This is a simple website that handles sorting a list of Posts title.
It utilises the LexoRank, a lexical (alphanumerical) ranking system for sorting by drag and drop.
It also renders 500 post title items using react-window to reduce render loads.
demo.mp4
Traditional numerical ranking system are limited by insufficient space allocations. The challenge in drag and drop is the probability of reaching these limits are high.
A lexical ranking system solves this issue by having an abundant of space allocations where in production should be accomodated with rebalancing to prevent performance drawbacks.
- Node v20 is required.
- Docker and Makefile is also being used.
Run the following when setting up the project for the first time:
make init
- This will create a mongoDB container using docker
make db-init
. - Install server npm packages
cd server && npm install
. - Seed database with posts title in Posts collection.
make db-seed
.
Start server in development mode:
make server
Install dependencies in client:
cd client && npm run install
Start client in development mode:
- This will also automatically generate the query typings for graphql
make client-generate
.
make client
- Node.js v20
- MongoDB v6
- Express v4
- Mongoose v8
- React v18
- Vite v5
- Graphql v18
- LexoRank v1
- Material UI v5
- React-Window
- @hello-pangea/dnd