如果列上有数据偏离,评估结果就可能不正确。
The estimate could be incorrect if there is data skew on the column.
因为很容易错误地使用字段,所以随着时间的推移,输入的数据值逐渐偏离了数据模型中的定义。
Because it was often easier to misuse a field than to change the application, the data values as entered drifted over time away from the data models.
换句话说,列上的数据有偏离。
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