seeding

introduction

seeding allows you to populate your newly migrated database tables with initial or dummy data, completing the setup process for new environments instantly. dframework provides a simple mechanism for defining and executing these seeding operations.

writing seeders

seeder files live in the seeders directory and are responsible for populating tables with data. similar to migrations, a seeder file must export an asynchronous run function. the framework injects a context object containing the fluent table query builder, giving you direct access to insert operations.

these context properties are also available globally during execution.

1export async function run({ table }) {
2  await table('users').insert([
3    {
4      name: 'admin',
5      email: 'admin@example.com',
6      password: 'password' // automatically hashed
7    }
8  ]);
9}

automatic safety checks

the seeder runner is designed for safety in production environments.