Centos6.8下Hadoop3.1.1完全分布式安装指南(推荐)

前述:

这篇文档是建立在三台虚拟机相互ping通,防火墙关闭,hosts文件修改,SSH 免密码登录,主机名修改等的基础上开始的。

一.传入文件

1.创建安装目录

mkdir /usr/local/soft

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2.打开xftp,找到对应目录,将所需安装包传入进去

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查看安装包:cd /usr/local/soft

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二.安装JAVA

1.查看是否已安装jdk: java -version

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2.未安装,解压java安装包: tar -zxvf jdk-8u181-linux-x64.tar.gz

(每个人安装包可能不一样,自己参考)

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3.给jdk重命名,并查看当前位置:mv jdk1.8.0_181 java

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4.配置jdk环境:vim /etc/profile.d/jdk.sh

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export JAVA_HOME=/usr/local/soft/java
export PATH=$PATH:$JAVA_HOME/bin
export CLASSPATH=.:$JAVA_HOME/lib/tools.jar:$JAVA_HOME/lib/rt.jar

5.更新环境变量并检验:source /etc/profile

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三.安装Hadoop

1.解压hadoop安装包:tar -zxvf hadoop-3.1.1.tar.gz

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2.查看并重命名:mv hadoop-3.1.1 hadoop

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3.配置 hadoop 配置文件

3.1修改 core-site.xml 配置文件:vim hadoop/etc/hadoop/core-site.xml

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<property>

<name>fs.defaultFS</name>

<value>hdfs://master:9000</value>

</property>

<property>

<name>hadoop.tmp.dir</name>

<value>file:/usr/local/soft/hadoop/tmp</value>

<description>Abase for other temporary directories.</description>

</property>

<property>

 <name>fs.trash.interval</name>

 <value>1440</value>

</property>

3.2修改 hdfs-site.xml 配置文件:vim hadoop/etc/hadoop/hdfs-site.xml

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<property>
<name>dfs.namenode.secondary.http-address</name>
<value>node1:50090</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/soft/hadoop/tmp/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/soft/hadoop/tmp/dfs/data</value>
</property>

3.3修改 workers 配置文件:vim hadoop/etc/hadoop/workers

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3.4修改hadoop-env.sh文件:vim hadoop/etc/hadoop/hadoop-env.sh

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export JAVA_HOME=/usr/local/soft/java

3.5修改yarn-site.xml文件:vim hadoop/etc/hadoop/yarn-site.xml

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<property>
<name>yarn.resourcemanager.hostname</name>
<value>master</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>

3.6更新配置文件:source hadoop/etc/hadoop/hadoop-env.sh

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3.7修改 start-dfs.sh配置文件: im hadoop/sbin/start-dfs.sh

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export HDFS_NAMENODE_SECURE_USER=root
export HDFS_DATANODE_SECURE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root

3.8修改 stop-dfs.sh配置文件: vim hadoop/sbin/stop-dfs.sh

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export HDFS_NAMENODE_SECURE_USER=root
export HDFS_DATANODE_SECURE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root

3.9修改 start-yarn.sh配置文件:vim hadoop/sbin/start-yarn.sh

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export YARN_RESOURCEMANAGER_USER=root
export HADOOP_SECURE_DN_USER=root
export YARN_NODEMANAGER_USER=root

3.10修改 stop-yarn.sh配置文件:vim hadoop/sbin/stop-yarn.sh

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export YARN_RESOURCEMANAGER_USER=root
export HADOOP_SECURE_DN_USER=root
export YARN_NODEMANAGER_USER=root

3.11 取消打印警告信息:vim hadoop/etc/hadoop/log4j.properties

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log4j.logger.org.apache.hadoop.util.NativeCodeLoader=ERROR

四.同步配置信息:

1.同步node1:scp -r soft root@node1:/usr/local/

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同步node2:scp -r soft root@node2:/usr/local/

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2.等待所有传输完成,配置profile文件:vim /etc/profile.d/hadoop.sh

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#SET HADOOP
export HADOOP_HOME=/usr/local/soft/hadoop
export HADOOP_INSTALL=$HADOOP_HOME
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin
export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin

3.继续传输

对node1: scp /etc/profile.d/jdk.sh root@node1:/etc/profile.d/

scp /etc/profile.d/hadoop.sh root@node1:/etc/profile.d/

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对node2: scp /etc/profile.d/jdk.sh root@node2:/etc/profile.d/

scp /etc/profile.d/hadoop.sh root@node2:/etc/profile.d/

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4.在三台虚拟机上都要执行

source /etc/profile

source /usr/local/soft/hadoop/etc/hadoop/hadoop-env.sh

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(只显示一台)

5.格式化 HDFS 文件系统:hdfs namenode -format(只在master上)

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五.启动集群

cd /usr/local/soft/hadoop/sbin/

./start-all.sh

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启动后在三台虚拟机上分别输入jps

结果如下:

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windows下谷歌浏览器检验:

http://192.168.204.120:8088/cluster(输入自己的master的ip地址)

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http://192.168.204.120:9870

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Hadoop测试(MapReduce 执行计算测试):

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hadoop jar/usr/local/soft/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-3.1.1.jar wordcount /input /output

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查看运行结果:

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以上hadoop配置完成。

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