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SQL Server: Handling Date Ranges in Conditional Aggregation with Multiple Filters

๐Ÿ‘€ Views: 55 ๐Ÿ’ฌ Answers: 1 ๐Ÿ“… Created: 2025-06-12
sql-server aggregation left-join date performance SQL

I'm deploying to production and I tried several approaches but none seem to work... I've looked through the documentation and I'm still confused about I'm running into issues when trying to aggregate data based on specific date ranges while applying multiple filters in SQL Server. I have a table called `Sales` with columns `SaleDate`, `Amount`, and `Category`. I want to calculate the total sales amount for different categories over the last quarter, only including sales that are above a certain threshold. Here's the query I've been trying: ```sql SELECT Category, SUM(Amount) AS TotalSales FROM Sales WHERE SaleDate >= DATEADD(QUARTER, -1, GETDATE()) AND Amount > 100 GROUP BY Category; ``` However, this query returns the correct total but doesnโ€™t account for categories with no sales in the last quarter at all. I expected categories with no sales to show up with a total of `0`. I tried using a LEFT JOIN with a subquery to include all categories, but I ended up with NULL values for `TotalSales`, which makes it hard to interpret results. Here's what I attempted with the LEFT JOIN: ```sql SELECT c.Category, COALESCE(SUM(s.Amount), 0) AS TotalSales FROM (SELECT DISTINCT Category FROM Sales) AS c LEFT JOIN Sales AS s ON c.Category = s.Category AND s.SaleDate >= DATEADD(QUARTER, -1, GETDATE()) AND s.Amount > 100 GROUP BY c.Category; ``` This gives me a result set, but the `TotalSales` still remains `NULL` when there are no matching records for a category, which I then replaced with `0` using `COALESCE`. The query takes too long due to the left join and doesnโ€™t seem optimal. Could anyone suggest a more efficient way to achieve the desired result set while ensuring that categories with no sales are included with a total of `0`? Iโ€™m using SQL Server 2019. Thanks! Any help would be greatly appreciated! Thanks in advance! My development environment is CentOS. I'd be grateful for any help. I'm working in a Windows 10 environment.