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  1. 12 mar 2024 · In a database management system (DBMS), lock-based concurrency control (BCC) is used to control the access of multiple transactions to the same data item. This protocol helps to maintain data consistency and integrity across multiple users.

  2. 31 mar 2024 · Concurrency control involves procedures that manage the concurrent execution of database operations effectively. Why is concurrency control necessary in a distributed database?

  3. 3 lut 2024 · Concurrency control in databases often employs a locking mechanism to regulate access to shared resources, ensuring that multiple transactions can interact with data without compromising...

  4. 7 maj 2024 · Concurrency Control in DBMS is a procedure of managing simultaneous transactions ensuring their atomicity, isolation, consistency, and serializability. Several problems that arise when numerous transactions execute simultaneously in a random manner are referred to as concurrency control problems.

  5. Concurrency control is a mechanism where multiple transactions are executed at the same time without any data loss or data inconsistency in DBMS. It prevents conflicts and anomalies that can arise when various transactions access and modify the database parallelly.

  6. What is a consistent database state, and how is it achieved? A consistent database state is one in which all data integrity constraints are satisfied. To achieve a consistent database state, a transaction must take the database from one consistent state to another. (See the answer to question 1.) 3.

  7. In a multiprogramming environment where multiple transactions can be executed simultaneously, it is highly important to control the concurrency of transactions. We have concurrency control protocols to ensure atomicity, isolation, and serializability of concurrent transactions.

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