实战-Spark单机环境安装教程

Spark的单机安装方法很简单,这里我已spark2.4.5为例演示，最后启动的是cdh安装的spark2.4.0.

1. 下载 http://spark.apache.org/downloads.html
2. 解压tar -zxvf spark-2.4.5-bin-hadoop2.7.tgz -C /usr/local
3. 配置环境变量 vi ~/.bash_profile

export SPARK_HOME=/usr/local/spark-2.4.5-bin-hadoop2.7
export PATH=$SPARK_HOME/bin:$PATH

4. 刷新环境变量

source  ~/.bash_profile

5. Local模式启动
   Local 模式是最简单的一种运行方式，它采用单节点多线程方式运行，不用部署，开箱即用，适合日常测试开发。

   local：只启动一个工作线程；
   local[k]：启动 k 个工作线程；
   local[*]：启动跟 cpu 数目相同的工作线程数。

6. 启动spark-shell

spark-shell --master local[2]

[syq@cdh ~]$ sudo -u hdfs spark-shell --master local[2]
[sudo] syq 的密码：
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
20/03/12 00:06:13 WARN lineage.LineageWriter: Lineage directory /var/log/spark/lineage doesn't exist or is not writable. Lineage for this application will be disabled.
Spark context Web UI available at http://cdh:4040
Spark context available as 'sc' (master = local[2], app id = local-1583942771326).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.4.0-cdh6.2.0
      /_/
         
Using Scala version 2.11.12 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_181)
Type in expressions to have them evaluated.
Type :help for more information.

scala> 

我们也可以查看Spark的Web UI界面，访问http://192.168.2.97:4040

至此：spark环境搭建成功