我如何参数化一个包含有可变数量参数的IN子句的查询,就像这样?
SELECT * FROM Tags
WHERE Name IN ('ruby','rails','scruffy','rubyonrails')
ORDER BY Count DESC
在这个查询中,参数的数量可以是1到5之间的任意值。
我不喜欢使用专门的存储过程(或XML),但如果有一些特定于SQL Server 2008的优雅方式,我愿意接受。
我如何参数化一个包含有可变数量参数的IN子句的查询,就像这样?
SELECT * FROM Tags
WHERE Name IN ('ruby','rails','scruffy','rubyonrails')
ORDER BY Count DESC
在这个查询中,参数的数量可以是1到5之间的任意值。
我不喜欢使用专门的存储过程(或XML),但如果有一些特定于SQL Server 2008的优雅方式,我愿意接受。
当前回答
下面是我用过的一个快速而又复杂的技巧:
SELECT * FROM Tags
WHERE '|ruby|rails|scruffy|rubyonrails|'
LIKE '%|' + Name + '|%'
下面是c#代码:
string[] tags = new string[] { "ruby", "rails", "scruffy", "rubyonrails" };
const string cmdText = "select * from tags where '|' + @tags + '|' like '%|' + Name + '|%'";
using (SqlCommand cmd = new SqlCommand(cmdText)) {
cmd.Parameters.AddWithValue("@tags", string.Join("|", tags);
}
两个问题:
演出糟透了。像“%……%"查询没有索引。 请确保没有任何|、blank或null标记,否则将无法工作
有些人可能认为还有其他更清洁的方法可以做到这一点,所以请继续阅读。
其他回答
我使用了一个更简洁的投票结果:
List<SqlParameter> parameters = tags.Select((s, i) => new SqlParameter("@tag" + i.ToString(), SqlDbType.NVarChar(50)) { Value = s}).ToList();
var whereCondition = string.Format("tags in ({0})", String.Join(",",parameters.Select(s => s.ParameterName)));
它循环两次标记参数;但大多数时候这并不重要(它不会成为你的瓶颈;如果是,展开循环)。
如果你真的对性能感兴趣,不想重复循环两次,这里有一个不太漂亮的版本:
var parameters = new List<SqlParameter>();
var paramNames = new List<string>();
for (var i = 0; i < tags.Length; i++)
{
var paramName = "@tag" + i;
//Include size and set value explicitly (not AddWithValue)
//Because SQL Server may use an implicit conversion if it doesn't know
//the actual size.
var p = new SqlParameter(paramName, SqlDbType.NVarChar(50) { Value = tags[i]; }
paramNames.Add(paramName);
parameters.Add(p);
}
var inClause = string.Join(",", paramNames);
I think this is a case when a static query is just not the way to go. Dynamically build the list for your in clause, escape your single quotes, and dynamically build SQL. In this case you probably won't see much of a difference with any method due to the small list, but the most efficient method really is to send the SQL exactly as it is written in your post. I think it is a good habit to write it the most efficient way, rather than to do what makes the prettiest code, or consider it bad practice to dynamically build SQL.
I have seen the split functions take longer to execute than the query themselves in many cases where the parameters get large. A stored procedure with table valued parameters in SQL 2008 is the only other option I would consider, although this will probably be slower in your case. TVP will probably only be faster for large lists if you are searching on the primary key of the TVP, because SQL will build a temporary table for the list anyway (if the list is large). You won't know for sure unless you test it.
I have also seen stored procedures that had 500 parameters with default values of null, and having WHERE Column1 IN (@Param1, @Param2, @Param3, ..., @Param500). This caused SQL to build a temp table, do a sort/distinct, and then do a table scan instead of an index seek. That is essentially what you would be doing by parameterizing that query, although on a small enough scale that it won't make a noticeable difference. I highly recommend against having NULL in your IN lists, as if that gets changed to a NOT IN it will not act as intended. You could dynamically build the parameter list, but the only obvious thing that you would gain is that the objects would escape the single quotes for you. That approach is also slightly slower on the application end since the objects have to parse the query to find the parameters. It may or may not be faster on SQL, as parameterized queries call sp_prepare, sp_execute for as many times you execute the query, followed by sp_unprepare.
重用存储过程或参数化查询的执行计划可能会提高性能,但它会将您锁定在由执行的第一个查询决定的执行计划中。在许多情况下,这对于后续查询可能不太理想。在您的情况下,重用执行计划可能是一个加分项,但它可能根本没有任何区别,因为示例是一个非常简单的查询。
悬崖笔记:
对于您的情况,您所做的任何事情,无论是使用列表中固定数量的项进行参数化(如果不使用则为空),动态地构建带有或不带有参数的查询,还是使用带有表值参数的存储过程,都不会产生太大的区别。不过,我的一般建议如下:
你的case/简单查询很少参数:
动态SQL,如果测试显示更好的性能,可能会使用参数。
具有可重用执行计划的查询,通过简单地更改参数或如果查询很复杂则调用多次:
带有动态参数的SQL。
带有大列表的查询:
具有表值参数的存储过程。如果列表变化很大,则在存储过程上使用WITH RECOMPILE,或者简单地使用不带参数的动态SQL为每个查询生成新的执行计划。
这可能是一种有点讨厌的方法,我用过一次,相当有效。
根据你的目标,它可能会有用。
创建一个只有一列的临时表。 将每个查找值插入到该列中。 不使用IN,只需使用标准JOIN规则。(灵活性++)
这为您所能做的事情提供了一些额外的灵活性,但它更适合这样的情况:需要查询一个大型表,有良好的索引,并且希望多次使用参数化列表。节省了执行两次,所有的卫生工作都是手动完成的。
我从来没有时间去分析它到底有多快,但在我的情况下,它是需要的。
这是一个可重复使用的变化的解决方案在马克托罗特的优秀答案。
扩展方法:
public static class ParameterExtensions
{
public static Tuple<string, SqlParameter[]> ToParameterTuple<T>(this IEnumerable<T> values)
{
var createName = new Func<int, string>(index => "@value" + index.ToString());
var paramTuples = values.Select((value, index) =>
new Tuple<string, SqlParameter>(createName(index), new SqlParameter(createName(index), value))).ToArray();
var inClause = string.Join(",", paramTuples.Select(t => t.Item1));
var parameters = paramTuples.Select(t => t.Item2).ToArray();
return new Tuple<string, SqlParameter[]>(inClause, parameters);
}
}
用法:
string[] tags = {"ruby", "rails", "scruffy", "rubyonrails"};
var paramTuple = tags.ToParameterTuple();
var cmdText = $"SELECT * FROM Tags WHERE Name IN ({paramTuple.Item1})";
using (var cmd = new SqlCommand(cmdText))
{
cmd.Parameters.AddRange(paramTuple.Item2);
}
在我看来,解决这个问题的最佳来源是这个网站上发布的内容:
Syscomments。Dinakar Nethi
CREATE FUNCTION dbo.fnParseArray (@Array VARCHAR(1000),@separator CHAR(1))
RETURNS @T Table (col1 varchar(50))
AS
BEGIN
--DECLARE @T Table (col1 varchar(50))
-- @Array is the array we wish to parse
-- @Separator is the separator charactor such as a comma
DECLARE @separator_position INT -- This is used to locate each separator character
DECLARE @array_value VARCHAR(1000) -- this holds each array value as it is returned
-- For my loop to work I need an extra separator at the end. I always look to the
-- left of the separator character for each array value
SET @array = @array + @separator
-- Loop through the string searching for separtor characters
WHILE PATINDEX('%' + @separator + '%', @array) <> 0
BEGIN
-- patindex matches the a pattern against a string
SELECT @separator_position = PATINDEX('%' + @separator + '%',@array)
SELECT @array_value = LEFT(@array, @separator_position - 1)
-- This is where you process the values passed.
INSERT into @T VALUES (@array_value)
-- Replace this select statement with your processing
-- @array_value holds the value of this element of the array
-- This replaces what we just processed with and empty string
SELECT @array = STUFF(@array, 1, @separator_position, '')
END
RETURN
END
Use:
SELECT * FROM dbo.fnParseArray('a,b,c,d,e,f', ',')
致谢:Dinakar Nethi