GraphQL with Apollo Server 2.0

TL;DR

Learn how to create a GraphQL API using Apollo Server 2.0 and Node.js, making RESTful APIs obsolete.

Transcript

one of the big predictions people are making in 2018 is that graph QL will make restful api is obsolete in today's episode we'll learn how to build a graph QL API from scratch using Apollo server 2.0 and node KS if you're new here make sure to LIKE and subscribe and I want to send a huge thank you out to Arjun yellow man celli he's the mastermind b... Read More

Key Insights

• 👻 GraphQL solves the problem of over-fetching data by allowing the client to request only what it needs, resulting in more efficient data transfer.
• ℹ️ It can be used with any backend data source, providing flexibility and compatibility with existing systems.
• ❓ With GraphQL, developers have advanced tooling and can easily discover available data and its structure.
• ↩️ Resolvers are used to fetch and return the actual data to the client, enabling customization and efficient data retrieval.
• 🔠 Apollo Engine enhances a GraphQL API by providing features like caching, tracing, and error monitoring.
• 🔨 Deploying a GraphQL API to a production server is straightforward using tools like the Google Cloud command-line tools.
• 🏛️ The combination of Apollo Server, Firebase, and GraphQL provides a powerful and scalable solution for building APIs.

Questions & Answers

Q: What is the main advantage of using GraphQL instead of a RESTful API?

The main advantage of GraphQL is that it allows the client to request only the data it needs, eliminating excessive data transfer.

Q: Can GraphQL be used with any backend data source?

Yes, GraphQL can be used with any backend data source, including Firestore, as demonstrated in this video.

Q: How do you define the available data in a GraphQL API?

The available data is defined using type definitions in GraphQL, where developers can specify the shape and structure of the data.

Q: Can GraphQL handle relational data from multiple sources?

Yes, GraphQL can handle relational data by allowing developers to join data from multiple sources and retrieve it in a single request.

Q: What are the main components of a GraphQL API?

The main components of a GraphQL API are the type definitions, which define the available data, and the resolvers, which fetch and return the actual data.

Q: How does Apollo Engine enhance a GraphQL API?

Apollo Engine provides features like caching and tracing, improving performance, and allowing for error monitoring and analysis.

Q: How can a GraphQL API be deployed to a production server?

The GraphQL API can be deployed to a production server using the Google Cloud command-line tools and the Node.js runtime.

Summary & Key Takeaways

• GraphQL sits between the backend and frontend, allowing the server to define available data and the client to request only what it needs.

• This video demonstrates how to set up a GraphQL API using Firebase and Apollo Server, providing a playground to test requests.

• GraphQL enables advanced developer tooling and allows for efficient data retrieval, even from multiple data sources.