Is it possible to Pivot data like this? - sql

Question

I have data that looks as follows:
I would like to pivot this data so that there is only a single row for the SubId. The columns would be SubId, 802Lineage, 802ReadTime, 1000Lineage, 1000ReadTime etc.
If it wasn't for the requirement to have the Lineage included, this would be pretty straightforward, as follows:
Select SubId, [800] as [800Time], [1190] as [1190Time], [1605] as [1605Time]
From
(Select SubId, ProcessNumber, ReadTime From MyTable) as SourceTable
PIVOT
(
Max(ReadTime)
For ProcessNumber IN ([800],[802],[1190],[1605])
) as PivotTable;
I'm just not sure how to do this with the Lineage included. This is for SQL Server 2012

Answer 1

you can pivot manually:
select
SubId,
max(case when ProcessNumber = 802 then ReadTime end) as [802Time],
max(case when ProcessNumber = 802 then Lineage end) as [802Lineage],
....
from SourceTable
group by SubId

Answer 2

Example of joining two pivot tables, as requested in comments.
CREATE TABLE #MyTable (SubId int, ProcessNumber int, Lineage varchar(16), ReadTime datetime)
INSERT INTO #MyTable 
(SubID, ProcessNumber, Lineage, ReadTime)
VALUES
(1, 9, 'A', GETDATE()),
(1, 8, 'A', GETDATE()),
(1, 7, 'B', GETDATE()),
(2, 9, 'C', GETDATE()),
(2, 8, 'C', GETDATE())
SELECT * 
FROM (
Select SubId, [9] as [9Time], [8] as [8Time], [7] as [7Time]
From
(Select SubId, ProcessNumber, ReadTime From #MyTable) as SourceTable
PIVOT(Max(ReadTime) For ProcessNumber IN ([9],[8],[7],[6])) as PivotTable1
) AS T1
INNER JOIN (
Select SubId, [9] as [9Lineage], [8] as [8Lineage], [7] as [7Lineage]
From
(Select SubId, ProcessNumber, Lineage From #MyTable) as SourceTable
PIVOT(Max(Lineage) For ProcessNumber IN ([9],[8],[7],[6])) as PivotTable1
) AS T2
ON T1.SubId = T2.SubId
GO

Answer 3

You can use the PIVOT function to get the result but you will have to unpivot the Lineage and ReadTime columns from the multiple columns into multiple rows.
Since you are using SQL Server 2012 you can unpivot the data using CROSS APPLY with VALUES:
select subid,
colname = cast(processNumber as varchar(10)) + colname,
value
from mytable
cross apply
(
values
('Lineage', Lineage),
('ReadTime', convert(varchar(20), readtime, 120))
) c (colname, value)
See SQL Fiddle with Demo. This will convert your current data into the format:
| SUBID | COLNAME | VALUE |
|-------------|--------------|---------------------|
| 12010231146 | 802Lineage | PBG12A |
| 12010231146 | 802ReadTime | 2012-01-02 21:44:00 |
| 12010231146 | 1000Lineage | PBG12A |
| 12010231146 | 1000ReadTime | 2012-01-02 21:43:00 |
| 12010231146 | 1190Lineage | PBG11B |
| 12010231146 | 1190ReadTime | 2012-01-03 14:36:00 |
Once the data is in this format, then you can easily apply the PIVOT function to get your final result:
select *
from
(
select subid,
colname = cast(processNumber as varchar(10)) + colname,
value
from mytable
cross apply
(
values
('Lineage', Lineage),
('ReadTime', convert(varchar(20), readtime, 120))
) c (colname, value)
) d
pivot
(
max(value)
for colname in ([802Lineage], [802ReadTime],
[1000Lineage], [1000ReadTime],
[1190Lineage], [1190ReadTime])
) piv;
See SQL Fiddle with Demo.
The above works great if you have a limited number of rows that you want to convert, but if you have an unknown number then you can use dynamic SQL:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(cast(processnumber as varchar(10))+col)
from mytable
cross apply
(
select 'Lineage', 0 union all
select 'ReadTime', 1
) c (col, so)
group by processnumber, col, so
order by processnumber, so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT subid, ' + #cols + '
from
(
select subid,
colname = cast(processNumber as varchar(10)) + colname,
value
from mytable
cross apply
(
values
(''Lineage'', Lineage),
(''ReadTime'', convert(varchar(20), readtime, 120))
) c (colname, value)
) x
pivot
(
max(value)
for colname in (' + #cols + ')
) p '
execute sp_executesql #query;
See SQL Fiddle with Demo. This gives a result:
| SUBID | 802LINEAGE | 802READTIME | 1000LINEAGE | 1000READTIME | 1190LINEAGE | 1190READTIME | 1605LINEAGE | 1605READTIME | 1745LINEAGE | 1745READTIME | 1790LINEAGE | 1790READTIME | 1990LINEAGE | 1990READTIME | 2690LINEAGE | 2690READTIME | 2795LINEAGE | 2795READTIME | 2990LINEAGE | 2990READTIME | 3090LINEAGE | 3090READTIME | 3290LINEAGE | 3290READTIME |
|-------------|------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|-------------|---------------------|
| 12010231146 | PBG12A | 2012-01-02 21:44:00 | PBG12A | 2012-01-02 21:43:00 | PBG11B | 2012-01-03 14:36:00 | PBG11B | 2012-01-03 15:15:00 | PBG11A | 2012-01-03 15:16:00 | PBG11A | 2012-01-03 15:19:00 | PBG11A | 2012-01-03 15:23:00 | PBG11A | 2012-01-03 15:32:00 | PBG11A | 2012-01-03 15:39:00 | PBG11A | 2012-01-03 15:41:00 | PBG11A | 2012-01-03 15:46:00 | PBG11A | 2012-01-03 15:47:00 |