应用程序开发人员常见的数据库开发错误有哪些?


当前回答

非常大的事务,插入/更新大量数据,然后重新加载它。基本上,这是因为没有考虑数据库工作的多用户环境。 过度使用函数,特别是作为select和where子句中的结果,导致函数被反复调用以获取结果。我认为,这符合他们试图以他们更习惯的过程方式工作而不是充分利用SQL的一般情况。

其他回答

没有对应用程序中的数据库连接管理给予足够的重视。然后,您发现应用程序、计算机、服务器和网络都阻塞了。

根据我的经验: 不与有经验的dba沟通。

1 -在where子句中的值上不必要地使用函数,导致该索引未被使用。

例子:

where to_char(someDate,'YYYYMMDD') between :fromDate and :toDate

而不是

where someDate >= to_date(:fromDate,'YYYYMMDD') and someDate < to_date(:toDate,'YYYYMMDD')+1

在较小的程度上:不向需要函数索引的值添加函数索引……

2 -没有添加检查约束以确保数据的有效性。查询优化器可以使用约束,它们确实有助于确保您可以信任您的不变量。没有理由不使用它们。

3 -纯粹出于懒惰或时间压力而向表中添加未规范化的列。事情通常不是这样设计的,而是演变成这样的。最终的结果是,当您在未来的演进中受到丢失的数据完整性的困扰时,将会有大量的工作试图清理混乱。

想想看,重新设计一个没有数据的表是非常便宜的。一个有数百万条记录的表,没有完整性……重新设计并不便宜。因此,在创建列或表时执行正确的设计是可以分摊的。

4 -不是关于数据库本身,但确实令人讨厌。不关心SQL的代码质量。SQL是用文本表示的事实并不意味着可以将逻辑隐藏在大量的字符串操作算法中。完全有可能用文本编写SQL,使您的程序员同事能够读懂。

开发人员所犯的关键数据库设计和编程错误

Selfish database design and usage. Developers often treat the database as their personal persistent object store without considering the needs of other stakeholders in the data. This also applies to application architects. Poor database design and data integrity makes it hard for third parties working with the data and can substantially increase the system's life cycle costs. Reporting and MIS tends to be a poor cousin in application design and only done as an afterthought. Abusing denormalised data. Overdoing denormalised data and trying to maintain it within the application is a recipe for data integrity issues. Use denormalisation sparingly. Not wanting to add a join to a query is not an excuse for denormalising. Scared of writing SQL. SQL isn't rocket science and is actually quite good at doing its job. O/R mapping layers are quite good at doing the 95% of queries that are simple and fit well into that model. Sometimes SQL is the best way to do the job. Dogmatic 'No Stored Procedures' policies. Regardless of whether you believe stored procedures are evil, this sort of dogmatic attitude has no place on a software project. Not understanding database design. Normalisation is your friend and it's not rocket science. Joining and cardinality are fairly simple concepts - if you're involved in database application development there's really no excuse for not understanding them.

忘记在表之间建立关系。我记得当我刚开始在我现在的雇主工作时,我不得不清理这些东西。