Hello Ruby on Rails community,
I am currently working on a Ruby on Rails project, and I’m encountering some performance issues related to database queries. I’ve already implemented basic optimizations, but I believe there’s room for improvement.
Specifically, I’m interested in hearing about your experiences and best practices for optimizing database performance in Ruby on Rails applications. Are there any gems, techniques, or tools that you’ve found particularly effective in identifying and addressing performance bottlenecks?
Additionally, if you’ve encountered similar challenges and successfully overcome them, I would greatly appreciate any insights or advice you could share. I want to ensure that the application performs well, especially as the dataset grows.
Thank you in advance for your time and expertise.
Can you share some of the code behind your slowest-running or otherwise most expensive queries? Would be interested to have more context.
As well, consider how popular various pages are – and focus primarily on the ones that get the most traffic.
The suggestions given for indexing and caching are good, and with more concrete examples of what you’re facing, we can likely offer better solutions.
This looks more like spam disguised as a question.
My suggestion is to remove links unrelated to the discussion and explain more about the problem you are facing; probably, explain more about what “basic optimizations” you have done and the issues that persist after doing it.
It also looks to me like the OP was AI-generated, because of the vagueness of the question, the text style, and the irrelevant link to the RoR wikipedia page. The account was also brand-new (as was the account of the reply posted right afterwards).
It’s not Ai generated. I posted a query that was I faced in my project.
Hello. Which database do you use? There are a dozen or techniques to go through and it’s going to depend on the size of your tables, and your query volume. Generally you’ll want to monitor from the application level (APM) and only dive into database queries for key endpoints where you’ve ruled out other issues.
Alternative you can start from slow queries but you run the risk of improving the performance for something that’s called infrequently or doesn’t matter much to end users.