一、1、Hadoop的安装与环境配置

安装JDK:

首先检查Java是否已经安装:

java -version

如果没有安装,点击链接https://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html 并选择相应系统以及位数下载(本文选择jdk-8u381-linux-x64.tar.gz,如具体版本不同则灵活修改)

为其单独创立一个文件夹,然后将其放到该目录下(下载后以具体为止为准):

sudo mkdir -p /usr/local/java
sudo mv ~/Downloads/jdk-8u381-linux-x64.tar.gz  /usr/local/java/

进入该目录进行解压:

cd /usr/local/java
sudo tar xvzf jdk-8u381-linux-x64.tar.gz

解压成功后会在当前目录下看到jdk1.8.0_381安装包,然后删除安装包:

sudo rm jdk-8u381-linux-x64.tar.gz

配置JDK:

设置环境变量,打开环境变量的配置文件:

sudo vim /etc/profile

在末尾添加:

JAVA_HOME=/usr/local/java/jdk1.8.0_381
PATH=$PATH:$HOME/bin:$JAVA_HOME/bin
export JAVA_HOME
export PATH

告诉linux Java JDK的位置并设置为默认模式:

sudo update-alternatives --install "/usr/bin/java" "java" "/usr/local/java/jdk1.8.0_381/bin/java" 1
sudo update-alternatives --install "/usr/bin/javac" "javac" "/usr/local/java/jdk1.8.0_381/bin/javac" 1
sudo update-alternatives --install "/usr/bin/javaws" "javaws" "/usr/local/java/jdk1.8.0_381/bin/javaws" 1
sudo update-alternatives --set java  /usr/local/java/jdk1.8.0_381/bin/java
sudo update-alternatives --set javac  /usr/local/java/jdk1.8.0_381/bin/javac
sudo update-alternatives --set javaws  /usr/local/java/jdk1.8.0_381/bin/javaws

重新加载环境变量的配置文件:

source /etc/profile

检测Java版本:

java -version

如果出现以下代表成功:

java version "1.8.0_381"
Java(TM) SE Runtime Environment (build 1.8.0_381-b07)
Java HotSpot(TM) 64-Bit Server VM (build 25.381-b07, mixed mode)

安装Hadoop:

进入镜像文件https://mirrors.cnnic.cn/apache/hadoop/common/ 选择对应Hadoop版本(本文选择hadoop-3.3.6.tar.gz)

然后将其解压至刚刚创建的文件夹 /usr/local并删除安装包:

sudo tar -zxf ~/Downloads/hadoop-3.3.6.tar.gz -C /usr/local
rm ~/Downloads/hadoop-3.3.6.tar.gz

重命名文件夹并修改权限(其中phenix为用户名):

cd /usr/local/
sudo mv hadoop-3.3.6 hadoop
sudo chown -R phenix ./hadoop

检测hadoop版本:

/usr/local/hadoop/bin/hadoop version

出现以下信息则代表成功:

Hadoop 3.3.6
Subversion ssh://git.corp.linkedin.com:29418/hadoop/hadoop.git -r e2f1f118e465e787d8567dfa6e2f3b72a0eb9194
From source with checksum 7b2d8877c5ce8c9a2cca5c7e81aa4026
This command was run using /usr/local/hadoop/share/hadoop/common/hadoop-common-3.3.6.jar

配置Hadoop(伪分布式):

切换到路径/usr/local/hadoop/etc/hadoop下,需要修改2个配置文件core-site.xml和hdfs-site.xml。

首先打开core-site.xml

cd /usr/local/hadoop/etc/hadoop
vim core-site.xml

中添加如下配置:


        
                hadoop.tmp.dir
                /usr/local/hadoop/tmp
                Abase for other temporary directories.
        
        
                fs.defaultFS
                hdfs://localhost:9000
        

注:本文使用的是hdfs://localhost:9000即hdfs文件系统

再打开hdfs-site.xml:

vim hdfs-site.xml

同样在中添加如下配置:


        
                dfs.replication
                1
        
        
                dfs.namenode.name.dir
                /usr/local/hadoop/tmp/dfs/name
        
        
                dfs.datanode.data.dir
                /usr/local/hadoop/tmp/dfs/data
        

注:dfs.replication就是指备份的份数;dfs.namenode.name.dir和dfs.datanode.data.dir分别指名称节点和数据节点存储路径

切换回hadoop主目录并执行NameNode的格式化(格式化成功后轻易不要再次格式化):

cd /usr/local/hadoop
./bin/hdfs namenode -format

出现以下信息代表成功:

00000000 using no compression
18/08/20 11:07:16 INFO namenode.FSImageFormatProtobuf: Image file /usr/local/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 320 bytes saved in 0 seconds .
18/08/20 11:07:16 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
18/08/20 11:07:16 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at phenix/127.0.1.1
************************************************************/

手动添加JAVA_HOME,在hadoop-env.sh文件中添:

cd etc/hadoop/
vim hadoop-env.sh

在hadoop-env.sh文件中添加如下内容即可:

export JAVA_HOME=/usr/local/java/jdk1.8.0_381

设置本机免密码登录(不设置启动会报错Permission denied)

 切换到 ~/.ssh目录下:

ssh-keygen -t rsa
# 一路回车+yes
cat id_rsa.pub >> authorized_keys
# 将公钥追加到authorized_keys文件
chmod 600 authorized_keys
# 更改权限

开启NameNode和DataNode守护进程:

./sbin/start-dfs.sh

开启yarn资源管理器:

./sbin/start-yarn.sh

验证:

jps

出现以下六个则代表启动成功:

18192 DataNode
18922 NodeManager
20044 Jps
18812 ResourceManager
18381 SecondaryNameNode
18047 NameNode

简单示例:

首先切换至hadoop主目录并在HDFS中创建用户目录:

./bin/hdfs dfs -mkdir -p /user/hadoop

创建输入文件夹:

./bin/hdfs dfs -mkdir /user/hadoop/input

将etc/hadoop下所有的xml文件复制到输入:

./bin/hdfs dfs -put ./etc/hadoop/*.xml /user/hadoop/input

然后通过命令查看:

./bin/hdfs dfs -ls /user/hadoop/input

结果如下:

Found 8 items
-rw-r--r--   1 phenix supergroup       8814 2020-01-31 13:21 /user/hadoop/input/capacity-scheduler.xml
-rw-r--r--   1 phenix supergroup       1119 2020-01-31 13:21 /user/hadoop/input/core-site.xml
-rw-r--r--   1 phenix supergroup      10206 2020-01-31 13:21 /user/hadoop/input/hadoop-policy.xml
-rw-r--r--   1 phenix supergroup       1173 2020-01-31 13:21 /user/hadoop/input/hdfs-site.xml
-rw-r--r--   1 phenix supergroup        620 2020-01-31 13:21 /user/hadoop/input/httpfs-site.xml
-rw-r--r--   1 phenix supergroup       3518 2020-01-31 13:21 /user/hadoop/input/kms-acls.xml
-rw-r--r--   1 phenix supergroup       5939 2020-01-31 13:21 /user/hadoop/input/kms-site.xml
-rw-r--r--   1 phenix supergroup        690 2020-01-31 13:21 /user/hadoop/input/yarn-site.xml

运行grep:

./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.6.jar grep /user/hadoop/input output 'dfs[a-z]+'

查看运行结果:

./bin/hdfs dfs -cat output/*

出现以下输出则说明Hadoop集群搭建完成:

1  1   dfsadmin

我们还可以利用HDFS Web界面,不过只能查看文件系统数据,点击链接http://ip:9870即可进行查看

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