将SQL保存在c#源代码或Stored Procs中有哪些优点/缺点?我一直在和一个朋友讨论这个问题,我们正在做一个开源项目(c# ASP。网论坛)。目前,大多数数据库访问都是通过在c#中构建内联SQL并调用SQL Server DB来完成的。所以我在试着确定,对于这个特定的项目,哪个是最好的。

到目前为止,我有:

in Code的优点:

更容易维护-不需要运行SQL脚本来更新查询 更容易移植到另一个DB -没有pros到移植

存储Procs的优点:

性能 安全


当前回答

我喜欢存储过程,不知道有多少次我能够使用存储过程对应用程序进行更改,而不会对应用程序产生任何停机时间。

作为Transact SQL的忠实粉丝,调优大型查询已被证明对我非常有用。我已经6年没有写过任何内联SQL了!

其他回答

存储过程的性能优势通常可以忽略不计。

存储过程的更多优点:

防止反向工程(当然,如果使用加密创建的话) 更好地集中数据库访问 能够透明地更改数据模型(无需部署新客户端);当多个程序访问相同的数据模型时尤其方便

I'm firmly on the side of stored procs assuming you don't cheat and use dynamic SQL in the stored proc. First, using stored procs allows the dba to set permissions at the stored proc level and not the table level. This is critical not only to combating SQL injection attacts but towards preventing insiders from directly accessing the database and changing things. This is a way to help prevent fraud. No database that contains personal information (SSNs, Credit card numbers, etc) or that in anyway creates financial transactions should ever be accessed except through strored procedures. If you use any other method you are leaving your database wide open for individuals in the company to create fake financial transactions or steal data that can be used for identity theft.

存储的proc也比从应用程序发送的SQL更容易维护和性能调优。它们还允许dba查看数据库结构更改对数据访问方式的影响。我从未遇到过允许动态访问数据库的优秀dba。

@Terrapin - scprocs同样容易受到注射攻击。正如我所说:

总是参数化所有的查询-永远不要内联用户输入的东西,你会没事的。

这适用于sprocs和动态Sql。

我不确定不重新编译你的应用程序是一个优势。我的意思是,在重新上线之前,您已经针对该代码(应用程序和DB)运行了单元测试。


@Guy -是的,你是对的,sproc确实让你控制应用程序用户,这样他们就只能执行sproc,而不是底层的操作。

我的问题是:如果所有人都通过你的应用程序访问它,使用连接和用户只有有限的更新/插入权限等,这个额外的级别是否增加了安全性或额外的管理?

我的观点是后者。如果他们已经破坏了您的应用程序,可以重新编写它,那么他们还有很多其他的攻击可以使用。

如果动态内联代码,Sql注入仍然可以针对这些spprocs执行,所以黄金法则仍然适用,所有用户输入必须始终参数化。

CON

我发现在存储过程中进行大量的处理会使您的DB服务器在扩展您的行为时成为一个单一的不灵活点。

然而,如果您有多个服务器运行您的代码,那么在您的程序中进行所有这些处理而不是sql-server,可能会允许您进行更多的扩展。当然,这并不适用于只进行正常获取或更新的存储procs,而是适用于执行更多处理(如在数据集上循环)的存储procs。

PROS

Performance for what it may be worth (avoids query parsing by DB driver / plan recreation etc) Data manipulation is not embedded in the C/C++/C# code which means I have less low level code to look through. SQL is less verbose and easier to look through when listed separately. Due to the separation folks are able to find and reuse SQL code much easier. Its easier to change things when schema changes - you just have to give the same output to the code and it will work just fine Easier to port to a different database. I can list individual permissions on my stored procedures and control access at that level too. I can profile my data query/ persistence code separate from my data transformation code. I can implement changeable conditions in my stored procedure and it would be easy to customize at a customer site. It becomes easier to use some automated tools to convert my schema and statements together rather than when it is embedded inside my code where I would have to hunt them down. Ensuring best practices for data access is easier when you have all your data access code inside a single file - I can check for queries that access the non performant table or that which uses a higher level of serialization or select *'s in the code etc. It becomes easier to find schema changes / data manipulation logic changes when all of it is listed in one file. It becomes easier to do search and replace edits on SQL when they are in the same place e.g. change / add transaction isolation statements for all stored procs. I and the DBA guy find that having a separate SQL file is easier / convenient when the DBA has to review my SQL stuff. Lastly you don't have to worry about SQL injection attacks because some lazy member of your team did not use parametrized queries when using embedded sqls.

较小的日志

存储过程的另一个小优点是没有提到的:当涉及到SQL流量时,基于sp的数据访问产生的流量要少得多。当您监视流量进行分析和分析时,这一点变得非常重要——日志将会更小且可读。