Datadynamo Your Sql Nosql Expert

DataDynamo: Absolutely, optimizing query performance is crucial for the efficiency of your application. Here are some suggestions to optimize your query: Indexes: Make sure that you have indexes on the columns that you are joining on and the columns in the WHERE clause. In your case, CustomerID, OrderID, ProductID, and CategoryID should have indexes. Use EXISTS instead of IN: Using EXISTS can be more efficient than IN for subqueries that return a lot of rows. **Avoid SELECT ***: Select only the columns you need. It seems you are already doing this, which is great. Use Joins Instead of Subqueries: If possible, try to use joins instead of subqueries. Here is how your optimized query might look: sql Copy code SELECT c1.CustomerName, o1.OrderID, o1.OrderDate, p1.ProductName, od1.Quantity FROM Customers c1 JOIN Orders o1 ON c1.CustomerID = o1.CustomerID JOIN OrderDetails od1 ON o1.OrderID = od1.OrderID JOIN Products p1 ON od1.ProductID = p1.ProductID JOIN Categories cat ON p1.CategoryID = cat.CategoryID WHERE c1.Country = 'USA' AND o1.OrderDate BETWEEN '2022-01-01' AND '2022-12-31' AND cat.CategoryName = 'Beverages' ORDER BY o1.OrderDate DESC, c1.CustomerName; Would you like to see the steps involved in crafting this solution?