µWebSockets
ClickHouse
Our great sponsors
µWebSockets | ClickHouse | |
---|---|---|
41 | 208 | |
16,718 | 34,153 | |
1.0% | 2.6% | |
8.6 | 10.0 | |
about 1 month ago | 1 day ago | |
C++ | C++ | |
Apache License 2.0 | Apache License 2.0 |
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.
µWebSockets
-
I'm open-sourcing my game engine
They use (uWebSockets)[https://github.com/uNetworking/uWebSockets], which was written in C++, but has an interface to use in NodeJS. It's been really performant for me in my simple tests compared to other popular websocket libs that slow down fairly quickly.
-
8 Best WebSocket Libraries For Node
µWebSockets, pronounced as "microWebSocket”, is a WebSocket library written in C++ and has Node.js bindings. Its design focuses on being efficient and scalable, making it ideal for applications that require high concurrency and low latency.
-
Recommendations for a CPP HTTP server which supports changing max threads at run time.
You can do that with any single threaded library that leaves threading to you. Like for example https://github.com/uNetworking/uWebSockets
-
What's the hot tech stack these days?
Websockets are also pretty valuable for updating the page in real time, there are servers in many languages. I'm a big fan of https://github.com/uNetworking/uWebSockets which is C++ but also has JS bindings to use with Node.js.
-
I have done a full benchmark of a POST REST API on my computer: Node.js vs Fastify vs Express.js vs Deno vs Bun vs GO. Node.js is used WITH and WITHOUT clustering on 6-core I7 processor
Can you include uWebsockets? https://github.com/uNetworking/uWebSockets
-
[Cpp] Quelle bibliothèque de serveur Web C++ faut-il utiliser de nos jours ?
μWebSockets Génial, rapide, peut transformer l’eau en vin. Nécessite C++17.
-
Nuklear – A single-header ANSI C immediate mode cross-platform GUI library
Not exaclty -- it looks like it's pretty overkill for my needs
I'm looking for something more like websocketpp[0], or even just grpc without a requisite proxy. uWebsockets looks really promising, being header only, but in the fine print requires a runtime library. unfortunately, none of that ecosystem seems to use cmake, making integrating it that much more of a pain.
why use cpp for this, I'm sure some HNer will ask. the ray tracer itself is using cuda, that's why. I've also debated
- running it as a grpc server and having some proxy in a more web-accessible language
- creating python bindings and using python to make a websocket/http server for it
neither of those are out of the question, but they're not my first choices, because I'd like to keep the build & execution simple. introducing dependencies, especially other executables, is in conflict with that.
i don't need anything particularly scalable -- a threaded implementation, or one using select() would be fine, if not preferable.
[0] https://docs.websocketpp.org/
[1] https://github.com/uNetworking/uWebSockets
-
WebSocket Server in C
Really cool i also made and CAPI for using WebSocket in C, https://github.com/uNetworking/uWebSockets/tree/master/capi
I will take a deep look on your project thanks for sharing!
-
Socketify.py - Maybe the fastest web framework for Python and PyPy
We discover a really fast, small, and well maintained C++ Library called uNetworking/uWebSockets, but no C API available, so we create and adapt the full C API from uNetworking/uWebSockets and will integrate libuv powered fetch and file IO, this same C API is used by Bun
- In the 1970s, programming was an elite's task. Today programming is done by uneducated "farmers" and as a result, the care for smart algorithms, memory usage, CPU-time usage and the like has dwindled in comparison.
ClickHouse
-
We Built a 19 PiB Logging Platform with ClickHouse and Saved Millions
Yes, we are working on it! :) Taking some of the learnings from current experimental JSON Object datatype, we are now working on what will become the production-ready implementation. Details here: https://github.com/ClickHouse/ClickHouse/issues/54864
Variant datatype is already available as experimental in 24.1, Dynamic datatype is WIP (PR almost ready), and JSON datatype is next up. Check out the latest comment on that issue with how the Dynamic datatype will work: https://github.com/ClickHouse/ClickHouse/issues/54864#issuec...
-
Build time is a collective responsibility
In our repository, I've set up a few hard limits: each translation unit cannot spend more than a certain amount of memory for compilation and a certain amount of CPU time, and the compiled binary has to be not larger than a certain size.
When these limits are reached, the CI stops working, and we have to remove the bloat: https://github.com/ClickHouse/ClickHouse/issues/61121
Although these limits are too generous as of today: for example, the maximum CPU time to compile a translation unit is set to 1000 seconds, and the memory limit is 5 GB, which is ridiculously high.
-
Fair Benchmarking Considered Difficult (2018) [pdf]
I have a project dedicated to this topic: https://github.com/ClickHouse/ClickBench
It is important to explain the limitations of a benchmark, provide a methodology, and make it reproducible. It also has to be simple enough, otherwise it will not be realistic to include a large number of participants.
I'm also collecting all database benchmarks I could find: https://github.com/ClickHouse/ClickHouse/issues/22398
-
How to choose the right type of database
ClickHouse: A fast open-source column-oriented database management system. ClickHouse is designed for real-time analytics on large datasets and excels in high-speed data insertion and querying, making it ideal for real-time monitoring and reporting.
-
Writing UDF for Clickhouse using Golang
Today we're going to create an UDF (User-defined Function) in Golang that can be run inside Clickhouse query, this function will parse uuid v1 and return timestamp of it since Clickhouse doesn't have this function for now. Inspired from the python version with TabSeparated delimiter (since it's easiest to parse), UDF in Clickhouse will read line by line (each row is each line, and each text separated with tab is each column/cell value):
-
The 2024 Web Hosting Report
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules.
-
Choosing Between a Streaming Database and a Stream Processing Framework in Python
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.
-
Proton, a fast and lightweight alternative to Apache Flink
Proton is a lightweight streaming processing "add-on" for ClickHouse, and we are making these delta parts as standalone as possible. Meanwhile contributing back to the ClickHouse community can also help a lot.
Please check this PR from the proton team: https://github.com/ClickHouse/ClickHouse/pull/54870
-
1 billion rows challenge in PostgreSQL and ClickHouse
curl https://clickhouse.com/ | sh
-
We Executed a Critical Supply Chain Attack on PyTorch
But I continue to find garbage in some of our CI scripts.
Here is an example: https://github.com/ClickHouse/ClickHouse/pull/58794/files
The right way is to:
- always pin versions of all packages;
What are some alternatives?
Boost.Beast - HTTP and WebSocket built on Boost.Asio in C++11
loki - Like Prometheus, but for logs.
libwebsockets - canonical libwebsockets.org networking library
duckdb - DuckDB is an in-process SQL OLAP Database Management System
WebSocket++ - C++ websocket client/server library
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Mongoose - Embedded Web Server
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
rpc-websockets - JSON-RPC 2.0 implementation over WebSockets for Node.js and JavaScript/TypeScript
datafusion - Apache DataFusion SQL Query Engine