但是由于用户很有可能在输入数据时出错，因此，验证逻辑应能立即用恰当的消息提示用户。
However, it is highly possible that the user will make a mistake in entering the correct data. Therefore, the validation logic should immediately prompt the user with an appropriate message.
在收集数据时，存在两个易出错的地方。
当尝试访问出错成员上被锁定的数据时，活跃成员上的应用会暂时处于锁定等待状态，而且默认情况下他们不会收到任何错误。
Applications on active members trying to access the locked data on the failing member are briefly in a lock-wait state, and by default they do not receive any errors.
但并非如此；计算将继续，就仿佛数据类型转换成功了一样，然后在进一步进行计算时发出错误，或者更糟：用遭破坏的数据完成计算，但不向外发出任何错误信号。
But it won't be; the computation will continue as if the cast had succeeded, signaling an error further into the computation or worse, completing with corrupt data but no outward signs of trouble.
原则上，创建此类代码不是特别困难，但可能让人感到有些枯燥无味，而且在编写时也容易出错，特别是在数据对象比较大并包含嵌入的对象和数组时。
In principle, creating such code is not particularly difficult, but can be somewhat tedious and error prone to write, especially if the data object is large and contains nested objects and arrays.
如果您费力去预加载数据集，应该同时将其复制，以避免出错时需要重新加载它。
If you go to the trouble to preload a set of data, it should be replicated to avoid having to re-load it on a failure.
例如，对于医疗数据，如果在更改格式时出错，并导致数据不可用，那么就是特别严重的问题。
In the case of medical data, for example, it's especially serious if you make a mistake when changing the format and the data becomes unusable.
从实例数据库中检索应用程序名称时出错。
An error occurred when retrieving the application names from the instance database.
这次连接的缓冲区溢出错误总数。当软件无法无法处理接收数据的速率时出现缓冲区溢出错误。
The total number of Buffer Overrun Errors for this connection. Buffer Overrun Errors when the software cannot handle the rate at which data is received.
创建数据库模板时出错。
当软件无法无法处理接收数据的速率时出现缓冲区溢出错误。
Buffer Overrun Errors when the software cannot handle the rate at which data is received.
由于结构突变的存在会影响数据平稳性的检验结果，导致在进行协整分析时得出错误的结论。
Since the existence of structural shifts would bias the result of stationary test, which could lead to mendacious result in cointegration analysis and misleading conclusions.
由于结构突变的存在会影响数据平稳性的检验结果，导致在进行协整分析时得出错误的结论。
Since the existence of structural shifts would bias the result of stationary test, which could lead to mendacious result in cointegration analysis and misleading conclusions.
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