How to Optimize SQL Queries for SEO-related Analytics in MySQL?
I'm writing unit tests and I'm wondering if anyone has experience with After trying multiple solutions online, I still can't figure this out..... I've searched everywhere and can't find a clear answer. This might be a silly question, but Need to create efficient SQL queries for an analytics dashboard focusing on SEO metrics. The application involves aggregating data from multiple tables related to page views, session duration, and keyword performance. Currently, the analytics run slow, especially when aggregating large datasets over several months. Here’s the query I’m working with: ```sql SELECT p.page_id, COUNT(s.session_id) AS total_sessions, SUM(s.duration) AS total_duration, GROUP_CONCAT(DISTINCT k.keyword) AS keywords FROM pages p JOIN sessions s ON p.page_id = s.page_id JOIN keywords k ON p.page_id = k.page_id WHERE s.created_at BETWEEN '2023-01-01' AND '2023-10-31' GROUP BY p.page_id ORDER BY total_sessions DESC; ``` Profiling the application showed that this query often takes over 5 seconds to return results, which is unacceptable for our dashboard. I’ve tried creating indexes on `sessions.created_at` and `pages.page_id`, but it hasn’t made a significant difference. Additionally, I experimented with breaking down the query into smaller parts using temporary tables, but that only improved performance marginally. I read about MySQL’s `EXPLAIN` command and used it to analyze the execution plan, noticing that the joins are causing the main slowdown. What strategies can I apply to optimize this query further? Are there specific indexing strategies or query refactoring techniques that might help here? The version of MySQL I'm using is 8.0.26. Any insights on improving the performance while maintaining accurate SEO data collection would be greatly appreciated. I'm working on a service that needs to handle this. I'd really appreciate any guidance on this. My development environment is Ubuntu. I'd really appreciate any guidance on this. I'm working on a web app that needs to handle this. Am I missing something obvious? This is happening in both development and production on Windows 10. Is this even possible? The stack includes Sql and several other technologies. Thanks for taking the time to read this!