Navicat下生产报表及自动化处理

下列是我采用Navicat 12.0版本 做每天印度餐厅的报表自动生成报表

1. 打开Navicat编写好程序代码，并保证能正常运行不报错

GROUP_CONCAT函数用于将多个字符串连接成一个字符串，在拼接成字符串时就会存在拼接长度的问题，mysql 默认的拼接最大长度为1024 个字节，由于1024个字节会出现不够用的情况，所以有时需要去根据情况进行修改，方式如下。
MySQL group_concat函数参考链接
由于自己没有在MySQL配置文件中修改group_concat的拼接长度，所以要在函数开头补充修改参数：

#设置最大编排函数长度
SET GLOBAL group_concat_max_len=102400;
SET SESSION group_concat_max_len = 102400;

印度餐厅报表整理的数据整理代码如下：

-- 第一步：建立中间表1，将点法汇总到一列且用文字表示。同时用时间函数筛选最近1年的交易，计算每家店每种点法的具体交易数。
DROP TABLE IF EXISTS middle_list1;
CREATE TABLE IF NOT EXISTS middle_list1 AS
SELECT CONCAT(rice_tag,' ',curry_tag,' ',naan_tag) AS choices,brand_tag,
COUNT(DISTINCT `Order Number`) AS count_order_number
FROM(
SELECT a.*, 
case WHEN a.quantity>0 THEN 1 else 0 END AS rice_flag,
case WHEN a.quantity>0 THEN 1 else 0 END AS curry_flag,
case WHEN a.quantity>0 THEN 1 else 0 END AS naan_flag,
case WHEN a.rice_quantity>0 THEN 'rice' else '' END AS rice_tag,
case WHEN a.curry_quantity>0 THEN 'curry' else ' ' END AS curry_tag,
case WHEN a.naan_quantity>0 THEN 'naan' else ' ' END AS naan_tag
FROM(
SELECT brand_tag,`Order Number`,date,
SUM(Quantity) AS quantity,
SUM(Quantity*`Product Price`) AS total_price,
SUM(CASE WHEN `Item Name`LIKE '%rice%' THEN Quantity*`Product Price` ELSE 0 END) AS rice_sales,
SUM(CASE WHEN `Item Name`LIKE '%rice%' THEN Quantity ELSE 0 END) AS rice_quantity,
SUM(CASE WHEN `Item Name`LIKE '%curry%' THEN Quantity*`Product Price` ELSE 0 END) AS curry_sales,
SUM(CASE WHEN `Item Name`LIKE '%curry%' THEN Quantity ELSE 0 END) AS curry_quantity,
SUM(CASE WHEN `Item Name`LIKE '%naan%' THEN Quantity*`Product Price` ELSE 0 END) AS naan_sales,
SUM(CASE WHEN `Item Name`LIKE '%naan%' THEN Quantity ELSE 0 END) AS naan_quantity
FROM ds_indian_restaurants_orders_price_date
GROUP BY brand_tag,`Order Number`,date
)a
)b
WHERE b.date BETWEEN SUBDATE(CURDATE(),365) AND CURDATE()
GROUP BY CONCAT(rice_tag,curry_tag,naan_tag,''),brand_tag
ORDER BY CONCAT(rice_tag,curry_tag,naan_tag,''),brand_tag;


#第二步：计算每家店在此次运行中的数据起始日期和总交易数，计入中间表2，为之后关联统计做准备。
DROP TABLE IF EXISTS middle_list2;
CREATE TABLE IF NOT EXISTS middle_list2 AS
SELECT brand_tag,
MIN(date) AS start_time,
MAX(date) AS end_time,
COUNT(DISTINCT `Order Number`) AS count_order_number,
now() AS lastest_update_time
FROM ds_indian_restaurants_orders_price_date
WHERE date BETWEEN SUBDATE(CURDATE(),365) AND CURDATE()
GROUP BY brand_tag
ORDER BY brand_tag;

表1：

表2：

其中生成表2时报错：详细请看

--查找提示的错误：
select @@global.sql_mode
='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION';
--修正错误格式
set @@global.sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION'

--修改完之后，表2能正常生成，是为了更改底层SQL里面的参数，不需要增加到报表代码中

联立2个表，形成表3：

第三步：将中间表1和中间表2关联后汇总计算表1中每种点法的占比，附上每家店此次运行的起始时间并加上本次任务执行完成的时间。
DROP TABLE IF EXISTS list3;

CREATE TABLE list3 AS
SELECT a.choices,b.start_time,
#计算出不同分店的所有点法的订单数
SUM(CASE when a.brand_tag='res_1' THEN a.count_order_number ELSE 0 END) AS res1_orders,
SUM(CASE when a.brand_tag='res_2' THEN a.count_order_number ELSE 0 END) AS res2_orders,
#计算出不同分店的所有点法的订单占该店所有订单数的比例
CONCAT(ROUND(SUM(CASE when a.brand_tag='res_1' THEN a.count_order_number ELSE 0 END)/MAX(CASE when a.brand_tag='res_1' THEN b.count_order_number ELSE 0 END),2)*100,'%') AS res1_orders_rate,
CONCAT(ROUND(SUM(CASE when a.brand_tag='res_2' THEN a.count_order_number ELSE 0 END)/MAX(CASE when a.brand_tag='res_2' THEN b.count_order_number ELSE 0 END),2)*100,'%') AS res2_orders_rate,
b.end_time,b.lastest_update_time
FROM middle_list1 a
JOIN middle_list2 b ON
a.brand_tag=b.brand_tag
GROUP BY a.choices,b.start_time,b.end_time
ORDER BY a.choices;

2、新建报表

粘贴上述三段代码：

注意：该段代码需要直接查询出来的对象用来作为报表的引用，不能带有creat table的字样，不然不能生产报表，所以上面的代码做了部分修改：

DROP TABLE IF EXISTS middle_list1;
CREATE TABLE IF NOT EXISTS middle_list1 AS
SELECT CONCAT(rice_tag,' ',curry_tag,' ',naan_tag) AS choices,brand_tag,
COUNT(DISTINCT `Order Number`) AS count_order_number
FROM(
SELECT a.*, 
case WHEN a.quantity>0 THEN 1 else 0 END AS rice_flag,
case WHEN a.quantity>0 THEN 1 else 0 END AS curry_flag,
case WHEN a.quantity>0 THEN 1 else 0 END AS naan_flag,
case WHEN a.rice_quantity>0 THEN 'rice' else '' END AS rice_tag,
case WHEN a.curry_quantity>0 THEN 'curry' else ' ' END AS curry_tag,
case WHEN a.naan_quantity>0 THEN 'naan' else ' ' END AS naan_tag
FROM(
SELECT brand_tag,`Order Number`,date,
SUM(Quantity) AS quantity,
SUM(Quantity*`Product Price`) AS total_price,
SUM(CASE WHEN `Item Name`LIKE '%rice%' THEN Quantity*`Product Price` ELSE 0 END) AS rice_sales,
SUM(CASE WHEN `Item Name`LIKE '%rice%' THEN Quantity ELSE 0 END) AS rice_quantity,
SUM(CASE WHEN `Item Name`LIKE '%curry%' THEN Quantity*`Product Price` ELSE 0 END) AS curry_sales,
SUM(CASE WHEN `Item Name`LIKE '%curry%' THEN Quantity ELSE 0 END) AS curry_quantity,
SUM(CASE WHEN `Item Name`LIKE '%naan%' THEN Quantity*`Product Price` ELSE 0 END) AS naan_sales,
SUM(CASE WHEN `Item Name`LIKE '%naan%' THEN Quantity ELSE 0 END) AS naan_quantity
FROM ds_indian_restaurants_orders_price_date
GROUP BY brand_tag,`Order Number`,date
)a
)b
WHERE b.date BETWEEN SUBDATE(CURDATE(),365) AND CURDATE()
GROUP BY CONCAT(rice_tag,curry_tag,naan_tag,''),brand_tag
ORDER BY CONCAT(rice_tag,curry_tag,naan_tag,''),brand_tag;
#第二步：计算每家店在此次运行中的数据起始日期和总交易数，计入中间表2，为之后关联统计做准备。
DROP TABLE IF EXISTS middle_list2;
CREATE TABLE IF NOT EXISTS middle_list2 AS
SELECT brand_tag,
MIN(date) AS start_time,
MAX(date) AS end_time,
COUNT(DISTINCT `Order Number`) AS count_order_number,
now() AS lastest_update_time
FROM ds_indian_restaurants_orders_price_date
WHERE date BETWEEN SUBDATE(CURDATE(),365) AND CURDATE()
GROUP BY brand_tag
ORDER BY brand_tag;
-- SQL优化流程：
-- 第三步：将中间表1和中间表2关联后汇总计算表1中每种点法的占比，附上每家店此次运行的起始时间并加上本次任务执行完成的时间。
SELECT a.choices,b.start_time,
#计算出不同分店的所有点法的订单数
SUM(CASE when a.brand_tag='res_1' THEN a.count_order_number ELSE 0 END) AS res1_orders,
SUM(CASE when a.brand_tag='res_2' THEN a.count_order_number ELSE 0 END) AS res2_orders,
#计算出不同分店的所有点法的订单占该店所有订单数的比例
CONCAT(ROUND(SUM(CASE when a.brand_tag='res_1' THEN a.count_order_number ELSE 0 END)/MAX(CASE when a.brand_tag='res_1' THEN b.count_order_number ELSE 0 END),2)*100,'%') AS res1_orders_rate,
CONCAT(ROUND(SUM(CASE when a.brand_tag='res_2' THEN a.count_order_number ELSE 0 END)/MAX(CASE when a.brand_tag='res_2' THEN b.count_order_number ELSE 0 END),2)*100,'%') AS res2_orders_rate,
b.end_time,b.lastest_update_time
FROM middle_list1 a
JOIN middle_list2 b ON
a.brand_tag=b.brand_tag
GROUP BY a.choices,b.start_time,b.end_time
ORDER BY a.choices;

将需要的字段拖进相应的位置并作调整

修改表头及内容格式，生成相应的报表，每次修改都需要调整表格的大小，以便刷新
点选预览，查看最终效果

最后保存报表，最终在报表栏会出现刚新做的报表

3、自动化报表

注意：若需要发送附件记得点选添加附件，点了是没反应的（这是自然现象）

邮箱设置如下，我用自己的QQ邮箱发送到163邮箱做测试：根据下列要求

设置任务触发器：

测试发送