基于spark的抖音数据分析及推荐可视化系统-毕设
舟率率 7/22/2025 pythonscaladjango
# 项目概况
# 数据类型
抖音数据
# 开发环境
centos7
# 软件版本
python3.8.18、hadoop3.2.0、spark3.1.2、hive3.1.2、mysql8.0.41、jdk8
# 开发语言
python
# 开发流程
数据上传(hdfs)->数据处理(spark)->处理结果(hive)->数据分析(spark)->数据存储(mysql)->后端(django)->前端(html+js+css)
# 可视化图表
# 操作步骤
# python安装包
pip3 install django==4.2.11 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install djangorestframework==3.14.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install django-simpleui==2025.1.13 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install DBUtils==1.3 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install mysqlclient==2.2.7 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install pyhive==0.7.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install thrift==0.21.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install scikit-learn==1.3.2 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install thrift-sasl==0.4.3 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# 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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# 启动hive
# 在第一个窗口中,执行后等待10-20秒
/export/software/apache-hive-3.1.2-bin/bin/hive --service metastore
# 在第二个窗口中,执行后等待10-20秒
/export/software/apache-hive-3.1.2-bin/bin/hive --service hiveserver2
# 连接进入hive终端命令如下:
# /export/software/apache-hive-3.1.2-bin/bin/beeline -u jdbc:hive2://master:10000 -n root
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# 准备目录
mkdir -p /data/jobs/project/
cd /data/jobs/project/
# 上传 "project-spark-douyin-analysis-recommend-system" 整个文件夹 到 "/data/jobs/project/" 目录
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# 创建MySQL表
cd /data/jobs/project/project-spark-douyin-analysis-recommend-system/
# 请确认mysql服务已经启动了
# 快速执行.sql文件内的sql语句
mysql -u root -p < dyinfo.sql
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# 执行sparkFir.py
cd /data/jobs/project/project-spark-douyin-analysis-recommend-system/
spark-submit \
--master local[*] \
--jars /export/software/spark-3.1.2-bin-hadoop3.2/jars/mysql-connector-j-8.0.33.jar \
--driver-class-path /export/software/spark-3.1.2-bin-hadoop3.2/jars/mysql-connector-j-8.0.33.jar \
spark/sparkFir.py
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# 执行sparkAna.py
cd /data/jobs/project/project-spark-douyin-analysis-recommend-system/
spark-submit \
--master local[*] \
--jars /export/software/spark-3.1.2-bin-hadoop3.2/jars/mysql-connector-j-8.0.33.jar \
--driver-class-path /export/software/spark-3.1.2-bin-hadoop3.2/jars/mysql-connector-j-8.0.33.jar \
spark/sparkAna.py
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# 启动可视化
cd /data/jobs/project/project-spark-douyin-analysis-recommend-system/
python3 manage.py runserver master:5173
# 用户名: admins
# 密码: admins
# 后台用户名: admins
# 后台密码: admins
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# 注意
点赞热度预测测试数据：
视频时间：100 收藏数量：1000 评论数量：3000
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