This content originally appeared on DEV Community and was authored by Miahlouge
๐ฃ๐ฎ๐ฟ๐๐ถ๐๐ถ๐ผ๐ป๐ถ๐ป๐ด - Horizontal partitioning divides large tables across multiple storage nodes based on region, such as East, West, and South.
Vertical partitioning, on the other hand, separates sensitive data from core data based on access patterns.
๐๐ป๐ฑ๐ฒ๐ ๐ถ๐ป๐ด - Creates specialized lookup structures (B-Trees)
๐ฃ๐ฎ๐ฟ๐๐ถ๐๐ถ๐ผ๐ป๐ถ๐ป๐ด ๐๐ฒ๐ ๐๐ฒ๐ป๐ฒ๐ณ๐ถ๐๐
โ Distributes data across multiple storage nodes for better scalability.
โ Enhances data manageability by segmenting large datasets
โ Enables parallel query execution, improving performance
โ Optimizes physical data storage structure for efficient access
๐๐ป๐ฑ๐ฒ๐
๐ถ๐ป๐ด ๐๐ฒ๐ ๐๐ฒ๐ป๐ฒ๐ณ๐ถ๐๐
โ Fasts data retrieval by reducing search time
โ Enables efficient lookup structures without altering original data
โ Keeps the underlying data intact, ensuring data consistency
โ Optimizes query execution paths for faster access
This content originally appeared on DEV Community and was authored by Miahlouge
Miahlouge | Sciencx (2025-04-13T00:33:36+00:00) Database Optimization: Partitioning vs Indexing. Retrieved from https://www.scien.cx/2025/04/13/database-optimization-partitioning-vs-indexing/
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