Hadoop集群搭建及配置⑦—— Spark&Scala安装配置

电玩女神 2022-11-06 04:57 215阅读 0赞

### Spark&Scala安装配置 ###

*   *  1.1 用FTP把压缩包发送到linux master
     *  1.2 linux系统下的安装scala
     *   *   *  1.2.1创建scala文件
             *  1.2.2 解压缩
             *  1.2.3 配置Scala环境变量
             *  1.2.4 分发文件
     *  1.3 安装Spark
     *   *   *  1.3.1 创建文件
             *  1.3.2 解压并配置文件
             *  1.3.3 配置spark从节点，修改slaves文件
             *  1.3.4 配置spark环境（三个节点）
             *  1.3.5 分发spark文件
             *  1.3.6 启动spark集群（master）
             *  1.3.7 进入spark-shell交互

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[Hadoop集群搭建及配置⑤ —— Zookeeper 讲解及安装][Hadoop_ _ Zookeeper]

[Hadoop集群搭建及配置⑥ —— Hadoop组件安装及配置][Hadoop_ _ Hadoop]

[Hadoop集群搭建及配置⑦—— Spark&Scala安装配置][Hadoop_ Spark_Scala]

[Hadoop集群搭建及配置⑧——Hbase的安装配置][Hadoop_Hbase]

[解决spark单点故障问题——Spark HA部署][spark_Spark HA]

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## 1.1 用FTP把压缩包发送到linux master ##

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## 1.2 linux系统下的安装scala ##

#### 1.2.1创建scala文件 ####

mkdir /usr/scala

#### 1.2.2 解压缩 ####

tar -zxvf /home/master/Downloads/scala-2.11.12.tgz -C /usr/scala

#### 1.2.3 配置Scala环境变量 ####

vi /etc/profile
    #scala home(三个节点都要)
    export SCALA_HOME=/usr/scala/scala-2.11.12 # 与Scala文件夹路径一致
    export PATH=$SCALA_HOME/bin:$PATH

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# 保存退出后，生效环境，再查看Scala版本
    source /etc/profile 
    scala -version

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#### 1.2.4 分发文件 ####

scp -r /usr/scala root@slave1:/usr
    scp -r /usr/scala root@slave2:/usr

![在这里插入图片描述][20210308095313310.png]

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## 1.3 安装Spark ##

#### 1.3.1 创建文件 ####

mkdir -p /usr/spark/

#### 1.3.2 解压并配置文件 ####

tar -zxvf /home/master/Downloads/spark-2.4.0-bin-hadoop2.7.tgz -C /usr/spark/
    
    cd /usr/spark/spark-2.4.0-bin-hadoop2.7/conf
    
    # 把配置文件spark-env.sh.template复制为spark-env.sh并编辑
    cp spark-env.sh.template spark-env.sh
    
    vi spark-env.sh
    # spark配置
    export SPARK_MASTER_IP=master
    export SCALA_HOME=/usr/scala/scala-2.11.12
    export SPARK_WORKER_MEMORY=8g
    export JAVA_HOME=/usr/java/jdk1.8.0_171
    export HADOOP_HOME=/usr/hadoop/hadoop-2.7.3
    export HADOOP_CONF_DIR=/usr/hadoop/hadoop-2.7.3/etc/hadoop

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#### 1.3.3 配置spark从节点，修改slaves文件 ####

cp slaves.template slaves
    
    vi slaves
    slave1
    slave2

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![在这里插入图片描述][20210308095419610.png]

#### 1.3.4 配置spark环境（三个节点） ####

vi /etc/profile
    
    #spark home
    export SPARK_HOME=/usr/spark/spark-2.4.0-bin-hadoop2.7
    export PATH=$SPARK_HOME/bin:$PATH
    source /etc/profile

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#### 1.3.5 分发spark文件 ####

scp -r /usr/spark root@slave1:/usr

#### 1.3.6 启动spark集群（master） ####

在 /usr/spark/spark-2.4.0-bin-hadoop2.7/ 目录下:
    sbin/start-all.sh
    # 可以用jps 查看启动情况

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDc3NTI1NQ_size_16_color_FFFFFF_t_70 5]  
![在这里插入图片描述][20210308095542767.png]  
启动成功 打开浏览器 `192.168.142.128:8080`  
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#### 1.3.7 进入spark-shell交互 ####

spark-shell
    # 输入命令，执行scala
    println("hello,world")

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配置完成。

[Hadoop_ _ Zookeeper]: https://blog.csdn.net/weixin_44775255/article/details/113772666
[Hadoop_ _ Hadoop]: https://blog.csdn.net/weixin_44775255/article/details/113775449
[Hadoop_ Spark_Scala]: https://blog.csdn.net/weixin_44775255/article/details/114518207
[Hadoop_Hbase]: https://blog.csdn.net/weixin_44775255/article/details/114676669
[spark_Spark HA]: https://blog.csdn.net/weixin_44775255/article/details/114796573
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