goa VS sqlc

My experience of Golang is that dependency injection doesn't really have much benefit. It felt like a square peg in a round hole exercise when my team considered it. The team was almost exclusively Java/Typescript Devs so it was something that we thought we needed but I don't believe we actually missed once we decided to not pursue it.

If you are looking at OpenAPI in Golang I can recommend having a look at https://goa.design/. It's a DSL that generates OpenAPI specs and provides an implementation of the endpoints described. Can also generate gRPC from the same definitions.

We found this removed the need to write almost all of the API layer and a lot of the associated validation. We found the generated code including the server element to be production ready from the get go.

See https://goa.design/. It automates all the comms stuff, so you just write: 1) a design file showing your functions, 2) an implantation of those functions, and 3) a very generic "main.go" (basically the same for all your services) that decides "how is this exposed over gRPC or REST or other comms?". The rest of the code is generated.

Perhaps the easiest way to find out how to do something (especially when using Meta) is to search the test cases when you have cloned the source code.

If you really need a framework, you can take a look at Echo or, for a contract-first approach, https://goa.design/

Few folks in here are (rightly) frustrated with the code generation story and broader tooling support around the OpenAPI standard. I've found a few alternative approaches quite nice to work with:

- Use a DSL to describe your service and have it spit out the OpenAPI spec as well as server stubs. In other words, I wouldn't bother writing OpenAPI directly - it's an artifact that is generated at build time. As a Go user, I quite like Goa (https://goa.design/) but there are others shared in here like TypeSpec.

- There are situations where sticking a backend-for-frontend (BFF) in front of APIs can yield great productivity boosts. For example, in the past we built a thin GraphQL proxy that calls out to a poorly structured REST API. Integrating with that was much more convenient. Most recently, I've been playing with a BFF built with tRPC (https://trpc.io/) which calls out to a REST API. It seemed to provide an even better experience if you use TypeScript on the front-end and in the BFF. It does not have a codegen step and I was really pleased with how fast I could iterate with it - granted it was a toy project.

One of the biggest issues I see is that you are using the same models for API as you are for the database. That wouldn’t fly in a real work system. And even though your doing simple CRUD I would introduce another layer for business logic. You should never have the Controller calling you database code directly. It never “stays” that simplistic. One of the easiest ways to deal with this is to use Goa. https://goa.design/ It takes care of generating your API models and it creates the Interfaces to implement for your business logic. Furthermore it creates OpenAPI documentation (something missing in this design that is a must for commercial development).

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.

Goa and Kong are some of the best frameworks to develop and deploy microservices. They provide features such as out-of-the-box support for service discovery, routing and authentication that make it easier to build more complex applications. There are also newer architectural frameworks with less steep learning curves like GPTDeploy that lets you build and deploy microservices with a single command.

Or the one we use at work: https://goa.design/ Goa does a lot more and maybe more than you need. We use it as it can generate both REST and gRPC as well as API models and OpenAPI documentation (JSON and YAML).

Hi HN, I’m Kyle and together with Andrew (https://news.ycombinator.com/user?id=stanleydrew) we’ve been working on Riza (https://riza.io), a project to make WASM sandboxing more approachable. We’re excited to share a developer preview of our code interpreter API with HN.

There’s a bit of a backstory here. A few months ago, an old coworker reached out asking how to execute untrusted code generated by an LLM. Based on our experience building a plugin system for sqlc (https://sqlc.dev), we thought a sandboxed WASM runtime would be a good fit. A bit of hacking later, we got everything wired up to solve his issue. Now the API is ready for other developers to try out.

The Riza Code Interpreter API is an HTTP interface to various dynamic language interpreters, each running inside a WASM sandbox without access to the outside world (for now). We modeled the API to align with a POSIX shell-style interface.

We made a playground so you can try it out without signing up: https://riza.io

The API documentation lives here: https://docs.riza.io

There are many limitations at the moment, but we expect to rapidly expand capabilities so that programs can e.g. access the network and filesystem. Our roadmap has more details: https://docs.riza.io/reference/roadmap

If you need to execute LLM-generated code we’d love to have you try the API and let us know if you run into any issues. You can email us directly at [email protected].

"Is there a way to get sqlc to use pointers for nullable columns instead of the sql.Null types?"

I came across this yesterday for golang: https://sqlc.dev which is somewhat like what you want, maybe.

Not sure it allows you to parameterize table names but the basic idea is codegen from sql queries so you are working with go code (autocompletion etc).

Agreed, but tools like https://sqlc.dev, which I mention in the article, are a good trade-off that allows you to have verified, testable, SQL in your code.

sqlc is not strictly a conventional ORM. It offers a unique approach by generating Go code from SQL queries. This allows developers to write SQL, which sqlc then converts into type-safe Go code, reducing the boilerplate significantly. It ensures that your queries are syntactically correct and type-safe. sqlc is ideal for those who prefer writing SQL and are looking for an efficient way to integrate it into a Go application.

I was browsing awesome-go for ideas on how to setup my data access layer when I stumbled on sqlc. It seemed like a great option. Code generation is a strategy often used in the Go ecosystem and making my queries safe at compile time was an idea I really liked. Knex was great, but it required of me that I test thoroughly my queries at runtime and that I sanitize my query results to ensure type safety within my application.

Now, we are going to generate the code. For this purpose, we are going to use sqlc.

https://github.com/sqlc-dev/sqlc — for use with //go:generate