MySQL GROUP_CONCAT and memory issues when aggregating large datasets in Django
I'm not sure how to approach I'm a bit lost with I am experiencing important memory issues when using MySQL's `GROUP_CONCAT` function to aggregate large datasets in my Django application..... The dataset I’m working with contains around 1 million rows, and I'm trying to concatenate values from a column based on a grouping from another column. When executing the query, the server runs out of memory and I receive an behavior: `SQLSTATE[HY000]: General behavior: 2008 Out of memory (Needed: 1234567)`. I have already tried increasing the `max_allowed_packet` size in my MySQL configuration, but it hasn't resolved the scenario. Here's the raw SQL query I'm executing: ```sql SELECT category, GROUP_CONCAT(product_name SEPARATOR ', ') as products FROM products GROUP BY category; ``` In my Django project, I’m using Django 3.2 along with MySQL 8.0. I have also checked the MySQL server settings and they seem adequate for handling such queries. I am using the `django.db.connection` to execute the raw SQL, but I wonder if there’s a more efficient way to handle this in Django or if I am missing something in my configuration. Any suggestions on how to optimize this query or manage memory better would be greatly appreciated. For reference, this is a production web app.