切割模拟功能减少了切割数据出错的可能，也间接验证了相贯接头数学模型的确性。
The function of simulation of the software not only can restrain the chance of mistakes of cutting data, but also can testify the veracity of the pipe joints' numerical model indirectly.
原因一般是读取或写入数据出错，可能是光盘质量问题或光驱读盘能力不佳，或写入硬盘出现错误。
Reason is usually read or write data error, may be CD quality problems or disk drive read ability not beautiful, or written to the hard disk error.
利用一个以上的校验位，汉明码不仅可以验证数据是否有效，还能在数据出错的情况下指明错误位置。
Use more than one parity bit, Hamming codes can not only verify the data is valid, but also in case of error in the data indicated the wrong location.
在过去，如果在流程中数据出错，电子商务要在数天甚至数月以后才能收到不能投递的地址或是电子邮件。同时，客户还不明白他们的帐户出了什么问题。
In the past, if any data errors occur during the process, e-commerce got undeliverable addresses or e-mails days or even months later; meanwhile, customers wondered what happened to their account.
磁盘如果过载，数据就会出错。
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.
乍一看该技术也许看起来有点令人生厌，但是对于错误地删除掉敏感数据的用户来说，这无疑把出错的几率降到最低。
The technique might look a bit annoying at first glance, but it clearly minimizes the error rate for users who delete sensitive data by mistake.
在非阻塞连接的情况下，返回0表示没有可以获得的数据，返回-1表示连接出错。
On a non-blocking connection, a return of 0 means no data was available, and -1 indicates an error.
目标将返回检测数据，告知启动程序哪里出错。
The target returns the sense data to indicate what went wrong.
创建数据映射可能是非常繁琐且很容易出错的任务，从而突出了重复测试的重要性。
Creating data maps can be a tedious and error prone task, which highlights the importance of repeated testing.
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.
因为测序是容易出错的，科学家必须多次测序以生成一个精确的数据。
Because sequencing is prone to errors, scientist must sequence a number of times to generate an accurate read.
只有出错成员正在更新过程中的数据在恢复完成之前暂时不可用。
Only data in the process of being updated on the failing member is temporarily unavailable until recovery is complete.
通过表单的手工且易出错的数据集合任务必须同业务流程、应用程序及数据存储整合起来。
The manual, error-prone task of data collection via forms must be integrated with business processes, applications, and data stores.
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.
例如，我们很容易想到为RSS或者其它XML输出的数据，亦或是类似登陆框或者出错页面来编写可复用的视图。
It’s quite conceivable to build re-usable views for rendering RSS feeds or other XML output or a specific page display view like a login form or error page for example.
即使有正确的管理和有效的Web设计，维护各个网页中事件日历数据的各个副本也是一项花费大量时间和容易出错的任务。
Even with proper management and efficient Web design, maintaining separate copies of event calendar data on separate pages is a time-consuming and error-prone process.
在收集数据时，存在两个易出错的地方。
开源是最近大量应用对象数据库的巨大推动力，开发者们实际也一直喜欢ODBMS开源的理念，而购买像Oracle这样的RDBMS的决定，往往不是DBA做出的，更多的是管理者来决定的，他们有时是因为数据抽象这样的需求而做出正确的决定，或由于某些原因做出错误决定（如在打高尔夫球的时候签下了合同）。
open source is a big driver in the recent surge of adoption of object databases. Developers have actually always liked the idea of an ODBMS.
您不用再去做其他任何事，以让您的应用软件在运行时与数据库联系起来，这种操作通常是复杂，且容易出错的。
You do not have to do anything else to get your application to connect to the database at run time, which is often a complex and error-prone task.
服务操作可以设计成使用单个输入、输出以及出错信息，但是这并不是必要的，并且可能会导致意料之外的标志数据耦合。
Service operations can be designed to use single input, output, and fault messages, but this is not necessary, and can result in undesirable stamp data coupling.
录入过程中很容易出错，盲目地把数据从一个系统拷贝到另一个系统中就更容易出错。
It's easy to make a typing mistake, especially when you're blindly copying data from one system to another.
如果手动执行，管理来自多个数据源的几个UMF文件的优先级可能是一个复杂而且易于出错的任务。
Managing the priorities for several UMF files from a number of data sources can be a complicated and error-prone task if performed manually.
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.
我要强调的是像数据丢失和程序出错这样的关键问题。
I'm talking about major problems like data loss and program malfunction.
统计数据冲突：不一致的统计数据可能会导致优化器对成本评估错误，作出错误的访问计划评估决策。
Conflicting statistics: Inconsistent statistics may cause the optimizer to derive the wrong estimated costs and to make the wrong decision on access plan assessment.
统计数据冲突：不一致的统计数据可能会导致优化器对成本评估错误，作出错误的访问计划评估决策。
Conflicting statistics: Inconsistent statistics may cause the optimizer to derive the wrong estimated costs and to make the wrong decision on access plan assessment.
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