Pivoting table in SQL - sql-server

i have a problem with approach how to pivot this table:
How can i convert this:
Would you be kind enough give me hints (not whole code) how to do this? i really dont know where should i start (i dont know whether it is typical pivoting unpivoting)
+------+------+--------+----------+-----------+-----+
| ColI | Col2 | Month | Turnover | Provision | Fee |
+------+------+--------+----------+-----------+-----+
| 123 | Asdf | 201810 | 10000 | 100 | 0,1 |
| 123 | Asdf | 201811 | 20000 | 200 | 0,2 |
| 123 | Asdf | 201812 | 30000 | 300 | 0,3 |
+------+------+--------+----------+-----------+-----+
into this:
+------+------+---------------+-----------------+------------+---------------+-----------------+------------+---------------+-----------------+-----------+
| ColI | Col2 | Turnover20810 | Provision201810 | Fee201810 | Turnover20811 | Provision201811 | Fee201811 | Turnover20812 | Provision201812 | Fee201812 |
+------+------+---------------+-----------------+------------+---------------+-----------------+------------+---------------+-----------------+-----------+
| 123 | Asdf | 10000 | 100 | 0,1 | 20000 | 200 | 0,2 | 30000 | 300 | 0,3 |
+------+------+---------------+-----------------+------------+---------------+-----------------+------------+---------------+-----------------+-----------+
Thank you!

Assuming that each ColI, Col2 group would only have a maximum of three records, then we can try pivoting using the help of ROW_NUMBER:
WITH cte AS (
SELECT *,
ROW_NUMBER() OVER (PARTITION BY ColI, Col2 ORDER BY Month) rn
FROM yourTable
)
SELECT
ColI,
Col2,
MAX(CASE WHEN rn = 1 THEN Turnover END) AS Turnover1,
MAX(CASE WHEN rn = 1 THEN Provision END) AS Provision1,
MAX(CASE WHEN rn = 1 THEN Fee END) AS Fee1,
MAX(CASE WHEN rn = 2 THEN Turnover END) AS Turnover2,
MAX(CASE WHEN rn = 2 THEN Provision END) AS Provision2,
MAX(CASE WHEN rn = 2 THEN Fee END) AS Fee2,
MAX(CASE WHEN rn = 3 THEN Turnover END) AS Turnover3,
MAX(CASE WHEN rn = 3 THEN Provision END) AS Provision3,
MAX(CASE WHEN rn = 3 THEN Fee END) AS Fee3
FROM cte
GROUP BY
ColI,
Col2;
Note that I did not hardwire more specific column names, to keep the query as general as possible. For example, perhaps there might be another ColI, Col2 group which would have a different three months.

By using Dynamic Sql
IF OBJECT_ID('tempdb..#TEMP') IS NOT NULL
DROP TABLE #TEMP
;WITH CTE (ColI , Col2 , Month , Turnover , Provision , Fee )
AS
(
SELECT 123 , 'Asdf' , 201810 , 10000 ,100 ,'0,1' UNION ALL
SELECT 123 , 'Asdf' , 201811 , 20000 ,200 , '0,2' UNION ALL
SELECT 123 , 'Asdf' , 201812 , 30000 ,300 , '0,3'
)
SELECT ColI , Col2,Turnover , Provision , Fee,MixedCol,Reqcol , ROW_NUMBER()OVER(ORDER BY (SELECT NULL)) AS Seq
INTO #Temp
FROM CTE
CROSS APPLY (VALUES (CONCAT('Turnover','_',[Month]),CAST(Turnover AS VARCHAR(20))),
(CONCAT('Provision','_',[Month]),CAST(Provision AS VARCHAR(20))),
(CONCAT('Fee','_',[Month]),CAST(Fee AS VARCHAR(20)))
)DT (MixedCol,Reqcol)
DECLARE #Sql nvarchar(max),
#DynamicColumn nvarchar(max),
#MaxDynamicColumn nvarchar(max)
SELECT #DynamicColumn = STUFF((SELECT ', '+QUOTENAME(CAST(MixedCol AS VARCHAR(100)))
FROM #TEMP ORDER BY Seq FOR XML PATH ('')),1,1,'')
SELECT #MaxDynamicColumn = STUFF((SELECT ', '+'MAX('+QUOTENAME(CAST(MixedCol AS VARCHAR(100)))+') AS '+QUOTENAME(CAST(MixedCol AS VARCHAR(100)))
FROM #TEMP ORDER BY Seq FOR XML PATH ('')),1,1,'')
SET #Sql=' SELECT ColI , Col2,'+ #MaxDynamicColumn+'
FROM
(
SELECT * FROM #TEMP
)AS src
PIVOT
(
MAX(Reqcol) FOR [MixedCol] IN ('+#DynamicColumn+')
) AS Pvt
GROUP BY ColI , Col2 '
EXEC (#Sql)
PRINT #Sql

Q: "...give me hints (not whole code) how to do this"
A: This example with dynamic transpose of table. You can try this. Unpivot your original table and transpose.
CREATE table #tbl (
color varchar(10), Paul int, John int, Tim int, Eric int);
insert #tbl select
'Red' ,1 ,5 ,1 ,3 union all select
'Green' ,8 ,4 ,3 ,5 union all select
'Blue' ,2 ,2 ,9 ,1;
select * FROM #tbl
--1) Transpose. Example without dynamic code. You create list of fields in query
select *
from #tbl
unpivot (value for name in ([Paul],[John],[Tim],[Eric])) up
pivot (max(value) for color in ([Blue],[Green],[Red])) p
--2) Transpose. Example with dynamic code, without names of fields.
DECLARE #cols NVARCHAR(MAX), #query NVARCHAR(MAX), #rows NVARCHAR(MAX)='';
-- XML with all values
SET #cols = STUFF(
(
SELECT DISTINCT
','+QUOTENAME(T.Color) -- Name of first column
FROM #tbl T FOR XML PATH(''), TYPE
).value('.', 'nvarchar(max)'), 1, 1, '');
SELECT #rows=#rows+','+QUOTENAME(Name)
FROM
(SELECT Name,ROW_NUMBER() OVER(ORDER BY column_id) AS 'RowNum'
FROM tempdb.sys.Columns
WHERE Object_ID = OBJECT_ID('tempdb..#tbl')
) AS A WHERE A.RowNum>1
SET #rows=STUFF(#rows,1,1,'')
SET #query='SELECT *
from #tbl
unpivot (value for name in ('+#rows+')) up
pivot (max(value) for color in ('+#Cols+')) p'
EXEC (#query)

Related

How to retrieve a different attribute from a row with multiple different and repeated values into a new column?

I have a table that looks like this:
att1 att2
| a | 1 |
| a | 2 |
| b | 2 |
| b | 3 |
| c | 1 |
| c | 2 |
| c | 2 |
And I need the different record of att2 for the duplicate value on att1 to be grouped into a new column like this
att1 att2 att3
| a | 1 | 2 |
| b | 2 | 3 |
| c | 1 | 2 |
I tried to pivot, I tried to self join, but I can't seem to find the query to separate the values like this. Can someone please help me? Thanks
you can use a dynamic pivot query like below
see demo link
create table tt (att1 varchar(10), att2 int)
insert into tt values
('a',1)
,('a',2)
,('b',2)
,('b',3)
,('c',1)
,('c',2)
,('c',2)
go
declare #q varchar(max), #cols varchar(max)
set #cols
= STUFF((
SELECT distinct ',' +
QUOTENAME('att '+
cast(1+ row_number() over (partition by att1 order by att2 ) as varchar(max))
)
FROM (select distinct att1,att2 from tt)tt --note this distinct
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #q=
'select
att1,'+ #cols +
' from
(
select
att1,att2,
''att ''+
cast(1+row_number() over (partition by att1 order by att2 ) as varchar(max)) as r
from
(select distinct att1,att2 from tt)tt
)I
pivot
(
max(att2)
for r in ('+#cols+')
)piv'
exec(#q)
Any query like this always smells like report formatting, rather than genuine data requirement, which should probably be done in a reporting tool rather than a database. But as with all things it is possible with enough code.
This should work for you.
create table #t (att1 nvarchar(max) ,att2 int);
insert #t select 'a', 1 union all select 'a', 2;
insert #t select 'b', 2 union all select 'b', 3;
insert #t select 'c', 1 union all select 'c', 2 union all select 'c', 2;
select att1, 1 as att2, 2 as att3 from
(
select att1, att2, row_number() over (partition by att1 order by att1, att2) as r
from (select distinct att1, att2 from #t) as x
) src
pivot ( avg(att2) for r in ([1],[2])) p;
drop table #t;
The first step is to get the distinct values in your table, and then sort and group them by att1. I'm doing this with a row_number() command, which looks like this:
select att1, att2, row_number() over (partition by att1 order by att1, att2) as r
from (select distinct att1, att2 from #t) as x ;
att1 attr2 r
a 1 1
a 2 2
b 2 1
b 3 2
c 1 1
c 2 2
From there the pivot command transforms rows into columns. The catch with the pivot command is that the names of those new columns need to be data driven; during your row_number command you could provide better names, or you can alias them as I have done here.
Finally, this only works when there are only two values to pivot. To add more, modify the for r in ([1], [2]) line to include e.g. 3, 4, etc.

How can we pivot the query in the following way in the image

I try to make pivot the table to the following image but i failed , the final result i need is as follow
and the query i used is
SELECT COUNT(T.TTOutID) AS Currenct, TTOutTargetTrxnCount AS Targets,
B.BranchCode ,
ROW_NUMBER() OVER (Order BY COUNT(T.TTOutID) DESC) AS RANK,
CAST((CAST (COUNT(T.TTOutID) AS DECIMAL)/CAST (TTOutTargetTrxnCount AS decimal))*100 AS decimal (4,2)) AS Percentages ,
TTOutTargetTrxnCount-COUNT(T.TTOutID) as Difference
FROM ALX_SalesTargets S
LEFT JOIN ALX_TTOut T ON S.BranchID=T.BranchID
LEFT JOIN ALX_Branches B ON S.BranchID=B.BranchID
Group BY S.TTOutTargetTrxnCount,B.BranchCode
and i make a tmp table for help
CREATE TABLE #Tempsample
(
currenct int ,
targets bigint,
branchcode nvarchar(128),
rank int,
percentage decimal,
difference int
);
INSERT INTO #Tempsample
(currenct, targets,branchcode,rank,percentage,difference)
VALUES
('131', '2650','EXB', '1','4.94', '2519'),
('25', '3500','MHQ', '2','0.71', '3475'),
('3', '850','MNM', '3','0.35', '847')
using cross apply(values ...) to unpivot your data, and conditional aggregation to re-pivot your data:
select
u.Attribute
, EXB = max(case when branchcode = 'EXB' then value end)
, MHQ = max(case when branchcode = 'MHQ' then value end)
, MNM = max(case when branchcode = 'MNM' then value end)
, Totals = sum(case when u.Attribute = 'rank' then null else value end)
from #tempsample t
cross apply (values
('currenct',currenct)
, ('targets',targets)
, ('difference',difference)
, ('rank',rank)
) u (attribute,value)
group by u.Attribute
order by (case when u.Attribute='rank' then 1 else 0 end)
rextester demo: http://rextester.com/WLES86332
returns:
+------------+------+------+-----+--------+
| Attribute | EXB | MHQ | MNM | Totals |
+------------+------+------+-----+--------+
| currenct | 131 | 25 | 3 | 159 |
| difference | 2519 | 3475 | 847 | 6841 |
| targets | 2650 | 3500 | 850 | 7000 |
| rank | 1 | 2 | 3 | NULL |
+------------+------+------+-----+--------+
You can try pivot like this:
select 'Targets' as [Header], * from (
select targets, branchcode from #Tempsample ) a
pivot (sum(targets) for branchcode in ([EXB], [MHQ], [MNM])) p
union all
select 'Current' as [Header],* from (
select currenct, branchcode from #Tempsample ) a
pivot (sum(currenct) for branchcode in ([EXB], [MHQ], [MNM])) p
union all
select 'Difference' as [Header], * from (
select difference, branchcode from #Tempsample ) a
pivot (sum(difference) for branchcode in ([EXB], [MHQ], [MNM])) p
union all
select 'Rank' as [Header], * from (
select Rank, branchcode from #Tempsample ) a
pivot (MAX(rank) for branchcode in ([EXB], [MHQ], [MNM])) p

PIVOT with multiple columns

I am trying to pivot on two columns in SQL Server 2008 on an invoice table. So I have data like the follows:
+--------------+--------+---------+------+
| Invoice Date | Item # | Dollars | Lbs. |
+--------------+--------+---------+------+
| 1/1/14 | A | 1 | 1 |
| 1/2/14 | B | 2 | 2 |
| 1/3/14 | A | 3 | 3 |
| 1/4/14 | B | 4 | 4 |
| 2/1/14 | A | 5 | 5 |
| 2/1/14 | B | 6 | 6 |
+--------------+--------+---------+------+
I would like to display it as
+--------+--------------+-----------------+--------------+-----------------+
| Item # | 1/31/14 Lbs. | 1/31/14 Dollars | 2/28/14 Lbs. | 2/28/14 Dollars |
+--------+--------------+-----------------+--------------+-----------------+
| A | 4 | 4 | 5 | 5 |
| B | 6 | 6 | 6 | 6 |
+--------+--------------+-----------------+--------------+-----------------+
Note the column name is the last day of that month and either dollars or pounds. I can do it just fine one column (either pounds or dollars) however I can't do it on both.
Here is my example code for just pounds:
DECLARE
#v_Columns VARCHAR(MAX),
#v_Query VARCHAR(MAX)
--pivot and delimit values
SELECT #v_Columns = COALESCE(#v_Columns,'[') + convert(varchar(8), InvoiceDate, 1) + ' Lbs.' + '],['
FROM
( SELECT DISTINCT dbo.ufn_GetLastDayOfMonth(InvoiceDate) As InvoiceDate
FROM Invoice
WHERE InvoiceDate BETWEEN #BEGIN_DATE AND #END_DATE
ORDER BY InvoiceDate
--delete last two chars of string (the ending ',[')
SET #v_Columns = SUBSTRING(#v_Columns, 1, LEN(#v_Columns)-2)
PRINT #v_Columns
--construct sql statement
SET #v_Query =
'WITH AllOrders (LastInvoiceDate, Item, Pounds) AS
(
SELECT
CONVERT(varchar(8), dbo.ufn_GetLastDayOfMonth(Invoice.InvoiceDate), 1) + ''' + ' Lbs.' + ''' As LastInvoiceDate,
Item,
Pounds
FROM INVOICE
WHERE InvoiceDate BETWEEN #BEGIN_DATE AND #END_DATE
)
SELECT *
FROM AllOrders
PIVOT
(
SUM(QuantityShipped)
FOR LastInvoiceDate IN (' + #v_Columns + ')
) AS pivotview'
Thank you all in advance!
In order to get the result you are going to have to either PIVOT twice or UNPIVOT the Dollars and Lbs columns into a single column and then apply the PIVOT once. My preference would be to unpivot and then pivot because I find it to be much easier.
Instead of working dynamically first, you should write the query as a static or hard-coded version to get the logic correct, then convert it to dynamic SQL. The example that I have uses your final dates 201-01-31, etc because you are using a function to create those dates and should be able to apply that as needed.
Since you are using SQL Server 2005+, you can use CROSS APPLY to unpivot Dollars and Lbs. The code will be similar to the following:
select
t.ItemNo,
new_col = convert(varchar(10), t.[invoice date], 120) + '_'+ c.col,
c.value
from yourtable t
cross apply
(
select 'Dollars', Dollars union all
select 'Lbs', Lbs
) c (col, value);
See SQL Fiddle with Demo. This converts your data to the following format:
| ITEMNO | NEW_COL | VALUE |
|--------|--------------------|-------|
| A | 2014-01-31_Dollars | 1 |
| A | 2014-01-31_Lbs | 1 |
| B | 2014-01-31_Dollars | 2 |
| B | 2014-01-31_Lbs | 2 |
| A | 2014-01-31_Dollars | 3 |
I've concatenated into new_col the final column names that you'll need. Again you can format the date in whatever format you need, I just used 2014-01-31 and added the Dollars or Lbs to the end of it. Once you've got the data, you will PIVOT the values into your final desired result:
select ItemNo,
[2014-01-31_Lbs], [2014-01-31_Dollars],
[2014-02-28_Lbs], [2014-02-28_Dollars]
from
(
select
t.ItemNo,
new_col = convert(varchar(10), t.[invoice date], 120) + '_'+ c.col,
c.value
from yourtable t
cross apply
(
select 'Dollars', Dollars union all
select 'Lbs', Lbs
) c (col, value)
) d
pivot
(
sum(value)
for new_col in ([2014-01-31_Lbs], [2014-01-31_Dollars],
[2014-02-28_Lbs], [2014-02-28_Dollars])
) p;
See SQL Fiddle with Demo. Now you've got the result you want, so simply convert it to dynamic SQL:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(convert(varchar(10), t.[invoice date], 120) + '_'+ c.col)
from yourtable t
cross apply
(
select 'Lbs', 0 union all
select 'Dollars', 1
) c (col, so)
group by [invoice date], col, so
order by [invoice date], so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT ItemNo,' + #cols + '
from
(
select
t.ItemNo,
new_col = convert(varchar(10), t.[invoice date], 120) + ''_''+ c.col,
c.value
from yourtable t
cross apply
(
select ''Dollars'', Dollars union all
select ''Lbs'', Lbs
) c (col, value)
) d
pivot
(
sum(value)
for new_col in (' + #cols + ')
) p '
exec sp_executesql #query;
See SQL Fiddle with Demo. This give a final result of:
| ITEMNO | 2014-01-31_LBS | 2014-01-31_DOLLARS | 2014-02-28_LBS | 2014-02-28_DOLLARS |
|--------|----------------|--------------------|----------------|--------------------|
| A | 4 | 4 | 5 | 5 |
| B | 6 | 6 | 6 | 6 |
Here is your sample table
CREATE TABLE #TEMP([Invoice Date] DATE,[Item #] VARCHAR(10),[DollarS] NUMERIC(10,0),[Lbs.] NUMERIC(10,0))
INSERT INTO #TEMP VALUES ('1/1/14', 'A',1,1)
INSERT INTO #TEMP VALUES ('1/2/14', 'B',2,2)
INSERT INTO #TEMP VALUES ('1/3/14', 'A',3,3)
INSERT INTO #TEMP VALUES ('1/4/14', 'B',4,4)
INSERT INTO #TEMP VALUES ('2/1/14', 'A',5,5)
INSERT INTO #TEMP VALUES ('2/1/14', 'B',6,6)
Now you need to apply UNION ALL(instead of UNPIVOT) and bring columns to row and combine the columns, get the order of columns as Date+LBS/DOLLARS.
SELECT DISTINCT DENSE_RANK() OVER(ORDER BY CAST(LASTDAY AS DATE),UNIT DESC)RNO,*,
CAST(DATEPART(MONTH,LASTDAY)AS VARCHAR) +'/'+ CAST(DATEPART(DAY,LASTDAY)AS VARCHAR) +'/' +RIGHT(CAST(YEAR(LASTDAY)AS VARCHAR),2)+' ' +UNIT PIVOTCOL
INTO #NEWTABLE
FROM
(
SELECT [Item #],'DOLLARS' UNIT,
DATEADD(s,-1,DATEADD(mm, DATEDIFF(m,0,[Invoice Date])+1,0))LASTDAY,
SUM([Dollars]) OVER(PARTITION BY [Item #],DATEADD(s,-1,DATEADD(mm, DATEDIFF(m,0,[Invoice Date])+1,0))) VALUE
FROM #TEMP
UNION ALL
SELECT [Item #], 'LBS.',
DATEADD(s,-1,DATEADD(mm, DATEDIFF(m,0,[Invoice Date])+1,0))LASTDAY,
SUM([Lbs.]) OVER(PARTITION BY [Item #],DATEADD(s,-1,DATEADD(mm, DATEDIFF(m,0,[Invoice Date])+1,0))) DOLLARSUM
FROM #TEMP
)TAB
Now declare the query to get the columns dynamically and to set NULL to Zero
DECLARE #cols NVARCHAR (MAX)
DECLARE #NullToZeroCols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + PIVOTCOL + ']',
'[' + PIVOTCOL + ']')
FROM (SELECT DISTINCT RNO,PIVOTCOL FROM #NEWTABLE) PV
ORDER BY RNO
PRINT #COLS
SET #NullToZeroCols = SUBSTRING((SELECT ',ISNULL(['+PIVOTCOL+'],0) AS ['+PIVOTCOL+']'
FROM(SELECT DISTINCT RNO,PIVOTCOL FROM #NEWTABLE GROUP BY RNO,PIVOTCOL)TAB
ORDER BY RNO FOR XML PATH('')),2,8000)
Now pivot the query
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT [Item #],' + #NullToZeroCols + ' FROM
(
SELECT [Item #],VALUE,PIVOTCOL FROM #NEWTABLE
) x
PIVOT
(
SUM(VALUE)
FOR PIVOTCOL IN (' + #cols + ')
) p
ORDER BY [Item #];'
EXEC SP_EXECUTESQL #query
SQL FIDDLE
RESULT

Converting multiple rows to columns with specified heading

I have a table that holds details of activities carried out by individuals - contents of this table is similar to the following:
| Person | Category | Activity |
--------------------------------------
| Username1 | X | X1 |
| Username1 | Y | Y1 |
| Username1 | Z | Z1 |
I need a SQL query that can produce something like the following and any help would be appreciated:
| Person | Cat1 | Cat1_Act|Cat2 | Cat2_Act| Cat3 | Cat3_Act |
---------------------------------------------------------------
| Username1 | X | X1 | Y | Y1 | Z | Z1 |
I understand reading through a number of posts that PIVOT can be used to achieve this but I have not been to find a solution close to what I need as most solutions are often to use values e.g 'X', 'Y', 'Z' (in my example table) as table headers but I want to ideally be able to specify name for the table headers holding the new columns (Hope this all makes sense and someone can help :-) )
There are several ways that you can get the desired result. If you have a limited number of values that you want to PIVOT into columns, then you can hard-code the query a few different ways.
Aggregate function with CASE:
select
person,
max(case when seq = 1 then category end) Cat1,
max(case when seq = 1 then activity end) Cat1_Act,
max(case when seq = 2 then category end) Cat2,
max(case when seq = 2 then activity end) Cat2_Act,
max(case when seq = 3 then category end) Cat3,
max(case when seq = 3 then activity end) Cat3_Act
from
(
select person, category, activity,
row_number() over(partition by person
order by category) seq
from yourtable
) d
group by person;
See SQL Fiddle with Demo. By assigning a sequence or row_number to each category per user, you can use this row number to convert the rows into columns.
Static PIVOT:
If you want to apply the PIVOT function, then I would first suggest unpivoting the category and activity columns into multiple rows and then apply the pivot function.
;with cte as
(
select person, category, activity,
row_number() over(partition by person
order by category) seq
from yourtable
)
select person,
cat1, cat1_act,
cat2, cat2_act,
cat3, cat3_act
from
(
select t.person,
col = case
when c.col = 'cat' then col+cast(seq as varchar(10))
else 'cat'+cast(seq as varchar(10))+'_'+col
end,
value
from cte t
cross apply
(
select 'cat', category union all
select 'act', activity
) c (col, value)
) d
pivot
(
max(value)
for col in (cat1, cat1_act, cat2, cat2_act,
cat3, cat3_act)
) piv;
See SQL Fiddle with Demo
Dynamic PIVOT: Finally if you have an unknown number of values then you can use dynamic SQL to get the result:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ','
+ QUOTENAME(case
when d.col = 'cat' then col+cast(seq as varchar(10))
else 'cat'+cast(seq as varchar(10))+'_'+col end)
from
(
select row_number() over(partition by person
order by category) seq
from yourtable
) t
cross apply
(
select 'cat', 1 union all
select 'act', 2
) d (col, so)
group by col, so, seq
order by seq, so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT person, ' + #cols + '
from
(
select t.person,
col = case
when c.col = ''cat'' then col+cast(seq as varchar(10))
else ''cat''+cast(seq as varchar(10))+''_''+col
end,
value
from
(
select person, category, activity,
row_number() over(partition by person
order by category) seq
from yourtable
) t
cross apply
(
select ''cat'', category union all
select ''act'', activity
) c (col, value)
) x
pivot
(
max(value)
for col in (' + #cols + ')
) p '
execute sp_executesql #query;
See SQL Fiddle with Demo. All versions give a result:
| PERSON | CAT1 | CAT1_ACT | CAT2 | CAT2_ACT | CAT3 | CAT3_ACT |
| Username1 | X | X1 | Y | Y1 | Z | Z1 |
this is a simple example
SELECT
Person,
MAX(CASE Category WHEN 'X' THEN Activity ELSE 0 END) AS 'X'
MAX(CASE Category WHEN 'Y' THEN Activity ELSE 0 END) AS 'Y'
MAX(CASE Category WHEN 'Z' THEN Activity ELSE 0 END) AS 'Z'
FROM mytable
GROUP BY Person

SQL Server query split table

Not sure how it calls, I need to do this:
+---------------+
| param | value |
| 1 | 3 |
| 1 | 3 |
| 2 | 4 |
| 2 | 4 |
+-------+-------+
to
+-----------------+
| param1 | param2 |
| 3 | 4 |
| 3 | 4 |
+-------+---------+
Is it possible without INNER JOIN ?
Where is my error?
SELECT TOP 10
dbo.RW_ReceivedData.[Value] AS Value1,
dbo.RW_ReceivedData.[Value] AS Value2
FROM
RW_ReceivedData
WHERE
dbo.RW_ReceivedData.LogicalName = CAST(0x01000F0800FF AS varbinary(8000)),
dbo.RW_ReceivedData.LogicalName = CAST(0x01000F0800FF AS varbinary(8000))
This should work:
DECLARE #cols NVARCHAR(4000)
= STUFF(
(
SELECT DISTINCT ',[' + CAST(param AS VARCHAR(10)) + ']'
FROM tbl
FOR XML PATH('')
),1,1,'')
DECLARE #colNames NVARCHAR(4000)
= STUFF(
(
SELECT DISTINCT ',[' + CAST(param AS VARCHAR(10)) + '] AS param' + CAST(param AS VARCHAR(10))
FROM tbl
FOR XML PATH('')
),1,1,'')
DECLARE #sql NVARCHAR(4000) =
'
SELECT '+#colNames+'
FROM
(
SELECT *, ROW_NUMBER() OVER (PARTITION BY param ORDER BY param) n
FROM tbl
) t
PIVOT
(
MIN(value) FOR param IN ('+#cols+')
) pvt'
EXEC(#sql)
Here is SQL Fiddle
This approach uses dynamic PIVOT. In order to get the expected result ROW_NUMBER() with partitioning was used since values in param column are not unique.
UPDATE
You can also try it like this, but you have to manually add columns to the query:
SELECT SUM(CASE WHEN param = 1 THEN value ELSE 0 END) param1
, SUM(CASE WHEN param = 2 THEN value ELSE 0 END) param2
, SUM(CASE WHEN param = 3 THEN value ELSE 0 END) param3
FROM
(
SELECT *
, ROW_NUMBER() OVER (PARTITION BY param ORDER BY param) num
FROM tbl
) t
GROUP BY
num
SQL Fiddle
If you don't want columns to be automatically handled, you can just use static PIVOT:
SELECT [1] AS param1
,[2] AS param2
FROM (
SELECT *
, ROW_NUMBER() OVER (PARTITION BY param ORDER BY param) n
FROM tbl) t
PIVOT (
MIN(value) FOR param IN ([1],[2])
) pvt

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