Bookshelf VS Mongoose

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.

To manage user auth we need to create a user account - identification. So, let's install mongoose and jsonwebtoken to handle JWT authentication - an alternative to creating a user session when a user logs in

If your application uses MongoDB's Node.js driver or Mongoose ODM, occasionally you may observe errors such as querySrv ECONNREFUSED _mongodb._tcp.cluster0.abcde.mongodb.net or Error: querySrv ETIMEOUT _mongodb._tcp.cluster0.abcde.mongodb.net being thrown. The MongoDB Atlas documentation outlines several methods to troubleshoot connection issues, including how to handle "Connection Refused using SRV Connection String" scenarios, but why does this happen in the first place?

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.

Mongoose

Now that we have created a new MongoDB deployment and saved the connection string in .env file, we would enter the code below to connect to MongoDB database through mongoose. Then, open db.js and enter this code:

Mongoose is a popular JavaScript library used with MongoDB, a NoSQL database. It provides an elegant and user-friendly way to interact with MongoDB from Node.js applications. Mongoose offers several key benefits:

To simplify this process, Cerbos developers have come up with adapters for popular Object-Relational Mapping (ORM) frameworks. You can check out for more details on the query plan repo - which also contains adapters for Prisma and SQLAlchemy - as well as a fully functioning application using Mongoose as its ORM.

After importing the mongoose module, use the [mongoose.connect()](https://mongoosejs.com/docs/api/mongoose.html#mongoose_Mongoose-connect) function to connect to the database. The first argument is the connection string, and the second argument is an object that contains the options, which are used to configure the connection. The above code logs the message, MongoDB connection is established successfully! 🎉, once the connection is successful.

Helmet helps “sanitise” the input, which might not have come from the UI directly. Mongoose is what is known as an Object Document Modelling (ODM), which defines a structure (schema) for the stored data, making it easier to manage in Express. These additions have been omitted from our example stack purely to simplify the tutorial and focus on the fundamental tiers and interfaces.