验证外键约束需要一些CPU时间，因此有些人省略外键以获得额外的性能。

“在添加记录之前，检查对应的记录是否存在于另一个表中”是业务逻辑。

这里有一些你不希望在数据库中使用它的原因:

If the business rules change, you have to change the database. The database will need to recreate the index in a lot of cases and this is slow on large tables. (Changing rules include: allow guests to post messages or allow users to delete their account despite having posted comments, etc). Changing the database is not as easy as deploying a software fix by pushing the changes to the production repository. We want to avoid changing the database structure as much as possible. The more business logic there is in the database the more you increase the chances of needing to change the databae (and triggering re-indexing). TDD. In unit tests you can substitute the database for mocks and test the functionality. If you have any business logic in your database, you are not doing complete tests and would need to either test with the database or replicate the business logic in code for testing purposes, duplicating the logic and increasing the likelyhood of the logic not working in the same way. Reusing your logic with different data sources. If there is no logic in the database, my application can create objects from records from the database, create them from a web service, a json file or any other source. I just need to swap out the data mapper implementation and can use all my business logic with any source. If there is logic in the database, this isn't possible and you have to implement the logic at the data mapper layer or in the business logic. Either way, you need those checks in your code. If there's no logic in the database I can deploy the application in different locations using different database or flat-file implementations.

有一个很好的理由不使用它们:如果你不了解它们的作用或如何使用它们。

在错误的情况下，外键约束可能导致事故的瀑布式复制。如果有人删除了错误的记录，恢复它可能会成为一项艰巨的任务。

同样，相反，当您需要删除某些内容时，如果设计不当，约束可能会导致各种锁阻止您的操作。

我听到的观点是前端应该有这些业务规则。当您一开始就不应该允许任何破坏约束的插入时，外键会“增加不必要的开销”。我同意吗?不，但我一直都是这么听说的。

编辑:我猜他指的是外键约束，而不是外键这个概念。

使用外键的原因:

you won't get Orphaned Rows you can get nice "on delete cascade" behavior, automatically cleaning up tables knowing about the relationships between tables in the database helps the Optimizer plan your queries for most efficient execution, since it is able to get better estimates on join cardinality. FKs give a pretty big hint on what statistics are most important to collect on the database, which in turn leads to better performance they enable all kinds of auto-generated support -- ORMs can generate themselves, visualization tools will be able to create nice schema layouts for you, etc. someone new to the project will get into the flow of things faster since otherwise implicit relationships are explicitly documented

不使用外键的原因:

you are making the DB work extra on every CRUD operation because it has to check FK consistency. This can be a big cost if you have a lot of churn by enforcing relationships, FKs specify an order in which you have to add/delete things, which can lead to refusal by the DB to do what you want. (Granted, in such cases, what you are trying to do is create an Orphaned Row, and that's not usually a good thing). This is especially painful when you are doing large batch updates, and you load up one table before another, with the second table creating consistent state (but should you be doing that sort of thing if there is a possibility that the second load fails and your database is now inconsistent?). sometimes you know beforehand your data is going to be dirty, you accept that, and you want the DB to accept it you are just being lazy :-)

我认为(我不确定!)大多数已建立的数据库都提供了一种指定外键的方法，这种方法不是强制的，只是一些元数据。由于不强制执行消除了不使用fk的所有理由，如果第二部分中的任何理由适用，您可能应该走那条路。

澄清数据库是一个没有主键或外键的商业数据库示例。

http://www.geekinterview.com/question_details/18869

有趣的是，技术文档花了很大的篇幅来解释表是如何关联的，用什么列来连接它们等等。

换句话说，它们本可以使用显式声明(DRI)连接表，但它们选择不这样做。

因此，澄清数据库充满了不一致，性能不佳。

但我认为它使开发人员的工作更容易，不必编写代码来处理引用完整性，例如在删除或添加之前检查相关行。

我认为，这就是关系数据库中没有外键约束的主要好处。它使开发变得更容易，至少从不顾一切的角度来看是这样。