Transform two rows in one - sql

Question

We have an auditing system which logs all the changes that occur in all the system tables. Basically, this is how the AuditLog table looks like:
Currently I am creating a couple of sql views to query different kind information. Everything is ok except for one point. If you take a look at the image again, you will see I have a SubscriptionMetadata table which is a key-value pairs table with 2 fields (MetaName and MetaValue). What the immage shows is that the subscription has a new watermark which value is 'Licensed copy: Fullname, Company, V...'.
What I need is transform, in my view, these two rows in just one with the following form:
41 - Insert - SubscriptionMetadata - 2012-10-19 - 53DA4XXXXXX - Watermark - Licensed copy: Fullname, Company, V...
I really cannot imagine how I can do it or search for it neither.
There is another problem (I think), these rows comes always in that order: MetaName first and then MetaValue. That´s the only way to know they are related.
Could you help me, please?

Answer 1

While I cannot see your full table structure you can transform the data the following way. Both of these solutions will place the data in separate columns:
;with data(id, [action], [type], [date], [col], metatype, value) as
(
select 41, 'Insert', 'SubscriptionMetaData', '2012-10-19', '53DA4XXX','Metaname', 'Watermark'
union all
select 41, 'Insert', 'SubscriptionMetaData', '2012-10-19', '53DA4XXX','MetaValue', 'Licensed copy: Fullname, Company'
)
select id, action, type, date, col,
MAX(case when metatype = 'Metaname' then value end) Name,
MAX(case when metatype = 'MetaValue' then value end) Value
from data
group by id, action, type, date, col
See SQL Fiddle with Demo
Or you can use a PIVOT on the data to get the same result:
;with data(id, [action], [type], [date], [col], metatype, value) as
(
select 41, 'Insert', 'SubscriptionMetaData', '2012-10-19', '53DA4XXX','Metaname', 'Watermark'
union all
select 41, 'Insert', 'SubscriptionMetaData', '2012-10-19', '53DA4XXX','MetaValue', 'Licensed copy: Fullname, Company'
)
select *
from
(
select id, [action], [type], [date], [col], metatype, value
from data
) src
pivot
(
max(value)
for metatype in (Metaname, MetaValue)
) piv
See SQL Fiddle with Demo
Both produce the same result:
| ID | ACTION | TYPE | DATE | COL | NAME | VALUE |
-------------------------------------------------------------------------------------------------------------
| 41 | Insert | SubscriptionMetaData | 2012-10-19 | 53DA4XXX | Watermark | Licensed copy: Fullname, Company |

Answer 2

You can do this via a stored procedure or scalar-valued function using the coalesce function as follows:
DECLARE #Results NVARCHAR(MAX);
DECLARE #Token NVARCHAR(5) = '-'; -- separator token
SELECT #Results = coalesce(#Results + #Token,'') + t.MetaValue from (select * from TableName where MetaName = 'SubscriptionMetadata') t;
RETURN #Results; -- variable containing the concatenated values

Answer 3

Here is a working example. Please replace column names as required. Col3 = your string concatenating column.
SELECT t1.col1,t1.col2,
NameValue =REPLACE( (SELECT col3 AS [data()]
FROM mytable t2
WHERE t2.col1 = t1.col1
ORDER BY t2.col1
FOR XML PATH('')
), ' ', ' : ')
FROM mytable t1
GROUP BY col1,col2 ;
--DATA
1 | X | Name
1 | X | Value
--RESULTS
1 | X | Name:Value --Name Value pair here
EDIT: If you don't need concatenation (as per your comment)
SELECT t1.col1, t1.col2, t1.col3 NameColumn, t2.col3 ValueColumn
FROM (SELECT * FROM myTable WHERE col3 = 'Watermark') t1 JOIN
(SELECT * FROM myTable WHERE NOT (col3 = 'Watermark')) t2
ON t1.col1 = t2.col1