我将使用SQL在表级别解决这个问题。我将创建一个新表,其中包含person Id和article Id。在填充这个新表之后,我将删除Person.CsvArticleIds列。然后,您将拥有一个规范化的表结构来为人们存储文章。
你需要把CsvArticleIds字符串分开。在SQLServer中有很多方法可以分割字符串。本文介绍了几乎所有方法的优缺点:
"Arrays and Lists in SQL Server 2005 and Beyond, When Table Value Parameters Do Not Cut it" by Erland Sommarskog
SELECT
*
FROM YourTable y
INNER JOIN dbo.yourSplitFunction(@Parameter) s ON y.ID=s.Value
I prefer the number table approach to split a string in TSQL
但是在SQLServer中有很多方法可以分割字符串,请参阅前面的链接,其中解释了每种方法的优缺点。
要使Numbers表方法工作,您需要执行一次性表设置,这将创建一个表
Numbers
SELECT TOP 10000 IDENTITY(int,1,1) AS Number
INTO Numbers
FROM sys.objects s1
CROSS JOIN sys.objects s2
ALTER TABLE Numbers ADD CONSTRAINT PK_Numbers PRIMARY KEY CLUSTERED (Number)
设置数字表后,创建此函数:
CREATE FUNCTION [dbo].[FN_ListToTable]
(
@SplitOn char(1) --REQUIRED, the character to split the @List string on
,@List varchar(8000)--REQUIRED, the list to split apart
)
RETURNS TABLE
AS
RETURN
(
----------------
--SINGLE QUERY-- --this will not return empty rows
----------------
SELECT
ListValue
FROM (SELECT
LTRIM(RTRIM(SUBSTRING(List2, number+1, CHARINDEX(@SplitOn, List2, number+1)-number - 1))) AS ListValue
FROM (
SELECT @SplitOn + @List + @SplitOn AS List2
) AS dt
INNER JOIN Numbers n ON n.Number < LEN(dt.List2)
WHERE SUBSTRING(List2, number, 1) = @SplitOn
) dt2
WHERE ListValue IS NOT NULL AND ListValue!=''
);
GO
现在,您可以轻松地将CSV字符串拆分为一个表并将其联接:
select * from dbo.FN_ListToTable(',','1,2,3,,,4,5,6777,,,')
ListValue
-----------------------
1
2
3
4
5
6777
(6 row(s) affected)
DECLARE @YourTable table (Id int, Name varchar(10), CsvArticleIds varchar(500))
INSERT @YourTable VALUES (1 ,'Joe' ,'15,22')
INSERT @YourTable VALUES (5 ,'Ed' ,'22')
INSERT @YourTable VALUES (10 ,'Arnie' ,'8,15,22')
DECLARE @YourTableNormalized table (Id int, ArticleId int)
INSERT INTO @YourTableNormalized
(Id, ArticleId)
SELECT
y.Id, st.ListValue
FROM @YourTable y
CROSS APPLY dbo.FN_ListToTable(',',y.CsvArticleIds) AS st
ORDER BY st.ListValue
SELECT * FROM @YourTableNormalized ORDER BY Id,ArticleId
输出:
Id ArticleId
----------- -----------
1 15
1 22
5 22
10 8
10 15
10 22
(6 row(s) affected)