macos安装local模式spark

文章目录

• 配置说明
• 安装hadoop
• 安装Spark
• 测试安装成功

配置说明

Scala - 3.18+

Spark - 3.5.0

Hadoop - 3.3.6

安装hadoop

1. 从这里下载相应版本的hadoop
2. 下载后解压，配置系统环境变量

> sudo vim /etc/profile

添加以下两行

export HADOOP_HOME=/Users/collinsliu/hadoop-3.3.6/
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

请自行替换位置

然后执行并生效系统环境变量

> source /etc/profile

安装Spark

1. 从这里下载相应版本的Spark
2. 下载后解压，同时类似于hadoop，配置系统环境变量

> sudo vim /etc/profile

添加以下两行

export SPARK_HOME=/Users/collinsliu/spark-3.5.0
export PATH=$PATH:$SPARK_HOME/bin

请自行替换位置

然后执行并生效系统环境变量

> source /etc/profile

3. 然后配置spark连接hadoop，形成local模式：
   a. 首先进入conf文件夹

> cd /Users/collinsliu/spark-3.5.0/conf

b. 其次替换配置文件

> cp spark-env.sh.template spark-env.sh
> vim spark-env.sh

c. 添加以下三条连接，使得spark能够找到对应的hadoop和相应的包

export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0_311.jdk/Contents/Home
export HADOOP_CONF_DIR=/Users/collinsliu/hadoop-3.3.6/etc/hadoop
export SPARK_DIST_CLASSPATH=$(/Users/collinsliu/hadoop-3.3.6/bin/hadoop classpath)

测试安装成功

1. 使用内置命令测试

> cd /Users/collinsliu/spark-3.5.0/
> ./run-example SparkPi

可以看到很多输出，最后找到

...
24/02/07 00:31:33 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks resource profile 0
24/02/07 00:31:33 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0) (192.168.0.100, executor driver, partition 0, PROCESS_LOCAL, 8263 bytes) 
24/02/07 00:31:33 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1) (192.168.0.100, executor driver, partition 1, PROCESS_LOCAL, 8263 bytes) 
24/02/07 00:31:33 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)
24/02/07 00:31:33 INFO Executor: Running task 1.0 in stage 0.0 (TID 1)
24/02/07 00:31:34 INFO Executor: Finished task 1.0 in stage 0.0 (TID 1). 1101 bytes result sent to driver
24/02/07 00:31:34 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 1101 bytes result sent to driver
24/02/07 00:31:34 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 1120 ms on 192.168.0.100 (executor driver) (1/2)
24/02/07 00:31:34 INFO TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 923 ms on 192.168.0.100 (executor driver) (2/2)
24/02/07 00:31:34 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 
24/02/07 00:31:34 INFO DAGScheduler: ResultStage 0 (reduce at SparkPi.scala:38) finished in 1.737 s
24/02/07 00:31:34 INFO DAGScheduler: Job 0 is finished. Cancelling potential speculative or zombie tasks for this job
24/02/07 00:31:34 INFO TaskSchedulerImpl: Killing all running tasks in stage 0: Stage finished
24/02/07 00:31:34 INFO DAGScheduler: Job 0 finished: reduce at SparkPi.scala:38, took 1.807145 s
Pi is roughly 3.1405357026785135

说明安装成功

2. 打开sparkshell

> spark-shell

出现以下内容

24/02/07 00:48:12 WARN Utils: Your hostname, Collinss-MacBook-Air.local resolves to a loopback address: 127.0.0.1; using 192.168.0.100 instead (on interface en0)
24/02/07 00:48:12 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 3.5.0
      /_/
         
Using Scala version 2.13.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_311)
Type in expressions to have them evaluated.
Type :help for more information.
24/02/07 00:48:22 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Spark context Web UI available at http://192.168.0.100:4040
Spark context available as 'sc' (master = local[*], app id = local-1707238103536).
Spark session available as 'spark'.

scala> 

说明安装成功