GraphQL : Evolution of Modern Age Database Management System

The word GraphQL keeps popping up a lot around the web. It has been mentioned in many technical events as well, the most recent being the AWS re:Invent 2017, where they announced AppSync, a fully managed GraphQL service.

Why is GraphQL suddenly making ripples in the developer community and how does it’s rise impact the tech world?

While the name can mislead you to believe it to be a query language it is a replacement for REST (and its alternate versions). I have compiled the key takeaways for anyone who is wanting to understand GraphQL.

To help you better understand and highlight the differences I have included illustrated examples using REST and HTTP.

What is GraphQL?

GraphQL was developed by Facebook internally in 2012 and was later released to the public in October 2015. In facebook terminology: GraphQL is a query language designed to build client applications by providing an intuitive, flexible syntax and system for describing their data requirements and interactions. It provides a language to query data from backends and change data on them.

In a nutshell, GraphQL is a query language created by Facebook, that specifies how to ask data from APIs.

The basics of GraphQL

GraphQLhas 3 high-level operations:

• Queries - Used to fetch data, like GET method in REST
• Mutations - Used to create/modify data followed by fetch, like POST, PUT, DELETE methods in REST
• Subscriptions - Long Lived connections to receive updates on data from the server, like web sockets

These operations are exposed via a schema that defines the capabilities of an API. A schema is composed of types. The schema defined by the developer determines the capability of the GraphQL API.

Every GraphQL API can have two types:

• Root types, e.g. query, mutation, subscription
• User-defined types, e.g. todo, human, animal, etc.

Every GraphQL API will have a query type and may or may not have a mutation and subscription type. The root types determine the entry point of the GraphQL query.

Example query:

{

human(id: 101) {

name

age

}

}

The above query does the following:

1. Starts with the root object
2. We select the human with id 101 field on that
3. For a hero object returned, we select the name and age fields

The result of the query will be:

{

"data": {

"human": {

"name": "John Doe",

“age”: 20

}

}

}

For the above query to work we must add a human type to the schema which consists of the fields that it can return. The type of root query and human is as follows:

type Human {
name: String!
age: Int!
}

type Query {
human(id: ID!): Human
}

The fields of a type need to return some data. This happens in a GraphQL. API is through a concept known as a GraphQL resolver. This is a function that either calls out to a data source or invokes a trigger to return some value (such as an individual record or a list of records).

Resolvers can have many types of data sources, such as NoSQL databases, relational databases, or REST APIs. We can aggregate data from multiple data sources and return identical types, mixing and matching to meet your needs.

After a schema is connected to a resolver function, a client app can issue a GraphQL query or, optionally, a mutation or subscription. I am sure you have started to see how GraphQL, is different from its predecessors and other commonly used databases.

However, does it have actual benefits? Let’s take a look.

Benefits of GraphQL

• Better data retrieval

Querying data is very simple and round trips to the servers are reduced. Consider a blog that has content, comments etc. Every comment can have description and users, every user will have name, email, list of blogs.

Imagine I need the blog contents with the comment, the user who commented and that user’s blogs. To achieve it we will have to make the following REST calls

1.  GET - api/vi/blogs/101/ -> will return the blog with its contents
2.  GET - api/v1/blogs/101/comments -> will return the comments of the blog
3.  GET - api/v1/users/30/blogs -> will return the blogs of the user

Say we had 4 comments hence N = 4 so the number of calls needed to be made are Step 1 + Step 2 + Step 3 x 4 which evaluates to 6 calls. We require the blogs of all the users who commented on the blog so step 3 will have to be performed multiple N times depending upon the number of users.

Now the exact same thing can be archived in 1 call when using GraphQL using the below query

{

blog(id: 101) {

content

comments {

content

users {

name

email

blog {

content

}

}

}

}

}

Did you notice how we can replace several lines of code with just one simple logic?

• Better versioning

In a REST API if there is a new field or some change in the resource a new version of the endpoint must be created. This incurs managing more code, another endpoint and removing the old endpoint once deprecated.

GraphQL solves this problem by allowing the user to keep the same endpoint while adding new fields to the type dynamically without breaking any existing stuff

• Better control of the response data

Consider we have an API that is consumed by a responsive web application. Depending upon the device where the app has opened the data displayed on the screen will vary, some fields may be hidden on smaller screen devices and all the fields may be shown on devices with a larger screen.

The following infographic explains various pain points, pertaining to manage data returned  when using REST:

With GraphQL it’s just a matter of querying the fields that are required depending upon the device. The front end is in control of the data it requests, and the same principles can be utilized for any GraphQL API

• Aggregate data

With GraphQL we can easily aggregate data from different sources and serve it up to the users under a single umbrella rather than making multiple REST calls from the front end or back end. We can expose a legacy system through a unified API.

As mentioned above every GraphQL API is composed of types, schema and resolvers. In order create an API we require to create a GraphQL server in some language. As you know by now GraphQL is a language in its own and has a specification, the specification must be implemented in a programming language to be utilized.

Almost all modern programming languages now have an implementation of the GraphQL specification that you can utilize. Hence making integration and migration extremely smooth and easy.

Important Resources:

As a programmer, I am sure you are eager to try out GraphQL. I have compiled some useful tools and libraries that you can utilize to make your journey with GraphQL more fun.

graphql - A implementation of the GraphQL in JS

Apollo - A toolkit for GraphQL. It has implementations of server for multiple platforms

Prisma - A tool to turn your database into a GraphQL API. It supports multiple databases

Scaphold - A hosted GraphQL backend

AWS AppSync - A hosted GraphQL server that is fully managed AWS and connects to multiple data sources

Conclusion:

GraphQL is very powerful and has a lot of potentials, but it is still in its infancy. However, in a short period of time, it has gained a lot of traction and has been widely adopted by the community.

The popularity clearly goes on to show the ease of use and the importance of GraphQL. The benefits that I have discussed here are just some of the ones that I have experienced while using it first-hand.

As the system evolves I am sure a lot more would be unsurfaced - there is a huge ecosystem where GraphQL can be utilized.

At Cuelogic Technologies we make use of cutting edge and modern age technology to deliver products and intelligence that is future proof, self-learning and with 0 technical debt. We are one of the top outsource software development companies. GraphQL is one of the very many futuristic technologies we are working with.
www.cuelogic.com

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