What are the best practices for seeding data in TypeORM for production?

What are the best practices for seeding data in TypeORM for production?

When seeding data in TypeORM for production, consider the following best practices: 1. Use migrations to manage schema changes. 2. Seed data in a way that is idempotent, meaning running the seed multiple times won't create duplicates. 3. Use environment variables to manage different configurations for development and production. 4. Ensure that sensitive data is not included in your seed files.

Can you explain what idempotent means in this context?

Idempotent means that performing the same operation multiple times will not change the result beyond the initial application. In the context of seeding, it ensures that if you run your seed script multiple times, it won't create duplicate entries or cause errors.

What tools can I use to manage migrations and seeding?

You can use TypeORM's built-in migration and seeding features. Additionally, tools like typeorm-seeding can help streamline the seeding process. For more complex scenarios, consider using a task runner like npm scripts or Gulp.

Are there any common pitfalls to avoid when seeding?

Yes, some common pitfalls include: 1. Forgetting to clean up old data before seeding. 2. Hardcoding values that may change between environments. 3. Not testing your seed scripts thoroughly before running them in production.