fastify-slonik

Fastify Slonik Plugin

Usage no npm install needed!

<script type="module">
  import fastifySlonik from 'https://cdn.skypack.dev/fastify-slonik';
</script>

README

Fastify Slonik

A Fastify plugin that uses the PostgreSQL client, Slonik. Slonik abstracts repeating code patterns, protects against unsafe connection handling and value interpolation, and provides a rich debugging experience.

NPM downloads npm node-current

Usage

Yarn

yarn add fastify-slonik

NPM

npm i fastify-slonik

Example:

Import the Plugin

Both default export and named export option is available.

// index.js
const { fastifySlonik } = require("fastify-slonik");

// Or
const fastifySlonik = require("fastify-slonik");

or

import { fastifySlonik } from "fastify-slonik";

// or 

import fastifySlonik from "fastify-slonik";

Register the Plugin

// register fastify-slonik
try {
  await app.register(fastifySlonik, {
    connectionString: process.env.DATABASE_URL,
  });
} catch (err) {
  console.log("🔴 Failed to connect, check your Connection string");
  throw new Error(err);
}

Using the plugin through decorators

FastifyInstance (this) and FastifyRequest (request) have been decorated with slonik and sql. Use it the way you want.

// setup test route
// The decorated Fastify server is bound to this in route route handlers:
fastify.get('/users', async function (this, request, reply) {
  const { sql, slonik } = this;
  const queryText = sql`SELECT * FROM users WHERE user_id = 1`
  const user = await slonik.query(queryText)

  reply.send(user)
}

Another way to access the Slonik and SQL decorator is through the request object-

fastify.get('/users', async function (request, reply) {
  const { sql, slonik } = request
  const queryText = sql`SELECT * FROM users WHERE user_id = 1`
 
  const user = await slonik.query(queryText)
  reply.send(user)
}

Docs for This

View Slonik API for details.

Development and Testing

Tap is used for testing. Use pnpm test command to run tests.

Docker approach

$ docker-compose up

To run the tests:

  • Create .env cp .env.example .env
$ yarn test

Custom Postgres approach

  1. Set up a database of your choice in a postgres server of your choice
  2. Create the required table using
    CREATE TABLE users(id serial PRIMARY KEY, username VARCHAR (50) NOT NULL);
    
  3. Create .env cp .env.example .env and update environment variables accordingly

License

Licensed under MIT.