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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?
12 mar 2024 · Concurrency control provides a procedure that is able to control concurrent execution of the operations in the database. The fundamental goal of database concurrency control is to ensure that concurrent execution of transactions does not result in a loss of database consistency.
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.
In this chapter, students will learn: About database transactions and their properties What concurrency control is and what role it plays in maintaining the database’s integrity What locking methods are and how they work.
The following diagram illustrates a hierarchy of granularity from coarse (database) to fine (record). Intention-shared (IS): indicates that a shared lock(s) will be requested on some descendent nodes(s). Intention-exclusive (IX): indicates that an exclusive lock(s) will be requested on some descendent node(s).
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.
3 paź 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.
