0 下载软件

下载JDK: jdk-8u161-linux-x64.tar.gz
下载 hadoop 3.1.3: http://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-3.1.3/hadoop-3.1.3.tar.gz
下载 hive 3.1.2: https://www-us.apache.org/dist/hive/hive-3.1.2/apache-hive-3.1.2-bin.tar.gz
在 mysql 官网 https://dev.mysql.com/downloads/connector/j/
下载 mysql-connector-java-8.0.18.tar.gz

1 基础镜像构建

下载好上述文件后将文件统一放置在一个目录中，并创建 Dockerfile

FROM centos:7

RUN curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.163.com/.help/CentOS7-Base-163.repo
RUN yum clean all && yum makecache

# 安装openssh-server和sudo软件包，并且将sshd的UsePAM参数设置成no
RUN yum install -y openssh-server sudo
RUN sed -i 's/UsePAM yes/UsePAM no/g' /etc/ssh/sshd_config
#安装openssh-clients
RUN yum  install -y openssh-clients

RUN yum  install -y vim net-tools which

# 添加测试用户root，密码root，并且将此用户添加到sudoers里
RUN echo "root:root" | chpasswd
RUN echo "root   ALL=(ALL)       ALL" >> /etc/sudoers
# 下面这两句比较特殊，在centos6上必须要有，否则创建出来的容器sshd不能登录
RUN ssh-keygen -t dsa -f /etc/ssh/ssh_host_dsa_key
RUN ssh-keygen -t rsa -f /etc/ssh/ssh_host_rsa_key

WORKDIR /usr/local/

COPY jdk-8u161-linux-x64.tar.gz /usr/local/
RUN tar -zxf jdk-8u161-linux-x64.tar.gz
RUN mv jdk1.8.0_161 jdk1.8
ENV JAVA_HOME /usr/local/jdk1.8
ENV PATH $JAVA_HOME/bin:$PATH

COPY hadoop-3.1.3.tar.gz /usr/local/
RUN tar -zxf hadoop-3.1.3.tar.gz
RUN mv hadoop-3.1.3 hadoop
ENV HADOOP_HOME /usr/local/hadoop
ENV PATH $HADOOP_HOME/bin:$PATH

COPY apache-hive-3.1.2-bin.tar.gz /usr/local/
RUN tar -zxf apache-hive-3.1.2-bin.tar.gz
RUN mv apache-hive-3.1.2-bin hive
ENV HIVE_HOME /usr/local/hive
ENV PATH $HIVE_HOME/bin:$PATH
RUN mkdir -p /home/hadoop/hive/tmp

COPY mysql-connector-java-8.0.18.tar.gz /usr/local/
RUN tar -zxf mysql-connector-java-8.0.18.tar.gz
RUN mv mysql-connector-java-8.0.18/mysql-connector-java-8.0.18.jar $HIVE_HOME/lib

WORKDIR /usr/local/hadoop

# 启动sshd服务并且暴露22端口
RUN mkdir /var/run/sshd
EXPOSE 22
CMD ["/usr/sbin/sshd", "-D"]

确认当前目录下有以下文件

Dockerfile
jdk-8u161-linux-x64.tar.gz
hadoop-3.1.3.tar.gz
apache-hive-3.1.2-bin.tar.gz
mysql-connector-java-8.0.18.tar.gz

然后构建 docker 镜像, 取名为 centos-hadoop

docker build -t=centos-hadoop .

2 搭建 HDFS 环境

创建 docker 网络

docker network create --subnet=172.20.10.0/24 hadoop

创建三个节点容器

docker run --name hadoop0 --hostname hadoop0 --net hadoop --ip 172.20.10.100 -d -P -p 50070:50070 -p 8088:8088 -p 9083:9083 -p 10000:10000 -p 8888:8888 centos-hadoop

docker run --name hadoop1 --hostname hadoop1 --net hadoop --ip 172.20.10.101 -d -P centos-hadoop

docker run --name hadoop2 --hostname hadoop2 --net hadoop --ip 172.20.10.102 -d -P centos-hadoop

设置ssh免密码登录

docker exec -it hadoop0 bash
cd  ~
mkdir .ssh
cd .ssh
ssh-keygen -t rsa
(一直按回车即可)
ssh-copy-id -i localhost
ssh-copy-id -i hadoop0
ssh-copy-id -i hadoop1
ssh-copy-id -i hadoop2
(密码都是 root)
exit

docker exec -it hadoop1 bash
cd  ~
mkdir .ssh
cd .ssh
ssh-keygen -t rsa
ssh-copy-id -i localhost
ssh-copy-id -i hadoop0
ssh-copy-id -i hadoop1
ssh-copy-id -i hadoop2
exit

docker exec -it hadoop2 bash
cd  ~
mkdir .ssh
cd .ssh
ssh-keygen -t rsa
ssh-copy-id -i localhost
ssh-copy-id -i hadoop0
ssh-copy-id -i hadoop1
ssh-copy-id -i hadoop2
exit

在hadoop0上修改hadoop的配置文件:

exec -it hadoop0 bash
cd /usr/local/hadoop/etc/hadoop

hadoop-env.sh 中添加

export JAVA_HOME=/usr/local/jdk1.8

core-site.xml 中添加

<configuration>
        <property>
                <name>fs.defaultFS</name>
                <value>hdfs://hadoop0:9000</value>
        </property>
        <property>
                <name>hadoop.tmp.dir</name>
                <value>/usr/local/hadoop/tmp</value>
        </property>
         <property>
                 <name>fs.trash.interval</name>
                 <value>1440</value>
        </property>
</configuration>

hdfs-site.xml 中添加

<configuration>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
    <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>
    <property>
        <name>dfs.namenode.http-address</name>
        <value>0.0.0.0:50070</value>
    </property>
</configuration>

yarn-site.xml 中添加

<configuration>
        <property>
                <name>yarn.nodemanager.aux-services</name>
                <value>mapreduce_shuffle</value>
        </property>
        <property> 
                <name>yarn.log-aggregation-enable</name> 
                <value>true</value> 
        </property>
</configuration>

mapred-site.xml 中添加

<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
<property>
  <name>yarn.app.mapreduce.am.env</name>
  <value>HADOOP_MAPRED_HOME=/usr/local/hadoop</value>
</property>
<property>
  <name>mapreduce.map.env</name>
  <value>HADOOP_MAPRED_HOME=/usr/local/hadoop</value>
</property>
<property>
  <name>mapreduce.reduce.env</name>
  <value>HADOOP_MAPRED_HOME=/usr/local/hadoop</value>
</property>
</configuration>

修改启动和停止的脚本文件:

cd /usr/local/hadoop/sbin

start-dfs.sh stop-dfs.sh 行首空白处添加

HDFS_DATANODE_USER=root
HADOOP_SECURE_DN_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root

start-yarn.sh stop-yarn.sh 行首空白处添加

YARN_RESOURCEMANAGER_USER=root
HADOOP_SECURE_DN_USER=yarn
YARN_NODEMANAGER_USER=root

确认 hdfs 命令可用

which hdfs

格式化

hdfs namenode -format

先尝试启动伪分布 hadoop （可跳过此步）

cd /usr/local/hadoop
sbin/start-dfs.sh
sbin/start-yarn.sh

验证 jps 类似如下

$ jps
1970 ResourceManager
1330 NameNode
2099 NodeManager
1463 DataNode
2440 Jps
1678 SecondaryNameNode

停止伪分布hadoop

sbin/stop-dfs.sh
sbin/stop-yarn.sh

分布式配置

etc/hadoop/yarn-site.xml 增加

<property>
    <description>The hostname of the RM.</description>
    <name>yarn.resourcemanager.hostname</name>
    <value>hadoop0</value>
</property>

etc/hadoop/workers 增加

hadoop1
hadoop2

复制配置文件到其他节点

scp  -rq /usr/local/hadoop   hadoop1:/usr/local
scp  -rq /usr/local/hadoop   hadoop2:/usr/local

启动hadoop分布式集群服务, 各节点均执行

sbin/stop-dfs.sh
sbin/stop-yarn.sh
sbin/start-dfs.sh
sbin/start-yarn.sh

验证集群是否正常

hadoop0上需要有这几个 jps 进程

$ jps
4643 Jps
4073 NameNode
4216 SecondaryNameNode
4381 ResourceManager

hadoop1 hadoop2上需要有这几个 jps 进程

$ jps
715 NodeManager
849 Jps
645 DataNode

Web UI
http://your.domain:50070
http://your.domain:8088

文件读写验证

cat > a.txt << EOF
a,1,12.4
b,20,5.5
EOF
hdfs dfs -mkdir /test
hdfs dfs -put a.txt /test/
hdfs dfs -ls /test
hdfs dfs -text /test/a.txt

mapreduce 验证

cat > b.txt << EOF
hello world
hello hadoop
EOF
hdfs dfs -put b.txt /
cd /usr/local/hadoop/share/hadoop/mapreduce
hadoop jar hadoop-mapreduce-examples-3.1.3.jar wordcount /b.txt /out
hdfs dfs -text /out/part-r-00000

以上就搭建好了 HDFS 分布式文件系统了！

3 搭建 Hive 环境

创建元数据库

docker run --name mysql -v /var/lib/mysql:/var/lib/mysql -e MYSQL_ROOT_PASSWORD=root -p 3306:3306 --net=hadoop -d mysql:5.7
docker exec -it mysql bash
mysql -u root -proot
create database metastore default character set utf8mb4 collate utf8mb4_unicode_ci;

在 hdfs 创建目录

hdfs dfs -mkdir -p /user/hive/warehouse
hdfs dfs -mkdir -p /user/hive/tmp
hdfs dfs -mkdir -p /user/hive/log
hdfs dfs -chmod -R 777 /user/hive/warehouse
hdfs dfs -chmod -R 777 /user/hive/tmp
hdfs dfs -chmod -R 777 /user/hive/log

配置 hive:

mkdir -p /home/hadoop/hive/tmp
cd /usr/local/hive
cd hive/conf
cp hive-env.sh.template hive-env.sh
cp hive-default.xml.template hive-site.xml
cp hive-log4j2.properties.template hive-log4j2.properties
cp hive-exec-log4j2.properties.template hive-exec-log4j2.properties

hive-env.sh

export JAVA_HOME=/usr/local/jdk1.8    ##Java路径
export HADOOP_HOME=/usr/local/hadoop   ##Hadoop安装路径
export HIVE_HOME=/usr/local/hive    ##Hive安装路径
export HIVE_CONF_DIR=/hive/conf    ##Hive配置文件路径

hive-site.xml

<property>
    <name>hive.exec.scratchdir</name>
    <value>/user/hive/tmp</value>
</property>

<property>
    <name>hive.metastore.warehouse.dir</name>
    <value>/user/hive/warehouse</value>
</property>

<property>
    <name>hive.querylog.location</name>
    <value>/user/hive/log</value>
</property>

<property>
    <name>javax.jdo.option.ConnectionURL</name>
    <value>jdbc:mysql://taojy123.com:3306/metastore?createDatabaseIfNotExist=true&amp;characterEncoding=UTF-8&amp;useSSL=false</value>
  </property>

  <property>
    <name>javax.jdo.option.ConnectionDriverName</name>
    <value>com.mysql.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>

${system:java.io.tmpdir} 替换成 /home/hadoop/hive/tmp
{system:user.name} 替换成 {user.name}

:%s/${system:java.io.tmpdir}/\/home\/hadoop\/hive\/tmp/g
:%s/{system:user.name}/{user.name}/g

初始化 hive

schematool -dbType mysql -initSchema

可能会遇到两个报错:

NoSuchMethodError … checkArgument
解决方法

cd /usr/local/hive/lib
mv guava-19.0.jar guava-19.0.jar.bak
cp /usr/local/hadoop/share/hadoop/common/lib/guava-27.0-jre.jar ./

WstxParsingExceptionIllegal character entity
解决方法

vim /usr/local/hive/conf/hive-site.xml
删除 3215 行中的 &#8; 字符

再次初始化 hive 成功

开启 server

nohup hive --service hiveserver2 &
nohup hive --service metastore &

尝试创建外部表

$ hive
create external table test
(name string, num int, score float)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE
location '/test';

查看表数据

select * from test;

如正常看到2行表数据，说明 Hive 环境搭建成功！

30 分钟手工搭建 HDFS + Hive 环境

30 分钟手工搭建 HDFS + Hive 环境

0 下载软件

1 基础镜像构建

2 搭建 HDFS 环境

3 搭建 Hive 环境

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