以前都是玩 java,没搞过 hadoop,所以以此系列文章来记录下学习过程
安装的文件版本、操作系统说明
centos-6.5-x86_64
[bamboo@hadoop-senior opt]$ uname -a
Linux hadoop-senior.bamboo.com 2.6.32-696.16.1.el6.x86_64
jdk、hadoop
[bamboo@hadoop-senior softwares]$ ll
total 443172
-rw-r--r--. 1 bamboo bamboo 311430119 Dec 29 23:52 hadoop-2.5.0.tar.gz
-rw-r--r--. 1 bamboo bamboo 142376665 Dec 30 02:17 jdk-7u67-linux-x64.tar.gz
- 1. 在 opt 目录下创建 4 个目录:
[bamboo@hadoop-senior opt]$ ll
total 20
drwxr-xr-x. 2 bamboo bamboo 4096 Dec 30 18:05 datas
drwxr-xr-x. 4 bamboo bamboo 4096 Dec 30 18:32 modules
drwxr-xr-x. 2 root root 4096 Oct 3 22:14 rh
drwxr-xr-x. 2 bamboo bamboo 4096 Dec 30 18:16 softwares
drwxr-xr-x. 2 bamboo bamboo 4096 Dec 30 18:05 tools
- 2.安装前先检查下 java
rpm -qa | grep java
如果有的话,会返回一系列的内容,
[bamboo@hadoop-senior opt]$ rpm -qa | grep java
[bamboo@hadoop-senior opt]$ 可以看到我的机器是是没有的,如果返回有记录的话,则执行如下的命令 rpm -e --nodeps 1 2 3(1 2 3 是执行命令返回的结果集)
- 3.安装 java
3.1 解压 jdk
tar -zxvf jdk*.tar.gz -C /opt/modules 3.2 配置环境变量
vim /etc/profile 在最后添加如下的配置
export JAVA_HOME=/opt/modules/jdk1.7.0_67
export PATH=$PATH:$JAVA_HOME/bin 保存退出 3.3 生效配置
source /etc/profile
这样即可生效 3.4 验证 java 是否安装成功
[bamboo@localhost jdk1.7.0_67]$ java -version
java version "1.7.0_67"
Java(TM) SE Runtime Environment (build 1.7.0_67-b01)
Java HotSpot(TM) 64-Bit Server VM (build 24.65-b04, mixed mode) 可以看到已经生效
- 4.安装 hadoop
4.1 解压 hadoop
tar -zxvf hadoop-2.5.0.tar.gz -C /opt/modules/ 4.2 配置 hadoop-env.sh 环境变量
/opt/modules/hadoop-2.5.0/etc/hadoop/hadoop-env.sh
vim hadoop-env.sh
配置 jdk 路径
export JAVA_HOME=/opt/modules/jdk1.7.0_67 4.3 启动 hadoop (有 3 种启动方式) 4.3.1 切换到安装根目录,然后创建 input 目录
[bamboo@localhost hadoop-2.5.0]$ pwd
/opt/modules/hadoop-2.5.0
[bamboo@localhost hadoop-2.5.0]$ mkdir input
[bamboo@localhost hadoop-2.5.0]$ ls
bin etc include input lib libexec sbin share 4.3.2 把 etc/hadoop 下的 xml 文件 cp 到 input 目录下
[bamboo@localhost hadoop-2.5.0]$ cp etc/hadoop/*.xml input/
[bamboo@localhost hadoop-2.5.0]$ cd input/
[bamboo@localhost input]$ ls
capacity-scheduler.xml core-site.xml hadoop-policy.xml hdfs-site.xml httpfs-site.xml yarn-site.xml 4.3.3 启动 hadoop
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.5.0.jar grep input output 'dfs[a-z.]+' 执行成功,并没有报错 执行 ls,可以看到多了 output目录:
[bamboo@localhost hadoop-2.5.0]$ ls
bin etc include input lib libexec output sbin share
[bamboo@localhost hadoop-2.5.0]$ cat output/*
1 dfsadmin 测试一个统计字符的
mkdir wcinput
vim wcinput
hadoop yarn
hadoop mapreduce
hadoop hdfs
yarn nodemanager
hadoop resourcemanager 然后启动 hadoop:
[bamboo@localhost hadoop-2.5.0]$ bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.5.0.jar wordcount wcinput wcoutput [bamboo@localhost hadoop-2.5.0]$ cat wcoutput/*
hadoop 4
hdfs 1
mapreduce 1
nodemanager 1
resourcemanager 1
yarn 2
[bamboo@localhost hadoop-2.5.0]$ cat wcinput/
cat: wcinput/: Is a directory
[bamboo@localhost hadoop-2.5.0]$ cat wcinput/*
hadoop yarn
hadoop mapreduce
hadoop hdfs
yarn nodemanager
hadoop resourcemanager
这个模式是 hadoop 的 Standalone Operation 启动模式.下一篇继续 Pseudo-Distributed Mode.
当然也可以参考官网的 getstart 文档,链接如下: