一、环境
系统 CentOS7.0 64位
namenode01 192.168.0.220
namenode02 192.168.0.221
datanode01 192.168.0.222
datanode02 192.168.0.223
datanode03 192.168.0.224
二、配置基础环境
在所有的机器上添加本地hosts文件解析
[[email protected] ~]# tail -5 /etc/hosts 192.168.0.220 namenode01 192.168.0.221 namenode02 192.168.0.222 datanode01 192.168.0.223 datanode02 192.168.0.224 datanode03
在5台机器上创建hadoop用户，并设置密码是hadoop，这里只以naemenode01为例子
[[email protected] ~]# useradd hadoop [[email protected] ~]# passwd hadoop Changing password for user hadoop. New password: BAD PASSWORD: The password is shorter than 8 characters Retype new password: passwd: all authentication tokens updated successfully.
配置5台机器hadoop用户之间互相免密码ssh登录
#namenode01的操作 [[email protected] ~]# su - hadoop [[email protected] ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Created directory ‘/home/hadoop/.ssh‘. Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: 1c:7e:89:9d:14:9a:10:fc:69:1e:11:3d:6d:18:a5:01 [email protected] The key‘s randomart image is: +--[ RSA 2048]----+ | .o.E++=. | | ...o++o | | .+ooo | | o== o | | oS.= | | .. | | | | | | | +-----------------+ [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [[email protected] ~]$ ssh namenode01 hostname namenode01 [[email protected] ~]$ ssh namenode02 hostname namenode02 [[email protected] ~]$ ssh datanode01 hostname datanode01 [[email protected] ~]$ ssh datanode02 hostname datanode02 [[email protected] ~]$ ssh datanode03 hostname datanode03 #在namenode02上操作 [[email protected] ~]# su - hadoop [[email protected] ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: a9:f5:0d:cb:c9:88:7b:71:f5:71:d8:a9:23:c6:85:6a [email protected] The key‘s randomart image is: +--[ RSA 2048]----+ | | | | | . o.| | . ...o.o| | S +....o | | +.E.O o. | | o ooB o . | | .. | | .. | +-----------------+ [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [[email protected] ~]$ ssh namenode01 hostname namenode01 [[email protected] ~]$ ssh namenode02 hostname namenode02 [[email protected] ~]$ ssh datanode01 hostname datanode01 [[email protected] ~]$ ssh datanode02 hostname datanode02 [[email protected] ~]$ ssh datanode03 hostname datanode03 #在datanode01上操作 [[email protected] ~]# su - hadoop [[email protected] ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: 48:72:20:69:64:e7:81:b7:03:64:41:5e:fa:88:db:5e [email protected]datanode01 The key‘s randomart image is: +--[ RSA 2048]----+ | +O+= | | +=*.o | | .ooo.o | | . oo+ . | |. . ... S | | o | |. . E | | . . | | . | +-----------------+ [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [[email protected] ~]$ ssh namenode01 hostname namenode01 [[email protected] ~]$ ssh namenode02 hostname namenode02 [[email protected] ~]$ ssh datanode01 hostname datanode01 [[email protected] ~]$ ssh datanode02 hostname datanode02 [[email protected] ~]$ ssh datanode03 hostname datanode03 #datanode02上操作 [[email protected] ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: 32:aa:88:fa:ce:ec:51:6f:de:f4:06:c9:4e:9c:10:31 [email protected] The key‘s randomart image is: +--[ RSA 2048]----+ | E. | | .. | | . | | . | | . o+So | | . o oB | | . . oo.. | |.+ o o o... | |=+B . ... | +-----------------+ [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [[email protected] ~]$ ssh namenode01 hostname namenode01 [[email protected] ~]$ ssh namenode02 hostname namenode02 [[email protected] ~]$ ssh datanode01 hostname datanode01 [[email protected] ~]$ ssh datanode02 hostname datanode02 [[email protected]node02 ~]$ ssh datanode03 hostname datanode03 #datanode03上操作 [[email protected] ~]# su - hadoop [[email protected] ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: f3:f3:3c:85:61:c6:e4:82:58:10:1f:d8:bf:71:89:b4 [email protected] The key‘s randomart image is: +--[ RSA 2048]----+ | o=. | | ..o.. . | | o.+ * . | | . . E O | | S B o | | o. . . | | o . | | +. | | o. | +-----------------+ [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [[email protected] ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [[email protected] ~]$ ssh namenode01 hostname namenode01 [[email protected] ~]$ ssh namenode02 hostname namenode02 [[email protected] ~]$ ssh datanode01 hostname datanode01 [[email protected] ~]$ ssh datanode02 hostname datanode02 [[email protected] ~]$ ssh datanode03 hostname datanode03
三、安装jdk环境
[[email protected] ~]# wget http://download.oracle.com/otn-pub/java/jdk/8u74-b02/jdk-8u74-linux-x64.tar.gz?AuthParam=1461828883_648d68bc6c7b0dfd253a6332a5871e06 [[email protected] ~]# tar xf jdk-8u74-linux-x64.tar.gz -C /usr/local/ #配置环境变量配置文件 [[email protected] ~]# cat /etc/profile.d/java.sh JAVA_HOME=/usr/local/jdk1.8.0_74 JAVA_BIN=/usr/local/jdk1.8.0_74/bin JRE_HOME=/usr/local/jdk1.8.0_74/jre PATH=$PATH:/usr/local/jdk1.8.0_74/bin:/usr/local/jdk1.8.0_74/jre/bin CLASSPATH=/usr/local/jdk1.8.0_74/jre/lib:/usr/local/jdk1.8.0_74/lib:/usr/local/jdk1.8.0_74/jre/lib/charsets.jar export JAVA_HOME PATH #加载环境变量 [[email protected] ~]# source /etc/profile.d/java.sh [[email protected] ~]# which java /usr/local/jdk1.8.0_74/bin/java #测试结果 [[email protected] ~]# java -version java version "1.8.0_74" Java(TM) SE Runtime Environment (build 1.8.0_74-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.74-b02, mixed mode) #将环境变量配置文件和二进制包复制到其余的4台机器上 [[email protected] ~]# scp -r /usr/local/jdk1.8.0_74 namenode02:/usr/local/ [[email protected] ~]# scp -r /usr/local/jdk1.8.0_74 datanode01:/usr/local/ [[email protected] ~]# scp -r /usr/local/jdk1.8.0_74 datanode02:/usr/local/ [[email protected] ~]# scp -r /usr/local/jdk1.8.0_74 datanode03:/usr/local/ [[email protected] ~]# scp /etc/profile.d/java.sh namenode02:/etc/profile.d/ 100% 308 0.3KB/s 00:00 [[email protected] ~]# scp /etc/profile.d/java.sh datanode01:/etc/profile.d/ 100% 308 0.3KB/s 00:00 [[email protected] ~]# scp /etc/profile.d/java.sh datanode02:/etc/profile.d/ 100% 308 0.3KB/s 00:00 [[email protected] ~]# scp /etc/profile.d/java.sh datanode03:/etc/profile.d/ #测试结果，以namenode02为例子 [[email protected] ~]# source /etc/profile.d/java.sh [[email protected] ~]# java -version java version "1.8.0_74" Java(TM) SE Runtime Environment (build 1.8.0_74-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.74-b02, mixed mode)
四、安装hadoop
#下载hadoop软件 [[email protected] ~]# wget http://apache.fayea.com/hadoop/common/hadoop-2.5.2/hadoop-2.5.2.tar.gz [[email protected] ~]# tar xf hadoop-2.5.2.tar.gz -C /usr/local/ [[email protected] ~]# chown -R hadoop.hadoop /usr/local/hadoop-2.5.2/ [[email protected] ~]# ln -sv /usr/local/hadoop-2.5.2/ /usr/local/hadoop ‘/usr/local/hadoop’ -> ‘/usr/local/hadoop-2.5.2/’ #添加hadoop的环境变量配置文件 [[email protected] ~]# cat /etc/profile.d/hadoop.sh HADOOP_HOME=/usr/local/hadoop PATH=$HADOOP_HOME/bin:$PATH export HADOOP_BASE PATH #切换到hadoop用户下，检查jdk环境是否正常 [[email protected] ~]# su - hadoop Last login: Thu Apr 28 15:17:16 CST 2016 from datanode01 on pts/1 [[email protected] ~]$ java -version java version "1.8.0_74" Java(TM) SE Runtime Environment (build 1.8.0_74-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.74-b02, mixed mode) #开始编辑hadoop的配置文件 #编辑hadoop的环境变量文件 [[email protected] ~]$ vim /usr/local/hadoop/etc/hadoop/hadoop-env.sh export JAVA_HOME=/usr/local/jdk1.8.0_74 #修改JAVA_HOME变量的值 #编辑core-site.xml文件 [[email protected] ~]$ vim /usr/local/hadoop/etc/hadoop/core-site.xml <configuration> <property> <name>hadoop.tmp.dir</name> <value>/home/hadoop/temp</value> </property> <property> <name>fs.defaultFS</name> <value>hdfs://mycluster</value> </property> <property> <name>io.file.buffers.size</name> <value>131072</value> </property> </configuration> #编辑hdfs-site.xml文件 [[email protected] ~]$ vim /usr/local/hadoop/etc/hadoop/hdfs-site.xml <configuration> <property> <name>dfs.namenode.name.dir</name> <value>/data/hdfs/dfs/name</value> #namenode目录 </property> <property> <name>dfs.datanode.data.dir</name> <value>/data/hdfs/data</value> #datanode目录 </property> <property> <name>dfs.permissions</name> <value>false</value> </property> <property> <name>dfs.nameservices</name> <value>mycluster</value> #和core-site.xml文件中保持一致 </property> <property> <name>dfs.ha.namenodes.mycluster</name> <value>namenode01,namenode02</value> #namenode节点 </property> <property> <name>dfs.namenode.rpc-address.mycluster.namenode01</name> <value>namenode01:8020</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.namenode02</name> <value>namenode02:8020</value> </property> <property> <name>dfs.namenode.http-address.mycluster.namenode01</name> <value>namenode01:50070</value> </property> <property> <name>dfs.namenode.http-address.mycluster.namenode02</name> <value>namenode02:50070</value> </property> <property> #namenode往journalnode写edits文件，填写所有的journalnode节点 <name>dfs.namenode.shared.edits.dir</name> <value>qjournal://namenode01:8485;namenode02:8485;datanode01:8485;datanode02:8485;datanode03:8485/mycluster</value> </property> <property> <name>dfs.journalnode.edits.dir</name> <value>/data/hdfs/journal</value> #journalnode目录 </property> <property> <name>dfs.client.faliover.proxy.provider.mycluster</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <property> <name>dfs.ha.fening.methods</name> <value>sshfence</value> #通过什么方法进行fence操作 </property> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value>/home/hadoop/.ssh/id_rsa</value> #主机之间的认证 </property> <property> <name>dfs.ha.fencing.ssh.connect-timeout</name> <value>6000</value> </property> <property> <name>dfs.ha.automatic-failover.enabled</name> <value>false</value> #关闭主备自动切换，后面通过zookeeper来切换 </property> <property> <name>dfs.replication</name> <value>3</value> #replicaion的数量，默认为3分，少于这个数量会报错 </property> <property> <name>dfs.webhdfs.enabled</name> <value>true</value> </property> <property> <name>dfs.permissions</name> <value>false</value> </property> </configuration> #编辑yarn-site.xml文件 [[email protected] ~]$ vim /usr/local/hadoop/etc/hadoop/yarn-site.xml <configuration> <property> <name>yarn.nodemanager.aux-service</name> <value>mapreduce_shuffle</value> </property> <property> <name>yarn.resourcemanager.address</name> <value>namenode01:8032</value> </property> <property> <name>yarn.resourcemanager.scheduler.address</name> <value>namenode01:8030</value> </property> <property> <name>yarn.resourcemanager.resource-tracker.address</name> <value>namenode01:8031</value> </property> <property> <name>yarn.resourcemanager.admin.address</name> <value>namenode01:8033</value> </property> <property> <name>yarn.resourcemanager.webapp.address</name> <value>namenode01:8033</value> </property> <property> <name>yarn.nodemanager.resource.memory-mb</name> <value>15360</value> </property> </configuration> #编辑mapred-site.xml文件 [[email protected] ~]$ cp /usr/local/hadoop/etc/hadoop/mapred-site.xml.template /usr/local/hadoop/etc/hadoop/mapred-site.xml [[email protected] ~]$ vim /usr/local/hadoop/etc/hadoop/mapred-site.xml <configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapredue.jobtracker.http.address</name> <value>namenode01:50030</value> </property> <property> <name>mapreduce.jobhistory.address</name> <value>namenode01:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>namenode01:19888</value> </property> </configuration> #编辑slaves配置文件 [[email protected] ~]$ cat /usr/local/hadoop/etc/hadoop/slaves datanode01 datanode02 datanode03 #在namenodee01上切换到root用户下，创建相应的目录 [[email protected] ~]# mkdir /data/hdfs [[email protected] ~]# chown hadoop.hadoop /data/hdfs/ #将hadoop用户的环境变量配置文件复制到其余4台机器上 [[email protected] ~]# scp /etc/profile.d/hadoop.sh namenode02:/etc/profile.d/ [[email protected] ~]# scp /etc/profile.d/hadoop.sh datanode01:/etc/profile.d/ [[email protected] ~]# scp /etc/profile.d/hadoop.sh datanode02:/etc/profile.d/ [[email protected] ~]# scp /etc/profile.d/hadoop.sh datanode03:/etc/profile.d/ #复制hadoop安装文件到其余的4台机器上 [[email protected] ~]# scp -r /usr/local/hadoop-2.5.2/ namenode02:/usr/local/ [[email protected] ~]# scp -r /usr/local/hadoop-2.5.2/ datanode01:/usr/local/ [[email protected] ~]# scp -r /usr/local/hadoop-2.5.2/ datanode02:/usr/local/ [[email protected] ~]# scp -r /usr/local/hadoop-2.5.2/ datanode03:/usr/local/ #修改目录的权限，以namenode02为例 [[email protected] ~]# chown -R hadoop.hadoop /usr/local/hadoop-2.5.2/ [[email protected] ~]# ln -sv /usr/local/hadoop-2.5.2/ /usr/local/hadoop ‘/usr/local/hadoop’ -> ‘/usr/local/hadoop-2.5.2/’ [[email protected] ~]# ll /usr/local |grep hadoop lrwxrwxrwx 1 root root 24 Apr 28 17:19 hadoop -> /usr/local/hadoop-2.5.2/ drwxr-xr-x 9 hadoop hadoop 139 Apr 28 17:16 hadoop-2.5.2 #创建目录 [[email protected] ~]# mkdir /data/hdfs [[email protected] ~]# chown -R hadoop.hadoop /data/hdfs/ #检查jdk环境 [[email protected] ~]# su - hadoop Last login: Thu Apr 28 15:12:24 CST 2016 on pts/0 [[email protected] ~]$ java -version java version "1.8.0_74" Java(TM) SE Runtime Environment (build 1.8.0_74-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.74-b02, mixed mode) [[email protected] ~]$ which hadoop /usr/local/hadoop/bin/hadoop
五、启动hadoop
#在所有服务器执行hadoop-daemon.sh start journalnode，要在hadoop用户下执行 #只贴出namenoe01的过程 [[email protected] ~]$ /usr/local/hadoop/sbin/hadoop-daemon.sh start journalnode starting journalnode, logging to /usr/local/hadoop-2.5.2/logs/hadoop-hadoop-journalnode-namenode01.out #在namenode01上执行 [[email protected] ~]$ hadoop namenode -format
时间： 2024-10-22 07:29:29