我有一个表，它是一个关于用户何时登录的集合条目。
username, date, value
--------------------------
brad, 1/2/2010, 1.1
fred, 1/3/2010, 1.0
bob, 8/4/2009, 1.5
brad, 2/2/2010, 1.2
fred, 12/2/2009, 1.3
etc..
我如何创建一个查询，将给我每个用户的最新日期?
更新:我忘记了我需要有一个值与最近的日期。
当前回答
根据我的经验，最快的方法是取表中没有新行的每一行。
另一个优点是所使用的语法非常简单，而且查询的含义相当容易掌握(取所有行，确保所考虑的用户名不存在更新的行)。
不存在
SELECT username, value
FROM t
WHERE NOT EXISTS (
SELECT *
FROM t AS witness
WHERE witness.username = t.username AND witness.date > t.date
);
ROW_NUMBER
SELECT username, value
FROM (
SELECT username, value, row_number() OVER (PARTITION BY username ORDER BY date DESC) AS rn
FROM t
) t2
WHERE rn = 1
内连接
SELECT t.username, t.value
FROM t
INNER JOIN (
SELECT username, MAX(date) AS date
FROM t
GROUP BY username
) tm ON t.username = tm.username AND t.date = tm.date;
左外连接
SELECT username, value
FROM t
LEFT OUTER JOIN t AS w ON t.username = w.username AND t.date < w.date
WHERE w.username IS NULL
其他回答
根据我的经验，最快的方法是取表中没有新行的每一行。
另一个优点是所使用的语法非常简单，而且查询的含义相当容易掌握(取所有行，确保所考虑的用户名不存在更新的行)。
不存在
SELECT username, value
FROM t
WHERE NOT EXISTS (
SELECT *
FROM t AS witness
WHERE witness.username = t.username AND witness.date > t.date
);
ROW_NUMBER
SELECT username, value
FROM (
SELECT username, value, row_number() OVER (PARTITION BY username ORDER BY date DESC) AS rn
FROM t
) t2
WHERE rn = 1
内连接
SELECT t.username, t.value
FROM t
INNER JOIN (
SELECT username, MAX(date) AS date
FROM t
GROUP BY username
) tm ON t.username = tm.username AND t.date = tm.date;
左外连接
SELECT username, value
FROM t
LEFT OUTER JOIN t AS w ON t.username = w.username AND t.date < w.date
WHERE w.username IS NULL
SELECT *
FROM MyTable T1
WHERE date = (
SELECT max(date)
FROM MyTable T2
WHERE T1.username=T2.username
)
我为我的申请做了一些事情:
查询结果如下:
select distinct i.userId,i.statusCheck, l.userName from internetstatus
as i inner join login as l on i.userID=l.userID
where nowtime in((select max(nowtime) from InternetStatus group by userID));
SELECT *
FROM ReportStatus c
inner join ( SELECT
MAX(Date) AS MaxDate
FROM ReportStatus ) m
on c.date = m.maxdate
我的小汇编
自连接优于嵌套选择 但是group by不提供主键，这对于join来说更可取 这个键可以通过分区by和first_value (docs)一起给出
这里有一个查询:
select t.* from Table t inner join ( select distinct first_value(ID) over(partition by GroupColumn order by DateColumn desc) as ID from Table where FilterColumn = 'value' ) j on t.ID = j.ID
优点:
使用where语句使用任意列筛选数据 从筛选的行中选择任意列
缺点:
需要MS SQL Server从2012年开始。
