MYSQL中按照季度、月份等分组

转自:https://www.freesion.com/article/1415317089/

 

mysql中关于分组的使用

MYSQL中按照季度、月份等分组

  1.   select DATE_FORMAT(create_time,'%Y%u') weeks,count(caseid) count from tc_case group by weeks;
  2.   select DATE_FORMAT(create_time,'%Y%m%d') days,count(caseid) count from tc_case group by days;
  3.   select DATE_FORMAT(create_time,'%Y%m') months,count(caseid) count from tc_case group by months;
  4.    
  5.   1、按照月份:
  6.   select sum(total_amount) as total, date_format(stat_date, '%Y-%m') from week_report WHERE `stat_date` BETWEEN '2016-11-02' AND '2017-04-30' group by date_format(stat_date, '%Y-%m');
  7.   select sum(total_amount) as total,date_format(stat_date, '%Y-%m') from week_report WHERE `stat_date` BETWEEN '2016-12-11' AND '2016-12-22' group by date_format(stat_date, '%Y-%m');
  8.   获得按照月份分组进行汇总的数据。
  9.    
  10.   concat()连接字符串
  11.    
  12.   -- month
  13.   select CONCAT(YEAR(stat_date),'_',DATE_FORMAT(stat_date,'%m')) months ,sum(total_amount) as count_amount, sum(total_new_user) as count_new_user, sum(da_active_user) as count_active_user from xxx
  14.   WHERE `stat_date` BETWEEN '2016-01-02' AND '2017-05-30' group by months;
  15.    
  16.   -- 季度
  17.   select CONCAT(YEAR(stat_date),'_',quarter(stat_date)) qu,sum(total_amount) as count_amount, sum(total_new_user) as count_new_user, sum(da_active_user) as count_active_user from xxx
  18.   WHERE `stat_date` BETWEEN '2016-01-02' AND '2017-05-30' group by qu;
  19.    
  20.   -- 周
  21.   select CONCAT(YEAR(stat_date),'_',DATE_FORMAT(stat_date,'%U')) weeks,sum(total_amount) as count_amount, sum(total_new_user) as count_new_user, sum(da_active_user) as count_active_user from xxx
  22.   WHERE `stat_date` BETWEEN '2016-01-02' AND '2017-05-30' group by weeks;
  23.    
  24.   -- 天
  25.   select CONCAT(YEAR(stat_date),'_',DATE_FORMAT(stat_date,'%m'),'_',DATE_FORMAT(stat_date,'%d')) days, sum(total_amount) as count_amount, sum(total_new_user) as count_new_user, sum(da_active_user) as count_active_user from xxx
  26.   WHERE `stat_date` BETWEEN '2016-01-02' AND '2017-05-30' group by days
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