Sql server 需要帮助才能获得这样的sql查询输出吗
这是我的问题Sql server 需要帮助才能获得这样的sql查询输出吗,sql-server,Sql Server,这是我的问题 select dtfromdate, dttodate, (SELECT DATEDIFF(day, dtfromdate, dtTodate)) AS NumberOfDays, fltspl from dbo.tblHR_SpecialLeaveTransaction where nvrempcode = 'MCL1218' and nvrstatus = 1 order by dtfromdate 结果: dtfromdat
select
dtfromdate, dttodate,
(SELECT DATEDIFF(day, dtfromdate, dtTodate)) AS NumberOfDays,
fltspl
from dbo.tblHR_SpecialLeaveTransaction
where
nvrempcode = 'MCL1218' and nvrstatus = 1
order by
dtfromdate
dtfromdate dttodate NumberOfDays fltspl
----------------------- ----------------------- ------------ ----------------------
2012-05-01 00:00:00 2012-05-31 00:00:00 30 30
select
dtfromdate, dtTodate,
(SELECT DATEDIFF(day, dtfromdate, dtTodate) ) AS NumberOfDays,
fltcl, fltsl, fltpl, fltcompoff, fltod, fltlop,
isnull(fltflexiL, 0) as fltflexiL
from
tblhr_leavetransaction
where
nvrempcode = 'MCL1218' and nvrstatus = 1
order by
dtfromdate
dtfromdate dtTodate NumberOfDays fltcl fltsl fltpl fltcompoff fltod fltlop fltflexiL
----------------------- ----------------------- ------------ ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ----------------------
2011-01-14 00:00:00 2011-01-14 00:00:00 0 1 0 0 0 0 0 0
2011-01-17 00:00:00 2011-01-17 00:00:00 0 1 0 0 0 0 0 0
2011-01-25 00:00:00 2011-01-25 00:00:00 0 0 0 0 0 1 0 0
2011-04-01 00:00:00 2011-04-02 00:00:00 1 0 0 0 0 2 0 0
2011-05-14 00:00:00 2011-05-14 00:00:00 0 0 0 0 0 1 0 0
2011-05-16 00:00:00 2011-05-16 00:00:00 0 0 0 0 1 0 0 0
2011-05-18 00:00:00 2011-05-18 00:00:00 0 1 0 0 0 0 0 0
2011-05-19 00:00:00 2011-05-20 00:00:00 1 0 2 0 0 0 0 0
2011-05-21 00:00:00 2011-05-21 00:00:00 0 1 0 0 0 0 0 0
2011-05-23 00:00:00 2011-05-23 00:00:00 0 0 0 0 1 0 0 0
dtfromdate dtTodate NumberOfDays fltcl fltsl fltpl fltcompoff fltod fltlop fltflexiL fltspl
----------------------- ----------------------- ------------ ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ----------
2011-01-14 00:00:00 2011-01-14 00:00:00 0 1 0 0 0 0 0 0 0
2011-01-17 00:00:00 2011-01-17 00:00:00 0 1 0 0 0 0 0 0 0
2011-01-25 00:00:00 2011-01-25 00:00:00 0 0 0 0 0 1 0 0 0
2011-04-01 00:00:00 2011-04-02 00:00:00 1 0 0 0 0 2 0 0 0
2011-05-14 00:00:00 2011-05-14 00:00:00 0 0 0 0 0 1 0 0 0
2011-05-16 00:00:00 2011-05-16 00:00:00 0 0 0 0 1 0 0 0 0
2011-05-18 00:00:00 2011-05-18 00:00:00 0 1 0 0 0 0 0 0 0
2011-05-19 00:00:00 2011-05-20 00:00:00 1 0 2 0 0 0 0 0 0
2011-05-21 00:00:00 2011-05-21 00:00:00 0 1 0 0 0 0 0 0 0
2011-05-23 00:00:00 2011-05-23 00:00:00 0 0 0 0 1 0 0 0 0
2012-05-01 00:00:00 2012-05-31 00:00:00 30 0 0 0 0 0 0 0 30
看起来您只想将两个查询合并在一起。要做到这一点，两个查询都必须包含所有列，只需根据需要将这些列设置为null/zero即可。另一个小小的困难是，你不能在联合时使用
orderby：
select
dtfromdate, dttodate,
(SELECT DATEDIFF(day, dtfromdate, dtTodate)) AS NumberOfDays,
0 as fltcl,
0 as fltsl,
0 as fltpl,
0 as fltcompoff,
0 as fltod,
0 as fltlop,
0 as fltflexiL,
fltspl
from dbo.tblHR_SpecialLeaveTransaction
where
nvrempcode = 'MCL1218' and nvrstatus = 1
union
select
dtfromdate, dtTodate,
(SELECT DATEDIFF(day, dtfromdate, dtTodate) ) AS NumberOfDays,
fltcl, fltsl, fltpl, fltcompoff, fltod, fltlop,
isnull(fltflexiL, 0) as fltflexiL ,
0 as fltspl
from
tblhr_leavetransaction
where
nvrempcode = 'MCL1218' and nvrstatus = 1
如果您需要特定订单：
SELECT * FROM
(
select
dtfromdate, dttodate,
(SELECT DATEDIFF(day, dtfromdate, dtTodate)) AS NumberOfDays,
0 as fltcl,
0 as fltsl,
0 as fltpl,
0 as fltcompoff,
0 as fltod,
0 as fltlop,
0 as fltflexiL,
fltspl
from dbo.tblHR_SpecialLeaveTransaction
where
nvrempcode = 'MCL1218' and nvrstatus = 1
union
select
dtfromdate, dtTodate,
(SELECT DATEDIFF(day, dtfromdate, dtTodate) ) AS NumberOfDays,
fltcl, fltsl, fltpl, fltcompoff, fltod, fltlop,
isnull(fltflexiL, 0) as fltflexiL ,
0 as fltspl
from
tblhr_leavetransaction
where
nvrempcode = 'MCL1218' and nvrstatus = 1
) src
order by dtfromdate
你能用语言解释一下你想在你的输出中得到什么吗？？只是把成堆的数据扔给我们，让我们猜测你想要什么，并不是真的有帮助。。。e、 g.第二个和第三个数据网格之间有什么区别？？它们看起来几乎一样……检查该网格的最后一行……我建议您为此尝试group by子句。k我尝试了，但无法获得准确的输出。一个小警告：派生表需要别名。