By Dennis Shasha, Philippe Bonnet
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Additional info for Database Tuning: Principles, Experiments, and Troubleshooting Techniques (The Morgan Kaufmann Series in Data Management Systems)
That algorithm follows two rules. 1. A transaction must hold a lock on x before accessing x . ) 2. A transaction must not acquire a lock on any item y after releasing a lock on any item x . ) The second rule may seem strange. After all, why should releasing a lock on, say, Ted’s account prevent a transaction from later obtaining a lock on Carol’s account? Consider the following example. 3 shows the original database state. Suppose further that there are two transactions. One transfers $1000 from Ted to Carol, and the other computes the sum of all deposits in the bank.
Operating systems allow processes to use semaphores for this purpose. Using a semaphore S, a thread (or process) can access a resource R with the assurance that no other thread (or process) will access R concurrently. A naive concurrency control mechanism for a database management system would be to have a single semaphore S. Every transaction would acquire S before accessing the database. Because only one transaction can hold S at any one time, only one transaction can access the database at that time.
Such a mechanism would be correct but would perform badly at least for applications that access slower devices such as disks. EXAMPLE: SEMAPHORE METHOD Suppose that Bob and Alice stepped up to different automatic teller machines (ATMs) serving the same bank at about the same time. Suppose further that they both wanted to make deposits but into different accounts. Using the semaphore solution, Alice might hold the semaphore during her transaction during the several seconds that the database is updated and an envelope is fed into the ATM.