The easiest approach to include GraphQL into your product design, in our opinion, is to use it as a layer between your apps and current APIs.
The REST acronym is defined as a “REpresentational State Transfer” and is designed to take advantage of existing HTTP protocols when used for Web APIs. It is very flexible in that it is not tied to resources or methods and has the ability to handle different calls and data formats. Because REST API is not constrained to an XML format like SOAP, it can return multiple other formats depending on what is needed. If a service adheres to this style, it is considered a “RESTful” application. REST allows components to access and manage functions within another application.
REST was initially defined in a dissertation by Roy Fielding’s twenty years ago. He proposed these standards as an alternative to SOAP (The Simple Object Access Protocol is a simple standard for accessing objects and exchanging structured messages within a distributed computing environment). REST (or RESTful) defines the general rules used to regulate the interactions between web apps utilizing the HTTP protocol for CRUD (create, retrieve, update, delete) operations.
An API (or Application Programming Interface) provides a method of interaction between two systems.
A RESTful API (or application program interface) uses HTTP requests to GET, PUT, POST, and DELETE data following the REST standards. This allows two pieces of software to communicate with each other. In essence, REST API is a set of remote calls using standard methods to return data in a specific format.
The systems that interact in this manner can be very different. Each app may use a unique programming language, operating system, database, etc. So, how do we create a system that can easily communicate and understand other apps?? This is where the Rest API is used as an interaction system.
When using a RESTful API, we should determine in advance what resources we want to expose to the outside world. Typically, the RESTful API service is implemented, keeping the following ideas in mind:
The features of the REST API design style state:
For REST to fit this model, we must adhere to the following rules:
#tutorials #api #application #application programming interface #crud #http #json #programming #protocols #representational state transfer #rest #rest api #rest api graphql #rest api json #rest api xml #restful #soap #xml #yaml
To layer GraphQL over our existing PHP API, we will use Apollo Server. It has built-in support for GraphQL subscriptions, powerful error handling tools, schema stitching, file uploads, mocking, schema directives and easy monitoring integration. Let’s dive into building our schema!
#graphql #rest #layer
You should be open to using the best tools for the job, which may include both GraphQL and REST.
Treat the graph as a data-driven hierarchy defined by plural nouns: A well-formed GraphQL should look like a well-formed REST.
Don’t force GraphQL when REST makes more sense
In REST, users often request and submit data from different URLs, especially when using patterns such as Command Query Responsibility Segregation (CQRS), a design pattern first identified by Martin Fowler that separates the model that reads the data from the model that updates the data.
In GraphQL, mutations (the way a GraphQL developer submits data) can get very complex very quickly, especially when there are a lot of different data types or when very little data is submitted.
Optimize for re-usability
In GraphQL, it’s easy to optimize for query efficiency, but be intentional about optimizing for re-usability. Avoiding situations in which APIs confuse developers will pay dividends.
#graphql #rest #apis #rest and graphql
GraphQL APIs draw a natural comparison and contrast to RESTful APIs. I should mention in the very beginning there are benefits to both approaches. Don’t force adopt GraphQL when REST makes more sense. Even if you do decide to go with GraphQL APIs, be sure to continue REST-based best practices. For example, optimize for reusability.
A core distinction of GraphQL is it is optimized for performance and flexibility. A big part of this is instead of returning a complete dataset, GraphQL allows you to tailor the request to just give you the data you need. This is a notable change from RESTful APIs since REST endpoints don’t allow you to tailor the data that is returned. Another advantage is operations that would require multiple RESTful API calls can be simplified to a single GraphQL API call.
#graphql #restful #apis #graphql apis #restful apis
We see a lot of articles that tout the features of graphql, praising its advantages over rest API’s, I do mostly agree with these articles, but I’ll like to present its advantages from another perspective — by elaborating some issues I had integrating a 50+ rest api in an app.
API Documentation isn’t documentation when it doesn’t accurately represent the complete range of input-output relationships.
The api docs whilst mostly accurate, left me guessing at which data types were accepted and the range of values fields could take.
Using a standard rest API felt like I had to have “faith” on the documentation in exactly what had to be returned, and frustration ensued when it didn’t correlate with expectations.
#rest-api #graphql #graphql-vs-rest #api