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--近30日各个品牌的复购率
--重复购买人数占购买人数的比例
--数据来源
--dws_trade_user_sku_order_nd
DROP TABLE IF EXISTS ads_repeat_purchase_by_tm;
CREATE EXTERNAL TABLE ads_repeat_purchase_by_tm
(
`dt` STRING COMMENT '统计日期',
`recent_days` BIGINT COMMENT '最近天数,30:最近30天',
`tm_id` STRING COMMENT '品牌ID',
`tm_name` STRING COMMENT '品牌名称',
`order_repeat_rate` DECIMAL(16, 2) COMMENT '复购率'
) COMMENT '最近30日各品牌复购率统计'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LOCATION '/warehouse/gmall/ads/ads_repeat_purchase_by_tm/';
insert overwrite table ads_repeat_purchase_by_tm
select *from ads_repeat_purchase_by_tm
union
select
"2022-06-08",
30,
tm_id,
tm_name,
sum(`if`(order_count>1,1,0))/count(user_id)*100
from (
select
user_id,
tm_id,
tm_name,
sum(order_count_30d)order_count
from dws_trade_user_sku_order_30d
group by user_id, tm_id, tm_name
)t
group by tm_id, tm_name ;
--各品牌下单统计
DROP TABLE IF EXISTS ads_order_stats_by_tm;
CREATE EXTERNAL TABLE ads_order_stats_by_tm
(
`dt` STRING COMMENT '统计日期',
`recent_days` BIGINT COMMENT '最近天数,1:最近1天,7:最近7天,30:最近30天',
`tm_id` STRING COMMENT '品牌ID',
`tm_name` STRING COMMENT '品牌名称',
`order_count` BIGINT COMMENT '下单数',
`order_user_count` BIGINT COMMENT '下单人数'
) COMMENT '各品牌商品下单统计'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LOCATION '/warehouse/gmall/ads/ads_order_stats_by_tm/';
insert overwrite table ads_order_stats_by_tm
select * from ads_order_stats_by_tm
union
select
*
from(
select
"2022-06-08",
1,
tm_id,
tm_name,
sum(order_count_1d),
count(distinct user_id)
from dws_trade_user_sku_order_1d
where dt="2022-06-08"
group by tm_id, tm_name
union all
--最近7日
select
"2022-06-08",
7,
tm_id,
tm_name,
sum(order_count_7d),
count(distinct user_id)
from dws_trade_user_sku_order_30d
where dt="2022-06-08"
and order_count_7d>0
group by tm_id, tm_name
union all
--最近30日
select
"2022-06-08",
30,
tm_id,
tm_name,
sum(order_count_30d),
count(distinct user_id)
from dws_trade_user_sku_order_30d
where dt="2022-06-08"
and order_count_30d>0
group by tm_id, tm_name
)t;
--融合
insert overwrite table ads_order_stats_by_tm
select * from ads_order_stats_by_tm
union
select
*
from(
select
"2022-06-08",
1,
tm_id,
tm_name,
sum(order_count_1d),
count(distinct user_id)
from dws_trade_user_sku_order_1d
where dt="2022-06-08"
group by tm_id, tm_name
union all
select
"2022-06-08",
day,
tm_id,
tm_name,
sum(order_count),
count(distinct user_id)
from (
select
"2022-06-08",
day,
tm_id,
tm_name,
user_id,
`if`(day=7,order_count_7d,order_count_30d)order_count
from dws_trade_user_sku_order_30d lateral view explode(array(7,30))tmp as day
where dt="2022-06-08"
)t where order_count>0
group by day, tm_id, tm_name )tm;
--各品类商品下单统计
DROP TABLE IF EXISTS ads_order_stats_by_cate;
CREATE EXTERNAL TABLE ads_order_stats_by_cate
(
`dt` STRING COMMENT '统计日期',
`recent_days` BIGINT COMMENT '最近天数,1:最近1天,7:最近7天,30:最近30天',
`category1_id` STRING COMMENT '一级品类ID',
`category1_name` STRING COMMENT '一级品类名称',
`category2_id` STRING COMMENT '二级品类ID',
`category2_name` STRING COMMENT '二级品类名称',
`category3_id` STRING COMMENT '三级品类ID',
`category3_name` STRING COMMENT '三级品类名称',
`order_count` BIGINT COMMENT '下单数',
`order_user_count` BIGINT COMMENT '下单人数'
) COMMENT '各品类商品下单统计'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LOCATION '/warehouse/gmall/ads/ads_order_stats_by_cate/';
insert overwrite table ads_order_stats_by_cate
select * from ads_order_stats_by_cate
union
select
*
from(
select
"2022-06-08",
1,
`category1_id` ,
`category1_name`,
`category2_id` ,
`category2_name`,
`category3_id` ,
`category3_name`,
sum(order_count_1d),
count(distinct user_id)
from dws_trade_user_sku_order_1d
where dt="2022-06-08"
group by `category1_id`, `category1_name`, `category2_id`, `category2_name`, `category3_id`, `category3_name`
union all
select
"2022-06-08",
day,
`category1_id` ,
`category1_name`,
`category2_id` ,
`category2_name`,
`category3_id` ,
`category3_name`,
sum(order_count),
count(distinct user_id)
from (
select
"2022-06-08",
day,
`category1_id` ,
`category1_name`,
`category2_id` ,
`category2_name`,
`category3_id` ,
`category3_name`,
user_id,
`if`(day=7,order_count_7d,order_count_30d)order_count
from dws_trade_user_sku_order_30d lateral view explode(array(7,30))tmp as day
where dt="2022-06-08"
)t where order_count>0
group by day, `category1_id`, `category1_name`, `category2_id`, `category2_name`, `category3_id`, `category3_name` )tm;
--各个品类商品购物车存量top3
--各品类商品
--购物车存量
--周期快照事实表
--1.(省份+商品)销量统计出来
--2.相同省份分组
--3.将组内的统计结果数据进行排序
--4.将组内排序的结果取前N条
DROP TABLE IF EXISTS ads_sku_cart_num_top3_by_cate;
CREATE EXTERNAL TABLE ads_sku_cart_num_top3_by_cate
(
`dt` STRING COMMENT '统计日期',
`category1_id` STRING COMMENT '一级品类ID',
`category1_name` STRING COMMENT '一级品类名称',
`category2_id` STRING COMMENT '二级品类ID',
`category2_name` STRING COMMENT '二级品类名称',
`category3_id` STRING COMMENT '三级品类ID',
`category3_name` STRING COMMENT '三级品类名称',
`sku_id` STRING COMMENT 'SKU_ID',
`sku_name` STRING COMMENT 'SKU名称',
`cart_num` BIGINT COMMENT '购物车中商品数量',
`rk` BIGINT COMMENT '排名'
) COMMENT '各品类商品购物车存量Top3'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LOCATION '/warehouse/gmall/ads/ads_sku_cart_num_top3_by_cate/';
insert overwrite table ads_sku_cart_num_top3_by_cate
select * from ads_sku_cart_num_top3_by_cate
union
select
"2022-06-08",
`category1_id` ,
`category1_name`,
`category2_id` ,
`category2_name`,
`category3_id` ,
`category3_name`,
`sku_id` ,
`sku_name` ,
`cart_num` ,
rk
from (
select
`category1_id` ,
`category1_name`,
`category2_id` ,
`category2_name`,
`category3_id` ,
`category3_name`,
`sku_id` ,
`sku_name` ,
`cart_num` ,
row_number() over (partition by category1_id ,category2_id,category3_id order by cart_num desc ) rk
from(
select
`category1_id` ,
`category1_name`,
`category2_id` ,
`category2_name`,
`category3_id` ,
`category3_name`,
`sku_id` ,
`sku_name` ,
`cart_num`
from (
select
sku_id,
sum(sku_num) cart_num
from dwd_trade_cart_full
where dt="2022-06-08"
group by sku_id
)cart
left join (select
id,
sku_name,
category1_id,
category1_name,
category2_id,
category2_name,
category3_id,
category3_name
from dim_sku_full
where dt="2022-06-08"
)sku on cart.sku_id=sku.id
)t
group by
`category1_id` ,
`category1_name`,
`category2_id` ,
`category2_name`,
`category3_id` ,
`category3_name`,
`sku_id` ,
`sku_name` ,
`cart_num`
)tmp
where rk<=3;
--各品牌商品收藏次数Top3
DROP TABLE IF EXISTS ads_sku_favor_count_top3_by_tm;
CREATE EXTERNAL TABLE ads_sku_favor_count_top3_by_tm
(
`dt` STRING COMMENT '统计日期',
`tm_id` STRING COMMENT '品牌ID',
`tm_name` STRING COMMENT '品牌名称',
`sku_id` STRING COMMENT 'SKU_ID',
`sku_name` STRING COMMENT 'SKU名称',
`favor_count` BIGINT COMMENT '被收藏次数',
`rk` BIGINT COMMENT '排名'
) COMMENT '各品牌商品收藏次数Top3'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LOCATION '/warehouse/gmall/ads/ads_sku_favor_count_top3_by_tm/';
insert overwrite table ads_sku_favor_count_top3_by_tm
select * from ads_sku_favor_count_top3_by_tm
union
select
"2022-06-08",
tm_id,
tm_name,
sku_id,
sku_name,
favor_add_count_1d,
rk
from (
select
tm_id,
tm_name,
sku_id,
sku_name,
favor_add_count_1d,
rank() over (partition by tm_id order by favor_add_count_1d desc )rk
from dws_interaction_sku_favor_add_1d
where dt="2022-06-08"
)td
where rk<=3;
--下单到支付时间间隔平均值
DROP TABLE IF EXISTS ads_order_to_pay_interval_avg;
CREATE EXTERNAL TABLE ads_order_to_pay_interval_avg
(
`dt` STRING COMMENT '统计日期',
`order_to_pay_interval_avg` BIGINT COMMENT '下单到支付时间间隔平均值,单位为秒'
) COMMENT '下单到支付时间间隔平均值统计'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LOCATION '/warehouse/gmall/ads/ads_order_to_pay_interval_avg/';
--用户年龄平均值:avg
--时间间隔平均值avg(datediff(支付时间,下单时间))
--累计快照事实表
--to_unix_timestamp把时间转为时间戳(秒)
insert overwrite table ads_order_to_pay_interval_avg
select * from ads_order_to_pay_interval_avg
union
select
"2022-06-08",
avg(to_unix_timestamp(payment_time)-to_unix_timestamp(order_time))
from dwd_trade_trade_flow_acc
where (dt="2022-06-08"or dt="9999-12-31") and payment_date_id="2022-06-08";
--各个省份交易统计
DROP TABLE IF EXISTS ads_order_by_province;
CREATE EXTERNAL TABLE ads_order_by_province
(
`dt` STRING COMMENT '统计日期',
`recent_days` BIGINT COMMENT '最近天数,1:最近1天,7:最近7天,30:最近30天',
`province_id` STRING COMMENT '省份ID',
`province_name` STRING COMMENT '省份名称',
`area_code` STRING COMMENT '地区编码',
`iso_code` STRING COMMENT '旧版国际标准地区编码,供可视化使用',
`iso_code_3166_2` STRING COMMENT '新版国际标准地区编码,供可视化使用',
`order_count` BIGINT COMMENT '订单数',
`order_total_amount` DECIMAL(16, 2) COMMENT '订单金额'
) COMMENT '各省份交易统计'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LOCATION '/warehouse/gmall/ads/ads_order_by_province/';
insert overwrite table ads_order_by_province
select *
from ads_order_by_province
union
select
"2022-06-08" ,
1 ,
`province_id` ,
`province_name` ,
`area_code` ,
`iso_code` ,
iso_3166_2 `iso_code_3166_2` ,
`order_count_1d` ,
`order_total_amount_1d`
from gmall.dws_trade_province_order_1d
where dt="2022-06-08"
union all
select
"2022-06-08" ,
7 ,
`province_id` ,
`province_name` ,
`area_code` ,
`iso_code` ,
iso_3166_2 `iso_code_3166_2` ,
`order_count_7d` ,
`order_total_amount_7d`
from gmall.dws_trade_province_order_nd
where dt="2022-06-08"
union all
select
"2022-06-08" ,
30 ,
`province_id` ,
`province_name` ,
`area_code` ,
`iso_code` ,
iso_3166_2 `iso_code_3166_2` ,
`order_count_30d` ,
`order_total_amount_30d`
from gmall.dws_trade_province_order_nd
where dt="2022-06-08";
insert overwrite table ads_order_by_province
select *
from ads_order_by_province
union
select *
from (
select
"2022-06-08" ,
1 ,
`province_id` ,
`province_name` ,
`area_code` ,
`iso_code` ,
iso_3166_2 `iso_code_3166_2` ,
`order_count_1d` ,
`order_total_amount_1d`
from gmall.dws_trade_province_order_1d
where dt="2022-06-08"
union
select
"2022-06-08" ,
day ,
`province_id` ,
`province_name` ,
`area_code` ,
`iso_code` ,
iso_3166_2 `iso_code_3166_2` ,
if(day=7,order_count_7d,order_count_30d) ,
if(day=7,order_total_amount_7d,order_total_amount_30d)
from gmall.dws_trade_province_order_nd lateral view explode(array(7,30)) tmp as day
where dt="2022-06-08"
)tmp;
--优惠券使用统计
DROP TABLE IF EXISTS ads_coupon_stats;
CREATE EXTERNAL TABLE ads_coupon_stats
(
`dt` STRING COMMENT '统计日期',
`coupon_id` STRING COMMENT '优惠券ID',
`coupon_name` STRING COMMENT '优惠券名称',
`used_count` BIGINT COMMENT '使用次数',
`used_user_count` BIGINT COMMENT '使用人数'
) COMMENT '优惠券使用统计'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LOCATION '/warehouse/gmall/ads/ads_coupon_stats/';
insert overwrite table ads_coupon_stats
select * from ads_coupon_stats
union
select
'2022-06-08' dt,
coupon_id,
coupon_name,
cast(sum(used_count_1d) as bigint),
cast(count(*) as bigint)
from dws_tool_user_coupon_coupon_used_1d
where dt='2022-06-08'
group by coupon_id,coupon_name;
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