PostgreSQL: implementing JSONB column indexing affecting query performance on large datasets
I'm sure I'm missing something obvious here, but After trying multiple solutions online, I still can't figure this out. I'm currently working with important performance optimization when querying a large PostgreSQL database that has a JSONB column. The dataset contains over 500,000 rows, and I'm trying to query specific key-value pairs from this JSONB column. Despite having created an index on the JSONB column, the queries are still running very slowly. For example, when I run the following query: ```sql SELECT * FROM my_table WHERE data ->> 'status' = 'active'; ``` I'm experiencing execution times of several seconds, which is unacceptable for my application. I created the index using: ```sql CREATE INDEX idx_status ON my_table USING gin ((data -> 'status')); ``` However, the query planner seems to be ignoring the index, as I can see in the execution plan that it still opts for a sequential scan. I tried using `EXPLAIN ANALYZE` to diagnose this scenario, and the output shows that the index is not being utilized: ```sql EXPLAIN ANALYZE SELECT * FROM my_table WHERE data ->> 'status' = 'active'; ``` The output indicates that a sequential scan is taking place, leading to the slow performance. I've also ensured that the JSONB column analytics vacuuming is up-to-date using `VACUUM ANALYZE my_table;`. Is there something I might be missing, or is there a better way to index JSONB data for faster queries? Any advice on optimizing these queries would be greatly appreciated. How would you solve this? For context: I'm using Sql on Windows. I'd really appreciate any guidance on this.