为了获得结果,我将首先对数据进行逆透视,然后再进行透视。这unpivot将获取您的日期和诊断列并将它们转换为行。一旦数据成行,您就可以应用数据透视表。
如果您有已知数量的值,那么您可以对查询进行硬编码,如下所示:
select *
from
(
select person, [case#], age,
col+'_'+cast(rn as varchar(10)) col,
value
from
(
select person,
[case#],
age,
diagnosis,
convert(varchar(10), diagnosisdate, 101) diagnosisDate,
row_number() over(partition by person, [case#]
order by DiagnosisDate) rn
from yourtable
) d
cross apply
(
values ('diagnosis', diagnosis), ('diagnosisDate', diagnosisDate)
) c (col, value)
) t
pivot
(
max(value)
for col in (diagnosis_1, diagnosisDate_1,
diagnosis_2, diagnosisDate_2,
diagnosis_3, diagnosisDate_3,
diagnosis_4, diagnosisDate_4)
) piv;
See SQL 摆弄演示 http://www.sqlfiddle.com/#!3/c87f0/7.
我假设每个病例都有未知数量的诊断值。如果是这种情况,那么您将需要使用动态 sql 来生成结果:
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT ',' + QUOTENAME(col+'_'+cast(rn as varchar(10)))
from
(
select row_number() over(partition by person, [case#]
order by DiagnosisDate) rn
from yourtable
) t
cross join
(
select 'Diagnosis' col union all
select 'DiagnosisDate'
) c
group by col, rn
order by rn, col
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT person,
[case#],
age,' + @cols + '
from
(
select person, [case#], age,
col+''_''+cast(rn as varchar(10)) col,
value
from
(
select person,
[case#],
age,
diagnosis,
convert(varchar(10), diagnosisdate, 101) diagnosisDate,
row_number() over(partition by person, [case#]
order by DiagnosisDate) rn
from yourtable
) d
cross apply
(
values (''diagnosis'', diagnosis), (''diagnosisDate'', diagnosisDate)
) c (col, value)
) t
pivot
(
max(value)
for col in (' + @cols + ')
) p '
execute(@query);
See SQL 摆弄演示 http://www.sqlfiddle.com/#!3/c87f0/14。两个查询都给出结果:
| PERSON | CASE# | AGE | DIAGNOSIS_1 | DIAGNOSISDATE_1 | DIAGNOSIS_2 | DIAGNOSISDATE_2 | DIAGNOSIS_3 | DIAGNOSISDATE_3 | DIAGNOSIS_4 | DIAGNOSISDATE_4 |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| John | 13784 | 56 | Depression | 03/13/2012 | Brain Injury | 03/14/2012 | Spinal Cord Injury | 03/15/2012 | Hypertension | 03/16/2012 |
| Kate | 2643 | 37 | Bipolar | 03/11/2012 | Hypertension | 03/12/2012 | (null) | (null) | (null) | (null) |
| Kevin | 500934 | 25 | Down Syndrome | 03/18/2012 | Clinical Obesity | 03/19/2012 | (null) | (null) | (null) | (null) |
| Pete | 803342 | 34 | Schizophenia | 03/17/2012 | (null) | (null) | (null) | (null) | (null) | (null) |