I want to change my data from this:
ID
Date
2245873
03-JAN
2245873
03-JAN
2245873
04-JAN
8394313
03-JAN
8394313
04-JAN
8394313
05-JAN
3446512
31-DEC
3446512
20-JAN
617828
31-DEC
617828
03-JAN
617828
20-JAN
61342
02-JAN
to this:
ID
date1
date2
date3
2245873
03-JAN
04-JAN
8394313
03-JAN
04-JAN
05-JAN
3446512
31-DEC
20-JAN
617828
31-DEC
03-JAN
20-JAN
61342
02-JAN
Remove the duplicate values for each ID (see ID=2245873),
List the dates associated with each ID in a row,
I don't know how many dates each ID has so the number of columns I need is unknown, is this possible?
I also need to be able to merge this new table with another, so it needs to be a view or alter table?
If there are no more dates associated with an ID I want the cell to be null
Table name: dbo.rem
I have taken the dynamic pivot columns formation part from the below answer
dynamic pivot query
The below logic should work
declare #tbl table(id int, date varchar(50))
insert into #tbl values(2245873,'03-Jan')
,(2245873,'03-Jan'),(2245873,'04-Jan')
,(8394313,'03-Jan'),(8394313,'05-Jan'),(8394313,'07-Jan')
select distinct * into #temp
--,ROW_NUMBER()over(order by id) rownum
from #tbl
-- This part is to generate row numbers and form the dates
select id,date,
'date' + convert(varchar,rownum) as 'datetobepivoted' into #temp1
from(
select *,ROW_NUMBER()over(partition by id order by id) rownum from #temp
)t
declare #pivotcolstbl varchar(200) = (STUFF((SELECT distinct ',isnull(' + QUOTENAME(c.datetobepivoted) + ', '''') ' + c.datetobepivoted
FROM #temp1 c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,''))
declare #pivotcols varchar(200) = (STUFF((SELECT distinct ',' + QUOTENAME(c.datetobepivoted)
FROM #temp1 c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,''))
declare #query varchar(max)
set #query = '
SELECT id, ' + #pivotcolstbl + ' from
(select id,date,datetobepivoted from #temp1)t
pivot(
max(date) for datetobepivoted in (' + #pivotcols + '))t1
'
exec(#query)
drop table #temp
drop table #temp1
Note: max aggregate function works on varchar too !
Does this work?
Trying to do a dynamic PIVOT similar to the other post linked above, but adding a field using 'Day' as a string and DENSE_RANK to determine the output columns (Date1, Date2, Date3...)
This is used both to set the #cols variable, and within the SELECT statement in brackets - where the resultant field is named [xdate].
When pivoted, it is these values that appear as column names alongside your original ID, then populated with specific dates relevent to that ID... hopefully!
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT DISTINCT ',' + QUOTENAME('Date'+ CAST(DENSE_RANK() OVER (PARTITION BY [ID] ORDER BY [date]) AS VARCHAR(MAX)) )
from sourcetable yt
group by [ID], [date]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT [ID],' + #cols + ' from
(
select [ID], [Date], ''Date''+ CAST(DENSE_RANK() OVER (PARTITION BY [ID] ORDER BY [date]) AS VARCHAR(MAX)) as [xdate]
from sourcetable yt
) x
pivot
(
MAX([date] )
for [xdate] in (' + #cols + ')
) p '
EXECUTE(#query)
GO
Related
I have a table in which information about a stock for an items are available.
This is how the table looks like:
ITEMCODE DATE INSTOCK
-----------------------------
ABC001 2019-01-04 10
ABC001 2019-02-04 10
ABC001 2019-03-04 10
ABC001 2019-04-04 5
ABC001 2019-05-04 5
Is it possible to get output like this:
Itemcode 01/04/2019 02/04/2019 03/04/2019 04/04/2019 05/04/2019
-------------------------------------------------------------------------
ABC001 10 10 10 5 5
This is the query which i have used...
SELECT T0.ITEMCODE,T0.INSTOCK
FROM DBO.TABLE_2 T0
WHERE T0.DATE >='[%0]'AND T0.DATE <= '[%1]'
But after doing some research, I have found out its possible using pivot table...
How to modify my query in order to get the desired output
I was able to get it with the code below, you just need to replace #table with your table name. Also ignore the first part of the code that sets up the table.
There are similar questions/answers here: SQL Server dynamic PIVOT query?
-------------------------------------------------------------------
IF OBJECT_ID('tempdb..#table') IS NOT NULL
BEGIN
DROP TABLE #table
END
CREATE TABLE #table(ITEMCODE VARCHAR(10),DATE date,INSTOCK int)
insert into #table values('ABC001','2019-01-04',10)
insert into #table values('ABC001','2019-02-04',10)
insert into #table values('ABC001','2019-03-04',10)
insert into #table values('ABC001','2019-04-04',5)
insert into #table values('ABC001','2019-05-04',5)
-------------------------------------------------------------------
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(c.DATE)
FROM #table c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT ITEMCODE, ' + #cols + ' from
(
select ITEMCODE
, DATE
, INSTOCK
from #table
) x
pivot
(
sum(INSTOCK)
for DATE in (' + #cols + ')
) p '
execute(#query)
I have a table with a columns for case ID, Action, and reason.
a single case ID can have multiple rows with different actions and codes. I can pivot and get multiple rows with columns action1, action2, action3, etc., but for the life of me, can't get case id, action1, reason1, action2, reason2, etc on a single row.
If you need to go a little more dynamic (n reasons)
Drop Table #Temp
Declare #YourTable table (ID int,Action varchar(50),Reason varchar(50))
Insert Into #YourTable values
(1,'Load Data','Boss said to'),
(1,'Run Query','It is what I do'),
(2,'Take Garbage Out','Wife makes me')
-- Convert Data to EAV Structure'ish
Declare #XML xml = (Select *,GrpSeq = Row_Number() over (Partition By ID Order By (Select NULL)) from #YourTable for XML RAW)
Select ID = r.value('#ID','int')
,ColSeq = Row_Number() over (Partition By r.value('#ID','int') Order By (Select NULL))
,Element = attr.value('local-name(.)','varchar(100)')+r.value('#GrpSeq','varchar(10)')
,Value = attr.value('.','varchar(max)')
Into #Temp
From #XML.nodes('/row') as A(r)
Cross Apply A.r.nodes('./#*') AS B(attr)
Where attr.value('local-name(.)','varchar(100)') not in ('ID','GrpSeq')
-- Get Cols in correct Order
Declare #Cols varchar(max)
Set #Cols = Stuff((Select ',' + QuoteName(Element)
From (Select Distinct Top 100 Percent ColSeq,Element From #Temp Order By ColSeq ) A
For XML Path(''), Type
).value('.', 'varchar(max)'),1,1,'')
-- Execute Dynamic Pivot
Declare #SQL varchar(max) = '
Select *
From (Select ID,Element,Value From #Temp) T
Pivot (
max(Value)
For [Element] in (' + #Cols + ')
) P '
Exec(#SQL)
Returns
I'm having trouble figuring this out. I've checked similar posts but they only have one column as pivoted as a row. While I need to pivot
I have the following query:
SELECT
Year([Date]) as Year
,SUM([Drop]) as [Drop]
,SUM([TicketsDistributed]) as [TicketsDistributed]
,SUM([TicketsSold]) as [TicketsSold]
,SUM([GrossTickets]) as [GrossTickets]
,SUM([GrossTickets])/SUM(TicketsSold) as 'Per Cap'
FROM [dbo].[Tickets]
group by [Date]
Which give me this result:
Year Drop TicketsDistributed TicketsSold GrossTickets Per Cap
2016 222 100 5000 4000.00 0.800000
2015 222 110 5000 4000.00 0.900000
2014 222 120 5000 4000.00 1.00000
And I would like the following:
2016 2015 2014
Drop 222 222 222
TicketsDistributed 100 110 120
TicketsSold 5000 5000 5000
GrossTickets 4000 4000 4000
Per Cap 0.8 0.9 1
Based on the suggested answer this is what I have so far but it's not working
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(Year(Date))
from [dbo].[SpringTrainings] t
cross apply
(
select SUM([Drop]) as [Drop]
,SUM([TicketsDistributed]) as [TicketsDistributed]
,SUM([TicketsSold]) as [TicketsSold]
,SUM([GrossTickets]) as [GrossTickets]
,SUM([GrossTickets])/SUM(TicketsSold) as PerCap
FROM [dbo].[SpringTrainings]
) c ([Drop],[TicketsDistributed],[TicketsSold],[GrossTickets],PerCap)
group by Year(Date)
order by Year(Date)
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT [Drop],[TicketsDistributed],[TicketsSold],[GrossTickets],PerCap,' + #cols + '
from
(
select SUM([Drop]) as [Drop]
,SUM([TicketsDistributed]) as [TicketsDistributed]
,SUM([TicketsSold]) as [TicketsSold]
,SUM([GrossTickets]) as [GrossTickets]
,SUM([GrossTickets])/SUM(TicketsSold) as PerCap
FROM [dbo].[SpringTrainings]
) x
pivot
(
max(Year([Date]))
for Year([Date]) in (' + #cols + ')
) p '
execute sp_executesql #query;
If you wish to keep using the pivot operator within T-SQL, then first you need to "unpivot" your existing query so you have Year, Label, and Value. While there is an unpivot operator in T-SQL personally I find using CROSS APPLY and VALUES to be much simpler and equally as fast (for more on his approach read this article by Brad Schultz), I particularly like it because I can visualize the result easily by the way I layout the value pairs.
SELECT
d.Year
, a.label
, a.value
FROM (
SELECT
YEAR([Date]) AS [Year]
, SUM([Drop]) AS [Drop]
, SUM([TicketsDistributed]) AS [TicketsDistributed]
, SUM([TicketsSold]) AS [TicketsSold]
, SUM([GrossTickets]) AS [GrossTickets]
, SUM([GrossTickets]) / SUM(TicketsSold) AS [PerCap]
FROM [dbo].[Tickets]
GROUP BY
[Year]
) AS t
CROSS APPLY ( /* now transform into 5 rows per year but just 1 value column */
VALUES
('Drop',t.Drop)
, ('TicketsDistributed',t.TicketsDistributed)
, ('TicketsSold',t.TicketsSold)
, ('GrossTickets',t.GrossTickets)
, ('PerCap',t.PerCap)
) AS a (label, value)
That query (above) replaces the derived table x in your dynamic SQL. Once the data has been massaged into that form the pivot looks way simpler:
) x
pivot
(
max([x.Value])
for [x.Year] in ([2014],[2015],[2016])
) p
For your #cols I would suggest something simple like this:
SELECT DISTINCT
QUOTENAME(Year([date]))
FROM [dbo].[Tickets]
TIP: if you need a way to order the rows, include that in the cross apply too, like this:
CROSS APPLY ( /* now transform into 5 rows per year but just 1 value column */
VALUES
(1, 'Drop',t.Drop)
, (2, 'TicketsDistributed',t.TicketsDistributed)
, (3, 'TicketsSold',t.TicketsSold)
, (4, 'GrossTickets',t.GrossTickets)
, (5, 'PerCap',t.PerCap)
) AS a (row_order, label, value)
and then that [row_order] can be used after the pivot is performed.
So the overall could look like this:
DECLARE #cols AS nvarchar(max)
, #query AS nvarchar(max)
SELECT #cols = STUFF((
SELECT DISTINCT
',' + QUOTENAME(YEAR([date]))
FROM [dbo].[Tickets]
FOR xml PATH (''), TYPE
)
.value('.', 'NVARCHAR(MAX)')
, 1, 1, '')
SET #query = 'SELECT [Year], [Label], '
+ #cols
+ ' FROM (
SELECT
d.Year
, a.label
, a.value
FROM (
SELECT
YEAR([Date]) AS [Year]
, SUM([Drop]) AS [Drop]
, SUM([TicketsDistributed]) AS [TicketsDistributed]
, SUM([TicketsSold]) AS [TicketsSold]
, SUM([GrossTickets]) AS [GrossTickets]
, SUM([GrossTickets]) / SUM(TicketsSold) AS [PerCap]
FROM [dbo].[Tickets]
GROUP BY
[Year]
) AS d
CROSS APPLY (
VALUES
(1,''Drop'',t.Drop)
, (2,''TicketsDistributed'',t.TicketsDistributed)
, (3,''TicketsSold'',t.TicketsSold)
, (4,''GrossTickets'',t.GrossTickets)
, (5,''PerCap'',t.PerCap)
) AS a (row_order,label,value)
) x
pivot
(
max([x.Value])
for [x.Year] in (' + #cols + ')
) p
ORDER BY [row_order]'
EXECUTE sp_executesql #query;
In the below image I have current data and expected data based on the first three columns the data need to get transpose
Table query:
drop table ##Test
CREATE TABLE ##Test
(paymentid varchar(30),
claimid bigint,
Lineno1 int,
groupcode varchar(2),
Carc int,
adjustmentamt float,
RARC varchar(30),
Edit1 varchar(30),
Remit varchar(30),
)
INSERT INTO ##Test
(paymentid ,
claimid ,
Lineno1 ,
groupcode ,
Carc ,
adjustmentamt ,
RARC ,
Edit1 ,
Remit )
VALUES
('QP18502291',14205893514,2,'CO',84,75.55,'N20','','D18')
('QP15930339',14127612308,1,'OA',23,263,'','ClaimDetail.COBAmt','') ,
('QP15930339',14127612308,1,'OA',23,21.69,'','ClaimDetail.COBAmt',''),
('QP18502291',14205893514,2,'OA',23,78.77,'','ClaimDetail.COBAmt',''),
('QP18502291',14205893514,2,'OA',97,66.55,'N20','','D18')
select * from ##Test
Possible duplicate post and take a look at the solution.
See SQL Fiddle with Demo.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(col+cast(rn as varchar(10)))
from
(
select row_number() over(partition by paymentid order by Lineno1) rn
from ##Test
) d
cross apply
(
select 'groupcode', 1 union all
select 'carc', 2 union all
select 'adjustmentamt', 3 UNION ALL
SELECT 'rarc',4 UNION ALL
SELECT 'Edit1' ,5 UNION ALL
SELECT 'remit',6
) c (col, so)
group by col, rn, so
order by rn, so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT paymentid, claimid,Lineno1,' + #cols + '
from
(
select paymentid, claimid,Lineno1, col+cast(rn as varchar(10)) col, value
from
(
select paymentid, claimid,Lineno1, groupcode, carc, adjustmentamt,rarc,Edit1,remit,
row_number() over(partition by paymentid order by Lineno1) rn
from ##Test
) t
cross apply
(
select ''groupcode'', groupcode union all
select ''carc'', cast(carc as varchar(50)) union all
select ''adjustmentamt'', cast(adjustmentamt as varchar(50)) union all
select ''rarc'', rarc union all
select ''Edit1'' , Edit1 union all
select ''remit'' , remit
) c (col, value)
) x pivot
(
max(value)
for col in (' + #cols + ')
) p '
execute(#query)
This is probably simple but I"m just not seeing it. Your help is appreciated. I have a table in MS SQLServer that looks like this
CustomerID Time ItemID
1 2008-10-07 06:32:53:00.000 87432
1 2008-10-07 06:32:53:00.000 26413
2 2010-06-23 03:45:10:00.000 6312
2 2011-09-14 07:36:03:00.000 87432
2 2011-09-14 07:36:03:00.000 87432
I want to end up with a table that has each customer, the timestamp and the count of the items purchased during that timestamp, that looks like this
CustomerID Time 87432 26413 6312
1 2008-10-07 06:32:53:00.000 1 1 0
2 2010-06-23 03:45:10:00.000 0 0 1
2 2011-09-14 07:36:03:00.000 2 0 0
In the source table, the time and itemID are variable (and plentiful), so I'm thinking a dynamic pivot will do the trick. Is this possible to do with pivot? If so, how?
You can do this with a dynamic PIVOT. This will count the number of ItemIds that you have for any number of Times.
See a SQL Fiddle with a Demo. This demo leaves the time as a varchar as you stated they were. But this will work if the data is a datetime as well.
Since you want time in the final result, then when you select the columns, you will need to add the time column twice. I called it time1 and time. This allows you to aggregate on time1 in the PIVOT and still have a time column for your final product.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(itemid)
from temp
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT customerid, [time], ' + #cols + ' from
(
select customerid, [time] as time1, [time] as [time], itemid
from temp
) x
pivot
(
count([time1])
for itemid in (' + #cols + ')
) p '
execute(#query)
Approach #1 - Click here to see Demo
Declare #ItemIDs varchar(1000) = ''
Declare #Query varchar(8000) = ''
Select #ItemIDs = ISNULL(QuoteName(Convert(varchar, ItemID)) + ',', '')
+ #ItemIDs
From
(
Select distinct ItemID From #MyTable
)K
SET #ItemIDs = SUBSTRING(#ItemIDs,0,len(#ItemIDs))
SET #Query = 'Select CustomerID, [Time],' +
#ItemIDs + ' From
(
Select CustomerID, [Time], ItemID from #MyTable
)K Pivot
(
count(ItemID) FOR ItemID IN (' + #ItemIDs + ')
) AS pvt'
EXEC(#Query)
Approach #2 - Click here to see Demo
Select CustomerID, [Time], [87432] as [87432],
[26413] as [26413], [6312] as [6312] From
(
Select CustomerID, [Time], ItemID from #MyTable
)K Pivot
(
count(ItemID) FOR ItemID IN ([87432] , [26413],[6312])
) AS pvt