Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Explain the relationship between transaction manager storage require- ment and transaction
size (number of operations per transaction) for a transaction manager using an optimistic
timestamp ordering for concurrency control.
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- When an optimistic approach to concurrency management is used, it is typical for transactions to take a long time to complete. Explain?arrow_forwardDetermine the top three problems that arise from processing transactions simultaneously. Exhibit how concurrency management may help these problems be avoided.arrow_forwardMany applications need to generate sequence numbers for each transaction. a. If a sequence counter is locked in two-phase manner, it can become a concurrency bottleneck. Explain why this may be the case. b. Many database systems support built-in sequence counters that are not locked in two-phase manner; when a transaction requests a sequence number, the counter is locked, incremented and unlocked. i. Explain how such counters can improve concurrency. ii. Explain why there may be gaps in the sequence numbers belonging to the final set of committed transactions.arrow_forward
- When an optimistic approach to concurrency management is used, transactions often take a very lengthy time to complete. Explain.arrow_forwardA transaction's processing time may be slowed when using optimistic concurrency control. Explain?arrow_forwardWhen an optimistic strategy for concurrency management is used, it is typical for transactions to take a significant amount of time to finish before being committed. Explain.arrow_forward
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