Combine Multiple Rows into One Space Separated String

Combine multiple rows into one space separated string

Use the GROUP_CONCAT aggregate function:

  SELECT yt.userid,
GROUP_CONCAT(yt.col SEPARATOR ' ') AS combined
FROM YOUR_TABLE yt
GROUP BY yt.userid

The default separator is a comma (","), so you need to specify the SEPARATOR of a single space to get the output you desire.

If you want to ensure the order of the values in the GROUP_CONCAT, use:

  SELECT yt.userid,
GROUP_CONCAT(yt.col ORDER BY yt.col SEPARATOR ' ') AS combined
FROM YOUR_TABLE yt
GROUP BY yt.userid

How to concatenate text from multiple rows into a single text string in SQL Server

If you are on SQL Server 2017 or Azure, see Mathieu Renda answer.

I had a similar issue when I was trying to join two tables with one-to-many relationships. In SQL 2005 I found that XML PATH method can handle the concatenation of the rows very easily.

If there is a table called STUDENTS

SubjectID       StudentName
---------- -------------
1 Mary
1 John
1 Sam
2 Alaina
2 Edward

Result I expected was:

SubjectID       StudentName
---------- -------------
1 Mary, John, Sam
2 Alaina, Edward

I used the following T-SQL:

SELECT Main.SubjectID,
LEFT(Main.Students,Len(Main.Students)-1) As "Students"
FROM
(
SELECT DISTINCT ST2.SubjectID,
(
SELECT ST1.StudentName + ',' AS [text()]
FROM dbo.Students ST1
WHERE ST1.SubjectID = ST2.SubjectID
ORDER BY ST1.SubjectID
FOR XML PATH (''), TYPE
).value('text()[1]','nvarchar(max)') [Students]
FROM dbo.Students ST2
) [Main]

You can do the same thing in a more compact way if you can concat the commas at the beginning and use substring to skip the first one so you don't need to do a sub-query:

SELECT DISTINCT ST2.SubjectID, 
SUBSTRING(
(
SELECT ','+ST1.StudentName AS [text()]
FROM dbo.Students ST1
WHERE ST1.SubjectID = ST2.SubjectID
ORDER BY ST1.SubjectID
FOR XML PATH (''), TYPE
).value('text()[1]','nvarchar(max)'), 2, 1000) [Students]
FROM dbo.Students ST2

How to show data from multiple rows into single row as comma separated string

Modification:
If your SQL Server version is 2017 or above then you can use string_agg() to achieve your desired result. It's way too much faster than stuff() with For XML PATH()

with cte as
(SELECT Books.Name BookName, Categories.Name CategoryName FROM Books_Categories
INNER JOIN Books ON Books.Id = Books_Categories.BookId
INNER JOIN Categories ON Categories.Id = Books_Categories.CategoryId)

SELECT t.BookName,STRING_AGG(CategoryName,',') CategoryName
FROM cte t
GROUP BY t.BookName

You can achieve this in sql-server older than 2017 by using STUFF() with For XML PATH

Schema:

 CREATE TABLE [dbo].[books](
[id] [int] NULL,
[name] [varchar](50) NULL
) ON [PRIMARY]

CREATE TABLE [dbo].[categories](
[id] [int] NULL,
[name] [varchar](50) NULL
) ON [PRIMARY]

CREATE TABLE [dbo].[Books_Categories](
[id] [int] NULL,
[bookid] [int] NULL,
[categoryid] [int] NULL
) ON [PRIMARY]

Insert statements:
insert into books values(1,'BookA');
insert into books values(2,'BookB');

 insert into categories values(1,'CategoryA');
insert into categories values(2,'CategoryB');

insert into Books_Categories values(1, 1, 1);
insert into Books_Categories values(2, 1, 2);
insert into Books_Categories values(3, 2, 2);

Query#1 (STUFF() and For XML PATH():

 with cte as
(SELECT Books.Name BookName, Categories.Name CategoryName FROM Books_Categories
INNER JOIN Books ON Books.Id = Books_Categories.BookId
INNER JOIN Categories ON Categories.Id = Books_Categories.CategoryId)

SELECT t.BookName
, STUFF(( SELECT ', ' + CategoryName
FROM cte
WHERE BookName = t.BookName
FOR XML PATH(''),TYPE)
.value('.','NVARCHAR(MAX)'),1,2,'') AS CategoryName
FROM cte t
GROUP BY t.BookName
GO

Query#2 (using string_agg() for SQL Server 2017(14x) and later):

 with cte as
(SELECT Books.Name BookName, Categories.Name CategoryName FROM Books_Categories
INNER JOIN Books ON Books.Id = Books_Categories.BookId
INNER JOIN Categories ON Categories.Id = Books_Categories.CategoryId)

select t.bookname,string_agg(categoryname,',') CategoryName from cte t
GROUP BY t.BookName

Output:



















BookNameCategoryName
BookACategoryA, CategoryB
BookBCategoryB

How to combine multiple rows into a single row with pandas

You can use groupby and apply function join :

print df.groupby('value')['tempx'].apply(' '.join).reset_index()
value tempx
0 1.5 picture1 picture555 picture255 picture365 pict...

Merge multiple rows (having some non string values) with same ID into one delimited row in pandas

Use ','.join in a groupby

df.groupby('ID').Name.apply(','.join)

ID
1 a,b,c,d
2 er,get,better
3 hot,cold,warm,sweet,heat
Name: Name, dtype: object

Reset the index if you need those same two columns

df.groupby('ID').Name.apply(','.join).reset_index()

ID Name
0 1 a,b,c,d
1 2 er,get,better
2 3 hot,cold,warm,sweet,heat

If for some reason you have non string items

df.assign(Name=df.Name.astype(str)).groupby('ID').Name.apply(','.join).reset_index()

ID Name
0 1 a,b,c,d
1 2 er,get,better
2 3 hot,cold,warm,sweet,heat

I need to combine multiple rows from a subquery into a string separated by a space

select
a.[ImageID],
a.ImageFile,
a.[ImageTitle],
a.[ImageCaption],
a.[Description],
a.[Active],
c.[ListingID],
c.[Active],
c.[LevelID],
c.[Title],
stuff
(
(
select ' ' + CAST(TT.AlbumID AS VARCHAR(10))
from BD_AlbumGallery as TT
where TT.[ImageID] = A.[ImageID]
for xml path(''), type
).value('data(.)', 'nvarchar(max)')
, 1, 1, '') as Listings
from BD_Gallery as A
left outer join BD_Listing as C on a.ListingID = c.ListingID
where
a.ListingID = @passedListingID and
a.Active = 1 and c.Active = 1 and
c.LevelID > 5

Can I concatenate multiple MySQL rows into one field?

You can use GROUP_CONCAT:

SELECT person_id,
GROUP_CONCAT(hobbies SEPARATOR ', ')
FROM peoples_hobbies
GROUP BY person_id;

As Ludwig stated in his comment, you can add the DISTINCT operator to avoid duplicates:

SELECT person_id,
GROUP_CONCAT(DISTINCT hobbies SEPARATOR ', ')
FROM peoples_hobbies
GROUP BY person_id;

As Jan stated in their comment, you can also sort the values before imploding it using ORDER BY:

SELECT person_id, 
GROUP_CONCAT(hobbies ORDER BY hobbies ASC SEPARATOR ', ')
FROM peoples_hobbies
GROUP BY person_id;

As Dag stated in his comment, there is a 1024 byte limit on the result. To solve this, run this query before your query:

SET group_concat_max_len = 2048;

Of course, you can change 2048 according to your needs. To calculate and assign the value:

SET group_concat_max_len = CAST(
(SELECT SUM(LENGTH(hobbies)) + COUNT(*) * LENGTH(', ')
FROM peoples_hobbies
GROUP BY person_id) AS UNSIGNED);

How to combine multiple rows of strings into one using pandas?

You can use str.cat to join the strings in each row. For a Series or column s, write:

>>> s.str.cat(sep=', ')
'I, will, hereby, am, gonna, going, far, to, do, this'

How to concat rows separated by a space in oracle?

What will you do with such a long string?

Anyway, have a look at this example; if listagg won't work, xmlagg will.

SQL> create table test (id, col) as
2 select rownum, a.column_name
3 from user_tab_columns a cross join user_tab_columns b
4 cross join user_tab_columns c;

Table created.

SQL> select count(*) from test;

COUNT(*)
----------
9261

SQL> select listagg(col, ' ') within group (order by null) result from test;
select listagg(col, ' ') within group (order by null) result from test
*
ERROR at line 1:
ORA-01489: result of string concatenation is too long

SQL> select length(xmlagg(xmlelement(e, col, ' ').extract('//text()') order by null).GetClobVal()) length_result
2 from test;

LENGTH_RESULT
-------------
51156

SQL>


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