Pessimistic locking prevents data conflicts by locking a record from the moment it’s read until the transaction completes. This approach is ideal for high-contention environments, such as financial systems or inventory management, where concurrent edits could cause serious errors. Developers use SQL’s `SELECT FOR UPDATE` or similar mechanisms to enforce it. Ultimately, it ensures strict data integrity, benefiting applications that prioritize consistency over concurrency.
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