安装openjdk21

1. 下载

wget https://download.java.net/openjdk/jdk21/ri/openjdk-21+35_linux-x64_bin.tar.gz

2. 解压

tar -xvf openjdk-21+35_linux-x64_bin.tar.gzsudo mv jdk-21/ /opt/jdk-21/

3. 设置环境变量

echo 'export JAVA_HOME=/opt/jdk-21' | sudo tee /etc/profile.d/java21.sh
echo 'export PATH=$JAVA_HOME/bin:$PATH'|sudo tee -a /etc/profile.d/java21.sh
source /etc/profile.d/java21.sh

4. 验证安装

java --version

安装spark

1. 安装组件

sudo apt update
sudo apt install default-jdk scala git -y
java -version; javac -version; scala -version; git --versionCopied!

2. 下载spark

mkdir /home/yourname/spark
cd spark/
wget https://dlcdn.apache.org/spark/spark-3.5.6/spark-3.5.6-bin-hadoop3.tgz

3. 验证下载的包

cd /home/yourname/spark
wget https://dlcdn.apache.org/spark/spark-3.5.6/spark-3.5.6-bin-hadoop3.tgz.sha512shasum -a 512 -c spark-3.5.6-bin-hadoop3.tgz.sha512

4. 解压

tar -xvf spark-3.5.6-bin-hadoop3.tgz

5. 解压后即可，验证安装

/home/yourname/spark/spark-3.5.6-bin-hadoop3/bin/spark-shell --version

6. 设置环境变量

vim ~/.profileexport SPARK_HOME=/home/yourname/spark/spark-3.5.6-bin-hadoop3/
export PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbinsource ~/.profile

7. 配置远程连接

 cp spark-defaults.conf.template spark-defaults.conf添加以下内容
spark.ui.host 0.0.0.0spark.ui.port 8080

8. 设置spark env

 cp spark-env.sh.template spark-env.sh添加以下内容
export JAVA_HOME=/opt/jdk-21/
SPARK_MASTER_HOST=192.168.220.132
SPARK_MASTER_PORT=7077

9. Start Standalone Spark Master Server

$SPARK_HOME/sbin/start-master.sh访问本机8080端口即可访问

10. 启动一个worker

$SPARK_HOME/sbin/start-worker.sh spark://192.168.220.132:7077

11. Basic Commands to Start and Stop Master Server and Workers
    The following table lists the basic commands for starting and stopping the Apache Spark (driver) master server and workers in a single-machine setup.

Command	Description
start-master.sh	Start the driver (master) server instance on the current machine.
stop-master.sh	Stop the driver (master) server instance on the current machine.
start-worker.sh spark://master_server:port	Start a worker process and connect it to the master server (use the master’s IP or hostname).
stop-worker.sh	Stop a running worker process.
start-all.sh	Start both the driver (master) and worker instances.
stop-all.sh	Stop all the driver (master) and worker instances.

Pyspark 读csv

1. 安装与spark相同版本的pyspark

pip install pyspark==3.5.6
如果你之前安装了别的版本，在你卸载后，最好将package路径下的pyspark文件夹也删除

2. 本地调试

from pyspark.sql import SparkSession
import os
os.environ["JAVA_HOME"] = r"D:\java21opensdk\jdk-21.0.1"spark = SparkSession.builder \.appName("test") \.getOrCreate()# .master("spark://192.168.220.132:7077") \# .getOrCreate()path = r"C:\Users\test\Desktop\test.csv"df = spark.read.csv(path,header=True, inferSchema=True)
rows = df.collect()for row in rows:print(row.asDict())

3. 使用worker运行

from pyspark.sql import SparkSession
import os
os.environ["JAVA_HOME"] = r"D:\java21opensdk\jdk-21.0.1"spark = SparkSession.builder \.appName("test") \.master("spark://192.168.220.132:7077") \.getOrCreate()
# 注意这个csv文件需要传递到spark服务器上
path = "file:///opt/data/test.csv"df = spark.read.csv(path,header=True, inferSchema=True)
rows = df.collect()for row in rows:print(row.asDict())

参考