本章主要介绍下在Linux系统下的Hadoop2.5.0伪分布式环境搭建步骤。首先要搭建Hadoop伪分布式环境,需要完成一些前置依赖工作,包括创建用户、安装JDK、关闭防火墙等。

一、创建hadoop用户

使用root账户创建hadoop用户,为了在实验环境下便于操作,赋予hadoop用户sudo权限。具体操作代码如下:

useradd hadoop # 添加hadoop用户
passwd hadoop # 设置密码
visudo
hadoop ALL=(root)NOPASSWD:ALL

二、Hadoop伪分布式环境搭建

1、关闭Linux中的防火墙和selinux

禁用selinux,代码如下:

sudo vi /etc/sysconfig/selinux # 打开selinux配置文件
SELINUX=disabled # 修改SELINUX属性值为disabled

关闭防火墙,代码如下:

sudo service iptables status # 查看防火墙状态
sudo service iptables stop # 关闭防火墙
sudo chkconfig iptables off # 关闭防火墙开机启动设置

2、安装jdk

首先,查看系统中是否有安装自带的jdk,如果存在,则先卸载,代码如下:

rpm -qa | grep java # 查看是否有安装jdk
-openjdk-.el6_3.x86_64 tzdata-java-2012j-.el6.noarch java--openjdk-1.7.0.9-2.3.4.1.el6_3.x86_64 # 卸载自带jdk

接着,安装jdk,步骤如下:

step1.解压安装包:

tar -zxf jdk-7u67-linux-x64.tar.gz -C /usr/local/

step2.配置环境变量及检查是否安装成功:

sudo vi /etc/profile # 打开profile文件
##JAVA_HOME
export JAVA_HOME=/usr/local/jdk1..0_67
export PATH=$PATH:$JAVA_HOME/bin

# 生效文件
source /etc/profile # 使用root用户操作

# 查看是否配置成功
java -version

3、安装hadoop

step1:解压hadoop安装包

.tar.gz -C /opt/software/

建议:将/opt/software/hadoop-2.5.0/share下的doc目录删除。

step2:修改etc/hadoop目录下hadoop-env.sh、mapred-env.sh、yarn-env.sh三个配置文件中的JAVA_HOME

export JAVA_HOME=/usr/local/jdk1..0_67

step3:修改core-site.xml

 <?xml version="1.0" encoding="UTF-8"?>
 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
 <!--
   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

     http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License. See accompanying LICENSE file.
 -->

 <!-- Put site-specific property overrides in this file. -->

 <configuration>
     <property>
         <name>name</name>
         <value>my-study-cluster</value>
     </property>
     <property>
         <name>fs.defaultFS</name>
         <value>hdfs://bigdata01:8020</value>
     </property>
         <!-- 指定Hadoop系统生成文件的临时目录地址 -->
     <property>
         <name>hadoop.tmp.dir</name>
         <value>/opt/software/hadoop-2.5.0/data/tmp</value>
     </property>
     <property>
         <name>fs.trash.interval</name>
         <value>1440</value>
     </property>
     <property>
         <name>hadoop.http.staticuser.user</name>
         <value>hadoop</value>
     </property>
         <property>
                 <name>hadoop.proxyuser.hadoop.hosts</name>
                 <value>bigdata01</value>
         </property>
         <property>
                 <name>hadoop.proxyuser.hadoop.groups</name>
                 <value>*</value>
         </property>
 </configuration>

step4:修改hdfs-site.xml

 <?xml version="1.0" encoding="UTF-8"?>
 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
 <!--
   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

     http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License. See accompanying LICENSE file.
 -->

 <!-- Put site-specific property overrides in this file. -->

 <configuration>
     <property>
         <name>dfs.replication</name>
         <value>1</value>
     </property>
     <property>
         <name>dfs.permissions.enabled</name>
         <value>false</value>
     </property>
     <property>
         <name>dfs.namenode.name.dir</name>
         <value>/opt/software/hadoop-2.5.0/data/name</value>
     </property>
     <property>
         <name>dfs.datanode.data.dir</name>
         <value>/opt/software/hadoop-2.5.0/data/data</value>
     </property>
 </configuration>

step5:修改mapred-site.xml

 <?xml version="1.0"?>
 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
 <!--
   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

     http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License. See accompanying LICENSE file.
 -->

 <!-- Put site-specific property overrides in this file. -->

 <configuration>
     <property>
         <name>mapreduce.framework.name</name>
         <value>yarn</value>
     </property>
     <property>
         <name>mapreduce.jobhistory.address</name>
         <value>bigdata01:10020</value>
     </property>
     <property>
         <name>mapreduce.jobhistory.webapp.address</name>
         <value>bigdata01:19888</value>
     </property>
 </configuration>

step6:修改yarn-site.xml

 <?xml version="1.0"?>
 <!--
   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

     http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License. See accompanying LICENSE file.
 -->
 <configuration>

 <!-- Site specific YARN configuration properties -->

     <property>
         <name>yarn.nodemanager.aux-services</name>
         <value>mapreduce_shuffle</value>
     </property>
     <property>
         <name>yarn.resourcemanager.hostname</name>
         <value>bigdata01</value>
     </property>
     <property>
         <name>yarn.log-aggregation-enable</name>
         <value>true</value>
     </property>
     <property>
         <name>yarn.log-aggregation.retain-seconds</name>
         <value>106800</value>
     </property>
     <property>
         <name>yarn.log.server.url</name>
         <value>http://bigdata01:19888/jobhistory/job/</value>
     </property>
 </configuration>

step7:修改slaves文件

bigdata01

step8:格式化namenode

bin/hdfs namenode -format

step9:启动进程

 ## 方式一:单独启动一个进程
 # 启动namenode
 sbin/hadoop-daemon.sh start namenode
 # 启动datanode
 sbin/hadoop-daemon.sh start datanode
 # 启动resourcemanager
 sbin/yarn-daemon.sh start resourcemanager
 # 启动nodemanager
 sbin/yarn-daemon.sh start nodemanager
 # 启动secondarynamenode
 sbin/hadoop-daemon.sh start secondarynamenode
 # 启动历史服务器
 sbin/mr-jobhistory-daemon.sh start historyserver

 ## 方式二:
 sbin/start-dfs.sh # 启动namenode、datanode、secondarynamenode
 sbin/start-yarn.sh # 启动resourcemanager、nodemanager
 sbin/mr-jobhistory-daemon.sh start historyserver # 启动历史服务器

step10:检查

1.通过浏览器访问HDFS的外部UI界面,加上外部交互端口号:50070

  http://bigdata01:50070

2.通过浏览器访问YARN的外部UI界面,加上外部交互端口号:8088

  http://bigdata01:8088

3.执行Wordcount程序

  bin/yarn jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.5.0.jar wordcount input output

  注:输入输出目录自定义

结束!

以上为Hadoop2.5.0伪分布式环境搭建步骤,如有问题,请指出,谢谢!

Hadoop2.5.0伪分布式环境搭建的更多相关文章

  1. 在Win7虚拟机下搭建Hadoop2.6.0伪分布式环境

    近几年大数据越来越火热.由于工作需要以及个人兴趣,最近开始学习大数据相关技术.学习过程中的一些经验教训希望能通过博文沉淀下来,与网友分享讨论,作为个人备忘. 第一篇,在win7虚拟机下搭建hadoop ...

  2. hive-2.2.0 伪分布式环境搭建

    一,实验环境: 1, ubuntu server 16.04 2, jdk,1.8 3, hadoop 2.7.4 伪分布式环境或者集群模式 4, apache-hive-2.2.0-bin.tar. ...

  3. Spark2.4.0伪分布式环境搭建

    一.搭建环境的前提条件 环境:ubuntu-16.04 hadoop-2.6.0  jdk1.8.0_161. spark-2.4.0-bin-hadoop2.6.这里的环境不一定需要和我一样,基本版 ...

  4. Ubuntu15.10下Hadoop2.6.0伪分布式环境安装配置及Hadoop Streaming的体验

    Ubuntu用的是Ubuntu15.10Beta2版本,正式的版本好像要到这个月的22号才发布.参考的资料主要是http://www.powerxing.com/install-hadoop-clus ...

  5. Hadoop2.6.0伪分布环境搭建

    用到的软件: 一.安装jdk: 1.要安装的jdk,我把它拷在了共享文件夹里面.   (用优盘拷也可以) 2.我把jdk拷在了用户文件夹下面. (其他地方也可以,不过路径要相应改变) 3.执行复制安装 ...

  6. ubuntu14.04搭建Hadoop2.9.0伪分布式环境

    本文主要参考 给力星的博文——Hadoop安装教程_单机/伪分布式配置_Hadoop2.6.0/Ubuntu14.04 一些准备工作的基本步骤和步骤具体说明本文不再列出,文章中提到的“见参考”均指以上 ...

  7. 安装hadoop2.6.0伪分布式环境

    集群环境搭建请见:http://blog.csdn.net/jediael_lu/article/details/45145767 一.环境准备 1.安装linux.jdk 2.下载hadoop2.6 ...

  8. 安装hadoop2.6.0伪分布式环境 分类: A1_HADOOP 2015-04-27 18:59 409人阅读 评论(0) 收藏

    集群环境搭建请见:http://blog.csdn.net/jediael_lu/article/details/45145767 一.环境准备 1.安装linux.jdk 2.下载hadoop2.6 ...

  9. hadoop2.4.1伪分布式环境搭建

    注意:所有的安装用普通哟用户安装,所以首先使普通用户可以以sudo执行一些命令: 0.虚拟机中前期的网络配置参考: http://www.cnblogs.com/qlqwjy/p/7783253.ht ...

随机推荐

  1. CodeForces 681B Economy Game (暴力)

    题意:给定一个数,问能不能 找到非负 a, b, c,使得 a × 1 234 567 + b × 123 456 + c × 1 234 = n. 析:二重循环,去确定c. 代码如下: #inclu ...

  2. thinkphp5 swoole 执行异步任务

    目录结构: 服务器端: <?php /* *author:hdj */ namespace app\Console; use think\console\Command; use think\c ...

  3. JSTL 标签库<转>

    http://elf8848.iteye.com/blog/245559 JSTL标签库,是日常开发经常使用的,也是众多标签中性能最好的.把常用的内容,放在这里备份一份,随用随查.尽量做到不用查,就可 ...

  4. ZSTU4274 约素 2017-03-22 17:11 66人阅读 评论(0) 收藏

    4274: 约素 Time Limit: 1 Sec  Memory Limit: 128 MB Submit: 1807  Solved: 467 Description 判断一个正整数n的约数个数 ...

  5. Android-HttpsURLConnectionHelp-工具类

    HttpsURLConnectionHelp-工具类 是专门把javax.net.ssl.HttpsURLConnection类的使用,进行了封装,提供了常用的公共方法: package common ...

  6. ASP.NET Core2实现静默获取微信公众号的用户OpenId

    最近在做个微信公众号的项目,需要将入口放置在公众号二级菜单内,通过点击该菜单链接后进入到该项目中去,进入到项目后程序会自动通过微信公众号的API完成用户的OpenId获取.需求很简单,实现起来也不复杂 ...

  7. centos 虚拟机中修改屏幕分辨率

    1.$ vi /boot/grub/grub.conf(路径可能会不一样,也可以是 /etc/grub.conf),打开grub.conf文件 2.我们修改分辨率,需要在kernel那行加入 vga= ...

  8. Jenkins pipeline中使用内置全局变量

    在pipeline中不像在windows batch command中直接%WORKSPACE%这样 需要写成这样: echo env.WORKSPACE

  9. DataGridViewComboBoxColumn值无效解决方法

    值无效,可能是你下拉框选项,没有这样的值,而你却设置这个值. dataGridView1.Rows[i].Cells[1].Value = "选项一"; 解决方法就是在窗体的构造函 ...

  10. linux学习之vi文件编辑命令

    如果文件为只读则无法使用普通用户编辑,需要切换到root用户,具体名称可参考: https://www.cnblogs.com/huangwei1992/p/9493443.html vi文件编辑命令 ...