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SQL

SQL: Use Indexed Views to Cache Complex Query Results

- 19.03.26 - ErcanOPAK

⚡ Materialized Views in SQL Server

Complex aggregation query taking 10 seconds? Create indexed view. Query becomes instant. Data stays fresh automatically.

Problem: Slow Aggregate Query

-- This runs every time, slow on large tables
SELECT 
    CategoryId,
    COUNT(*) AS ProductCount,
    AVG(Price) AS AvgPrice,
    SUM(Stock) AS TotalStock
FROM Products
GROUP BY CategoryId;

-- 10 seconds on 10M rows

Solution: Indexed View

-- Step 1: Create view with SCHEMABINDING
CREATE VIEW dbo.ProductStats
WITH SCHEMABINDING
AS
SELECT 
    CategoryId,
    COUNT_BIG(*) AS ProductCount,
    SUM(Price) AS TotalPrice,
    SUM(Stock) AS TotalStock
FROM dbo.Products
GROUP BY CategoryId;
GO

-- Step 2: Create clustered index
CREATE UNIQUE CLUSTERED INDEX IX_ProductStats
ON dbo.ProductStats(CategoryId);
GO

-- Step 3: Query it like a table
SELECT * FROM ProductStats;

-- Now: < 0.1 seconds!

🎯 How It Works

  • Materialized: Results stored physically on disk
  • Auto-updated: When base tables change, view updates
  • Indexed: Query optimizer uses indexes
  • Transparent: Apps don't know it's a view

⚠️ Requirements

  • WITH SCHEMABINDING required
  • Must use COUNT_BIG not COUNT
  • No OUTER joins (INNER only)
  • No subqueries in SELECT
  • First index must be UNIQUE CLUSTERED

💡 When to Use

  • Heavy aggregations (COUNT, SUM, AVG)
  • Complex joins queried frequently
  • Reporting queries on large tables
  • Dashboard queries that don't change much

"Dashboard aggregation query took 12 seconds. Created indexed view. Now instant. Reports load in real-time. Users think we upgraded servers."

— Database Administrator

Related posts:

Why COUNT(*) Can Be Slow on Large Tables

Drag and Drop objects from Object Explorer to the Query Window in SQL Server

SQL Indexing: Why Your Query Ignores Indexes and Scans 10 Million Rows Instead

Post Views: 6

Post navigation

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