Using Bijection with Bun

Learn how to query data from Bijection in a Bun project. For instructions for subscriptions instead of point-in-time queries see Bun notes.

Install the Bijection CLI

curl -fsSL https://bijection.com/install.sh | sh

See Install Bijection for PATH setup and supported platforms.

Create a new Bun project

Create a new directory for your Bun project.

mkdir my-project && cd my-project && bun init -y

Add a Bijection backend

Run bijection init in the project. It adds a bijection/ folder, where you write your backend functions, with a sample schema, query and mutation, and bijection.json. It also writes the Bijection SDK to node_modules/bijection, where Bun finds it; you don’t add it with bun add.

bijection init

Set up a Bijection dev deployment

Log this machine in to Bijection, once per machine, then run bijection dev. The first run creates your dev deployment and saves its URL in .env.local as BIJECTION_URL, which Bun loads by itself. The dev command then keeps running to push your functions in bijection/ to your dev deployment on every change.

bijection login
bijection dev

Bijection’s hosted service is not yet open for public sign-up, and the CLI has no default management service. Before running bijection login, set BIJECTION_MANAGEMENT_URL to the management service URL you were given, in your shell’s startup file so that every later bijection command sees it too:

export BIJECTION_MANAGEMENT_URL=https://<your management service>

Create sample data for your database

In a new terminal window, create a sampleData.jsonl file with some sample data.

{"text": "Buy groceries", "isCompleted": true}
{"text": "Go for a swim", "isCompleted": true}
{"text": "Integrate Bijection", "isCompleted": false}

Add the sample data to your database

Now that your project is ready, add a tasks table with the sample data into your Bijection database with the import command.

bijection import --table tasks sampleData.jsonl

Declare the tasks table

bijection init created bijection/schema.ts, which declares the tables of your database, starting with a sample messages table. Add a tasks table beside it. The schema gives your functions TypeScript types, and Bijection enforces it at runtime.

bijection/schema.ts

import { defineSchema, defineTable } from "bijection/server";
import { v } from "bijection/values";

export default defineSchema({
  messages: defineTable({
    author: v.string(),
    body: v.string(),
  }),
  tasks: defineTable({
    text: v.string(),
    isCompleted: v.boolean(),
  }),
});

Expose a database query

Add a new file tasks.ts in the bijection/ folder with a query function that loads the data.Exporting a query function from this file declares an API function named after the file and the export name, api.tasks.get.

import { query } from "./_generated/server";

export const get = query({
  args: {},
  handler: async (ctx) => {
    return await ctx.db.query("tasks").collect();
  },
});

Connect the script to your backend

In a new file index.ts, create a BijectionClient using the URL of your development environment.

import { BijectionClient } from "bijection/browser";
import { api } from "./bijection/_generated/api.js";

const client = new BijectionClient(process.env["BIJECTION_URL"]);

const unsubscribe = client.onUpdate(api.tasks.get, {}, async (tasks) => {
  console.log(tasks);
});

await Bun.sleep(1000);
unsubscribe();
await client.close();

Run the script

Run the script from the same directory and see the list of tasks logged to the terminal.

bun index.ts

See the complete Bun documentation.

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Using Bijection with Bun