[xiaobai@hadoop102 ~]$ vim dwt_to_ads.sh
#!/bin/bashAPP=gmall# 如果是輸入的日期按照取輸入日期；如果沒輸入日期取當(dāng)前時間的前一天if[ -n "$2"];thendo_date=$2elsedo_date=`date -d "-1 day" +%F`fiads_activity_stats="
insert overwrite table ${APP}.ads_activity_stats
select * from ${APP}.ads_activity_stats
union
select'$do_date' dt,t4.activity_id,activity_name,start_date,order_count,order_original_amount,order_final_amount,reduce_amount,reduce_rate
from
(selectactivity_id,activity_name,date_format(start_time,'yyyy-MM-dd') start_datefrom ${APP}.dim_activity_rule_infowhere dt='$do_date'and date_format(start_time,'yyyy-MM-dd')>=date_add('$do_date',-29)group by activity_id,activity_name,start_time
)t4
left join
(selectactivity_id,sum(order_count) order_count,sum(order_original_amount) order_original_amount,sum(order_final_amount) order_final_amount,sum(order_reduce_amount) reduce_amount,cast(sum(order_reduce_amount)/sum(order_original_amount)*100 as decimal(16,2)) reduce_ratefrom ${APP}.dwt_activity_topicwhere dt='$do_date'group by activity_id
)t5
on t4.activity_id=t5.activity_id;
"ads_coupon_stats="
insert overwrite table ${APP}.ads_coupon_stats
select * from ${APP}.ads_coupon_stats
union
select'$do_date' dt,t1.id,coupon_name,start_date,rule_name,get_count,order_count,expire_count,order_original_amount,order_final_amount,reduce_amount,reduce_rate
from
(selectid,coupon_name,date_format(start_time,'yyyy-MM-dd') start_date,casewhen coupon_type='3201' then concat('滿',condition_amount,'元減',benefit_amount,'元')when coupon_type='3202' then concat('滿',condition_num,'件打', (1-benefit_discount)*10,'折')when coupon_type='3203' then concat('減',benefit_amount,'元')end rule_namefrom ${APP}.dim_coupon_infowhere dt='$do_date'and date_format(start_time,'yyyy-MM-dd')>=date_add('$do_date',-29)
)t1
left join
(selectcoupon_id,get_count,order_count,expire_count,order_original_amount,order_final_amount,order_reduce_amount reduce_amount,cast(order_reduce_amount/order_original_amount as decimal(16,2)) reduce_ratefrom ${APP}.dwt_coupon_topicwhere dt='$do_date'
)t2
on t1.id=t2.coupon_id;
"ads_order_by_province="
insert overwrite table ${APP}.ads_order_by_province
select * from ${APP}.ads_order_by_province
union
selectdt,recent_days,province_id,province_name,area_code,iso_code,iso_3166_2,order_count,order_amount
from
(select'$do_date' dt,recent_days,province_id,sum(order_count) order_count,sum(order_amount) order_amountfrom(selectrecent_days,province_id,casewhen recent_days=1 then order_last_1d_countwhen recent_days=7 then order_last_7d_countwhen recent_days=30 then order_last_30d_countend order_count,casewhen recent_days=1 then order_last_1d_final_amountwhen recent_days=7 then order_last_7d_final_amountwhen recent_days=30 then order_last_30d_final_amountend order_amountfrom ${APP}.dwt_area_topic lateral view explode(Array(1,7,30)) tmp as recent_dayswhere dt='$do_date')t1group by recent_days,province_id
)t2
join ${APP}.dim_base_province t3
on t2.province_id=t3.id;
"ads_order_spu_stats="
insert overwrite table ${APP}.ads_order_spu_stats
select * from ${APP}.ads_order_spu_stats
union
select'$do_date' dt,recent_days,spu_id,spu_name,tm_id,tm_name,category3_id,category3_name,category2_id,category2_name,category1_id,category1_name,sum(order_count),sum(order_amount)
from
(selectrecent_days,sku_id,casewhen recent_days=1 then order_last_1d_countwhen recent_days=7 then order_last_7d_countwhen recent_days=30 then order_last_30d_countend order_count,casewhen recent_days=1 then order_last_1d_final_amountwhen recent_days=7 then order_last_7d_final_amountwhen recent_days=30 then order_last_30d_final_amountend order_amountfrom ${APP}.dwt_sku_topic lateral view explode(Array(1,7,30)) tmp as recent_dayswhere dt='$do_date'
)t1
left join
(selectid,spu_id,spu_name,tm_id,tm_name,category3_id,category3_name,category2_id,category2_name,category1_id,category1_namefrom ${APP}.dim_sku_infowhere dt='$do_date'
)t2
on t1.sku_id=t2.id
group by recent_days,spu_id,spu_name,tm_id,tm_name,category3_id,category3_name,category2_id,category2_name,category1_id,category1_name;
"ads_order_total="
insert overwrite table ${APP}.ads_order_total
select * from ${APP}.ads_order_total
union
select'$do_date',recent_days,sum(order_count),sum(order_final_amount) order_final_amount,sum(if(order_final_amount>0,1,0)) order_user_count
from
(selectrecent_days,user_id,case when recent_days=0 then order_countwhen recent_days=1 then order_last_1d_countwhen recent_days=7 then order_last_7d_countwhen recent_days=30 then order_last_30d_countend order_count,case when recent_days=0 then order_final_amountwhen recent_days=1 then order_last_1d_final_amountwhen recent_days=7 then order_last_7d_final_amountwhen recent_days=30 then order_last_30d_final_amountend order_final_amountfrom ${APP}.dwt_user_topic lateral view explode(Array(1,7,30)) tmp as recent_dayswhere dt='$do_date'
)t1
group by recent_days;
"ads_page_path="
insert overwrite table ${APP}.ads_page_path
select * from ${APP}.ads_page_path
union
select'$do_date',recent_days,source,target,count(*)
from
(selectrecent_days,concat('step-',step,':',source) source,concat('step-',step+1,':',target) targetfrom(selectrecent_days,page_id source,lead(page_id,1,null) over (partition by recent_days,session_id order by ts) target,row_number() over (partition by recent_days,session_id order by ts) stepfrom(selectrecent_days,last_page_id,page_id,ts,concat(mid_id,'-',last_value(if(last_page_id is null,ts,null),true) over (partition by mid_id,recent_days order by ts)) session_idfrom ${APP}.dwd_page_log lateral view explode(Array(1,7,30)) tmp as recent_dayswhere dt>=date_add('$do_date',-30)and dt>=date_add('$do_date',-recent_days+1))t2)t3
)t4
group by recent_days,source,target;
"ads_repeat_purchase="
insert overwrite table ${APP}.ads_repeat_purchase
select * from ${APP}.ads_repeat_purchase
union
select'$do_date' dt,recent_days,tm_id,tm_name,cast(sum(if(order_count>=2,1,0))/sum(if(order_count>=1,1,0))*100 as decimal(16,2))
from
(selectrecent_days,user_id,tm_id,tm_name,sum(order_count) order_countfrom(selectrecent_days,user_id,sku_id,count(*) order_countfrom ${APP}.dwd_order_detail lateral view explode(Array(1,7,30)) tmp as recent_dayswhere dt>=date_add('$do_date',-29)and dt>=date_add('$do_date',-recent_days+1)group by recent_days, user_id,sku_id)t1left join(selectid,tm_id,tm_namefrom ${APP}.dim_sku_infowhere dt='$do_date')t2on t1.sku_id=t2.idgroup by recent_days,user_id,tm_id,tm_name
)t3
group by recent_days,tm_id,tm_name;
"ads_user_action="
with
tmp_page as
(select'$do_date' dt,recent_days,sum(if(array_contains(pages,'home'),1,0)) home_count,sum(if(array_contains(pages,'good_detail'),1,0)) good_detail_countfrom(selectrecent_days,mid_id,collect_set(page_id) pagesfrom(selectdt,mid_id,page.page_idfrom ${APP}.dws_visitor_action_daycount lateral view explode(page_stats) tmp as pagewhere dt>=date_add('$do_date',-29)and page.page_id in('home','good_detail'))t1 lateral view explode(Array(1,7,30)) tmp as recent_dayswhere dt>=date_add('$do_date',-recent_days+1)group by recent_days,mid_id)t2group by recent_days
),
tmp_cop as
(select'$do_date' dt,recent_days,sum(if(cart_count>0,1,0)) cart_count,sum(if(order_count>0,1,0)) order_count,sum(if(payment_count>0,1,0)) payment_countfrom(selectrecent_days,user_id,casewhen recent_days=1 then cart_last_1d_countwhen recent_days=7 then cart_last_7d_countwhen recent_days=30 then cart_last_30d_countend cart_count,casewhen recent_days=1 then order_last_1d_countwhen recent_days=7 then order_last_7d_countwhen recent_days=30 then order_last_30d_countend order_count,casewhen recent_days=1 then payment_last_1d_countwhen recent_days=7 then payment_last_7d_countwhen recent_days=30 then payment_last_30d_countend payment_countfrom ${APP}.dwt_user_topic lateral view explode(Array(1,7,30)) tmp as recent_dayswhere dt='$do_date')t1group by recent_days
)
insert overwrite table ${APP}.ads_user_action
select * from ${APP}.ads_user_action
union
selecttmp_page.dt,tmp_page.recent_days,home_count,good_detail_count,cart_count,order_count,payment_count
from tmp_page
join tmp_cop
on tmp_page.recent_days=tmp_cop.recent_days;
"ads_user_change="
insert overwrite table ${APP}.ads_user_change
select * from ${APP}.ads_user_change
union
selectchurn.dt,user_churn_count,user_back_count
from
(select'$do_date' dt,count(*) user_churn_countfrom ${APP}.dwt_user_topicwhere dt='$do_date'and login_date_last=date_add('$do_date',-7)
)churn
join
(select'$do_date' dt,count(*) user_back_countfrom(selectuser_id,login_date_lastfrom ${APP}.dwt_user_topicwhere dt='$do_date'and login_date_last='$do_date')t1join(selectuser_id,login_date_last login_date_previousfrom ${APP}.dwt_user_topicwhere dt=date_add('$do_date',-1))t2on t1.user_id=t2.user_idwhere datediff(login_date_last,login_date_previous)>=8
)back
on churn.dt=back.dt;
"ads_user_retention="
insert overwrite table ${APP}.ads_user_retention
select * from ${APP}.ads_user_retention
union
select'$do_date',login_date_first create_date,datediff('$do_date',login_date_first) retention_day,sum(if(login_date_last='$do_date',1,0)) retention_count,count(*) new_user_count,cast(sum(if(login_date_last='$do_date',1,0))/count(*)*100 as decimal(16,2)) retention_rate
from ${APP}.dwt_user_topic
where dt='$do_date'
and login_date_first>=date_add('$do_date',-7)
and login_date_first<'$do_date'
group by login_date_first;
"ads_user_total="
insert overwrite table ${APP}.ads_user_total
select * from ${APP}.ads_user_total
union
select'$do_date',recent_days,sum(if(login_date_first>=recent_days_ago,1,0)) new_user_count,sum(if(order_date_first>=recent_days_ago,1,0)) new_order_user_count,sum(order_final_amount) order_final_amount,sum(if(order_final_amount>0,1,0)) order_user_count,sum(if(login_date_last>=recent_days_ago and order_final_amount=0,1,0)) no_order_user_count
from
(selectrecent_days,user_id,login_date_first,login_date_last,order_date_first,case when recent_days=0 then order_final_amountwhen recent_days=1 then order_last_1d_final_amountwhen recent_days=7 then order_last_7d_final_amountwhen recent_days=30 then order_last_30d_final_amountend order_final_amount,if(recent_days=0,'1970-01-01',date_add('$do_date',-recent_days+1)) recent_days_agofrom ${APP}.dwt_user_topic lateral view explode(Array(0,1,7,30)) tmp as recent_dayswhere dt='$do_date'
)t1
group by recent_days;
"ads_visit_stats="
insert overwrite table ${APP}.ads_visit_stats
select * from ${APP}.ads_visit_stats
union
select'$do_date' dt,is_new,recent_days,channel,count(distinct(mid_id)) uv_count,cast(sum(duration)/1000 as bigint) duration_sec,cast(avg(duration)/1000 as bigint) avg_duration_sec,sum(page_count) page_count,cast(avg(page_count) as bigint) avg_page_count,count(*) sv_count,sum(if(page_count=1,1,0)) bounce_count,cast(sum(if(page_count=1,1,0))/count(*)*100 as decimal(16,2)) bounce_rate
from
(selectsession_id,mid_id,is_new,recent_days,channel,count(*) page_count,sum(during_time) durationfrom(selectmid_id,channel,recent_days,is_new,last_page_id,page_id,during_time,concat(mid_id,'-',last_value(if(last_page_id is null,ts,null),true) over (partition by recent_days,mid_id order by ts)) session_idfrom(selectmid_id,channel,last_page_id,page_id,during_time,ts,recent_days,if(visit_date_first>=date_add('$do_date',-recent_days+1),'1','0') is_newfrom(selectt1.mid_id,t1.channel,t1.last_page_id,t1.page_id,t1.during_time,t1.dt,t1.ts,t2.visit_date_firstfrom(selectmid_id,channel,last_page_id,page_id,during_time,dt,tsfrom ${APP}.dwd_page_logwhere dt>=date_add('$do_date',-30))t1left join(selectmid_id,visit_date_firstfrom ${APP}.dwt_visitor_topicwhere dt='$do_date')t2on t1.mid_id=t2.mid_id)t3 lateral view explode(Array(1,7,30)) tmp as recent_dayswhere dt>=date_add('$do_date',-recent_days+1))t4)t5group by session_id,mid_id,is_new,recent_days,channel
)t6
group by is_new,recent_days,channel;
"case$1in"ads_activity_stats")hive -e "$ads_activity_stats";;"ads_coupon_stats")hive -e "$ads_coupon_stats";;"ads_order_by_province")hive -e "$ads_order_by_province";;"ads_order_spu_stats")hive -e "$ads_order_spu_stats";;"ads_order_total")hive -e "$ads_order_total";;"ads_page_path")hive -e "$ads_page_path";;"ads_repeat_purchase")hive -e "$ads_repeat_purchase";;"ads_user_action")hive -e "$ads_user_action";;"ads_user_change")hive -e "$ads_user_change";;"ads_user_retention")hive -e "$ads_user_retention";;"ads_user_total")hive -e "$ads_user_total";;"ads_visit_stats")hive -e "$ads_visit_stats";;"all")hive -e "$ads_activity_stats$ads_coupon_stats$ads_order_by_province$ads_order_spu_stats$ads_order_total$ads_page_path$ads_repeat_purchase$ads_user_action$ads_user_change$ads_user_retention$ads_user_total$ads_visit_stats";;esac
權(quán)限：
[xiaobai@hadoop102 ~]$ chmod777 dwt_to_ads.sh
執(zhí)行：
[xiaobai@hadoop102 ~]$ dwt_to_ads.sh all 2020-06-14
Sqoop will by default import NULL values as string null. Hive is however using string \N to denote NULL values and therefore predicates dealing with NULL(like IS NULL) will not work correctly. You should append parameters --null-string and --null-non-string incase of import job or --input-null-string and --input-null-non-string incase of an export job if you wish to properly preserve NULL values. Because sqoop is using those parameters in generated code, you need to properly escape value \N to \\N:
