Bookshelf VS TypeORM

Bookshelf.js is an uncomplicated and lightweight ORM designed for Node.js, constructed atop the Knex.js query builder. Its primary aim is to support SQL databases, such as PostgreSQL, MySQL, and SQLite. Bookshelf.js focuses on simplicity and user-friendliness, offering a direct method for defining models and relationships through JavaScript classes and prototypal inheritance.

If you're set on JS (using only one language on a team/project can be very nice) common choices for backend often involve using Express or hapi with some ORM (like Prisma or Bookshelf).

Strapi uses Bookshelf.js library to send database queries in an ORM fashion. Bookshelf itself is powered by Knex.js, which is a SQL query builder. Knex.js supports popular SQL-based database engines like PostgreSQL, SQLite, MySQL, and MariaDB, which are also supported by Strapi. Knex.js also supports database transactions, which then makes Bookshelf also provides support for it. With a basic understanding of both libraries, we can add Database transaction support to Strapi queries.

I made the transition from LAMP to Node-based stacks 6 or 7 years ago and started out using BookshelfJS. Node is a different world though, one that lends itself to distributed services and server-less infrastructure, and it's changed how I interact with DBs.

First, we need to get all recordsets randomly sorted. To achieve this, we will need to build a query. Strapi is using Bookshelf as an ORM. So we can start by getting our Partnership model, so we can run a query on it. Inside the query, we get a knex (this is the query builder that Bookshelf uses under the hood) query builder instance. On this query builder instance, we can there ask to order recordsets randomly. Let's try this:

A few of the most important characteristics of the solution we wanted was that any documentation-related work had to be easy for developers, and it would ideally be located in proximity to the actual implementing code. Anvil's web application is written in Node, and we chose Apollo as our GraphQL framework and use a modified version of Bookshelf as our ORM.

FYI Currently I use Knex with Bookshelf. Bookshelf is an ORM written by Knex author before TypeORM, Objection... existed. It's not maintained anymore but it works fine and is much better than Sequelize when I've tried.

If you use Sequalize, TypeORM or for MongoDB, we have Mongoose these types of ORM tools, then you are safe by default because these help us against the SQL query injection attacks by default.

We decided to use MySQL for a database. and TypeOrm for ORM. The ER diagram is provided below. For example, the task_assignments table holds information about user assignments to tasks. While in DDD, there is a pattern to design denormalized tables that reflect the structure of domain objects more directly, but this time, a more conventional table design was chosen. TypeOrm models:

How does this compare to using directly an ORM lib that supports browser like TypeORM [0] via SQL.js [1]?

[0] https://typeorm.io/

* Patch a third-party library that was setting an HTTP header to `null`. NodeJS handles this case just fine, but Deno throws an error [2].

After all of that work, I finally was able to use Deno in my project. It was really cool! Unfortunately, both VS Code and IntelliJ with Deno are essentially unusable [3]. Or, at least, unacceptably slow compared to what I had with NodeJS.

[0]: https://stackoverflow.com/a/66073607

[1]: https://github.com/typeorm/typeorm/issues/6123#issuecomment-...

[2]: https://github.com/Sansossio/twisted/issues/97

[3]: https://github.com/denoland/vscode_deno/issues/895

TypeORM is a very convenient ORM for JS apps. We use it with NestJS and running it on NodeJS.

We are going to start using TypeORM as an ORM to help us interact with Postgres, but we also have an example of using Prisma in the future and everything that we have to adapt to switch the ORMs if necessary. At the end we are implementing neon.tech as a production database, right? 😉

TypeORM is a popular Object-Relational Mapping (ORM) library for Node.js. It provides a high-level abstraction over relational databases, making it easy to perform CRUD (Create, Read, Update, Delete) operations.

TypeORM places its focus on TypeScript and JavaScript (ES7+) development. It offers compatibility with various database systems, including MySQL, PostgreSQL, SQLite, and MongoDB. What sets TypeORM apart is its robust integration with TypeScript. It provides a user-friendly experience with a convenient decorator-based syntax for defining entities and relationships. Additionally, TypeORM supports the repository pattern and enables eager loading, enhancing its versatility for developers.

ᴬ typeorm officially supports mssql@v9, but the support for the custom stream builder was added in mssql@v10. Since mssql is a peer dependency of typeorm, you can force override it and use the Cloud SQL Connector with typeorm. There is an open PR to add support for mssql@v10 in typeorm.