分布式安装"/>
Linux Hadoop平台伪分布式安装
Linux Hadoop 伪分布式安装
- 1. JDK
- 2. Hadoop
- 3. Mysql+Hive
- 3.1 Mysql8安装
- 3.2 Hive安装
- 4. Spark
- 4.1 Maven安装
- 4.2 Scala安装
- 4.3 Spark编译并安装
- 5. Zookeeper
- 6. HBase
版本概要：
- jdk： jdk-8u391-linux-x64.tar.gz
- hadoop：hadoop-3.3.1.tar.gz
- hive：apache-hive-3.1.2-bin.tar.g
- mysql：mysql-8.0.27-1.el7.x86_64.rpm-bundle.tar
- maven：apache-maven-3.5.4-bin.tar.gz
- scala：scala-2.11.12.tgz
- spark：spark-2.4.5.tgz
- zookeeper：zookeeper-3.4.10.tar.gz
- hbase：hbase-2.4.12-bin.tar.gz
1. JDK
JDK下载：/
# 解压
[root@sole install]# tar -zxvf jdk-8u391-linux-x64.tar.gz -C /opt/software/
##########################################################################################
# 编辑环境变量
[root@sole ~]# vi /etc/profile.d/my.sh
# JAVA_HOME
export JAVA_HOME=/opt/software/jdk1.8.0_391
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib:$CLASSPATH
export JAVA_PATH=${JAVA_HOME}/bin:${JRE_HOME}/bin
export PATH=$PATH:${JAVA_PATH}# 重新加载
[root@sole ~]# source /etc/profile
2. Hadoop
下载地址：/
# 解压
[root@sole install]# tar -zxvf hadoop-3.3.1.tar.gz -C /opt/software/
##########################################################################################
# 编辑环境变量
[root@sole ~]# vi /etc/profile.d/my.sh
# HADOOP_HOME
export HADOOP_HOME=/opt/software/hadoop-3.3.1
export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH
# 重新加载
[root@sole ~]# source /etc/profile
# Hadoop配置修改
[root@sole software]# cd hadoop-3.3.1/etc/hadoop/[root@sole hadoop]# vi hadoop-env.sh
export JAVA_HOME=/opt/software/jdk1.8.0_391
export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root
[root@sole hadoop]# vi core-site.xml
<configuration>
<!-- 指定Hadoop所使用的文件系统schema(URL),HDFS的老大(NameNode)的地址 -->
<property><name>fs.defaultFS</name><value>hdfs://sole:9000</value>
</property>
<!-- 指定Hadoop运行时产生文件的储存目录，默认是/tmp/hadoop-${user.name} -->
<property><name>hadoop.tmp.dir</name><value>/opt/software/hadoop-3.3.1/hadoopdata</value>
</property>
</configuration>
[root@sole hadoop]# vi hdfs-site.xml
<configuration>
<!-- 指定HDFS副本的数量 -->
<property><name>dfs.replication</name><value>1</value>
</property>
<property><name>dfs.namenode.name.dir</name><value>/opt/software/hadoop-3.3.1/tmp/name</value>
</property>
<property><name>dfs.datanode.data.dir</name><value>/opt/software/hadoop-3.3.1/tmp/data</value>
</property>
</configuration>
[root@sole hadoop]# vi yarn-site.xml
<configuration>
<!-- Site specific YARN configuration properties -->
<property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value>
</property>
<property><name>yarn.resourcemanager.address</name><value>sole:18040</value>
</property>
<property><name>yarn.resourcemanager.scheduler.address</name><value>sole:18030</value>
</property>
<property><name>yarn.resourcemanager.resource-tracker.address</name><value>sole:18025</value>
</property></property>
<property><name>yarn.resourcemanager.admin.address</name><value>sole:18141</value>
</property>
<property><name>yarn.resourcemanager.webapp.address</name><value>sole:18088</value>
</property>
</configuration>
[root@sole hadoop]# vi mapred-site.xml
<configuration>
<!-- 指定mr运行时框架，这里指定在yarn上，默认是local -->
<property><name>mapreduce.framework.name</name><value>yarn</value>
</property>
</configuration>
# 初始化,进到${HADOOP_HOME}/sbin目录下
[root@sole sbin]# pwd
/opt/software/hadoop-3.3.1/sbin
[root@sole sbin]# hdfs namenode -format# 启动服务
[root@sole sbin]# start-dfs.sh
[root@sole sbin]# start-yarn.sh
3. Mysql+Hive
3.1 Mysql8安装
# 卸载已有mariadb服务,如果已安装过MySQL,则将旧的MySQL服务全部卸载再安装
[root@sole ~]# rpm -qa|grep mariadb
[root@sole ~]# yum remove mariadb-libs
MySQL 8.0.27 tar包下载：/
[root@sole ~]# tar -xvf mysql-8.0.27-1.el7.x86_64.rpm-bundle.tar
# 为了避免安装过程中报错，提前安装好以下依赖
[root@sole ~]# -y install libaio
[root@sole ~]# yum install openssl-devel.x86_64 openssl.x86_64 -y
[root@sole ~]# yum -y install autoconf
[root@sole ~]# yum install perl.x86_64 perl-devel.x86_64 -y
[root@sole ~]# yum install perl-JSON.noarch -y
[root@sole ~]# yum install perl-Test-Simple
[root@sole ~]# yum install net-tools
# 安装mysql
[root@sole ~]# rpm -ivh mysql-community-common-8.0.27-1.el7.x86_64.rpm
[root@sole ~]# rpm -ivh mysql-community-client-plugins-8.0.27-1.el7.x86_64.rpm
[root@sole ~]# rmp -ivh mysql-community-libs-8.0.27-1.el7.x86_64.rpm
[root@sole ~]# rpm -ivh mysql-community-client-8.0.27-1.el7.x86_64.rpm
[root@sole ~]# rpm -ivh mysql-community-server-8.0.27-1.el7.x86_64.rpm
[root@sole ~]# rpm -ivh mysql-community-libs-compat-8.0.27-1.el7.x86_64.rpm
[root@sole ~]# rpm -ivh mysql-community-embedded-compat-8.0.27-1.el7.x86_64.rpm
[root@sole ~]# rpm -ivh mysql-community-devel-8.0.27-1.el7.x86_64.rpm
#启动MySQL
[root@sole ~]# mysqld --initialize --console
[root@sole ~]# chown -R mysql:mysql /var/lib/mysql/
[root@sole ~]# systemctl start mysqld.service
[root@sole ~]# systemctl status mysqld.service
[root@sole ~]# cat /var/log/mysqld.log |grep password --查看临时密码
# 修改密码&远程登录权限
mysql> alter user 'root'@'localhost' identified by 'root';
mysql> CREATE USER 'root'@'%' IDENTIFIED BY 'root';
mysql> GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' WITH GRANT OPTION;
mysql> FLUSH PRIVILEGES;
# MySQL字符集修改，最后添加配置如下
[root@sole ~]# vi /etc/myf[mysql.server]
default-character-set = utf8
[client]
default-character-set = utf8#添加完重启服务
[root@sole ~]# service mysqld restart
3.2 Hive安装
下载地址：/
# 解压
[root@sole install]# tar -zxvf apache-hive-3.1.2-bin.tar.gz -C /opt/software/
##########################################################################################
# 编辑环境变量
[root@sole ~]# vi /etc/profile.d/my.sh
# HIVE_HOME
export HIVE_HOME=/opt/software/apache-hive-3.1.2-bin
export PATH=$HIVE_HOME/bin:$PATH
# 重新加载
[root@sole ~]# source /etc/profile
# Hive配置修改，进入${HIVE_HOME}/conf
[root@sole conf]# cp hive-env.sh.template hive-env.sh
[root@sole conf]# vi hive-env.shexport JAVA_HOME=/opt/software/jdk1.8.0_391
export HADOOP_HOME=/opt/software/hadoop-3.3.1
export HIVE_CONF_DIR=/opt/software/apache-hive-3.1.2-bin/conf
export HIVE_AUX_JARS_PATH=/opt/software/apache-hive-3.1.2-bin/lib
[root@sole conf]# vi hive-site.xml
<configuration><property><name>hive.metastore.warehouse.dir</name><value>/user/hive/warehouse</value></property><property><name>hive.exec.scratchdir</name><value>/tmp_local/hive</value></property><property><name>hive.metastore.local</name><value>true</value></property><property><name>javax.jdo.option.ConnectionURL</name><value>jdbc:mysql://sole:3306/hive?createDatabaseIfNotExist=true&useSSL=false&useUnicode=true&characterEncoding=UTF-8&allowPublicKeyRetrieval=true</value></property><property><name>javax.jdo.option.ConnectionDriverName</name><value>com.mysql.cj.jdbc.Driver</value></property><property><name>javax.jdo.option.ConnectionUserName</name><value>root</value></property><property><name>javax.jdo.option.ConnectionPassword</name><value>root</value></property><property><name>hive.cli.print.header</name><value>true</value></property><property><name>hive.cli.print.current.db</name><value>true</value></property> <property><name>hive.exec.mode.local.auto</name><value>true</value></property><property><name>hive.exec.dynamic.partition</name><value>true</value></property><property><name>hive.exec.dynamic.partition.mode</name><value>nonstrict</value></property><property><name>hive.support.concurrency</name><value>true</value></property><property><name>hive.txn.manager</name><value>org.apache.hadoop.hive.ql.lockmgr.DbTxnManager</value></property><property><name>hivepactor.initiator.on</name><value>true</value></property><property><name>hivepactor.worker.threads</name><value>1</value></property>
</configuration>
# MySQL驱动
[root@sole install]# cp mysql-connector-j-8.0.33.jar /opt/software/apache-hive-3.1.2-bin/lib/
MySQL驱动网页下载：/
Maven下载：
<dependency><groupId>com.mysql</groupId><artifactId>mysql-connector-j</artifactId><version>8.0.33</version> </dependency>
# 解决Hadoop和Hive的两个guava.jar版本冲突问题：
# 删除${HIVE_HOME}/lib中的guava-19.0.jar
# 并将${HADOOP_HOME}/share/hadoop/common/lib/guava-27.0-jre.jar复制到${HIVE_HOME}/lib下[root@sole install]# cd /opt/software/apache-hive-3.1.2-bin/lib/
[root@sole lib]# rm -f guava-19.0.jar
[root@sole lib]# cp /opt/software/hadoop-3.3.1/share/hadoop/common/lib/guava-27.0-jre.jar ./
# 初始化元数据库
[root@sole bin]# ./schematool -dbType mysql -initSchema# 启动服务 metastore & hiveserver2
[root@sole bin]# nohup hive --service metastore>hive.log 2>&1 &
[root@sole bin]# nohup hive --service hiveserver2>/dev/null 2>&1 &
4. Spark
下载地址：/
.11.12.html
4.1 Maven安装
# 解压
[root@sole install]# tar -zxvf apache-maven-3.5.4-bin.tar.gz -C /opt/software
[root@sole software]# mv apache-maven-3.5.4/ maven-3.5.4
##########################################################################################
# 编辑环境变量
[root@sole ~]# vi /etc/profile.d/my.sh
# MAVEN_HOME
export MAVEN_HOME=/opt/software/maven-3.5.4
export PATH=$MAVEN_HOME/bin:$PATH# 重新加载环境变量并测试maven
[root@sole ~]# source /etc/profile
[root@sole ~]# mvn -v
# 配置阿里云镜像
[root@sole software]# vi maven-3.5.4/conf/settings.xml
<mirror><id>alimaven</id><name>aliyun maven</name><url>/</url><mirrorOf>central</mirrorOf>
</mirror>
4.2 Scala安装
# 解压
[root@sole install]# tar -zxvf scala-2.11.12.tgz -C /opt/software
##########################################################################################
# 编辑环境变量
[root@sole ~]# vi /etc/profile.d/my.sh
#SCALA_HOME
export SCALA_HOME=/opt/software/scala-2.11.12
export PATH=$SCALA_HOME/bin:$PATH# 重新加载并测试
[root@sole ~]# source /etc/profile
[root@sole ~]# scala -version
4.3 Spark编译并安装
# 解压
[root@sole install]# tar -zxvf spark-2.4.5.tgz -C /opt/software
# 编辑配置文件
[root@sole ~]# vi /opt/software/dev/make-distribution.sh
#以下内容注释，并添加以下配置
#VERSION=$("$MVN" help:evaluate -Dexpression=project.version $@ 2>/dev/null\
# | grep -v "INFO"\
# | grep -v "WARNING"\
# | tail -n 1)
#SCALA_VERSION=$("$MVN" help:evaluate -Dexpression=scala.binary.version $@ 2>/dev/null\
# | grep -v "INFO"\
# | grep -v "WARNING"\
# | tail -n 1)
#SPARK_HADOOP_VERSION=$("$MVN" help:evaluate -Dexpression=hadoop.version $@ 2>/dev/null\
# | grep -v "INFO"\
# | grep -v "WARNING"\
# | tail -n 1)
#SPARK_HIVE=$("$MVN" help:evaluate -Dexpression=project.activeProfiles -pl sql/hive $@ 2>/dev/null\
# | grep -v "INFO"\
# | grep -v "WARNING"\
# | fgrep --count "<id>hive</id>";\# Reset exit status to 0, otherwise the script stops here if the last grep finds nothing\# because we use "set -o pipefail"echo -n)# 设置版本信息
VERSION=2.4.5
SCALA_VERSION=2.11.12
SPARK_HADOOP_VERSION=3.3.1
SPARK_HIVE=3.1.2
# 修改${SPARK_HOME}/poml.xml中得<hadoop.version>
# <hadoop.version>2.6.5</hadoop.version> --> <hadoop.version>3.3.1</hadoop.version>
[root@sole dev]# ./make-distribution.sh --name build --tgz -Phadoop-3.3 -Dhadoop.version=3.3.1 -Dscala-2.11 -DskipTests -Pyarn -Phive -Phive-thriftserver# --name --tgz ：是最后生成的包名，以及采用上面格式打包，比如，编译的是spark-2.4.5，那么最后编译成功后就会在 spark-2.4.5这个目录下生成 spark--bin-build.tgz
# -Pyarn： 表示支持yarn
# --Phadoop-3.3 ：指定hadoop的主版本号
# -Dhadoop.version： 指定hadoop的子版本号
# -Phive -Phive-thriftserver：开启HDBC和Hive功能
# -Dscala-2.11 ：指定scala版本
# -DskipTests ：忽略测试过程#还可以加上：
# clean package：clean和package是编译目标。clean执行清理工作，比如清除旧打包痕迹，package用于编译和打包
# 解压
[root@sole spark-2.4.5]# tar -zxvf spark--bin-build.tgz -C /opt/software
# 配置
[root@sole spark--bin-build]# vi /etc/profile.d/my.sh #SPARK_HOME
export SPARK_HOME=/opt/software/spark--bin-build
export SPARK_CLASSPATH=$SPARK_HOME/jars
export PATH=$SPARK_HOME/bin:$PATH
##########################################################################################
[root@sole conf]# vi spark-env.shexport JAVA_HOME=/opt/software/jdk1.8.0_391
export HADOOP_HOME=/opt/software/hadoop-3.3.1
export HADOOP_CONF_DIR=/opt/software/hadoop-3.3.1/etc/hadoop
export SCALA_HOME=/opt/software/scala-2.11.12
export SPARK_HOME=/opt/software/spark--bin-build
export SPARK_MASTER_IP=192.168.229.130
export SPARK_MASTER_PORT=7077
##########################################################################################
[root@sole conf]# cp slaves.template slaves
##########################################################################################
# 将hive-site.xml拷贝至该目录下
[root@sole conf]# cp /opt/software/apache-hive-3.1.2-bin/conf/hive-site.xml ./
##########################################################################################
#spark-shell/spark-sql启动提示 Unrecognized Hadoop major version number: 3.3.1
[root@sole conf]# vi common-version-info.properties
version=2.7.6 #版本信息设置成2和3都可以
编译参考：
# 启动&测试
[root@sole ~]# sh /opt/software/spark--bin-build/sbin/start-all.sh
[root@sole ~]# spark-sql
5. Zookeeper
下载地址：.4.10/
# 解压
[root@sole install]# tar -zxvf zookeeper-3.4.10.tar.gz -C /opt/software/
##########################################################################################
# 编辑环境变量
[root@sole ~]# vi /etc/profile.d/my.sh
# ZK_HOME
export ZK_HOME=/opt/software/zookeeper-3.4.10
export PATH=$ZK_HOME/bin:$ZK_HOME/sbin:$PATH
# 重新加载
[root@sole ~]# source /etc/profile
# 配置
[root@sole install]# cd /opt/software/zookeeper-3.4.10/
# 在zookeeper的根目录下新建文件夹mydata
[root@sole zookeeper-3.4.10]# mkdir mydata
[root@sole zookeeper-3.4.10]# touch myid
[root@sole zookeeper-3.4.10]# echo "1" >> myid
##########################################################################################
[root@sole zookeeper-3.4.10]# cd /opt/software/zookeeper-3.4.10/conf
[root@sole conf]# cp zoo_sample.cfg zoo.cfg
[root@sole conf]# vi zoo.cfg# 在zoo.cfg这个文件中，配置集群信息是存在一定的格式：service.N =YYY:A:B
# N：代表服务器编号（也就是myid里面的值）；
# YYY：服务器地址/hostname；
# A：表示 Flower 跟 Leader的通信端口，简称服务端内部通信的端口（默认2888）；
# B：表示 是选举端口（默认是3888）；
dataDir=/opt/software/zookeeper-3.4.10/mydata
server.1=sole:2888:3888
# 启动服务
[root@sole ~]# zkServer.sh start
6. HBase
下载地址：.4.10/
# 解压
[root@sole install]# tar -zxvf hbase-2.4.12-bin.tar.gz -C /opt/software/
##########################################################################################
# 编辑环境变量
[root@sole ~]# vi /etc/profile.d/my.sh
#HBASE_HOME
export HBASE_HOME=/opt/software/hbase-2.4.12
export PATH=$HBASE_HOME/bin:$PATH
# 重新加载
[root@sole ~]# source /etc/profile
# 配置
[root@sole ~]# cd /opt/software/hbase-2.4.12/conf/
[root@sole conf]# vi hbase-env.shexport JAVA_HOME=/opt/software/jdk1.8.0_391
[root@sole conf]# vi hbase-site.xml
<configuration><property><name>hbase.rootdir</name><value>hdfs://sole:9000/hbase</value></property><property><name>hbase.cluster.distributed</name><value>true</value></property><property><name>hbase.tmp.dir</name><value>./tmp</value></property><property><name>hbase.zookeeper.property.clientPort</name><value>2181</value></property><property><name>hbase.zookeeper.property.dataDir</name><value>/opt/software/zookeeper-3.4.10/mydata</value></property><property><name>hbase.unsafe.stream.capability.enforce</name><value>false</value></property>
</configuration>
# 启动服务
[root@sole ~]# start-hbase.sh
PS：如果有写错或者写的不好的地方，欢迎各位大佬在评论区留下宝贵的意见或者建议，敬上！如果这篇博客对您有帮助，希望您可以顺手帮我点个赞！不胜感谢！
| 原创作者：wsjslient |
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