老婆公司有個這樣的需求:mysql
查詢出某遊戲用戶迴流信息,當用戶連續兩天登錄,則斷定爲2日迴流,若是間隔一天登錄,則斷定爲3日迴流,若是間隔5天登錄,則斷定爲7日迴流。用戶數據間隔時間短爲14天(固定)。
database語法和mysql一致。sql
建立表:oop
create table user_login( u_id int, login_date timestamp default current_timestamp );
插入數據:spa
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();
最開始我想到的是用group_concat
,sql是這樣:3d
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;
後來想一想日期轉換成INTEGER相減是不許確的(好比跨月),並且這樣顯示並不能解決需求。code
好吧,考慮行轉列。blog
行轉列,須要case when
枚舉,好在日期只有14天,能夠作到:遊戲
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
查詢結果:圖片
按用戶合併日期,去重,用max
能夠保證單條數據,有數據置爲1無數據置爲0:it
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
查詢結果:
使用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
查詢結果:
SELECT u_id, sumIsZ, CASE WHEN LOCATE('11', sumIsZ) > 0 THEN 2 ELSE 0 END AS is2Back,/*2日迴流*/ CASE WHEN LOCATE('101', sumIsZ) > 0 THEN 3 ELSE 0 END AS is3Back,/*3日迴流*/ CASE WHEN LOCATE('1001', sumIsZ) > 0 THEN 4 ELSE 0 END AS is4Back,/*4日迴流*/ CASE WHEN LOCATE('10001', sumIsZ) > 0 THEN 5 ELSE 0 END AS is5Back,/*5日迴流*/ CASE WHEN LOCATE('100001', sumIsZ) > 0 THEN 6 ELSE 0 END AS is6Back,/*6日迴流*/ CASE WHEN LOCATE('1000001', sumIsZ) > 0 THEN 7 ELSE 0 END AS is7Back/*7日迴流*/ 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 ;
查詢結果:
老婆,明天照着這個邏輯寫就能夠了,麼麼噠。(2018年4月26日23點50分)