早安
希望您能提供帮助,因为我无法用菜鸟的大脑解决这个问题。 :)
我有一个SQL查询。
SELECT
i.cOurRef as 'IR Number',
date(i.dCreated) as 'Date Created',
a.cDisplayName as 'Logged To',
c.Name as Client,
i.cOutline as Description,
date(i.dDueBy) as 'Due date'
FROM
_rtblIncidents i
left join
_rtblagents a on
i.iCurrentAgentID = a.idAgents
left join client c on
i.iDebtorID = c.DCLink
where iIncidentStatusID <> '3' and iIncidentTypeID in (11,75) and
iCurrentAgentID in (285,284,266,55,113,282,190,293)
此部分正常工作。并产生所需的输出。
IR Number Date Created Logged To Client Description Due date
IR00032 2018/11/20 Eng 1 client 1 Desc 1 2018/12/07
IR00033 2018/12/06 Eng 2 client 2 Desc 2 2018/12/07
IR00034 2018/12/06 Eng 3 client 3 Desc 3 2018/12/07
IR00035 2018/12/05 Eng 4 client 4 Desc 4 2018/12/06
IR00036 2018/12/03 Eng 5 client 5 Desc 5 2018/12/07
IR00037 2018/11/26 Eng 6 client 6 Desc 6 2018/12/05
我想做的是在输出中添加另一列,该列将显示“到期日后几天内的请求的年龄。我自己执行此查询的查询很好。
SELECT
DATEDIFF(CURDATE(),DATE(dCreated)) AS 'Ticket Age'
FROM _rtblIncidents
并计算日期。
Ticket Age
63
37
28
21
17
17
我尝试合并查询,但是不起作用,mysql抱怨2个查询具有不同的数字列。
任何帮助都将不胜感激。
答案 0 :(得分:0)
您可以尝试以下操作-只需将计算出的文件添加到选择列表中即可
SELECT
i.cOurRef as 'IR Number',
date(i.dCreated) as 'Date Created',
a.cDisplayName as 'Logged To',
c.Name as Client,
i.cOutline as Description,
date(i.dDueBy) as 'Due date', DATEDIFF(CURDATE(),date(i.dCreated)) AS 'Ticket Age'
FROM
_rtblIncidents i
left join
_rtblagents a on
i.iCurrentAgentID = a.idAgents
left join client c on
i.iDebtorID = c.DCLink
where iIncidentStatusID <> '3' and iIncidentTypeID in (11,75) and
iCurrentAgentID in (285,284,266,55,113,282,190,293)
答案 1 :(得分:-1)
您也可以使用子选择查询来计算字段。
SELECT
i.cOurRef as 'IR Number',
date(i.dCreated) as 'Date Created',
a.cDisplayName as 'Logged To',
c.Name as Client,
i.cOutline as Description,
date(i.dDueBy) as 'Due date',
(SELECT DATEDIFF(CURDATE(),DATE(i.dCreated))) AS 'Ticket Age'
FROM
_rtblIncidents i
left join
_rtblagents a on
i.iCurrentAgentID = a.idAgents
left join client c on
i.iDebtorID = c.DCLink
where iIncidentStatusID <> '3' and iIncidentTypeID in (11,75) and
iCurrentAgentID in (285,284,266,55,113,282,190,293)