1 安装 Spark
使用如下命令下载 Spark，：
wget http://mirrors.hust.edu.cn/apache/spark/spark-2.4.0/spark-2.4.0-bin-hadoop2.7.tgz
解压 tgz 包：
tar zxvf spark-2.4.0-bin-hadoop2.7.tgz
修改环境变量并声明：
vim ~/.bashrcexport SPARK_HOME=$HOME/spark-2.4.0-bin-hadoop2.7export PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbinsource ~/.bashrc
打开配置文件：
cd $SPARK_HOME/confcp spark-env.sh.template spark-env.shvim spark-env.sh
添加变量：
export JAVA_HOME=/usr/java/jdk1.8.0_191-amd64export SCALA_HOME=/usr/java/scala-2.11.8export SPARK_HOME=/root/spark-2.4.0-bin-hadoop2.7export SPARK_MASTER_IP=** your ip **export SPARK_EXECUTOR_MEMORY=1G
2 部署 Standalone Spark
启动 spark：
cd $SPARK_HOME./sbin/start-all.sh
检查是否启动成功（使用 spark 客户端）：
./bin/spark-shell
输出以下表示成功：
2018-12-26 11:20:33 WARN NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicableSetting default log level to "WARN".To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).Spark context Web UI available at http://spark-2:4040Spark context available as 'sc' (master = local[*], app id = local-1545841253565).Spark session available as 'spark'.Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 2.4.0 /_/ Using Scala version 2.11.12 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_191)Type in expressions to have them evaluated.Type :help for more information.scala>