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Row wise sorting



2019 Community Moderator ElectionHow can I remove duplicate rows?Best way to get identity of inserted row?How to concatenate text from multiple rows into a single text string in SQL server?Inserting multiple rows in a single SQL query?Creating table from structure of another table with no dataSQL query to divide value across rows that add to total in SQL ServerUnable to combine the rows in sql by group by clauseUpdate table if rows already exists while inserting if row does not exists from a datasetIs the sequence of SQL query output is fixed or may Change?Multiple CASE with concatenation










0















I have a table like below,



col1 col2 col3
1 2 3
2 1 3
3 2 1
1 4 6
4 6 1
6 4 1


Here I want to sort the record row wise.



Expected output.



col1 col2 col3
1 2 3
1 2 3
1 2 3
1 4 6
1 4 6
1 4 6


I have used ASCII Values for comparison.



declare @tab table(col1 varchar(10),col2 varchar(10),col3 varchar(20))



insert into @tab
select '4','6','1' union
select '6','4','1' union
select '1','2','3' union
select '2','1','3' union
select '3','1','2' union
select '4','2','3' union
select '1','4','6' union

select '5','5','1' union
select '5','5','1' union

select 'a','2','2' union
select '2','a','2' union
select '2','2','a'



;with CTE as(
Select Case When ascii(Col1) <= ascii(Col2) And ascii(Col1) <=
ascii(Col3) Then cast(Col1 as varchar)
When ascii(Col2) <= ascii(Col1) And ascii(Col2) <=
ascii(Col3) Then cast(Col2 as varchar)
Else cast(Col3 as varchar) END as col1,
case when ( ascii(col1) >= ascii(col2) and ascii(col2) >=
ascii(col3)) or ( ascii(col3) >= ascii(col2) and
ascii(col2) >= ascii(col1)) then cast(Col2 as
varchar)
when ( ascii(col1) >= ascii(col3) and ascii(col3) >=
ascii(col2)) or ( ascii(col2) >= ascii(col3) and
ascii(col3) >= ascii(col1)) then cast(Col3 as varchar)
when ( ascii(col3) >= ascii(col1) and ascii(col1) >= ascii(col2)) or ( ascii(col2) >= ascii(col1) and ascii(col1) >= ascii(col3)) then cast(Col1 as varchar) end as col2,
Case When ascii(Col1) >= ascii(Col2) And ascii(Col1) >= ascii(Col3) Then cast(Col1 as varchar)
When ascii(Col2) >= ascii(Col1) And ascii(Col2) >= ascii(Col3) Then cast(Col2 as varchar)
Else cast(Col3 as varchar) END as col3
From @tab)

select * from CTE


Is there any shortest way to achieve this process?










share|improve this question
























  • how this is sorting i mean what is the logic behind ?

    – Zaynul Abadin Tuhin
    Mar 6 at 5:34












  • Why a in last row?

    – Suraj Kumar
    Mar 6 at 5:36











  • If row 2 started as (2, 7,3) instead of (2,1,3) like it is now, I assume the result should be (2, 3, 7), but which row should it be in final table- still row 2 or at the bottom?

    – DancingFool
    Mar 6 at 5:39












  • This shouldn't be downvoted. It is a completely legitimate question. Just because the answer is "you shouldn't do this" doesn't mean that the question isn't clear and on-topic for the site.

    – pwilcox
    Mar 6 at 5:57











  • This seems like a bad design

    – Gurwinder Singh
    Mar 6 at 6:24















0















I have a table like below,



col1 col2 col3
1 2 3
2 1 3
3 2 1
1 4 6
4 6 1
6 4 1


Here I want to sort the record row wise.



Expected output.



col1 col2 col3
1 2 3
1 2 3
1 2 3
1 4 6
1 4 6
1 4 6


I have used ASCII Values for comparison.



declare @tab table(col1 varchar(10),col2 varchar(10),col3 varchar(20))



insert into @tab
select '4','6','1' union
select '6','4','1' union
select '1','2','3' union
select '2','1','3' union
select '3','1','2' union
select '4','2','3' union
select '1','4','6' union

select '5','5','1' union
select '5','5','1' union

select 'a','2','2' union
select '2','a','2' union
select '2','2','a'



;with CTE as(
Select Case When ascii(Col1) <= ascii(Col2) And ascii(Col1) <=
ascii(Col3) Then cast(Col1 as varchar)
When ascii(Col2) <= ascii(Col1) And ascii(Col2) <=
ascii(Col3) Then cast(Col2 as varchar)
Else cast(Col3 as varchar) END as col1,
case when ( ascii(col1) >= ascii(col2) and ascii(col2) >=
ascii(col3)) or ( ascii(col3) >= ascii(col2) and
ascii(col2) >= ascii(col1)) then cast(Col2 as
varchar)
when ( ascii(col1) >= ascii(col3) and ascii(col3) >=
ascii(col2)) or ( ascii(col2) >= ascii(col3) and
ascii(col3) >= ascii(col1)) then cast(Col3 as varchar)
when ( ascii(col3) >= ascii(col1) and ascii(col1) >= ascii(col2)) or ( ascii(col2) >= ascii(col1) and ascii(col1) >= ascii(col3)) then cast(Col1 as varchar) end as col2,
Case When ascii(Col1) >= ascii(Col2) And ascii(Col1) >= ascii(Col3) Then cast(Col1 as varchar)
When ascii(Col2) >= ascii(Col1) And ascii(Col2) >= ascii(Col3) Then cast(Col2 as varchar)
Else cast(Col3 as varchar) END as col3
From @tab)

select * from CTE


Is there any shortest way to achieve this process?










share|improve this question
























  • how this is sorting i mean what is the logic behind ?

    – Zaynul Abadin Tuhin
    Mar 6 at 5:34












  • Why a in last row?

    – Suraj Kumar
    Mar 6 at 5:36











  • If row 2 started as (2, 7,3) instead of (2,1,3) like it is now, I assume the result should be (2, 3, 7), but which row should it be in final table- still row 2 or at the bottom?

    – DancingFool
    Mar 6 at 5:39












  • This shouldn't be downvoted. It is a completely legitimate question. Just because the answer is "you shouldn't do this" doesn't mean that the question isn't clear and on-topic for the site.

    – pwilcox
    Mar 6 at 5:57











  • This seems like a bad design

    – Gurwinder Singh
    Mar 6 at 6:24













0












0








0








I have a table like below,



col1 col2 col3
1 2 3
2 1 3
3 2 1
1 4 6
4 6 1
6 4 1


Here I want to sort the record row wise.



Expected output.



col1 col2 col3
1 2 3
1 2 3
1 2 3
1 4 6
1 4 6
1 4 6


I have used ASCII Values for comparison.



declare @tab table(col1 varchar(10),col2 varchar(10),col3 varchar(20))



insert into @tab
select '4','6','1' union
select '6','4','1' union
select '1','2','3' union
select '2','1','3' union
select '3','1','2' union
select '4','2','3' union
select '1','4','6' union

select '5','5','1' union
select '5','5','1' union

select 'a','2','2' union
select '2','a','2' union
select '2','2','a'



;with CTE as(
Select Case When ascii(Col1) <= ascii(Col2) And ascii(Col1) <=
ascii(Col3) Then cast(Col1 as varchar)
When ascii(Col2) <= ascii(Col1) And ascii(Col2) <=
ascii(Col3) Then cast(Col2 as varchar)
Else cast(Col3 as varchar) END as col1,
case when ( ascii(col1) >= ascii(col2) and ascii(col2) >=
ascii(col3)) or ( ascii(col3) >= ascii(col2) and
ascii(col2) >= ascii(col1)) then cast(Col2 as
varchar)
when ( ascii(col1) >= ascii(col3) and ascii(col3) >=
ascii(col2)) or ( ascii(col2) >= ascii(col3) and
ascii(col3) >= ascii(col1)) then cast(Col3 as varchar)
when ( ascii(col3) >= ascii(col1) and ascii(col1) >= ascii(col2)) or ( ascii(col2) >= ascii(col1) and ascii(col1) >= ascii(col3)) then cast(Col1 as varchar) end as col2,
Case When ascii(Col1) >= ascii(Col2) And ascii(Col1) >= ascii(Col3) Then cast(Col1 as varchar)
When ascii(Col2) >= ascii(Col1) And ascii(Col2) >= ascii(Col3) Then cast(Col2 as varchar)
Else cast(Col3 as varchar) END as col3
From @tab)

select * from CTE


Is there any shortest way to achieve this process?










share|improve this question
















I have a table like below,



col1 col2 col3
1 2 3
2 1 3
3 2 1
1 4 6
4 6 1
6 4 1


Here I want to sort the record row wise.



Expected output.



col1 col2 col3
1 2 3
1 2 3
1 2 3
1 4 6
1 4 6
1 4 6


I have used ASCII Values for comparison.



declare @tab table(col1 varchar(10),col2 varchar(10),col3 varchar(20))



insert into @tab
select '4','6','1' union
select '6','4','1' union
select '1','2','3' union
select '2','1','3' union
select '3','1','2' union
select '4','2','3' union
select '1','4','6' union

select '5','5','1' union
select '5','5','1' union

select 'a','2','2' union
select '2','a','2' union
select '2','2','a'



;with CTE as(
Select Case When ascii(Col1) <= ascii(Col2) And ascii(Col1) <=
ascii(Col3) Then cast(Col1 as varchar)
When ascii(Col2) <= ascii(Col1) And ascii(Col2) <=
ascii(Col3) Then cast(Col2 as varchar)
Else cast(Col3 as varchar) END as col1,
case when ( ascii(col1) >= ascii(col2) and ascii(col2) >=
ascii(col3)) or ( ascii(col3) >= ascii(col2) and
ascii(col2) >= ascii(col1)) then cast(Col2 as
varchar)
when ( ascii(col1) >= ascii(col3) and ascii(col3) >=
ascii(col2)) or ( ascii(col2) >= ascii(col3) and
ascii(col3) >= ascii(col1)) then cast(Col3 as varchar)
when ( ascii(col3) >= ascii(col1) and ascii(col1) >= ascii(col2)) or ( ascii(col2) >= ascii(col1) and ascii(col1) >= ascii(col3)) then cast(Col1 as varchar) end as col2,
Case When ascii(Col1) >= ascii(Col2) And ascii(Col1) >= ascii(Col3) Then cast(Col1 as varchar)
When ascii(Col2) >= ascii(Col1) And ascii(Col2) >= ascii(Col3) Then cast(Col2 as varchar)
Else cast(Col3 as varchar) END as col3
From @tab)

select * from CTE


Is there any shortest way to achieve this process?







sql sql-server






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 6 at 6:06







Mano

















asked Mar 6 at 5:32









ManoMano

614113




614113












  • how this is sorting i mean what is the logic behind ?

    – Zaynul Abadin Tuhin
    Mar 6 at 5:34












  • Why a in last row?

    – Suraj Kumar
    Mar 6 at 5:36











  • If row 2 started as (2, 7,3) instead of (2,1,3) like it is now, I assume the result should be (2, 3, 7), but which row should it be in final table- still row 2 or at the bottom?

    – DancingFool
    Mar 6 at 5:39












  • This shouldn't be downvoted. It is a completely legitimate question. Just because the answer is "you shouldn't do this" doesn't mean that the question isn't clear and on-topic for the site.

    – pwilcox
    Mar 6 at 5:57











  • This seems like a bad design

    – Gurwinder Singh
    Mar 6 at 6:24

















  • how this is sorting i mean what is the logic behind ?

    – Zaynul Abadin Tuhin
    Mar 6 at 5:34












  • Why a in last row?

    – Suraj Kumar
    Mar 6 at 5:36











  • If row 2 started as (2, 7,3) instead of (2,1,3) like it is now, I assume the result should be (2, 3, 7), but which row should it be in final table- still row 2 or at the bottom?

    – DancingFool
    Mar 6 at 5:39












  • This shouldn't be downvoted. It is a completely legitimate question. Just because the answer is "you shouldn't do this" doesn't mean that the question isn't clear and on-topic for the site.

    – pwilcox
    Mar 6 at 5:57











  • This seems like a bad design

    – Gurwinder Singh
    Mar 6 at 6:24
















how this is sorting i mean what is the logic behind ?

– Zaynul Abadin Tuhin
Mar 6 at 5:34






how this is sorting i mean what is the logic behind ?

– Zaynul Abadin Tuhin
Mar 6 at 5:34














Why a in last row?

– Suraj Kumar
Mar 6 at 5:36





Why a in last row?

– Suraj Kumar
Mar 6 at 5:36













If row 2 started as (2, 7,3) instead of (2,1,3) like it is now, I assume the result should be (2, 3, 7), but which row should it be in final table- still row 2 or at the bottom?

– DancingFool
Mar 6 at 5:39






If row 2 started as (2, 7,3) instead of (2,1,3) like it is now, I assume the result should be (2, 3, 7), but which row should it be in final table- still row 2 or at the bottom?

– DancingFool
Mar 6 at 5:39














This shouldn't be downvoted. It is a completely legitimate question. Just because the answer is "you shouldn't do this" doesn't mean that the question isn't clear and on-topic for the site.

– pwilcox
Mar 6 at 5:57





This shouldn't be downvoted. It is a completely legitimate question. Just because the answer is "you shouldn't do this" doesn't mean that the question isn't clear and on-topic for the site.

– pwilcox
Mar 6 at 5:57













This seems like a bad design

– Gurwinder Singh
Mar 6 at 6:24





This seems like a bad design

– Gurwinder Singh
Mar 6 at 6:24












5 Answers
5






active

oldest

votes


















2














Another way of doing it using ROW_NUMBER() like following



SELECT (SELECT x 
FROM (SELECT x,
Row_number()
OVER(
ORDER BY x) rn
FROM (VALUES(col1),
(col2),
(col3))f(x))t
WHERE rn = 1) c1,
(SELECT x
FROM (SELECT x,
Row_number()
OVER(
ORDER BY x) rn
FROM (VALUES(col1),
(col2),
(col3))f(x))t
WHERE rn = 2) c2,
(SELECT x
FROM (SELECT x,
Row_number()
OVER(
ORDER BY x) rn
FROM (VALUES(col1),
(col2),
(col3))f(x))t
WHERE rn = 3) c3
FROM @table


OR using nested CTE like following.



 ;WITH cte1 
AS (SELECT (SELECT Min(f)
FROM (VALUES (col1),
(col2),
(col3)) AS Fields(f)) m1,
*
FROM @table),
cte2
AS (SELECT (SELECT COALESCE(Min(f), M1) AS M2
FROM (VALUES (col1),
(col2),
(col3)) AS Fields(f)
WHERE f > m1) m2,
*
FROM cte1),
cte3
AS (SELECT m1,
m2,
(SELECT COALESCE(Min(f),m2) as m3
FROM (VALUES (col1),
(col2),
(col3)) AS Fields(f)
WHERE f > m2) m3
FROM cte2)
SELECT *
FROM cte3


Online Demo






share|improve this answer

























  • This is return null values in some of the column.

    – Mano
    Mar 6 at 6:20











  • Please insert one row like '5','1','5'

    – Mano
    Mar 6 at 6:22











  • You can check the updated query here .. rextester.com/STKZ87454

    – PSK
    Mar 6 at 6:27


















2














This need for row-wise sorting is usually a sign that your tables could benefit from a new structure. What are you really trying to accomplish? It can probably be better done by normalizing col1, col2, and col3 to look more vertical (this is what the 'unpivoted' CTE is forcing below, but the table should look something like that in the first place).



If you must do this, consider adding a row identifier (basically a primary key) to your table.



declare @tab table(
rowId int identity(1,1),
col1 varchar(10),
col2 varchar(10),
col3 varchar(20)
);

insert @tab values
('4','6','1'),
-- etc


Then you can avoid a bunch of case statements and more easily extend to more than just three columns with something like the following:



with

unpivoted as (

select rowId,
val,
ord = row_number() over(partition by rowId order by val)
from @tab
cross apply (values (col1), (col2), (col3)) ap (val)

)

select rowId,
col1 = [1],
col2 = [2],
col3 = [3]
from unpvioted
pivot (max(val) for ord in ([1],[2],[3])) piv


You can see it in action here.






share|improve this answer

























  • are you a wizard?

    – Manfred Wippel
    Mar 6 at 7:12











  • When I use data type as varchar it return the error like " The type of column "col3" conflicts with the type of other columns specified in the UNPIVOT list."

    – Mano
    Mar 6 at 7:20






  • 1





    Aww thanks @ManfredWippel. But if you're familiar with pivots and unpivots then this isn't too magical. Unfortunately, I've worked in environments with severely non-normalized data, so I've used them a lot.

    – pwilcox
    Mar 6 at 15:10











  • @Mano, there is another way to unpivot. I changed to that in my answer. It's has the same effect except it is less limiting when converting the values for you.

    – pwilcox
    Mar 6 at 15:26












  • @pwilcox, This is working thank you.

    – Mano
    Mar 7 at 4:15


















0














use case when like below



select case when col1>col2>col3 then col1
when col2>col3 then col2
else col3 end as col1, -- this is the condition for first column


you have to write this way for 3columns






share|improve this answer






























    0














    If all columns are Integer type then the below query will works,



    SELECT c1 = CASE
    WHEN c1 <= c2 AND c1 <= c3 THEN c1
    WHEN c2 <= c1 AND c2 <= c3 THEN c2
    ELSE c3 END,
    c2 = CASE
    WHEN c1 <= c2 AND c1 <= c3 THEN
    CASE WHEN c2 <= c3 THEN c2 ELSE c3 END
    WHEN c2 <= c1 AND c2 <= c3 THEN
    CASE WHEN c1 <= c3 THEN c1 ELSE c3 END
    ELSE
    CASE WHEN c1 <= c2 THEN c1 ELSE c2 END
    END,
    c3 = CASE
    WHEN c1 >= c2 AND c1 >= c3 THEN c1
    WHEN c2 >= c1 AND c2 >= c3 THEN c2
    ELSE c3 END
    FROM temp_x;


    If any character then you can use ASCII value to cpompare.






    share|improve this answer






























      0














      The fastest way is likely to be case expressions, but that doesn't generalize.



      I would go for apply as a good balance between performance and scalability:



      select v.*
      from t cross apply
      (select max(case when seqnum = 1 then col end) as col1,
      max(case when seqnum = 2 then col end) as col2,
      max(case when seqnum = 3 then col end) as col3
      from (select v.*,
      row_number() over (order by col) as seqnum
      from (values (t.col1), (t.col2), (t.col3)) v(col)
      ) v
      ) v;


      This can also readily handle NULL values and ties, which greatly complicate a case approach.






      share|improve this answer






















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        5 Answers
        5






        active

        oldest

        votes








        5 Answers
        5






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes









        2














        Another way of doing it using ROW_NUMBER() like following



        SELECT (SELECT x 
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 1) c1,
        (SELECT x
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 2) c2,
        (SELECT x
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 3) c3
        FROM @table


        OR using nested CTE like following.



         ;WITH cte1 
        AS (SELECT (SELECT Min(f)
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)) m1,
        *
        FROM @table),
        cte2
        AS (SELECT (SELECT COALESCE(Min(f), M1) AS M2
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)
        WHERE f > m1) m2,
        *
        FROM cte1),
        cte3
        AS (SELECT m1,
        m2,
        (SELECT COALESCE(Min(f),m2) as m3
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)
        WHERE f > m2) m3
        FROM cte2)
        SELECT *
        FROM cte3


        Online Demo






        share|improve this answer

























        • This is return null values in some of the column.

          – Mano
          Mar 6 at 6:20











        • Please insert one row like '5','1','5'

          – Mano
          Mar 6 at 6:22











        • You can check the updated query here .. rextester.com/STKZ87454

          – PSK
          Mar 6 at 6:27















        2














        Another way of doing it using ROW_NUMBER() like following



        SELECT (SELECT x 
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 1) c1,
        (SELECT x
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 2) c2,
        (SELECT x
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 3) c3
        FROM @table


        OR using nested CTE like following.



         ;WITH cte1 
        AS (SELECT (SELECT Min(f)
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)) m1,
        *
        FROM @table),
        cte2
        AS (SELECT (SELECT COALESCE(Min(f), M1) AS M2
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)
        WHERE f > m1) m2,
        *
        FROM cte1),
        cte3
        AS (SELECT m1,
        m2,
        (SELECT COALESCE(Min(f),m2) as m3
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)
        WHERE f > m2) m3
        FROM cte2)
        SELECT *
        FROM cte3


        Online Demo






        share|improve this answer

























        • This is return null values in some of the column.

          – Mano
          Mar 6 at 6:20











        • Please insert one row like '5','1','5'

          – Mano
          Mar 6 at 6:22











        • You can check the updated query here .. rextester.com/STKZ87454

          – PSK
          Mar 6 at 6:27













        2












        2








        2







        Another way of doing it using ROW_NUMBER() like following



        SELECT (SELECT x 
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 1) c1,
        (SELECT x
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 2) c2,
        (SELECT x
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 3) c3
        FROM @table


        OR using nested CTE like following.



         ;WITH cte1 
        AS (SELECT (SELECT Min(f)
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)) m1,
        *
        FROM @table),
        cte2
        AS (SELECT (SELECT COALESCE(Min(f), M1) AS M2
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)
        WHERE f > m1) m2,
        *
        FROM cte1),
        cte3
        AS (SELECT m1,
        m2,
        (SELECT COALESCE(Min(f),m2) as m3
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)
        WHERE f > m2) m3
        FROM cte2)
        SELECT *
        FROM cte3


        Online Demo






        share|improve this answer















        Another way of doing it using ROW_NUMBER() like following



        SELECT (SELECT x 
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 1) c1,
        (SELECT x
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 2) c2,
        (SELECT x
        FROM (SELECT x,
        Row_number()
        OVER(
        ORDER BY x) rn
        FROM (VALUES(col1),
        (col2),
        (col3))f(x))t
        WHERE rn = 3) c3
        FROM @table


        OR using nested CTE like following.



         ;WITH cte1 
        AS (SELECT (SELECT Min(f)
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)) m1,
        *
        FROM @table),
        cte2
        AS (SELECT (SELECT COALESCE(Min(f), M1) AS M2
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)
        WHERE f > m1) m2,
        *
        FROM cte1),
        cte3
        AS (SELECT m1,
        m2,
        (SELECT COALESCE(Min(f),m2) as m3
        FROM (VALUES (col1),
        (col2),
        (col3)) AS Fields(f)
        WHERE f > m2) m3
        FROM cte2)
        SELECT *
        FROM cte3


        Online Demo







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Mar 6 at 7:10

























        answered Mar 6 at 6:18









        PSKPSK

        12.3k31633




        12.3k31633












        • This is return null values in some of the column.

          – Mano
          Mar 6 at 6:20











        • Please insert one row like '5','1','5'

          – Mano
          Mar 6 at 6:22











        • You can check the updated query here .. rextester.com/STKZ87454

          – PSK
          Mar 6 at 6:27

















        • This is return null values in some of the column.

          – Mano
          Mar 6 at 6:20











        • Please insert one row like '5','1','5'

          – Mano
          Mar 6 at 6:22











        • You can check the updated query here .. rextester.com/STKZ87454

          – PSK
          Mar 6 at 6:27
















        This is return null values in some of the column.

        – Mano
        Mar 6 at 6:20





        This is return null values in some of the column.

        – Mano
        Mar 6 at 6:20













        Please insert one row like '5','1','5'

        – Mano
        Mar 6 at 6:22





        Please insert one row like '5','1','5'

        – Mano
        Mar 6 at 6:22













        You can check the updated query here .. rextester.com/STKZ87454

        – PSK
        Mar 6 at 6:27





        You can check the updated query here .. rextester.com/STKZ87454

        – PSK
        Mar 6 at 6:27













        2














        This need for row-wise sorting is usually a sign that your tables could benefit from a new structure. What are you really trying to accomplish? It can probably be better done by normalizing col1, col2, and col3 to look more vertical (this is what the 'unpivoted' CTE is forcing below, but the table should look something like that in the first place).



        If you must do this, consider adding a row identifier (basically a primary key) to your table.



        declare @tab table(
        rowId int identity(1,1),
        col1 varchar(10),
        col2 varchar(10),
        col3 varchar(20)
        );

        insert @tab values
        ('4','6','1'),
        -- etc


        Then you can avoid a bunch of case statements and more easily extend to more than just three columns with something like the following:



        with

        unpivoted as (

        select rowId,
        val,
        ord = row_number() over(partition by rowId order by val)
        from @tab
        cross apply (values (col1), (col2), (col3)) ap (val)

        )

        select rowId,
        col1 = [1],
        col2 = [2],
        col3 = [3]
        from unpvioted
        pivot (max(val) for ord in ([1],[2],[3])) piv


        You can see it in action here.






        share|improve this answer

























        • are you a wizard?

          – Manfred Wippel
          Mar 6 at 7:12











        • When I use data type as varchar it return the error like " The type of column "col3" conflicts with the type of other columns specified in the UNPIVOT list."

          – Mano
          Mar 6 at 7:20






        • 1





          Aww thanks @ManfredWippel. But if you're familiar with pivots and unpivots then this isn't too magical. Unfortunately, I've worked in environments with severely non-normalized data, so I've used them a lot.

          – pwilcox
          Mar 6 at 15:10











        • @Mano, there is another way to unpivot. I changed to that in my answer. It's has the same effect except it is less limiting when converting the values for you.

          – pwilcox
          Mar 6 at 15:26












        • @pwilcox, This is working thank you.

          – Mano
          Mar 7 at 4:15















        2














        This need for row-wise sorting is usually a sign that your tables could benefit from a new structure. What are you really trying to accomplish? It can probably be better done by normalizing col1, col2, and col3 to look more vertical (this is what the 'unpivoted' CTE is forcing below, but the table should look something like that in the first place).



        If you must do this, consider adding a row identifier (basically a primary key) to your table.



        declare @tab table(
        rowId int identity(1,1),
        col1 varchar(10),
        col2 varchar(10),
        col3 varchar(20)
        );

        insert @tab values
        ('4','6','1'),
        -- etc


        Then you can avoid a bunch of case statements and more easily extend to more than just three columns with something like the following:



        with

        unpivoted as (

        select rowId,
        val,
        ord = row_number() over(partition by rowId order by val)
        from @tab
        cross apply (values (col1), (col2), (col3)) ap (val)

        )

        select rowId,
        col1 = [1],
        col2 = [2],
        col3 = [3]
        from unpvioted
        pivot (max(val) for ord in ([1],[2],[3])) piv


        You can see it in action here.






        share|improve this answer

























        • are you a wizard?

          – Manfred Wippel
          Mar 6 at 7:12











        • When I use data type as varchar it return the error like " The type of column "col3" conflicts with the type of other columns specified in the UNPIVOT list."

          – Mano
          Mar 6 at 7:20






        • 1





          Aww thanks @ManfredWippel. But if you're familiar with pivots and unpivots then this isn't too magical. Unfortunately, I've worked in environments with severely non-normalized data, so I've used them a lot.

          – pwilcox
          Mar 6 at 15:10











        • @Mano, there is another way to unpivot. I changed to that in my answer. It's has the same effect except it is less limiting when converting the values for you.

          – pwilcox
          Mar 6 at 15:26












        • @pwilcox, This is working thank you.

          – Mano
          Mar 7 at 4:15













        2












        2








        2







        This need for row-wise sorting is usually a sign that your tables could benefit from a new structure. What are you really trying to accomplish? It can probably be better done by normalizing col1, col2, and col3 to look more vertical (this is what the 'unpivoted' CTE is forcing below, but the table should look something like that in the first place).



        If you must do this, consider adding a row identifier (basically a primary key) to your table.



        declare @tab table(
        rowId int identity(1,1),
        col1 varchar(10),
        col2 varchar(10),
        col3 varchar(20)
        );

        insert @tab values
        ('4','6','1'),
        -- etc


        Then you can avoid a bunch of case statements and more easily extend to more than just three columns with something like the following:



        with

        unpivoted as (

        select rowId,
        val,
        ord = row_number() over(partition by rowId order by val)
        from @tab
        cross apply (values (col1), (col2), (col3)) ap (val)

        )

        select rowId,
        col1 = [1],
        col2 = [2],
        col3 = [3]
        from unpvioted
        pivot (max(val) for ord in ([1],[2],[3])) piv


        You can see it in action here.






        share|improve this answer















        This need for row-wise sorting is usually a sign that your tables could benefit from a new structure. What are you really trying to accomplish? It can probably be better done by normalizing col1, col2, and col3 to look more vertical (this is what the 'unpivoted' CTE is forcing below, but the table should look something like that in the first place).



        If you must do this, consider adding a row identifier (basically a primary key) to your table.



        declare @tab table(
        rowId int identity(1,1),
        col1 varchar(10),
        col2 varchar(10),
        col3 varchar(20)
        );

        insert @tab values
        ('4','6','1'),
        -- etc


        Then you can avoid a bunch of case statements and more easily extend to more than just three columns with something like the following:



        with

        unpivoted as (

        select rowId,
        val,
        ord = row_number() over(partition by rowId order by val)
        from @tab
        cross apply (values (col1), (col2), (col3)) ap (val)

        )

        select rowId,
        col1 = [1],
        col2 = [2],
        col3 = [3]
        from unpvioted
        pivot (max(val) for ord in ([1],[2],[3])) piv


        You can see it in action here.







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Mar 6 at 15:24

























        answered Mar 6 at 5:49









        pwilcoxpwilcox

        702514




        702514












        • are you a wizard?

          – Manfred Wippel
          Mar 6 at 7:12











        • When I use data type as varchar it return the error like " The type of column "col3" conflicts with the type of other columns specified in the UNPIVOT list."

          – Mano
          Mar 6 at 7:20






        • 1





          Aww thanks @ManfredWippel. But if you're familiar with pivots and unpivots then this isn't too magical. Unfortunately, I've worked in environments with severely non-normalized data, so I've used them a lot.

          – pwilcox
          Mar 6 at 15:10











        • @Mano, there is another way to unpivot. I changed to that in my answer. It's has the same effect except it is less limiting when converting the values for you.

          – pwilcox
          Mar 6 at 15:26












        • @pwilcox, This is working thank you.

          – Mano
          Mar 7 at 4:15

















        • are you a wizard?

          – Manfred Wippel
          Mar 6 at 7:12











        • When I use data type as varchar it return the error like " The type of column "col3" conflicts with the type of other columns specified in the UNPIVOT list."

          – Mano
          Mar 6 at 7:20






        • 1





          Aww thanks @ManfredWippel. But if you're familiar with pivots and unpivots then this isn't too magical. Unfortunately, I've worked in environments with severely non-normalized data, so I've used them a lot.

          – pwilcox
          Mar 6 at 15:10











        • @Mano, there is another way to unpivot. I changed to that in my answer. It's has the same effect except it is less limiting when converting the values for you.

          – pwilcox
          Mar 6 at 15:26












        • @pwilcox, This is working thank you.

          – Mano
          Mar 7 at 4:15
















        are you a wizard?

        – Manfred Wippel
        Mar 6 at 7:12





        are you a wizard?

        – Manfred Wippel
        Mar 6 at 7:12













        When I use data type as varchar it return the error like " The type of column "col3" conflicts with the type of other columns specified in the UNPIVOT list."

        – Mano
        Mar 6 at 7:20





        When I use data type as varchar it return the error like " The type of column "col3" conflicts with the type of other columns specified in the UNPIVOT list."

        – Mano
        Mar 6 at 7:20




        1




        1





        Aww thanks @ManfredWippel. But if you're familiar with pivots and unpivots then this isn't too magical. Unfortunately, I've worked in environments with severely non-normalized data, so I've used them a lot.

        – pwilcox
        Mar 6 at 15:10





        Aww thanks @ManfredWippel. But if you're familiar with pivots and unpivots then this isn't too magical. Unfortunately, I've worked in environments with severely non-normalized data, so I've used them a lot.

        – pwilcox
        Mar 6 at 15:10













        @Mano, there is another way to unpivot. I changed to that in my answer. It's has the same effect except it is less limiting when converting the values for you.

        – pwilcox
        Mar 6 at 15:26






        @Mano, there is another way to unpivot. I changed to that in my answer. It's has the same effect except it is less limiting when converting the values for you.

        – pwilcox
        Mar 6 at 15:26














        @pwilcox, This is working thank you.

        – Mano
        Mar 7 at 4:15





        @pwilcox, This is working thank you.

        – Mano
        Mar 7 at 4:15











        0














        use case when like below



        select case when col1>col2>col3 then col1
        when col2>col3 then col2
        else col3 end as col1, -- this is the condition for first column


        you have to write this way for 3columns






        share|improve this answer



























          0














          use case when like below



          select case when col1>col2>col3 then col1
          when col2>col3 then col2
          else col3 end as col1, -- this is the condition for first column


          you have to write this way for 3columns






          share|improve this answer

























            0












            0








            0







            use case when like below



            select case when col1>col2>col3 then col1
            when col2>col3 then col2
            else col3 end as col1, -- this is the condition for first column


            you have to write this way for 3columns






            share|improve this answer













            use case when like below



            select case when col1>col2>col3 then col1
            when col2>col3 then col2
            else col3 end as col1, -- this is the condition for first column


            you have to write this way for 3columns







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Mar 6 at 5:43









            Zaynul Abadin TuhinZaynul Abadin Tuhin

            16.1k21033




            16.1k21033





















                0














                If all columns are Integer type then the below query will works,



                SELECT c1 = CASE
                WHEN c1 <= c2 AND c1 <= c3 THEN c1
                WHEN c2 <= c1 AND c2 <= c3 THEN c2
                ELSE c3 END,
                c2 = CASE
                WHEN c1 <= c2 AND c1 <= c3 THEN
                CASE WHEN c2 <= c3 THEN c2 ELSE c3 END
                WHEN c2 <= c1 AND c2 <= c3 THEN
                CASE WHEN c1 <= c3 THEN c1 ELSE c3 END
                ELSE
                CASE WHEN c1 <= c2 THEN c1 ELSE c2 END
                END,
                c3 = CASE
                WHEN c1 >= c2 AND c1 >= c3 THEN c1
                WHEN c2 >= c1 AND c2 >= c3 THEN c2
                ELSE c3 END
                FROM temp_x;


                If any character then you can use ASCII value to cpompare.






                share|improve this answer



























                  0














                  If all columns are Integer type then the below query will works,



                  SELECT c1 = CASE
                  WHEN c1 <= c2 AND c1 <= c3 THEN c1
                  WHEN c2 <= c1 AND c2 <= c3 THEN c2
                  ELSE c3 END,
                  c2 = CASE
                  WHEN c1 <= c2 AND c1 <= c3 THEN
                  CASE WHEN c2 <= c3 THEN c2 ELSE c3 END
                  WHEN c2 <= c1 AND c2 <= c3 THEN
                  CASE WHEN c1 <= c3 THEN c1 ELSE c3 END
                  ELSE
                  CASE WHEN c1 <= c2 THEN c1 ELSE c2 END
                  END,
                  c3 = CASE
                  WHEN c1 >= c2 AND c1 >= c3 THEN c1
                  WHEN c2 >= c1 AND c2 >= c3 THEN c2
                  ELSE c3 END
                  FROM temp_x;


                  If any character then you can use ASCII value to cpompare.






                  share|improve this answer

























                    0












                    0








                    0







                    If all columns are Integer type then the below query will works,



                    SELECT c1 = CASE
                    WHEN c1 <= c2 AND c1 <= c3 THEN c1
                    WHEN c2 <= c1 AND c2 <= c3 THEN c2
                    ELSE c3 END,
                    c2 = CASE
                    WHEN c1 <= c2 AND c1 <= c3 THEN
                    CASE WHEN c2 <= c3 THEN c2 ELSE c3 END
                    WHEN c2 <= c1 AND c2 <= c3 THEN
                    CASE WHEN c1 <= c3 THEN c1 ELSE c3 END
                    ELSE
                    CASE WHEN c1 <= c2 THEN c1 ELSE c2 END
                    END,
                    c3 = CASE
                    WHEN c1 >= c2 AND c1 >= c3 THEN c1
                    WHEN c2 >= c1 AND c2 >= c3 THEN c2
                    ELSE c3 END
                    FROM temp_x;


                    If any character then you can use ASCII value to cpompare.






                    share|improve this answer













                    If all columns are Integer type then the below query will works,



                    SELECT c1 = CASE
                    WHEN c1 <= c2 AND c1 <= c3 THEN c1
                    WHEN c2 <= c1 AND c2 <= c3 THEN c2
                    ELSE c3 END,
                    c2 = CASE
                    WHEN c1 <= c2 AND c1 <= c3 THEN
                    CASE WHEN c2 <= c3 THEN c2 ELSE c3 END
                    WHEN c2 <= c1 AND c2 <= c3 THEN
                    CASE WHEN c1 <= c3 THEN c1 ELSE c3 END
                    ELSE
                    CASE WHEN c1 <= c2 THEN c1 ELSE c2 END
                    END,
                    c3 = CASE
                    WHEN c1 >= c2 AND c1 >= c3 THEN c1
                    WHEN c2 >= c1 AND c2 >= c3 THEN c2
                    ELSE c3 END
                    FROM temp_x;


                    If any character then you can use ASCII value to cpompare.







                    share|improve this answer












                    share|improve this answer



                    share|improve this answer










                    answered Mar 6 at 5:46









                    DevDev

                    464




                    464





















                        0














                        The fastest way is likely to be case expressions, but that doesn't generalize.



                        I would go for apply as a good balance between performance and scalability:



                        select v.*
                        from t cross apply
                        (select max(case when seqnum = 1 then col end) as col1,
                        max(case when seqnum = 2 then col end) as col2,
                        max(case when seqnum = 3 then col end) as col3
                        from (select v.*,
                        row_number() over (order by col) as seqnum
                        from (values (t.col1), (t.col2), (t.col3)) v(col)
                        ) v
                        ) v;


                        This can also readily handle NULL values and ties, which greatly complicate a case approach.






                        share|improve this answer



























                          0














                          The fastest way is likely to be case expressions, but that doesn't generalize.



                          I would go for apply as a good balance between performance and scalability:



                          select v.*
                          from t cross apply
                          (select max(case when seqnum = 1 then col end) as col1,
                          max(case when seqnum = 2 then col end) as col2,
                          max(case when seqnum = 3 then col end) as col3
                          from (select v.*,
                          row_number() over (order by col) as seqnum
                          from (values (t.col1), (t.col2), (t.col3)) v(col)
                          ) v
                          ) v;


                          This can also readily handle NULL values and ties, which greatly complicate a case approach.






                          share|improve this answer

























                            0












                            0








                            0







                            The fastest way is likely to be case expressions, but that doesn't generalize.



                            I would go for apply as a good balance between performance and scalability:



                            select v.*
                            from t cross apply
                            (select max(case when seqnum = 1 then col end) as col1,
                            max(case when seqnum = 2 then col end) as col2,
                            max(case when seqnum = 3 then col end) as col3
                            from (select v.*,
                            row_number() over (order by col) as seqnum
                            from (values (t.col1), (t.col2), (t.col3)) v(col)
                            ) v
                            ) v;


                            This can also readily handle NULL values and ties, which greatly complicate a case approach.






                            share|improve this answer













                            The fastest way is likely to be case expressions, but that doesn't generalize.



                            I would go for apply as a good balance between performance and scalability:



                            select v.*
                            from t cross apply
                            (select max(case when seqnum = 1 then col end) as col1,
                            max(case when seqnum = 2 then col end) as col2,
                            max(case when seqnum = 3 then col end) as col3
                            from (select v.*,
                            row_number() over (order by col) as seqnum
                            from (values (t.col1), (t.col2), (t.col3)) v(col)
                            ) v
                            ) v;


                            This can also readily handle NULL values and ties, which greatly complicate a case approach.







                            share|improve this answer












                            share|improve this answer



                            share|improve this answer










                            answered Mar 6 at 13:04









                            Gordon LinoffGordon Linoff

                            785k35310417




                            785k35310417



























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