我最喜欢的SQL反模式:

对非唯一列进行JOIN，并使用SELECT DISTINCT修剪结果。

创建连接多个表的视图，只是为了从一个表中选择少数列。

 CREATE VIEW my_view AS 
     SELECT * FROM table1
     JOIN table2 ON (...)
     JOIN table3 ON (...);

 SELECT col1, col2 FROM my_view WHERE col3 = 123;

在他们职业生涯的前6个月学习SQL，在接下来的10年里从不学习其他任何东西。特别是没有学习或有效地使用窗口/分析SQL特性。特别是over()和partition by的使用。

窗口函数，比如聚合 函数时，对对象进行聚合 定义的行集(组)，但是 而不是返回一个值 组，窗口函数可以返回 每个组有多个值。

请参阅O'Reilly SQL Cookbook附录A，以获得窗口函数的良好概述。

同一查询中的相同子查询。

我最不喜欢的是

Using spaces when creating tables, sprocs etc. I'm fine with CamelCase or under_scores and singular or plurals and UPPERCASE or lowercase but having to refer to a table or column [with spaces], especially if [ it is oddly spaced] (yes, I've run into this) really irritates me. Denormalized data. A table doesn't have to be perfectly normalized, but when I run into a table of employees that has information about their current evaluation score or their primary anything, it tells me that I will probably need to make a separate table at some point and then try to keep them synced. I will normalize the data first and then if I see a place where denormalization helps, I'll consider it. Overuse of either views or cursors. Views have a purpose, but when each table is wrapped in a view it's too much. I've had to use cursors a few times, but generally you can use other mechanisms for this. Access. Can a program be an anti-pattern? We have SQL Server at my work, but a number of people use access due to it's availabilty, "ease of use" and "friendliness" to non-technical users. There is too much here to go into, but if you've been in a similar environment, you know.

应用程序连接 不仅仅是一个SQL问题，而是在寻找问题的描述和发现这个问题时，我很惊讶它没有被列出。

正如我所听到的那样，应用程序连接是指从两个或多个表中取出一组行，然后用一对嵌套的for循环将它们连接到(Java)代码中。这给系统(应用程序和数据库)带来了负担，必须识别整个叉乘，检索它并将其发送给应用程序。假设应用程序可以像数据库一样快地过滤叉乘(不确定)，只是更快地削减结果集意味着更少的数据传输。

没有注释的存储过程或函数…