Unverified50% confidenceTradeoffExact time
Pessimistic locking (SELECT ... FOR UPDATE) eliminates lost updates and race conditions by serializing access to contended rows, but it reduces throughput, increases latency, may exhaust the connection pool and introduces deadlock risk.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
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Related Claims
Unverified悲观锁（SELECT ... FOR UPDATE）在查询时锁定数据行，适合写多读少场景但性能较差75% similarUnverifiedTraditional relational databases use optimistic locking (version number comparison) or pessimistic locking (row-level locking) to prevent the lost update problem.69% similarUnverifiedImplementing the write gate as 'please only remember important information' in the prompt is a common mistake; the model may still bypass it in the next turn.66% similarUnverifiedCost reduction often comes with quality trade-offs: shorter context may cause the model to miss critical information, and more aggressive caching may introduce stale data.66% similarUnverifiedThe update allows asynchronous capability queries and middleware overrides to resolve to unknown rather than falling back to default values66% similar
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