多行与单行与多列与最小日期

我有一张表，看起来像下面，我想做2件事情。 1。选择最小（EnterDtm）记录，在这种情况下，这将是2015-08-25 05：29：44：480。我也希望有一个具有高度尺，高度英寸，重量（kg）作为新的列名，而新列的下方是ObsText多行与单行与多列与最小日期

EnterDtm     ObsCatalogName VisitID OBSTEXT 
2015-08-25 05:29:44.480 AS height feet NU 219975 5 
2015-08-25 05:29:44.480 AS height inches NU 219975 5 
2015-08-25 05:29:44.480 AS weight kg CAL 219975 88 
2015-08-25 07:05:11.173 AS weight kg CAL 219975 90.6 
2015-08-26 06:36:43.537 AS weight kg CAL 219975 90.5 
2015-08-26 21:22:21.550 AS height feet NU 219975 5 
2015-08-26 21:22:21.550 AS height inches NU 219975 6 
2015-08-26 21:22:21.550 AS weight kg CAL 219975 90.5 
2015-08-27 05:55:27.373 AS weight kg CAL 219975 87.4

我希望它看起来像这样

EnterDtm     VisitID Height Feet Height Inches Weight 
2015-08-25 05:29:44.480 219975 5    5    88

单个记录排

来源

2016-04-13 user3666224

如果您的引擎支持它，则3个case语句为max和group by或pivot。这是什么RDBMS？ – xQbert

SQL Server 2012 – user3666224

因此，如果2015-08-25 07:05:11.173是最早的日期......您的高度数据不会正确吗？ – xQbert

首先，我使用case语句在公用表表达式With cte（可以轻松使用内联视图）中生成包含所需格式字段的一组数据。

这也通过使用基于日期和访问的amx将这些字段组合到一个记录中，并为日期排序的访问分配排名。

我再选择从CTE在秩为1（最低enterDTM）产生的数据集中的所有记录每个visitID

UNTESTED：

With CTE AS (
Select EnterDTM 
,OVisitID 
,max(case when OBSCatalogName = 'height feet NU' then OBStext end) as [Height Feet] 
,max(case when OBSCatalogName = 'height inches NU' then OBStext end as [Height Inches] 
,max(case when OBSCatalogName = 'weight kg CAL' then OBStext end as [Weight] 
Rank() over (partition by VisitID, EnterDTM order by enterDTM) RNK 
FROM TableName A 
GROUP BY EnterDTM, VisitID) 
Select from cte where RNK = 1

来源

2016-04-13 21:52:45 xQbert

你可以试试下面的透视查询

select 
EnterDtm, 
VisitID, 
[height feet NU] as [Height Feet], 
[height inches NU] as [Height Inches], 
[weight kg CAL] as [Weight] 
from 
(
    select 
    t.EnterDtm, 
    t.ObsCatalogName, 
    t.VisitID, 
    t.OBSTEXT 
from tbl t 
    inner join (select min(EnterDtm) MinDtm from tbl) t2 
    on t.EnterDtm=t2.MinDtm 
)source 
pivot 
(
max(OBSTEXT) for ObsCatalogName in ([height feet NU],[height inches NU],[weight kg CAL]) 
)p

来源

2016-04-14 08:56:55 DhruvJoshi

多行与单行与多列与最小日期

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