Can anyone write query for this? - sql

Question

My table is as below
recordId fwildcardId refNumber wildcardName wildcardValue comments
404450 154834 2 aaa p p
404450 154833 1 aa oi p
406115 154867 1 98 ff ff
406199 154869 1 aa aaaa ssss
406212 154880 1 bbbbb card comm
and I need the output as
RecordId fwildcardid1 refNo1 Name1 Value1 comments1 fwildcardid2 refNo2 Name2 Value2 comments2 fwildcardid3 refNo3 Name3 Value3 comments3
404450 154834 2 aaa p p 154833 1 aa oi p
406115 Null Null Null Null Null Null Null Null Null Null 154867 1 98 ff ff
406199 Null Null Null Null Null 154869 1 aa aaaa ssss Null Null Null Null
I tried pivoting like below , but didnt succeed .
select t1.recordId,t1.wildcardid as fwildcardId,t1.refNo as refNumber,t2.wildcardName,t1.attributeValue as wildcardValue,t1.comments
into #tempp
from fwildcards t1
inner join fwildcardattributes t2 on t2.WildcardID=t1.attributenameid and t2.MarketID=5
inner join fitems t3 on t3.recordid=t1.recordid and t3.marketid=5
order by recordid,attributenameid
select * from #tempp
pivot (min (wildcardValue) for wildcardName in ([aaa],[aa],[aaaa],[98],[kki],[bbbbb],[SUN])) as wildcardValuePivot

Answer 1

In order to get this result, you will have to UNPIVOT and hen PIVOT the data. The UNPIVOT will take the values in the columns fwildcardId, refNumber, wildcardName, wildcardValue and comments and turns them into rows. Once the data is in rows, then you can apply the PIVOT function to get the final result.
To unpivot the data, you can use either the UNPIVOT function or you can use the CROSS APPLY and VALUES clause.
UNPIVOT:
select recordid,
col+cast(rn as varchar(10)) col,
unpiv_value
from
(
select recordid,
cast(fwildcardid as varchar(10)) fwildcardid,
cast(refnumber as varchar(10)) refnumber,
cast(wildcardname as varchar(10)) name,
cast(wildcardvalue as varchar(10)) value,
cast(comments as varchar(10)) comments,
row_number() over(partition by recordid
order by fwildcardid) rn
from tempp
) d
unpivot
(
unpiv_value
for col in (fwildcardid, refnumber, name, value, comments)
) c
See SQL Fiddle with Demo.
CROSS APPLY and VALUES:
select recordid,
col+cast(rn as varchar(10)) col,
value
from
(
select recordid,
cast(fwildcardid as varchar(10)) fwildcardid,
cast(refnumber as varchar(10)) refnumber,
wildcardname,
wildcardvalue,
comments,
row_number() over(partition by recordid
order by fwildcardid) rn
from tempp
) d
cross apply
(
values
('fwildcardid', fwildcardid),
('refnumber', refnumber),
('name', wildcardname),
('value', wildcardvalue),
('comments', comments)
) c (col, value)
See SQL Fiddle with Demo.
These convert the results in a format:
| RECORDID | COL | VALUE |
------------------------------------
| 404450 | fwildcardid1 | 154833 |
| 404450 | refnumber1 | 1 |
| 404450 | name1 | aa |
| 404450 | value1 | oi |
| 404450 | comments1 | p |
| 404450 | fwildcardid2 | 154834 |
When you unpivot data into the same column, it has to be the same datatype. You will notice that I applied a cast to the columns so the datatype is the same.
Once the data is in the row format, you can convert it back into columns with PIVOT:
select *
from
(
select recordid,
col+cast(rn as varchar(10)) col,
unpiv_value
from
(
select recordid,
cast(fwildcardid as varchar(10)) fwildcardid,
cast(refnumber as varchar(10)) refnumber,
cast(wildcardname as varchar(10)) name,
cast(wildcardvalue as varchar(10)) value,
cast(comments as varchar(10)) comments,
row_number() over(partition by recordid
order by fwildcardid) rn
from tempp
) d
unpivot
(
unpiv_value
for col in (fwildcardid, refnumber, name, value, comments)
) c
) src
pivot
(
max(unpiv_value)
for col in (fwildcardid1, refnumber1, name1, value1, comments1,
fwildcardid2, refnumber2, name2, value2, comments2)
) piv;
See SQL Fiddle with Demo.
The above version works great if you have a known number of columns, but if you will have an unknown number of values that will be converted into columns, then you will need to use dynamic sql to get the result:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(c.col+cast(rn as varchar(10)))
from
(
select row_number() over(partition by recordid
order by fwildcardid) rn
from tempp
) t
cross apply
(
select 'fwildcardid' col, 1 sortorder union all
select 'refNumber', 2 union all
select 'name', 3 union all
select 'value', 4 union all
select 'comments', 5
) c
group by col, rn, sortorder
order by rn, sortorder
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT recordid,' + #cols + ' from
(
select recordid,
col+cast(rn as varchar(10)) col,
unpiv_value
from
(
select recordid,
cast(fwildcardid as varchar(10)) fwildcardid,
cast(refnumber as varchar(10)) refnumber,
cast(wildcardname as varchar(10)) name,
cast(wildcardvalue as varchar(10)) value,
cast(comments as varchar(10)) comments,
row_number() over(partition by recordid
order by fwildcardid) rn
from tempp
) d
unpivot
(
unpiv_value
for col in (fwildcardid, refnumber, name, value, comments)
) c
) src
pivot
(
max(unpiv_value)
for col in (' + #cols + ')
) p '
execute(#query);
See SQL Fiddle with Demo. Both of these give the result:
| RECORDID | FWILDCARDID1 | REFNUMBER1 | NAME1 | VALUE1 | COMMENTS1 | FWILDCARDID2 | REFNUMBER2 | NAME2 | VALUE2 | COMMENTS2 |
-------------------------------------------------------------------------------------------------------------------------------
| 404450 | 154833 | 1 | aa | oi | p | 154834 | 2 | aaa | p | p |
| 406115 | 154867 | 1 | 98 | ff | ff | (null) | (null) | (null) | (null) | (null) |
| 406199 | 154869 | 1 | kki | aaaa | ssss | (null) | (null) | (null) | (null) | (null) |
| 406212 | 154880 | 1 | bbbbb | card | comm | (null) | (null) | (null) | (null) | (null) |

Answer 2

No Pivot No Cross Apply
According to edited Question.
select
DISTINCT
A.recordId AS recordId,
A1.fwildcardId AS fwildcardId1,
A1.refNumber AS refNumber1,
A1.wildcardName AS wildcardName1,
A1.wildcardValue AS wildcardValue1,
A1.comments AS comments1,
A2.fwildcardId AS fwildcardId2,
A2.refNumber AS refNumber2,
A2.wildcardName AS wildcardName2,
A2.wildcardValue AS wildcardValue2,
A2.comments AS comments2,
A3.fwildcardId AS fwildcardId3,
A3.refNumber AS refNumber3,
A3.wildcardName AS wildcardName3,
A3.wildcardValue AS wildcardValue3,
A3.comments AS comments3,
A4.fwildcardId AS fwildcardId4,
A4.refNumber AS refNumber4,
A4.wildcardName AS wildcardName4,
A4.wildcardValue AS wildcardValue4,
A4.comments AS comments4,
A5.fwildcardId AS fwildcardId5,
A5.refNumber AS refNumber5,
A5.wildcardName AS wildcardName5,
A5.wildcardValue AS wildcardValue5,
A5.comments AS comments5,
A6.fwildcardId AS fwildcardId6,
A6.refNumber AS refNumber6,
A6.wildcardName AS wildcardName6,
A6.wildcardValue AS wildcardValue6,
A6.comments AS comments6,
A7.fwildcardId AS fwildcardId7,
A7.refNumber AS refNumber7,
A7.wildcardName AS wildcardName7,
A7.wildcardValue AS wildcardValue7,
A7.comments AS comments7,
A8.fwildcardId AS fwildcardId8,
A8.refNumber AS refNumber8,
A8.wildcardName AS wildcardName8,
A8.wildcardValue AS wildcardValue8,
A8.comments AS comments8,
A9.fwildcardId AS fwildcardId9,
A9.refNumber AS refNumber9,
A9.wildcardName AS wildcardName9,
A9.wildcardValue AS wildcardValue9,
A9.comments AS comments9,
A10.fwildcardId AS fwildcardId10,
A10.refNumber AS refNumber10,
A10.wildcardName AS wildcardName10,
A10.wildcardValue AS wildcardValue10,
A10.comments AS comments10
from Table_name A
LEFt JOIN Table_name A1 ON A.recordId=A1.recordId AND A1.wildcardName='aaa'
LEFT JOIN Table_name A2 ON A.recordId=A2.recordId AND A2.wildcardName='aa'
LEFT JOIN Table_name A3 ON A.recordId=A3.recordId AND A3.wildcardName='98'
LEFT JOIN Table_name A4 ON A.recordId=A4.recordId AND A4.wildcardName=''
LEFT JOIN Table_name A5 ON A.recordId=A5.recordId AND A5.wildcardName=''
LEFT JOIN Table_name A6 ON A.recordId=A6.recordId AND A6.wildcardName=''
LEFT JOIN Table_name A7 ON A.recordId=A7.recordId AND A7.wildcardName=''
LEFT JOIN Table_name A8 ON A.recordId=A8.recordId AND A8.wildcardName=''
LEFT JOIN Table_name A9 ON A.recordId=A9.recordId AND A9.wildcardName=''
LEFT JOIN Table_name A10 ON A.recordId=A10.recordId AND A10.wildcardName=''
SQL Fiddle