Using Indexed Views for Faster Aggregations

Optimizing Aggregations with Indexed Views

Write a SQL query to create an indexed view for faster aggregations.

Solution:

-- Create an indexed view for aggregated sales data.
CREATE VIEW SalesSummary WITH SCHEMABINDING AS
SELECT CustomerID, SUM(Amount) AS TotalSales
FROM dbo.Orders
GROUP BY CustomerID;

-- Create a unique clustered index on the view.
CREATE UNIQUE CLUSTERED INDEX IX_SalesSummary
ON SalesSummary (CustomerID);

Explanation:

• Purpose of the Query :
• The goal is to demonstrate how indexed views can precompute and store aggregation results for faster queries.
• Key Components :
• CREATE VIEW WITH SCHEMABINDING: Creates a view tied to the underlying schema.
• CREATE UNIQUE CLUSTERED INDEX: Materializes the view for faster access.
• Why Use Indexed Views? :
• Indexed views improve performance for frequently executed aggregations.
• They reduce the computational cost of recalculating aggregates.
• Real-World Application :
• In sales analytics, indexed views store precomputed totals for quick reporting.

Notes:

• Indexed views consume storage and maintenance overhead.
• Use them for static or slowly changing data to avoid frequent updates.
• Important Considerations:
• Ensure compatibility with database features like partitioning.

For more Practice: Solve these Related Problems:

• Write a SQL query to create an indexed view that calculates the total sales per product category for faster reporting.
• Write a SQL query to create an indexed view that stores the count of active customers per region for quick analytics.
• Write a SQL query to create an indexed view that precomputes the average order value per customer for performance optimization.
• Write a SQL query to create an indexed view that aggregates monthly sales data by product for efficient trend analysis.

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