Partitioning is the process of dividing a large database table into smaller. Database partitioning can be broadly categorized into two types -
๐๐ผ๐ฟ๐ถ๐๐ผ๐ป๐๐ฎ๐น ๐ฃ๐ฎ๐ฟ๐๐ถ๐๐ถ๐ผ๐ป๐ถ๐ป๐ด - It divides large tables across multiple storage nodes based on region, such as East, West, and South.
๐ฉ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฎ๐น ๐ฃ๐ฎ๐ฟ๐๐ถ๐๐ถ๐ผ๐ป๐ถ๐ป๐ด - It separates sensitive data from core data based on access patterns.
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
๐ฃ๐ฎ๐ฟ๐๐ถ๐๐ถ๐ผ๐ป๐ถ๐ป๐ด ๐๐ถ๐๐ฎ๐ฑ๐๐ฎ๐ป๐๐ฎ๐ด๐ฒ๐
โ ๐๐ป๐ฐ๐ฟ๐ฒ๐ฎ๐๐ฒ๐ฑ ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐
๐ถ๐๐ in schema design and query logic
โ ๐๐บ๐ฝ๐ฟ๐ผ๐ฝ๐ฒ๐ฟ ๐ฝ๐ฎ๐ฟ๐๐ถ๐๐ถ๐ผ๐ป๐ถ๐ป๐ด can cause data skews or hotspots
โ ๐๐ฟ๐ผ๐๐-๐ฝ๐ฎ๐ฟ๐๐ถ๐๐ถ๐ผ๐ป ๐พ๐๐ฒ๐ฟ๐ถ๐ฒ๐ may be slower
โ ๐ ๐ฎ๐ถ๐ป๐๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐ฐ๐ผ๐ป๐๐ถ๐๐๐ฒ๐ป๐ฐ๐ across partitions is harder
