加快重复MySQL查询的速度_Mysql_Sql

加快重复MySQL查询的速度

mysql sql

加快重复MySQL查询的速度,mysql,sql,Mysql,Sql,改进、简化和加速sql中这些部分的最佳方法是什么 -- do pivoting drop temporary table if exists inverted; create temporary table inverted as select cast(s.name as char(30)) as name, s.ename, max(if(s.ts='00:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '0

改进、简化和加速sql中这些部分的最佳方法是什么

  -- do pivoting
drop temporary table if exists inverted;
create temporary table inverted as 
 select cast(s.name as char(30)) as name,
     s.ename,
     max(if(s.ts='00:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '0:30_it1',
     max(if(s.ts='00:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '0:30_it2',
     '#ffffff' as '0:30_color',
     max(if(s.ts='01:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '1:30_it1',
     max(if(s.ts='01:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '1:30_it2',
      '#ffffff' as '1:30_color', 
     max(if(s.ts='02:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '2:30_it1',
     max(if(s.ts='02:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '2:30_it2', 
     '#ffffff' as '2:30_color',
     max(if(s.ts='03:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '3:30_it1',
     max(if(s.ts='03:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '3:30_it2', 
     '#ffffff' as '3:30_color',
     max(if(s.ts='04:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '4:30_it1',
     max(if(s.ts='04:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '4:30_it2', 
     '#ffffff' as '4:30_color',
     max(if(s.ts='05:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '5:30_it1',
     max(if(s.ts='05:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '5:30_it2', 
     '#ffffff' as '5:30_color',
     max(if(s.ts='06:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '6:30_it1',
     max(if(s.ts='06:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '6:30_it2',
      '#ffffff' as '6:30_color', 
     max(if(s.ts='07:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '7:30_it1',
     max(if(s.ts='07:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '7:30_it2', 
     '#ffffff' as '7:30_color',
     max(if(s.ts='08:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '8:30_it1',
     max(if(s.ts='08:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '8:30_it2',
      '#ffffff' as '8:30_color', 
     max(if(s.ts='09:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '9:30_it1',
     max(if(s.ts='09:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '9:30_it2',
      '#ffffff' as '9:30_color', 
     max(if(s.ts='10:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '10:30_it1',
     max(if(s.ts='10:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '10:30_it2',
      '#ffffff' as '10:30_color', 
     max(if(s.ts='11:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '11:30_it1',
     max(if(s.ts='11:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '11:30_it2', 
     '#ffffff' as '11:30_color',
     max(if(s.ts='12:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '12:30_it1',
     max(if(s.ts='12:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '12:30_it2',
     '#ffffff' as '12:30_color',
     max(if(s.ts='13:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '13:30_it1',
     max(if(s.ts='13:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '13:30_it2',
     '#ffffff' as '13:30_color',
     max(if(s.ts='14:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '14:30_it1',
     max(if(s.ts='14:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '14:30_it2', 
     '#ffffff' as '14:30_color',
     max(if(s.ts='15:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '15:30_it1',
     max(if(s.ts='15:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '15:30_it2',
     '#ffffff' as '15:30_color',
     max(if(s.ts='16:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '16:30_it1',
     max(if(s.ts='16:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '16:30_it2',
     '#ffffff' as '16:30_color',
     max(if(s.ts='17:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '17:30_it1',
     max(if(s.ts='17:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '17:30_it2', 
     '#ffffff' as '17:30_color',
     max(if(s.ts='18:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '18:30_it1',
     max(if(s.ts='18:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '18:30_it2',
     '#ffffff' as '18:30_color',
     max(if(s.ts='19:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '19:30_it1',
     max(if(s.ts='19:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '19:30_it2',
     '#ffffff' as '19:30_color',
     max(if(s.ts='20:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '20:30_it1',
     max(if(s.ts='20:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '20:30_it2', 
     '#ffffff' as '20:30_color',
     max(if(s.ts='21:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '21:30_it1',
     max(if(s.ts='21:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '21:30_it2',
     '#ffffff' as '21:30_color',
     max(if(s.ts='22:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '22:30_it1',
     max(if(s.ts='22:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '22:30_it2',
      '#ffffff' as '22:30_color', 
     max(if(s.ts='23:30:00', cast(s.value_t1 as decimal(9,2)), null)) as '23:30_it1',
     max(if(s.ts='23:30:00', cast(s.value_t2 as decimal(9,2)), null)) as '23:30_it2',
     '#ffffff' as '23:30_color',
     cast(null as time) as hour,
     cast(null as decimal(9,2)) as value,
     cast(null as char(17))  as series,
     table_chart
 from splitted_table s
 group by s.table_chart, s.name, s.ename;

 UPDATE inverted SET `0:30_color` = fn_rep_get_color_for_field(`0:30_it1`, `0:30_it2`, p_min, p_max), `1:30_color` = fn_rep_get_color_for_field(`1:30_it1`, `1:30_it2`, p_min, p_max),
                     `2:30_color` = fn_rep_get_color_for_field(`2:30_it1`, `2:30_it2`, p_min, p_max), `3:30_color` = fn_rep_get_color_for_field(`3:30_it1`, `3:30_it2`, p_min, p_max),
                            `4:30_color` = fn_rep_get_color_for_field(`4:30_it1`, `4:30_it2`, p_min, p_max), `5:30_color` = fn_rep_get_color_for_field(`5:30_it1`, `5:30_it2`, p_min, p_max),
                            `6:30_color` = fn_rep_get_color_for_field(`6:30_it1`, `6:30_it2`, p_min, p_max), `7:30_color` = fn_rep_get_color_for_field(`7:30_it1`, `7:30_it2`, p_min, p_max),
                            `8:30_color` = fn_rep_get_color_for_field(`8:30_it1`, `8:30_it2`, p_min, p_max), `9:30_color` = fn_rep_get_color_for_field(`9:30_it1`, `9:30_it2`, p_min, p_max),
                            `10:30_color` = fn_rep_get_color_for_field(`10:30_it1`, `10:30_it2`, p_min, p_max), `11:30_color` = fn_rep_get_color_for_field(`11:30_it1`, `11:30_it2`, p_min, p_max),
                            `12:30_color` = fn_rep_get_color_for_field(`12:30_it1`, `12:30_it2`, p_min, p_max), `13:30_color` = fn_rep_get_color_for_field(`13:30_it1`, `13:30_it2`, p_min, p_max),
                            `14:30_color` = fn_rep_get_color_for_field(`14:30_it1`, `14:30_it2`, p_min, p_max), `15:30_color` = fn_rep_get_color_for_field(`15:30_it1`, `15:30_it2`, p_min, p_max),
                            `16:30_color` = fn_rep_get_color_for_field(`16:30_it1`, `16:30_it2`, p_min, p_max), `17:30_color` = fn_rep_get_color_for_field(`17:30_it1`, `17:30_it2`, p_min, p_max),
                            `18:30_color` = fn_rep_get_color_for_field(`18:30_it1`, `18:30_it2`, p_min, p_max), `19:30_color` = fn_rep_get_color_for_field(`19:30_it1`, `19:30_it2`, p_min, p_max),
                            `20:30_color` = fn_rep_get_color_for_field(`20:30_it1`, `20:30_it2`, p_min, p_max), `21:30_color` = fn_rep_get_color_for_field(`21:30_it1`, `21:30_it2`, p_min, p_max),
                            `22:30_color` = fn_rep_get_color_for_field(`22:30_it1`, `22:30_it2`, p_min, p_max), `23:30_color` = fn_rep_get_color_for_field(`23:30_it1`, `23:30_it2`, p_min, p_max) 
                            where SUBSTRING(table_chart, 2, 1) = 'p';

 UPDATE inverted SET `0:30_color` = fn_rep_get_color_for_field(`0:30_it1`, `0:30_it2`, q_min, q_max), `1:30_color` = fn_rep_get_color_for_field(`1:30_it1`, `1:30_it2`, q_min, q_max),
                     `2:30_color` = fn_rep_get_color_for_field(`2:30_it1`, `2:30_it2`, q_min, q_max), `3:30_color` = fn_rep_get_color_for_field(`3:30_it1`, `3:30_it2`, q_min, q_max),
                            `4:30_color` = fn_rep_get_color_for_field(`4:30_it1`, `4:30_it2`, q_min, q_max), `5:30_color` = fn_rep_get_color_for_field(`5:30_it1`, `5:30_it2`, q_min, q_max),
                            `6:30_color` = fn_rep_get_color_for_field(`6:30_it1`, `6:30_it2`, q_min, q_max), `7:30_color` = fn_rep_get_color_for_field(`7:30_it1`, `7:30_it2`, q_min, q_max),
                            `8:30_color` = fn_rep_get_color_for_field(`8:30_it1`, `8:30_it2`, q_min, q_max), `9:30_color` = fn_rep_get_color_for_field(`9:30_it1`, `9:30_it2`, q_min, q_max),
                            `10:30_color` = fn_rep_get_color_for_field(`10:30_it1`, `10:30_it2`, q_min, q_max), `11:30_color` = fn_rep_get_color_for_field(`11:30_it1`, `11:30_it2`, q_min, q_max),
                            `12:30_color` = fn_rep_get_color_for_field(`12:30_it1`, `12:30_it2`, q_min, q_max), `13:30_color` = fn_rep_get_color_for_field(`13:30_it1`, `13:30_it2`, q_min, q_max),
                            `14:30_color` = fn_rep_get_color_for_field(`14:30_it1`, `14:30_it2`, q_min, q_max), `15:30_color` = fn_rep_get_color_for_field(`15:30_it1`, `15:30_it2`, q_min, q_max),
                            `16:30_color` = fn_rep_get_color_for_field(`16:30_it1`, `16:30_it2`, q_min, q_max), `17:30_color` = fn_rep_get_color_for_field(`17:30_it1`, `17:30_it2`, q_min, q_max),
                            `18:30_color` = fn_rep_get_color_for_field(`18:30_it1`, `18:30_it2`, q_min, q_max), `19:30_color` = fn_rep_get_color_for_field(`19:30_it1`, `19:30_it2`, q_min, q_max),
                            `20:30_color` = fn_rep_get_color_for_field(`20:30_it1`, `20:30_it2`, q_min, q_max), `21:30_color` = fn_rep_get_color_for_field(`21:30_it1`, `21:30_it2`, q_min, q_max),
                            `22:30_color` = fn_rep_get_color_for_field(`22:30_it1`, `22:30_it2`, q_min, q_max), `23:30_color` = fn_rep_get_color_for_field(`23:30_it1`, `23:30_it2`, q_min, q_max) 
                            where SUBSTRING(table_chart, 2, 1) = 'q';

 UPDATE inverted SET `0:30_color` = fn_rep_get_color_for_field(`0:30_it1`, `0:30_it2`, u_min, u_max), `1:30_color` = fn_rep_get_color_for_field(`1:30_it1`, `1:30_it2`, u_min, u_max),
                     `2:30_color` = fn_rep_get_color_for_field(`2:30_it1`, `2:30_it2`, u_min, u_max), `3:30_color` = fn_rep_get_color_for_field(`3:30_it1`, `3:30_it2`, u_min, u_max),
                            `4:30_color` = fn_rep_get_color_for_field(`4:30_it1`, `4:30_it2`, u_min, u_max), `5:30_color` = fn_rep_get_color_for_field(`5:30_it1`, `5:30_it2`, u_min, u_max),
                            `6:30_color` = fn_rep_get_color_for_field(`6:30_it1`, `6:30_it2`, u_min, u_max), `7:30_color` = fn_rep_get_color_for_field(`7:30_it1`, `7:30_it2`, u_min, u_max),
                            `8:30_color` = fn_rep_get_color_for_field(`8:30_it1`, `8:30_it2`, u_min, u_max), `9:30_color` = fn_rep_get_color_for_field(`9:30_it1`, `9:30_it2`, u_min, u_max),
                            `10:30_color` = fn_rep_get_color_for_field(`10:30_it1`, `10:30_it2`, u_min, u_max), `11:30_color` = fn_rep_get_color_for_field(`11:30_it1`, `11:30_it2`, u_min, u_max),
                            `12:30_color` = fn_rep_get_color_for_field(`12:30_it1`, `12:30_it2`, u_min, u_max), `13:30_color` = fn_rep_get_color_for_field(`13:30_it1`, `13:30_it2`, u_min, u_max),
                            `14:30_color` = fn_rep_get_color_for_field(`14:30_it1`, `14:30_it2`, u_min, u_max), `15:30_color` = fn_rep_get_color_for_field(`15:30_it1`, `15:30_it2`, u_min, u_max),
                            `16:30_color` = fn_rep_get_color_for_field(`16:30_it1`, `16:30_it2`, u_min, u_max), `17:30_color` = fn_rep_get_color_for_field(`17:30_it1`, `17:30_it2`, u_min, u_max),
                            `18:30_color` = fn_rep_get_color_for_field(`18:30_it1`, `18:30_it2`, u_min, u_max), `19:30_color` = fn_rep_get_color_for_field(`19:30_it1`, `19:30_it2`, u_min, u_max),
                            `20:30_color` = fn_rep_get_color_for_field(`20:30_it1`, `20:30_it2`, u_min, u_max), `21:30_color` = fn_rep_get_color_for_field(`21:30_it1`, `21:30_it2`, u_min, u_max),
                            `22:30_color` = fn_rep_get_color_for_field(`22:30_it1`, `22:30_it2`, u_min, u_max), `23:30_color` = fn_rep_get_color_for_field(`23:30_it1`, `23:30_it2`, u_min, u_max) 
                            where SUBSTRING(table_chart, 2, 1) = 'u';

 DROP TEMPORARY TABLE IF EXISTS deviation;
 CREATE TEMPORARY TABLE deviation LIKE inverted;

 insert into export_data.deviation (`name`,`0:30_it1`,`1:30_it1`,`2:30_it1`,`3:30_it1`,`4:30_it1`,`5:30_it1`,`6:30_it1`,`7:30_it1`,`8:30_it1`,`9:30_it1`,`10:30_it1`,`11:30_it1`,`12:30_it1`,`13:30_it1`,`14:30_it1`,`15:30_it1`,`16:30_it1`,`17:30_it1`,`18:30_it1`,`19:30_it1`,`20:30_it1`,`21:30_it1`,`22:30_it1`,`23:30_it1`,
                                    `0:30_it2`,`1:30_it2`,`2:30_it2`,`3:30_it2`,`4:30_it2`,`5:30_it2`,`6:30_it2`,`7:30_it2`,`8:30_it2`,`9:30_it2`,`10:30_it2`,`11:30_it2`,`12:30_it2`,`13:30_it2`,`14:30_it2`,`15:30_it2`,`16:30_it2`,`17:30_it2`,`18:30_it2`,`19:30_it2`,`20:30_it2`,`21:30_it2`,`22:30_it2`,`23:30_it2`,`table_chart`) 
 SELECT
   'table footer' as name,
   SUM(abs(`0:30_it1`-`0:30_it2`)) as `0:30_it1`, 
   SUM(abs(`1:30_it1`-`1:30_it2`)) as `1:30_it1`, 
   SUM(abs(`2:30_it1`-`2:30_it2`)) as `2:30_it1`, 
   SUM(abs(`3:30_it1`-`3:30_it2`)) as `3:30_it1`, 
   SUM(abs(`4:30_it1`-`4:30_it2`)) as `4:30_it1`, 
   SUM(abs(`5:30_it1`-`5:30_it2`)) as `5:30_it1`, 
   SUM(abs(`6:30_it1`-`6:30_it2`)) as `6:30_it1`, 
   SUM(abs(`7:30_it1`-`7:30_it2`)) as `7:30_it1`, 
   SUM(abs(`8:30_it1`-`8:30_it2`)) as `8:30_it1`, 
   SUM(abs(`9:30_it1`-`9:30_it2`)) as `9:30_it1`, 
   SUM(abs(`10:30_it1`-`10:30_it2`)) as `10:30_it1`, 
   SUM(abs(`11:30_it1`-`11:30_it2`)) as `11:30_it1`, 
   SUM(abs(`12:30_it1`-`12:30_it2`)) as `12:30_it1`, 
   SUM(abs(`13:30_it1`-`13:30_it2`)) as `13:30_it1`, 
   SUM(abs(`14:30_it1`-`14:30_it2`)) as `14:30_it1`, 
   SUM(abs(`15:30_it1`-`15:30_it2`)) as `15:30_it1`, 
   SUM(abs(`16:30_it1`-`16:30_it2`)) as `16:30_it1`, 
   SUM(abs(`17:30_it1`-`17:30_it2`)) as `17:30_it1`, 
   SUM(abs(`18:30_it1`-`18:30_it2`)) as `18:30_it1`, 
   SUM(abs(`19:30_it1`-`19:30_it2`)) as `19:30_it1`, 
   SUM(abs(`20:30_it1`-`20:30_it2`)) as `20:30_it1`, 
   SUM(abs(`21:30_it1`-`21:30_it2`)) as `21:30_it1`, 
   SUM(abs(`22:30_it1`-`22:30_it2`)) as `22:30_it1`, 
   SUM(abs(`23:30_it1`-`23:30_it2`)) as `23:30_it1`, 
   MAX(abs(`0:30_it1`-`0:30_it2`)) as `0:30_it2`, 
   MAX(abs(`1:30_it1`-`1:30_it2`)) as `1:30_it2`, 
   MAX(abs(`2:30_it1`-`2:30_it2`)) as `2:30_it2`, 
   MAX(abs(`3:30_it1`-`3:30_it2`)) as `3:30_it2`, 
   MAX(abs(`4:30_it1`-`4:30_it2`)) as `4:30_it2`, 
   MAX(abs(`5:30_it1`-`5:30_it2`)) as `5:30_it2`, 
   MAX(abs(`6:30_it1`-`6:30_it2`)) as `6:30_it2`, 
   MAX(abs(`7:30_it1`-`7:30_it2`)) as `7:30_it2`, 
   MAX(abs(`8:30_it1`-`8:30_it2`)) as `8:30_it2`, 
   MAX(abs(`9:30_it1`-`9:30_it2`)) as `9:30_it2`, 
   MAX(abs(`10:30_it1`-`10:30_it2`)) as `10:30_it2`, 
   MAX(abs(`11:30_it1`-`11:30_it2`)) as `11:30_it2`, 
   MAX(abs(`12:30_it1`-`12:30_it2`)) as `12:30_it2`, 
   MAX(abs(`13:30_it1`-`13:30_it2`)) as `13:30_it2`, 
   MAX(abs(`14:30_it1`-`14:30_it2`)) as `14:30_it2`, 
   MAX(abs(`15:30_it1`-`15:30_it2`)) as `15:30_it2`, 
   MAX(abs(`16:30_it1`-`16:30_it2`)) as `16:30_it2`, 
   MAX(abs(`17:30_it1`-`17:30_it2`)) as `17:30_it2`, 
   MAX(abs(`18:30_it1`-`18:30_it2`)) as `18:30_it2`, 
   MAX(abs(`19:30_it1`-`19:30_it2`)) as `19:30_it2`, 
   MAX(abs(`20:30_it1`-`20:30_it2`)) as `20:30_it2`, 
   MAX(abs(`21:30_it1`-`21:30_it2`)) as `21:30_it2`, 
   MAX(abs(`22:30_it1`-`22:30_it2`)) as `22:30_it2`, 
   MAX(abs(`23:30_it1`-`23:30_it2`)) as `23:30_it2`,
  CONCAT('s',SUBSTRING(table_chart,2)) as table_chart
 from export_data.inverted
 group by table_chart;

目前它需要太多时间，我认为可能有比反复重复代码更简单的方法，但我不确定如何进行。

非常奇怪的查询，但看起来您正在基于半小时的增量对T1和T2值执行透视表样式的查询。我会推迟使用pivot，直到预聚合完唯一的行之后。由于您的“ts”列似乎表示一个“时间段”，并且半小时增量没有变化，因此我首先将您的第一个查询简化为

drop temporary table if exists inverted;
create temporary table inverted as 
select 
      s.table_chart,
      cast(s.name as char(30)) as name,
      s.ename,
      s.ts,
      MAX( CAST( s.value_t1 as decimal(9,2)) as t1Val,
      MAX( CAST( s.value_t2 as decimal(9,2)) as t2Val,
      '#ffffff' as tsColor
 from 
    splitted_table s
 group by 
    s.table_chart, 
    s.name, 
    s.ename,
    s.ts

现在，每个图表、名称和名称可能有24个时隙行，但已经在它们自己的行中预先聚合。您的下一次更新可以根据通用行进行简化。我删除了你的（小时、值、系列）列，因为它们直到最后一次插入才被使用，所以我将它们固定在那里

UPDATE inverted 
   SET tsColor = fn_rep_get_color_for_field( t1Val, t2Val, p_min, p_max)
   where SUBSTRING(table_chart, 2, 1) = 'p';

UPDATE inverted 
   SET tsColor = fn_rep_get_color_for_field(t1Val, t2Val, q_min, q_max)
   where SUBSTRING(table_chart, 2, 1) = 'q';

UPDATE inverted 
   SET tsColor = fn_rep_get_color_for_field( t1Val, t2Val, u_min, u_max)
   where SUBSTRING(table_chart, 2, 1) = 'u';

现在，你可以旋转了。由于您的第一个查询是group by table chart和ename，每个T1或T2值都会得到MAX（）值，因此每个时隙/表格图表/ename只有一条记录

DROP TEMPORARY TABLE IF EXISTS deviation;
CREATE TEMPORARY TABLE deviation as
select 
      'table footer' as name,
      SUM( if( i.ts='00:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '0:30_it1',
      SUM( if( i.ts='01:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '1:30_it1',
      SUM( if( i.ts='02:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '2:30_it1',
      SUM( if( i.ts='03:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '3:30_it1',
      SUM( if( i.ts='04:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '4:30_it1',
      SUM( if( i.ts='05:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '5:30_it1',
      SUM( if( i.ts='06:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '6:30_it1',
      SUM( if( i.ts='07:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '7:30_it1',
      SUM( if( i.ts='08:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '8:30_it1',
      SUM( if( i.ts='09:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '9:30_it1',
      SUM( if( i.ts='10:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '10:30_it1',
      SUM( if( i.ts='11:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '11:30_it1',
      SUM( if( i.ts='12:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '12:30_it1',
      SUM( if( i.ts='13:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '13:30_it1',
      SUM( if( i.ts='14:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '14:30_it1',
      SUM( if( i.ts='15:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '15:30_it1',
      SUM( if( i.ts='16:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '16:30_it1',
      SUM( if( i.ts='17:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '17:30_it1',
      SUM( if( i.ts='18:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '18:30_it1',
      SUM( if( i.ts='19:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '19:30_it1',
      SUM( if( i.ts='20:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '20:30_it1',
      SUM( if( i.ts='21:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '21:30_it1',
      SUM( if( i.ts='22:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '22:30_it1',
      SUM( if( i.ts='23:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '23:30_it1',
      MAX( if( i.ts='00:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '0:30_it2',
      MAX( if( i.ts='01:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '1:30_it2',
      MAX( if( i.ts='02:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '2:30_it2',
      MAX( if( i.ts='03:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '3:30_it2',
      MAX( if( i.ts='04:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '4:30_it2',
      MAX( if( i.ts='05:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '5:30_it2',
      MAX( if( i.ts='06:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '6:30_it2',
      MAX( if( i.ts='07:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '7:30_it2',
      MAX( if( i.ts='08:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '8:30_it2',
      MAX( if( i.ts='09:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '9:30_it2',
      MAX( if( i.ts='10:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '10:30_it2',
      MAX( if( i.ts='11:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '11:30_it2',
      MAX( if( i.ts='12:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '12:30_it2',
      MAX( if( i.ts='13:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '13:30_it2',
      MAX( if( i.ts='14:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '14:30_it2',
      MAX( if( i.ts='15:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '15:30_it2',
      MAX( if( i.ts='16:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '16:30_it2',
      MAX( if( i.ts='17:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '17:30_it2',
      MAX( if( i.ts='18:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '18:30_it2',
      MAX( if( i.ts='19:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '19:30_it2',
      MAX( if( i.ts='20:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '20:30_it2',
      MAX( if( i.ts='21:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '21:30_it2',
      MAX( if( i.ts='22:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '22:30_it2',
      MAX( if( i.ts='23:30:00', ABS( i.t1Val - i.t2Val ), 0 )) as '23:30_it2',
      cast(null as time) as hour,
      cast(null as decimal(9,2)) as value,
      cast(null as char(17))  as series,
      CONCAT('s',SUBSTRING(i.table_chart,2)) as table_chart
 from 
    export_data.inverted
 group by 
    table_chart;

现在，为你的颜色。由于您从不查询这些值，它们甚至不会成为您的结果集的一部分，并且可能存在基于“p”、“q”或“u”值的不同值，您希望哪一个值比其他值更精确。。。最小值，最大值，还是一个特别基于“u”的赢家？或者“p”？您必须添加IF（）或case/when，例如

您的表结构将具有基于原始pivot查询结构的列，并创建类似的条件，但由于您从未插入到这些列，因此它们将始终为空。因此，请为额外的for hours、value和series列添加一个值

MAX( if( i.ts='00:30:00', 
         case when SUBSTR( i.table_chart, 2, 1 ) = 'p' then i.tsColor
              when SUBSTR( i.table_chart, 2, 1 ) = 'q' then i.tsColor
              ELSE i.tsColor end,
         null )) as '0:30:00_Color',
etc for rest of colors.

希望这能帮助您从另一个角度看到可能的解决方案。

所以您没有任何表示层？这只是正在运行的大型MySQL脚本的一部分，然后将报表导出到excel表。为什么您需要进行大量转换？避免这样做会节省一些时间。除了所有的演员外，还有一些事情。你的功能是什么？fn_rep_get_color_用于_字段。有问题的列的数据类型是什么。如果已经基于数字/十进制，为什么要强制转换。图表最终应该代表什么，而不仅仅是帮助我加快速度。了解所做工作的上下文可能会让您更容易地表示数据。