How to optimize SQL queries for better SEO data extraction in a Node.js application
I'm dealing with Building an application that focuses on SEO optimization, I've hit a snag with my SQL queries. My goal is to pull together a wide variety of data from multiple tables, but performance has become a concern, especially as our user base grows. Currently, I'm using MySQL with Node.js and Sequelize, but the extraction process takes too long when handling complex joins and large datasets. I've tried leveraging indexes on the columns involved in the joins, but the improvement isn’t as significant as I anticipated. For instance, I have a query like this: ```sql SELECT a.title, b.meta_description, c.visits FROM articles a JOIN seo_data b ON a.id = b.article_id JOIN traffic_data c ON a.id = c.article_id WHERE a.published = 1 ORDER BY c.visits DESC; ``` What’s frustrating is that the query execution time spikes, especially when filtering by publication status and ordering by visits. To combat this, I also attempted to simplify the data model by reducing the number of joins, but that only got me so far. I’ve considered options like caching the results or even using aggregate tables, but I’d like to avoid redundant data if possible. Has anyone tackled a similar issue in optimizing SQL query performance for SEO data extraction? Any best practices or specific techniques that might help with efficiency would be greatly appreciated! Also, if there are alternative libraries or approaches that can assist in this process, I’d love to hear about those too! Thanks for your help in advance! Is there a simpler solution I'm overlooking?