Windows环境部署Hadoop-3.3.2和Spark3.3.2

一、Windows环境部署Hadoop-3.3.2

1.CMD管理员解压Hadoop压缩包

不可以直接用winRAR，会报错

输入命令

start winrar x -y 压缩包 压缩路径

例如,将xx.tar.gz解压到当前目录
cd xxx                                // 进入到xx.tar.gz目录下
start winrar x -y xx.tar.gz ./        // 即可

##############################################

start winrar x -y hadoop-3.3.2.tar.gz ./

2.配置系统环境变量

PATH中添加

3.下载hadoop winutils文件

下载链接：https://github.com/cdarlint/winutils

选择hadoop3.2.2的bin包即可

下载并解压后，将winutils里面的bin目录中所有的文件复制到hadoop-3.3.2/bin目录下，注意不要直接替换整个bin目录，是把bin下的文件复制过去

4.修改D:\server\hadoop-3.3.2\etc\hadoop目录下的配置文件

(1)core-site.xml

<configuration>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/D:/server/hadoop-3.3.2/data/tmp</value> 
    </property>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://localhost:9000</value>
    </property>
</configuration>

(2)hdfs-site.xml

<configuration>
    <!-- 这个参数设置为1，因为是单机版hadoop -->
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>/D:/server/hadoop-3.3.2/data/namenode</value>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/D:/server/hadoop-3.3.2/data/datanode</value>
    </property>
</configuration>

(3)mapred-site.xml

<configuration>
    <property>
       <name>mapreduce.framework.name</name>
       <value>yarn</value>
    </property>
    <property>
       <name>mapred.job.tracker</name>
       <value>hdfs://localhost:9001</value>
    </property>
</configuration>

(4)yarn-site.xml

<configuration>
     <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
        <value>org.apache.hahoop.mapred.ShuffleHandler</value>
    </property>
</configuration>

(5)workers

localhost

(6)hadoop-env.cmd

# 大约在24行左右

@rem The java implementation to use.  Required.
set JAVA_HOME=C:\PROGRA~1\Java\jdk1.8.0_333
# 注意java目录要改成PROGRA~1的位置

# 大约在在最后一行
set HADOOP_IDENT_STRING=%"USERNAME"%

5.初始化hadoop

管理员运行CMD

Microsoft Windows [版本 10.0.19045.4046]
(c) Microsoft Corporation。保留所有权利。

C:\WINDOWS\system32>D:

D:\>cd server\hadoop-3.3.2

D:\server\hadoop-3.3.2>hadoop version
Hadoop 3.3.2
Source code repository [email protected]:apache/hadoop.git -r 0bcb014209e219273cb6fd4152df7df713cbac61
Compiled by chao on 2022-02-21T18:39Z
Compiled with protoc 3.7.1
From source with checksum 4b40fff8bb27201ba07b6fa5651217fb
This command was run using /D:/server/hadoop-3.3.2/share/hadoop/common/hadoop-common-3.3.2.jar

D:\server\hadoop-3.3.2>hdfs namenode -format

6.启动Hadoop

D:\server\hadoop-3.3.2>cd sbin

D:\server\hadoop-3.3.2\sbin>start-all.cmd
This script is Deprecated. Instead use start-dfs.cmd and start-yarn.cmd
starting yarn daemons

会出现4个窗口

7.进入浏览器查看

localhost:9870

localhost:8088

二、Windows环境部署Spark-3.3.2

1.下载压缩包

Index of /dist/spark/spark-3.3.2

2.解压后配置环境变量

解压命令和上面的解压hadoop命令一样

配置环境变量：

PATH路径添加**%SPARK_HOME%\bin**

3.进入spark-shell

4.进入浏览器

localhost:4040