目录
- mysql存储过程 返回 list结果集
- 思路
- mysql存储过程和存储函数练习
- 存储过程和存储函数语法
- 存储函数
- 案例演示
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
- 创建存储过程
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
- 删除存储过程
drop procedure p1 (并且只能一次删除一个存储过程)
- 更改存储过程
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
- 调用存储过程
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。
- 查看存储过程
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。
- 创建存储函数
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
- 调用存储函数
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)
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自由互联。