表:
UserId, Value, Date.
我想获得UserId,为每个UserId的最大值(日期)的值。也就是说,具有最新日期的每个UserId的值。有没有一种方法可以在SQL中简单地做到这一点?(最好是Oracle)
更新:为任何歧义道歉:我需要得到所有的用户id。但是对于每个UserId,只有该用户拥有最新日期的行。
表:
UserId, Value, Date.
我想获得UserId,为每个UserId的最大值(日期)的值。也就是说,具有最新日期的每个UserId的值。有没有一种方法可以在SQL中简单地做到这一点?(最好是Oracle)
更新:为任何歧义道歉:我需要得到所有的用户id。但是对于每个UserId,只有该用户拥有最新日期的行。
当前回答
select UserId,max(Date) over (partition by UserId) value from users;
其他回答
只是需要在工作中写一个“活”的例子:)
它支持在同一日期为UserId设置多个值。
列: 用户id,值,日期
SELECT
DISTINCT UserId,
MAX(Date) OVER (PARTITION BY UserId ORDER BY Date DESC),
MAX(Values) OVER (PARTITION BY UserId ORDER BY Date DESC)
FROM
(
SELECT UserId, Date, SUM(Value) As Values
FROM <<table_name>>
GROUP BY UserId, Date
)
您可以使用FIRST_VALUE而不是MAX,并在解释计划中查找它。我没有时间玩它。
当然,如果搜索巨大的表,在查询中使用FULL提示可能会更好。
我认为你应该对之前的查询进行修改:
SELECT UserId, Value FROM Users U1 WHERE
Date = ( SELECT MAX(Date) FROM Users where UserId = U1.UserId)
SELECT userid, MAX(value) KEEP (DENSE_RANK FIRST ORDER BY date DESC)
FROM table
GROUP BY userid
答案是Oracle。这里有一个更复杂的SQL回答:
谁的整体作业成绩最好(作业点数最多)?
SELECT FIRST, LAST, SUM(POINTS) AS TOTAL
FROM STUDENTS S, RESULTS R
WHERE S.SID = R.SID AND R.CAT = 'H'
GROUP BY S.SID, FIRST, LAST
HAVING SUM(POINTS) >= ALL (SELECT SUM (POINTS)
FROM RESULTS
WHERE CAT = 'H'
GROUP BY SID)
还有一个更难的例子,需要一些解释,我没有时间了
给出2008年最受欢迎的书(ISBN和书名),即2008年最常被借阅的书。
SELECT X.ISBN, X.title, X.loans
FROM (SELECT Book.ISBN, Book.title, count(Loan.dateTimeOut) AS loans
FROM CatalogEntry Book
LEFT JOIN BookOnShelf Copy
ON Book.bookId = Copy.bookId
LEFT JOIN (SELECT * FROM Loan WHERE YEAR(Loan.dateTimeOut) = 2008) Loan
ON Copy.copyId = Loan.copyId
GROUP BY Book.title) X
HAVING loans >= ALL (SELECT count(Loan.dateTimeOut) AS loans
FROM CatalogEntry Book
LEFT JOIN BookOnShelf Copy
ON Book.bookId = Copy.bookId
LEFT JOIN (SELECT * FROM Loan WHERE YEAR(Loan.dateTimeOut) = 2008) Loan
ON Copy.copyId = Loan.copyId
GROUP BY Book.title);
希望这能对(任何人)有所帮助。:)
问候 古斯
在PostgreSQL 8.4或更高版本中,你可以这样使用:
select user_id, user_value_1, user_value_2
from (select user_id, user_value_1, user_value_2, row_number()
over (partition by user_id order by user_date desc)
from users) as r
where r.row_number=1