我有一个问题涉及SQL Server 2008中的多列透视。我想通过一个例子来解释。
以下是使用内外连接
连接6个不同表的结果ID Type Date Location Result Proc ProcDate ProcDetail ProcNotes
--------------------------------------------------------------------------------------
1 ABC 1/1/2010 OK AO Proc_A 1/1/2013 This is Detail Proc_A Notes
1 XYG 1/2/2011 Proc_A 1/1/2013 This is Detail Proc_A Notes
1 ABC 1/1/2010 OK AO Proc_B 1/1/2011 This is Detail Proc_B Notes
1 XYG 1/2/2011 Proc_B 1/1/2011 This is Detail Proc_B Notes
以下是上表
的详细信息有两种类型的ABC和XYG以及相关的日期
位置和结果与ABC类型相关联
有2个Proc Proc_A和Proc_B及相关日期
ProcDetail和ProcNotes与Proc Proc_A
相关联没有任何值是预先知道的
我希望在一行中得到一个结果,而不是上面的结果集。
ID Type1 Date1 Type2 Date2 Location Result Proc1 ProcDate1 ProcNotes1 ProcDetail Proc2 ProcDate2 ProcNotes2
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
1 ABC 1/1/2010 XYZ 1/2/2011 OK AO Proc_A 1/1/2013 Proc_A Notes This is Detail Proc _B 1/1/2011 Proc_B Notes
感谢您对此进行调查。
答案 0 :(得分:1)
如果预先知道值ABC
和XYG
,则可以进行条件聚合
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
示例输出:
| 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 |
这是 SQLFiddle 演示