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MySQL 5.7 - implementing Handling JSON Data and Indexing for Performance

👀 Views: 0 đŸ’Ŧ Answers: 1 📅 Created: 2025-06-16
mysql json performance SQL

I've looked through the documentation and I'm still confused about I've been banging my head against this for hours... After trying multiple solutions online, I still can't figure this out. I'm trying to optimize a query that involves filtering large JSON columns in MySQL 5.7. I have a table named `user_data` that stores user profiles, and one of the columns, `preferences`, is of type JSON. The structure of the JSON is somewhat complex, and I'm working with performance optimization when querying specific keys within that JSON. For example, I have the following query that retrieves users based on their preferences: ```sql SELECT * FROM user_data WHERE JSON_UNQUOTE(JSON_EXTRACT(preferences, '$.notifications.email')) = 'true'; ``` This query runs fine for a small dataset, but as the number of records increases, it's becoming significantly slower. I've tried adding an index on the `preferences` column like this: ```sql ALTER TABLE user_data ADD INDEX idx_email_notifications ((JSON_UNQUOTE(JSON_EXTRACT(preferences, '$.notifications.email')))); ``` However, I receive an behavior saying "Function-based indexes are not supported in this version of MySQL". I've also considered using a generated column for the email notification preference: ```sql ALTER TABLE user_data ADD COLUMN email_notifications VARCHAR(5) AS (JSON_UNQUOTE(JSON_EXTRACT(preferences, '$.notifications.email'))) STORED; ``` After adding the generated column, I created an index on it: ```sql CREATE INDEX idx_email_notifications ON user_data(email_notifications); ``` Now the query runs much faster, but I'm curious if there are any best practices I should follow when working with JSON data in MySQL 5.7. Are there specific considerations for indexing, or alternative approaches I might be missing? Also, is there a way to ensure that the generated columns remain updated without impacting performance? Any tips would be greatly appreciated! Any ideas what could be causing this? This is part of a larger API I'm building. Has anyone else encountered this? For reference, this is a production web app. I'm open to any suggestions.