This question already has answers here:
SQL turning values returned in 11 rows into 89 total columns
(2 answers)
Closed 9 years ago.
this is my query
select * from dbo.tblHRIS_ChildDetails where intSID=463
output:
intCHID intsid nvrchildname nvrgender dttchildDOB Occupation
3 463 SK Female 2001-12-11 00:00:00.000 Studying
4 463 SM Male 2007-10-08 00:00:00.000 Student
i need the output like this this is query is dynamic it may return n number of rows based on the intSID
chidname1 gender DOB childoccupation1 chidname2 gender DOB childoccupation2
SK female 2001-12-11 00:00:00.000 studying SM Male 2007-10-08 00:00:00.000 Student
For this type of data, you will need to implement both the UNPIVOT and then the PIVOT functions of SQL Server. The UNPIVOT takes your data from the multiple columns and place it into two columns and then you apply the PIVOT to transform the data back into columns.
If you know all of the values that you want to transform, then you can hard-code it, similar to this:
select *
from
(
select value, col+'_'+cast(rn as varchar(10)) col
from
(
select nvrchildname,
nvrgender,
convert(varchar(10), dttchildDOB, 120) dttchildDOB,
occupation,
row_number() over(partition by intsid order by intCHID) rn
from tblHRIS_ChildDetails
where intsid = 463
) src
unpivot
(
value
for col in (nvrchildname, nvrgender, dttchildDOB, occupation)
) unpiv
) src1
pivot
(
max(value)
for col in ([nvrchildname_1], [nvrgender_1],
[dttchildDOB_1], [occupation_1],
[nvrchildname_2], [nvrgender_2],
[dttchildDOB_2], [occupation_2])
) piv
See SQL Fiddle with Demo
Now, if you have an unknown number of values to transform, then you can use dynamic SQL for this:
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX)
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('tblHRIS_ChildDetails') and
C.name not in ('intCHID', 'intsid')
for xml path('')), 1, 1, '')
select #colsPivot = STUFF((SELECT ','
+ quotename(c.name
+'_'+ cast(t.rn as varchar(10)))
from
(
select row_number() over(partition by intsid order by intCHID) rn
from tblHRIS_ChildDetails
) t
cross apply sys.columns as C
where C.object_id = object_id('tblHRIS_ChildDetails') and
C.name not in ('intCHID', 'intsid')
group by c.name, t.rn
order by t.rn
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select *
from
(
select col+''_''+cast(rn as varchar(10)) col, value
from
(
select nvrchildname,
nvrgender,
convert(varchar(10), dttchildDOB, 120) dttchildDOB,
occupation,
row_number() over(partition by intsid order by intCHID) rn
from tblHRIS_ChildDetails
where intsid = 463
) x
unpivot
(
value
for col in ('+ #colsunpivot +')
) u
) x1
pivot
(
max(value)
for col in ('+ #colspivot +')
) p'
exec(#query)
See SQL Fiddle with Demo
The result of both queries is:
| NVRCHILDNAME_1 | NVRGENDER_1 | DTTCHILDDOB_1 | OCCUPATION_1 | NVRCHILDNAME_2 | NVRGENDER_2 | DTTCHILDDOB_2 | OCCUPATION_2 |
-----------------------------------------------------------------------------------------------------------------------------
| SK | Female | 2001-12-11 | Studying | SM | Male | 2007-10-08 | Student |
You have to provide distinct column names but besides that, it's simple. But as others stated, this is not commonly done and looks like if you want print some report with two columns.
select
max(case when intCHID=1 then nvrchildname end) as chidname1,
max(case when intCHID=1 then gender end) as gender1,
max(case when intCHID=1 then dttchildDOB end) as DOB1,
max(case when intCHID=1 then Occupation end) as cildOccupation1,
max(case when intCHID=2 then nvrchildname end) as chidname2,
max(case when intCHID=2 then gender end) as gender2,
max(case when intCHID=2 then dttchildDOB end) as DOB2,
max(case when intCHID=2 then Occupation end) as cildOccupation2
from
dbo.tblHRIS_ChildDetails
where
intSID=463
Related
I'm looking for a way to pivot a varying amount of rows to columns in sql server 2008 R2. I created the data column RANK in the query because, ultimately I want the pivoted column names to be labeled the value in the RANK column. Then, if somehow I can STUFF the other 3 field values together into one field I would be able to iterate over the row in my backend lang and split the field results appropriately.
Here is the current data set:
And I would like the end result of the pivot to produce a result like this:
I haven't found anything about being able to pivot in this "dynamic" way. Any help would be much appreciated.
As I mentioned above, you need to distinguish each of your Rank values. You've said that this is a calculated value that you can add a number to the end of each one. Once you've added that number, then you still need to pivot it.
The easiest way to first see this would be to write a hard-coded version of the query first.
Sample Data:
create table yourdata
(
id int,
code varchar(50),
created datetime,
[rank] varchar(50)
);
insert into yourdata
select 285856, 'J7609', '2015-01-19', 'Principle' union all
select 285856, 'J7613', '2015-01-19', 'Other' union all
select 285856, 'J0456', '2015-01-19', 'Other' union all
select 285856, 'J0694', '2015-01-19', 'Other' union all
select 285856, 'J1885', '2015-01-19', 'Other' union all
select 285856, 'J2060', '2015-01-19', 'Other' union all
select 285856, 'J2930', '2015-01-19', 'Other';
Static Query:
select Principle_1, Other_1,
Other_2, Other_3, Other_4,
Other_5, Other_6
from
(
-- using row_number to get unique id for each rank
select
data = cast(id as varchar(10)) +' | '+ code +' | '+ convert(varchar(10), created, 112),
[rank] = [rank] + '_' +cast(row_number() over(partition by id, [rank]
order by id) as varchar(10))
from yourdata
) d
pivot
(
max(data)
for [rank] in (Principle_1, Other_1, Other_2, Other_3, Other_4,
Other_5, Other_6)
) p;
Now to do this dynamic, you will create a sql string with the column names and then execute that string:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME([rank] + '_' +cast(rn as varchar(10)))
from
(
select [rank],
rn = row_number() over(partition by id, [rank]
order by id)
from yourdata
) d
group by [rank], rn
order by rn, [rank] desc
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT ' + #cols + '
from
(
select
data = cast(id as varchar(10)) +'' | ''+ code +'' | ''+ convert(varchar(10), created, 112),
[rank] = [rank] + ''_'' +cast(row_number() over(partition by id, [rank]
order by id) as varchar(10))
from yourdata
) x
pivot
(
max(data)
for [rank] in (' + #cols + ')
) p '
exec sp_executesql #query;
This gets you a result:
+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+
| Principle_1 | Other_1 | Other_2 | Other_3 | Other_4 | Other_5 | Other_6 |
+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+
| 285856 | J7609 | 20150119 | 285856 | J7613 | 20150119 | 285856 | J0456 | 20150119 | 285856 | J0694 | 20150119 | 285856 | J1885 | 20150119 | 285856 | J2060 | 20150119 | 285856 | J2930 | 20150119 |
+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+---------------------------+
I am trying to use dynamic pivot and need help on converting rows to columns
The table looks like:
ID expense revenue date
1 43 45 12-31-2012
1 32 32 01-01-2013
3 64 56 01-31-2013
4 31 32 02-31-2013
and I need for reporting purposes like
ID expense12-31-2012 expense01-01-2013 expense01-31-2013 revenue12-31-2013
1 43 32
3 64
In order to get both the expense and revenue columns as headers with the date, I would recommend applying both the UNPIVOT and the PIVOT functions.
The UNPIVOT will convert the expense and revenue columns into rows that you can append the date to. Once the date is added to the column names, then you can apply the PIVOT function.
The UNPIVOT code will be:
select id,
col+'_'+convert(varchar(10), date, 110) new_col,
value
from yt
unpivot
(
value
for col in (expense, revenue)
) un
See SQL Fiddle with Demo. This produces a result:
| ID | NEW_COL | VALUE |
-----------------------------------
| 1 | expense_12-31-2012 | 43 |
| 1 | revenue_12-31-2012 | 45 |
| 2 | expense_01-01-2013 | 32 |
As you can see the expense/revenue columns are now rows with a new_col that has been created by concatenating the date to the end. This new_col is then used in the PIVOT:
select id,
[expense_12-31-2012], [revenue_12-31-2012],
[expense_01-01-2013], [revenue_01-01-2013],
[expense_01-31-2013], [revenue_01-31-2013],
[expense_03-03-2013], [revenue_03-03-2013]
from
(
select id,
col+'_'+convert(varchar(10), date, 110) new_col,
value
from yt
unpivot
(
value
for col in (expense, revenue)
) un
) src
pivot
(
sum(value)
for new_col in ([expense_12-31-2012], [revenue_12-31-2012],
[expense_01-01-2013], [revenue_01-01-2013],
[expense_01-31-2013], [revenue_01-31-2013],
[expense_03-03-2013], [revenue_03-03-2013])
) piv;
See SQL Fiddle with Demo.
The above version will work great if you have a known number of dates to turn into columns but if you have an unknown number of dates, then you will want to use dynamic SQL to generate the result:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(c.col+'_'+convert(varchar(10), yt.date, 110))
from yt
cross apply
(
select 'expense' col union all
select 'revenue'
) c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT id,' + #cols + '
from
(
select id,
col+''_''+convert(varchar(10), date, 110) new_col,
value
from yt
unpivot
(
value
for col in (expense, revenue)
) un
) src
pivot
(
sum(value)
for new_col in (' + #cols + ')
) p '
execute(#query);
See SQL Fiddle with Demo. Both queries generate the same result.
So I have the following date
ID NAME MONTH COUNT
1 David December2012 500
2 Rob December2012 320
1 David January2013 400
2 Rob January2013 280
I am trying to make this.......
ID Name December2012 January2013
1 David 500 400
2 Rob 320 280
Where I get confused is how I want to keep two of the columns and just pivot the two other fields. Anyone know how I would do this.
Thank you so much for your help/time. I have never posted one of these, and responses are greatly appreciated!
You did not specify what RDBMS you are using. You can pivot the data in all databases using an aggregate function with a CASE expression:
select id, name,
sum(case when month = 'December2012' then "count" end) December2012,
sum(case when month = 'January2013' then "count" end) January2013
from yourtable
group by id, name
See SQL Fiddle with Demo
If you are using SQL Server 2005+ or Oracle 11g then you can use the PIVOT function:
select *
from
(
select id, name, month, [count]
from yourtable
) src
pivot
(
sum([count])
for month in (December2012, January2013)
) piv
See SQL Fiddle with Demo.
In SQL Server, if the values of the month are unknown then you can use dynamic SQL similar to this:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(month)
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT id, name,' + #cols + ' from
(
select id, name, month, [count]
from yourtable
) x
pivot
(
sum([count])
for month in (' + #cols + ')
) p '
execute(#query)
See SQL Fiddle with Demo
All versions yield the result:
| ID | NAME | DECEMBER2012 | JANUARY2013 |
-------------------------------------------
| 1 | David | 500 | 400 |
| 2 | Rob | 320 | 280 |
Since you didn't specify what RDBMS you are using, then you can do this:
SELECT
ID,
NAME,
MAX(CASE WHEN MONTH = 'December2012' THEN "COUNT" END) AS "December2012",
MAX(CASE WHEN MONTH = 'January2013' THEN "COUNT" END) AS "January2013"
FROM Tablename
GROUP BY ID, Name;
I have a Table1:
ID Instance Name Size Tech
1 0 D1 123 ABC
1 1 D2 234 CDV
2 2 D3 234 CDV
2 3 D4 345 SDF
I need the resultset using Dynamic PIVOT to look like along with the headers:
ID | Instance0_Name | Instance0_Size | Instance0_Tech | Instance1_Name | Instance1_Size | Instance1_tech
1 | D1 | 123 | ABC | D2 | 234 | CDV
Any help would be appreciated. using Sql Server 2008.
Sorry for the earlier post.
Your desired output is not exactly clear, but you can use the both the UNPIVOT and PIVOT function to get the result
If you know the number of columns, then you can hard code the values:
select *
from
(
select id,
'Instance'+cast(instance as varchar(10))+'_'+col col,
value
from
(
select id,
Instance,
Name,
cast(Size as varchar(50)) Size,
Tech
from yourtable
) x
unpivot
(
value
for col in (Name, Size, Tech)
) u
) x1
pivot
(
max(value)
for col in
([Instance0_Name], [Instance0_Size], [Instance0_Tech],
[Instance1_Name], [Instance1_Size], [Instance1_Tech],
[Instance2_Name], [Instance2_Size], [Instance2_Tech],
[Instance3_Name], [Instance3_Size], [Instance3_Tech])
) p
See SQL Fiddle with Demo
Then if you have an unknown number of values, you can use dynamic sql:
DECLARE #query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX)
select #colsPivot = STUFF((SELECT ','
+ quotename('Instance'+ cast(instance as varchar(10))+'_'+c.name)
from yourtable t
cross apply sys.columns as C
where C.object_id = object_id('yourtable') and
C.name not in ('id', 'instance')
group by t.instance, c.name
order by t.instance
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select *
from
(
select id,
''Instance''+cast(instance as varchar(10))+''_''+col col,
value
from
(
select id,
Instance,
Name,
cast(Size as varchar(50)) Size,
Tech
from yourtable
) x
unpivot
(
value
for col in (Name, Size, Tech)
) u
) x1
pivot
(
max(value)
for col in ('+ #colspivot +')
) p'
exec(#query)
See SQL Fiddle with Demo
If the result is not correct, then please edit your OP and post the result that you expect from both of the Ids you provided.
I have data like this:
MaGiangVienID | SoTiet1 | SoTiet2 | DateID
79000G07.000206 | 60 | 60.00 | t11
79000G07.000206 | 54 | 54.00 | t12
I want to my result like this:
MaGiangVienID | SoTiet1_t11 | SoTiet2_t11 | SoTiet1_t12 | SoTiet2_t12
79000G07.000206 | 60 | 60.00 | 54 | 54.00
I don't know how many columns because MaGiangVienID have a lot of DateID
Please help me!!Thanks a lot.
For this type of data transformation you need to apply both the UNPIVOT and PIVOT functions. The UNPIVOT takes the data from the multiple columns and places it into rows and then the PIVOT takes the rows and converts it back to columns.
To perform the UNPIVOT all of the values that you convert to rows must be the same datatype so conversion might be needed.
Unpivot:
select MaGiangVienID,
value,
col +'_'+DateId col
from
(
select MaGiangVienID,
cast(SoTiet1 as varchar(50)) SoTiet1,
cast(SoTiet2 as varchar(50)) SoTiet2,
DateID
from yourtable
) src
unpivot
(
value
for col in (SoTiet1, SoTiet2)
) unpiv
See SQL Fiddle with Demo. The result of the unpivot is:
| MAGIANGVIENID | VALUE | COL |
-----------------------------------------
| 79000G07.000206 | 60 | SoTiet1_t11 |
| 79000G07.000206 | 60.00 | SoTiet2_t11 |
| 79000G07.000206 | 54 | SoTiet1_t12 |
| 79000G07.000206 | 54.00 | SoTiet2_t12 |
As you see the UNPIVOT generates the new column names with the DateId appended to the end of it. Now you apply the PIVOT function.
Static PIVOT:
select MaGiangVienID, SoTiet1_t11, SoTiet2_t11, SoTiet1_t12, SoTiet2_t12
from
(
select MaGiangVienID,
value,
col +'_'+DateId col
from
(
select MaGiangVienID,
cast(SoTiet1 as varchar(50)) SoTiet1,
cast(SoTiet2 as varchar(50)) SoTiet2,
DateID
from yourtable
) src
unpivot
(
value
for col in (SoTiet1, SoTiet2)
) unpiv
) src
pivot
(
max(value)
for col in (SoTiet1_t11, SoTiet2_t11, SoTiet1_t12, SoTiet2_t12)
) piv
See SQL Fiddle with Demo
Now the above version works great if you have a known number of DateId values but you stated that you don't so you will want to implement this same query using dynamic sql.
Dynamic PIVOT:
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX)
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('yourtable') and
C.name not in ('MaGiangVienID', 'DateID')
for xml path('')), 1, 1, '')
select #colsPivot = STUFF((SELECT DISTINCT ','
+ quotename(c.name + '_'+t.DateId)
from yourtable t
cross apply sys.columns as C
where C.object_id = object_id('yourtable') and
C.name not in ('MaGiangVienID', 'DateID')
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select MaGiangVienID, '+#colsPivot+'
from
(
select MaGiangVienID, value, col +''_''+DateId col
from
(
select MaGiangVienID,
cast(SoTiet1 as varchar(50)) SoTiet1,
cast(SoTiet2 as varchar(50)) SoTiet2,
DateID
from yourtable
) src
unpivot
(
value
for col in ('+#colsUnpivot+')
) unpiv
) src
pivot
(
max(value)
for col in ('+ #colspivot +')
) p'
exec(#query)
See SQL Fiddle with Demo
Both versions produce the same result:
The result is:
| MAGIANGVIENID | SOTIET1_T11 | SOTIET2_T11 | SOTIET1_T12 | SOTIET2_T12 |
---------------------------------------------------------------------------
| 79000G07.000206 | 60 | 60.00 | 54 | 54.00 |
If you do not have access to the UNPIVOT/PIVOT functions then you can replicate the query. The UNPIVOT function can be replicated using a UNION ALL and the PIVOT can be produced using a CASE statement with an aggregate function:
select MaGiangVienID,
max(case when col = 'SoTiet1_t11' then value end) SoTiet1_t11,
max(case when col = 'SoTiet2_t11' then value end) SoTiet2_t11,
max(case when col = 'SoTiet1_t12' then value end) SoTiet1_t12,
max(case when col = 'SoTiet2_t12' then value end) SoTiet2_t12
from
(
select MaGiangVienID, 'SoTiet1_t11' col, cast(SoTiet1 as varchar(50)) value
from yourtable
where DateID = 't11'
union all
select MaGiangVienID, 'SoTiet2_t11' col, cast(SoTiet2 as varchar(50)) value
from yourtable
where DateID = 't11'
union all
select MaGiangVienID, 'SoTiet1_t12' col, cast(SoTiet1 as varchar(50)) value
from yourtable
where DateID = 't12'
union all
select MaGiangVienID, 'SoTiet2_t12' col, cast(SoTiet2 as varchar(50)) value
from yourtable
where DateID = 't12'
) src
group by MaGiangVienID
See SQL Fiddle with Demo
All versions will produce identical results.