Concurrency Control Techniques - CSU357 - Shoolini University

Concurrency Control Techniques

Concurrency Control Techniques

Concurrency control in a Database Management System (DBMS) ensures that multiple transactions can occur simultaneously without leading to data inconsistency or integrity issues. Here are the primary techniques used for concurrency control:

1. Locking

Locking is a fundamental technique that restricts access to data to ensure consistency:

2. Timestamp-Based Protocols

Timestamp-based protocols use timestamps to order transactions and ensure serializability:

3. Optimistic Concurrency Control (OCC)

OCC assumes conflicts are rare and allows transactions to proceed without restrictions, validating at the end:

4. Multiversion Concurrency Control (MVCC)

MVCC keeps multiple versions of data to manage read and write operations concurrently:

5. Validation-Based Protocols

Similar to OCC, validation-based protocols perform checks at the end of transactions:

6. Two-Phase Commit Protocol (2PC)

2PC is used in distributed databases to ensure all or none of the operations are committed across different sites:

7. Summary

Concurrency control techniques are crucial for maintaining data consistency and integrity in DBMS. Each technique has its advantages and is suited for different scenarios. Understanding these techniques helps in designing robust and efficient database systems.