One of the fastest ways to get up and running with GraphQL is to install Apollo Server as middleware on your new or existing HTTP server.

In this short post, we demonstrate how to use Apollo Server to create a GraphQL server with Express.js using the [apollo-server-express] package. At the end, we’ll discuss the tradeoffs of this approach.

#graphql #javascript #graphql.js #graphql.js tutorial

At Apollo, we’ve been hard at work helping to showcase the amazing stories and projects that have surfaced in the past few months. We’ve organized one [GraphQL meetup] already and there’s another coming up [tomorrow].

With [all] [the] [amazing] [GraphQL] happening in conferences and meetups around the world, and the fact that there never seemed to be enough room in our meetup lineups for everyone we wanted to hear from, we decided it was time to plan a conference dedicated entirely to GraphQL.

#graphql #talk graphql #graphql summit

Submissions
Developers attend GraphQL Summit to get inspired and take back the knowledge they can share with their teams. We love talks with a unique perspective, teach the audience something new, and push the GraphQL community forward.

All talks should be 20 minutes long and allow for 10 minutes of live Q/A with the audience. Dig it? Sweet 🙂 We look forward to reading your submission!

#graphql #graphql summit #graphql summit worldwide

Best Tech Resume Template: https://papermoontech.com/pmcsrtk/pedro
Use code: PEDRO for 20% off ^

Tech Stack:

• ReactJS
• NodeJS
• ExpressJS
• GraphQL / Express GraphQL / Apollo Client
• TypeScript
• MySQL
• TypeOrm

Code: https://github.com/machadop1407/CRUD-React-GraphQL-NodeJS-MySQL-TypeScript

#react #graphql #graphql #mysql #node

We decided to interview Mikhail Novikov to learn more about GraphQL Finland.

• How would you describe GraphQL Finland to someone who has never heard of it?
  GraphQL Finland is a community-organized non-profit conference about GraphQL. It’s going to happen on 18th and 19th of October at Paasitorni Congress Hall in Helsinki, with workshops on the first day and talks on the second day.

• What does GraphQL Finland offer?
  We have a great line-up of speakers, with keynotes done by people like Dan Schafer, one of the creators of GraphQL, and Adam Miskiewitz, who helped moved Airbnb to GraphQL.
  The workshops are hosted by well-known members of the community, like Marc-Andre Giroux, Sara Vieira, and Nik Graf. It’s an excellent opportunity to learn about GraphQL, if you are new to it, or to improve your knowledge of it if you are already familiar.
  The event is also a great chance to meet other members of GraphQL community.

#graphql #graphql finland

The world is a stage where all of us are artists. Constant learning is the foundation of success. So, here we are going to learn about a query language introduced by Facebook back in 2015, which is GraphQL. In this blog, we will cover the basics of GraphQL.

Overview

GraphQL is a query language(that’s what QL stands for) for your API and a server-side runtime for executing queries. Basically, it is used to load data from a server to a client(it’s a way to get data from an API into your application). GraphQL isn’t tied to any specific database or storage engine and is instead backed by your existing code and data.

#api's #functional programming #graphql #java #java11 #tech blogs #api #functional java #graphql #java

SwiftGraphQL is a Swift code generator. It lets you create queries using Swift, and guarantees that every query you create is valid.

The library is centered around three core principles:

• If your project compiles, your queries work.
• Use Swift in favour of GraphQL wherever possible.
• Your application model should be independent of your schema.

#graphql #graphql client #swiftgraphql

Amplify is a product from AWS that has two aspects to it:

• Amplify framework which as an open-source framework which provides a CLI, libraries to integrate frontend code with the backend and UI components to build fullstack iOS, Android, Web, and React Native apps. You can configure and integrate the underlying cloud services like AWS AppSync (Managed GraphQL, offline data sync), Amazon Cognito (Authentication, Authorization, User Management, MFA), Amazon Pinpoint (Analytics, Customer Engagement), AWS Lambda (GraphQL Resolver, Business logic), Amazon S3 (Storage), or Amazon Lex (Conversation Bots) directly from your command line minimizing the time required to set-up and manage your back-end services.
• The Amplify Console provides a Git-based workflow for hostingfullstack serverless web apps with continuous deployment.

It also supports static-site generators like **Gatsby, Eleventy, Hugo, VuePress, **and Jekyll. You can deploy serverless backends with GraphQL/REST APIs, authentication, analytics, and storage created by the Amplify CLI on the same commit as your frontend code.

Important: You can use Amplify console to deploy and host Single Page App (SPA) frontends and static websites, without using the Amplify Framework.

GraphQL

Amplify supports GraphQL, which is yet another API technology just like REST, SOAP, gRPC, Thrift, OpenAPI (Swagger) etc. First of all, GraphQL is not a Graph database query language. GraphQL is a query language for your APIs which offers a strong type system, great tools for **domain modelling **and many other features.

Components

• **Schema — **Each GraphQL API is defined by a single GraphQL schema. A GraphQL server’s type system is referred to as that server’s schema. All data operations are validated against this schema. GraphQL comes with a set of default scalar types out of the box (Int, Float, String, Boolean, ID), allows you to create own scalar / object types and supports interfaces, union and list types.
• **Data Source — **This is the source of the data for the GraphQL API. The data source could be of any type, as long as one is authorized to read from it.
• Resolvers — Resolvers are the components that connect with the data source and are able to map a schema with it.

Note: GraphQL isn’t tied to any specific database or storage engine and is instead backed by your existing code and data.

In GraphQL, you define certain types as part of domain modelling which are part of your schema. In the following image, the “!” at the end of the type means that the field is required or Not-Null.

#graphql #full-stack #aws-amplify #serverless #aws #graphql

Learn How To Setup GraphQL Yoga Server with Node.js.

#graphql #node #graphql-node #nodejs #tutorial

When building a GraphQL server, one of the first decisions you must make is which GraphQL implementation to use. There are three popular options.

1. GraphQL.js — This is the reference implementation for GraphQL. GraphQL schemas are built by composing objects created from classes such as GraphQLObjectType, GraphQLInterfaceType, and GraphQLEnumType.
2. TypeGraphQL — This implementation builds upon the reference implementation and adds built-in TypeScript support. It makes it easier to make schemas typesafe. GraphQL schemas are built by creating classes and decorating them and their methods with TypeGraphQL decorators.
3. GraphQL Nexus — Similarly to TypeGraphQL, this implementation builds upon the reference implementation and adds built-in TypeScript support. However, the approach taken is much different. Similarly to the reference implementation, GraphQL schemas are created by composing objects created from classes such as objectType, interfaceType, and enumType. Unlike the reference implementation, Nexus uses some black magic TypeScript trickery so that your schemas are more strongly typed. Unfortunately, as we’ll see below, this doesn’t always work so well.

In order to do a proper comparison of these three implementations, I’ll show how you can build the  Star Wars schema using each of them and talk about their pros and cons. At the end, I’ll give my opinion on which one I prefer using.

The code shown in this article can be found here.

• Star Wars schema implemented using GraphQL.js.
• Star Wars schema implemented using TypeGraphQL.
• Star Wars schema implemented using GraphQL Nexus.
• Star Wars schema implemented using GraphQL.js + GraphQL Code Generator.

#typegraphql #graphql #graphql-nexus #javascript

How to execute GraphQL queries

We know what queries look like and we know what to expect in response when we write them. The next question is: how do we execute them?

It’s important to know that since GraphQL queries are just plain strings, we can use a variety of approaches to fetch data. Among the many options, some that come to mind are:

• curl
• fetch
• GraphQL client libraries (like Apollo Client)

#graphql #graphql query #apollo explorer

GraphQL solves following 2 major problems of REST API implementation.

1. Unnecessary data fetching leads to utilizing high bandwidth (Over fetching)
2. Unnecessary implementation of different endpoints for different functions leads to complexity and need to do multiple calls from front end to get required data. (Under fetching)
   Above mentioned both the problems solved by GraphQL as you can query same URL endpoint in order to perform different actions and you can also query only required data you want which eventually saves computational time and memory.

#graphql #hacking #graphql basics

AWS AppSync released direct Lambda resolver support for AWS AppSync GraphQL operations making is easier than ever to build a fully serverless GraphQL API on AWS.

In this video I walk through how this all works by standing up a GraphQL API from scratch, adding a Lambda function as a data source, creating a GraphQL schema, and mapping the GraphQL operations in the schema to the AWS Lambda data source.

I then log out the event object and walk through what data is available in the event.

#graphql #aws lambda #lambda #serverless graphql

GraphQL solves real problems, and people are taking notice.
It’s not just React developers who are getting excited about GraphQL. Angular, iOS and Android developers are equally interested in what GraphQL has to offer. Its popularity is rapidly growing, and for a good reason: GraphQL has solutions for some very real problems that developers grapple with every day. That’s why companies like Twitter, [Intuit] and [Drupal] are adopting it.

#graphql #future graphql

TL;DR

• GraphQL is a modern query language and a runtime for APIs, widely seen as a successor to REST APIs.
• GraphQL is built around the concept of “get exactly what you asked for”, without any under fetching or over fetching of data.
• GraphQL makes it easier to aggregate data from multiple sources, and uses a type system to describe data rather than multiple endpoints.
• The GraphQL Landscape shows an aggregated GraphQL adoption table covering over 116k stars, a market cap of $4.7 trillion, and a funding of over $9 billion.
• The team at Honeypot filmed a documentary on the history and emergence of GraphQL that can be viewed on YouTube.

What is GraphQL?

Quite simply put, GraphQL is a query language for APIs and a runtime for fulfilling those queries with existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

GraphQL supports reading, writing (mutating), and subscribing to changes to data (realtime updates – most commonly implemented using WebHooks). GraphQL servers are available for multiple languages, including Haskell, JavaScript, Perl, Python, Ruby, Java, C++, C#, Scala, Go, Erlang, PHP, and R.

The attraction for GraphQL is primarily based on the concept of asking for what you need, and receiving just that - nothing more, nothing less. When sending queries to your API, GraphQL returns a very predictable result, without any over fetching or under fetching, ensuring that apps using GraphQL are fast, stable, and scalable.

To visualise how this would look, let’s use the GraphCMS website as an example (disclaimer, I work there) and take a look at the posts on the GraphCMS Academy by running a query asking for just the titles of articles.

The query would look similar to this:

{
  academyPosts {
    title
  }
}

From here we can infer that we’re just asking for the title of Academy posts, and nothing else. Therefore, the results returned would be:

{
  "data": {
    "academyPosts": [
      {
        "title": "Headless Mobile Content Management System (Mobile CMS)"
      },
      {
        "title": "What is Content as a Service (Caas)"
      },
      {
        "title": "Headless CMS and SEO Best Practices"
      },
      {
        "title": "What Is A Headless CMS?"
      },
      {
        "title": "Understanding Digital Experience Platforms (DXP) and Headless CMS"
      },
      {
        "title": "Understanding the Content Mesh and how a Headless CMS fits in."
      },
      {
        "title": "The Era of Application Content"
      },
      {
        "title": "Best Practices for Headless Content Modelling"
      },
      {
        "title": "Choosing the best Headless CMS"
      },
      {
        "title": "What is GraphQL?"
      },
      {
        "title": "Choosing a Headless CMS for Content Creators"
      },
      {
        "title": "Selecting a Headless CMS - a Checklist"
      },
      {
        "title": "What is a DXP (Digital Experience Platform)?"
      },
      {
        "title": "What is the JAMStack?"
      }
    ]
  }
}

On such a simple request its easy to highlight how the payload would be minimal. However, GraphQL queries access not just the fields of a single resource, but also follow references between them. While typical REST APIs require loading from multiple URLs, GraphQL APIs get all the data in a single request - making apps quick even on slow mobile network connections.

To visualise this, let’s try a more complex request where we want to see a list of blog posts on GraphCMS, but rather than just the postTitle, also get the authors these posts are related to, the slugs of the posts, and the categories these blog posts fall under.

#graphql #headless-cms #api #rest-api #e-commerce #graphql-api #backend #database