1. What is Table Partitioning? 

• Table partitioning is a technique that divides a large table into smaller, more manageable pieces called partitions. Each partition stores a subset of the data based on a defined partition key. This technique enhances query performance by reducing the amount of data scanned and simplifies maintenance tasks. 

2. Types of Table Partitioning: 

• Range Partitioning: Data is divided into partitions based on ranges of values in a chosen column (e.g., date ranges). 
• List Partitioning: Data is divided into partitions based on specific values in a chosen column (e.g., categories). 
• Hash Partitioning: Data is distributed across partitions using a hash function, ensuring an even distribution. 
• Composite Partitioning: Combines multiple partitioning techniques to suit complex data distribution requirements. 

3. Benefits of Table Partitioning: 

• Improved Query Performance: Partition pruning allows the database to scan only relevant partitions, significantly reducing query execution time. 
• Efficient Data Management: Partitioning simplifies data archiving, purging, and retention tasks, making database maintenance more manageable. 
• Enhanced Load Balancing: Partitioning facilitates distribution of data across storage devices, enhancing I/O performance and scalability.