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Mac部署spark2.4.4

作者:互联网

环境信息

  1. 操作系统:macOS Mojave 10.14.6
  2. JDK:1.8.0_211 (安装位置:/Library/Java/JavaVirtualMachines/jdk1.8.0_211.jdk/Contents/Home)

前提条件

请参考《Mac部署hadoop3(伪分布式)》一文,在Mac上事先部署好hadoop3

部署步骤

  1. 安装scala:
brew install scala
  1. 配置scala的环境变量,打开文件~/.bash_profile,增加以下配置内容:
export SCALA_HOME=/usr/local/Cellar/scala/2.13.0
export PATH=$PATH:$SCALA_HOME/bin
  1. 执行命令source ~/.bash_profile,再验证scala:
base) zhaoqindeMBP:~ zhaoqin$ scala -version
Scala code runner version 2.13.0 -- Copyright 2002-2019, LAMP/EPFL and Lightbend, Inc.
  1. 下载spark,地址是:http://spark.apache.org/downloads.html ,如下图红框:
    在这里插入图片描述
  2. 将下载的文件在/usr/local/目录下解压,并将文件夹名字从spark-2.4.4-bin-hadoop2.7改为spark
  3. 配置spark的环境变量,打开文件~/.bash_profile,增加以下配置内容:
export SPARK_HOME=/usr/local/spark
export PATH=$PATH:$SPARK_HOME/bin
  1. 执行命令source ~/.bash_profile使配置生效;
  2. 打开文件spark/conf/spark-env.sh,在尾部增加以下三行:
export SCALA_HOME=/usr/local/Cellar/scala/2.13.0
export SPARK_MASTER_IP=localhost
export SPARK_WORKER_MEMORY=2G
  1. 确保hdfs和yarn已经启动,然后执行命令spark-shell,即可启动spark服务:
To update your account to use zsh, please run `chsh -s /bin/zsh`.
For more details, please visit https://support.apple.com/kb/HT208050.
(base) zhaoqindeMBP:~ zhaoqin$ spark-shell
19/10/27 13:33:51 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting 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://zhaoqindembp:4040
Spark context available as 'sc' (master = local[*], app id = local-1572154437623).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.4.4
      /_/

Using Scala version 2.11.12 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_211)
Type in expressions to have them evaluated.
Type :help for more information.

scala>

至此,Mac机器上的hadoop和spark都运行起来了,希望本文能给您带来一些参考。

https://github.com/zq2599/blog_demos

标签:__,scala,部署,Mac,export,spark2.4,HOME,spark,local
来源: https://www.cnblogs.com/bolingcavalry/p/13703571.html