Dalam siaran sebelumnya, kami menyebut tentang tutorial Docker masuk.
Kali ini, kami mula menjalankan projek sampel: Memfokuskan pada fail Docker Compose dengan imej Nodejs, Flask, PostgreSQL untuk melaksanakan peringkat yang berbeza:
Ia menunjukkan:
Repo Kod GitHub: https://github.com/omerbsezer/Fast-Docker/tree/main/hands-on-sample-projects/full-stack-app
Struktur projek:
project-root/ ├── docker-compose.yaml ├── frontend/ │ ├── package.json │ ├── index.js │ ├── index.html │ ├── Dockerfile ├── backend/ │ ├── app.py │ ├── requirements.txt │ ├── Dockerfile
FROM node:18 WORKDIR /home/app COPY . . EXPOSE 3000 RUN npm install CMD ["npm", "start"]
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Frontend</title> </head> <body> <h1>Frontend is working!</h1> </body> </html>
const express = require("express"); const app = express(); const port=3000; app.get("/", (req, res) => { res.sendFile(__dirname + "/index.html"); }) app.listen(port, () => { console.log(`running at port ${port}`); });
{ "name": "nodejsapp", "version": "1.0.0", "description": "nodejsapp description", "main": "index.js", "scripts": { "test": "echo \"Error: no test specified\" && exit 1", "start": "node index.js" }, "author": "", "license": "ISC", "dependencies": { "express": "^4.17.3" } }
FROM python:3.11 WORKDIR /usr/src/app COPY . . RUN pip install -r requirements.txt EXPOSE 5000 CMD ["python", "app.py"]
from flask import Flask, jsonify app = Flask(__name__) @app.route('/') def home(): return "Backend is working!" @app.route('/api', methods=['GET']) def api(): return jsonify({"message": "Hello from the backend!"}) if __name__ == '__main__': app.run(host='0.0.0.0', port=5000)
flask
services: frontend: build: context: ./frontend container_name: frontend ports: - "3000:3000" volumes: - ./frontend:/usr/src/app depends_on: - backend backend: build: context: ./backend container_name: backend ports: - "5000:5000" volumes: - ./backend:/usr/src/app command: sh -c "pip install -r requirements.txt && python app.py" db: image: postgres:15 container_name: db environment: POSTGRES_USER: user POSTGRES_PASSWORD: password POSTGRES_DB: mydatabase volumes: - db_data:/var/lib/postgresql/data ports: - "5432:5432" volumes: db_data:
user@docker:~$ docker compose up -d [+] Running 4/4 ✔ Network node_default Created 0.1s ✔ Container db Started 0.7s ✔ Container backend Started 0.7s ✔ Container frontend Started
user@docker:~$ curl http://localhost:3000 <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Frontend</title> </head> <body> <h1>Frontend is working!</h1> </body> user@docker:~$ curl http://localhost:5000/api {"message":"Hello from the backend!"} user@docker:~$ curl http://localhost:5000 Backend is working! </html>
user@docker:~$ docker ps -a CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 3e51751b546c node-frontend "docker-entrypoint.s…" About a minute ago Up About a minute 0.0.0.0:3000->3000/tcp, :::3000->3000/tcp frontend d8d28325ce10 postgres:15 "docker-entrypoint.s…" About a minute ago Up About a minute 0.0.0.0:5432->5432/tcp, :::5432->5432/tcp db 04c1d04a5668 node-backend "sh -c 'pip install …" About a minute ago Up About a minute 0.0.0.0:5000->5000/tcp, :::5000->5000/tcp backend user@docker:~$ docker compose down [+] Running 4/4 ✔ Container frontend Removed 1.0s ✔ Container db Removed 0.5s ✔ Container backend Removed 10.5s ✔ Network node_default Removed 0.2s user@docker:~$ docker ps -a CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
Siaran ini menunjukkan cara membuat fail karang Docker menggunakan apl contoh frontend (express.js), backend (flask), pangkalan data (postgresql). Sila lihat di bawah menu untuk kandungan Docker yang lain, jika anda belum pernah melihatnya.
Ikuti Petua, Tutorial, Makmal Hands-On untuk AWS, Kubernetes, Docker, Linux, DevOps, Ansible, Pembelajaran Mesin, Generatif AI, SAAS.
Atas ialah kandungan terperinci Docker Hands-on: Belajar Docker Compose Fail dengan Nodejs, Flask, PostgreSQL. Untuk maklumat lanjut, sila ikut artikel berkaitan lain di laman web China PHP!