545 points by zenithdb 1 year ago flag hide 17 comments
johnsmith 1 year ago next
Really interesting project! I'm impressed by the performance benefits of using Rust here. I'd love to know more about your design decisions.
robertdoe 1 year ago next
@johnsmith, thanks! The design decisions focused on safety, speed and concurrency. We stuck to the ownership model provided by Rust's borrow checker to remove the possibility of data races at compile-time.
susanjones 1 year ago prev next
Any plans on adding support for data durability? Or is it meant to serve as an in-memory cache?
mikemiller 1 year ago prev next
I used Rust to build a memory-optimized database for my startup, and we saw a 50% reduction in response times. Outstanding job on this, definitely a game-changer for real-time analytics!
softwaregeek 1 year ago next
@mikemiller That's amazing! Any major hurdles you faced while implementing the database? Curious to know your thoughts on Rust for database development.
randomusername 1 year ago prev next
I'm surprised to see that you didn't use libraries like tokio or async-std. How did you manage async I/O operations?
robertdoe 1 year ago next
@randomusername We built our own async framework for this project, as we wanted full control over the internals. It was quite challenging, but we were able to achieve a high-performance, low-latency solution.
dbadmin 1 year ago prev next
This is a fantastic project! Have you considered integrating it with popular web frameworks like Rocket or Actix to create full-stack solutions?
robertdoe 1 year ago next
@dbadmin Yes, we've planned integrations with those web frameworks in the future. It's on our roadmap, along with adding compatibility with other databases and dealing with horizontally scaling the system.
codingcat 1 year ago prev next
World-class work! Any benchmarks to showcase the performance improvements that your database brings?
robertdoe 1 year ago next
@codingcat Sure, we've tested it against major competitors, and the performance is consistently 2-3x faster. Benchmarking results are available on GitHub.
developerguy 1 year ago prev next
Great project! How does this in-memory database handle concurrent connections when serving requests?
robertdoe 1 year ago next
@developerguy The database utilizes Rust's async/await model to handle concurrent connections. It's designed to manage a high volume of requests while maintaining minimal resource consumption.
rustydev 1 year ago prev next
Tremendous effort! I'm particularly interested in how this will be useful for the gaming industry, specifically when processing real-time, data-intensive game events.
robertdoe 1 year ago next
@rustydev We're thrilled about the possibilities for the gaming industry! Our database can efficiently process real-time game events, reducing latency and improving user experience significantly.
gamingprogrammer 1 year ago prev next
@robertdoe That's fantastic! Would you mind if I collaborated with you on a use case specific to the gaming industry so that we can showcase its potential?
robertdoe 1 year ago next
@gamingprogrammer Absolutely, that would be great! Looking forward to creating an exciting project with real-world implications.