我想知道是否有人可以帮助我......
我有以下SQL查询(已将其缩短为大型联合查询)
SELECT [ Month ],
sum(total)
from
(select datename(month,Resolved1Date) as ' Month ',
COUNT(case when
fileDescription not like 'test%'
and Issue1Description ='Escalated' then 0 else 1 end) as 'total'
FROM complaint_1 WITH (nolock) INNER JOIN
Case WITH (nolock) ON Case.ref = complaint_1.ref
WHERE
Resolved1Date >=DATEADD(yy,DATEDIFF(yy,0,GETDATE()),0)
Resolved1Date <= dateadd(mm,datediff(mm,0,getdate()),0)
group by datename(month,Resolved1Date), datepart(month, Resolved1Date)
)x
group by [ Month ]
order by [ Month ] desc
查询计算所有解决日期在当前年份的第1天和当前月份之间的情况。我的问题是如果一个月没有结果它排除了月份,我希望我的结果返回类似: -
jan 5
feb 10
march 7
apr 0
may 2
任何人都能引导我朝着正确的方向前进吗?
答案 0 :(得分:2)
创建一组Months作为from子句中的第一个表,并将您的查询加入到此子句中。然后你会得到每个月的结果。 我在财务报告方面遇到类似的问题,我需要所有月份和财政年度的结果。 我使用了DATENAME函数来确保查询的结果一致。 如果您想要按月订单(1月 - 2月 - 3月)的数据,您可能不希望按月订购,因为这将按字母顺序排列,您需要包含排序字段。
SELECT M.[ Month ] AS [ Month ]
,SUM(ISNULL(x.total,0)) AS [Total] -- x.total will be null for months with no transactions.
FROM -- Set of Months (need one record for each month)
(SELECT * FROM (VALUES(DATENAME(month,'2015-01-01'),1)
,(DATENAME(month,'2015-02-01'),2)
,(DATENAME(month,'2015-03-01'),3)
,(DATENAME(month,'2015-04-01'),4)
,(DATENAME(month,'2015-05-01'),5)
,(DATENAME(month,'2015-06-01'),6)
,(DATENAME(month,'2015-07-01'),7)
,(DATENAME(month,'2015-08-01'),8)
,(DATENAME(month,'2015-09-01'),9)
,(DATENAME(month,'2015-10-01'),10)
,(DATENAME(month,'2015-11-01'),11)
,(DATENAME(month,'2015-12-01'),12)) AS Mnth(" Month ",MnthSort)) AS M
LEFT OUTER JOIN -- Your from clause goes here.
(SELECT *
FROM (VALUES (DATENAME(month,'2015-01-01'),5)
,(DATENAME(month,'2015-02-01'),4)
,(DATENAME(month,'2015-02-01'),6)
,(DATENAME(month,'2015-03-01'),7)
,(DATENAME(month,'2015-04-01'),0)
,(DATENAME(month,'2015-05-01'),1)
,(DATENAME(month,'2015-05-01'),1)
) AS data(" Month ","total")) x ON x.[ Month ] = M.[ Month ]
GROUP BY M.[ Month ], M.MnthSort
ORDER BY M.MnthSort
我在SQL Server 2008上运行了这个 - R1
查询中from子句的第一部分以表格格式定义月份集合,每个月返回一行(运行此项以查看结果):
SELECT * FROM (VALUES(DATENAME(month,'2015-01-01'),1)
,(DATENAME(month,'2015-02-01'),2)
,(DATENAME(month,'2015-03-01'),3)
,(DATENAME(month,'2015-04-01'),4)
,(DATENAME(month,'2015-05-01'),5)
,(DATENAME(month,'2015-06-01'),6)
,(DATENAME(month,'2015-07-01'),7)
,(DATENAME(month,'2015-08-01'),8)
,(DATENAME(month,'2015-09-01'),9)
,(DATENAME(month,'2015-10-01'),10)
,(DATENAME(month,'2015-11-01'),11)
,(DATENAME(month,'2015-12-01'),12)) AS Mnth(" Month ",MnthSort)
LEVER OUTER JOIN是将查询结果链接到每个月,因此每个月都会得到一个总数。使用外部联接是因为每个月没有总计。
使用上面的sql查询将是:
SELECT M.[ Month ] AS [ Month ]
,SUM(ISNULL(x.total,0)) AS [Total] -- x.total will be null for months with no transactions.
FROM -- Set of Months (January - December), ensures one record for each month
(SELECT * FROM (VALUES(DATENAME(month,'2015-01-01'),1)
,(DATENAME(month,'2015-02-01'),2)
,(DATENAME(month,'2015-03-01'),3)
,(DATENAME(month,'2015-04-01'),4)
,(DATENAME(month,'2015-05-01'),5)
,(DATENAME(month,'2015-06-01'),6)
,(DATENAME(month,'2015-07-01'),7)
,(DATENAME(month,'2015-08-01'),8)
,(DATENAME(month,'2015-09-01'),9)
,(DATENAME(month,'2015-10-01'),10)
,(DATENAME(month,'2015-11-01'),11)
,(DATENAME(month,'2015-12-01'),12)) AS Mnth(" Month ",MnthSort)) AS M
LEFT OUTER JOIN -- Your Query included from here...
(SELECT datename(month,Resolved1Date) as ' Month ',
COUNT(CASE WHEN fileDescription NOT LIKE 'test%'
AND Issue1Description ='Escalated' THEN 0 ELSE 1
END) as 'total'
FROM complaint_1 WITH (nolock)
INNER JOIN Case WITH (nolock) ON Case.ref = complaint_1.ref
WHERE
Resolved1Date >=DATEADD(yy,DATEDIFF(yy,0,GETDATE()),0)
Resolved1Date <= dateadd(mm,datediff(mm,0,getdate()),0)
group by datename(month,Resolved1Date), datepart(month, Resolved1Date)
) x on x.[ Month ] = M.[ Month ]
GROUP BY M.[ Month ], M.MnthSort
ORDER BY M.MnthSort
答案 1 :(得分:1)
您可以从中创建临时表和左连接。
这样的事情:
DECLARE @Helper TABLE
(
TheDate datetime
)
DECLARE @StartDate datetime
SELECT @StartDate = '01.01.2015'
WHILE @StartDate < DATEADD(day,7,GETDATE())
BEGIN
INSERT INTO @Helper (Thedate) VALUES (@StartDate)
SELECT @StartDate = DATEADD(MONTH, 1, @StartDate)
END
我希望它有所帮助。