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前言

MySQL8.0之前，做數據排名統計等相當痛苦，因為沒有像Oracle、SQL SERVER 、PostgreSQL等其他數據庫那樣的窗口函數。但隨著MySQL8.0中新增了窗口函數之后，針對這類統計就再也不是事了，本文就以常用的排序實例介紹MySQL的窗口函數。

1、準備工作

創建表及測試數據

mysql> use testdb;
Database changed
/* 創建表 */
mysql> create table tb_score(id int primary key auto_increment,stu_no varchar(10),course varchar(50),score decimal(4,1)，key idx_stuNo_course(stu_no,course));
Query OK, 0 rows affected (0.03 sec)

mysql> show tables;
+------------------+
| Tables_in_testdb |
+------------------+
| tb_score  |
+------------------+

/* 新增一批測試數據 */
mysql> insert into tb_score(stu_no,course,score)values('2020001','mysql',90),('2020001','C++',85),('2020003','English',100),('2020002','mysql',50),('2020002','C++',70),('2020002','English',99);
Query OK, 6 rows affected (0.00 sec)
Records: 6 Duplicates: 0 Warnings: 0
mysql> insert into tb_score(stu_no,course,score)values('2020003','mysql',78),('2020003','C++',81),('2020003','English',80),('2020004','mysql',80),('2020004','C++',60),('2020004','English',100);
Query OK, 6 rows affected (0.01 sec)
Records: 6 Duplicates: 0 Warnings: 0
mysql> insert into tb_score(stu_no,course,score)values('2020005','mysql',98),('2020005','C++',96),('2020005','English',70),('2020006','mysql',60),('2020006','C++',90),('2020006','English',70);
Query OK, 6 rows affected (0.01 sec)
Records: 6 Duplicates: 0 Warnings: 0
mysql> insert into tb_score(stu_no,course,score)values('2020007','mysql',50),('2020007','C++',66),('2020007','English',76),('2020008','mysql',90),('2020008','C++',69),('2020008','English',86);
Query OK, 6 rows affected (0.01 sec)
Records: 6 Duplicates: 0 Warnings: 0
mysql> insert into tb_score(stu_no,course,score)values('2020009','mysql',70),('2020009','C++',66),('2020009','English',86),('2020010','mysql',75),('2020010','C++',76),('2020010','English',81);
Query OK, 6 rows affected (0.01 sec)
Records: 6 Duplicates: 0 Warnings: 0
mysql> insert into tb_score(stu_no,course,score)values('2020011','mysql',90),('2020012','C++',85),('2020011','English',84),('2020012','English',75),('2020013','C++',96),('2020013','English',88);
Query OK, 6 rows affected (0.01 sec)
Records: 6 Duplicates: 0 Warnings: 0

2、統計每門課程分數的排名

根據每門課程的分數從高到低進行排名，此時，會出現分數相同時怎么處理的問題，下面就根據不同的窗口函數來處理不同場景的需求

ROW_NUMBER

由結果可以看出，分數相同時按照學號順序進行排名

mysql> select stu_no,course,score, row_number()over(partition by course order by score desc ) rn
 -> from tb_score;
+---------+---------+-------+----+
| stu_no | course | score | rn |
+---------+---------+-------+----+
| 2020005 | C++ | 96.0 | 1 |
| 2020013 | C++ | 96.0 | 2 |
| 2020006 | C++ | 90.0 | 3 |
| 2020001 | C++ | 85.0 | 4 |
| 2020012 | C++ | 85.0 | 5 |
| 2020003 | C++ | 81.0 | 6 |
| 2020010 | C++ | 76.0 | 7 |
| 2020002 | C++ | 70.0 | 8 |
| 2020008 | C++ | 69.0 | 9 |
| 2020007 | C++ | 66.0 | 10 |
| 2020009 | C++ | 66.0 | 11 |
| 2020004 | C++ | 60.0 | 12 |
| 2020003 | English | 100.0 | 1 |
| 2020004 | English | 100.0 | 2 |
| 2020002 | English | 99.0 | 3 |
| 2020013 | English | 88.0 | 4 |
| 2020008 | English | 86.0 | 5 |
| 2020009 | English | 86.0 | 6 |
| 2020011 | English | 84.0 | 7 |
| 2020010 | English | 81.0 | 8 |
| 2020003 | English | 80.0 | 9 |
| 2020007 | English | 76.0 | 10 |
| 2020012 | English | 75.0 | 11 |
| 2020005 | English | 70.0 | 12 |
| 2020006 | English | 70.0 | 13 |
| 2020005 | mysql | 98.0 | 1 |
| 2020001 | mysql | 90.0 | 2 |
| 2020008 | mysql | 90.0 | 3 |
| 2020011 | mysql | 90.0 | 4 |
| 2020004 | mysql | 80.0 | 5 |
| 2020003 | mysql | 78.0 | 6 |
| 2020010 | mysql | 75.0 | 7 |
| 2020009 | mysql | 70.0 | 8 |
| 2020006 | mysql | 60.0 | 9 |
| 2020002 | mysql | 50.0 | 10 |
| 2020007 | mysql | 50.0 | 11 |
+---------+---------+-------+----+
36 rows in set (0.00 sec)mysql> select stu_no,course,score, row_number()over(partition by course order by score desc ) rn
 -> from tb_score;
+---------+---------+-------+----+
| stu_no | course | score | rn |
+---------+---------+-------+----+
| 2020005 | C++ | 96.0 | 1 |
| 2020013 | C++ | 96.0 | 2 |
| 2020006 | C++ | 90.0 | 3 |
| 2020001 | C++ | 85.0 | 4 |
| 2020012 | C++ | 85.0 | 5 |
| 2020003 | C++ | 81.0 | 6 |
| 2020010 | C++ | 76.0 | 7 |
| 2020002 | C++ | 70.0 | 8 |
| 2020008 | C++ | 69.0 | 9 |
| 2020007 | C++ | 66.0 | 10 |
| 2020009 | C++ | 66.0 | 11 |
| 2020004 | C++ | 60.0 | 12 |
| 2020003 | English | 100.0 | 1 |
| 2020004 | English | 100.0 | 2 |
| 2020002 | English | 99.0 | 3 |
| 2020013 | English | 88.0 | 4 |
| 2020008 | English | 86.0 | 5 |
| 2020009 | English | 86.0 | 6 |
| 2020011 | English | 84.0 | 7 |
| 2020010 | English | 81.0 | 8 |
| 2020003 | English | 80.0 | 9 |
| 2020007 | English | 76.0 | 10 |
| 2020012 | English | 75.0 | 11 |
| 2020005 | English | 70.0 | 12 |
| 2020006 | English | 70.0 | 13 |
| 2020005 | mysql | 98.0 | 1 |
| 2020001 | mysql | 90.0 | 2 |
| 2020008 | mysql | 90.0 | 3 |
| 2020011 | mysql | 90.0 | 4 |
| 2020004 | mysql | 80.0 | 5 |
| 2020003 | mysql | 78.0 | 6 |
| 2020010 | mysql | 75.0 | 7 |
| 2020009 | mysql | 70.0 | 8 |
| 2020006 | mysql | 60.0 | 9 |
| 2020002 | mysql | 50.0 | 10 |
| 2020007 | mysql | 50.0 | 11 |
+---------+---------+-------+----+
36 rows in set (0.00 sec)

DENSE_RANK

為了讓分數相同時排名也相同，則可以使用DENSE_RANK函數，結果如下：

mysql> select stu_no,course,score, DENSE_RANK()over(partition by course order by score desc ) rn 
 -> from tb_score ; 
+---------+---------+-------+----+
| stu_no | course | score | rn |
+---------+---------+-------+----+
| 2020005 | C++ | 96.0 | 1 |
| 2020013 | C++ | 96.0 | 1 |
| 2020006 | C++ | 90.0 | 2 |
| 2020001 | C++ | 85.0 | 3 |
| 2020012 | C++ | 85.0 | 3 |
| 2020003 | C++ | 81.0 | 4 |
| 2020010 | C++ | 76.0 | 5 |
| 2020002 | C++ | 70.0 | 6 |
| 2020008 | C++ | 69.0 | 7 |
| 2020007 | C++ | 66.0 | 8 |
| 2020009 | C++ | 66.0 | 8 |
| 2020004 | C++ | 60.0 | 9 |
| 2020003 | English | 100.0 | 1 |
| 2020004 | English | 100.0 | 1 |
| 2020002 | English | 99.0 | 2 |
| 2020013 | English | 88.0 | 3 |
| 2020008 | English | 86.0 | 4 |
| 2020009 | English | 86.0 | 4 |
| 2020011 | English | 84.0 | 5 |
| 2020010 | English | 81.0 | 6 |
| 2020003 | English | 80.0 | 7 |
| 2020007 | English | 76.0 | 8 |
| 2020012 | English | 75.0 | 9 |
| 2020005 | English | 70.0 | 10 |
| 2020006 | English | 70.0 | 10 |
| 2020005 | mysql | 98.0 | 1 |
| 2020001 | mysql | 90.0 | 2 |
| 2020008 | mysql | 90.0 | 2 |
| 2020011 | mysql | 90.0 | 2 |
| 2020004 | mysql | 80.0 | 3 |
| 2020003 | mysql | 78.0 | 4 |
| 2020010 | mysql | 75.0 | 5 |
| 2020009 | mysql | 70.0 | 6 |
| 2020006 | mysql | 60.0 | 7 |
| 2020002 | mysql | 50.0 | 8 |
| 2020007 | mysql | 50.0 | 8 |
+---------+---------+-------+----+
36 rows in set (0.00 sec)

RANK

DENSE_RANK的結果是分數相同時排名相同了，但是下一個名次是緊接著上一個名次的，如果2個并列的第1之后，下一個我想是第3名，則可以使用RANK函數實現

mysql> select stu_no,course,score, rank()over(partition by course order by score desc ) rn 
 -> from tb_score;
+---------+---------+-------+----+
| stu_no | course | score | rn |
+---------+---------+-------+----+
| 2020005 | C++ | 96.0 | 1 |
| 2020013 | C++ | 96.0 | 1 |
| 2020006 | C++ | 90.0 | 3 |
| 2020001 | C++ | 85.0 | 4 |
| 2020012 | C++ | 85.0 | 4 |
| 2020003 | C++ | 81.0 | 6 |
| 2020010 | C++ | 76.0 | 7 |
| 2020002 | C++ | 70.0 | 8 |
| 2020008 | C++ | 69.0 | 9 |
| 2020007 | C++ | 66.0 | 10 |
| 2020009 | C++ | 66.0 | 10 |
| 2020004 | C++ | 60.0 | 12 |
| 2020003 | English | 100.0 | 1 |
| 2020004 | English | 100.0 | 1 |
| 2020002 | English | 99.0 | 3 |
| 2020013 | English | 88.0 | 4 |
| 2020008 | English | 86.0 | 5 |
| 2020009 | English | 86.0 | 5 |
| 2020011 | English | 84.0 | 7 |
| 2020010 | English | 81.0 | 8 |
| 2020003 | English | 80.0 | 9 |
| 2020007 | English | 76.0 | 10 |
| 2020012 | English | 75.0 | 11 |
| 2020005 | English | 70.0 | 12 |
| 2020006 | English | 70.0 | 12 |
| 2020005 | mysql | 98.0 | 1 |
| 2020001 | mysql | 90.0 | 2 |
| 2020008 | mysql | 90.0 | 2 |
| 2020011 | mysql | 90.0 | 2 |
| 2020004 | mysql | 80.0 | 5 |
| 2020003 | mysql | 78.0 | 6 |
| 2020010 | mysql | 75.0 | 7 |
| 2020009 | mysql | 70.0 | 8 |
| 2020006 | mysql | 60.0 | 9 |
| 2020002 | mysql | 50.0 | 10 |
| 2020007 | mysql | 50.0 | 10 |
+---------+---------+-------+----+
36 rows in set (0.01 sec)

這樣就實現了各種排序需求。

NTILE

NTILE函數的作用是對每個分組排名后，再將對應分組分成N個小組，例如

mysql> select stu_no,course,score, rank()over(partition by course order by score desc )rn,NTILE(2)over(partition by course order by score desc ) rn_group from tb_score;
+---------+---------+-------+----+----------+
| stu_no | course | score | rn | rn_group |
+---------+---------+-------+----+----------+
| 2020005 | C++ | 96.0 | 1 | 1 |
| 2020013 | C++ | 96.0 | 1 | 1 |
| 2020006 | C++ | 90.0 | 3 | 1 |
| 2020001 | C++ | 85.0 | 4 | 1 |
| 2020012 | C++ | 85.0 | 4 | 1 |
| 2020003 | C++ | 81.0 | 6 | 1 |
| 2020010 | C++ | 76.0 | 7 | 2 |
| 2020002 | C++ | 70.0 | 8 | 2 |
| 2020008 | C++ | 69.0 | 9 | 2 |
| 2020007 | C++ | 66.0 | 10 | 2 |
| 2020009 | C++ | 66.0 | 10 | 2 |
| 2020004 | C++ | 60.0 | 12 | 2 |
| 2020003 | English | 100.0 | 1 | 1 |
| 2020004 | English | 100.0 | 1 | 1 |
| 2020002 | English | 99.0 | 3 | 1 |
| 2020013 | English | 88.0 | 4 | 1 |
| 2020008 | English | 86.0 | 5 | 1 |
| 2020009 | English | 86.0 | 5 | 1 |
| 2020011 | English | 84.0 | 7 | 1 |
| 2020010 | English | 81.0 | 8 | 2 |
| 2020003 | English | 80.0 | 9 | 2 |
| 2020007 | English | 76.0 | 10 | 2 |
| 2020012 | English | 75.0 | 11 | 2 |
| 2020005 | English | 70.0 | 12 | 2 |
| 2020006 | English | 70.0 | 12 | 2 |
| 2020005 | mysql | 98.0 | 1 | 1 |
| 2020001 | mysql | 90.0 | 2 | 1 |
| 2020008 | mysql | 90.0 | 2 | 1 |
| 2020011 | mysql | 90.0 | 2 | 1 |
| 2020004 | mysql | 80.0 | 5 | 1 |
| 2020003 | mysql | 78.0 | 6 | 1 |
| 2020010 | mysql | 75.0 | 7 | 2 |
| 2020009 | mysql | 70.0 | 8 | 2 |
| 2020006 | mysql | 60.0 | 9 | 2 |
| 2020002 | mysql | 50.0 | 10 | 2 |
| 2020007 | mysql | 50.0 | 10 | 2 |
+---------+---------+-------+----+----------+
36 rows in set (0.01 sec)

3、窗口函數小結

MySQL中還有許多其他的窗口函數，本文列舉一些，大家可以自行測試

類別	函數	說明
排序	ROW_NUMBER	為表中的每一行分配一個序號，可以指定分組（也可以不指定）及排序字段
	DENSE_RANK	根據排序字段為每個分組中的每一行分配一個序號。排名值相同時，序號相同，序號中沒有間隙（1,1,2,3這種）
	RANK	根據排序字段為每個分組中的每一行分配一個序號。排名值相同時，序號相同，但序號中存在間隙（1,1,3,4這種）
	NTILE	根據排序字段為每個分組中根據指定字段的排序再分成對應的組
分布	PERCENT_RANK	計算各分組或結果集中行的百分數等級
分布	CUME_DIST	計算某個值在一組有序的數據中累計的分布
前后	LEAD	返回分組中當前行之后的第N行的值。如果不存在對應行，則返回NULL。比如N=1時，第一名對應的值是第二名的，最后一名結果是NULL
前后	LAG	返回分組中當前行之前的第N行的值。如果不存在對應行，則返回NULL。比如N=1時，第一名對應的值是是NUL，最后一名結果是倒數第2的值
首尾中	FIRST_VALUE	返回每個分組中第一名對應的字段（或表達式）的值，例如本文中可以是第一名的分數、學號等任意字段的值
	LAST_VALUE	返回每個分組中最后一名對應的字段（或表達式）的值，例如本文中可以是最后一名的分數、學號等任意字段的值
	NTH_VALUE	返回每個分組中排名第N的對應字段（或表達式）的值，但小于N的行對應的值是NULL

MySQL中主要的窗口函數先總結這么多，建議還是得動手實踐一番。另外，MySQL5.7及之前版本的排序方式的實現很多人已總結，也建議實操一番。

總結

到此這篇關于MySQL8.0窗口函數入門實踐及總結的文章就介紹到這了,更多相關MySQL8.0窗口函數實踐內容請搜索腳本之家以前的文章或繼續瀏覽下面的相關文章希望大家以后多多支持腳本之家！

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MySQL8.0窗口函數入門實踐及總結