我记得在播客014中听到Joel Spolsky提到他几乎从未使用过外键(如果我没记错的话)。然而,对我来说,它们对于避免数据库中的重复和后续数据完整性问题非常重要。
人们是否有一些可靠的理由(以避免与Stack Overflow原则一致的讨论)?
编辑:“我还没有创建外键的理由,所以这可能是我真正建立一个外键的第一个理由。”
我记得在播客014中听到Joel Spolsky提到他几乎从未使用过外键(如果我没记错的话)。然而,对我来说,它们对于避免数据库中的重复和后续数据完整性问题非常重要。
人们是否有一些可靠的理由(以避免与Stack Overflow原则一致的讨论)?
编辑:“我还没有创建外键的理由,所以这可能是我真正建立一个外键的第一个理由。”
当前回答
“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.
其他回答
像许多事情一样,这是一种权衡。这是一个你想在哪里进行验证数据完整性的工作的问题:
(1)使用外键(单点配置为一个表,功能已经实现,经过测试,证明有效)
(2)把它留给数据库的用户(可能多个用户/应用程序更新同一个表),这意味着更多潜在的故障点和测试的复杂性)。
数据库执行(2)更有效,使用(1)更容易维护,风险更小。
它们会使删除记录变得更加麻烦——当其他表中存在外键违反约束的记录时,您就不能删除“主”记录。可以使用触发器进行级联删除。
如果不明智地选择主键,则更改该值将变得更加复杂。例如,如果我有我的“客户”表的PK作为人的名字,并使该键在“订单”表中为FK,如果客户想更改他的名字,那么这是一个巨大的痛苦……但这只是粗制滥造的数据库设计。
我相信使用火密钥的优点大于任何假定的缺点。
@ emphasis——这正是导致维护噩梦的心态。
为什么,哦,为什么要忽略声明性引用完整性(其中数据至少可以保证一致),而支持所谓的“软件强制”,这充其量是一种薄弱的预防措施。
我可以看到使用外键的一些原因(有人提到,孤立行很烦人),但我也从不使用它们。对于一个相对正常的DB模式,我不认为它们是100%需要的。约束是好的,但我认为通过软件来实施约束是更好的方法。
亚历克斯
One time when an FK might cause you a problem is when you have historical data that references the key (in a lookup table) even though you no longer want the key available. Obviously the solution is to design things better up front, but I am thinking of real world situations here where you don't always have control of the full solution. For example: perhaps you have a look up table customer_type that lists different types of customers - lets say you need to remove a certain customer type, but (due to business restraints) aren't able to update the client software, and nobody invisaged this situation when developing the software, the fact that it is a foreign key in some other table may prevent you from removing the row even though you know the historical data that references it is irrelevant. After being burnt with this a few times you probably lean away from db enforcement of relationships. (I'm not saying this is good - just giving a reason why you may decide to avoid FKs and db contraints in general)