在MySQL中有一个很好的方法来复制SQL Server函数ROW_NUMBER()?
例如:
SELECT
col1, col2,
ROW_NUMBER() OVER (PARTITION BY col1, col2 ORDER BY col3 DESC) AS intRow
FROM Table1
然后,例如,我可以添加一个条件,将intRow限制为1,以获得每个(col1, col2)对的col3最高的单行。
在MySQL中有一个很好的方法来复制SQL Server函数ROW_NUMBER()?
例如:
SELECT
col1, col2,
ROW_NUMBER() OVER (PARTITION BY col1, col2 ORDER BY col3 DESC) AS intRow
FROM Table1
然后,例如,我可以添加一个条件,将intRow限制为1,以获得每个(col1, col2)对的col3最高的单行。
当前回答
这允许在MySQL中实现ROW_NUMBER()和PARTITION BY提供的相同功能
SELECT @row_num := IF(@prev_value=GENDER,@row_num+1,1) AS RowNumber
FirstName,
Age,
Gender,
@prev_value := GENDER
FROM Person,
(SELECT @row_num := 1) x,
(SELECT @prev_value := '') y
ORDER BY Gender, Age DESC
其他回答
我也会投票给Mosty Mostacho的解决方案,对他的查询代码进行了轻微的修改:
SELECT a.i, a.j, (
SELECT count(*) from test b where a.j >= b.j AND a.i = b.i
) AS row_number FROM test a
会得到相同的结果:
+------+------+------------+
| i | j | row_number |
+------+------+------------+
| 1 | 11 | 1 |
| 1 | 12 | 2 |
| 1 | 13 | 3 |
| 2 | 21 | 1 |
| 2 | 22 | 2 |
| 2 | 23 | 3 |
| 3 | 31 | 1 |
| 3 | 32 | 2 |
| 3 | 33 | 3 |
| 4 | 14 | 1 |
+------+------+------------+
对于表格:
+------+------+
| i | j |
+------+------+
| 1 | 11 |
| 1 | 12 |
| 1 | 13 |
| 2 | 21 |
| 2 | 22 |
| 2 | 23 |
| 3 | 31 |
| 3 | 32 |
| 3 | 33 |
| 4 | 14 |
+------+------+
唯一的区别是查询不使用JOIN和GROUP BY,而是依赖于嵌套选择。
SELECT
@i:=@i+1 AS iterator,
t.*
FROM
tablename AS t,
(SELECT @i:=0) AS foo
我认为你可以在这里使用DENSE_RANK()函数。 例子:
select `score`, DENSE_RANK() OVER( ORDER BY score desc ) as `rank` from Scores;
https://www.mysqltutorial.org/mysql-window-functions/mysql-dense_rank-function/
这允许在MySQL中实现ROW_NUMBER()和PARTITION BY提供的相同功能
SELECT @row_num := IF(@prev_value=GENDER,@row_num+1,1) AS RowNumber
FirstName,
Age,
Gender,
@prev_value := GENDER
FROM Person,
(SELECT @row_num := 1) x,
(SELECT @prev_value := '') y
ORDER BY Gender, Age DESC
对于另一个列的划分,一种方法是由@abcdn描述的。但是,它的性能很低。我建议使用这段代码,它不需要连接表本身: 考虑同一张桌子。
你可以得到这样的分区:
set @row_num := 0;
set @j:= 0;
select IF(j= @j, @row_num := @row_num + 1, @row_num := 1) as row_num,
i, @j:= j as j
from tbl fh
order by j, i;
结果是这样的:
这样做的好处是我们不需要连接表本身