SQL Server Partitioning: How to Improve Query Performance on Large Tables
Introduction As databases grow, query performance on large tables can degrade significantly. SQL Server table partitioning is a powerful feature that helps manage and optimize performance for tables containing millions or billions of rows. By splitting a large table into smaller, more manageable pieces, you can achieve: ✅ Faster query performance (partition elimination) ✅ Easier maintenance (backup, index rebuilds on subsets) ✅ Improved data management (archiving old data efficiently) ✅ Better parallel processing (partition-level operations) In this guide, we’ll explore how to implement partitioning, best practices, and real-world optimization strategies. When Should You Use Partitioning? Partitioning is ideal for: ✔ Large fact tables (e.g., sales, logs, IoT data) ✔ Time-series data (archiving older data while keeping recent data active) ✔ Tables with frequent range-based queries (e.g., WHERE date BETWEEN '2023-01-01' AND '2023-12-31' ) ✔ Regulatory ...