update codes

conf/en-cn.properties

@@ -8,4 +8,6 @@ meigou-detail-page-dispense-pv=美购详情页分发pv
 meigou-detail-page-dispense-uv=美购详情页分发uv
 meigou-detail-page-source-pv=美购详情页来源pv
 meigou-detail-page-source-uv=美购详情页来源uv
-daily_content_data=内容日报-新
\ No newline at end of file
+daily_content_data=内容日报-新
+search_click_path=分搜索入口的搜索框点击数据
+daily_recommend_strategy=首页推荐策略日报

jobs/daily_recommend_strategy/step1_1.job

+#step1_1.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_device_day_active_status
\ No newline at end of file

jobs/daily_recommend_strategy/step1_10.job

+#step1_10.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_device_history_detail
\ No newline at end of file

jobs/daily_recommend_strategy/step1_2.job

+#step1_2.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_community_precise_exposure_detail
\ No newline at end of file

jobs/daily_recommend_strategy/step1_3.job

+#step1_3.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online bl_hdfs_maidian_updates
\ No newline at end of file

jobs/daily_recommend_strategy/step1_4.job

+#step1_4.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive ml ml_d_ct_dv_devicespam_d
\ No newline at end of file

jobs/daily_recommend_strategy/step1_5.job

+#step1_5.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive dim dim_device_user_staff
\ No newline at end of file

jobs/daily_recommend_strategy/step1_6.job

+#step1_6.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_user_updates
\ No newline at end of file

jobs/daily_recommend_strategy/step1_7.job

+#step1_7.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online tl_hdfs_doctor_view
\ No newline at end of file

jobs/daily_recommend_strategy/step1_8.job

+#step1_8.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive ml ml_c_ct_ui_user_dimen_d
\ No newline at end of file

jobs/daily_recommend_strategy/step1_9.job

+#step1_9.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_user_history_detail
\ No newline at end of file

jobs/daily_recommend_strategy/step2.job

+#step2.job
+type=command
+dependencies=step1_1,step1_2,step1_3,step1_4,step1_5,step1_6,step1_7,step1_8,step1_9,step1_10
+command=curl -X GET http://localhost:8553/api/report/execSql?name=daily_recommend_strategy_insert
\ No newline at end of file

jobs/daily_recommend_strategy/step3.job

+#step3.job
+type=command
+dependencies=step3
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive pm tl_pm_recommend_strategy_d
\ No newline at end of file

jobs/daily_recommend_strategy/step4.job

+#step4.job
+type=command
+dependencies=step3
+command=curl -X GET http://localhost:8553/api/report/sendEmail/weiyimin@igengmei.com/zhaojianwei@igengmei.com/daily_recommend_strategy
\ No newline at end of file

sqls/daily_recommend_strategy/daily_recommend_strategy.sql

+SELECT
+      day_id as `日期`,
+      device_os_type as `设备类型`,
+      active_type as `活跃类型`,
+      card_content_type as `卡片类型`,
+      recommend_type as `推荐类型`,
+      home_ctr as `首页卡片点击PV/首页卡片精准曝光PV`,
+      second_rate as `来自首页推荐内容卡片的的总商业二跳pv/首页卡片精准曝光PV`,
+      first_rate as `来自首页推荐内容卡片的的总商业二跳pv/首页卡片点击PV`,
+      card_click as `首页卡片点击PV`,
+      card_exposure as `首页卡片精准曝光PV`,
+      total_second_click as `来自I的总商业二跳pv（包含M列到T列）`,
+      avg_page_stay as `来自I的单PV平均浏览时长`,
+      navbar_search as `来自I的搜索框+搜索按钮点击PV`,
+      highlight_word as `来自I的文内搜索点击PV`,
+      self_welfare_card as `来自I的商品卡片点击PV`,
+      recommend_welfare_card as `来自I的推荐商品+查看全部商品点击pv`,
+      recommend_content_card as `来自I的推荐内容点击pv`,
+      '未配置' as `来自I的推荐专题点击pv`,
+      '未上线' as `来自I的转诊点击pv`,
+      '未上线' as `来自I的视频面诊点击pv`
+FROM pm.tl_pm_recommend_strategy_d
+WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
\ No newline at end of file

sqls/daily_recommend_strategy_insert/daily_recommend_strategy_insert.sql

+INSERT OVERWRITE TABLE pm.tl_pm_recommend_strategy_d PARTITION (PARTITION_DAY =#partition_day)
+
+SELECT
+      t1.partition_date as day_id,
+      t1.device_os_type as device_os_type,
+      t1.active_type as active_type,
+      t2.card_content_type as card_content_type,
+      t2.recommend_type as recommend_type,
+      NVL(concat(round(sum(t3.session_pv)/sum(t2.session_pv)*100,2),'%'),0) as home_ctr,
+      NVL(concat(round((NVL(sum(navbar_pv),0)+NVL(sum(highlight_pv),0)
+        +NVL(sum(recom_wel_pv),0)+NVL(sum(recom_content_pv),0))/sum(t2.session_pv)*100,2),'%'),0) as second_rate,
+      NVL(concat(round((NVL(sum(navbar_pv),0)+NVL(sum(highlight_pv),0)
+        +NVL(sum(recom_wel_pv),0)+NVL(sum(recom_content_pv),0))/sum(t3.session_pv)*100,2),'%'),0) as first_rate,
+      NVL(sum(t3.session_pv),0) as card_click,
+      NVL(sum(t2.session_pv),0) as card_exposure,
+      NVL(sum(navbar_pv),0)+NVL(sum(highlight_pv),0)+NVL(sum(self_wel_pv),0)+NVL(sum(recom_wel_pv),0)+NVL(sum(recom_content_pv),0) as total_second_click,
+      NVL(round(sum(page_stay)/count(distinct t4.cl_id)/60,2),0) as avg_page_stay,
+      NVL(sum(navbar_pv),0) as navbar_search,
+      NVL(sum(highlight_pv),0) as highlight_word,
+      NVL(sum(self_wel_pv),0) as self_welfare_card,
+      NVL(sum(recom_wel_pv),0)-NVL(sum(self_wel_pv),0) as recommend_welfare_card,--需要排除关联的商品卡片点击
+      NVL(sum(recom_content_pv),0) as recommend_content_card,
+      NULL as recommend_special_card,
+      NULL as transfer_card,
+      NULL as video_consultation
+FROM
+      (
+         SELECT partition_date
+               ,device_os_type
+               ,CASE WHEN active_type = '4'  THEN '老活'
+                       WHEN active_type  IN ('1','2')  THEN '新增' END AS active_type
+               ,device_id
+         FROM online.ml_device_day_active_status
+         WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+         AND partition_date<regexp_replace((current_date),'-','')
+         AND active_type IN ('1','2','4')
+         AND first_channel_source_type not IN ('yqxiu1','yqxiu2','yqxiu3','yqxiu4','yqxiu5','mxyc1','mxyc2','mxyc3'
+                 ,'wanpu','jinshan','jx','maimai','zhuoyi','huatian','suopingjingling','mocha','mizhe','meika','lamabang'
+                 ,'js-az1','js-az2','js-az3','js-az4','js-az5','jfq-az1','jfq-az2','jfq-az3','jfq-az4','jfq-az5','toufang1'
+                 ,'toufang2','toufang3','toufang4','toufang5','toufang6','TF-toufang1','TF-toufang2','TF-toufang3','TF-toufang4'
+                 ,'TF-toufang5','tf-toufang1','tf-toufang2','tf-toufang3','tf-toufang4','tf-toufang5','benzhan','promotion_aso100'
+                 ,'promotion_qianka','promotion_xiaoyu','promotion_dianru','promotion_malioaso','promotion_malioaso-shequ'
+                 ,'promotion_shike','promotion_julang_jl03','promotion_zuimei')
+         AND first_channel_source_type not LIKE 'promotion\_jf\_%'
+      )t1
+      JOIN
+      (--精准曝光，卡片id和session_id去重
+        SELECT  partition_date,
+                card_content_type,
+                cl_id,
+                recommend_type,
+                card_id,
+                count(distinct app_session_id) as session_pv
+        FROM
+        (
+           SELECT partition_date,
+                  cl_id,
+                  case when card_content_type in ('qa','answer') then 'qa' else card_content_type end as card_content_type,
+                  CASE WHEN transaction_type in ('ctr')  THEN 'ctr预估'
+                       WHEN transaction_type in ('cvr') THEN 'cvr预估'
+                       WHEN transaction_type in ('-1','smr') THEN 'smr'
+                       when transaction_type in ('pgc','hotspot') then '热点卡片'
+                       when transaction_type in ('newdata') then '保量卡片'
+                  END AS recommend_type,
+                  card_id,
+                  app_session_id
+           from online.ml_community_precise_exposure_detail
+           WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+           AND partition_date<regexp_replace((current_date),'-','')
+           AND action in ('page_precise_exposure','home_choiceness_card_exposure') --7745版本action改为page_precise_exposure
+           AND is_exposure = '1'  ----精准曝光
+           AND page_name ='home'
+           AND tab_name = '精选'
+           AND transaction_type in ('-1','ctr','smr','cvr','hotspot','pgc','newdata')
+           AND card_content_type in ('qa','diary','user_post','answer')
+           group by partition_date,
+                  case when card_content_type in ('qa','answer') then 'qa' else card_content_type end,
+                  cl_id,
+                  CASE WHEN transaction_type in ('ctr')  THEN 'ctr预估'
+                       WHEN transaction_type in ('cvr') THEN 'cvr预估'
+                       WHEN transaction_type in ('-1','smr') THEN 'smr'
+                       when transaction_type in ('pgc','hotspot') then '热点卡片'
+                       when transaction_type in ('newdata') then '保量卡片' END,
+                  card_id,
+                  app_session_id
+        )a
+        group by partition_date,card_content_type,cl_id,recommend_type,card_id
+      )t2
+      on t1.device_id=t2.cl_id and t1.partition_date=t2.partition_date
+      LEFT JOIN
+      (--卡片，卡片id和session_id去重
+        SELECT  partition_date,
+                card_content_type,
+                cl_id,
+                recommend_type,
+                card_id,
+                count(distinct app_session_id) as session_pv
+        FROM
+        (
+           SELECT partition_date,
+                  cl_id,
+                  case when params['card_content_type'] in ('qa','answer') then 'qa' else params['card_content_type'] end as card_content_type,
+                  CASE WHEN params['transaction_type'] in ('ctr')  THEN 'ctr预估'
+                       WHEN params['transaction_type'] in ('cvr') THEN 'cvr预估'
+                       WHEN params['transaction_type'] in ('-1','smr') THEN 'smr'
+                       when params['transaction_type'] in ('pgc','hotspot') then '热点卡片'
+                       when params['transaction_type'] in ('newdata') then '保量卡片'
+                  END AS recommend_type,
+                  params['card_id'] as card_id,
+                  app_session_id
+           from online.bl_hdfs_maidian_updates
+           WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+           AND partition_date<regexp_replace((current_date),'-','')
+           AND action='on_click_card'
+           AND params['page_name'] ='home'
+           AND params['tab_name'] = '精选'
+           AND params['transaction_type'] in ('-1','ctr','smr','cvr','hotspot','pgc','newdata')
+           AND params['card_content_type'] in ('qa','diary','user_post','answer')
+           GROUP BY partition_date,
+                  cl_id,
+                  case when params['card_content_type'] in ('qa','answer') then 'qa' else params['card_content_type'] end,
+                  CASE WHEN params['transaction_type'] in ('ctr')  THEN 'ctr预估'
+                       WHEN params['transaction_type'] in ('cvr') THEN 'cvr预估'
+                       WHEN params['transaction_type'] in ('-1','smr') THEN 'smr'
+                       when params['transaction_type'] in ('pgc','hotspot') then '热点卡片'
+                       when params['transaction_type'] in ('newdata') then '保量卡片' END,
+                  params['card_id'],
+                  app_session_id
+        )a
+        group by partition_date,card_content_type,cl_id,recommend_type,card_id
+      )t3
+      on t2.partition_date=t3.partition_date
+        and t2.cl_id=t3.cl_id
+        and t2.card_id=t3.card_id
+        and t2.card_content_type=t3.card_content_type
+        and t2.recommend_type=t3.recommend_type
+      LEFT JOIN
+      (--页面浏览时长
+          SELECT  partition_date,cl_id,business_id,
+                  case when page_name in ('diary_detail','topic_detail') then 'diary'
+                       when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                       when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end as page_name,
+                  sum(page_stay) as page_stay
+          FROM online.bl_hdfs_maidian_updates
+          WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+          AND partition_date<regexp_replace((current_date),'-','')
+          AND action='page_view'
+          AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail')
+          AND referrer='home'
+          AND page_stay>=0 AND page_stay<1000
+          GROUP BY partition_date,cl_id,business_id,
+                   case when page_name in ('diary_detail','topic_detail') then 'diary'
+                       when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                       when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end
+      )t4
+      on t4.partition_date=t3.partition_date
+      and t4.cl_id=t3.cl_id
+      and t4.business_id=t3.card_id
+      and t4.page_name=t3.card_content_type
+      LEFT JOIN
+      (--搜索框和点击行为
+          SELECT partition_date,cl_id,business_id,
+                 case when page_name in ('diary_detail','topic_detail') then 'diary'
+                       when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                       when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end as page_name,
+                 count(1) as navbar_pv
+          FROM online.bl_hdfs_maidian_updates
+          WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+          AND partition_date<regexp_replace((current_date),'-','')
+          AND action in ('on_click_navbar_search','do_search')
+          AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail')
+          AND (referrer='home' or
+                  (params['referrer_link'] like '%[%' and
+                   json_split(params['referrer_link'])[size(json_split(params['referrer_link']))-1]='home'))
+          group by partition_date,cl_id,business_id,
+                 case when page_name in ('diary_detail','topic_detail') then 'diary'
+                       when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                       when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end
+      )t5
+      on t5.partition_date=t3.partition_date
+      and t5.cl_id=t3.cl_id
+      and t5.business_id=t3.card_id
+      and t5.page_name=t3.card_content_type
+      LEFT JOIN
+      (--点击高亮词
+          SELECT partition_date,cl_id,business_id,
+                 case when page_name in ('diary_detail','topic_detail') then 'diary'
+                       when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                       when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end as page_name,
+                 count(1) as highlight_pv
+          FROM online.bl_hdfs_maidian_updates
+          WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+          AND partition_date<regexp_replace((current_date),'-','')
+          AND action='on_click_card'
+          and params['card_type']='highlight_word'
+          AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail')
+          AND (referrer='home' or
+                  (params['referrer_link'] like '%[%' and
+                   json_split(params['referrer_link'])[size(json_split(params['referrer_link']))-1]='home'))
+          group by partition_date,cl_id,business_id,
+                 case when page_name in ('diary_detail','topic_detail') then 'diary'
+                       when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                       when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end
+      )t6
+      on t6.partition_date=t3.partition_date
+      and t6.cl_id=t3.cl_id
+      and t6.business_id=t3.card_id
+      and t6.page_name=t3.card_content_type
+      LEFT JOIN
+      (--关联的美购卡片
+        SELECT partition_date,cl_id,business_id,page_name,count(distinct app_session_id) as self_wel_pv
+        FROM
+        (
+            SELECT  partition_date,cl_id,business_id,app_session_id,params['card_id'] as card_id,
+                    case when page_name in ('diary_detail','topic_detail') then 'diary'
+                         when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                         when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end as page_name,
+                    count(1) as pv
+            FROM online.bl_hdfs_maidian_updates
+            WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+            AND partition_date<regexp_replace((current_date),'-','')
+            AND (get_json_object(params['extra_param'], '$.type')='交互栏'
+                   or get_json_object(params['extra_param'], '$.jump_from')='msg_link')
+            AND action='on_click_card'
+            and params['card_content_type']='service'
+            AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail')
+            AND (referrer='home' or
+                  (params['referrer_link'] like '%[%' and
+                   json_split(params['referrer_link'])[size(json_split(params['referrer_link']))-1]='home'))
+            group by partition_date,cl_id,business_id,app_session_id,params['card_id'],
+                    case when page_name in ('diary_detail','topic_detail') then 'diary'
+                         when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                         when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end
+        )a
+        group by partition_date,cl_id,business_id,page_name
+      )t7
+      on t7.partition_date=t3.partition_date
+      and t7.cl_id=t3.cl_id
+      and t7.business_id=t3.card_id
+      and t7.page_name=t3.card_content_type
+      LEFT JOIN
+      (--推荐的美购卡片(需要排除作者消费的美购)
+        SELECT partition_date,cl_id,business_id,page_name,count(distinct app_session_id) as recom_wel_pv
+        FROM
+        (
+            SELECT  partition_date,cl_id,business_id,app_session_id,params['card_id'] as card_id,
+                    case when page_name in ('diary_detail','topic_detail') then 'diary'
+                         when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                         when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end as page_name,
+                    count(1) as service_pv
+            FROM online.bl_hdfs_maidian_updates
+            WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+            AND partition_date<regexp_replace((current_date),'-','')
+            AND (action='on_click_card'and  params['card_content_type']='service'
+                   or action='on_click_button' and params['button_name']='unfold')
+            AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail')
+            AND (referrer='home' or
+                  (params['referrer_link'] like '%[%' and
+                   json_split(params['referrer_link'])[size(json_split(params['referrer_link']))-1]='home'))
+            group by partition_date,cl_id,business_id,app_session_id,params['card_id'],
+                    case when page_name in ('diary_detail','topic_detail') then 'diary'
+                         when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                         when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end
+        )a
+        group by partition_date,cl_id,business_id,page_name
+      )t8
+      on t8.partition_date=t3.partition_date
+      and t8.cl_id=t3.cl_id
+      and t8.business_id=t3.card_id
+      and t8.page_name=t3.card_content_type
+      LEFT JOIN
+      (--推荐的内容卡片
+        SELECT partition_date,cl_id,business_id,page_name,count(distinct app_session_id) as recom_content_pv
+        FROM
+        (
+            SELECT  partition_date,cl_id,business_id,app_session_id,params['card_id'] as card_id,
+                    case when page_name in ('diary_detail','topic_detail') then 'diary'
+                         when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                         when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end as page_name,
+                    count(1) as service_pv
+            FROM online.bl_hdfs_maidian_updates
+            WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+            AND partition_date<regexp_replace((current_date),'-','')
+            AND action='on_click_card'
+            and params['card_content_type'] in ('qa','diary','user_post','answer')
+            AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail')
+            AND (referrer='home' or
+                  (params['referrer_link'] like '%[%' and
+                   json_split(params['referrer_link'])[size(json_split(params['referrer_link']))-1]='home'))
+            group by partition_date,cl_id,business_id,app_session_id,params['card_id'],
+                    case when page_name in ('diary_detail','topic_detail') then 'diary'
+                         when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
+                         when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa' else null end
+        )a
+        group by partition_date,cl_id,business_id,page_name
+      )t9
+      on t9.partition_date=t3.partition_date
+      and t9.cl_id=t3.cl_id
+      and t9.business_id=t3.card_id
+      and t9.page_name=t3.card_content_type
+      LEFT JOIN
+      (
+          select distinct device_id
+          from ml.ml_d_ct_dv_devicespam_d  --去除机构刷单设备，即作弊设备（浏览和曝光事件去除）
+          WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+
+          union all
+
+          select distinct device_id
+          from dim.dim_device_user_staff   --去除内网用户
+      )spam_pv
+      on spam_pv.device_id=t2.cl_id
+      LEFT JOIN
+      (
+        SELECT partition_date,device_id
+        FROM
+        (--找出user_id当天活跃的第一个设备id
+          SELECT user_id,partition_date,
+                  if(size(device_list) > 0, device_list [ 0 ], '') AS device_id
+            FROM online.ml_user_updates
+            WHERE partition_date>=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+            AND partition_date<regexp_replace((current_date),'-','')
+        )t1
+        JOIN
+        (  --医生账号
+          SELECT distinct user_id
+          FROM online.tl_hdfs_doctor_view
+          WHERE partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+
+          --马甲账号/模特用户
+          UNION ALL
+          SELECT user_id
+          FROM ml.ml_c_ct_ui_user_dimen_d
+          WHERE partition_day = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+          AND (is_puppet = 'true' or is_classifyuser = 'true')
+
+          UNION ALL
+          --公司内网覆盖用户
+          select distinct user_id
+          from dim.dim_device_user_staff
+
+          UNION ALL
+          --登陆过医生设备
+          SELECT distinct t1.user_id
+            FROM
+            (
+                SELECT user_id, v.device_id as device_id
+                FROM online.ml_user_history_detail
+                    LATERAL VIEW EXPLODE(device_history_list) v AS device_id
+                WHERE partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+            ) t1
+            JOIN
+            (
+                SELECT device_id
+                FROM online.ml_device_history_detail
+                WHERE partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+                AND is_login_doctor = '1'
+            ) t2
+                ON t1.device_id = t2.device_id
+        )t2
+        on t1.user_id=t2.user_id
+        group by partition_date,device_id
+      )dev
+      on t2.partition_date=dev.partition_date and t2.cl_id=dev.device_id
+      WHERE spam_pv.device_id IS NULL
+      and dev.device_id is null
+      GROUP BY t1.partition_date,t1.device_os_type,t1.active_type,t2.card_content_type,t2.recommend_type
+      order by day_id desc,device_os_type,active_type,card_content_type,recommend_type
+
+