Oracle 分析函数row_number() over (partition by order by ) 的 Mysql的替代方法

--比较高效
select empid,deptid,salary,rank from (
select heyf_tmp.empid,heyf_tmp.deptid,heyf_tmp.salary,@rownum1:=@rownum1+1 ,
if(@pdept=heyf_tmp.deptid,@rank:=@rank+1,@rank:=1) as rank,
@pdept:=heyf_tmp.deptid
from (
select empid,deptid,salary from heyf_t10 order by deptid asc ,salary desc
) heyf_tmp ,(select @rownum1 :=0 , @pdept := null ,@rank:=0) a ) result
;

--最高效
select * from (
SELECT empid, deptid, salary,
case when @mid = deptid then @row:=@row+1 else @row:=1 end rownum,
@mid:=deptid
FROM heyf_t10

order by deptid,salary desc) tt where tt.rownum=1;

----------------------------------转载-----------------------------------------------------------

Mysql：实现row_number分组排序功能

在sql server 和 oracle 中均有row_number 实现功能，即对查询结果进行分组排序添加字段。而在mysql中无内置函数，需要曲线救国。

表结构：

CREATE TABLE `total_freq_ctrl` (

`time` int(10) unsigned NOT NULL,

`machine` char(64) NOT NULL,

`module` char(32) NOT NULL,

`total_flow` int(10) unsigned NOT NULL,

`deny_flow` int(10) unsigned NOT NULL,

PRIMARY KEY (`module`,`machine`,`time`)

) ENGINE=InnoDB DEFAULT CHARSET=utf8

1、通过内表连接进行对应字段大小计数方式判断该条记录所处的row_number

SELECT machine, deny_flow, total_flow, time

FROM total_freq_ctrl A

WHERE ( SELECT COUNT(machine)

FROM total_freq_ctrl

WHERE machine = A.machine AND time > A.time) < 1

AND A.module = 'all'

ORDER BY A.time desc;

在修改排序序号的位置，修改你需要取出的序列号，即为取出N-1的序号

2、引入@rownum 将表内数据添加序列号

set @row=0;

SELECT module, machine, time, @row:=@row+1 rownum

FROM total_freq_ctrl

order by module,machine,time desc

limit 10;

结果展示：

+--------+---------------+------------+--------+

+--------+---------------+------------+--------+

| all | 10.201.20.181 | 1409640060 | 1 |

| all | 10.201.20.181 | 1409640000 | 2 |

| all | 10.201.20.181 | 1409639940 | 3 |

| all | 10.201.20.181 | 1409639880 | 4 |

| all | 10.201.20.97 | 1409640060 | 5 |

| all | 10.201.20.97 | 1409640000 | 6 |

| all | 10.201.20.97 | 1409639940 | 7 |

| all | 10.201.20.97 | 1409639880 | 8 |

| all | 10.201.20.98 | 1409640060 | 9 |

| all | 10.201.20.98 | 1409640000 | 10 |

+--------+---------------+------------+--------+

3、添加@mid来进行分组，按mid进行分组添加rownum

set @row=0;

set @mid='';

SELECT module, machine, time,

case when @mid = machine then @row:=@row+1 else @row:=1 end rownum,

@mid:=machine

FROM total_freq_ctrl

order by module,machine,time desc

limit 20;

结果展示：

+--------+---------------+------------+--------+---------------+

+--------+---------------+------------+--------+---------------+

| all | 10.201.20.181 | 1409640180 | 1 | 10.201.20.181 |

| all | 10.201.20.181 | 1409640120 | 2 | 10.201.20.181 |

| all | 10.201.20.181 | 1409640060 | 3 | 10.201.20.181 |

| all | 10.201.20.181 | 1409640000 | 4 | 10.201.20.181 |

| all | 10.201.20.181 | 1409639940 | 5 | 10.201.20.181 |

| all | 10.201.20.181 | 1409639880 | 6 | 10.201.20.181 |

| all | 10.201.20.97 | 1409640180 | 1 | 10.201.20.97 |

| all | 10.201.20.97 | 1409640120 | 2 | 10.201.20.97 |

| all | 10.201.20.97 | 1409640060 | 3 | 10.201.20.97 |

| all | 10.201.20.97 | 1409640000 | 4 | 10.201.20.97 |

| all | 10.201.20.97 | 1409639940 | 5 | 10.201.20.97 |

| all | 10.201.20.97 | 1409639880 | 6 | 10.201.20.97 |

| all | 10.201.20.98 | 1409640180 | 1 | 10.201.20.98 |

| all | 10.201.20.98 | 1409640120 | 2 | 10.201.20.98 |

| all | 10.201.20.98 | 1409640060 | 3 | 10.201.20.98 |

| all | 10.201.20.98 | 1409640000 | 4 | 10.201.20.98 |

| all | 10.201.20.98 | 1409639940 | 5 | 10.201.20.98 |

| all | 10.201.20.98 | 1409639880 | 6 | 10.201.20.98 |

+--------+---------------+------------+--------+---------------+

注：1、Mysql中添加 rownum功能，主要是group by变量改变，设置order by 排序进行rownum增加。再根据子查询，join，having 等条件进行对rownum筛选。

2、若只是取出前几条而不添加rownum字段值，可以直接进行内连接表，count内表值order by外表值的条数来进行控制选出的rownum。

3、若只是简单的排除数据可以利用exists,not exists,join ,in条件等。

注：这个用了几次发现应该注意的问题：

1、为什么没有分类排序？排序总是1等

可能是排序的group by变量没有设置正确，没有初始赋值set @mid=''语句，变量设置在判断条件之前进行了赋值操作，即@mid:=machine一定要在case when之后。

2、为什么排序的结果不是安装分组的顺序，总是1或者随机的等？

可能在排序的结果集中，你只是添加了order by的排序字段，但是没有将group by变量添加到order by里面。其中我想mysql是不断的对@mid:=machine的赋值来进行排序，那么一定要让数据先按照分组并排序好的状态下才能添加正确的id。如果没有对分组字段排序，就等于检索的结果是不确定的。

-----------------------------转载2---------------------------------------------------------------------

由于MYSQL没有提供类似ORACLE中OVER()这样丰富的分析函数. 所以在MYSQL里需要实现这样的功能,我们只能用一些灵活的办法:
1.首先我们来创建实例数据:
drop table if exists heyf_t10;
create table heyf_t10 (empid int ,deptid int ,salary decimal(10,2) );
insert into heyf_t10 values
(1,10,5500.00),
(2,10,4500.00),
(3,20,1900.00),
(4,20,4800.00),
(5,40,6500.00),
(6,40,14500.00),
(7,40,44500.00),
(8,50,6500.00),
(9,50,7500.00);
2. 确定需求: 根据部门来分组,显示各员工在部门里按薪水排名名次.
显示结果预期如下:
+-------+--------+----------+------+
| empid | deptid | salary | rank |
+-------+--------+----------+------+
| 1 | 10 | 5500.00 | 1 |
| 2 | 10 | 4500.00 | 2 |
| 4 | 20 | 4800.00 | 1 |
| 3 | 20 | 1900.00 | 2 |
| 7 | 40 | 44500.00 | 1 |
| 6 | 40 | 14500.00 | 2 |
| 5 | 40 | 6500.00 | 3 |
| 9 | 50 | 7500.00 | 1 |
| 8 | 50 | 6500.00 | 2 |
+-------+--------+----------+------+
3. SQL 实现
select empid,deptid,salary,rank from (
select heyf_tmp.empid,heyf_tmp.deptid,heyf_tmp.salary,@rownum:=@rownum+1 ,
if(@pdept=heyf_tmp.deptid,@rank:=@rank+1,@rank:=1) as rank,
@pdept:=heyf_tmp.deptid
from (
select empid,deptid,salary from heyf_t10 order by deptid asc ,salary desc
) heyf_tmp ,(select @rownum :=0 , @pdept := null ,@rank:=0) a ) result
;
4. 结果演示
mysql> select empid,deptid,salary,rank from (
-> select heyf_tmp.empid,heyf_tmp.deptid,heyf_tmp.salary,@rownum:=@rownum+1 ,
-> if(@pdept=heyf_tmp.deptid,@rank:=@rank+1,@rank:=1) as rank,
-> @pdept:=heyf_tmp.deptid
-> from (
-> select empid,deptid,salary from heyf_t10 order by deptid asc ,salary desc
-> ) heyf_tmp ,(select @rownum :=0 , @pdept := null ,@rank:=0) a ) result
-> ;
+-------+--------+----------+------+
| empid | deptid | salary | rank |
+-------+--------+----------+------+
| 1 | 10 | 5500.00 | 1 |
| 2 | 10 | 4500.00 | 2 |
| 4 | 20 | 4800.00 | 1 |
| 3 | 20 | 1900.00 | 2 |
| 7 | 40 | 44500.00 | 1 |
| 6 | 40 | 14500.00 | 2 |
| 5 | 40 | 6500.00 | 3 |
| 9 | 50 | 7500.00 | 1 |
| 8 | 50 | 6500.00 | 2 |
+-------+--------+----------+------+
9 rows in set (0.00 sec)
MySql中取出每个分组中的前N条记录
select a1.* from article a1
inner join
(select a.type,a.date from article a left join article b
on a.type=b.type and a.date<=b.date
group by a.type,a.date
having count(b.date)<=2
)b1
on a1.type=b1.type and a1.date=b1.date
order by a1.type,a1.date desc

------------------------------------------------转载3---------------------------------------------------------------------

这个表，数据如下：

需求要查询出每种category里面，num第二大的那条记录。比如应该返回：

+----+----------+-----+
| id | category | num |
+----+----------+-----+
| 3 | a | 3 |
| 6 | b | 1 |
| 7 | c | 0 |
+----+----------+-----+

由于mysql数据库比较弱，没有oracle里面的类似row_NUMBER orer()这样的高级分析函数。所以要实现这样的效果还是比较麻烦。

并且效率很差劲。不过还是可以实现的。下面来看看：

C:\>mysql -P3306
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 13
Server version: 5.7.11-log MySQL Community Server (GPL)

Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.

Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.

Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.

mysql> use test
Database changed
mysql> DROP TABLE IF EXISTS t1;
Query OK, 0 rows affected (0.37 sec)

mysql> CREATE TABLE t1 (
-> id INT AUTO_INCREMENT NOT NULL PRIMARY KEY,
-> category CHAR(1) NOT NULL,
-> num INT NOT NULL DEFAULT 0
-> ) ;
Query OK, 0 rows affected (0.40 sec)

mysql> desc t1;
+----------+---------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------+---------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| category | char(1) | NO | | NULL | |
| num | int(11) | NO | | 0 | |
+----------+---------+------+-----+---------+----------------+
3 rows in set (0.00 sec)

mysql> INSERT INTO t1 (category, num)
-> VALUES
-> ('a', 1),
-> ('a', 2),
-> ('a', 3),
-> ('a', 4),
-> ('b', 5),
-> ('b', 1),
-> ('c', 0),
-> ('c', 9),
-> ('d', 0) ;
Query OK, 9 rows affected (0.16 sec)
Records: 9 Duplicates: 0 Warnings: 0

mysql> SELECT * FROM t1;
+----+----------+-----+
| id | category | num |
+----+----------+-----+
| 1 | a | 1 |
| 2 | a | 2 |
| 3 | a | 3 |
| 4 | a | 4 |
| 5 | b | 5 |
| 6 | b | 1 |
| 7 | c | 0 |
| 8 | c | 9 |
| 9 | d | 0 |
+----+----------+-----+
9 rows in set (0.00 sec)

mysql>

测试数据有了，怎么返回我们要的效果呢？

mysql> SELECT * FROM t1;
+----+----------+-----+
| id | category | num |
+----+----------+-----+
| 1 | a | 1 |
| 2 | a | 2 |
| 3 | a | 3 |
| 4 | a | 4 |
| 5 | b | 5 |
| 6 | b | 1 |
| 7 | c | 0 |
| 8 | c | 9 |
| 9 | d | 0 |
+----+----------+-----+
9 rows in set (0.00 sec)

mysql> SELECT
-> t1.`id`,
-> t1.`category`,
-> t1.`num`,
-> (SELECT
-> COUNT(*)
-> FROM
-> t1 inner_t1
-> WHERE inner_t1.category = t1.`category`
-> AND inner_t1.num >= t1.`num`) AS ct
-> FROM
-> t1;
+----+----------+-----+------+
| id | category | num | ct |
+----+----------+-----+------+
| 1 | a | 1 | 4 |
| 2 | a | 2 | 3 |
| 3 | a | 3 | 2 |
| 4 | a | 4 | 1 |
| 5 | b | 5 | 1 |
| 6 | b | 1 | 2 |
| 7 | c | 0 | 2 |
| 8 | c | 9 | 1 |
| 9 | d | 0 | 1 |
+----+----------+-----+------+
9 rows in set (0.00 sec)

这个效率不行，对于每条记录都回去描述一次原表。再提取出ct=2的记录即可：
mysql> SELECT
-> ttmp_1.id,
-> ttmp_1.category,
-> ttmp_1.num
-> FROM
-> (SELECT
-> t1.`id`,
-> t1.`category`,
-> t1.`num`,
-> (SELECT
-> COUNT(*)
-> FROM
-> t1 inner_t1
-> WHERE inner_t1.category = t1.`category`
-> AND inner_t1.num >= t1.`num`) AS ct
-> FROM
-> t1) AS ttmp_1
-> WHERE ttmp_1.ct = 2
-> ORDER BY ttmp_1.category ASC
-> ;
+----+----------+-----+
| id | category | num |
+----+----------+-----+
| 3 | a | 3 |
| 6 | b | 1 |
| 7 | c | 0 |
+----+----------+-----+
3 rows in set (0.00 sec)

mysql>

完成。

-------------------------------------------------------转载4---------------------------------------------------------------

XSD以前写过HIVE脚本，记得有个 PARTITION BY语句通过ROW_NUMBER() over (PARTITION BY xx ORDER BY ** DESC) as row_number 可以根据xx字段分组，在分组内根据**字段排序，然后赋予每一行数据一个行编号，通过 row_number = 1 就可以获得分组内的第一行的数字了。可是现在使用的是mysql，没有PARTITION BY语句怎么办呢？最后在HM的帮助下XSD终于实现了。

首先列几个简单的字段
action_history表

id	job_id	start_time	status
1	1	2017-12-08 00:00:00	failed
2	2	2017-12-08 01:00:00	success
3	3	2017-12-08 02:00:00	running
4	1	2017-12-08 00:30:00	success
5	2	2017-12-08 01:30:00	running
6	3	2017-12-08 02:30:00	failed

首先我们可以首先根据job_id 排序然后根据start_time进行二级排序

 select * from action_history where left(start_time,10) = CURDATE() order by job_id asc ,start_time desc

运行结果如下：
Oracle 分析函数row_number() over (partition by order by ) 的 Mysql的替代方法

在下一步之前首先熟悉一下GROUP_CONCAT，这条语句会返回一个字符串，这个字符串由分组中的值连接组合而成。比如

select GROUP_CONCAT(status order by start_time desc )str from action_history

结果为
Oracle 分析函数row_number() over (partition by order by ) 的 Mysql的替代方法
然后在这条sql的基础上就可以使用
SUBSTRING_INDEX( GROUP_CONCAT(status order by start_time desc),',',1)
就能得到最新的状态了
完整语句为:


select job_id,SUBSTRING_INDEX( GROUP_CONCAT(status order by start_time desc),',',1) status from ( select job_id,status,start_time from action_history where left(start_time,10) = CURDATE() order by job_id asc ,start_time desc )b GROUP BY job_id

这样就能得到所有的任务的最新的状态

job_id	status
1	success
2	running
3	failed

如果想得到success，failed或者running的任务在这个最后这个基础上where条件进行status筛选就好啦~
XSD就这样在HM的帮助下完成了任务~

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Oracle 分析函数row_number() over (partition by order by ) 的 Mysql的替代方法

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