Om värden ABC
och XYG
är kända i förväg kan du göra villkorlig aggregering
SELECT ID,
MAX(CASE WHEN type = 'ABC' THEN 'ABC' END) Type1,
MAX(CASE WHEN type = 'ABC' THEN Date END) Date1,
MAX(CASE WHEN type = 'XYG' THEN 'XYZ' END) Type2,
MAX(CASE WHEN type = 'XYG' THEN Date END) Date2,
MAX(Location) Location,
MAX(Result) Result,
MAX(CASE WHEN type = 'ABC' THEN [Proc] END) Proc1,
MAX(CASE WHEN type = 'ABC' THEN ProcDate END) ProcDate1,
MAX(CASE WHEN type = 'ABC' THEN ProcDetail END) ProcDetail1,
MAX(CASE WHEN type = 'ABC' THEN ProcNotes END) ProcNotes1,
MAX(CASE WHEN type = 'XYG' THEN [Proc] END) Proc2,
MAX(CASE WHEN type = 'XYG' THEN ProcDate END) ProcDate2,
MAX(CASE WHEN type = 'XYG' THEN ProcDetail END) ProcDetail2,
MAX(CASE WHEN type = 'XYG' THEN ProcNotes END) ProcNotes2
FROM
(
SELECT * FROM table1 -- that's to emulate your current query with multiple joins
) q
GROUP BY ID
Exempelutdata:
| ID | TYPE1 | DATE1 | TYPE2 | DATE2 | LOCATION | RESULT | PROC1 | PROCDATE1 | PROCDETAIL1 | PROCNOTES1 | PROC2 | PROCDATE2 | PROCDETAIL2 | PROCNOTES2 | |----|-------|--------------------------------|-------|--------------------------------|----------|--------|--------|--------------------------------|-----------------|--------------|--------|--------------------------------|-----------------|--------------| | 1 | ABC | January, 01 2010 00:00:00+0000 | XYZ | January, 02 2011 00:00:00+0000 | OK | AO | Proc_B | January, 01 2013 00:00:00+0000 | This is Details | Proc_B Notes | Proc_B | January, 01 2013 00:00:00+0000 | This is Details | Proc_B Notes |
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