I need more information for your input and output, your output is confusing, please post complete output.

Here is a sample script.
SELECT ITEM_TYPE, [1], [2], [3], [4], [5], [6], [7]
FROM
(SELECT ITEM_TYPE, QTY , QTY AS QTYY
FROM Example4) p
PIVOT
(
MAX (QTYY)
FOR QTY IN
( [1], [2], [3], [4], [5], [6], [7] )
) AS pvt
ORDER BY VendorID;

What I see from your procedure, we can do it through another procedure or script with a while loop, I dont know if that could be done through a simple select statement.

~ IM.

Why don’t you make a computed column in your select list, with what ever expression you have and then name that column , and then in pivot, just use max expression.

Just give us some sample data, input, and expected output.

~ IM.

create table #Example ([PARAM] varchar (40), [VALUE] varchar (40))

insert into #Example values (‘k4401′, ‘AAA’)
insert into #Example values (‘k4402′, ‘BBB’)
insert into #Example values (‘k4403′, ‘CCC’)

SELECT [k4401], [k4402], [k4403]
FROM
(SELECT [PARAM], [VALUE]
FROM #Example) p
PIVOT
(
MAX ([VALUE])
FOR [PARAM] IN
( [k4401], [k4402], [k4403])
) AS pvt

~ IM

table:

PARAM VALUE
k4401 AAA
k4402 BBB
k4403 CCC

Output would look like:

k4401 k4402 k4403
AAA BBB CCC

thanks in advance

Any further words on using two aggreations in the PIVOT?
Or is it possible to use an expression in the place of aggreation function? something like (SUM(SellAmount) – SUM(CostAmount))/SUM(SellAmount)*100,
instead of a single native function.

thanks a lot

I have a table ITEM_MST

ITEM_TYPE QTY Date
1 2 15 July 2009
1 4 16 July 2009
2 3 17 July 2009
2 1 18 July 2009
1 4 19 July 2009
1 6 20 July 2009
1 2 21 July 2009

I wan the output in this format

ITEM_TYPE QTY1 QTY2 QTY3
1 2 4 4
1 6 2
2 3 1

I dont want to use any aggregate functions as there is nothing to aggregate.

Please let me know the solution for the same ASAP.

Thanks and Regards
Rahul

Then you need to write Dynamic SQL.

First prepare the select statement with Dynamic SQL.

Once you prepare the select statement, then execute that statement.

~ IM.

“SELECT [No] , [ID] ,[05/01/2009] ,[05/15/2009] ,[05/20/2009] ,[06/01/2009]
FROM ( ”

i cant say how many dates will be coming from select statement.
coz im using Select * from T1, this will return me many Date.
Also im not using sum([Value]) FOR [Date] wise.
I need to show dynamically date as column and value as row using pivot.

This is the script.

– Create Table
create table T1 ( [No] int, [ID] int, Date Datetime, Value decimal (38,2))

– Insert data into the table
insert into T1 values (1, 1001, ‘05/01/2009′, 101.00)
insert into T1 values (1, 1001, ‘05/15/2009′, 102.00)
insert into T1 values (1, 1001, ‘05/20/2009′, 105.00)
insert into T1 values (2, 1001, ‘05/01/2009′, 41.00)
insert into T1 values (2, 1001, ‘05/15/2009′, 44.00)
insert into T1 values (3, 1001, ‘06/01/2009′, 330.00)

– Check the Data
select * from T1

– Using Pivot key word to get required output
SELECT [No] , [ID] ,[05/01/2009] ,[05/15/2009] ,[05/20/2009] ,[06/01/2009]
FROM (
SELECT [No], [ID], [Date], [Value]
FROM T1) up
PIVOT ( sum([Value]) FOR [Date] in ([05/01/2009] ,[05/15/2009] ,[05/20/2009] ,[06/01/2009]) )AS pvt

~ IM.

No ID Date Value
___________________________________
1 1001 01/05/2009 101.00
1 1001 15/05/2009 102.00
1 1001 20/05/2009 105.00
2 1001 01/05/2009 41.00
2 1001 15/05/2009 44.00
3 1001 01/06/2009 330.00

I need the Data in this Format

No ID 01/05/2009 15/05/2009 20/05/2009
01/06/2009
____________________________________________________

1 1001 101.00 102.00 105.00 NULL
2 1001 41.00 44.00 NULL NULL
3 1001 NULL NULL NULL 330.00

can you give me the solution for this type…

Thanks in advance

THanks,
Sreedhar

I have a TABLE in oracle as

Australia Entry1 Apple $ 2
Japan Entry2 Guava $2
Australia Entry2 Guava $2
Hungary Entry3 Guava $2
Australia Entry2 Apple $2
Japan Entry1 Guava $2
Australia Entry4 Orange $2
Japan Entry2 Orange $2

My Output should be as follows where Amount is added w.r.t Entries as well as Fruits but in columns.

Country Entry1 Entry2 Entry3 Entry4 Apple Guava Orange

Australias $2 $4 0 $2 $4 $2 $2

Japan $2 $4 0 0 0 $4 $2

Hungary 0 0 $2 0 0 $2 0

I would like the output as above. However I do not want to use decode, which is what I am using right now.

Is it possible to use this for a varible number of columns. Basically the number of columns will not be more than 10 for sure, but I need them to be variable which is not possible by using decode.

Thanks for all your help.
Sreedhar

date [name]
06:00 aaaa
06:00 bbbb
06:00 ccccc
06:30 dddd
06:30 eeee
06:30 ffffffff
06:30 gggg
07:00 hhhh
08:00 NULL
08:30 NULL
09:00 NULL
09:30 IIIIII
10:00 NULL
.
.
..
i want to display this in the following format

date name
06:00 aaaa bbbb cccc NULL
06:30 dddd eeee ffffff gggg
07:00 hhhh NULL NULL NULL
08:30 NULL NULL NULL NULL
09:00 NULL NULL NULL NULL
10:00 IIIIII NULL NULL NULL
.
.
.
.
is it possible using pivot? kindly help me

WITH
Data
AS
(
SELECT 401 d, 0.3 a, 0.8 b, 0.9 c, ‘z’ a1, ‘x’ b2, ‘y’ c3 UNION ALL
SELECT 402 d, 0.4 a, 0.5 b, 0.6 c, ‘x’ a1, ‘z’ b2, ‘y’ c3
)
SELECT
d,
CASE a1
WHEN ‘z’ THEN a
WHEN ‘X’ THEN b
WHEN ‘y’ THEN c
END,
CASE b2
WHEN ‘z’ THEN a
WHEN ‘X’ THEN b
WHEN ‘y’ THEN c
END,
CASE c3
WHEN ‘z’ THEN a
WHEN ‘X’ THEN b
WHEN ‘y’ THEN c
END
FROM
Data;

d a b c a1 b2 c3
401 0.3 0.8 0.9 z x y
402 0.4 0.5 0.6 x z y

And i need this result in my query
d z x y
401 0.3 0.8 0.9
402 0.5 0.4 0.6

I was thinking on pivot tables but i dont know how to do it with more colums

The challenge is that MV value could be any string, could be V1 ~ Vx. And for Same MV value, they just want to list all dates, like

SiteNo SubNo [V1] [V1] [V1] [V2] [V3] [V4] [V5] [V6]
—— ——— ———– ——— ———- ———– ———– ———- ———— —————-
001 SUB-028 2007-03-11 2007-03-15 2007-03-19 2007-05-21 2007-06-22 2007-07-11 2007-08-05 2007-09-28

SiteNo SubNo MV Date
—— ——– — ————
001 SUB-028 V1 2007-03-11
001 SUB-028 V1 2007-03-15
001 SUB-028 V1 2007-03-19
001 SUB-028 V2 2007-05-21
001 SUB-028 V3 2007-06-22
001 SUB-028 V4 2007-07-11
001 SUB-028 V4 2007-07-17
001 SUB-028 V4 2007-07-21
001 SUB-028 V4 2007-07-29
001 SUB-028 V5 2007-08-05
001 SUB-028 V6 2007-09-28
002 SUB-010 V1 2007-04-22
002 SUB-010 V2 2007-05-22
002 SUB-010 V3 2007-06-05
002 SUB-010 V3 2007-07-05