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mysql存储过程 返回 list结果集方式

作者:你好龙卷风!!!

这篇文章主要介绍了mysql存储过程 返回 list结果集方式,具有很好的参考价值,希望对大家有所帮助。如有错误或未考虑完全的地方,望不吝赐教

mysql存储过程 返回 list结果集

思路

直接链接多个表返回结果集即可,先写成普通的sql调整好,不要输入参数,再写成存储过程,

不要用游标,否则会把你慢哭的

 
BEGIN
	DECLARE In_StartTime  VARCHAR(64);
	DECLARE In_StopTime   VARCHAR(64);
	DECLARE IN_User_id    VARCHAR(64);
	DECLARE IN_work_no    VARCHAR(20);
	DECLARE IN_Office_id  VARCHAR(64);
	DECLARE IN_Cus_source VARCHAR(100);
 
 
if in_begindate is NULL or in_begindate ='' THEN
	#set In_StartTime = timestamp(date_add(curdate(), interval - day(curdate()) + 1 day));##默认查询开始时间为当月1日
set In_StartTime = DATE_FORMAT( DATE_SUB(CURDATE(), INTERVAL 1 DAY), '%Y-%m-%d 00:00:00');##默认查询开始时间为昨天开始
ELSE
	SET In_StartTime = in_begindate;
END IF;
 
if in_enddate is NULL or in_enddate ='' THEN
	set In_StopTime = DATE_FORMAT( DATE_SUB(CURDATE(), INTERVAL 1 DAY), '%Y-%m-%d 23:59:59');##默认查询结束时间为昨天时间
ELSE
	SET In_StopTime = in_enddate;
END IF;
 
 
 
SET IN_User_id = in_userid;
SET IN_work_no =in_user_work_no;
SET IN_Office_id = in_offid;
SET IN_Cus_source = in_custsouce;
 
 
	select DTA.*,
(case when DTB.callcount is  NULL then 0 ELSE DTB.callcount  END) as all_call_num,	##总呼出量
(case when DTB.calllens is  NULL then 0 ELSE
	concat(concat(DTB.calllens div 3600,'时'),concat(DTB.calllens mod 3600 div 60,'分'),concat(DTB.calllens mod 3600 mod 60 mod 60,'秒'))
 END) as all_call_time,		##总呼出时长
 
(case when DTB.effcount is  NULL then 0 ELSE DTB.effcount END) as eff_call_num,			##有效呼出量
(case when DTB.effcountlens is  NULL then 0 ELSE 
	concat(concat(DTB.effcountlens div 3600,'时'),concat(DTB.effcountlens mod 3600 div 60,'分'),concat(DTB.effcountlens mod 3600 mod 60 mod 60,'秒'))
END) as eff_call_time,## 有效呼出时长
 
(case when DTC.exchange_num is  NULL then 0 ELSE DTC.exchange_num END) as exchange_num,## 交流次数
(case when DTD.summary_num is  NULL then 0 ELSE DTD.summary_num END) as summary_num, ## 总结次数 
(case when DTE.WorkCount is  NULL then 0 ELSE DTE.WorkCount END) as worksheet_num, ## 总机会点数
(case when DTE.WorkQDCount is  NULL then 0 ELSE DTE.WorkQDCount END) as sign_worksheet_num,##签单机会点数
 
 
(CASE WHEN DTE.WorkQDCount = 0 	then 0
			WHEN DTE.WorkCount   = 0 	then 0
			when   DTE.WorkCount  is NULL  then 0
			when  DTE.WorkQDCount is NULL  then 0
 
 ELSE  concat((ROUND( (IFNULL(DTE.WorkQDCount,0)/DTE.WorkCount),2)  *100 ),'%')
 END ) as WorkRate, ## 成功率
 
(case when DTE.WorkSum  is  NULL then 0 ELSE DTE.WorkSum  END) as sales_volume ##成交总金额
 
FROM
(
 
 
## 公司相关信息和人员账号
SELECT TTA.office_id,TTA.company,user_id,work_no,user_name from 
(SELECT id as office_id, name as company FROM sys_office WHERE del_flag=0) TTA
LEFT OUTER JOIN 
(SELECT id as user_id ,work_no, name as user_name,office_id from sys_user where del_flag=0 and   
	(is_disabled ='1'  or is_disabled='' or ISNULL(is_disabled) )
) TTB
ON ( TTA.office_id =TTB.office_id) WHERE 
		( TTB.user_id=IN_User_id or  IN_User_id is null  or IN_User_id = '') 
and ( TTB.work_no=IN_work_no or  IN_work_no is null  or IN_work_no = '') 
 
and  ( TTB.office_id=IN_Office_id or  IN_Office_id is null  or IN_Office_id = '')
) DTA 
LEFT OUTER JOIN 
 
 
(##通话相关次数及时长,有效通话次数及时长
SELECT TA.agent_id ,
SUM(callcount) as callcount,
SUM(calllens) as calllens,
SUM(effcount) as effcount,
SUM(effcountlens) as effcountlens
 from 
(select agent_id,
		 (case when (agent_id is NOT NULL or times  is NOT NULL)  then 1 ELSE 0 END) as callcount,
		(case when (agent_id is NOT NULL  or times  is NOT NULL )then times else 0 end) as calllens,
		(case when  times >=30 then 1 else 0 end) as effcount,
		(case when  times >=30 then times else 0 end) as effcountlens
 
 
 from  crm_hw_call where call_begintime >=In_StartTime  and STR_TO_DATE(call_begintime,'%Y-%m-%d %H:%i:%s')<=In_StopTime
 
) TA GROUP BY TA.agent_id
 
 
 
 
) DTB on (DTA.work_no=DTB.agent_id)
LEFT OUTER JOIN 
(## 交流次数
SELECT TC.create_by,IFNULL(SUM(exchange_num),0) as exchange_num
FROM
(
 
SELECT wk.create_by, wk.user_type,
 (	CASE WHEN ex.create_by is not NULL then 1 else 0 end) as  exchange_num 
 from crm_worksheet wk  LEFT OUTER JOIN  crm_wkst_exchange_record ex on wk.worksheet_no=ex.worksheet_no
	where  ex.create_by is not NULL and ex.del_flag=0 and wk.del_flag=0
	and ( wk.user_type ='sys_basic_hua_wei' or  'sys_basic_hua_wei' is null  or 'sys_basic_hua_wei' = '')
	and ex.create_date >=In_StartTime  and ex.create_date<=In_StopTime
 ) TC
			GROUP BY TC.create_by
		) DTC on (DTA.user_id = DTC.create_by)
LEFT OUTER JOIN
 
 
(## 总结次数
SELECT TD.create_by,SUM(TD.summary_num) as summary_num
FROM
(SELECT create_by, 
(CASE WHEN create_by is not NULL then 1 else 0 end) as summary_num 
FROM crm_day_report  where del_flag=0 
	and create_date >=In_StartTime  and create_date<=In_StopTime
) TD GROUP BY TD.create_by
) DTD on (DTA.user_id = DTD.create_by)
LEFT OUTER JOIN
 
 
 
## 签单次数,工单总数,签单总额
(SELECT 
	TE.create_by,
	SUM(WorkCount) AS WorkCount,
	SUM(WorkQDCount) AS WorkQDCount,
	SUM(WorkSum) AS WorkSum
FROM
(SELECT create_by,
(CASE WHEN create_by is not null THEN 1 else 0 end ) as WorkCount,
(CASE WHEN create_by is not null and important_degree='sys_basic_qian_shu_he_tong' THEN 1 else 0 end ) as WorkQDCount,
(CASE WHEN create_by is not null and important_degree='sys_basic_qian_shu_he_tong' THEN IFNULL(solution,0) else 0 end ) as WorkSum
 from crm_worksheet where del_flag=0  
	and ( user_type =IN_Cus_source or  IN_Cus_source is null  or IN_Cus_source = '')
	and create_date >=In_StartTime  and create_date<=In_StopTime
 
) TE  GROUP BY TE.create_by
) DTE ON (DTA.user_id = DTE.create_by);
  SELECT  IN_work_no,in_user_work_no;
 
END
##输入参数
in_begindate varchar(64),in_enddate varchar(64),in_userid varchar(64),in_offid varchar(64), in_custsouce  varchar(100),in_user_work_no varchar(20)
 

mysql存储过程和存储函数练习

存储过程和存储函数语法

create procedure p1(存储名)(in suppiler_num varchar(10))
begin 
   		declare results int default 0;  #声明变量并初始化
   		select count(*) into results    #赋值
   		from factory.suppiler
    	where factory.suppiler.suppiler_num=suppiler_num;
   	    select if (results>0,'成功','失败' );  #使用
end
(参数列表: 模式  参数名  参数类型)
     模式 in(默认)、out、 inout:in 模式;out 模式;inout 模式
drop procedure p1 (并且只能一次删除一个存储过程)

不能直接修改存储过程,只能先删除该过程,在重新创建该过程

call p1('s1')

注意:因为是in 模式所有可以传入常量,如果是inout模式

不可以传入常量,而必须是变量。 

  show create procedure p1

存储函数

如果是第一次在mysql上创建存储函数,可能会发生SQL错误[1418][HY000]:

This function has none of DETERMINISTIC ,NO SQL,or READS SQL DATA in its declaration and binary logging is enabled(you “might” want to use the less safe_log_bin_trust_function_creators variable)。

此时的mysql 服务器开启了二进制日志选项,这种模式是默认禁止创建存储函数的。

使用下列命令选择开启就可以了。

create function 函数名(参数列表) returns 返回类型
begin
   	函数体
   	
end
1、参数列表 (参数名 参数类型)
2、 函数体肯定有return 语句
select 函数名(参数列表)

案例演示

有一简易电子商务网站,其平台数据库中部分表及其结构如下:

(1)用户表:tUser(用户账号varchar(10),用户名称varchar(50),登陆密码varchar(20),联系电话varchar(20),邮件地址varchar(100),已购商品总额numeric(10,2),送货地址varchar(100))

(2)用户登录历史记录表:tUserHisRec(登录序号int identity(1,1),用户账号varchar(10),登录时间datetime)

(3)商品列表:productsList(商品编号varchar(20),商品名称varchar(100),商品类别varchar(100),商品价格numeric(10,2),出厂日期datetiem,生产商varchar(200))

(4)用户购买商品记录:tUserOrder(登陆序号int identity(1,1),用户账号varchar(10),商品编号varchar(20),购买时间datetime,送货地址varchar(100))

-- 用户表:
Create table  tUser  
(      /*用户账号*/ tuser_num varchar(10), 
     /* 用户名称 */tuser_name  varchar(50),
      /*登陆密码 */ tuser_password  varchar(20),
     /* 联系电话 */ tuser_tel  varchar(20),
     /* 邮箱地址 */tuser_maill  varchar(100),
      /*已购商品总额 */ tuser_sum_expence  numeric(10,2),
      /*送货地址 */ tuser_addr   varchar(100)
)
--用户登录历史记录表:
Create table tUserHisRec (
        /*登录序号*/ tuserhisrec_row int auto_increment,
        /*用户账号*/tuserhisrec_num varchar(10),
        /*登录时间*/tuserhisrec_time datetime,
         primary key (tuserhisrec_row) #自增必须要设键
)
--商品列表:
Create table productsList(
        /*商品编号*/ productsList_num varchar(20),
        /*商品名称*/ productsList_name  varchar(100),
        /*商品类别 */productsList_kind varchar(100),
        /*商品价格 */productsList_price numeric(10,2),
        /*出厂日期 */productsList_date datetime, 
        /*生产商 */productsList_suppiler varchar(200)
)
--用户购买商品记录:
Create table tUserOrder(
   	/*登陆序号*/ tuserorder_row int auto_increment,
   	/*用户账号 */tuser_num varchar(10),
   	/*商品编号 */productsList_num varchar(20),
   	/*购买时间 */tuserorder_time datetime,
   	/*送货地址 */tuser_addr varchar(100),
   	primary key (tuserorder_row)
)

1 创建商品检索存储过程procBrowProduct (关联子查询)

要求:输入商品名称或商品类别(要求模糊查询),输出商品编号,商品名称,商品价格,出厂日期,生产商,已购用户数量,最近一次购买用户姓名,最近一次购买时间

create procedure t2(in products_name varchar(100),in products_kind varchar(100))
begin
   select *,(select count(distinct tuser_num) from tUserOrder
    where `productsList_num`=a.productsList_num) as '已购用户数量',
   (select tuser_num  from factory.tuserorder 
   where tuserorder_time=(select max(tuserorder_time) 
   from factory.tuserorder 
   where `productsList_num`=a.productsList_num
    group by a.productsList_num)) as '最近一次购买的用户',
   (select max(tuserorder_time) from factory.tuserorder 
   where `productsList_num`=a.productsList_num
    group by a.productsList_num)as '最近一次购买的时间' 
   from factory.productslist  a where `productsList_num` in 
   (select productsList_num  from factory.productslist 
   where `productsList_name` like concat('%',products_name,'%')
   and `productsList_kind` like concat('%',products_kind,'%'));
end

分析:

输入的商品名称和商品类别是为了找到对应商品编号,有了商品编号就可以输出一系列信息,对应已购用户数量和最近一次购买用户姓名,和最近一次购买时间,分别使用三个子查询,而子查询与外层查询联系就是a.productsListnum作为限制条件,及关联子查询

关联子查询

给出一个简单例子引出关联子查询:查询低于相同职位平均工资的员工信息

table staff(staff_num,staff_depart,staff_salary)

		select staff_num from staff a where staff_salary<(
		select avg(staff_salary from staff 
		where staff_depart=a.staff_deapart)

staff

查询首先会从最外层select * from staff

在将每一行结果传递给子查询,传入第一行结果就是select staff_num from staff where staff_salary<(select avg(staff_salary from staff where staff_depart=‘经理’)),然后子查询的结果又返回给外层查询select staff_num from staff where staff_salary<9666。逐行逐行,直到结束。 

关联子查询,外层与内层查询是信息是双向传递的。

2 创建商品检索存储过程t1

要求:输入商品名称或商品类别(要求模糊查询),输出商品编号,商品名称,商品价格,出厂日期,生产商,已购用户数量,最近一次购买用户姓名,最近一次购买时间

create procedure t1(in use_num varcharacter(10),in product_num varcharacter(20))
begin
   declare tuser_addr1 varchar(100) ; 
   declare productsList_price1 numeric(10,2);
   select  tuser_addr into tuser_addr1
   from tUser 
   where tUser.tuser_num=use_num;
   select productsList_price into productsList_price1
   from factory.productsList
   where productsList_num=product_num;
   update tUser
  set tuser_sum_expence=tuser_sum_expence+productsList_price1 
   where tuser_num=use_num;
   insert into factory.tuserOrde(tuser_num,productsList_num,tuserorder_time,tuser_addr)
  values(use_num,product_num,now(),tuser_addr1);
end

这个比较简单。

3 创建用户自定义函数:varchar fGetUserMaxProduct(用户账号)(在查询结果子表中在进行查询)

要求:输入用户账号,返回该用户购买最多的商品编号。

create function t3(user_num varchar(10)) returns varchar(20) 
begin
   declare products_num varchar(20);
   select `productsList_num` into products_num from  
   (select count(`productsList_num`)as c1,`productsList_num` 
    from factory.tuserorder   where tuser_num=user_num
    group by `productsList_num`)as t1  having max(c1);
   return products_num;
end

分析:

将查询结果设成别名为t1 的表,再重t1的表中,在继续查询。

查询结果子表中,再查询

例如:

select a from (select a,b,c from table1 where…)as t1

从t1结果表中查询a

以上为个人经验,希望能给大家一个参考,也希望大家多多支持脚本之家。

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