 0x6644234039710000 closed
14/02/12 07:28:57 INFO zookeeper.ClientCnxn: EventThread shut down
[root@hadoop101 hadoop]#

验证:

[root@hadoop101 hadoop]# zkCli.sh
Connecting to localhost:2181
2014-02-12 07:30:24,355 [myid:] - INFO [main:Environment@100] - Client environment:zookeeper.version=3.4.5-1392090, built on 09/30/2012 17:52 GMT
2014-02-12 07:30:24,373 [myid:] - INFO [main:Environment@100] - Client environment:host.name=hadoop101
2014-02-12 07:30:24,374 [myid:] - INFO [main:Environment@100] - Client environment:java.version=1.7.0_45
2014-02-12 07:30:24,375 [myid:] - INFO [main:Environment@100] - Client environment:java.vendor=Oracle Corporation
2014-02-12 07:30:24,376 [myid:] - INFO [main:Environment@100] - Client environment:java.home=/usr/local/jdk/jre
2014-02-12 07:30:24,376 [myid:] - INFO [main:Environment@100] - Client environment:java.class.path=/usr/local/zookeeper/bin/../build/classes:/usr/local/zookeeper/bin/../build/lib/*.jar:/usr/local/zookeeper/bin/../lib/slf4j-log4j12-1.6.1.jar:/usr/local/zookeeper/bin/../lib/slf4j-api-1.6.1.jar:/usr/local/zookeeper/bin/../lib/netty-3.2.2.Final.jar:/usr/local/zookeeper/bin/../lib/log4j-1.2.15.jar:/usr/local/zookeeper/bin/../lib/jline-0.9.94.jar:/usr/local/zookeeper/bin/../zookeeper-3.4.5.jar:/usr/local/zookeeper/bin/../src/java/lib/*.jar:/usr/local/zookeeper/bin/../conf:/usr/local/hadoop
2014-02-12 07:30:24,378 [myid:] - INFO [main:Environment@100] - Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib
2014-02-12 07:30:24,379 [myid:] - INFO [main:Environment@100] - Client environment:java.io.tmpdir=/tmp
2014-02-12 07:30:24,380 [myid:] - INFO [main:Environment@100] - Client environment:java.compiler=<NA>
2014-02-12 07:30:24,381 [myid:] - INFO [main:Environment@100] - Client environment:os.name=Linux
2014-02-12 07:30:24,382 [myid:] - INFO [main:Environment@100] - Client environment:os.arch=amd64
2014-02-12 07:30:24,382 [myid:] - INFO [main:Environment@100] - Client environment:os.version=2.6.32-431.el6.x86_64
2014-02-12 07:30:24,383 [myid:] - INFO [main:Environment@100] - Client environment:user.name=root
2014-02-12 07:30:24,383 [myid:] - INFO [main:Environment@100] - Client environment:user.home=/root
2014-02-12 07:30:24,384 [myid:] - INFO [main:Environment@100] - Client environment:user.dir=/usr/local/hadoop
2014-02-12 07:30:24,387 [myid:] - INFO [main:ZooKeeper@438] - Initiating client connection, connectString=localhost:2181 sessionTimeout=30000 watcher=org.apache.zookeeper.ZooKeeperMain$MyWatcher@10636a7e
Welcome to ZooKeeper!
2014-02-12 07:30:24,422 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@966] - Opening socket connection to server 127.0.0.1/127.0.0.1:2181. Will not attempt to authenticate using SASL (unknown error)
2014-02-12 07:30:24,462 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@849] - Socket connection established to 127.0.0.1/127.0.0.1:2181, initiating session
JLine support is enabled
2014-02-12 07:30:24,494 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@1207] - Session establishment complete on server 127.0.0.1/127.0.0.1:2181, sessionid = 0x654423404e530001, negotiated timeout = 30000

WATCHER::

WatchedEvent state:SyncConnected type:None path:null
[zk: localhost:2181(CONNECTED) 0] ls /
[hadoop-ha, zookeeper]
[zk: localhost:2181(CONNECTED) 1] ls /hadoop-ha
[cluster1]
[zk: localhost:2181(CONNECTED) 2]

【格式化操作的目的是在ZK集群中建立一个节点,用于保存集群c1中NameNode的状态数据】

在hadoop103上执行命令:/usr/local/hadoop/bin/hdfs zkfc –formatZK

命令输出:

[root@hadoop103 hadoop]# /usr/local/hadoop/bin/hdfs zkfc -formatZK
14/02/12 07:32:14 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
14/02/12 07:32:14 INFO tools.DFSZKFailoverController: Failover controller configured for NameNode NameNode at hadoop103/192.168.80.103:9000
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.5-1392090, built on 09/30/2012 17:52 GMT
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:host.name=hadoop103
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:java.version=1.7.0_45
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:java.home=/usr/local/jdk/jre
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:java.class.path=/usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jets3t-0.6.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.4.5.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/stax-api-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/junit-4.8.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/yarn/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-site-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.2.0.jar:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:os.version=2.6.32-431.el6.x86_64
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:user.name=root
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:user.home=/root
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Client environment:user.dir=/usr/local/hadoop
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=hadoop101:2181,hadoop102:2181,hadoop103:2181 sessionTimeout=5000 watcher=org.apache.hadoop.ha.ActiveStandbyElector$WatcherWithClientRef@91d3b18
14/02/12 07:32:14 INFO zookeeper.ClientCnxn: Opening socket connection to server hadoop102/192.168.80.102:2181. Will not attempt to authenticate using SASL (unknown error)
14/02/12 07:32:14 INFO zookeeper.ClientCnxn: Socket connection established to hadoop102/192.168.80.102:2181, initiating session
14/02/12 07:32:14 INFO zookeeper.ClientCnxn: Session establishment complete on server hadoop102/192.168.80.102:2181, sessionid = 0x6644234039710001, negotiated timeout = 5000
14/02/12 07:32:14 INFO ha.ActiveStandbyElector: Session connected.
14/02/12 07:32:14 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/cluster2 in ZK.
14/02/12 07:32:14 INFO zookeeper.ZooKeeper: Session: 0x6644234039710001 closed
14/02/12 07:32:14 INFO zookeeper.ClientCnxn: EventThread shut down

验证:

[root@hadoop103 hadoop]# zkCli.sh
Connecting to localhost:2181
2014-02-12 07:32:21,770 [myid:] - INFO [main:Environment@100] - Client environment:zookeeper.version=3.4.5-1392090, built on 09/30/2012 17:52 GMT
2014-02-12 07:32:21,786 [myid:] - INFO [main:Environment@100] - Client environment:host.name=hadoop103
2014-02-12 07:32:21,788 [myid:] - INFO [main:Environment@100] - Client environment:java.version=1.7.0_45
2014-02-12 07:32:21,789 [myid:] - INFO [main:Environment@100] - Client environment:java.vendor=Oracle Corporation
2014-02-12 07:32:21,789 [myid:] - INFO [main:Environment@100] - Client environment:java.home=/usr/local/jdk/jre
2014-02-12 07:32:21,790 [myid:] - INFO [main:Environment@100] - Client environment:java.class.path=/usr/local/zookeeper/bin/../build/classes:/usr/local/zookeeper/bin/../build/lib/*.jar:/usr/local/zookeeper/bin/../lib/slf4j-log4j12-1.6.1.jar:/usr/local/zookeeper/bin/../lib/slf4j-api-1.6.1.jar:/usr/local/zookeeper/bin/../lib/netty-3.2.2.Final.jar:/usr/local/zookeeper/bin/../lib/log4j-1.2.15.jar:/usr/local/zookeeper/bin/../lib/jline-0.9.94.jar:/usr/local/zookeeper/bin/../zookeeper-3.4.5.jar:/usr/local/zookeeper/bin/../src/java/lib/*.jar:/usr/local/zookeeper/bin/../conf:/usr/local/hadoop
2014-02-12 07:32:21,791 [myid:] - INFO [main:Environment@100] - Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib
2014-02-12 07:32:21,792 [myid:] - INFO [main:Environment@100] - Client environment:java.io.tmpdir=/tmp
2014-02-12 07:32:21,793 [myid:] - INFO [main:Environment@100] - Client environment:java.compiler=<NA>
2014-02-12 07:32:21,793 [myid:] - INFO [main:Environment@100] - Client environment:os.name=Linux
2014-02-12 07:32:21,794 [myid:] - INFO [main:Environment@100] - Client environment:os.arch=amd64
2014-02-12 07:32:21,794 [myid:] - INFO [main:Environment@100] - Client environment:os.version=2.6.32-431.el6.x86_64
2014-02-12 07:32:21,795 [myid:] - INFO [main:Environment@100] - Client environment:user.name=root
2014-02-12 07:32:21,796 [myid:] - INFO [main:Environment@100] - Client environment:user.home=/root
2014-02-12 07:32:21,796 [myid:] - INFO [main:Environment@100] - Client environment:user.dir=/usr/local/hadoop
2014-02-12 07:32:21,801 [myid:] - INFO [main:ZooKeeper@438] - Initiating client connection, connectString=localhost:2181 sessionTimeout=30000 watcher=org.apache.zookeeper.ZooKeeperMain$MyWatcher@10636a7e
Welcome to ZooKeeper!
2014-02-12 07:32:21,850 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@966] - Opening socket connection to server 127.0.0.1/127.0.0.1:2181. Will not attempt to authenticate using SASL (unknown error)
JLine support is enabled
2014-02-12 07:32:21,868 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@849] - Socket connection established to 127.0.0.1/127.0.0.1:2181, initiating session
2014-02-12 07:32:21,906 [myid:] - INFO [main-SendThread(127.0.0.1:2181):ClientCnxn$SendThread@1207] - Session establishment complete on server 127.0.0.1/127.0.0.1:2181, sessionid = 0x6744234039810002, negotiated timeout = 30000

WATCHER::

WatchedEvent state:SyncConnected type:None path:null
[zk: localhost:2181(CONNECTED) 0] ls /
[hadoop-ha, zookeeper]
[zk: localhost:2181(CONNECTED) 1] ls /hadoop-ha
[cluster2, cluster1]
[zk: localhost:2181(CONNECTED) 2]

【集群c2也格式化,产生一个新的ZK节点cluster2】

4.启动JournalNode集群

在hadoop101、hadoop102、hadoop103上分别执行命令:/usr/local/hadoop/sbin/hadoop-daemon.sh start journalnode

命令输出(以hadoop101为例):

[root@hadoop101 hadoop]# /usr/local/hadoop/sbin/hadoop-daemon.sh start journalnode
starting journalnode, logging to /usr/local/hadoop/logs/hadoop-root-journalnode-hadoop101.out
[root@hadoop101 hadoop]#

在每个节点执行完启动命令后,每个节点都执行以下验证。

验证(以hadoop101为例):

[root@hadoop101 hadoop]# jps
23396 JournalNode
23598 Jps
22491 QuorumPeerMain
[root@hadoop101 hadoop]#

【产生一个java进程JournalNode】

查看一下目录结构

[root@hadoop101 hadoop]# jps
23396 JournalNode
22491 QuorumPeerMain
23445 Jps

[root@hadoop101 hadoop]# pwd
/usr/local/hadoop
[root@hadoop101 hadoop]# ls tmp/
journal
[root@hadoop101 hadoop]#

【启动JournalNode后,会在本地磁盘产生一个目录,用户保存NameNode的edits文件的数据】

5.格式化集群c1的一个NameNode

从hadoop101和hadoop102中任选一个即可,这里选择的是hadoop101

在hadoop101执行以下命令:/usr/local/hadoop/bin/hdfs namenode -format -clusterId c1

命令输出:

[root@hadoop101 hadoop]# /usr/local/hadoop/bin/hdfs namenode -format -clusterId c1
14/02/12 08:07:59 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:  host = hadoop101/192.168.80.101
STARTUP_MSG:  args = [-format, -clusterId, c1]
STARTUP_MSG:  version = 2.2.0
STARTUP_MSG:  classpath = /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jets3t-0.6.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.4.5.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/stax-api-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/junit-4.8.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/yarn/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-site-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.2.0.jar:/contrib/capacity-scheduler/*.jar
STARTUP_MSG:  build = Unknown -r Unknown; compiled by 'root' on 2013-12-26T08:50Z
STARTUP_MSG:  java = 1.7.0_45
************************************************************/
14/02/12 08:07:59 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
Formatting using clusterid: c1
14/02/12 08:08:01 INFO namenode.HostFileManager: read includes:
HostSet(
)
14/02/12 08:08:01 INFO namenode.HostFileManager: read excludes:
HostSet(
)
14/02/12 08:08:01 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
14/02/12 08:08:01 INFO util.GSet: Computing capacity for map BlocksMap
14/02/12 08:08:01 INFO util.GSet: VM type      = 64-bit
14/02/12 08:08:01 INFO util.GSet: 2.0% max memory = 966.7 MB
14/02/12 08:08:01 INFO util.GSet: capacity     = 2^21 = 2097152 entries
14/02/12 08:08:01 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
14/02/12 08:08:01 INFO blockmanagement.BlockManager: defaultReplication        = 2
14/02/12 08:08:01 INFO blockmanagement.BlockManager: maxReplication            = 512
14/02/12 08:08:01 INFO blockmanagement.BlockManager: minReplication            = 1
14/02/12 08:08:01 INFO blockmanagement.BlockManager: maxReplicationStreams     = 2
14/02/12 08:08:01 INFO blockmanagement.BlockManager: shouldCheckForEnoughRacks = false
14/02/12 08:08:01 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
14/02/12 08:08:01 INFO blockmanagement.BlockManager: encryptDataTransfer       = false
14/02/12 08:08:01 INFO namenode.FSNamesystem: fsOwner            = root (auth:SIMPLE)
14/02/12 08:08:01 INFO namenode.FSNamesystem: supergroup         = supergroup
14/02/12 08:08:01 INFO namenode.FSNamesystem: isPermissionEnabled = true
14/02/12 08:08:01 INFO namenode.FSNamesystem: Determined nameservice ID: cluster1
14/02/12 08:08:01 INFO namenode.FSNamesystem: HA Enabled: true
14/02/12 08:08:01 INFO namenode.FSNamesystem: Append Enabled: true
14/02/12 08:08:01 INFO util.GSet: Computing capacity for map INodeMap
14/02/12 08:08:01 INFO util.GSet: VM type      = 64-bit
14/02/12 08:08:01 INFO util.GSet: 1.0% max memory = 966.7 MB
14/02/12 08:08:01 INFO util.GSet: capacity     = 2^20 = 1048576 entries
14/02/12 08:08:01 INFO namenode.NameNode: Caching file names occuring more than 10 times
14/02/12 08:08:01 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
14/02/12 08:08:01 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
14/02/12 08:08:01 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension    = 30000
14/02/12 08:08:01 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
14/02/12 08:08:01 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
14/02/12 08:08:01 INFO util.GSet: Computing capacity for map Namenode Retry Cache
14/02/12 08:08:01 INFO util.GSet: VM type      = 64-bit
14/02/12 08:08:01 INFO util.GSet: 0.029999999329447746% max memory = 966.7 MB
14/02/12 08:08:01 INFO util.GSet: capacity     = 2^15 = 32768 entries
14/02/12 08:08:03 INFO common.Storage: Storage directory /usr/local/hadoop/tmp/dfs/name has been successfully formatted.
14/02/12 08:08:04 INFO namenode.FSImage: Saving image file /usr/local/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression
14/02/12 08:08:04 INFO namenode.FSImage: Image file /usr/local/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 196 bytes saved in 0 seconds.
14/02/12 08:08:04 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
14/02/12 08:08:04 INFO util.ExitUtil: Exiting with status 0
14/02/12 08:08:04 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at hadoop101/192.168.80.101
************************************************************/
[root@hadoop101 hadoop]#

验证:

[root@hadoop101 hadoop]# ls tmp/
dfs journal
[root@hadoop101 hadoop]# ls tmp/dfs/
name

【格式化NameNode会在磁盘产生一个目录,用于保存NameNode的fsimage、edits等文件】

6.启动c1中刚才格式化的NameNode

在hadoop101上执行命令:/usr/local/hadoop/sbin/hadoop-daemon.sh start namenode

命令输出:

[root@hadoop101 hadoop]# /usr/local/hadoop/sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /usr/local/hadoop/logs/hadoop-root-namenode-hadoop101.out

验证:

[root@hadoop101 hadoop]# jps
23396 JournalNode
23598 Jps
23558 NameNode
22491 QuorumPeerMain
[root@hadoop101 hadoop]#

【启动后,产生一个新的java进程NameNode】

通过浏览器访问,也可以看到下图所示

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

7.把NameNode的数据从hadoop101同步到hadoop102中

在hadoop102上执行命令:/usr/local/hadoop/bin/hdfs namenode –bootstrapStandby

命令输出:

[root@hadoop102 hadoop]# /usr/local/hadoop/bin/hdfs namenode -bootstrapStandby
14/02/12 08:17:44 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:  host = hadoop102/192.168.80.102
STARTUP_MSG:  args = [-bootstrapStandby]
STARTUP_MSG:  version = 2.2.0
STARTUP_MSG:  classpath = /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jets3t-0.6.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.4.5.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/stax-api-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/junit-4.8.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/yarn/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-site-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.2.0.jar:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
STARTUP_MSG:  build = Unknown -r Unknown; compiled by 'root' on 2013-12-26T08:50Z
STARTUP_MSG:  java = 1.7.0_45
************************************************************/
14/02/12 08:17:44 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
=====================================================
About to bootstrap Standby ID hadoop102 from:
          Nameservice ID: cluster1
       Other Namenode ID: hadoop101
 Other NN's HTTP address: hadoop101:50070
 Other NN's IPC address: hadoop101/192.168.80.101:9000
            Namespace ID: 1496717450
           Block pool ID: BP-2022554027-192.168.80.101-1392164061887
              Cluster ID: c1
          Layout version: -47
=====================================================
14/02/12 08:17:48 INFO common.Storage: Storage directory /usr/local/hadoop/tmp/dfs/name has been successfully formatted.
14/02/12 08:17:48 INFO namenode.TransferFsImage: Opening connection tohttp://hadoop101:50070/getimage?getimage=1&txid=0&storageInfo=-47:1496717450:0:c1
14/02/12 08:17:48 INFO namenode.TransferFsImage: Transfer took 0.18s at 0.00 KB/s
14/02/12 08:17:48 INFO namenode.TransferFsImage: Downloaded file fsimage.ckpt_0000000000000000000 size 196 bytes.
14/02/12 08:17:48 INFO util.ExitUtil: Exiting with status 0
14/02/12 08:17:48 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at hadoop102/192.168.80.102
************************************************************/
[root@hadoop102 hadoop]#

验证:

[root@hadoop102 hadoop]# ls tmp/
dfs journal
[root@hadoop102 hadoop]# ls tmp/dfs/
name
[root@hadoop102 hadoop]#

【在tmp目录下产生一个目录name】

8.启动c1中另一个Namenode

在hadoop102上执行命令:/usr/local/hadoop/sbin/hadoop-daemon.sh start namenode

命令输出:

[root@hadoop102 hadoop]# /usr/local/hadoop/sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /usr/local/hadoop/logs/hadoop-root-namenode-hadoop102.out

验证:

[root@hadoop102 hadoop]# jps
12355 JournalNode
12611 Jps
12573 NameNode
12081 QuorumPeerMain
[root@hadoop102 hadoop]#

【产生java进程NameNode】

通过浏览器访问,也可以看到下图所示

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

9.格式化集群c2的一个NameNode

从hadoop103和hadoop104中任选一个即可,这里选择的是hadoop103

在hadoop103执行以下命令:/usr/local/hadoop/bin/hdfs namenode -format -clusterId c2

命令输出:

[root@hadoop103 hadoop]# /usr/local/hadoop/bin/hdfs namenode -format -clusterId c2
14/02/12 08:23:28 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:  host = hadoop103/192.168.80.103
STARTUP_MSG:  args = [-format, -clusterId, c2]
STARTUP_MSG:  version = 2.2.0
STARTUP_MSG:  classpath = /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jets3t-0.6.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.4.5.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/stax-api-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/junit-4.8.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/yarn/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-site-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.2.0.jar:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
STARTUP_MSG:  build = Unknown -r Unknown; compiled by 'root' on 2013-12-26T08:50Z
STARTUP_MSG:  java = 1.7.0_45
************************************************************/
14/02/12 08:23:28 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
14/02/12 08:23:30 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Formatting using clusterid: c2
14/02/12 08:23:31 INFO namenode.HostFileManager: read includes:
HostSet(
)
14/02/12 08:23:31 INFO namenode.HostFileManager: read excludes:
HostSet(
)
14/02/12 08:23:31 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
14/02/12 08:23:31 INFO util.GSet: Computing capacity for map BlocksMap
14/02/12 08:23:31 INFO util.GSet: VM type      = 64-bit
14/02/12 08:23:31 INFO util.GSet: 2.0% max memory = 966.7 MB
14/02/12 08:23:31 INFO util.GSet: capacity     = 2^21 = 2097152 entries
14/02/12 08:23:31 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
14/02/12 08:23:31 INFO blockmanagement.BlockManager: defaultReplication        = 2
14/02/12 08:23:31 INFO blockmanagement.BlockManager: maxReplication            = 512
14/02/12 08:23:31 INFO blockmanagement.BlockManager: minReplication            = 1
14/02/12 08:23:31 INFO blockmanagement.BlockManager: maxReplicationStreams     = 2
14/02/12 08:23:31 INFO blockmanagement.BlockManager: shouldCheckForEnoughRacks = false
14/02/12 08:23:31 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
14/02/12 08:23:31 INFO blockmanagement.BlockManager: encryptDataTransfer       = false
14/02/12 08:23:31 INFO namenode.FSNamesystem: fsOwner            = root (auth:SIMPLE)
14/02/12 08:23:31 INFO namenode.FSNamesystem: supergroup         = supergroup
14/02/12 08:23:31 INFO namenode.FSNamesystem: isPermissionEnabled = true
14/02/12 08:23:31 INFO namenode.FSNamesystem: Determined nameservice ID: cluster2
14/02/12 08:23:31 INFO namenode.FSNamesystem: HA Enabled: true
14/02/12 08:23:31 INFO namenode.FSNamesystem: Append Enabled: true
14/02/12 08:23:31 INFO util.GSet: Computing capacity for map INodeMap
14/02/12 08:23:31 INFO util.GSet: VM type      = 64-bit
14/02/12 08:23:31 INFO util.GSet: 1.0% max memory = 966.7 MB
14/02/12 08:23:31 INFO util.GSet: capacity     = 2^20 = 1048576 entries
14/02/12 08:23:31 INFO namenode.NameNode: Caching file names occuring more than 10 times
14/02/12 08:23:31 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
14/02/12 08:23:31 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
14/02/12 08:23:31 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension    = 30000
14/02/12 08:23:31 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
14/02/12 08:23:31 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
14/02/12 08:23:31 INFO util.GSet: Computing capacity for map Namenode Retry Cache
14/02/12 08:23:31 INFO util.GSet: VM type      = 64-bit
14/02/12 08:23:31 INFO util.GSet: 0.029999999329447746% max memory = 966.7 MB
14/02/12 08:23:31 INFO util.GSet: capacity     = 2^15 = 32768 entries
14/02/12 08:23:33 INFO common.Storage: Storage directory /usr/local/hadoop/tmp/dfs/name has been successfully formatted.
14/02/12 08:23:33 INFO namenode.FSImage: Saving image file /usr/local/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression
14/02/12 08:23:33 INFO namenode.FSImage: Image file /usr/local/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 196 bytes saved in 0 seconds.
14/02/12 08:23:33 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
14/02/12 08:23:33 INFO util.ExitUtil: Exiting with status 0
14/02/12 08:23:33 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at hadoop103/192.168.80.103
************************************************************/
[root@hadoop103 hadoop]#

【上面的输出可以看到/usr/local/hadoop/tmp/dfs/name 被成功格式化了】

验证:

[root@hadoop103 hadoop]# ls tmp/
dfs journal
[root@hadoop103 hadoop]# ls tmp/dfs/
name
[root@hadoop103 hadoop]#

10.启动c2中刚才格式化的NameNode

在hadoop103上执行命令:/usr/local/hadoop/sbin/hadoop-daemon.sh start namenode

命令输出:

[root@hadoop103 hadoop]# /usr/local/hadoop/sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /usr/local/hadoop/logs/hadoop-root-namenode-hadoop103.out
[root@hadoop103 hadoop]#

验证:

[root@hadoop103 hadoop]# jps
11290 JournalNode
11560 NameNode
10972 QuorumPeerMain
11600 Jps
[root@hadoop103 hadoop]#

也可以通过浏览器访问http://hadoop103:50070,可以看到如上图页面,此处省略截图。

11.把NameNode的数据从hadoop103同步到hadoop104中

在hadoop104上执行命令:/usr/local/hadoop/bin/hdfs namenode –bootstrapStandby

命令输出:

[root@hadoop104 hadoop]# /usr/local/hadoop/bin/hdfs namenode -bootstrapStandby
14/02/12 08:28:30 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:  host = hadoop104/192.168.80.104
STARTUP_MSG:  args = [-bootstrapStandby]
STARTUP_MSG:  version = 2.2.0
STARTUP_MSG:  classpath = /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jets3t-0.6.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.4.5.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/stax-api-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/junit-4.8.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/yarn/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-site-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hadoop-annotations-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-io-2.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/junit-4.10.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.2.0.jar:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
STARTUP_MSG:  build = Unknown -r Unknown; compiled by 'root' on 2013-12-26T08:50Z
STARTUP_MSG:  java = 1.7.0_45

************************************************************/
14/02/12 08:28:35 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
=====================================================
About to bootstrap Standby ID hadoop104 from:
          Nameservice ID: cluster2
       Other Namenode ID: hadoop103
 Other NN's HTTP address: hadoop103:50070
 Other NN's IPC address: hadoop103/192.168.80.103:9000
            Namespace ID: 698609742
           Block pool ID: BP-1304582337-192.168.80.103-1392164613254
              Cluster ID: c2
          Layout version: -47
=====================================================
14/02/12 08:28:39 INFO common.Storage: Storage directory /usr/local/hadoop/tmp/dfs/name has been successfully formatted.
14/02/12 08:28:39 INFO namenode.TransferFsImage: Opening connection tohttp://hadoop103:50070/getimage?getimage=1&txid=0&storageInfo=-47:698609742:0:c2
14/02/12 08:28:40 INFO namenode.TransferFsImage: Transfer took 0.67s at 0.00 KB/s
14/02/12 08:28:40 INFO namenode.TransferFsImage: Downloaded file fsimage.ckpt_0000000000000000000 size 196 bytes.
14/02/12 08:28:40 INFO util.ExitUtil: Exiting with status 0
14/02/12 08:28:40 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at hadoop104/192.168.80.104
************************************************************/

验证:

[root@hadoop104 hadoop]# pwd
/usr/local/hadoop
[root@hadoop104 hadoop]# ls tmp/
dfs
[root@hadoop104 hadoop]# ls tmp/dfs/
name
[root@hadoop104 hadoop]#

12.启动c2中另一个Namenode

在hadoop104上执行命令:/usr/local/hadoop/sbin/hadoop-daemon.sh start namenode

命令输出:

[root@hadoop104 hadoop]# /usr/local/hadoop/sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /usr/local/hadoop/logs/hadoop-root-namenode-hadoop104.out
[root@hadoop104 hadoop]#

验证:

[root@hadoop104 hadoop]# jps
8822 NameNode
8975 Jps
[root@hadoop104 hadoop]#

也可以通过浏览器访问http://hadoop104:50070,可以看到如上图页面,此处省略截图。

13.启动所有的DataNode

在hadoop101上执行命令:/usr/local/hadoop/sbin/hadoop-daemons.sh start datanode

命令输出:

[root@hadoop101 hadoop]# /usr/local/hadoop/sbin/hadoop-daemons.sh start datanode
hadoop101: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-hadoop101.out
hadoop103: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-hadoop103.out
hadoop102: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-hadoop102.out
hadoop104: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-hadoop104.out
[root@hadoop101 hadoop]#

【上述命令会在四个节点分别启动DataNode进程】

验证(以hadoop101为例):

[root@hadoop101 hadoop]# jps
23396 JournalNode
24302 Jps
24232 DataNode
23558 NameNode
22491 QuorumPeerMain
[root@hadoop101 hadoop]#

【可以看到java进程DataNode】

14.启动Yarn

在hadoop101上执行命令:/usr/local/hadoop/sbin/start-yarn.sh

命令输出:

[root@hadoop101 hadoop]# /usr/local/hadoop/sbin/start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /usr/local/hadoop/logs/yarn-root-resourcemanager-hadoop101.out
hadoop104: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-hadoop104.out
hadoop103: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-hadoop103.out
hadoop102: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-hadoop102.out
hadoop101: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-hadoop101.out
[root@hadoop101 hadoop]#

验证:

[root@hadoop101 hadoop]# jps
23396 JournalNode
25154 ResourceManager
25247 NodeManager
24232 DataNode
23558 NameNode
22491 QuorumPeerMain
25281 Jps
[root@hadoop101 hadoop]#

【产生java进程ResourceManager和NodeManager】

也可以通过浏览器访问,如下图

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

15.启动ZooKeeperFailoverController

在hadoop101、hadoop102、hadoop103、hadoop104上分别执行命令:/usr/local/hadoop/sbin/hadoop-daemon.sh start zkfc

命令输出(以hadoop101为例):

[root@hadoop101 hadoop]# /usr/local/hadoop/sbin/hadoop-daemon.sh start zkfc
starting zkfc, logging to /usr/local/hadoop/logs/hadoop-root-zkfc-hadoop101.out
[root@hadoop101 hadoop]#

验证(以hadoop101为例):

[root@hadoop101 hadoop]# jps
24599 DFSZKFailoverController
23396 JournalNode
24232 DataNode
23558 NameNode
22491 QuorumPeerMain
24654 Jps
[root@hadoop101 hadoop]#

【产生java进程DFSZKFailoverController】

16.验证HDFS是否好用

在任意一个节点上执行以下命令(这里以hadoop101为例),把数据上传到HDFS集群中

[root@hadoop101 hadoop]# pwd
/usr/local/hadoop/etc/hadoop
[root@hadoop101 hadoop]# ls
capacity-scheduler.xml     hadoop-metrics.properties httpfs-site.xml            ssl-server.xml.example
configuration.xsl          hadoop-policy.xml         log4j.properties           startall.sh
container-executor.cfg     hdfs2-site.xml            mapred-env.sh              yarn-env.sh
core-site.xml              hdfs-site.xml             mapred-queues.xml.template yarn-site.xml
fairscheduler.xml          httpfs-env.sh             mapred-site.xml            zookeeper.out
hadoop-env.sh              httpfs-log4j.properties   slaves
hadoop-metrics2.properties httpfs-signature.secret   ssl-client.xml.example
[root@hadoop101 hadoop]# hadoop fs -put core-site.xml /

【上传到集群中,默认是上传到HDFS联盟的c1集群中】

验证:
[root@hadoop101 hadoop]# hadoop fs -ls /
Found 1 items
-rw-r--r--  2 root supergroup       446 2014-02-12 09:00 /core-site.xml
[root@hadoop101 hadoop]#
也可以通过浏览器查看,数据默认是放在第一个集群中的

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

17.验证Yarn是否好用

在hadoop101上执行以下命令 hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar  wordcount /core-site.xml /out

命令输出:

[root@hadoop101 hadoop]# hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar  wordcount /core-site.xml /out
14/02/12 11:43:55 INFO client.RMProxy: Connecting to ResourceManager at hadoop101/192.168.80.101:8032
14/02/12 11:43:59 INFO input.FileInputFormat: Total input paths to process : 1
14/02/12 11:43:59 INFO mapreduce.JobSubmitter: number of splits:1
14/02/12 11:43:59 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name
14/02/12 11:43:59 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
14/02/12 11:43:59 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
14/02/12 11:43:59 INFO Configuration.deprecation: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class
14/02/12 11:43:59 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class
14/02/12 11:43:59 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name
14/02/12 11:43:59 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class
14/02/12 11:43:59 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
14/02/12 11:43:59 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
14/02/12 11:43:59 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
14/02/12 11:43:59 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
14/02/12 11:43:59 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
14/02/12 11:44:01 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1392169506119_0002
14/02/12 11:44:04 INFO impl.YarnClientImpl: Submitted application application_1392169506119_0002 to ResourceManager at hadoop101/192.168.80.101:8032
14/02/12 11:44:05 INFO mapreduce.Job: The url to track the job:http://hadoop101:8088/proxy/application_1392169506119_0002/
14/02/12 11:44:05 INFO mapreduce.Job: Running job: job_1392169506119_0002
14/02/12 11:44:41 INFO mapreduce.Job: Job job_1392169506119_0002 running in uber mode : false
14/02/12 11:44:41 INFO mapreduce.Job: map 0% reduce 0%
14/02/12 11:45:37 INFO mapreduce.Job: map 100% reduce 0%
14/02/12 11:46:54 INFO mapreduce.Job: map 100% reduce 100%
14/02/12 11:47:01 INFO mapreduce.Job: Job job_1392169506119_0002 completed successfully
14/02/12 11:47:02 INFO mapreduce.Job: Counters: 43
       File System Counters
               FILE: Number of bytes read=472
               FILE: Number of bytes written=164983
               FILE: Number of read operations=0
               FILE: Number of large read operations=0
               FILE: Number of write operations=0
               HDFS: Number of bytes read=540
               HDFS: Number of bytes written=402
               HDFS: Number of read operations=6
               HDFS: Number of large read operations=0
               HDFS: Number of write operations=2
       Job Counters
               Launched map tasks=1
               Launched reduce tasks=1
               Data-local map tasks=1
               Total time spent by all maps in occupied slots (ms)=63094
               Total time spent by all reduces in occupied slots (ms)=57228
       Map-Reduce Framework
               Map input records=17
               Map output records=20
               Map output bytes=496
               Map output materialized bytes=472
               Input split bytes=94
               Combine input records=20
               Combine output records=16
               Reduce input groups=16
               Reduce shuffle bytes=472
               Reduce input records=16
               Reduce output records=16
               Spilled Records=32
               Shuffled Maps =1
               Failed Shuffles=0
               Merged Map outputs=1
               GC time elapsed (ms)=632
               CPU time spent (ms)=3010
               Physical memory (bytes) snapshot=255528960
               Virtual memory (bytes) snapshot=1678471168
               Total committed heap usage (bytes)=126660608
       Shuffle Errors
               BAD_ID=0
               CONNECTION=0
               IO_ERROR=0
               WRONG_LENGTH=0
               WRONG_MAP=0
               WRONG_REDUCE=0
       File Input Format Counters
               Bytes Read=446
       File Output Format Counters
               Bytes Written=402
[root@hadoop101 hadoop]#
验证:

[root@hadoop101 hadoop]# hadoop fs -ls /out
Found 2 items
-rw-r--r--  2 root supergroup         0 2014-02-12 11:46 /out/_SUCCESS
-rw-r--r--  2 root supergroup       402 2014-02-12 11:46 /out/part-r-00000
[root@hadoop101 hadoop]# hadoop fs -text /out/part-r-00000
</configuration>       1
</property>    3
<?xml  1
<?xml-stylesheet       1
<configuration> 1
<name>fs.defaultFS</name>      1
<name>ha.zookeeper.quorum</name>       1
<name>hadoop.tmp.dir</name>    1
<property>     3
<value>/usr/local/hadoop/tmp</value>   1
<value>hadoop101:2181,hadoop102:2181,hadoop103:2181</value>    1
<value>hdfs://cluster1</value> 1
encoding="UTF-8"?>     1
href="configuration.xsl"?>     1
type="text/xsl" 1
version="1.0"  1
[root@hadoop101 hadoop]#

18.验证HA的故障自动转移是否好用

观察cluster1的两个NameNode的状态,hadoop101的状态是standby,hadoop102的状态是active,如下图。

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

下面我们杀死hadoop102的NameNode进程,观察hadoop101的状态是否会自动切换成active。

在hadoop102执行以下命令

[root@hadoop102 hadoop]# jps
13389 DFSZKFailoverController
12355 JournalNode
13056 DataNode
15660 Jps
14496 NodeManager
12573 NameNode
12081 QuorumPeerMain
[root@hadoop102 hadoop]# kill -9 12573
[root@hadoop102 hadoop]# jps
13389 DFSZKFailoverController
12355 JournalNode
13056 DataNode
14496 NodeManager
15671 Jps
12081 QuorumPeerMain
[root@hadoop102 hadoop]#

再观察页面,发现如下图所示

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

证明HDFS的高可靠是可用的。

结语

   以上是hadoop2.2.0的HDFS集群HA配置和自动切换、HDFS federation配置、Yarn配置的详细过程,这绝对是国内互联网第一篇详细讲述这些配置的文章,大家可以根据以上步骤搭建。在搭建过程中,一定要注意命令的执行顺序和每一步的验证工作。

   对于以上的这套安装步骤,是作者在尝试很多遍不同配置方法之后总结出来的,尽可能的减少配置参数,并对其中的各项配置参数进行了详细注释,帮助大家了解搭建原理。

   对于linux环境服务器如何准备、hadoop2.2.0在64位平台如何编译源代码、以及操作,请关注吴超沉思录,近期会推出视频教程,更加详细,更加完整,更加实用。

   本教程是作者一边执行步骤、一边录制脚本、一边截图、一边写文档,非常耗费精力,花费约六个小时完成的。请尊重作者劳动,转载注明出处。

federation 国内第一篇详细讲解hadoop2的automatic HA+Federation+Yarn配置的教程

三 : 配置VPS上中Gzip压缩详细教程

如果你要进行测试或安装,请一个一个字认真阅读!

步骤一:

打开IIS界面 > 选择"网站" > 右键属性 > 选择"服务"> 按照图中打钩,其中"临时目录的最大容量"与"临时目录"依据自身自行更改设置,特别注意,要给予临时目录 User权限(写入、修改、读取)。

步骤二:

选择"Web服务扩展" > 在右侧空白处右"键新Web服务扩展" > 按照图输入相关,"设置扩展状态为可选"打钩,"添加文件"很可能由于每个人服务器配置不同,请自行搜索下(或者按照图中打入,看看是否存在)

步骤三:

开始 > 运行中输入 c:windowssystem32inetsrv (如果错误,请按照图中输入)> 找到 MeteBase.xml,复制一份到桌面(并更改为 bak_MeteBase.xml),作为备份。

步骤四:

用文本等工具打开 MeteBase.xml > 搜索 Location ="/LM/W3SVC/Filters/Compression/gzip"

以下教程,部分不给予太多说明,只要按照以下配置,一般不会出现问题(由于自身在配置时,很顺利,如果有遇到问题,首先请详细核对步骤3次,如果都正确,依然问题存在的话,请回复告知)

然后,你将看到如下代码(仔细核对下段落)
<IIsCompressionScheme Location ="/LM/W3SVC/Filters/Compression/deflate"
HcCompressionDll="%windir%system32inetsrvgzip.dll"
HcCreateFlags="0"
HcDoDynamicCompression="TRUE"
HcDoOnDemandCompression="TRUE"
HcDoStaticCompression="FALSE"
HcDynamicCompressionLevel="0"
HcFileExtensions="htm
html
txt"
HcOnDemandCompLevel="10"
HcPriority="1"
HcScriptFileExtensions="asp
dll
exe"
>
</IIsCompressionScheme>
<IIsCompressionScheme Location ="/LM/W3SVC/Filters/Compression/gzip"
HcCompressionDll="%windir%system32inetsrvgzip.dll"
HcCreateFlags="1"
HcDoDynamicCompression="TRUE"
HcDoOnDemandCompression="TRUE"
HcDoStaticCompression="TRUE"
HcDynamicCompressionLevel="0"
HcFileExtensions="htm
html
txt"
HcOnDemandCompLevel="10"
HcPriority="1"
HcScriptFileExtensions="asp
dll
exe"
>
</IIsCompressionScheme>
替换成:
<IIsCompressionScheme Location ="/LM/W3SVC/Filters/Compression/gzip"
HcCompressionDll="%windir%system32inetsrvgzip.dll"
HcCreateFlags="1"
HcDoDynamicCompression="TRUE"
HcDoOnDemandCompression="TRUE"
HcDoStaticCompression="TRUE"
HcDynamicCompressionLevel="10"
HcFileExtensions="html
css
js
htm
xml
txt"
HcOnDemandCompLevel="10"
HcPriority="1"
HcScriptFileExtensions="php
dll"
>
</IIsCompressionScheme>
<IIsCompressionScheme Location ="/LM/W3SVC/Filters/Compression/deflate"
HcCompressionDll="%windir%system32inetsrvgzip.dll"
HcCreateFlags="2"
HcDoDynamicCompression="TRUE"
HcDoOnDemandCompression="TRUE"
HcDoStaticCompression="TRUE"
HcDynamicCompressionLevel="10"
HcFileExtensions="html
css
js
htm
xml
txt"
HcOnDemandCompLevel="10"
HcPriority="1"
HcScriptFileExtensions="php
dll"
>
</IIsCompressionScheme>

红色部分为你要压缩的文件类型,请自行增加。上方为静态类文件,下方为动态类文件。

蓝色部分为压缩等级,数值为 0-10 ,请自行根据服务器硬件等环境来做调试(可以先用文章开头时提到的网址,先测试并记录"未开启任何Gzip的数值"与"开启Discuz6.1后台 Gzip数值",然后配置完成,再记录"开启IIS6下的Gzip时的数值",3个就可以进行对比了)

然后请先保存到桌面,名为 MeteBase.xml

步骤五:

我的电脑 > 控制面板 > 管理工具 > 服务,找到 IIS Admin Service >停止

步骤六:

回到找到 MeteBase.xml 的目录,删除它

步骤七:

在步骤四的最后,让大家保存到了桌面,现在我们剪切它。

步骤八:

回到刚才删除 MeteBase.xml 的地方,把从桌面剪切的粘贴进来

步骤九:

在步骤五中,我们停止了 IIS Admin Service 服务,现在,我们点启动它。(图与步骤五一样,所以请以实际的为准)

步骤十:

回到II6中,对其进行重启IIS

到此,就配置完毕了!以上教程可能对于部分人来啰嗦,但出于配置考虑,比较详细,欢迎来笔者的网站测试效果,济南大圣网络 www.dashengweb.com,转载请注明出处,谢谢!

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