https://github.com/sriramalavalapati3/movie-ticket-reservation-system

This is a Booking Service which allows you to choose seats and book
https://github.com/sriramalavalapati3/movie-ticket-reservation-system

docker docker-compose expressjs mysql-database nodejs nodemon sql

Last synced: 11 days ago
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This is a Booking Service which allows you to choose seats and book

• Host: GitHub
• URL: https://github.com/sriramalavalapati3/movie-ticket-reservation-system
• Owner: sriramalavalapati3
• Created: 2023-06-16T16:28:57.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-14T11:20:12.000Z (over 1 year ago)
• Last Synced: 2023-09-15T02:53:43.267Z (over 1 year ago)
• Topics: docker, docker-compose, expressjs, mysql-database, nodejs, nodemon, sql
• Language: JavaScript
• Homepage:
• Size: 91.8 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Movie-ticket-reservation-system

This is a Booking Service which allows you to choose seats and book

# These are routes created , documented using postman

[Routes](https://documenter.getpostman.com/view/24325307/2s93z5A5Sv) go through the link for api Points

# Tech Stack used 

``MySql , Express.js , Nodejs , Sequilze , Sequilize-cli ``

# Database Schema  

``

``

# Steps to set up this application in your Docker 

`note: please,Follow the steps exactly ` 

1.  Clone the Repositorty using this command

 

 `git pull (github url)`

2. Update the MySQL credentials in `config/config.json` (in development only).

3 .start local Mysql Server ,Create a database using this command 

 `CREATE DATABASE bookingservice`

 Open the file in the  terminal

4. Use the below command in terminal: 

`docker-compose up --build`

5. It will create a Docker image and run it automatically.

6. If you stop the application and want to use it again, you can use this command:

`docker run -p 3000:3000 `

7. Export .csv data to Mysql databases 

8. Your Set to go  

# challenges faced 

--> New to Docker 

--> facing chanllenges while connecting local Mysql server with Docker 

--> Exporting csv file into Mysql and creating Schema for the Tables. 

# What i have learned 

1.Usage of Docker 

2.More Clarity on Creating Mysql data base