postgres-typed
FrameworkBenchmarks
postgres-typed | FrameworkBenchmarks | |
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5 | 366 | |
26 | 7,391 | |
- | 0.5% | |
0.0 | 9.8 | |
over 1 year ago | 3 days ago | |
TypeScript | Java | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
postgres-typed
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Kysely: TypeScript SQL Query Builder
This is really cool, will look into using it in future projects!
I also made a tool (https://github.com/vramework/schemats) that generates the types directly from the db, which means whenever you do a DB migration your database types automatically update. Was forked from the original schemats library a couple years ago.
I also created a lightweight library ontop of pg that is less of a query builder and more of a typed CRUD + SQL for non trivial queries (https://github.com/vramework/postgres-typed). Most queries I deal with in a day to day is usually crud so I find it a little easier, but it's much less powerful then Kysely! I fall more into the camp of writing complex queries in SQL with small helpers and writing simple ones with util functions and typescript
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Ask HN: Who Wants to Collaborate?
I'm working on a few projects, from one/two days to platforms.
The first is OS and is a simple nodeJS environment to deploy applications via lambda and express quickly. Sort of like nestJS except less decorators and more functional (https://vramework.io/). I already know of a few other colleagues that rolled their own propriety versions of this to support enterprise and cloud deployments so decided to OS it.
The other OS project is a strongly typed postgres/mysql driver. The idea is to generate typescript definitions directly from postgres (https://github.com/vramework/schemats) and then have a think layer ontop of pg-node that gives you strongly typed queries (https://github.com/vramework/postgres-typed).
An open-source project I spent a few years on the core team is https://deepstream.io/, a realtime-server that allows you to mix and match multiple streaming protocols (mqtt/websocket/others) and allow those clients to talk to each other using pub-sub and records. I'm not longer working for it but wanted to give it a shout out!
On a non OS project, I have been working on an immersive audio platform for a while now. The main goal is to allow users to pick and choose how audio books progress, and also have a live session mode which allows users to record their pulse / answer questions and a few other metrics and associate it with sentences. I pretty much built and deployed all of it but require some advice/brainstorming on how to proceed now. I built it to satisfy an itch when I was practicing shamanism during the first lockdown when I was in-between contracts / taking time off.
I also want to build a simple web-pages strategy game based around eco-education, but don't have the bandwidth . If anyone is interested in mixing together gamification and eco-village building might be a fun conversion to bounce ideas!
All the OS projects above were used to support my personal/a couple professional projects over the last few years.
Email in profile
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Write an SQL query builder in 150 lines of Python
I agree with your point that adding multiple layers = more attack vectors and abstraction of a really good domain specific language. But what seems to happen on most of the projects I work on is we end up hiding away extremely common logic behind helper functions. It always starts off with SQL and then slowly gets moved into higher level functions that offer a better developer experience.
Shameless plug, but I just posted a library I wrote (for node https://github.com/vramework/postgres-typed/blob/master/READ...) which pretty much is a tiny layer ontop of pg-node (which is query based / with value parameters) and provides small util functions with typescript support derived straight from postgres tables.
In an ideal world (one I think we are getting very close to) I think we will end up having SQL queries validated in our code against the actual DB structure the same way we have any other compilation error. But until then we'll need to rely on tests or helper libraries, and for the purpose of refactoring and development I find the latter more enjoyable (although still far from perfect).
- Show HN: Node Typed Postgres Query Builder
- Show HN: Typed Postgres CRUD Queries
FrameworkBenchmarks
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Why choose async/await over threads?
Neat. Thanks for sharing!
Interestingly, may-minihttp is faring very well in the TechEmpower benchmark [1], for whatever those benchmarks are worth. The code is also surprisingly straightforward [2].
[1] https://www.techempower.com/benchmarks/
[2] https://github.com/TechEmpower/FrameworkBenchmarks/blob/mast...
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Ntex: Powerful, pragmatic, fast framework for composable networking services
ntex was formed after a schism in actix-web and Rust safety/unsafety, with ntex allowing more unsafe code for better performance.
ntex is at the top of the TechEmpower benchmarks, although those benchmarks are not apples-to-apples since each uses its own tricks: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
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A decent VS Code and Ruby on Rails setup
Ruby is slow. Very slow. How much you may ask? https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s... fastest Ruby entry is at 272th place. Sure, top entries tend to have questionable benchmark-golfing implementations, but it gives you a good primer on the overhead imposed by Ruby.
It is also not early 00s anymore, when you pick an interpreted language, you are not getting "better productivity and tooling". In fact, most interpreted languages lag behind other major languages significantly in the form of JS/TS, Python and Ruby suffering from different woes when it comes to package management and publishing. I would say only TS/JS manages to stand apart with being tolerable, and Python sometimes too by a virtue of its popularity and the amount of information out there whenever you need to troubleshoot.
If you liked Go but felt it being a too verbose to your liking, give .NET a try. I am advocating for it here on HN mostly for fun but it is, in fact, highly underappreciated, considered unsexy and boring while it's anything but after a complete change of trajectory in the last 3-5 years. It is actually the* stack people secretly want but simply don't know about because it is bundled together with Java in the public perception.
*productive CLI tooling, high performance, works well in a really wide range of workloads from low to high level, by far the best ORM across all languages and back-end framework that is easier to work with than Node.JS while consuming 0.1x resources
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The Erlang Ecosystem [video]
Although that seems to have improved in recent years.
https://www.techempower.com/benchmarks/#hw=ph&test=json§...
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Ruby 3.3
RoR and whatever C++ based web backend there is count as a valid comparison in my book. But comparing the languages itself is maybe a bit off.
On a side note, you can actually compare their performance here if you’re really curious. But take it with a grain of salt since these are synthetic benchmarks.
https://www.techempower.com/benchmarks
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API: Go, .NET, Rust
Most benchmarks you'll find essentially have someone's thumb on the scale (intentionally or unintentionally). Most people won't know the different languages well enough to create comparable implementations and if you let different people create the implementations, cheating happens. The TechEmpower benchmarks aren't bad, but many implementations put their thumb on the scale (https://www.techempower.com/benchmarks). For example, a lot of the Go implementations avoid the GC by pre-allocating/reusing structs or allocate arrays knowing how big they need to be in advance (despite that being against the rules). At some point, it becomes "how many features have you turned off." Some Go http routers (like fasthttp and those built off it like Atreugo and Fiber) aren't actually correct and a lot of people in the Go community discourage their use, but they certainly top the benchmarks. Gin and Echo are usually the ones that are well-respected in the Go community.
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Rage: Fast web framework compatible with Rails
There is certainly a lot of speculation in Techempower benchmarks and top entries can utilize questionable techniques like simply writing a byte array literal to output stream instead of constructing a response, or (in the past) DB query coalescing to work around inherent limitations of the DB in case of Fortunes or DB quries.
And yet, the fastest Ruby entry is at 274th place while Rails is at 427th.
https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
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Node.js – v20.8.1
oh what machine? with how many workers? doing what?
search for "node" on this page: https://www.techempower.com/benchmarks/#section=data-r21
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Strong typing, a hill I'm willing to die on
JustJS would like a word https://www.techempower.com/benchmarks/#section=data-r20&tes...
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Rust vs Go: A Hands-On Comparison
In terms of RPS, this web service is more-or-less the fortunes benchmark in the techempower benchmarks, once the data hits the cache: https://www.techempower.com/benchmarks/#section=data-r21
Or, at least, they would be after applying optimizations to them.
In short, both of these would serve more rps than you will likely ever need on even the lowest end virtual machines. The underlying API provider will probably cut you off from querying them before you run out of RPS.
What are some alternatives?
PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
sql-athame - Python tool for slicing and dicing SQL
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
sql-assassin - Unfancy node.js SQL builder for ES6
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
LiteNetLib - Lite reliable UDP library for Mono and .NET
vox - Vox language compiler. AOT / JIT / Linker. Zero dependencies
C++ REST SDK - The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
deepstream.io - deepstream.io server
SQLBoiler - Generate a Go ORM tailored to your database schema.