大数据入门_Hadoop环境配置

1、安装虚拟机

VMware workstation

CentOS 镜像

 

安装Linux虚拟机：（在Win7上）

1）安装VMwareWorkstations（可修改配置）

2）添加CentOS镜像（启动安装 ->配置网络）

网络配置：NAT模式       ------>    把网卡配置文件中的网卡状态由no改为yes即可

网络重启：service network restart

关闭系统：shutdown -h now

 

2、远程连接

Xshell5

Xftp5

 

3、在Linux上搭建Hadoop集群

下载软件

1. Jdk：http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html

2. Hadoop包:http://apache.fayea.com/hadoop/common/hadoop-2.7.2/

 见软件包；

 

步骤：

1、修改/etc/hosts

2、配置JDK

/etc/profile中配置： 

export JAVA_HOME=/usr/java/jdk1.7.0_80
export PATH=$JAVA_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

HADOOP_HOME=/opt/hadoop-2.7.5
PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$PATH

 

安装：rpm -ivh jdk-8u101-linux-x64.rpm

vi /etc/profile
JAVA_HOME
source /etc/profile
java -version

3、配置SSH（免密码登录）

ssh-keygen -t rsa
cat xxx.pub >> authorized_keys
chmod 644 authorized_keys
ssh IP/HOSTNAME

4、安装及配置Hadoop

tar zxf hadoop-2.7.2.tar.gz
cd /opt/hadoop-2.7.2/etc/hadoop/

core-site.xml

<property>
    <name>fs.default.name</name>
    <value>hdfs://bigdata:9000</value>
  </property>
 
 <property>
    <name>hadoop.tmp.dir</name>
    <value>/opt/hadoop-2.7.2/current/tmp</value>
  </property>
 <property>
    <name>fs.trash.interval</name>
    <value>4320</value>
  </property>

 

hdfs-site.xml

<property>
   <name>dfs.namenode.name.dir</name>
   <value>/opt/hadoop-2.7.2/current/dfs/name</value>
 </property>
 <property>
   <name>dfs.datanode.data.dir</name>
   <value>/opt/hadoop-2.7.2/current/data</value>
 </property>
 <property>
   <name>dfs.replication</name>
   <value>1</value>
 </property>
 <property>
   <name>dfs.webhdfs.enabled</name>
   <value>true</value>
 </property>
 <property>
   <name>dfs.permissions.superusergroup</name>
   <value>staff</value>
 </property>
 <property>
   <name>dfs.permissions.enabled</name>
   <value>false</value>
 </property>

 

yarn-site.xml

<property>
   <name>yarn.resourcemanager.hostname</name>
   <value>bigdata</value>
 </property>
 <property>
   <name>yarn.nodemanager.aux-services</name>
   <value>mapreduce_shuffle</value>
 </property>
 <property>
   <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
   <value>org.apache.hadoop.mapred.ShuffleHandler</value>
 </property>
 <property>
   <name>yarn.resourcemanager.address</name>
   <value>bigdata:18040</value>
 </property>
<property>
   <name>yarn.resourcemanager.scheduler.address</name>
   <value>bigdata:18030</value>
 </property>
 <property>
   <name>yarn.resourcemanager.resource-tracker.address</name>
   <value>bigdata:18025</value>
 </property> <property>
   <name>yarn.resourcemanager.admin.address</name>
   <value>bigdata:18141</value>
 </property>
<property>
   <name>yarn.resourcemanager.webapp.address</name>
   <value>bigdata:18088</value>
 </property>
<property>
   <name>yarn.log-aggregation-enable</name>
   <value>true</value>
 </property>
<property>
   <name>yarn.log-aggregation.retain-seconds</name>
   <value>86400</value>
 </property>
<property>
   <name>yarn.log-aggregation.retain-check-interval-seconds</name>
   <value>86400</value>
 </property>
<property>
   <name>yarn.nodemanager.remote-app-log-dir</name>
   <value>/tmp/logs</value>
 </property>
<property>
   <name>yarn.nodemanager.remote-app-log-dir-suffix</name>
   <value>logs</value>
 </property>

 

mapred-site.xml

<property>
  <name>mapreduce.framework.name</name>
  <value>yarn</value>
</property>
<property>
  <name>mapreduce.jobtracker.http.address</name>
  <value>bigdata:50030</value>
</property>
<property>
  <name>mapreduce.jobhisotry.address</name>
  <value>bigdata:10020</value>
</property>
<property>
  <name>mapreduce.jobhistory.webapp.address</name>
  <value>bigdata:19888</value>
</property>
<property>
  <name>mapreduce.jobhistory.done-dir</name>
  <value>/jobhistory/done</value>
</property>
<property>
  <name>mapreduce.intermediate-done-dir</name>
  <value>/jobhisotry/done_intermediate</value>
</property>
<property>
  <name>mapreduce.job.ubertask.enable</name>
  <value>true</value>
</property>