用逗号分隔 SQL 中的结果

我有以下代码,将创建一个逗号分隔的结果列表:

DECLARE @listStr VARCHAR(MAX)
SELECT @listStr = COALESCE(@listStr+', ' ,'') + INSTITUTIONNAME
FROM EDUCATION
WHERE STUDENTNUMBER= '111'
SELECT @listStr

问题是它创建了一个巨大的逗号分隔线。我需要它为每行返回一个逗号分隔的列表。

因此,如果 Simon是两家机构的一部分,那么我预计:

"INSTITUTION1, INSTITUTION2"

由于我没有提供 where 子句,所以我希望我的结果在数据库中的每一行都像这样显示。

275509 次浏览

Update (As suggested by @Aaron in the comment)

STRING_AGG is the preferred way of doing this in the modern versions of SQL Server (2017 or later). It also supports easy ordering.

SELECT
STUDENTNUMBER
, STRING_AGG(INSTITUTIONNAME, ', ') AS StringAggList
, STRING_AGG(INSTITUTIONNAME, ', ') WITHIN GROUP (ORDER BY INSTITUTIONNAME DESC) AS StringAggListDesc
FROM Education E
GROUP BY E.STUDENTNUMBER;

Original Answer:

Use FOR XML PATH('') - which is converting the entries to a comma separated string and STUFF() -which is to trim the first comma- as follows Which gives you the same comma separated result

SELECT
STUFF((SELECT ',' + INSTITUTIONNAME
FROM EDUCATION EE
WHERE  EE.STUDENTNUMBER = E.STUDENTNUMBER
ORDER BY sortOrder
FOR XML PATH(''), TYPE).value('text()[1]', 'nvarchar(max)')
, 1, LEN(','), '') AS XmlPathList
FROM EDUCATION E
GROUP BY E.STUDENTNUMBER

Here is the FIDDLE showing results for both STRING_AGG and FOR XML PATH('').

For Sql Server 2017 and later you can use the new STRING_AGG function

https://learn.microsoft.com/en-us/sql/t-sql/functions/string-agg-transact-sql

The following example replaces null values with 'N/A' and returns the names separated by commas in a single result cell.

SELECT STRING_AGG ( ISNULL(FirstName,'N/A'), ',') AS csv
FROM Person.Person;

Here is the result set.

John,N/A,Mike,Peter,N/A,N/A,Alice,Bob

Perhaps a more common use case is to group together and then aggregate, just like you would with SUM, COUNT or AVG.

SELECT a.articleId, title, STRING_AGG (tag, ',') AS tags
FROM dbo.Article AS a
LEFT JOIN dbo.ArticleTag AS t
ON a.ArticleId = t.ArticleId
GROUP BY a.articleId, title;

I just saw another question very similar to this!

Here is the canonical NORTHWIND (spelled just slightly different for some reason) database example.

SELECT *
FROM [NORTHWND].[dbo].[Products]

enter image description here

SELECT CategoryId,
MAX( CASE seq WHEN 1 THEN ProductName ELSE '' END ) + ', ' +
MAX( CASE seq WHEN 2 THEN ProductName ELSE '' END ) + ', ' +
MAX( CASE seq WHEN 3 THEN ProductName ELSE '' END ) + ', ' +
MAX( CASE seq WHEN 4 THEN ProductName ELSE '' END )
FROM ( SELECT p1.CategoryId, p1.ProductName,
( SELECT COUNT(*)
FROM NORTHWND.dbo.Products p2
WHERE p2.CategoryId = p1.CategoryId
AND p2.ProductName <= p1.ProductName )
FROM NORTHWND.dbo.Products p1 ) D ( CategoryId, ProductName, seq )
GROUP BY CategoryId ;

enter image description here

this works in sql server 2016

USE AdventureWorks
GO
DECLARE @listStr VARCHAR(MAX)
SELECT @listStr = COALESCE(@listStr+',' ,'') + Name
FROM Production.Product
SELECT @listStr
GO

If you're stuck with SQL Server <2017, you can use GroupConcat. The syntax and the performance is far better than the FOR XML PATH sollution.

Installation:

-- https://codeplexarchive.blob.core.windows.net/archive/projects/groupconcat/groupconcat.zip
create assembly [GroupConcat] from 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000000000000000000000000000000000000000000 with permission_set = safe;
create aggregate [dbo].[GROUP_CONCAT]    (@VALUE [nvarchar](4000))                                                      returns[nvarchar](max) external name [GroupConcat].[GroupConcat.GROUP_CONCAT];
create aggregate [dbo].[GROUP_CONCAT_D]  (@VALUE [nvarchar](4000), @DELIMITER [nvarchar](4))                            returns[nvarchar](max) external name [GroupConcat].[GroupConcat.GROUP_CONCAT_D];
create aggregate [dbo].[GROUP_CONCAT_DS] (@VALUE [nvarchar](4000), @DELIMITER [nvarchar](4), @SORT_ORDER [tinyint])     returns[nvarchar](max) external name [GroupConcat].[GroupConcat.GROUP_CONCAT_DS];
create aggregate [dbo].[GROUP_CONCAT_S]  (@VALUE [nvarchar](4000), @SORT_ORDER [tinyint])                               returns[nvarchar](max) external name [GroupConcat].[GroupConcat.GROUP_CONCAT_S];


go

Usage:

declare @liststr varchar(max)
select @liststr = dbo.group_concat_d(institutionname, ',')
from education
where studentnumber = '111'
group by studentnumber;
select @liststr

GroupConcat does not support ordering, though. You could use PIVOT, CTE's and windows functions if you need ordering:

drop table if exists #students;
create table #students (
name        varchar(20),
institution varchar(20),
year        int -- order by year
)
go


insert into #students(name, institution, year)
values
('Simon', 'INSTITUTION1', 2005),
('Simon', 'INSTITUTION2', 2008);


with cte as (
select name,
institution,
rn = row_number() over (partition by name order by year)
from #students
)
select name,
[1] +
isnull((',' + [2]), '') +
isnull((',' + [3]), '') +
isnull((',' + [4]), '') +
isnull((',' + [5]), '') +
isnull((',' + [6]), '') +
isnull((',' + [7]), '') +
isnull((',' + [8]), '') +
isnull((',' + [9]), '') +
isnull((',' + [10]), '') +
isnull((',' + [11]), '') +
isnull((',' + [12]), '') +
isnull((',' + [13]), '') +
isnull((',' + [14]), '') +
isnull((',' + [15]), '') +
isnull((',' + [16]), '') +
isnull((',' + [17]), '') +
isnull((',' + [18]), '') +
isnull((',' + [19]), '') +
isnull((',' + [20]), '')
from cte
pivot (
max(institution)
for rn in ([1], [2], [3], [4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20])
) as piv