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:
BookName | CategoryName |
---|---|
BookA | CategoryA, CategoryB |
BookB | CategoryB |
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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