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A transaction is a unit of program execution that accesses and possibly updates various data items. It represents the smallest unit of work that can be performed in a database.
In a lock-based protocol, locks are used to control access to data items. A transaction must acquire a lock before accessing data, ensuring that no other transaction can access the same data simultaneously.
The four main techniques for concurrency control are: Lock-based protocols, Timestamp ordering, Multiversion concurrency control, and Graph-based protocols.
Timestamp ordering uses timestamps to decide the order of conflicting operations. Each transaction is assigned a unique timestamp, and the system uses these timestamps to determine the sequence of operations.
The commit operation signifies that a transaction has completed successfully and all changes made during the transaction are permanently applied to the database.
When a transaction is aborted, it means that the transaction has been terminated before completion, and any changes made during the transaction are rolled back, leaving the database in its previous state.
The main operations in a transaction include: Read operation (to read data), Write operation (to update data), Commit operation (to finalize changes), and Abort operation (to cancel changes).
Locks help maintain data integrity by preventing multiple transactions from accessing the same data item simultaneously, which could lead to inconsistencies and data corruption.
Strict two-phase locking requires that all locks be held until the transaction commits or aborts, while non-strict two-phase locking allows a transaction to release locks before it commits.
Understanding concurrency control is crucial because it ensures that database transactions are executed in a way that maintains data consistency and integrity, especially in multi-user environments.
Multiversion concurrency control allows multiple versions of a data item to exist simultaneously, enabling transactions to read the most recent version without waiting for locks to be released.
A transaction requests a lock from the database management system before accessing a data item. If the lock is granted, the transaction can proceed; if not, it must wait until the lock is released.
Timestamps are used to establish a chronological order of transactions, allowing the system to resolve conflicts by ensuring that transactions are executed in the order of their timestamps.
The recovery process in DBMS is designed to restore the database to a consistent state after a failure, ensuring that all committed transactions are preserved and uncommitted transactions are rolled back.
Deadlocks occur when two or more transactions are waiting for each other to release locks, creating a cycle of dependencies that prevents any of the transactions from proceeding.
Strategies to prevent deadlocks include: Lock ordering, Timeout mechanisms, and Deadlock detection algorithms that periodically check for cycles in the wait-for graph.
The 'read' operation is significant because it allows a transaction to access the current value of a data item, which is essential for making decisions and performing updates within the transaction.
Isolation ensures that the operations of a transaction are not visible to other transactions until the transaction is committed, preventing interference and maintaining data consistency.
A conflict occurs when two transactions attempt to access the same data item simultaneously, and at least one of the operations is a write operation, potentially leading to inconsistencies.
A transaction log records all operations performed by transactions, including commits and aborts, which is essential for recovery and ensuring that the database can be restored to a consistent state.
View serializability ensures that the final state of the database is the same as if the transactions were executed in some serial order, while conflict serializability focuses on the order of conflicting operations.