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
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
其他回答
步骤1:-
string[] Ids = new string[] { "3", "6", "14" };
string IdsSP = string.Format("'|{0}|'", string.Join("|", Ids));
步骤2:-
@CurrentShipmentStatusIdArray [nvarchar](255) = NULL
步骤3:-
Where @CurrentShipmentStatusIdArray is null or @CurrentShipmentStatusIdArray LIKE '%|' + convert(nvarchar,Shipments.CurrentShipmentStatusId) + '|%'
or
Where @CurrentShipmentStatusIdArray is null or @CurrentShipmentStatusIdArray LIKE '%|' + Shipments.CurrentShipmentStatusId+ '|%'
使用动态查询。前端只生成所需的格式:
DECLARE @invalue VARCHAR(100)
SELECT @invalue = '''Bishnu'',''Gautam'''
DECLARE @dynamicSQL VARCHAR(MAX)
SELECT @dynamicSQL = 'SELECT * FROM #temp WHERE [name] IN (' + @invalue + ')'
EXEC (@dynamicSQL)
SQL小提琴
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
在我看来,正确的方法是将列表存储在字符串中(长度受DBMS支持的限制);唯一的技巧是(为了简化处理)我在字符串的开头和结尾都有一个分隔符(在我的例子中是一个逗号)。其思想是“动态规范化”,将列表转换为单列表,每个值包含一行。这让你可以转弯
In (ct1,ct2, ct3…卡通)
成一个
在(选择…)
或者(我可能更喜欢的解决方案)常规连接,如果你只是添加一个“distinct”来避免列表中重复值的问题。
不幸的是,分割字符串的技术是相当特定于产品的。 下面是SQL Server的版本:
with qry(n, names) as
(select len(list.names) - len(replace(list.names, ',', '')) - 1 as n,
substring(list.names, 2, len(list.names)) as names
from (select ',Doc,Grumpy,Happy,Sneezy,Bashful,Sleepy,Dopey,' names) as list
union all
select (n - 1) as n,
substring(names, 1 + charindex(',', names), len(names)) as names
from qry
where n > 1)
select n, substring(names, 1, charindex(',', names) - 1) dwarf
from qry;
Oracle版本:
select n, substr(name, 1, instr(name, ',') - 1) dwarf
from (select n,
substr(val, 1 + instr(val, ',', 1, n)) name
from (select rownum as n,
list.val
from (select ',Doc,Grumpy,Happy,Sneezy,Bashful,Sleepy,Dopey,' val
from dual) list
connect by level < length(list.val) -
length(replace(list.val, ',', ''))));
MySQL版本:
select pivot.n,
substring_index(substring_index(list.val, ',', 1 + pivot.n), ',', -1) from (select 1 as n
union all
select 2 as n
union all
select 3 as n
union all
select 4 as n
union all
select 5 as n
union all
select 6 as n
union all
select 7 as n
union all
select 8 as n
union all
select 9 as n
union all
select 10 as n) pivot, (select ',Doc,Grumpy,Happy,Sneezy,Bashful,Sleepy,Dopey,' val) as list where pivot.n < length(list.val) -
length(replace(list.val, ',', ''));
(当然,“pivot”必须返回与的最大行数相同的行数 我们可以在列表中找到的项目)
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