MySQL 5.7: implementing JSON Data Type and Indexing Performance on Large Datasets
I'm trying to implement I'm having trouble with the performance of queries that involve a `JSON` data type in MySQL 5.7. My database contains large datasets (over 1 million records), and I've noticed that querying specific keys within my JSON columns is significantly slower than expected. For instance, when I run the following query: ```sql SELECT * FROM my_table WHERE JSON_EXTRACT(my_json_column, '$.key_name') = 'value'; ``` It takes several seconds to return results, and I suspect it's due to the lack of proper indexing. I tried creating a generated column and indexing it: ```sql ALTER TABLE my_table ADD COLUMN key_name VARCHAR(255) AS (JSON_UNQUOTE(JSON_EXTRACT(my_json_column, '$.key_name'))) STORED; CREATE INDEX idx_key_name ON my_table(key_name); ``` After adding the generated column and index, I expected improved performance, but the queries still seem slow. I also checked the execution plan using `EXPLAIN`, and it shows that it's still performing a full table scan. Iām unsure if Iām missing something in the index creation, or if there are other best practices for optimizing queries involving JSON data in MySQL. Any insights or alternative strategies would be greatly appreciated! Also, the current configuration of my server is `innodb_buffer_pool_size` set to 1GB, which I believe is relatively small for the data size. Should I consider increasing this buffer size as well? Looking forward to your guidance on how to tackle this scenario effectively. Thanks, I really appreciate it! Has anyone else encountered this?