Detailed explanation of the use of Partition By and row_number functions in SQL Server

partition The by keyword is part of the analytic function. It is different from the aggregate function in that it can return multiple records in a group, while the aggregate function generally only has one record that reflects statistics. Records of values, partition by is used to group the result set. If not specified, it treats the entire result set as a group.

I saw a question in the group today, and I’ll summarize it here: Query the latest records under different categories. Isn't it very simple at first glance? If you want to classify, use Group By; if you want the latest record, use Order By. Then try to make it in your own table:

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First of all, I put the data in the table Listed in reverse order of submission time:

"corp_name" is the GUID of the category (please forgive the arbitrariness of my naming). OK, here we add Group By according to the original idea to see the display effect:

Uh, um. This result is different from what I imagined. It seems that when writing code, you still need to analyze the problem rationally. Your mind cannot control the result!

Since the requirements are different categories of data, besides using Group By, are there any other functions that can be used? I did some research and found out that there is indeed an over (partition by) function. So what is the difference between it and the usually used Group By? In addition to simply grouping results, Group By is generally used together with aggregate functions. Partition By also has a grouping function and is an Oracle analysis function. I won’t go into details here.

Look at the code:

ps: Detailed explanation of the use of SQL Server database partition by and ROW_NUMBER() functions

if object_id('TESTDB') is not null drop table TESTDB
create table TESTDB(A varchar(8), B varchar(8))
insert into TESTDB
select 'A1', 'B1' union all
select 'A1', 'B2' union all
select 'A1', 'B3' union all
select 'A2', 'B4' union all
select 'A2', 'B5' union all
select 'A2', 'B6' union all
select 'A3', 'B7' union all
select 'A3', 'B3' union all
select 'A3', 'B4'

SELECT * FROM TESTDB
A  B
-------
A1 B1
A1 B2
A1 B3
A2 B4
A2 B5
A2 B6
A3 B7
A3 B3
A3 B4

SELECT *,ROW_NUMBER() OVER(PARTITION BY A ORDER BY A DESC) NUM FROM TESTDB
A  B  NUM
-------------
A1 B1 1
A1 B2 2
A1 B3 3
A2 B4 1
A2 B5 2
A2 B6 3
A3 B7 1
A3 B3 2
A3 B4 3

SELECT *,ROW_NUMBER() OVER(ORDER BY A DESC)NUM FROM TESTDB
 A  B   NUM
------------------------
A3 B7  1
A3 B3  2
A3 B4  3
A2 B4  4
A2 B5  5
A2 B6  6
A1 B1  7
A1 B2  8
A1 B3  9

SELECT A = CASE WHEN NUM = 1 THEN A ELSE '' END,B
FROM (SELECT A,NUM = ROW_NUMBER() OVER(PARTITION BY A ORDER BY A DESC) FROM TESTDB) T
A  B
---------
A1 B1
  B2
  B3
A2 B4
  B5
  B6
A3 B7
  B3
  B4

Next, we will introduce the use of ROW_NUMBER() function one by one through several examples.

1. Use the row_number() function for numbering, such as

select email,customerID, ROW_NUMBER() over(order by psd) as rows from QT_Customer

2. Sort the order in ascending order of price, and sort each record with the following code:

select DID,customerID,totalPrice,ROW_NUMBER() over(order by totalPrice) as rows from OP_Order

3. Count each record All orders from each household are sorted in ascending order by the amount of each customer's order, and each customer's order is numbered. In this way, you will know how many orders each customer has placed. As shown in the picture:

The code is as follows:

select ROW_NUMBER() over(partition by customerID order by totalPrice) as rows,customerID,totalPrice, DID from OP_Order

4. Count the number of times each customer’s recent order was placed. Order.

The code is as follows:

 with tabs as 
( 
select ROW_NUMBER() over(partition by customerID order by totalPrice) as rows,customerID,totalPrice, DID from OP_Order 
 ) 
select MAX(rows) as '下单次数',customerID from tabs group by customerID

如图：

上图：rows表示客户是第几次购买。

思路：利用临时表来执行这一操作。

1.先按客户进行分组，然后按客户的下单的时间进行排序，并进行编号。

2.然后利用子查询查找出每一个客户购买时的最小价格。

3.根据查找出每一个客户的最小价格来查找相应的记录。

代码如下：

with tabs as 
 ( 
select ROW_NUMBER() over(partition by customerID order by insDT) as rows,customerID,totalPrice, DID from OP_Order 
) 
 select * from tabs 
where totalPrice in  
( 
select MIN(totalPrice)from tabs group by customerID 
 )

6.筛选出客户第一次下的订单。

思路。利用rows=1来查询客户第一次下的订单记录。

代码如下：

with tabs as 
( 
select ROW_NUMBER() over(partition by customerID order by insDT) as rows,* from OP_Order 
) 
select * from tabs where rows = 1 
select * from OP_Order

7.rows_number()可用于分页

思路：先把所有的产品筛选出来，然后对这些产品进行编号。然后在where子句中进行过滤。

8.注意：在使用over等开窗函数时，over里头的分组及排序的执行晚于“where，group by，order by”的执行。

如下代码：

select  
ROW_NUMBER() over(partition by customerID order by insDT) as rows, 
customerID,totalPrice, DID 
from OP_Order where insDT>'2011-07-22'