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SQLite: guide with Aggregate Functions Returning Unexpected Results When Grouping by Multiple Columns

👀 Views: 608 đŸ’Ŧ Answers: 1 📅 Created: 2025-07-07
sqlite sql aggregate-functions

After trying multiple solutions online, I still can't figure this out. After trying multiple solutions online, I still can't figure this out. I'm experiencing an unexpected behavior with aggregate functions in SQLite 3.37.0. When trying to group results by multiple columns, the output doesn't seem to reflect the actual data distribution. I'm using the following query to summarize sales data from my `sales` table: ```sql SELECT product_id, store_id, COUNT(*) AS total_sales FROM sales GROUP BY product_id, store_id; ``` The `sales` table has three columns: `id`, `product_id`, and `store_id`. I expect to get a count of sales per product per store, but sometimes I see counts that don't match the actual records in the table. For example, I have 10 entries for `product_id = 1` and `store_id = 2`, but the query returns a total of 8 for that combination. I've double-checked the data for duplicates and it appears consistent. I also tried using just one column in the `GROUP BY` clause, and the results seem accurate: ```sql SELECT product_id, COUNT(*) AS total_sales FROM sales GROUP BY product_id; ``` The counts return as expected. I've also looked into potential NULL values in `store_id`, but there are no NULL entries in this case. Is there a limitation I might be hitting with SQLite, or is there a best practice I should follow when using multiple columns in `GROUP BY`? Any insights would be greatly appreciated! I'm using Sql 3.11 in this project. Any advice would be much appreciated. I'm working with Sql in a Docker container on CentOS.