Bookshelf VS artwork

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.

They developed a solution, and open sourced it as GraphQL.

I'm using the Official GraphQL, HowToGraphQL and several other websites to curate my own notes on GraphQL.

Your cloud architecture, system design and project leadership skills should be more important than language specifics when interviewing. That being said, I recommend learning about Node.js internals (e.g. the event loop); ES6+ language improvements; and some trending tools and libraries like TypeScript, Docker, Serverless Framework and GraphQL. Know enough about Express and serverless functions justify using one over the other when designing a system.

API stands for Application Programming Interface. APIs define how two pieces of software can connect and talk to each other. If your application were a big company, your API's job would be to keep in touch with external parties (customers or company partners, for example). Most APIs are organized around some standard, like REST or GraphQL, so that everybody knows how to use them.

GraphQL is developed by Facebook initially for their mobile app and has been adopted widely across web apps.

Last week, I built a microservice: a resource for a section of the landing page of the platform, which renders from a database loaded with data. In technical terms, I built and consumed an API. I used Dynamo DB (a database provided by Amazon Web Services (AWS))) to store my data, creating a table with desired fields for me to use in populating my table. GraphQL was used as playground for me to query and mutate my database. i.e. a way of creating, reading, updating and deleting information from the database, a process technically known as CRUD.

GraphQL, if you are not familiar, is a way of having APIs which are query-able similar to SQL for a database.

GraphQL.org

More than that, it's a good idea for storing non-sensitive data across the application. It might be a Redux or GraphQL state or some global app-wide variables. On the other hand, you shouldn’t use that for storing tokens and secrets, as the storage is not encrypted in any way.

AWS AppSync is a fully managed GraphQL API which is a serverless offering by AWS.