ads_sale_tm_category1_stat_mn

复购率

很简单

drop table ads_sale_tm_category1_stat_mn; 
create external table ads_sale_tm_category1_stat_mn 
( 
tm_id string comment '品牌 id', 
category1_id string comment '1 级品类 id ', 
category1_name string comment '1 级品类名称 ', 
buycount bigint comment '购买人数', 
buy_twice_last bigint comment '两次以上购买人数', 
buy_twice_last_ratio decimal(10,2) comment '单次复购率', 
buy_3times_last bigint comment '三次以上购买人数', 
buy_3times_last_ratio decimal(10,2) comment '多次复购率', 
stat_mn string comment '统计月份', stat_date string comment '统计日期' 
) COMMENT '复购率统计' 
row format delimited fields terminated by '	' 
location '/warehouse/gmall/ads/ads_sale_tm_category1_stat_mn/';



insert into table ads_sale_tm_category1_stat_mn 
select 
    mn.sku_tm_id, 
    mn.sku_category1_id, 
    mn.sku_category1_name, 
    sum(if(mn.order_count>=1,1,0)) buycount, 
    sum(if(mn.order_count>=2,1,0)) buyTwiceLast, 
    sum(if(mn.order_count>=2,1,0))/sum( if(mn.order_count>=1,1,0)) buyTwiceLastRatio, 
    sum(if(mn.order_count>=3,1,0)) buy3timeLast, 
    sum(if(mn.order_count>=3,1,0))/sum( if(mn.order_count>=1,1,0)) buy3timeLastRatio, 
    date_format('2019-02-10' ,'yyyy-MM') stat_mn, 
    '2019-02-10' stat_date 
from 
( 
    select 
        user_id, 
        sd.sku_tm_id, 
        sd.sku_category1_id, 
        sd.sku_category1_name, 
        sum(order_count) order_count 
    from dws_sale_detail_daycount sd 
    where date_format(dt,'yyyy-MM')=date_format('2019-02-10' ,'yyyy-MM')
    --要group by 这么多字段才能获取具体的sku    
    group by user_id, sd.sku_tm_id, sd.sku_category1_id, sd.sku_category1_name 
) mn 
group by mn.sku_tm_id, mn.sku_category1_id, mn.sku_category1_name;