Pessimistic concurrency locks data during update so that other users are not in danger of committing incompatible data changes.
保守式并发在更新期间锁定数据，使其他用户不会陷于提交不兼容数据更改的危险中。
Pessimistic concurrency is not a scalable option when users are interacting with data and causing records to be locked for relatively large periods of time.
如果用户与数据进行交互，会使记录锁定相对长的时间，保守式并发并不是可伸缩的选项。
If the application access pattern is predominately update access, then pessimistic approach might be advantageous in that it avoids optimistic concurrency update failures.
如果应用程序访问模式主要是更新数据，那么乐观锁定方法能有利地避免乐观并发性更新的失败。
If the application access pattern is predominately update access, then pessimistic approach might be advantageous in that it avoids optimistic concurrency update failures.
如果应用程序访问模式主要是更新数据，那么乐观锁定方法能有利地避免乐观并发性更新的失败。
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