項(xiàng)目概況
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點(diǎn)這里,查看所有項(xiàng)目
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數(shù)據(jù)類型
超市商品銷售數(shù)據(jù)
開發(fā)環(huán)境
centos7
軟件版本
python3.8.18、hadoop3.2.0、spark3.1.2、mysql5.7.38、scala2.12.18、jdk8
開發(fā)語(yǔ)言
python、Scala
開發(fā)流程
數(shù)據(jù)上傳(hdfs)->數(shù)據(jù)清洗(spark)->數(shù)據(jù)分析(spark)->數(shù)據(jù)存儲(chǔ)(mysql)->后端(flask)->前端(html+js+css)
可視化圖表
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2025-05-13_230822.png
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2025-05-13_230836.png
2025-05-13_230843.png
2025-05-13_230849.png
2025-05-13_230855.png
2025-05-13_230901.png
2025-05-13_230908.png
2025-05-13_230915.png
操作步驟
python安裝包
pip3 install pandas==2.0.3 -i https://mirrors.aliyun.com/pypi/simple/
pip3 install flask==3.0.0 -i https://mirrors.aliyun.com/pypi/simple/
pip3 install flask-cors==4.0.1 -i https://mirrors.aliyun.com/pypi/simple/
pip3 install pymysql==1.1.0 -i https://mirrors.aliyun.com/pypi/simple/
啟動(dòng)MySQL
# 查看mysql是否啟動(dòng) 啟動(dòng)命令: systemctl start mysqld.service
systemctl status mysqld.service
# 進(jìn)入mysql終端
# MySQL的用戶名:root 密碼:123456
# MySQL的用戶名:root 密碼:123456
# MySQL的用戶名:root 密碼:123456
mysql -uroot -p123456
啟動(dòng)Hadoop
# 離開安全模式: hdfs dfsadmin -safemode leave
# 啟動(dòng)hadoop
bash /export/software/hadoop-3.2.0/sbin/start-hadoop.sh
準(zhǔn)備目錄
mkdir -p /data/jobs/project/
cd /data/jobs/project/
# 上傳 "project-spark-market-data-analysis" 整個(gè)文件夾
上傳文件到hdfs
cd /data/jobs/project/project-spark-market-data-analysis/
hdfs dfs -mkdir -p /data/input/
hdfs dfs -rm -r /data/input/*
hdfs dfs -put -f data/market_sale_order.csv /data/input/
hdfs dfs -put -f data/market_sale_persons.csv /data/input/
hdfs dfs -put -f data/market_sale_return.csv /data/input/
hdfs dfs -ls /data/input/
程序打包
cd /data/jobs/project/project-spark-market-data-analysis/
mvn clean package -Dmaven.test.skip=true
cp target/project-spark-market-data-analysis-jar-with-dependencies.jar /data/jobs/project/
創(chuàng)建MySQL表
cd /data/jobs/project/project-spark-market-data-analysis/
# 請(qǐng)確認(rèn)mysql服務(wù)已經(jīng)啟動(dòng)了
# 快速執(zhí)行.sql文件內(nèi)的sql語(yǔ)句
mysql -u root -p < mysql/mysql.sql
spark數(shù)據(jù)清洗
cd /data/jobs/project/
spark-submit \
--master local[*] \
--class org.example.demo.SparkClean \
/data/jobs/project/project-spark-market-data-analysis-jar-with-dependencies.jar /data/input/market_sale_order.csv /data/input/market_sale_return.csv /data/input/market_sale_persons.csv /data/output/
spark數(shù)據(jù)分析
cd /data/jobs/project/
spark-submit \
--master local[*] \
--class org.example.demo.SparkAnalysis \
/data/jobs/project/project-spark-market-data-analysis-jar-with-dependencies.jar /data/output/
啟動(dòng)可視化
yes | cp -r /data/jobs/project/project-spark-market-data-analysis/可視化 /data/jobs/project/myapp
cd /data/jobs/project/myapp/
# windows本地運(yùn)行: python3 app.py
python3 app.py pro
