How can I resolve concurrency issues in my database?

How can I resolve concurrency issues in my database?

Concurrency issues in databases occur when multiple transactions are executed simultaneously, leading to conflicts. You can resolve these by implementing locking mechanisms, using optimistic concurrency control, or applying transaction isolation levels.

What are locking mechanisms, and how do they work?

Locking mechanisms prevent multiple transactions from accessing the same data simultaneously. There are different types of locks, such as exclusive locks, which allow only one transaction to access the data, and shared locks, which allow multiple transactions to read but not modify the data.

Can you explain optimistic concurrency control?

Optimistic concurrency control assumes that conflicts are rare. It allows transactions to proceed without locking resources but checks for conflicts before committing. If a conflict is detected, the transaction is rolled back.

What are transaction isolation levels?

Transaction isolation levels define how transaction integrity is visible to other transactions. The main levels are Read Uncommitted, Read Committed, Repeatable Read, and Serializable, each providing different balances of performance and consistency.