我需要在分区上使用Row_number才能在SQL Server中实现此目的

Question

我有三栏 PID，AppNo和ProcessedDate 我需要查询以以下格式更新AppNo

PID AppNo   ProcessedDate
11  1      09/30/2019 18:21
3   1      09/25/2019 08:37
3   2      09/25/2019 08:37
11  1      09/25/2019 08:39
11  2      09/25/2019 08:40
7   1      09/26/2019 14:19
7   2      09/26/2019 14:20
7   3      09/26/2019 14:22
2   1      09/26/2019 14:23
11  1      09/26/2019 14:23
11  2      09/26/2019 14:24
11  3      09/26/2019 14:24
3   1      09/26/2019 14:24

目前，“ AppNo”列为空。

这是行不通的SQL

SELECT AppNo, ProcessedDate,pid
,Row_Number() OVER(PARTITION BY pid, ProcessedDate ORDER BY ProcessedDate) AS rn
select * FROM table 

Answer 1

查询。

SELECT pid as ProjectID
  , Row_Number() OVER(PARTITION BY pid, ProcessedDate ORDER BY ProcessedDate) AS AppNo
  , ProcessedDate
FROM table

Answer 2

如果row_number不应将时间视为以下时间，则将ProcessedDate转换为日期：

 SELECT AppNo, ProcessedDate,pid
,Row_Number() OVER(PARTITION BY pid, convert (date,ProcessedDate) 
                   ORDER BY ProcessedDate) AS rn
from @T

您可以将更新写为：

with CTE as(
SELECT  ProcessedDate,pid
,Row_Number() OVER(PARTITION BY pid, convert (date,ProcessedDate) 
                   ORDER BY ProcessedDate) AS rn
from Test
    )
    update CTE
    set AppNo = rn

并将结果测试为：

Select AppNo , 
       Row_Number() OVER(PARTITION BY pid, convert (date,ProcessedDate) 
                         ORDER BY ProcessedDate) AS rn,
       ProcessedDate,
       pid
from Test

Sample code here..

Answer 3

您似乎正在寻找更新原始表格的方法。您可以在CTE中使用ROW_NUMBER()对具有相同日期（无时间）和pid的组（按日期（有时间）排序）对记录进行排名，然后即时进行更新：

WITH cte AS (
    SELECT 
        pid, 
        ProcessedDate, 
        AppNo, 
        ROW_NUMBER() OVER(PARTITION BY pid, CAST(ProcessedDate AS DATE) ORDER BY ProcessedDate) rn 
    FROM mytable
)
UPDATE cte SET AppNo = rn

Demo on DB Fiddle

原始数据：

PID | AppNo | ProcessedDate   
--: | ----: | :---------------
 11 |  null | 09/30/2019 18:21
  3 |  null | 09/25/2019 08:37
  3 |  null | 09/25/2019 08:37
 11 |  null | 09/25/2019 08:39
 11 |  null | 09/25/2019 08:40
  7 |  null | 09/26/2019 14:19
  7 |  null | 09/26/2019 14:20
  7 |  null | 09/26/2019 14:22
  2 |  null | 09/26/2019 14:23
 11 |  null | 09/26/2019 14:23
 11 |  null | 09/26/2019 14:24
 11 |  null | 09/26/2019 14:24
  3 |  null | 09/26/2019 14:24

运行查询后：

PID | AppNo | ProcessedDate   
--: | ----: | :---------------
 11 |     1 | 09/30/2019 18:21
  3 |     1 | 09/25/2019 08:37
  3 |     2 | 09/25/2019 08:37
 11 |     1 | 09/25/2019 08:39
 11 |     2 | 09/25/2019 08:40
  7 |     1 | 09/26/2019 14:19
  7 |     2 | 09/26/2019 14:20
  7 |     3 | 09/26/2019 14:22
  2 |     1 | 09/26/2019 14:23
 11 |     1 | 09/26/2019 14:23
 11 |     2 | 09/26/2019 14:24
 11 |     3 | 09/26/2019 14:24
  3 |     1 | 09/26/2019 14:24

Answer 4

您必须仅使用带有日期部分的分区，例如：

SELECT AppNo, ProcessedDate,pid
,Row_Number() OVER(PARTITION BY pid, CONVERT(VARCHAR(10), ProcessedDate, 111) ORDER BY ProcessedDate) AS rn
select * FROM table 

Answer 5

如果ProcessedDate的类型为DATETIME，则可以

SELECT 
    pid, 
    ROW_NUMBER() OVER (
        PARTITION BY pid, convert(date, ProcessedDate) 
        ORDER BY pid, ProcessedDate
    ) AppNo,
    ProcessedDate
FROM table

如果ProcessedDate的类型为VARCHAR，则可以

;WITH
t as (
    SELECT  pid, convert(datetime, ProcessedDate, 120) ProcessedDate
    from table
)
SELECT 
    pid, 
    ROW_NUMBER() OVER (
        PARTITION BY pid, convert(date, ProcessedDate) 
        ORDER BY pid, ProcessedDate
    ) AppNo,
    ProcessedDate
FROM t