Based on this data model, a formal definition for data inconsistency in data integration is provided.
基于该数据模型,对数据集成中的数据不一致性问题给出了明确的定义。
参考来源 - 数据集成技术若干问题的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
UR ensures the highest level of performance at the cost of some data inconsistency.
UR 以牺牲某些数据的不一致性为代价，确保了最高级别的性能。
Conversely, ur ensures the highest level of performance at the cost of some data inconsistency.
相反，UR保证了最高的性能，但以一部分数据并发性为代价。
So if you can deal with the above data inconsistency and really don't want JTA complexities for just one or a few methods, you should use local transactions.
因此如果你能处理好上述的数据不一致性，而且不想为了一个或少数几个方法引入JTA的复杂性，你应该使用本地事务。
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