實現功能，對用戶的訪問做統計，最近7天的訪問人數（1-7連續的），可以按照瀏覽器，或者其他條件進行分組，合並之後按時間排序
select group_concat(countValue order by sst.countKey),group_concat(countKey order by sst.countKey),brower from (
select DATE_FORMAT(mycreatedate,‘%m-%d‘) as countKey,ifnull(COUNT(pv.create_date), 0) as countValue ,pv.brower from (
SELECT curdate() as mycreatedate
union all
SELECT date_sub(curdate(), interval 1 day) as mycreatedate
union all
SELECT date_sub(curdate(), interval 2 day) as mycreatedate
union all
SELECT date_sub(curdate(), interval 3 day) as mycreatedate
union all
SELECT date_sub(curdate(), interval 4 day) as mycreatedate
union all
SELECT date_sub(curdate(), interval 5 day) as mycreatedate
union all
SELECT date_sub(curdate(), interval 6 day) as mycreatedate
) as total
LEFT JOIN base_log_event pv on DATE_FORMAT(pv.create_date,‘%Y-%m-%d‘)=total.mycreatedate
GROUP BY mycreatedate,pv.brower
) sst
group by sst.brower
 

註意，如果要對分組合並數據排序group_concat(ss order by ddd)這樣寫

統計最近幾天的分組數據