Optimizing Complex JOINS with Materialized Views

[Robert Wolf]

I'm working on a complex query in MySQL that involves several JOINs across large tables. The query retrieves sales data with detailed product information and customer purchase history. While it functions correctly, the response time is unacceptably slow, especially during peak hours.

Here's what I've tried so far:

I've created indexes on the most frequently JOINed columns in all tables.
I've analyzed the query execution plan to identify potential bottlenecks.
I've tried rewriting the query to optimize the JOIN order.
However, the performance improvement hasn't been significant.

I'm considering using Materialized Views (MVs) to pre-compute some of the JOIN results and improve query speed. However, I'm unsure about the best approach for this scenario.