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

外键对于任何关系数据库模型都是必不可少的。

其他回答

数据结构设计的一个好的原则是确保表或对象的每个属性都服从于一个很好理解的约束。这很重要,因为如果您或您的程序可以依赖数据库中的有效数据,那么就不太可能出现由坏数据引起的程序缺陷。您还可以花费更少的时间来编写处理错误条件的代码,并且更有可能预先编写错误处理代码。

在许多情况下,这些约束可以在编译时定义,在这种情况下,您可以编写一个筛选器来确保属性总是在范围内,或者尝试保存属性失败。

然而,在许多情况下,这些约束可以在运行时更改。例如,您可能有一个“cars”表,其属性为“colour”,初始值为“red”、“green”和“blue”。在程序执行期间,可以将有效的颜色添加到初始列表中,并且添加的新“汽车”可以采用最新颜色列表中的任何颜色。此外,您通常希望这个更新的颜色列表在程序重新启动后仍然有效。

To answer your question, it turns out that if you have a requirement for data constraint that can change at run-time, and those changes must survive a program restart, foreign keys are the simplest and most concise solution to the problem. The development cost is the addition of one table (e.g. "colours", a foreign key constraint to the "cars" table, and an index), and the run-time cost is the extra table lookup for the up-to-date colours to validate the data, and this run-time cost is usually mitigated by indexing and caching.

如果您不使用外键来满足这些需求,那么您必须编写软件来管理列表、查找有效的条目、将其保存到磁盘、如果列表很大的话有效地组织数据、确保对列表的任何更新都不会破坏列表文件、在有多个读取器和/或写入器的情况下提供对列表的串行访问,等等。例如,你需要实现大量的RDBMS功能。

使用外键的其他原因: —可以更好地重用数据库

不使用外键的其他原因: —您试图通过减少重用来锁定客户。

我经常使用它们,但后来我为金融系统制作数据库。数据库是应用程序的关键部分。如果金融数据库中的数据不是完全准确的,那么无论你在代码/前端设计上投入多少精力都没有意义。你只是在浪费时间。

还有一个事实是,多个系统通常需要直接与数据库接口-从其他系统只是读取数据(Crystal Reports)到系统插入数据(不一定使用我设计的API;它可能是由一个刚刚发现VBScript并拥有SQL框SA密码的愚蠢的经理编写的)。如果数据库不能像白痴一样证明它可能是,好吧,再见数据库。

如果您的数据很重要,那么可以使用外键,创建一套存储过程来与数据交互,并创建最强大的DB。如果您的数据不重要,那么为什么要开始创建数据库呢?

Quite often we receive the errors with FK constraints Cannot add or update a child row: a foreign key constraint fails Suppose there are two tables inventory_source and contract_lines, and we are referring inventory_source_id in contract_lines from inventory_source and suppose we want to delete record from inventory_source and the record is already present in contract_lines or we want to delete the PK column from Base table, we get errors for FK constraints, we can avoid it using the steps jotted below.

CREATE TABLE inventory_source (
inventory_source_id int(11) NOT NULL AUTO_INCREMENT,
display_name varchar(40) NOT NULL,
state_id int(11) NOT NULL,
PRIMARY KEY (inventory_source_id),
KEY state_id (state_id),
CONSTRAINT ba_inventory_source_state_fk FOREIGN KEY (state_id) REFERENCES   ba_state (state_id)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;

CREATE TABLE contract_lines(
contract_line_id int(11) NOT NULL AUTO_INCREMENT,
inventory_source_id int(11) NULL ,
PRIMARY KEY (contract_line_id),
UNIQUE KEY contract_line_id (contract_line_id),
KEY AI_contract_line_id (contract_line_id),
KEY contract_lines_inventory_source_fk (inventory_source_id),
CONSTRAINT contract_lines_inventory_source_fk FOREIGN KEY       (inventory_source_id) REFERENCES ba_inventory_source (inventory_source_id)
) ENGINE=InnoDB AUTO_INCREMENT=135 DEFAULT CHARSET=utf8 ;

我们可以采用以下步骤克服它:-

Delete or update the row from the inventory_source will automatically delete or update the matching rows in the contract_lines table and this is known as cascade delete or update. Another way of doing it is setting the column i.e inventory_source_id in the contract_lines table to NULL, when a record corresponding to it is deleted in the inventory_source table. We can restrict the parent table for delete or update in other words one can reject the delete or update operation for the inventory_source table. Attempt to delete or update a primary key value will not be permitted to proceed if there is a related foreign key value in the referenced table.

Wowowo... Answers everywhere. Actually this is the most complicated topic I have ever encountered. I use FKs when they are needed but on production environment I rarely use them. Here is my whys I rarely use the Fks: 1. Most of the time I am dealing with huge data on small server to improve performance I need to remove the FKs. Because when you have FKs and you do Create, Update or Delete the RDBMS first check if there no constraint violation and if you have huge DB that could be something fatal 2. Sometimes I need to import data from others places and because I am not too sure of how well structured they are, I simply drop the FKs. 3. In case you are dealing with multiple DBs and having reference key in an other DB will not go well(as for now) until you remove the FKs (cross database relations) 4. They was also a case when you write an application which will seat on whatever RDBMS or you want your DB to be exported and imported in any RDBMS system in this case each specific RDBMS system has his own way of dealing with FKs and you will probably be obliged to drop the use of FKs. 5. If you user RDBMS platform (ORMs) you know that some of them offer their own mapping depending on the solution and technicality their offer and you don't care about creating the tables and their FKs. 6. Before the last point will be knowledge to deal with DB that has FKs and the knowledge to write an application that does all the Job without the need of FK 7. Lastly as I started saying it all depend on your scenario, in case knowledge is not a barrier. You will always want to run the best of the best you can get!

谢谢大家!