Pivot or Cross Tab [duplicate] - sql

Question

This question already has answers here:
Pivot in sql server
(4 answers)
Closed 8 years ago.
I have the two tables which need to be linked and present the data in human friendly way. Could you experts point me in right direction, I am bit stuck here.
Both table 1 and table2 are received through ftp and loaded to SQL table in SQL 2008 R2. These two tables are linked by nid and cid together.
Apologies i couldn't copy paste table here, please consider "-" are column separators
Table 1
ID nid cid pid form_key-name
1 4 1 33 Import_Gen_Title-Title
2 4 2 33 Import_Gen_Firstname-Firstname
3 4 3 33 Import_Gen_Surname-Surname
4 4 4 33 Import_Gen_AddressLine1-AddressLine1
5 4 5 33 Import_Gen_AddressLine2-AddressLine2
6 4 6 33 Import_Gen_City-Town/City
7 4 7 33 Import_Gen_Zip-Post code
Table 2
ID nid sid cid data
1 4 14 1 Mr
2 4 14 2 John
3 4 14 3 Smith
4 4 14 4 A Company
5 4 14 5 Nice Street
6 4 14 6 London
7 4 14 7 SE11 0TS
Now how can get this a Result Table like this one below ?
NiD SID Title Firstname Surname AddressLine1 AddressLine2 Town/City-Post code
4 14 Mr John Smith A Company Nice Street London-SE11 0TS

Answer 1

Check my answer for this same question here: Pivot in sql server
I made a stored procedure that uses the PIVOT statement shown by salvoo - but it's more generic, you don't have to know all the columns in advance.
Take a look.
Here is the example using your data - note that the default output of the pivot has the columns in alphabetical order which you don't want - so I used the option to output the pivot to a temp table then queried directly from the temp table to put the columns in the order you wanted.
drop table Fields
go
drop table Data
go
create table Fields
(
ID Integer,
nid Integer,
cid Integer,
pid Integer,
form_key_name varchar(50)
);
go
create table Data
(
ID Integer,
nid Integer,
sid Integer,
cid Integer,
data varchar(50)
);
go
insert into Fields values (1,4,1,33,'Import_Gen_Title-Title')
go
insert into Fields values (2,4,2,33,'Import_Gen_Firstname-Firstname')
go
insert into Fields values (3,4,3,33,'Import_Gen_Surname-Surname')
go
insert into Fields values (4,4,4,33,'Import_Gen_AddressLine1-AddressLine1')
go
insert into Fields values (5,4,5,33,'Import_Gen_AddressLine2-AddressLine2')
go
insert into Fields values (6,4,6,33,'Import_Gen_City-Town/City')
go
insert into Fields values (7,4,7,33,'Import_Gen_Zip-Post code')
go
insert into Data values (1,4,14,1,'Mr')
go
insert into Data values (2,4,14,2,'John')
go
insert into Data values (3,4,14,3,'Smith')
go
insert into Data values (4,4,14,4,'A Company')
go
insert into Data values (5,4,14,5,'Nice Street')
go
insert into Data values (6,4,14,6,'London')
go
insert into Data values (7,4,14,7,'SE11 0TS')
go
declare #mySQL varchar(MAX);
set #mySQL = '
select
f.nid,
d.sid,
right(f.form_key_name, len(f.form_key_name) - charindex(''-'',f.form_key_name)) form_key_name,
d.data
from
Fields f
JOIN Data d
on ( d.nid = f.nid
and d.cid = f.cid )
';
exec pivot_query #mySQL, 'nid, sid', 'form_key_name','max(data)', '##tmppivot';
select
nid,
sid,
Title,
Firstname,
Surname,
AddressLine1,
AddressLine2,
[Town/City],
[Post code]
from
##tmppivot;
go

Answer 2

With Pivot: Fiddle demo
SELECT sid, nid,
[Import_Gen_Title-Title] as Title,
[Import_Gen_Firstname-Firstname] as Name,
[Import_Gen_Surname-Surname] as SurName,
[Import_Gen_AddressLine1-AddressLine1] as Address1,
[Import_Gen_AddressLine2-AddressLine2] as Address2,
[Import_Gen_City-Town/City] as Town,
[Import_Gen_Zip-Post code] as PostCode
FROM
(
SELECT t2.sid, t2.nid, t2.dat, t1.form_key
FROM tab1 t1 INNER JOIN tab2 t2 ON t1.nid = t2.nid AND t1.cid = t2.cid
) x
PIVOT
(
min(x.dat)
for x.form_key in ([Import_Gen_Title-Title],
[Import_Gen_Firstname-Firstname],
[Import_Gen_Surname-Surname],
[Import_Gen_AddressLine1-AddressLine1],
[Import_Gen_AddressLine2-AddressLine2],
[Import_Gen_City-Town/City],
[Import_Gen_Zip-Post code]
)
) pvt
Edit (Added generic version): Fiddle demo
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT ',[' + t.form_key + ']'
FROM tab1 t
group by t.form_key, cid
order by t.cid
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'),1,1,'');
SET #query = 'SELECT * FROM
(
SELECT t2.sid, t2.nid, t2.dat, t1.form_key
FROM tab1 t1 INNER JOIN tab2 t2 ON t1.nid = t2.nid AND t1.cid = t2.cid
) x
PIVOT
(
min(x.dat)
FOR x.form_key IN (' + #cols + ')
) pvt;';
execute(#query);