safeql VS sqlc

I want sum types.

I want a statically-typed way of constructing composable queries that follow SQL rather than reinvent a different thing. It doesn't have to be the same syntax but it has to be the same structuring.

I started writing one[0] and stopped before doing all the boilerplate code generation, having moved on from the JVM ecosystem for the time being. One thing it does is treat most things like sets so we don't end up with N+1 queries. Another trick it uses is collapsing constant expressions via an expression evaluation library[1].

[0] https://github.com/karmakaze/safeql

[1] https://github.com/karmakaze/moja

Over the years, I've written many apps and utilities for myself or others (that didn't end up get used). These are the interesting ones I remember. Many not quite complete/usable. Other than hackerer.news none of them are 'up' and running. Some have and others haven't been published as opensource.

- https://hackerer.news HN viewer (source[0]): I use daily so I can see today's top stories in reverse chronological order with mainstream topics sorted to the bottom.

- qwickly[1] keyboard layout: I use all the time as an easier to learn and more comfortable to type than Colemak/Tarmak

- safeql[2]: Java type-safe SQL expression composer that reduces constant expressions and eliminates N+1 queries loading associations by always operating on set relation or array of models.

- moja[3]: Composable computation pipelines for Java: Async, Lazy, Option, Try, Result, Multi (List), Stated, Reader, Logger, Writer.

- gitgrep.com[4] Opensource SaaS version of etsy/houndd (now called hound-search).

- statuspages.me: Status page aggregator with dynamic javascript for scraping each source using selector expressions.

- movies to watch aggregator: with links to sources to watch. It was hard then to get 3rd party deep links into streaming sites so included some torrent links. Got a DMCA phone call, so took it down. Combined thumbnails, summaries, actors(?), imdb ratings, links.

- java2cpp: Translate a moderately sized java app with test suite to c++, not 100% required final manual fixups.

- swift2java (or maybe it was java2swift, it's fuzzy now): translate Swift to Java obviously, using ANTLR4. Not 100% required final manual fixups.

- gui2log: to make an ASCII rendition of on-screen GUI widgets into an application log file when form submitted, so users couldn't complain that they saw X, but got Y.

- some basic stats/ML algorithms: k-nearest neighbour, RNN back-propagation, etc?

- Java in-memory DB: Small SQL-like memory tables with indexing/searching.

- wwwsqldesigner: This exists as opensource and I extended it to infer foreign key relationships based on naming conventions used in a MySQL schema. It was great for zooming around a large ERD.

- tracelog: combination of microservices parent/child span logging and generated high level events shown as a sequence diagram. Integrated with Loggly for full/verbose logs of selected high-level events.

- pcl2bmp downscaler: Reduce high resolution HP LaserJet (PCL5) printed to file to lower resolution bitmap pages for screen display (before retina DPI was common). It aimed to shrink same-color areas and preserve black/white transitions while reducing.

[0] https://gitlab.com/karmakaze/hackerer-news

[1] https://github.com/qwickly-org/Qwickly

[2] https://github.com/karmakaze/safeql

[3] https://github.com/karmakaze/moja

[4] https://github.com/gitgrep-com/gitgrep

I completely agree. I pretty much stopped using Spring/Boot because of it, even though it could be used without Hibernate/JPA.

I tried sql2o and later switched to jdbi and Javalin for a lightweight framework. I started making a typesafe library[0] that maps bottom-up like SQL expressions but development as stalled as I haven't been doing much side-project work to use it.

[0] https://github.com/karmakaze/safeql

Interesting choice of JDBI. I was working on an SQL-friendly ORM[0] also due to distaste with Hibernate/JPQL and chose JDBI, not because it was great in any way but it did what I needed and not much else. What influenced your choice and were there any close runner-ups?

[0] https://github.com/karmakaze/safeql

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