concurrent
Concurrency is the ability to perform multiple independent tasks simultaneously in a computer system. Through shared resources and concurrent execution, the system can improve performance and efficiency. However, concurrency can raise some problems, such as race conditions and resource conflicts, requiring appropriate concurrency control mechanisms to ensure correctness.
Data consistency
Data consistency refers to the fact that the data in the database is always in a correct, complete and valid state. In a concurrent environment, multiple transactions may read and write to the database at the same time, so data consistency is required. Methods to achieve data consistency include locking mechanisms, transaction isolation levels, and concurrency control algorithms.
Transaction and ACID properties
Transactions are a series of operations performed in a database, serving as an integral unit of work. Transactions have ACID attributes to ensure the reliability and consistency of data operations:
Atomicity:All operations in the transaction will either be executed successfully or will be rolled back and will not be partially executed.
Consistency:Before and after the transaction is executed, the integrity constraints of the database should be consistent and will not violate any constraints.
Isolation:Concurrently executed transactions should be isolated from each other, and each transaction should not perceive the existence of other transactions.
Durability:Once the transaction is committed, the result should be permanently stored in the database and will not be lost even if a system failure occurs.
The goal of a transaction is to ensure the integrity and consistency of the data, by processing a series of operations as a single atomic unit. If any operation in the transaction fails, the entire transaction will be rolled back to maintain the consistency of the data. In a concurrent environment, the correct use of transactions and concurrency control mechanisms is the key to ensuring data consistency.
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