gqlgen
foundation
gqlgen | foundation | |
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43 | 210 | |
9,630 | 86 | |
0.7% | - | |
9.3 | 0.0 | |
8 days ago | 4 months ago | |
Go | ||
MIT License | MIT License |
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gqlgen
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Who moved my error codes? Adding error types to your GoLang GraphQL Server
GraphQL’s spec, as it turns out, does not specify how servers should handle internal errors at all, leaving it entirely to the choice of the frameworks’ creators. Take for example our GoLang GraphQL framework of choice - gqlgen. It makes no distinction between intentional and unexpected errors: all errors are returned as-is to the client within the error message. Internal errors, which often contain sensitive information like network details and internal URIs, would leak to clients easily if not caught manually by the programmer.
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“Go is hard to justify unless at massive scale”
Better look into this one: https://github.com/99designs/gqlgen for GraphQL powered by Go. It's spec first approach and requires the least boilerplate code to write. It also incorporates seamlessly with Apollo Federation.
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Go with PHP
I left PHP for Go.
- with http://sqlc.dev I don't have to write ORM or model code anymore.
- with http://goa.design I can have well-documented API's that any team can generate a client for in any language. It also generates the HTTP JSON and gRPC servers for me so I can focus on my logic.
- with https://github.com/99designs/gqlgen I can define GraphQL revolvers that play well with sqlc (any RDBMS) or I can use a key-value store.
- speaking of key-value stores, Go allows them to be embedded! Even SQLite now has the https://litestream.io/ project to make it super simple to use a durable, always backed-up SQLite database even in a serverless context.
Go is faster, uses less memory, and has really-well designed stdlib without all the bugs I used to face trying to use the PHP stdlib.
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Golang tech stack
Gqlgen if I need GraphQL
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Scalable APIs with GraphQL Server Codegen Preset
Some of these features are inspired by gqlgen so check it out if you need a Golang GraphQL server implementation.
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How to develop a Web app in go
If you want to use GraphQL: https://github.com/99designs/gqlgen
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Libraries you use most of your projects?
In addition to the ones you mentioned, I also always use: + sqlc - Compile SQL to type-safe code + gqlgen - generate GraphQL server from schema + oapi-codegen - Go client and server boilerplate from OpenAPI 3 specifications + pester - Go http calls with retries and backoff + backoff - exponential backoff algorithm in Go
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Ent: An Entity Framework for Go
I have no experience in Django but in Ent with GraphQL.
Ent is not a full-featured web framework so you need to implement many of features by your own or use other libraries (e.g. http server and session management).
If you are only looking for ORM + GraphQL then I highly recommend trying Entgql, an Ent extension for GraphQL with Gqlgen library [1]. Once you define an ORM schema, it will generate GraphQL Query for Relay server. Still you need to implement GraphQL Mutations by your own but at least it will create Input types for you (both for Create/Update).
[1]: https://github.com/99designs/gqlgen
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Best packages?
gqlgen for GraphQL services. It's well documented and maintained.
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Decent examples querying models from Postgres
For me sqlc work wonders. If you are developing a user facing api and are fine to go with graphql, with gqlgen you can even autobind (search the page for @goModel) the models that sqlc generates from your queries. A glorious match
foundation
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.
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REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers
REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.
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Gatsby tutorial: Build a static site with a headless CMS
A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.
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Rust GraphQL APIs for NodeJS Developers: Introduction
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:
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How to convert a TypeScript built-in enum to a GraphQL enum
At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.
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Embracing the Headless Channel in Xperience by Kentico
This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.
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Building a CRUD application with React, TypeScript, TypeORM, MySQL, GraphQL, and NodeJs | Part A
To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.
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Supercharging Your App Development: Unleashing the Full Potential of React Native
GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.
What are some alternatives?
graphql-go - GraphQL server with a focus on ease of use
MongoDB - The MongoDB Database
Fiber - ⚡️ Express inspired web framework written in Go
reddit-clone-with-redwoodjs
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
Echo - High performance, minimalist Go web framework
Apache Cassandra - Mirror of Apache Cassandra
go-kit - A standard library for microservices.
React - The library for web and native user interfaces.
fasthttprouter - A high performance fasthttp request router that scales well
Materialize - Materialize, a CSS Framework based on Material Design