CentOS7+java8+hadoop3.3.5环境搭建

需要的配置文件

centos7的镜像

centos-7.9.2009-isos-x86_64安装包下载_开源镜像站-阿里云 (aliyun.com)

java8

Java Downloads | Oracle

hadoop3.3.5

Index of /dist/hadoop/common/hadoop-3.3.5 (apache.org)

步骤

首先第一步在本地下载好vmware和centos7的镜像

之后的选项根据自己的实际需求选择

创建完之后

将这个路径换为你自己镜像的路径

然后就可以进入了，完成一些初始的设定之后

开始配置java8环境

下载完后

打开命令窗口，并进入管理员模式

mkdir /usr/local/java8

tar zxvf jdk-8u371-linux-x64.tar.gz -C /usr/local/java8/

cd /usr/local/java8/jdk1.8.0_371/

vi /etc/profile

## JDK8
export JAVA_HOME=/usr/local/java8/jdk1.8.0_371
export JRE_HOME=${JAVA_HOEM}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib:$CLASSPATH
export JAVA_PATH=${JAVA_HOME}/bin:${JRE_HOME}/bin
export PATH=$PATH:${JAVA_PATH}

source /etc/profile

在执行完vi /ect/profile命令完后，按i键进入编辑模式，在末尾添加上jdk8的环境设置，然后按esc退出，再按shift+:，然后输入wq按回车保存，最后使用source命令刷新配置

出现java版本说明配置成功了

配置hadoop3.3.5伪分布式

wget  https://archive.apache.org/dist/hadoop/common/hadoop-3.3.5/hadoop-arm64-3.3.5.tar.gz

tar zxvf hadoop-3.3.5.tar.gz -C /usr/local/

cd /usr/local/hadoop-3.3.5/

vi /etc/profile

## Hadoop3.3.5

export HADOOP_HOME=/usr/local/hadoop-3.3.5

export PATH=$PATH:${HADOOP_HOME}/bin:${HADOOP_HOME}/sbin

source /etc/profile

vi etc/hadoop/hadoop-env.sh

export JAVA_HOME=/usr/local/java8/jdk1.8.0_371

export HADOOP_PID_DIR=${HADOOP_HOME}/pids

在hadoop-env.sh末尾添加上面两句话

然后是对hadoop文件的配置

vi etc/hadoop/core-site.xml

#把configuration换位如下配置

<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://192.168.15.130:9000</value>#注意这里是你自己的IP地址不要照抄
    </property>
    <property>
        <name>io.file.buffer.size</name>
        <value>131072</value>
    </property>
</configuration>

vi etc/hadoop/hdfs-site.xml

<configuration>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>/mnt/data01/hadoop</value>
    </property>
    <property>
        <name>dfs.blocksize</name>
        <value>268435456</value>
    </property>
    <property>
        <name>dfs.namenode.handler.count</name>
        <value>100</value>
    </property>

    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/mnt/data01/hdfs_dndata</value>
    </property>
</configuration>

配置hosts

hostnamectl set-hostname billsaifu #可以任意取主机名称
bash
echo "192.168.15.130  billsaifu" >> /etc/hosts#你自己的主机名和IP地址

这里可以查看你的IP地址

创建免密

useradd xwp
su - xwp -c "ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa"
su - xwp -c "cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys"
su - xwp -c "chmod 0600 ~/.ssh/authorized_keys"
chown -R xwp:xwp /usr/local/hadoop-3.3.5
mkdir /usr/local/hadoop-3.3.5/pids
chown -R xwp:xwp /usr/local/hadoop-3.3.5/pids
mkdir -p /mnt/data01/hadoop
mkdir -p /mnt/data01/hdfs_dndata
mkdir -p /mnt/data01/yarn_nmdata
chown -R xwp:xwp /mnt/data01/hadoop
chown -R xwp:xwp /mnt/data01/hdfs_dndata
chown -R xwp:xwp /mnt/data01/yarn_nmdata

启动HDFS

su - xwp
cd /usr/local/hadoop-3.3.5
bin/hdfs namenode -format
sbin/start-dfs.sh

创建执行mapreduce任务所需的HDFS目录

hdfs dfs -mkdir /user

hdfs dfs -mkdir /user/xwp

执行mapreduce任务

 hdfs dfs -mkdir input
hdfs dfs -put etc/hadoop/*.xml input
hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.5.jar grep input output 'dfs[a-z.]+'
hdfs dfs -get output output
cat output/

启动YARN

vi etc/hadoop/mapred-site.xml

<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.map.memory.mb</name>
        <value>1536</value>
    </property>
    <property>
        <name>mapreduce.map.java.opts</name>
        <value>-Xmx1024M</value>
    </property>
    <property>
        <name>mapreduce.reduce.memory.mb</name>
        <value>3072</value>
    </property>
    <property>
        <name>mapreduce.reduce.java.opts</name>
        <value>-Xmx2560M</value>
    </property>
    <property>
        <name>mapreduce.task.io.sort.mb</name>
        <value>512</value>
    </property>
    <property>
        <name>mapreduce.task.io.sort.factor</name>
        <value>100</value>
    </property>
    <property>
        <name>mapreduce.application.classpath</name>
        <value>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*</value>
    </property>

    <!--property>
        <name>mapreduce.jobhistory.address</name>
        <value>hdfs://192.168.15.130:10020</value>
    </property-->
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>http://192.168.15.130:19888</value>#注意换成自己的IP地址
    </property>
</configuration>

vi etc/hadoop/yarn-site.xml

<configuration>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.env-whitelist</name>
        <value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_HOME,PATH,LANG,TZ,HADOOP_MAPRED_HOME</value>
    </property>
    <property>
        <name>yarn.nodemanager.local-dirs</name>
        <value>/mnt/data01/yarn_nmdata</value>
    </property>
</configuration>

sbin/start-yarn.sh#开启yarn

bin/mapred --daemon start historyserver #开启JobhistoryServer

输入 hadoop version

出现对应的版本说明配置成功了

利用jps查看是否启动成功

未启动

[xwp@billsaifu hadoop-3.3.5]$ jps
8129 Jps

成功启动

[xwp@billsaifu hadoop-3.3.5]$ ./sbin/start-dfs.sh
Starting namenodes on [billsaifu]
billsaifu: Warning: Permanently added 'billsaifu,192.168.15.130' (ECDSA) to the list of known hosts.
Starting datanodes
localhost: Warning: Permanently added 'localhost' (ECDSA) to the list of known hosts.
Starting secondary namenodes [billsaifu]
[xwp@billsaifu hadoop-3.3.5]$ jps
9108 SecondaryNameNode
9259 Jps
8622 NameNode

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