The wife company has the following requirements:
Query the user return information of King of Glory. When the user logs in for two consecutive days, it is judged to be a 2-day return. If the user logs in every one day, it is judged to be a 3-day return. If the user logs in every 5 days, it is judged to be a 7-day return. The user data interval is as short as 14 days (fixed).
Prepare data
The database syntax is the same as mysql.
Create the table:
create table user_login(
u_id int,
login_date timestamp default current_timestamp
);
Insert data:
DELIMITER //
create procedure loop_insert()
begin
declare days int;
declare usrs int;
declare mx int;
declare i int;
set days = 14;
set usrs = 30;
set mx = 500;
set i = 1;
repeat
insert into user_login(u_id,login_date) values (floor((RAND() * usrs)),subdate(sysdate(),(RAND() * (days+1))));
set i = i + 1;
until i >= mx
end repeat;
end//
call loop_insert();
At first I thought of using group_concat, sql is like this:
SELECT
u_id, group_concat(distinct DATE_FORMAT(login_date, '%Y%m%d') order by DATE_FORMAT(login_date, '%Y%m%d') desc separator '-') AS yyyymmdd
FROM
user_login
GROUP BY u_id;
Later, I thought that converting the date into an INTEGER subtraction is inaccurate (such as across the month), and this display does not solve the demand.
Well, consider row-to-column.
row to column
Rows and columns need to be case whenenumerated. Fortunately, the date is only 14 days old. It can be done:
SELECT
u_id,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180413' THEN login_date
ELSE ''
END AS d20180413,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180414' THEN login_date
ELSE ''
END AS d20180414,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180415' THEN login_date
ELSE ''
END AS d20180415,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180416' THEN login_date
ELSE ''
END AS d20180416,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180417' THEN login_date
ELSE ''
END AS d20180417,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180418' THEN login_date
ELSE ''
END AS d20180418,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180419' THEN login_date
ELSE ''
END AS d20180419,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180420' THEN login_date
ELSE ''
END AS d20180420,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180421' THEN login_date
ELSE ''
END AS d20180421,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180422' THEN login_date
ELSE ''
END AS d20180422,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180423' THEN login_date
ELSE ''
END AS d20180423,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180424' THEN login_date
ELSE ''
END AS d20180424,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180425' THEN login_date
ELSE ''
END AS d20180425,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180426' THEN login_date
ELSE ''
END AS d20180426
FROM
user_login
search result:
Merge by User
According to the user's merging date, deduplication maxcan be guaranteed for a single piece of data. If there is data, it is set to 1 and no data is set to 0:
SELECT
u_id,
CASE
WHEN MAX(d20180413) = '' THEN '0'
ELSE '1'
END AS isZ20180413,
CASE
WHEN MAX(d20180414) = '' THEN '0'
ELSE '1'
END AS isZ20180414,
CASE
WHEN MAX(d20180415) = '' THEN '0'
ELSE '1'
END AS isZ20180415,
CASE
WHEN MAX(d20180416) = '' THEN '0'
ELSE '1'
END AS isZ20180416,
CASE
WHEN MAX(d20180417) = '' THEN '0'
ELSE '1'
END AS isZ20180417,
CASE
WHEN MAX(d20180418) = '' THEN '0'
ELSE '1'
END AS isZ20180418,
CASE
WHEN MAX(d20180419) = '' THEN '0'
ELSE '1'
END AS isZ20180419,
CASE
WHEN MAX(d20180420) = '' THEN '0'
ELSE '1'
END AS isZ20180420,
CASE
WHEN MAX(d20180421) = '' THEN '0'
ELSE '1'
END AS isZ20180421,
CASE
WHEN MAX(d20180422) = '' THEN '0'
ELSE '1'
END AS isZ20180422,
CASE
WHEN MAX(d20180423) = '' THEN '0'
ELSE '1'
END AS isZ20180423,
CASE
WHEN MAX(d20180424) = '' THEN '0'
ELSE '1'
END AS isZ20180424,
CASE
WHEN MAX(d20180425) = '' THEN '0'
ELSE '1'
END AS isZ20180425,
CASE
WHEN MAX(d20180426) = '' THEN '0'
ELSE '1'
END AS isZ20180426
FROM
(SELECT
u_id,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180413' THEN login_date
ELSE ''
END AS d20180413,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180414' THEN login_date
ELSE ''
END AS d20180414,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180415' THEN login_date
ELSE ''
END AS d20180415,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180416' THEN login_date
ELSE ''
END AS d20180416,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180417' THEN login_date
ELSE ''
END AS d20180417,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180418' THEN login_date
ELSE ''
END AS d20180418,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180419' THEN login_date
ELSE ''
END AS d20180419,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180420' THEN login_date
ELSE ''
END AS d20180420,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180421' THEN login_date
ELSE ''
END AS d20180421,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180422' THEN login_date
ELSE ''
END AS d20180422,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180423' THEN login_date
ELSE ''
END AS d20180423,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180424' THEN login_date
ELSE ''
END AS d20180424,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180425' THEN login_date
ELSE ''
END AS d20180425,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180426' THEN login_date
ELSE ''
END AS d20180426
FROM
user_login) t0
GROUP BY u_id
search result:
Column to row
Use group_concat:
SELECT
u_id,
CONCAT(isZ20180413, isZ20180414, isZ20180415, isZ20180416, isZ20180417, isZ20180418, isZ20180419, isZ20180420, isZ20180421, isZ20180422, isZ20180423, isZ20180424, isZ20180425, isZ20180426) AS sumIsZ
FROM
(SELECT
u_id,
CASE
WHEN MAX(d20180413) = '' THEN '0'
ELSE '1'
END AS isZ20180413,
CASE
WHEN MAX(d20180414) = '' THEN '0'
ELSE '1'
END AS isZ20180414,
CASE
WHEN MAX(d20180415) = '' THEN '0'
ELSE '1'
END AS isZ20180415,
CASE
WHEN MAX(d20180416) = '' THEN '0'
ELSE '1'
END AS isZ20180416,
CASE
WHEN MAX(d20180417) = '' THEN '0'
ELSE '1'
END AS isZ20180417,
CASE
WHEN MAX(d20180418) = '' THEN '0'
ELSE '1'
END AS isZ20180418,
CASE
WHEN MAX(d20180419) = '' THEN '0'
ELSE '1'
END AS isZ20180419,
CASE
WHEN MAX(d20180420) = '' THEN '0'
ELSE '1'
END AS isZ20180420,
CASE
WHEN MAX(d20180421) = '' THEN '0'
ELSE '1'
END AS isZ20180421,
CASE
WHEN MAX(d20180422) = '' THEN '0'
ELSE '1'
END AS isZ20180422,
CASE
WHEN MAX(d20180423) = '' THEN '0'
ELSE '1'
END AS isZ20180423,
CASE
WHEN MAX(d20180424) = '' THEN '0'
ELSE '1'
END AS isZ20180424,
CASE
WHEN MAX(d20180425) = '' THEN '0'
ELSE '1'
END AS isZ20180425,
CASE
WHEN MAX(d20180426) = '' THEN '0'
ELSE '1'
END AS isZ20180426
FROM
(SELECT
u_id,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180413' THEN login_date
ELSE ''
END AS d20180413,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180414' THEN login_date
ELSE ''
END AS d20180414,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180415' THEN login_date
ELSE ''
END AS d20180415,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180416' THEN login_date
ELSE ''
END AS d20180416,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180417' THEN login_date
ELSE ''
END AS d20180417,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180418' THEN login_date
ELSE ''
END AS d20180418,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180419' THEN login_date
ELSE ''
END AS d20180419,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180420' THEN login_date
ELSE ''
END AS d20180420,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180421' THEN login_date
ELSE ''
END AS d20180421,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180422' THEN login_date
ELSE ''
END AS d20180422,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180423' THEN login_date
ELSE ''
END AS d20180423,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180424' THEN login_date
ELSE ''
END AS d20180424,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180425' THEN login_date
ELSE ''
END AS d20180425,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180426' THEN login_date
ELSE ''
END AS d20180426
FROM
user_login) t0
GROUP BY u_id) t1
search result:
statistics
SELECT
u_id,
sumIsZ,
CASE
WHEN LOCATE('11', sumIsZ) > 0 THEN 2
ELSE 0
END AS is2Back,/*2日回流*/
CASE
WHEN LOCATE('101', sumIsZ) > 0 THEN 3
ELSE 0
END AS is3Back,/*3日回流*/
CASE
WHEN LOCATE('1001', sumIsZ) > 0 THEN 4
ELSE 0
END AS is4Back,/*4日回流*/
CASE
WHEN LOCATE('10001', sumIsZ) > 0 THEN 5
ELSE 0
END AS is5Back,/*5日回流*/
CASE
WHEN LOCATE('100001', sumIsZ) > 0 THEN 6
ELSE 0
END AS is6Back,/*6日回流*/
CASE
WHEN LOCATE('1000001', sumIsZ) > 0 THEN 7
ELSE 0
END AS is7Back/*7日回流*/
FROM
(SELECT
u_id,
CONCAT(isZ20180413, isZ20180414, isZ20180415, isZ20180416, isZ20180417, isZ20180418, isZ20180419, isZ20180420, isZ20180421, isZ20180422, isZ20180423, isZ20180424, isZ20180425, isZ20180426) AS sumIsZ
FROM
(SELECT
u_id,
CASE
WHEN MAX(d20180413) = '' THEN '0'
ELSE '1'
END AS isZ20180413,
CASE
WHEN MAX(d20180414) = '' THEN '0'
ELSE '1'
END AS isZ20180414,
CASE
WHEN MAX(d20180415) = '' THEN '0'
ELSE '1'
END AS isZ20180415,
CASE
WHEN MAX(d20180416) = '' THEN '0'
ELSE '1'
END AS isZ20180416,
CASE
WHEN MAX(d20180417) = '' THEN '0'
ELSE '1'
END AS isZ20180417,
CASE
WHEN MAX(d20180418) = '' THEN '0'
ELSE '1'
END AS isZ20180418,
CASE
WHEN MAX(d20180419) = '' THEN '0'
ELSE '1'
END AS isZ20180419,
CASE
WHEN MAX(d20180420) = '' THEN '0'
ELSE '1'
END AS isZ20180420,
CASE
WHEN MAX(d20180421) = '' THEN '0'
ELSE '1'
END AS isZ20180421,
CASE
WHEN MAX(d20180422) = '' THEN '0'
ELSE '1'
END AS isZ20180422,
CASE
WHEN MAX(d20180423) = '' THEN '0'
ELSE '1'
END AS isZ20180423,
CASE
WHEN MAX(d20180424) = '' THEN '0'
ELSE '1'
END AS isZ20180424,
CASE
WHEN MAX(d20180425) = '' THEN '0'
ELSE '1'
END AS isZ20180425,
CASE
WHEN MAX(d20180426) = '' THEN '0'
ELSE '1'
END AS isZ20180426
FROM
(SELECT
u_id,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180413' THEN login_date
ELSE ''
END AS d20180413,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180414' THEN login_date
ELSE ''
END AS d20180414,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180415' THEN login_date
ELSE ''
END AS d20180415,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180416' THEN login_date
ELSE ''
END AS d20180416,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180417' THEN login_date
ELSE ''
END AS d20180417,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180418' THEN login_date
ELSE ''
END AS d20180418,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180419' THEN login_date
ELSE ''
END AS d20180419,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180420' THEN login_date
ELSE ''
END AS d20180420,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180421' THEN login_date
ELSE ''
END AS d20180421,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180422' THEN login_date
ELSE ''
END AS d20180422,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180423' THEN login_date
ELSE ''
END AS d20180423,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180424' THEN login_date
ELSE ''
END AS d20180424,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180425' THEN login_date
ELSE ''
END AS d20180425,
CASE DATE_FORMAT(login_date, '%Y%m%d')
WHEN '20180426' THEN login_date
ELSE ''
END AS d20180426
FROM
user_login) t0
GROUP BY u_id) t1) t2
;
search result:
Epilogue
Wife, just follow this logic tomorrow, okay? (23:50 on April 26, 2018)