I have a table of data (the db is MSSQL):
我有一个数据表(db是MSSQL):
ID OrderNO PartCode Quantity DateEntered
417 2144 44917 100 18-08-11
418 7235 11762 5 18-08-11
419 9999 60657 100 18-08-11
420 9999 60657 90 19-08-11
I would like to make a query that returns OrderNO, PartCode and Quantity, but only for the last registered order.
我想做一个查询,返回OrderNO、PartCode和Quantity,但只返回最后注册的订单。
From the example table I would like to get back the following info:
我想从示例表中得到以下信息:
OrderNO PartCode Quantity
2144 44917 100
7235 11762 5
9999 60657 90
Notice that only one line was returned for order 9999.
注意,订单9999只返回一行。
Thanks!
谢谢!
9 个解决方案
#1
119
If rownumber() over(...)
is available for you ....
如果rownumber()(…)可供你....
select OrderNO,
PartCode,
Quantity
from (select OrderNO,
PartCode,
Quantity,
row_number() over(partition by OrderNO order by DateEntered desc) as rn
from YourTable) as T
where rn = 1
#2
42
The best way is Mikael Eriksson, if ROW_NUMBER()
is available to you.
最好的方法是Mikael Eriksson,如果您可以使用ROW_NUMBER()。
The next best is to join on a query, as per Cularis' answer.
下一个最佳选择是按照Cularis的回答加入查询。
Alternatively, the most simple and straight forward way is a correlated-sub-query in the WHERE clause.
或者,最简单、最直接的方法是WHERE子句中的相关子查询。
SELECT
*
FROM
yourTable AS [data]
WHERE
DateEntered = (SELECT MAX(DateEntered) FROM yourTable WHERE orderNo = [data].orderNo)
Or...
还是……
WHERE
ID = (SELECT TOP 1 ID FROM yourTable WHERE orderNo = [data].orderNo ORDER BY DateEntered DESC)
#3
20
select OrderNo,PartCode,Quantity
from dbo.Test t1
WHERE EXISTS(SELECT 1
FROM dbo.Test t2
WHERE t2.OrderNo = t1.OrderNo
AND t2.PartCode = t1.PartCode
GROUP BY t2.OrderNo,
t2.PartCode
HAVING t1.DateEntered = MAX(t2.DateEntered))
This is the fastest of all the queries supplied above. The query cost came in at 0.0070668.
这是上面提供的所有查询中最快的。查询成本为0.0070668。
The preferred answer above, by Mikael Eriksson, has a query cost of 0.0146625
上面的首选答案是Mikael Eriksson,查询成本为0.0146625
You may not care about the performance for such a small sample, but in large queries, it all adds up.
您可能不关心如此小的示例的性能,但是在大型查询中,所有这些都是有用的。
#4
9
SELECT t1.OrderNo, t1.PartCode, t1.Quantity
FROM table AS t1
INNER JOIN (SELECT OrderNo, MAX(DateEntered) AS MaxDate
FROM table
GROUP BY OrderNo) AS t2
ON (t1.OrderNo = t2.OrderNo AND t1.DateEntered = t2.MaxDate)
The inner query selects all OrderNo
with their maximum date. To get the other columns of the table, you can join them on OrderNo
and the MaxDate
.
内部查询选择具有最大日期的所有OrderNo。要获取表的其他列,可以在OrderNo和MaxDate上联接它们。
#5
2
For MySql you can do something like the following:
对于MySql,您可以执行以下操作:
select OrderNO, PartCode, Quantity from table a
join (select ID, MAX(DateEntered) from table group by OrderNO) b on a.ID = b.ID
#6
2
And u can also use that select statement as left join query... Example :
u也可以使用select语句作为左连接查询……例子:
... left join (select OrderNO,
PartCode,
Quantity from (select OrderNO,
PartCode,
Quantity,
row_number() over(partition by OrderNO order by DateEntered desc) as rn
from YourTable) as T where rn = 1 ) RESULT on ....
Hope this help someone that search for this :)
希望这能帮助寻找这个的人:)
#7
1
rownumber() over(...) is working but I didn't like this solution for 2 reasons. - This function is not available when you using older version of SQL like SQL2000 - Dependency on function and is not really readable.
rownumber() over(…)正在工作,但我不喜欢这个解决方案有两个原因。当您使用像SQL2000这样的老版本的SQL时,这个函数是不可用的,它依赖于函数,而且可读性不强。
Another solution is:
另一个解决方案是:
SELECT tmpall.[OrderNO] ,
tmpall.[PartCode] ,
tmpall.[Quantity] ,
FROM (SELECT [OrderNO],
[PartCode],
[Quantity],
[DateEntered]
FROM you_table) AS tmpall
INNER JOIN (SELECT [OrderNO],
Max([DateEntered]) AS _max_date
FROM your_table
GROUP BY OrderNO ) AS tmplast
ON tmpall.[OrderNO] = tmplast.[OrderNO]
AND tmpall.[DateEntered] = tmplast._max_date
#8
1
If you have indexed ID and OrderNo You can use IN: (I hate trading simplicity for obscurity, just to save some cycles):
如果你有索引ID和OrderNo,你可以使用它:(我讨厌为晦涩而交易简单,只是为了节省一些周期):
select * from myTab where ID in(select max(ID) from myTab group by OrderNo);
#9
0
Try to avoid IN use JOIN
尽量避免使用JOIN
SELECT SQL_CALC_FOUND_ROWS * FROM (SELECT msisdn, callid, Change_color, play_file_name, date_played FROM insert_log
WHERE play_file_name NOT IN('Prompt1','Conclusion_Prompt_1','silent')
ORDER BY callid ASC) t1 JOIN (SELECT MAX(date_played) AS date_played FROM insert_log GROUP BY callid) t2 ON t1.date_played=t2.date_played
#1
119
If rownumber() over(...)
is available for you ....
如果rownumber()(…)可供你....
select OrderNO,
PartCode,
Quantity
from (select OrderNO,
PartCode,
Quantity,
row_number() over(partition by OrderNO order by DateEntered desc) as rn
from YourTable) as T
where rn = 1
#2
42
The best way is Mikael Eriksson, if ROW_NUMBER()
is available to you.
最好的方法是Mikael Eriksson,如果您可以使用ROW_NUMBER()。
The next best is to join on a query, as per Cularis' answer.
下一个最佳选择是按照Cularis的回答加入查询。
Alternatively, the most simple and straight forward way is a correlated-sub-query in the WHERE clause.
或者,最简单、最直接的方法是WHERE子句中的相关子查询。
SELECT
*
FROM
yourTable AS [data]
WHERE
DateEntered = (SELECT MAX(DateEntered) FROM yourTable WHERE orderNo = [data].orderNo)
Or...
还是……
WHERE
ID = (SELECT TOP 1 ID FROM yourTable WHERE orderNo = [data].orderNo ORDER BY DateEntered DESC)
#3
20
select OrderNo,PartCode,Quantity
from dbo.Test t1
WHERE EXISTS(SELECT 1
FROM dbo.Test t2
WHERE t2.OrderNo = t1.OrderNo
AND t2.PartCode = t1.PartCode
GROUP BY t2.OrderNo,
t2.PartCode
HAVING t1.DateEntered = MAX(t2.DateEntered))
This is the fastest of all the queries supplied above. The query cost came in at 0.0070668.
这是上面提供的所有查询中最快的。查询成本为0.0070668。
The preferred answer above, by Mikael Eriksson, has a query cost of 0.0146625
上面的首选答案是Mikael Eriksson,查询成本为0.0146625
You may not care about the performance for such a small sample, but in large queries, it all adds up.
您可能不关心如此小的示例的性能,但是在大型查询中,所有这些都是有用的。
#4
9
SELECT t1.OrderNo, t1.PartCode, t1.Quantity
FROM table AS t1
INNER JOIN (SELECT OrderNo, MAX(DateEntered) AS MaxDate
FROM table
GROUP BY OrderNo) AS t2
ON (t1.OrderNo = t2.OrderNo AND t1.DateEntered = t2.MaxDate)
The inner query selects all OrderNo
with their maximum date. To get the other columns of the table, you can join them on OrderNo
and the MaxDate
.
内部查询选择具有最大日期的所有OrderNo。要获取表的其他列,可以在OrderNo和MaxDate上联接它们。
#5
2
For MySql you can do something like the following:
对于MySql,您可以执行以下操作:
select OrderNO, PartCode, Quantity from table a
join (select ID, MAX(DateEntered) from table group by OrderNO) b on a.ID = b.ID
#6
2
And u can also use that select statement as left join query... Example :
u也可以使用select语句作为左连接查询……例子:
... left join (select OrderNO,
PartCode,
Quantity from (select OrderNO,
PartCode,
Quantity,
row_number() over(partition by OrderNO order by DateEntered desc) as rn
from YourTable) as T where rn = 1 ) RESULT on ....
Hope this help someone that search for this :)
希望这能帮助寻找这个的人:)
#7
1
rownumber() over(...) is working but I didn't like this solution for 2 reasons. - This function is not available when you using older version of SQL like SQL2000 - Dependency on function and is not really readable.
rownumber() over(…)正在工作,但我不喜欢这个解决方案有两个原因。当您使用像SQL2000这样的老版本的SQL时,这个函数是不可用的,它依赖于函数,而且可读性不强。
Another solution is:
另一个解决方案是:
SELECT tmpall.[OrderNO] ,
tmpall.[PartCode] ,
tmpall.[Quantity] ,
FROM (SELECT [OrderNO],
[PartCode],
[Quantity],
[DateEntered]
FROM you_table) AS tmpall
INNER JOIN (SELECT [OrderNO],
Max([DateEntered]) AS _max_date
FROM your_table
GROUP BY OrderNO ) AS tmplast
ON tmpall.[OrderNO] = tmplast.[OrderNO]
AND tmpall.[DateEntered] = tmplast._max_date
#8
1
If you have indexed ID and OrderNo You can use IN: (I hate trading simplicity for obscurity, just to save some cycles):
如果你有索引ID和OrderNo,你可以使用它:(我讨厌为晦涩而交易简单,只是为了节省一些周期):
select * from myTab where ID in(select max(ID) from myTab group by OrderNo);
#9
0
Try to avoid IN use JOIN
尽量避免使用JOIN
SELECT SQL_CALC_FOUND_ROWS * FROM (SELECT msisdn, callid, Change_color, play_file_name, date_played FROM insert_log
WHERE play_file_name NOT IN('Prompt1','Conclusion_Prompt_1','silent')
ORDER BY callid ASC) t1 JOIN (SELECT MAX(date_played) AS date_played FROM insert_log GROUP BY callid) t2 ON t1.date_played=t2.date_played