展示用sql创建中间数据表的实际工作用例

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

# 环比

# 消费
select  
-- substr(a.d,1,7) as month ,
        STR_TO_DATE(a.d,'%Y-%m-%d') as 月份,
        round(a.consume) as 消费,
-- b.dd,
-- b.original_month,
        round(b.consume) as 环比上月, -- as consume_last,
        round((a.consume-b.consume)/b.consume,2) as 环比率  -- 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
(
-- 运行正确
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;

# 注册

select  
-- substr(a.d,1,7) as month ,
        STR_TO_DATE(a.d,'%Y-%m-%d') as time,
        round(a.reg) as 注册数,
-- b.dd,
-- b.original_month,
        round(b.reg) as 环比上月, -- as reg_last,
        round((a.reg-b.reg)/b.reg,2) as 环比增长率  -- 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
(
-- 运行正确
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;



# --------------------------------------- 通过r_year,r_month,构建新的字段 '年-月-01' ----------------------------------

desc grafana_bi.bi_df_m ; # 查看数据表字段：

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) # 新增字段
	,`update_Time` varchar(50)
)ENGINE=InnoDB DEFAULT CHARSET=utf8;

# 查看数据表是否创建成功
SELECT * from grafana_bi.temp_bi_df_m limit 10;

# 插数
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  # 增加了一个 rm 字段
		,update_Time
from  grafana_bi.bi_df_m ;

show tables;

# 补充字段并创建新表成功：
select *
from  grafana_bi.temp_bi_df_m ;

# -------------------------------------- 在新的底表temp_bi_df_m中开发grafana sql脚本 --------------------------------------

-- 消费
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 -- 将之前按照：r_year,r_month 分组 变成安装ym字段分组
from  temp_bi_df_m tb
where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by ym) t ) a 
left join
(
-- 运行正确
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;

-- 注册
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 -- 将之前按照：r_year,r_month 分组 变成安装ym字段分组
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
(
-- 运行正确
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;

-- 入金：

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 -- 将之前按照：r_year,r_month 分组 变成安装ym字段分组
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
(
-- 运行正确
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;



#--------------------------------------------------- 开发适应grafana的分析图表sql语句--------------------------------------


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;

# 插数
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 -- 将之前按照：r_year,r_month 分组 变成安装ym字段分组
from  temp_bi_df_m tb
where channel_kind = 'APP' AND brand_name = '2_bibgold'
group by ym) t ) a 
left join
(
-- 运行正确
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脚本：
-- 法一：分单个query去写：
select   STR_TO_DATE(ddate,'%Y-%m-%d') as time 
        ,consume
        ,consume2
from grafana_bi.app_c_df_m;

-- 法二：分两个query去写：
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;