基于spark的智能零售分析系统
舟率率 5/7/2026 springbootjavavue
# 项目概况
# 数据类型
商品销售数据(模拟数据)
# 开发环境
centos7
# 软件版本
hadoop3.2.0、spark3.1.2、mysql5.7.38、jdk8
# 开发语言
Java
# 开发流程
数据上传(hdfs)->数据分析(spark)->数据存储(mysql)->后端(springboot)->前端(vue)
# 可视化图表
# 操作步骤
# 启动MySQL
# 查看mysql是否启动 启动命令: systemctl start mysqld.service
systemctl status mysqld.service
# 进入mysql终端
# MySQL的用户名:root 密码:123456
# MySQL的用户名:root 密码:123456
# MySQL的用户名:root 密码:123456
mysql -uroot -p123456
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# 启动Hadoop
# 离开安全模式: hdfs dfsadmin -safemode leave
# 启动hadoop
bash /export/software/hadoop-3.2.0/sbin/start-hadoop.sh
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# 准备目录
mkdir -p /data/jobs/project/
cd /data/jobs/project/
# 解压 "project-spark-smart-retail-analysis-system" 目录下的 "spark-smart-retail-analytics.7z" 到当前目录下
# 上传 "project-spark-smart-retail-analysis-system" 整个文件夹 到 "/data/jobs/project/" 目录
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# 数据导入MySQL
cd /data/jobs/project/project-spark-smart-retail-analysis-system/
# 创建数据库
mysql -uroot -p123456 -e 'CREATE DATABASE IF NOT EXISTS retail_analytics CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;'
# 导入数据到MySQL
mysql -uroot -p123456 retail_analytics < spark-smart-retail-analytics.sql
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# 程序打包
cd /data/jobs/project/project-spark-smart-retail-analysis-system/retail-analytics-spark-job/
# 对 "retail-analytics-spark-job" 目录下的项目 "retail-analytics-spark-job" 进行打包
# 打包命令
mvn clean package -DskipTests
cd /data/jobs/project/project-spark-smart-retail-analysis-system/retail-analytics-spring-boot/
# 对 "retail-analytics-spring-boot" 目录下的项目 "retail-analytics-spring-boot" 进行打包
# 打包命令
mvn clean package -DskipTests
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# spark数据分析
cd /data/jobs/project/project-spark-smart-retail-analysis-system/retail-analytics-spark-job/
spark-submit \
--master local[*] \
--class com.retail.RetailAnalyticsSparkJobApp \
target/retail-analytics-spark-job.jar
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# 启动后端
cd /data/jobs/project/project-spark-smart-retail-analysis-system/retail-analytics-spring-boot/
java -jar target/retail-analytics-spring-boot-1.0.0.jar
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# 启动前端
cd /data/jobs/project/project-spark-smart-retail-analysis-system/fronted-admin/
# 安装node
npm install --registry=https://registry.npmmirror.com
chmod -R 755 node_modules/.bin
npm run dev
# http://localhost:8080
# 登录用户: admin
# 登录密码: 12345678
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