Imagine you are developing a system where multiple transactions are handled concurrently. How would you manage to prevent dirty reads and ensure data consistency?
- Encapsulating data access logic within stored procedures or functions to prevent direct access to data.
- Implementing database isolation levels like READ_COMMITTED or SERIALIZABLE to control the visibility of data changes to different transactions.
- Using synchronized methods in Java to lock the critical section of code to prevent concurrent access to the data.
- Utilizing database transactions and employing concepts like ACID (Atomicity, Consistency, Isolation, Durability) to ensure data integrity.
In a multi-transactional system, it's crucial to manage data consistency and prevent dirty reads. Database isolation levels help in achieving this. READ_COMMITTED ensures that a transaction can't read uncommitted changes from other transactions. SERIALIZABLE provides the highest level of isolation, preventing concurrent access to the same data. It's essential to understand these concepts for maintaining data integrity.
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