Show the actual work case of creating intermediate data table with SQL

show databases;
show tables;
select * from bi_df_m bdm ;

#  Chain ratio 

#  consumption 
select  
-- substr(a.d,1,7) as month ,
        STR_TO_DATE(a.d,'%Y-%m-%d') as  month ,
        round(a.consume) as  consumption ,
-- b.dd,
-- b.original_month,
        round(b.consume) as  Month on month , -- as consume_last,
        round((a.consume-b.consume)/b.consume,2) as  Link ratio   -- month_rate 
from 
(
select DATE_FORMAT(CONCAT(r_year,'-',r_month,'-01'),'%Y-%m-%d') as d,consume
from 
(
select r_year,r_month,sum(consume) as consume
from  grafana_bi.bi_df_m bdm 
-- where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by r_year,r_month) t 
) a 
left join
(
--  Run right 
select   DATE_ADD(DATE_FORMAT(CONCAT(r_year,'-',r_month,'-01'),'%Y-%m-%d'),INTERVAL 1 month ) as dd    
        ,DATE_FORMAT(CONCAT(r_year,'-',r_month,'-01'),'%Y-%m-%d') as original_month
        ,consume 
from 
(
select r_year,r_month,sum(consume) as consume
from  grafana_bi.bi_df_m bdm 
-- where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by r_year,r_month) t 
) b
on a.d = b.dd;

#  register 

select  
-- substr(a.d,1,7) as month ,
        STR_TO_DATE(a.d,'%Y-%m-%d') as time,
        round(a.reg) as  Number of registrations ,
-- b.dd,
-- b.original_month,
        round(b.reg) as  Month on month , -- as reg_last,
        round((a.reg-b.reg)/b.reg,2) as  Month on month growth rate   -- month_rate 
from 
(
select DATE_FORMAT(CONCAT(r_year,'-',r_month,'-01'),'%Y-%m-%d') as d,reg
from 
(
select r_year,r_month,sum(reg) as reg
from  grafana_bi.bi_df_m bdm 
-- where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by r_year,r_month) t 
) a 
left join
(
--  Run right 
select   DATE_ADD(DATE_FORMAT(CONCAT(r_year,'-',r_month,'-01'),'%Y-%m-%d'),INTERVAL 1 month ) as dd    
        ,DATE_FORMAT(CONCAT(r_year,'-',r_month,'-01'),'%Y-%m-%d') as original_month
        ,reg 
from 
(
select r_year,r_month,sum(reg) as reg
from  grafana_bi.bi_df_m bdm 
-- where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by r_year,r_month) t 
) b
on a.d = b.dd;



# ---------------------------------------  adopt r_year,r_month, Build a new field  ' year - month -01' ----------------------------------

desc grafana_bi.bi_df_m ; #  Look at the data table fields ：

use grafana_bi;
DROP  TABLE IF  EXISTS `temp_bi_df_m`;
CREATE TABLE IF NOT EXISTS `temp_bi_df_m`(
	 `r_year` int(10)
	,`r_month` varchar(10)
	,`channel_kind` varchar(10)
	,`brand_name` varchar(10)
	,`consume` int(10)
	,`flow` int(10)
	,`ent` int(10)
	,`reg` int(10)
	,`r_quarter` varchar(10)
	,`ym` varchar(10) #  New fields 
	,`update_Time` varchar(50)
)ENGINE=InnoDB DEFAULT CHARSET=utf8;

#  Check whether the data table was created successfully 
SELECT * from grafana_bi.temp_bi_df_m limit 10;

#  Interpolation number 
insert into grafana_bi.temp_bi_df_m(r_year,r_month,channel_kind,brand_name,consume,flow,ent,reg,r_quarter,ym,update_Time)
select 
		r_year
		,r_month
		,channel_kind
		,brand_name
		,consume
		,flow
		,ent
		,reg
		,r_quarter
		,DATE_FORMAT(CONCAT(r_year,'-',r_month,'-01'),'%Y-%m-%d') as ym  #  Added one  rm  Field 
		,update_Time
from  grafana_bi.bi_df_m ;

show tables;

#  Adding fields and creating a new table succeeded ：
select *
from  grafana_bi.temp_bi_df_m ;

# --------------------------------------  In the new bottom table temp_bi_df_m In the development grafana sql Script  --------------------------------------

--  consumption 
select  
        STR_TO_DATE(a.d,'%Y-%m-%d') as time, 
        a.consume as consume ,
        b.consume as consume_last,
        round((a.consume-b.consume)/b.consume,2) as month_rate 
from 
(
select ym as d,consume
from (select ym,sum(consume) as consume --  According to ：r_year,r_month  grouping   Become installation ym Field grouping 
from  temp_bi_df_m tb
where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by ym) t ) a 
left join
(
--  Run right 
select   DATE_ADD(ym,INTERVAL 1 month ) as dd    
        ,ym as original_month
        ,consume 
from 
(
select ym,sum(consume) as consume
from  temp_bi_df_m tb
where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by ym) t 
) b
on a.d = b.dd;

--  register 
select  
        STR_TO_DATE(a.d,'%Y-%m-%d') as time, 
        a.reg as reg ,
        b.reg as reg_last,
        round((a.reg-b.reg)/b.reg,2) as month_rate 
from 
(
select ym as d,reg
from (select ym,sum(reg) as reg --  According to ：r_year,r_month  grouping   Become installation ym Field grouping 
from  temp_bi_df_m tb
where channel_kind = 'APP' AND brand_name = '2_bibgold'
-- where channel_kind in ($channel_kind) AND brand_name in ($brand_name) 
group by ym) t ) a 
left join
(
--  Run right 
select   DATE_ADD(ym,INTERVAL 1 month ) as dd    
        ,ym as original_month
        ,reg 
from 
(
select ym,sum(reg) as reg
from  temp_bi_df_m tb
where channel_kind = 'APP' AND brand_name = '2_bibgold'
-- where channel_kind in ($channel_kind) AND brand_name in ($brand_name) 
group by ym) t 
) b
on a.d = b.dd;

--  Into gold ：

select  
        STR_TO_DATE(a.d,'%Y-%m-%d') as time, 
        a.ent as ent ,
        b.ent as ent_last,
        round((a.ent-b.ent)/b.ent,2) as month_rate 
from 
(
select ym as d,ent
from (select ym,sum(ent) as ent --  According to ：r_year,r_month  grouping   Become installation ym Field grouping 
from  temp_bi_df_m tb
-- where channel_kind = 'APP' AND brand_name = '2_bibgold'
where channel_kind in ($channel_kind) AND brand_name in ($brand_name) 
group by ym) t ) a 
left join
(
--  Run right 
select   DATE_ADD(ym,INTERVAL 1 month ) as dd    
        ,ym as original_month
        ,ent 
from 
(
select ym,sum(ent) as ent
from  temp_bi_df_m tb
-- where channel_kind = 'APP' AND brand_name = '2_bibgold'
where channel_kind in ($channel_kind) AND brand_name in ($brand_name) 
group by ym) t 
) b
on a.d = b.dd;



#---------------------------------------------------  Development adapts to grafana Analysis chart of sql sentence --------------------------------------


use grafana_bi;
DROP  TABLE IF  EXISTS `app_c_df_m`;
CREATE TABLE IF NOT EXISTS `app_c_df_m`(
	 `ddate`  varchar(50)
	,`consume` int(10)
	,`consume2` int(10)
-- ,`month_rate` decimal(10,3)
)ENGINE=InnoDB DEFAULT CHARSET=utf8;

select * 
from app_c_df_m;

#  Interpolation number 
insert into grafana_bi.app_c_df_m(ddate,consume,consume2)
select  
        a.d as ddate,
        a.consume as consume ,
        b.consume as consume_last
-- round((a.consume-b.consume)/b.consume,2) as month_rate 
from 
(
select ym as d,consume
from (select ym,sum(consume) as consume --  According to ：r_year,r_month  grouping   Become installation ym Field grouping 
from  temp_bi_df_m tb
where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by ym) t ) a 
left join
(
--  Run right 
select   DATE_ADD(ym,INTERVAL 1 month ) as dd    
        ,ym as original_month
        ,consume 
from 
(
select ym,sum(consume) as consume
from  temp_bi_df_m tb
where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by ym) t 
) b
on a.d = b.dd;

SELECT *  from grafana_bi.app_c_df_m;

# grafana sql Script ：
--  Law 1 ： Individual query To write ：
select   STR_TO_DATE(ddate,'%Y-%m-%d') as time 
        ,consume
        ,consume2
from grafana_bi.app_c_df_m;

--  Law two ： In two query To write ：
select   STR_TO_DATE(ddate,'%Y-%m-%d') as time 
        ,consume
from grafana_bi.app_c_df_m;

select   STR_TO_DATE(ddate,'%Y-%m-%d') as time 
        ,consume2
from grafana_bi.app_c_df_m;