在sql server 2008中使用包含列和行总计的数据透视表

Question

我有一个包含以下列的表

defect_id, developer_name, status, summary, root_cause, 
Secondary_RC, description, Comments, environment_name

该列root_cause具有Enviro,Requi,Dev,TSc,TD,Unkn作为其值,列environment_name具有QA1,QA2,QA3

我需要以下面的格式准备一份报告

    Enviro Requi  Dev TSc  TD Unkn  Total
QA1    9    1     14   17   2   3   46
QA2    8    1     14   0    5   1   29
QA3    1    1      7   0    0   1   10
Total 18    3     35   17   7   5   85

我准备报告直到

    Enviro Requi  Dev  TSc  TD Unkn 
QA1    9    1     14    17   2  3   
QA2    8    1     14    0    5  1   
QA3    1    1      7    0    0  1   

我使用以下查询来获得上述结果

select *
from
(
  select environment_name as " ", value
  from test1 
  unpivot
  (
     value
    for col in (root_cause)
  ) unp
) src
pivot
(
  count(value)
  for value in ([Enviro] , [Requi] , [Dev] , [Tsc], [TD] , [Unkn])
) piv

任何人都可以帮助获取列和行的总数吗？

Answer 1

可能有各种方法.您可以计算枢轴后的所有总计,或者您可以先获得总计,然后转动所有结果.也有可能有一种中间立场:获得一种总数(例如行式),枢轴,然后得到另一种,尽管这可能是过度的.

所提到的第一种方法,在枢轴之后得到所有总数,可以以非常简单的方式完成,并且在下面的实现中唯一可能是新的东西可能是GROUP BY ROLLUP():

SELECT
  [ ]      = ISNULL(environment_name, 'Total'),
  [Enviro] = SUM([Enviro]),
  [Requi]  = SUM([Requi]),
  [Dev]    = SUM([Dev]),
  [Tsc]    = SUM([Tsc]),
  [TD]     = SUM([TD]),
  [Unkn]   = SUM([Unkn]),
  Total    = SUM([Enviro] + [Requi] + [Dev] + [Tsc] + [TD] + [Unkn])
FROM (
  SELECT environment_name, root_cause
  FROM test1
) s
PIVOT (
  COUNT(root_cause)
  FOR root_cause IN ([Enviro], [Requi], [Dev], [Tsc], [TD], [Unkn])
) p
GROUP BY
  ROLLUP(environment_name)
;

基本上,GROUP BY ROLLUP()部分生产总排为您服务.分组首先完成environment_name,然后添加总计行.

要做相反的事情,即在旋转之前得到总数,你可以这样使用GROUP BY CUBE():

SELECT
  [ ]      = environment_name,
  [Enviro] = ISNULL([Enviro], 0),
  [Requi]  = ISNULL([Requi] , 0),
  [Dev]    = ISNULL([Dev]   , 0),
  [Tsc]    = ISNULL([Tsc]   , 0),
  [TD]     = ISNULL([TD]    , 0),
  [Unkn]   = ISNULL([Unkn]  , 0),
  Total    = ISNULL(Total   , 0)
FROM (
  SELECT
    environment_name = ISNULL(environment_name, 'Total'),
    root_cause       = ISNULL(root_cause,       'Total'),
    cnt              = COUNT(*)
  FROM test1
  WHERE root_cause IS NOT NULL
  GROUP BY
    CUBE(environment_name, root_cause)
) s
PIVOT (
  SUM(cnt)
  FOR root_cause IN ([Enviro], [Requi], [Dev], [Tsc], [TD], [Unkn], Total)
) p
;

这两种方法都可以在SQL Fiddle中测试和播放:

• 方法1

• 方法2

注意.我已经省略了两个建议中的隐蔽步骤,因为对单个列进行拆分似乎显然是多余的.但是,如果还有更多,那么调整其中一个查询应该很容易.