Why Shopify Favors GraphQL over REST for Its APIs – InApps Technology is an article under the topic Software Development Many of you are most interested in today !! Today, let’s InApps.net learn Why Shopify Favors GraphQL over REST for Its APIs – InApps Technology in today’s post !

Read more about Why Shopify Favors GraphQL over REST for Its APIs – InApps Technology at Wikipedia

You can find content about Why Shopify Favors GraphQL over REST for Its APIs – InApps Technology from the Wikipedia website

GraphQL, a query language for APIs and a server-side runtime for executing those queries, has become one of the most popular ways for web applications to fetch data. It’s increasingly a go-to solution for Single-Page Applications (SPAs), serverless offerings, Jamstack frameworks, and other modern applications. Most importantly, it’s become the technology of choice for building APIs for some internet companies — in many of those cases, usurping the traditional REST method of fetching data.

The “QL” part has led to direct comparisons to SQL (in an excellent introduction to GraphQL for InApps Technology, Fikayo Adepoju wrote that it’s “like SQL, but for the front end”). It’s definitely a query language, so the SQL comparisons are valid. But it’s the comparison to REST that I’ll focus on here. How is GraphQL being used today that would’ve required REST APIs in the recent past? What are the pros and cons, versus REST? Plus later in this column, I’ll look at Shopify’s adoption of GraphQL as an example of how it’s being used in the industry.

GraphQL vs. REST

 

Richard MacManus

Richard is senior editor at InApps Technology and writes a weekly column about web and application development trends. Previously he founded ReadWriteWeb in 2003 and built it into one of the world’s most influential technology news and analysis sites.

 

The fundamental insight that led a team at Facebook to create GraphQL in 2012 and release it publicly in 2015, was that data for modern web applications increasingly require a graph structure for optimization — particularly in mobile apps. The inspiration for GraphQL for Facebook was the transition of its mobile applications away from HTML5 and into native applications on iOS and Android (context: in the early years of the smartphone, Facebook tried to route around app stores and create mobile web apps instead of native apps; it ditched this policy in 2012).

Read More:   Machine Learning and Linear Regression for Mere Mortals – InApps 2022

To make the move to native apps, Facebook found it needed “an API data version of News Feed — which up until that point had only been delivered as HTML.” This led to a key insight, as GraphQL co-creator Lee Byron explained in 2015 (emphasis mine):

“We don’t think of data in terms of resource URLs, secondary keys, or join tables; we think about it in terms of a graph of objects and the models we ultimately use in our apps like NSObjects or JSON.” 

The biggest difference with REST is that just one trip to the server is needed in GraphQL, which makes the data fetch faster. The response to a GraphQL query is sent back as JSON. In the REST model of fetching data, multiple round trips to the server are often needed to get all of the data an application requires — so it can be slow, especially on a mobile device.

The other key benefit of GraphQL is that the client specifies precisely which data it requires. For example, if it’s for a product page on an e-commerce app, the client can specify that it wants to receive only the name of the product, its price, its customer rating, and its availability. All other data about that product (for example, its technical specs if it’s an electronic product) are not downloaded unless specifically requested. Whereas with a REST API request in the same use case, the server might send back a whole bunch of unnecessary details about a particular product.

This specificity in GraphQL is possible because of the schema, a kind of contract between the server and the client that defines the data types. So GraphQL does require more work up front, using the Schema Definition Language (SDL). But once that work is done, there is a lot more flexibility in GraphQL than in REST.

Shopify’s Adoption of GraphQL

Sticking with e-commerce as a use case, one of the biggest proponents of GraphQL nowadays is Shopify. In May 2018, Shopify offered its most-used REST API, the Admin API, in GraphQL. Since that time, GraphQL has “become Shopify’s technology of choice for building APIs,” according to its developer website.

In a post on its engineering blog earlier this year, Shopify senior developer Maryam Fekri explained that one of the “pain points” Shopify had with REST was mapping data from the server to the client (or vice versa):

Read More:   What We Learned About Kotlin’s Growth

“When working with REST endpoints these mappings are basically matching statically typed code with the unstructured JSON responses. In other words, mobile developers are asked to hard code the type of a field and cast the JSON value to the assumed type.”

This meant that when Shopify had to make a change to one of its REST APIs, external developers would need to update their code accordingly. But with GraphQL, because data is strongly typed (meaning each type is predefined in the schema) the client is always in sync with the server when it comes to mapping data. As Fekri put it, “There are no more statical types in your mobile application and no JSON mapping with the static data types in the codebase.”

Although Shopify is now all-in on GraphQL for building APIs, Fekri cautioned that “on the client-side, we have to consider the costs of a query we build.” In other words, you can’t make your queries too complex. For this reason, Shopify has a limit on what it terms “calculated query cost.” Fekri explained it this way:

“Each field in the schema has an integer cost value, and the sum of all these costs will be the cost of the query we build on the client-side.”

Shopify has a points-based formula to define the “calculated query cost” — so for example, you might only be allowed to accrue 1000 points within 60 seconds.

Conclusion

It’s not that Shopify has completely abandoned REST APIs — it still has REST versions for basic functionality such as admin, billing and inventory. But there are some Shopify APIs that are now only available in GraphQL, such as the Partner API and Storefront API. As for the core Admin API, the GraphQL version is the favored one, as the following note on its API overview page makes clear:

“The Admin API is accessible using either GraphQL (recommended) or REST.”

I should add that REST is still the most-used API format in many other companies, including prominent API public companies Stripe and Twilio. So this is not a “death of REST” type article; REST is alive and well. But, GraphQL is growing quickly — and at least at Shopify, has already proven it’s a worthy replacement for REST.

Feature image via Pixabay.

Source: InApps.net

List of Keywords users find our article on Google:

shopify app
shopify apps
graphql jobs
shopify api
shopify mobile app template
shopify definition
shopify api for mobile app
shopify admin
shopify ux
elasticsearch mapping
shopify mobile app
mobile app with shopify
shopify developer jobs
shopify jobs
digital adoption platform comparison
shopify news
shopify urls
shopify rest api
shopify wikipedia
graphql storefront api
ux shopify
elasticsearch get mapping
android graphql
shopify section
term query elasticsearch
shopify plus development company
graphql vs rest 2022
software developer shopify
shopify objects
shopify product api
linkedin rest api
elasticsearch update mapping
shopify schema types
shopify business name ideas
whatsapp for business rest api
sdl api
graphql android
elasticsearch vs graphql
net core graphql
graphql net core
elasticsearch rest api
shopify api version
update by query elasticsearch
billing shopify
graphql on aws
range query elasticsearch
terms query elasticsearch
hire facebook api developers
product data feed shopify
shopify twilio
shopify.com/partners
shopify product feed
graphql input
shopify plus developers
graphql vs rest
graphql api vs rest api
sonarqube portfolio vs application
apps . shopify . com
shopify graph api
shopify customer service representative
shopify api developer
shopify partners api
sonarqube api
elasticsearch api
how to put your name in wikipedia
how long to learn graphql
admin on rest
partner manager shopify
shopify recruitment
fb graphql
shopify admin api
shopify apis
elasticsearch terms query
what is graph api facebook
mobile device management wikipedia
elasticsearch change mapping
front end developer shopify
shopify news today
sonarqube web api
id me shopify
app sdl
graphql net
api graph facebook
shopify public app
shopify estimated delivery date app
twilio sync api
privacy policy template shopify
shopify add section
shopify api customer
shopify front end developer
sonarqube api get vulnerabilities
elasticsearch term query
graphql aws
net graphql client
shopify elasticsearch
graphql ios
rest api developers for hire
shopify api developers
shopify article template
shopify post
acryl inspiration
app for shopify
engagement favors
twilio vs aws
elasticsearch update by query
graphql types
ios graphql
product api shopify
shopify blog engineering
template name shopify
graphql icon
shopify framework
elasticsearch field types
rest api shopify
shopify products api
template shopify
wp graphql
www shopify
apps shopify
aws app sync
developer shopify
shopify developer resources
graphql fetch policy
shopify to app
how to code shopify
shopify api versions
shopify aps
whatsapp shopify app
hire rest api developer
image schema shopify
shopify api products
shopify not found
shopify to android app
elasticsearch graph api
elasticsearch terms multiple fields
mobile app shopify
shopify app developer
shopify inventory api
shopify scheduler
aws graphql
rest sql
shopify blog
shopify jobs from home
shopify schedule price change
shopify ux design
Rate this post
As a Senior Tech Enthusiast, I bring a decade of experience to the realm of tech writing, blending deep industry knowledge with a passion for storytelling. With expertise in software development to emerging tech trends like AI and IoT—my articles not only inform but also inspire. My journey in tech writing has been marked by a commitment to accuracy, clarity, and engaging storytelling, making me a trusted voice in the tech community.

Let’s create the next big thing together!

Coming together is a beginning. Keeping together is progress. Working together is success.

Let’s talk

Get a custom Proposal

Please fill in your information and your need to get a suitable solution.

    You need to enter your email to download

      [cf7sr-simple-recaptcha]

      Success. Downloading...