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In general, choosing a coarse granularity (a small number of locks, each protecting a large segment of data) results in less lock overhead when a single process is accessing the protected data, but worse performance when multiple processes are running concurrently.<br><br><br> There are mechanisms employed to manage the actions of multiple concurrent users on a database-the purpose is to prevent lost updates and dirty reads. Granular locking where each process must hold multiple locks from a common set of locks can create subtle lock dependencies. It improves database performance by reducing the amount of locking required, thereby reducing the load on the database server. What is the highest amount of money that you would spend on rent? 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