1.更改Linux主機名,每一個人都有配置java
vim /etc/sysconfig/network
NETWORKING=yes
HOSTNAME=hadoop-server1
node
3.改動主機名和IP的映射關係shell
vim /etc/hosts
192.168.146.181 hadoop-server1
192.168.146.182 hadoop-server2
192.168.146.183 hadoop-server3
192.168.146.184 hadoop-server4
192.168.146.185 hadoop-server5apache
4.關閉防火牆 bootstrap
#查看防火牆狀態
service iptables status
#關閉防火牆
service iptables stop
#查看防火牆開機啓動狀態
chkconfig iptables --list
#關閉防火牆開機啓動
chkconfig iptables off
vim
前4步用root用戶操做,操做完後從新啓動機器瀏覽器
5.ssh免登錄hadoop用戶操做app
#生成ssh免登錄密鑰
#進入到個人home文件夾
cd ~/.ssh
ssh-keygen -t rsa (四個回車)
運行完這個命令後,會生成兩個文件id_rsa(私鑰)、id_rsa.pub(公鑰)
將公鑰複製到要免密登錄的目標機器上
ssh-copy-id hadoop-server2
框架
6.安裝JDK,配置環境變量等root用戶操做ssh
vim /etc/proflie
export JAVA_HOME=/usr/java/jdk1.7.0_65
export HADOOP_HOME=/itcast/hadoop-2.4.1
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
source /etc/profile
集羣規劃:
主機名 IP 安裝軟件 執行進程
hadoop-server1 192.168.146.181:jdk、hadoop namenode resourcemanage DFSZKFailoverController(zkfc)
hadoop-server2 192.168.146.182:jdk、hadoop namenode resourcemanage DFSZKFailoverController(zkfc)
hadoop-server3 192.168.146.183:jdk、hadoop、zookeeper datanode nodemanage journalnode QuorumPeerMain
hadoop-server4 192.168.146.184:jdk、hadoop、zookeeper datanode nodemanage journalnode QuorumPeerMain
hadoop-server5 192.168.146.185:jdk、hadoop、zookeeper datanode nodemanage journalnode QuorumPeerMain
安裝步驟:
1.安裝配置zooekeeper集羣(在hadoop-server3上)
1.1解壓
tar -zxvf zookeeper-3.4.5.tar.gz -C /home/hadoop/app/
1.2改動配置
cd /home/hadoop/app/zookeeper-3.4.5/conf/
cp zoo_sample.cfg zoo.cfg
vim zoo.cfg
改動:dataDir=/home/hadoop/app/zookeeper-3.4.5/data
在最後加入:
server.1=hadoop-server3:2888:3888
server.2=hadoop-server4:2888:3888
server.3=hadoop-server5:2888:3888
保存退出
而後建立一個tmp目錄
mkdir /home/hadoop/app/zookeeper-3.4.5/data
再建立一個空文件
touch /home/hadoop/app/zookeeper-3.4.5/data/myid
最後向該文件寫入ID
echo 1 > /home/hadoop/app/zookeeper-3.4.5/data/myid
1.3將配置好的zookeeper複製到其它節點
scp -r /home/hadoop/app/zookeeper-3.4.5/ weekend06:/home/hadoop/app/
scp -r /home/hadoop/app/zookeeper-3.4.5/ weekend07:/home/hadoop/app/
注意:改動hadoop-server四、hadoop-server5相應/home/hadoop/app/zookeeper-3.4.5/data/myid內容
hadoop-server4:
echo 2 > /home/hadoop/app/zookeeper-3.4.5/data/myid
hadoop-server5:
echo 3 > /home/hadoop/app/zookeeper-3.4.5/data/myid
2.安裝配置hadoop集羣(在hadoop-server1上操做)
2.1解壓
tar -zxvf hadoop-2.4.1.tar.gz -C /weekend/
2.2配置HDFS(hadoop2.0所有的配置文件都在$HADOOP_HOME/etc/hadoop文件夾下)
#將hadoop加入到環境變量中
vim /etc/profile
export JAVA_HOME=/hadoop/home/app/jdk1.7.0_55
export HADOOP_HOME=/home/hadoop/app/hadoop-2.4.1
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin
#hadoop2.0的配置文件全部在$HADOOP_HOME/etc/hadoop下
cd /home/hadoop/app/hadoop-2.4.1/etc/hadoop
2.2.1改動hadoo-env.sh
export JAVA_HOME=/home/hadoop/app/jdk1.7.0_55
2.2.2改動core-site.xml
<configuration>
<!-- 指定hdfs的nameservice爲ns1 -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://ns1/</value>
</property>
<!-- 指定hadoop暫時文件夾 -->
<property>
<name>hadoop.tmp.dir</name>
<value>/home/hadoop/app/hadoop-2.4.1/tmp</value>
</property>
<!-- 指定zookeeper地址 -->
<property>
<name>ha.zookeeper.quorum</name>
<value>hadoop-server3:2181,hadoop-server3:2181,hadoop-server3:2181</value>
</property>
</configuration>
2.2.3改動hdfs-site.xml
<configuration>
<!--指定hdfs的nameservice爲ns1。需要和core-site.xml中的保持一致 -->
<property>
<name>dfs.nameservices</name>
<value>ns1</value>
</property>
<!-- ns1如下有兩個NameNode。各自是nn1,nn2 -->
<property>
<name>dfs.ha.namenodes.ns1</name>
<value>nn1,nn2</value>
</property>
<!-- nn1的RPC通訊地址 -->
<property>
<name>dfs.namenode.rpc-address.ns1.nn1</name>
<value>hadoop-server1:9000</value>
</property>
<!-- nn1的http通訊地址 -->
<property>
<name>dfs.namenode.http-address.ns1.nn1</name>
<value>hadoop-server1:50070</value>
</property>
<!-- nn2的RPC通訊地址 -->
<property>
<name>dfs.namenode.rpc-address.ns1.nn2</name>
<value>weekend02:9000</value>
</property>
<!-- nn2的http通訊地址 -->
<property>
<name>dfs.namenode.http-address.ns1.nn2</name>
<value>hadoop-server2:50070</value>
</property>
<!-- 指定NameNode的元數據在JournalNode上的存放位置 -->
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://hadoop-server3:8485;hadoop-server4:8485;hadoop-server5:8485/ns1</value>
</property>
<!-- 指定JournalNode在本地磁盤存放數據的位置 -->
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/home/hadoop/app/hadoop-2.4.1/journaldata</value>
</property>
<!-- 開啓NameNode失敗本身主動切換 -->
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<!-- 配置失敗本身主動切換實現方式 -->
<property>
<name>dfs.client.failover.proxy.provider.ns1</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<!-- 配置隔離機制方法,多個機制用換行切割。即每個機制暫用一行-->
<property>
<name>dfs.ha.fencing.methods</name>
<value>
sshfence
shell(/bin/true)
</value>
</property>
<!-- 使用sshfence隔離機制時需要ssh免登錄 -->
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/home/hadoop/.ssh/id_rsa</value>
</property>
<!-- 配置sshfence隔離機制超時時間 -->
<property>
<name>dfs.ha.fencing.ssh.connect-timeout</name>
<value>30000</value>
</property>
</configuration>
2.2.4改動mapred-site.xml
<configuration>
<!-- 指定mr框架爲yarn方式 -->
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
2.2.5改動yarn-site.xml
<configuration>
<!-- 開啓RM高可用 -->
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>
<!-- 指定RM的cluster id -->
<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>yrc</value>
</property>
<!-- 指定RM的名字 -->
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<!-- 分別指定RM的地址 -->
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>hadoop-server1</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>hadoop-server2</value>
</property>
<!-- 指定zk集羣地址 -->
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>hadoop-server3:2181,hadoop-server4:2181,hadoop-server5:2181</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
2.2.6改動slaves(slaves是指定子節點的位置)
hadoop-server3
hadoop-server4
hadoop-server5
2.2.7配置免password登錄
#首先要配置hadoop-server1到hadoop-server二、hadoop-server三、hadoop-server四、hadoop-server5的免password登錄
#在hadoop-server1上生產一對鑰匙
ssh-keygen -t rsa
#將公鑰複製到其它節點。包含本身
ssh-coyp-id hadoop-server1
ssh-coyp-id hadoop-server2
ssh-coyp-id hadoop-server3
ssh-coyp-id hadoop-server4
ssh-coyp-id hadoop-server5
#注意:resourcemanager到nodemanager要配置免密登陸
#注意:兩個namenode之間要配置ssh免password登錄,別忘了配置hadoop-server2到hadoop-server1的免登錄
在hadoop-server2上生產一對鑰匙
ssh-keygen -t rsa
ssh-coyp-id -i hadoop-server1
2.4將配置好的hadoop複製到其它節點
scp -r /home/hadoop/app/hadoop-2.4.1/ hadoop@hadoop-server2:/home/hadoop/app/
scp -r /home/hadoop/app/hadoop-2.4.1/ hadoop@hadoop-server3:/home/hadoop/app/
scp -r /home/hadoop/app/hadoop-2.4.1/ hadoop@hadoop-server4:/home/hadoop/app/
scp -r /home/hadoop/app/hadoop-2.4.1/ hadoop@hadoop-server5:/home/hadoop/app/
###注意:嚴格依照如下的步驟
2.5啓動zookeeper集羣(分別在hadoop-server三、hadoop-server四、hadoop-server5上啓動zk)
cd /home/hadoop/app/zookeeper-3.4.5/bin/
./zkServer.sh start
#查看狀態:一個leader。兩個follower
./zkServer.sh status
2.6啓動journalnode(分別在在hadoop-server三、hadoop-server四、hadoop-server5上運行)
cd /home/hadoop/app/hadoop-2.4.1
sbin/hadoop-daemon.sh start journalnode
#執行jps命令檢驗。hadoop-server三、hadoop-server四、hadoop-server5上多了JournalNode進程
2.7格式化HDFS
#在hadoop-server1上運行命令:
hdfs namenode -format
#格式化後會在依據core-site.xml中的hadoop.tmp.dir配置生成個文件,這裏我配置的是/home/hadoop/app/hadoop-2.4.1/tmp,而後將/home/hadoop/app/hadoop-2.4.1/tmp複製到hadoop-server2的/home/hadoop/app/hadoop-2.4.1/下。
scp -r tmp/ hadoop-server2:/home/hadoop/app/hadoop-2.4.1/
##也可以這樣,在hadoop-server2上運行命令:建議hdfs namenode -bootstrapStandby
2.8格式化ZKFC(在hadoop-server1上運行就能夠)
hdfs zkfc -formatZK
2.9啓動HDFS(在hadoop-server1上運行)
sbin/start-dfs.sh
2.10啓動YARN(#####注意#####:是在hadoop-server1上運行start-yarn.sh)
sbin/start-yarn.sh
在hadoop-server2上啓動 yyarn-daemon.sh start rescourcemanager
到此,hadoop-2.4.1配置完成。可以統計瀏覽器訪問:
http://192.168.146.181:50070
NameNode 'hadoop-server1:9000' (active)
http://192.168.146.182:50070
NameNode 'hadoop-server2:9000' (standby)
驗證HDFS HA
首先向hdfs上傳一個文件
hadoop fs -put /etc/profile /profile
hadoop fs -ls /
而後再kill掉active的NameNode
kill -9 <pid of NN>
經過瀏覽器訪問:http://192.168.146.182:50070
NameNode 'hadoop-server2:9000' (active)
這個時候hadoop-server2上的NameNode變成了active
在運行命令:
hadoop fs -ls /
-rw-r--r-- 3 root supergroup 1926 2015-06-24 15:36 /profile
剛纔上傳的文件依舊存在!。!
手動啓動那個掛掉的NameNode
sbin/hadoop-daemon.sh start namenode
經過瀏覽器訪問:http://192.168.146.181:50070
NameNode 'hadoop-server1:9000' (standby)
驗證YARN:
執行一下hadoop提供的demo中的WordCount程序:
hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.4.1.jar wordcount /profile /out
OK,大功告成!
。! 測試集羣工做狀態的一些指令 : bin/hdfs dfsadmin -report 查看hdfs的各節點狀態信息 bin/hdfs haadmin -getServiceState nn1 獲取一個namenode節點的HA狀態 sbin/hadoop-daemon.sh start namenode 單獨啓動一個namenode進程 ./hadoop-daemon.sh start zkfc 啓動一個單獨的zkfc流程