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What is GraphQL2:35 with Isaac Lee Morris
In this video, we’ll go over GraphQL at a high level, and learn about some of its more exciting features.
- Schema - A special kind of document that describes how a GraphQL endpoint can receive and send information
- Query Language - The syntax we use to write GraphQL queries that retrieve data from an endpoint
- Self-documenting API - An API that can be easily understood just by reading its schema -- no extra documentation needed
[MUSIC] 0:00 Hi there, I'm Isaac Lee and welcome to introduction to GraphQL. 0:04 In this course, I'll show you a whole new method for 0:10 fetching data from your backend. 0:12 You'll learn how to request data in the exact shape we wanna get it, make changes 0:14 to our data, and use some handy tricks to make our code even more reusable. 0:19 GraphQL is composed of two main parts, the query language, 0:24 which is used to request data, and the framework that processes these queries. 0:28 In this course, we'll be focusing on the query language, 0:34 which is the meat of GraphQL. 0:36 GraphQL's unique language allows us to specify the exact format 0:39 that we want to receive our data in. 0:43 Other benefits of GraphQL will include self documenting APIs, 0:46 the ability to fetch deeply nested data in a single request and 0:50 the ability to mount GraphQL in front of any existing API. 0:54 So what exactly do we mean by self documenting API? 0:59 This just mean that by looking at the API's schema, 1:03 it's easy to understand what the data coming out of it will look like. 1:06 Let's take a quick look at an example schema. 1:11 As you can see, the schema looks a lot like JSON, 1:14 without knowing anything else like GraphQL. 1:18 I can guess that this movie object will have an ID field, 1:20 a title field, a tagline field, and the studio field. 1:24 Since the schema is expressed in a format we're familiar with, 1:29 you can easily predict which queries will work and which ones won't. 1:32 Building on this concept makes fetching deeply nested data easier than ever. 1:37 If we need data that is nested inside of another object, like Studio for 1:43 example, we can just look at the schema for the nested object. 1:47 Which in this case, is the Studio type. 1:50 And right away, we know which fields are available for our response. 1:53 Lastly, GraphQL is super flexible as a backend. 1:58 When it comes to developing new APIs, you can start from scratch 2:02 with a GraphQL server that communicates directly with your database. 2:06 However, if you already have an API that's responsible for communicating with 2:10 your database, you can just bolt GraphQL right in front of that API. 2:14 GraphQL doesn't care where the data comes from which makes it useful for 2:19 a wide variety of applications. 2:23 We won't be covering how to implement a GraphQL backend in this course. 2:25 Just know that when it comes time to, 2:29 GraphQL can be implemented in just about any environment. 2:31
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