Pivoting of three columns

Question

Hi Team,
I am facing an issue with pivoting of multiple columns. Here is my scenario. I have given an example for 5 transactions but there can be 50 maximum transactions, so by default there should be 50 columns for each of the column (pymnt_type,transaction amt,
transaction date)
--Input
IF OBJECT_ID('tempdb..#tmp1') IS NOT NULL DROP TABLE #tmp1
Create table #tmp1
accntid BIGINT,
pymnt_type Varchar(20),
TransactionAmt decimal(10,2),
TransactionDate datetime
Insert into #tmp1 Values(1,'CHCK',100,'10/15/2012 11:18:08 AM')
Insert into #tmp1 Values(1,'CASH',200,'10/15/2012 11:18:11 AM')
Insert into #tmp1 Values(1,'CHCK',300,'10/15/2012 11:18:11 AM')
Insert into #tmp1 Values(1,'amazing12345',20,'10/31/2012')
Insert into #tmp1 Values(1,'CHCK',-100,'1/31/2013 12:21:47 PM')
Insert into #tmp1 Values(2,'CHCK',100,'10/15/2012 11:18:08 AM')
Insert into #tmp1 Values(2,'CHCK',200,'10/15/2012 11:18:11 AM')
Insert into #tmp1 Values(2,'CHCK',300,'10/15/2012 11:18:11 AM')
Insert into #tmp1 Values(3,'amazing12345',-3.33,'1/31/2013 12:21:47 PM')
Insert into #tmp1 Values(3,'CHCK',-0.13,'1/31/2013 12:34:17 PM')
Insert into #tmp1 Values(3,'CHCK',-300,'1/31/2013 12:41:35 PM')
Insert into #tmp1 Values(3,'CHCK',-0.2,'1/31/2013 12:41:35 PM')
select *from #tmp1
--expected Ouput shows only 5 occurrance but it can maximum 50 transactions so by default it should 50 (*3 pymnt_type,Trans amount, trans date)
Select 1 accntId,'CHCK' Pymnt_type1,100 TransactionAmt1,'10/15/2012 11:18:08 AM' TransactionDate1,'CASH' Pymnt_type2,200 TransactionAmt2,'10/15/2012 11:18:11 AM'TransactionDate2,'CHCK' Pymnt_type3,300 TransactionAmt3,'10/15/2012 11:18:11 AM' TransactionDate3,'amazing12345' Pymnt_type4,20 TransactionAmt4,'10/31/2012' TransactionDate4,'CHCK' Pymnt_type5,-100 TransactionAmt5,'1/31/2013 12:21:47 PM'TransactionDate5 Union all
Select 2,'CHCK',100,'10/15/2012 11:18:08 AM','CHCK',200,'10/15/2012 11:18:11 AM','CHCK',300,'10/15/2012 11:18:11 AM','',null,'','',null,'' Union all
Select 3,'amazing12345',-3.33,'1/31/2013 12:21:47 PM','CHCK',-0.13,'1/31/2013 12:34:17 PM','CHCK',-300,'1/31/2013 12:41:35 PM','CHCK',-0.2,'1/31/2013 12:41:35 PM','',null,''
Thanks,Eshwar.
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Answer 1

Try this,
;with cte as (
select *,
'Pymnt_type' + cast(rn as varchar) PayCol,
'TransactionAmt' + cast(rn as varchar) TransCol,
'TransactionDate' + cast(rn as varchar) TransDCol
from (select *,row_number() over (partition by accntid order by accntid) rn from #tmp1) x
),cte1 as (
select * from (select accntid,pymnt_type,paycol from cte) x
pivot(max(pymnt_type) for payCol in (Pymnt_type1,Pymnt_type2,Pymnt_type3,Pymnt_type4,Pymnt_type5)) pvt
),cte2 as (
select * from (select accntid,TransactionAmt,transcol from cte) x
pivot(max(TransactionAmt) for transCol in (TransactionAmt1,TransactionAmt2,TransactionAmt3,TransactionAmt4,TransactionAmt5)) pvt2
),cte3 as (
select * from (select accntid,TransactionDate,transdcol from cte) x
pivot(max(TransactionDate) for transDCol in (TransactionDAte1,TransactionDAte2,TransactionDAte3,TransactionDAte4,TransactionDAte5)) pvt3
select a.accntid,a.Pymnt_type1,a.Pymnt_type2,a.Pymnt_type3,a.Pymnt_type4,a.Pymnt_type5,
b.TransactionAmt1,b.TransactionAmt2,b.TransactionAmt3,b.TransactionAmt4,b.TransactionAmt5,
c.TransactionDAte1,c.TransactionDAte2,c.TransactionDAte3,c.TransactionDAte4,c.TransactionDAte5
from cte1 a
inner join cte2 b on a.accntid = b.accntid
inner join cte3 c on a.accntid = c.accntid
Regards, RSingh