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

在默认情况下，我将通过向IN条件传递一个表值函数(从字符串返回一个表)来实现这一点。

下面是UDF的代码(我从Stack Overflow的某个地方得到了它，我现在找不到源代码)

CREATE FUNCTION [dbo].[Split] (@sep char(1), @s varchar(8000))
RETURNS table
AS
RETURN (
    WITH Pieces(pn, start, stop) AS (
      SELECT 1, 1, CHARINDEX(@sep, @s)
      UNION ALL
      SELECT pn + 1, stop + 1, CHARINDEX(@sep, @s, stop + 1)
      FROM Pieces
      WHERE stop > 0
    )
    SELECT 
      SUBSTRING(@s, start, CASE WHEN stop > 0 THEN stop-start ELSE 512 END) AS s
    FROM Pieces
  )

一旦你得到了这个，你的代码就会像这样简单:

select * from Tags 
where Name in (select s from dbo.split(';','ruby;rails;scruffy;rubyonrails'))
order by Count desc

除非你有一个长得离谱的字符串，否则这应该与表索引一起工作得很好。

如果需要，你可以把它插入一个临时表，索引它，然后运行一个连接…

这里有另一种选择。只需将一个以逗号分隔的列表作为字符串参数传递给存储过程，然后:

CREATE PROCEDURE [dbo].[sp_myproc]
    @UnitList varchar(MAX) = '1,2,3'
AS
select column from table
where ph.UnitID in (select * from CsvToInt(@UnitList))

函数:

CREATE Function [dbo].[CsvToInt] ( @Array varchar(MAX))
returns @IntTable table
(IntValue int)
AS
begin
    declare @separator char(1)
    set @separator = ','
    declare @separator_position int
    declare @array_value varchar(MAX)

    set @array = @array + ','

    while patindex('%,%' , @array) <> 0
    begin

        select @separator_position = patindex('%,%' , @array)
        select @array_value = left(@array, @separator_position - 1)

        Insert @IntTable
        Values (Cast(@array_value as int))
        select @array = stuff(@array, 1, @separator_position, '')
    end
    return
end

我们有一个函数，创建一个表变量，你可以加入:

ALTER FUNCTION [dbo].[Fn_sqllist_to_table](@list  AS VARCHAR(8000),
                                           @delim AS VARCHAR(10))
RETURNS @listTable TABLE(
  Position INT,
  Value    VARCHAR(8000))
AS
  BEGIN
      DECLARE @myPos INT

      SET @myPos = 1

      WHILE Charindex(@delim, @list) > 0
        BEGIN
            INSERT INTO @listTable
                        (Position,Value)
            VALUES     (@myPos,LEFT(@list, Charindex(@delim, @list) - 1))

            SET @myPos = @myPos + 1

            IF Charindex(@delim, @list) = Len(@list)
              INSERT INTO @listTable
                          (Position,Value)
              VALUES     (@myPos,'')

            SET @list = RIGHT(@list, Len(@list) - Charindex(@delim, @list))
        END

      IF Len(@list) > 0
        INSERT INTO @listTable
                    (Position,Value)
        VALUES     (@myPos,@list)

      RETURN
  END 

So:

@Name varchar(8000) = null // parameter for search values    

select * from Tags 
where Name in (SELECT value From fn_sqllist_to_table(@Name,',')))
order by Count desc

对于这样数量可变的参数，我所知道的唯一方法是显式地生成SQL，或者做一些涉及用所需项填充临时表并与临时表连接的事情。

这很恶心，但如果你保证至少有一个，你可以这样做:

SELECT ...
       ...
 WHERE tag IN( @tag1, ISNULL( @tag2, @tag1 ), ISNULL( @tag3, @tag1 ), etc. )

有IN('tag1'， 'tag2'， 'tag1'， 'tag1'， 'tag1')将很容易被SQL Server优化掉。另外，你可以直接搜索索引