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sql sum嵌套查询+ group by

發(fā)布時(shí)間:2025/4/5 编程问答 23 豆豆
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嵌套查詢經(jīng)典用法

WITH ps AS (SELECT DATE(created_at )AS dt, army_num, mid, army_id, left_num, kingdom_id,created_at, player_id,platform_idFROM `heidao-market.mafia.army`WHERE DATE(created_at) = "2019-08-14") SELECTSUM(army_num) AS sum_change,AVG(left_num ) AS m_left,SUM(army_num)/AVG(left_num +1 ) AS ratio,COUNTIF( army_num<=0) AS ct_m,COUNTIF(army_num>0) AS ct_p,COUNTIF( army_num<=0)/( COUNTIF( army_num<=0)+COUNTIF(army_num>0)) as m_p,max( army_num) as max_change,min( army_num) as min_change,max( army_num)/( min( army_num)) as mm_ratio,player_id,dtFROM psGROUP BY player_id,dt

提取login數(shù)據(jù)

with log as (SELECT action_time,DATE(action_time) as dt,lev ,kingdom_id ,login_time_length,player_id,platform_idFROM `heidao-market.mafia.login`WHERE DATE(action_time) >= "2019-07-01"  and DATE(action_time) < "2019-07-02" and action=-1) SELECTSUM(login_time_length) AS sum_login,player_id,dtFROM logGROUP BY player_id,dt SELECT player_id , sum_time from (SELECT player_id ,sum(login_time_length) as sum_time FROM `heidao-market.mafia.login`WHERE DATE(action_time) = "2019-08-10" and action=-1 group by player_id ) where sum_time>3600

with 嵌套

with ps as (SELECT player_id FROM `cloud-test-199409.ledi.big_player` ) SELECT * FROM `heidao-market.mafia.army` WHERE DATE(created_at) >= "2018-08-01" and player_id in (select player_id from ps)

聚合army表

WITH ps AS (SELECT DATE(created_at )AS dt, army_num, mid, army_id, left_num, kingdom_id,created_at, player_id,platform_idFROM `heidao-market.mafia.army`where   DATE(created_at) < "2019-08-01" and player_id in (select player_id from `cloud-test-199409.ledi.R5`))SELECTSUM(army_num) AS sum_change,AVG(left_num ) AS m_left,SUM(army_num)/AVG(left_num +1.1234567) AS ratio,COUNTIF( army_num<=0) AS ct_m,COUNTIF(army_num>0) AS ct_p,COUNTIF( army_num<=0)/( COUNTIF( army_num<=0)+COUNTIF(army_num>0)) as m_p,max( army_num) as max_change,min( army_num) as min_change,max( army_num)/( min( army_num)+1.1234567) as mm_ratio,player_id,dtFROM psGROUP BY player_id,dt

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