在设计表时,我养成了一个习惯,即有一个唯一的列,并将其作为主键。这可以通过三种方式实现,具体取决于需求:

自动递增的标识整数列。 唯一标识符(GUID) 短字符(x)或整数(或其他相对较小的数字类型)列,可作为行标识符列

数字3将用于相当小的查找,主要是读取表,这些表可能有一个唯一的静态长度字符串代码,或一个数值,如年或其他数字。

在大多数情况下,所有其他表都有一个自动递增的整数或唯一标识符主键。

问题:-)

我最近开始使用一些数据库,这些数据库没有一致的行标识符,而且主键目前聚集在各个列之间。一些例子:

datetime /字符 datetime /整数 datetime / varchar 字符/ nvarchar / nvarchar

这有有效的理由吗?我总是为这些情况定义一个标识符或唯一标识符列。

此外,还有许多根本没有主键的表。如果有的话,合理的理由是什么?

我试图理解为什么桌子被设计成这样,对我来说,它似乎是一个很大的混乱,但也许有很好的理由。

第三个问题在某种程度上帮助我解析答案:在使用多个列组成复合主键的情况下,与代理/人工键相比,这种方法是否有特定的优势?我主要考虑的是性能、维护、管理等方面。


当前回答

主键有什么特别之处?

模式中表的用途是什么?表中键的作用是什么?主键有什么特别之处?围绕主键的讨论似乎忽略了一点,即主键是表的一部分,而表是模式的一部分。对表和表关系最有利的应该驱动所使用的键。

Tables (and table relationships) contain facts about information you wish to record. These facts should be self-contained, meaningful, easily understood, and non-contradictory. From a design perspective, other tables added or removed from a schema should not impact on the table in question. There must be a purpose for storing the data related only to the information itself. Understanding what is stored in a table should not require undergoing a scientific research project. No fact stored for the same purpose should be stored more than once. Keys are a whole or part of the information being recorded which is unique, and the primary key is the specially designated key that is to be the primary access point to the table (i.e. it should be chosen for data consistency and usage, not just insert performance).

ASIDE: The unfortunately side effect of most databases being designed and developed by application programmers (which I am sometimes) is that what is best for the application or application framework often drives the primary key choice for tables. This leads to integer and GUID keys (as these are simple to use for application frameworks) and monolithic table designs (as these reduce the number of application framework objects needed to represent the data in memory). These application driven database design decisions lead to significant data consistency problems when used at scale. Application frameworks designed in this manner naturally lead to table at a time designs. “Partial records” are created in tables and data filled in over time. Multi-table interaction is avoided or when used causes inconsistent data when the application functions improperly. These designs lead to data that is meaningless (or difficult to understand), data spread over tables (you have to look at other tables to make sense of the current table), and duplicated data.

It was said that primary keys should be as small as necessary. I would says that keys should be only as large as necessary. Randomly adding meaningless fields to a table should be avoided. It is even worse to make a key out of a randomly added meaningless field, especially when it destroys the join dependency from another table to the non-primary key. This is only reasonable if there are no good candidate keys in the table, but this occurrence is surely a sign of a poor schema design if used for all tables.

It was also said that primary keys should never change as updating a primary key should always be out of the question. But update is the same as delete followed by insert. By this logic, you should never delete a record from a table with one key and then add another record with a second key. Adding the surrogate primary key does not remove the fact that the other key in the table exists. Updating a non-primary key of a table can destroy the meaning of the data if other tables have a dependency on that meaning through a surrogate key (e.g. a status table with a surrogate key having the status description changed from ‘Processed’ to ‘Cancelled’ would definitely corrupt the data). What should always be out of the question is destroying data meaning.

Having said this, I am grateful for the many poorly designed databases that exist in businesses today (meaningless-surrogate-keyed-data-corrupted-1NF behemoths), because that means there is an endless amount of work for people that understand proper database design. But on the sad side, it does sometimes make me feel like Sisyphus, but I bet he had one heck of a 401k (before the crash). Stay away from blogs and websites for important database design questions. If you are designing databases, look up CJ Date. You can also reference Celko for SQL Server, but only if you hold your nose first. On the Oracle side, reference Tom Kyte.

其他回答

我遵循一些规则:

Primary keys should be as small as necessary. Prefer a numeric type because numeric types are stored in a much more compact format than character formats. This is because most primary keys will be foreign keys in another table as well as used in multiple indexes. The smaller your key, the smaller the index, the less pages in the cache you will use. Primary keys should never change. Updating a primary key should always be out of the question. This is because it is most likely to be used in multiple indexes and used as a foreign key. Updating a single primary key could cause of ripple effect of changes. Do NOT use "your problem primary key" as your logic model primary key. For example passport number, social security number, or employee contract number as these "natural keys" can change in real world situations. Make sure to add UNIQUE constraints for these where necessary to enforce consistency.

关于代理键和自然键,我参考了上面的规则。如果自然键很小并且永远不会改变,则可以将其用作主键。如果自然键很大或可能改变,我使用代理键。如果没有主键,我仍然会创建一个代理键,因为经验表明,您总是会向模式添加表,并希望在适当的位置放置一个主键。

以下是我拥有25年以上开发经验后得出的经验法则。

所有表都应该有一个单列主键auto 增量。 将它包含在任何意味着可更新的视图中 主键在应用程序上下文中不应该有任何意义。这意味着它不应该是SKU、帐号、员工id或对应用程序有意义的任何其他信息。它只是一个与实体相关联的唯一键。

主键由数据库用于优化目的,应用程序除了用于标识特定实体或与特定实体相关外,不应该使用主键。

始终使用单一值主键使得执行upsert非常简单。

Favor multiple indices on single columns over multi-column indices. For example, if you have a two column key, favor creating an index on each column over creating a two column index. If we create a multi-column key on firstname + lastname, we can't do indexed lookups on lastname without providing a firstname as well. Having indices on both columns allows the optimizer to perform indexed lookups on either or both columns regardless of how they are expressed in your WHERE clause. If your tables are massive, explore partitioning the table into segments based on the most prominent search criteria. If you have a table that has a significant number of Id fields in it, consider removing all except the primary key to a single table which has an id (PK), an org_id (FK to original table) and an id_type column. Create indices for all columns on the new table and relate it to the original table. In this manner, you can now perform indexed lookups of any number of ids using only a single index.

对我来说,自然键和人工键的区别在于数据库中需要多少业务逻辑。社会安全号码(SSN)就是一个很好的例子。

“我的数据库中的每个客户都将而且必须有SSN。”搞定,把它设为主键,搞定。只要记住,当你的业务规则改变时,你就完蛋了。

我自己不喜欢自然键,因为我有改变业务规则的经验。但是如果您确定它不会改变,那么它可能会阻止一些关键的连接。

除了这些好答案,我想分享一篇我刚读过的好文章,伟大的主键辩论。

这里引用几点:

开发人员在为每个表选择主键时必须应用一些规则:

主键必须唯一地标识每条记录。 记录的主键值不能为空。 在创建记录时,主键-值必须存在。 主键必须保持稳定—您不能更改主键字段。 主键必须紧凑且包含尽可能少的属性。 主键值不能更改。

自然键(倾向于)打破规则。代理键符合规则。(你最好通读那篇文章,它值得你花时间!)

我怀疑原始数据结构的设计者需要Steven A. Lowe的卷起报纸疗法。

顺便说一句,guid作为主键可能会影响性能。我不推荐。