1. Switch to root user
su-root
2. Turn off selinux: vim /etc/selinux/config
SELINUX=disabled
-------------------------------------------------- -------------------------
Three, switch to hadoop user, configure password-free login.
cd Enter the home directory of the hadoop user
ssh-keygen -t rsa [press 4 enter after inputting]
ssh node100 [yes, enter the password of the hadoop user]
ssh-copy-id node100 [enter the password of the hadoop user]
Fourth, unzip the package to /opt/module
cd
tar -zxvf ./jdk-8u181-linux-x64.tar.gz -C /opt/module/
tar -zxvf ./hadoop-2.7.3.tar.gz -C /opt/module/
tar -zxvf ./apache-hive-3.1.1-bin.tar.gz -C /opt/module/
5. Edit environment variables: vim ~/.bash_profile
add
JAVA_HOME=/opt/module/jdk1.8.0_181
HADOOP_HOME=/opt/module/hadoop-2.7.3
HIVE_HOME=/opt/module/apache-hive-3.1 at the end of the file .1-bin
PATH=$PATH:$HOME/bin:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$HIVE_HOME/bin
export JAVA_HOME
export HADOOP_HOME
export HIVE_HOME
export PATH
6. Reload the file to make the environment variable effective
source ~/.bash_profile
java -version
hadoop version
Seven, modify hadoop configuration file: cd /opt/module/hadoop-2.7.3/etc/hadoop
1.vim ./hadoop-env.sh
export JAVA_HOME=/opt/module/jdk1.8.0_181
2.vim ./mapred-env.sh
export JAVA_HOME=/opt/module/jdk1.8.0_181
3.vim ./yarn-env.sh
export JAVA_HOME=/opt/module/jdk1.8.0_181
4.vim ./core-site.xml
<!-- 指定HDFS中NameNode的地址 -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://node100:9000</value>
</property>
<!-- 指定Hadoop运行时产生文件的存储目录 -->
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/module/hadoopdata</value>
</property>
5.vim ./hdfs-site.xml
<!-- 指定HDFS副本的数量 -->
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<!-- 指定Hadoop辅助名称节点主机配置 -->
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>node100:50090</value>
</property>
6.cp ./mapred-site.xml.template ./mapred-site.xml
vim ./mapred-site.xml
<!-- 指定MR运行在yarn上 -->
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
7.vim ./yarn-site.xml
<!-- Reducer获取数据的方式 -->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<!-- 指定YARN的ResourceManager的地址 -->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>node100</value>
</property>
<!-- 关闭虚拟内存检查 -->
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
8.vim ./slaves
node100
九、格式化hadoop集群
在node100这台机器上执行：hdfs namenode -format
十、启动/关闭hadoop集群
在node100这台机器上执行：start-all.sh
在node100这台机器上执行：stop-all.sh
十一、验证集群
192.168.5.100:50070
192.168.5.100:8088
十二、Hadoop的wordcount
1.vim word.txt
hello python
hello java
hello scala
hello world
welcome to beijing
2.wordcount测试
hadoop fs -mkdir /test
hadoop fs -put ./word.txt /test
hadoop jar /opt/module/hadoop-2.7.3/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount /test/word.txt /output
hadoop fs -cat /output/part-r-00000
十三、Hive的安装
hive --version
在hdfs上创建hive数据存放目录
hadoop fs -mkdir /tmp
hadoop fs -mkdir -p /user/hive/warehouse
hadoop fs -chmod g+w /tmp
hadoop fs -chmod g+w /user/hive/warehouse
在hive的软件目录下执行初始化命令
bin/schematool -dbType derby -initSchema
初始化成功后就会在hive的安装目录下生成derby.log日志文件和metastore_db元数据库
注意：离开hadoop安全模式 hadoop dfsadmin -safemode leave
MapReduce是一种传统的面向批量任务的处理框架。像Tez这样的新处理引擎越来越倾向于近实时的查询访问。随着Yarn的出现，HDFS正日益成为一个多租户环境，允许很多数据访问模式，例如批量访问、实时访问和交互访问。