All*_* Xu 1 sql t-sql sql-server ranking sql-server-2014
使用SQL Server 2014:
请考虑下表:
DECLARE @Table TABLE (
Id int NOT NULL identity(1,1),
Col_Value varchar(2)
)
INSERT INTO @Table (Col_Value)
VALUES ('A'),('A'),('B'),('B'),('B'),('A'),('A'),('B'),('B'),('B'),('A'),('B'),('B'),('A'),('A'),('B'),('C'),('C'),('A'),('A'),('B'),('B'),('C')
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如何在结果中创建一个生成R列的查询,如下所示
+----+------+---+
| ID | Data | R |
+----+------+---+
| 1 | A | 1 |
+----+------+---+
| 2 | A | 2 |
+----+------+---+
| 3 | B | 1 |
+----+------+---+
| 4 | B | 2 |
+----+------+---+
| 5 | B | 3 |
+----+------+---+
| 6 | A | 1 |
+----+------+---+
| 7 | A | 2 |
+----+------+---+
| 8 | B | 1 |
+----+------+---+
| 9 | B | 2 |
+----+------+---+
| 10 | B | 3 |
+----+------+---+
| 11 | A | 1 |
+----+------+---+
| 12 | B | 1 |
+----+------+---+
| 13 | B | 2 |
+----+------+---+
| 14 | A | 1 |
+----+------+---+
| 15 | A | 2 |
+----+------+---+
| 16 | B | 1 |
+----+------+---+
| 17 | C | 1 |
+----+------+---+
| 18 | C | 2 |
+----+------+---+
| 19 | A | 1 |
+----+------+---+
| 20 | A | 2 |
+----+------+---+
| 21 | B | 1 |
+----+------+---+
| 22 | B | 2 |
+----+------+---+
| 23 | C | 1 |
+----+------+---+
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在上面的结果表中,一旦Data列连续变化,R值将重置为1
更新1
Ben Thul的答案非常有效.
我建议在帖子下面更新一下这个答案的参考.
这被称为文献中的"间隙和岛屿"问题.首先,我提出的解决方案:
with cte as (
select *, [Id] - row_number() over (partition by [Col_Value] order by [Id]) as [GroupID]
from @table
)
select [Id], [Col_Value], row_number() over (partition by [GroupID], [Col_Value] order by [Id])
from cte
order by [Id];
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对于说明,请注意,如果我使用枚举所有"A"值row_number(),那些连续的row_number()值的值将与Id值的速率相同.也就是说,他们的差异对于那个连续组(也称为"岛")的人来说是相同的.一旦我们计算了该组标识符,它就只是枚举每个组的每个成员.