Example app using Knex....
Knex is a SQL query builder that works with a variety of SQL databases including Postgres and MySQL. This example shows you how to use Knex with Next.js to connect and query a Postgres database. The same code can also connect to all other databases supported by Knex.
Deploy your own
Once you have access to the environment variables you'll need, deploy the example using Vercel:
How to use
Execute create-next-app
with npm, Yarn, or pnpm to bootstrap the example:
npx create-next-app --example with-knex with-knex-app
yarn create next-app --example with-knex with-knex-app
pnpm create next-app --example with-knex with-knex-app
Configuration
Install dependencies
npm install
# or
yarn
Set up a Postgres database
Set up a Postgres database locally or use a DBaaS provider such as AWS or Digital Ocean
Configure environment variables
Copy the .env.local.example
file in this directory to .env.local
(this will be ignored by Git):
cp .env.local.example .env.local
Set the PG_URI
variable in .env.local
to the connection uri of your postgres database.
Apply migrations
You can create, apply and rollback migrations using the scripts in package.json
. For now we will run the example migrations in the knex/migrations
folder, which will add some Todos to the database.
npm run migrate:latest
# or
yarn migrate:latest
Start Next.js in development mode
npm run dev
# or
yarn dev
Your app should now be up and running on http://localhost:3000! If it doesn't work, post on GitHub discussions.
You should now see a list of Todos that were fetched from the database via the API Route defined in /pages/api/todos.js
.
Deploy on Vercel
You can deploy this app to the cloud with Vercel (Documentation).
Deploy Your Local Project
To deploy your local project to Vercel, push it to GitHub/GitLab/Bitbucket and import to Vercel.
Important: When you import your project on Vercel, make sure to click on Environment Variables and set them to match your .env.local
file.
Deploy from Our Template
Alternatively, you can deploy using our template by clicking on the Deploy button below.