为什么有人会在SQL子句中使用WHERE 1=1 AND <条件>(通过连接字符串获得的SQL，或者视图定义)
我在某个地方看到过，这将用于防止SQL注入，但这看起来非常奇怪。
如果有一个注入WHERE 1=1和注入OR 1=1将有相同的结果注入OR 1=1。
稍后编辑:视图定义中的用法如何?
谢谢你的回答。
尽管如此, 我不明白为什么有人会使用这种结构来定义视图，或者在存储过程中使用它。
举个例子:
CREATE VIEW vTest AS
SELECT FROM Table WHERE 1=1 AND table.Field=Value
当前回答
只是在Greg的回答中添加了一个示例代码:
dim sqlstmt as new StringBuilder
sqlstmt.add("SELECT * FROM Products")
sqlstmt.add(" WHERE 1=1")
''// From now on you don't have to worry if you must
''// append AND or WHERE because you know the WHERE is there
If ProductCategoryID <> 0 then
sqlstmt.AppendFormat(" AND ProductCategoryID = {0}", trim(ProductCategoryID))
end if
If MinimunPrice > 0 then
sqlstmt.AppendFormat(" AND Price >= {0}", trim(MinimunPrice))
end if
其他回答
这里有一个密切相关的例子:使用SQL MERGE语句来更新目标表，使用源表中的所有值，其中没有可以连接的公共属性。
MERGE INTO Circles
USING
(
SELECT pi
FROM Constants
) AS SourceTable
ON 1 = 1
WHEN MATCHED THEN
UPDATE
SET circumference = 2 * SourceTable.pi * radius;
只是在Greg的回答中添加了一个示例代码:
dim sqlstmt as new StringBuilder
sqlstmt.add("SELECT * FROM Products")
sqlstmt.add(" WHERE 1=1")
''// From now on you don't have to worry if you must
''// append AND or WHERE because you know the WHERE is there
If ProductCategoryID <> 0 then
sqlstmt.AppendFormat(" AND ProductCategoryID = {0}", trim(ProductCategoryID))
end if
If MinimunPrice > 0 then
sqlstmt.AppendFormat(" AND Price >= {0}", trim(MinimunPrice))
end if
我曾见过在条件数量可变的情况下使用这种方法。
您可以使用“AND”字符串连接条件。然后，不计算传入的条件的数量，而是在stock SQL语句的末尾放置“WHERE 1=1”，并抛出连接的条件。
基本上，它使您不必对条件进行测试，然后在它们之前添加“WHERE”字符串。
回顾了所有的答案，我决定做一些实验
SELECT
*
FROM MyTable
WHERE 1=1
然后我用其他号码核对了一下
WHERE 2=2
WHERE 10=10
WHERE 99=99
等 在完成所有检查之后，查询run town是相同的。即使没有where从句。我不喜欢这种语法
Using a predicate like 1=1 is a normal hint sometimes used to force the access plan to use or not use an index scan. The reason why this is used is when you are using a multi-nested joined query with many predicates in the where clause where sometimes even using all of the indexes causes the access plan to read each table - a full table scan. This is just 1 of many hints used by DBAs to trick a dbms into using a more efficient path. Just don't throw one in; you need a dba to analyze the query since it doesn't always work.
