Merge branch 'weiyimin' into 'master'

Weiyimin

See merge request zhaojianwei/bi-report!12

conf/en-cn.properties

-demo=示例程序-demo
-demo_bak=示例程序-demo_bak
-demo_param=带参数的示例程序
-demo_java=JAVA实例程序
-
-meigou-detail-page=美购详情页
-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
-search_click_path=分搜索入口的搜索框点击数据
-search_result_click_rate=分搜索词转化率数据
-search_input_type=分搜索方式近7天数据
-daily_recommend_strategy=首页推荐策略日报

jobs/daily_content_data/step3.job

-#step3.job
-type=command
-dependencies=step2
-command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive pm tl_pm_content_d
\ No newline at end of file

jobs/daily_content_data/step4.job

-#step4.job
-type=command
-dependencies=step3
-command=curl -X GET http://localhost:8553/api/report/sendEmail/liudi@igengmei.com,wangxin@igengmei.com,malinxi@igengmei.com,dengguangyu@igengmei.com/weiyimin@igengmei.com,zhaojianwei@igengmei.com,zhaofei@igengmei.com,yindanlei@igengmei.com/daily_content_data
\ 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 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 online ml_user_history_detail
\ 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_device_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
-command=/home/bi/bi-report/shells/daily_recommend_strategy/daily_recommend_strategy.sh
\ No newline at end of file

jobs/daily_recommend_strategy/step3.job

-#step3.job
-type=command
-dependencies=step2
-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

jobs/demo/step.job

-#step.job
-type=command
-command=/home/bi/bi-report/lib/shell/hive.sh demo
\ No newline at end of file

jobs/search_related/step2.job

-#step2.job
-type=command
-dependencies=step1_1,step1_2
-command=curl -X GET http://localhost:8553/api/report/execSql?name=search_related_insert
\ No newline at end of file

jobs/search_related/step3.job

-#step3.job
-type=command
-dependencies=step2
-command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive pm tl_pm_search_click_path_d
\ No newline at end of file

jobs/search_related/step4.job

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

pm/daily_content_data/en-cn.properties

+daily_content_data=内容日报
\ No newline at end of file

tables/daily_content/create_daliy_content.sql → pm/daily_content_data/etl/create_daily_content_data.sql

 --***************************************************************
---*脚本名称: create_pm_c_op_co_content_dimen_d.sql
+--*脚本名称:
 --*功能: 内容日报
 --*业务名称: pm
 --*输入数据:
 --*作者: weiyimin@igengmei.com
---*更新时间: 2020-5-25 11:00
+--*更新时间:
 --***************************************************************
 
 --设置全局变量&UDF

sqls/daily_content_data_insert/daily_content_data_insert.sql → pm/daily_content_data/etl/daily_content_data.sql

-INSERT OVERWRITE TABLE pm.tl_pm_content_d PARTITION (PARTITION_DAY = #partition_day)
+SET mapreduce.job.queuename=data;
+SET mapreduce.map.memory.mb=8192;
+SET mapreduce.map.java.opts=-Xmx8000m;
+SET mapreduce.reduce.memory.mb=8192;
+SET mapreduce.reduce.java.opts=-Xmx8000m;
+set hive.auto.convert.join=true;
+SET mapred.reduce.tasks=20;
+SET role admin;
+
+
+ADD JAR hdfs:///user/hive/share/lib/udf/hive-udf-1.0-SNAPSHOT.jar;
+CREATE TEMPORARY FUNCTION convup AS 'com.gmei.hive.common.udf.UDFConvUpgrade';
+
+INSERT OVERWRITE TABLE pm.tl_pm_content_d PARTITION (PARTITION_DAY = ${partition_day})
 
 
 SELECT
@@ -9,11 +22,11 @@ SELECT
 		,COALESCE(T1.dau,0) AS dau
 		,COALESCE(T2.neirong_uv,0) AS content_uv
 		,COALESCE(T2.neirong_pv,0) AS content_pv
-		,COALESCE(ROUND(T2.neirong_uv/T1.dau,4),0) AS per_content_uv
-		,COALESCE(ROUND(T2.neirong_pv/T2.neirong_uv,4),0) AS per_content_pv
-		,COALESCE(CONCAT(ROUND(T4.retention_num1/T2.neirong_uv*100,4),'%'),0) AS retention_1
-		,COALESCE(CONCAT(ROUND(T4.retention_num7/T2.neirong_uv*100,4),'%'),0) AS retention_7
-		,COALESCE(CONCAT(ROUND(T4.retention_num30/T2.neirong_uv*100,4),'%'),0) AS retention_30
+		,COALESCE(ROUND(T2.neirong_uv/T1.dau,2),0) AS per_content_uv
+		,COALESCE(ROUND(T2.neirong_pv/T2.neirong_uv,2),0) AS per_content_pv
+		,COALESCE(CONCAT(ROUND(T4.retention_num1/T2.neirong_uv*100,2),'%'),0) AS retention_1
+		,COALESCE(CONCAT(ROUND(T4.retention_num7/T2.neirong_uv*100,2),'%'),0) AS retention_7
+		,COALESCE(CONCAT(ROUND(T4.retention_num30/T2.neirong_uv*100,2),'%'),0) AS retention_30
 		,COALESCE(T5.app_duration,0) AS avg_app_duration
 		,COALESCE(T3.neirong_stay,0) AS avg_content_stay
 		,COALESCE(T5.avg_opentimes,0) AS avg_open_times
@@ -24,69 +37,69 @@ SELECT
 		,COALESCE(T9.diary_stay,0) AS content_diary_stay
 		,COALESCE(T9.home_stay,0) AS home_stay
 		,COALESCE(T9.conv_stay,0) AS conv_related_stay
-		,COALESCE(ROUND(T6.recommend_uv/T2.neirong_uv,4),0) AS recommend_rate
-		,COALESCE(ROUND(T6.recommend_pv/T6.recommend_uv,4),0) AS per_recommend_pv
-		,COALESCE(ROUND(T6.feeds_uv/T2.neirong_uv,4),0) AS feeds_rate
-		,COALESCE(ROUND(T6.feeds_pv/T6.feeds_uv,4),0) AS per_feeds_pv
-		,COALESCE(ROUND(T6.search_uv/T2.neirong_uv,4),0) AS search_rate
-		,COALESCE(ROUND(T6.search_pv/T6.search_uv,4),0) AS per_search_pv
-		,COALESCE(ROUND(T6.zone_uv/T2.neirong_uv,4),0) AS zone_rate
-		,COALESCE(ROUND(T6.zone_pv/T6.zone_uv,4),0) AS per_zone_pv
-		,COALESCE(ROUND(T6.content_uv/T2.neirong_uv,4),0) AS content_rate
-		,COALESCE(ROUND(T6.content_pv/T6.content_uv,4),0) AS per_from_content_pv
-		,COALESCE(ROUND(T6.blank_uv/T2.neirong_uv,4),0) AS blank_rate
-		,COALESCE(ROUND(T6.blank_pv/T6.blank_uv,4),0) AS per_blank_pv
-		,COALESCE(ROUND(T6.comment_uv/T2.neirong_uv,4),0) AS comment_rate
-		,COALESCE(ROUND(T6.comment_pv/T6.comment_uv,4),0) AS per_comment_pv
-		,COALESCE(ROUND(T6.org_uv/T2.neirong_uv,4),0) AS org_rate
-		,COALESCE(ROUND(T6.org_pv/T6.org_uv,4),0) AS per_org_pv
-		,COALESCE(ROUND(T6.category_uv/T2.neirong_uv,4),0) AS category_rate
-		,COALESCE(ROUND(T6.category_pv/T6.category_uv,4),0) AS per_category_pv
-		,COALESCE(ROUND(T6.my_diary_uv/T2.neirong_uv,4),0) AS my_diary_rate
-		,COALESCE(ROUND(T6.my_diary_pv/T6.my_diary_uv,4),0) AS per_my_diary_pv
-		,COALESCE(ROUND(T6.ai_uv/T2.neirong_uv,4),0) AS ai_rate
-		,COALESCE(ROUND(T6.ai_pv/T6.ai_uv,4),0) AS per_ai_pv
+		,COALESCE(ROUND(T6.recommend_uv/T2.neirong_uv,2),0) AS recommend_rate
+		,COALESCE(ROUND(T6.recommend_pv/T6.recommend_uv,2),0) AS per_recommend_pv
+		,COALESCE(ROUND(T6.feeds_uv/T2.neirong_uv,2),0) AS feeds_rate
+		,COALESCE(ROUND(T6.feeds_pv/T6.feeds_uv,2),0) AS per_feeds_pv
+		,COALESCE(ROUND(T6.search_uv/T2.neirong_uv,2),0) AS search_rate
+		,COALESCE(ROUND(T6.search_pv/T6.search_uv,2),0) AS per_search_pv
+		,COALESCE(ROUND(T6.zone_uv/T2.neirong_uv,2),0) AS zone_rate
+		,COALESCE(ROUND(T6.zone_pv/T6.zone_uv,2),0) AS per_zone_pv
+		,COALESCE(ROUND(T6.content_uv/T2.neirong_uv,2),0) AS content_rate
+		,COALESCE(ROUND(T6.content_pv/T6.content_uv,2),0) AS per_from_content_pv
+		,COALESCE(ROUND(T6.blank_uv/T2.neirong_uv,2),0) AS blank_rate
+		,COALESCE(ROUND(T6.blank_pv/T6.blank_uv,2),0) AS per_blank_pv
+		,COALESCE(ROUND(T6.comment_uv/T2.neirong_uv,2),0) AS comment_rate
+		,COALESCE(ROUND(T6.comment_pv/T6.comment_uv,2),0) AS per_comment_pv
+		,COALESCE(ROUND(T6.org_uv/T2.neirong_uv,2),0) AS org_rate
+		,COALESCE(ROUND(T6.org_pv/T6.org_uv,2),0) AS per_org_pv
+		,COALESCE(ROUND(T6.category_uv/T2.neirong_uv,2),0) AS category_rate
+		,COALESCE(ROUND(T6.category_pv/T6.category_uv,2),0) AS per_category_pv
+		,COALESCE(ROUND(T6.my_diary_uv/T2.neirong_uv,2),0) AS my_diary_rate
+		,COALESCE(ROUND(T6.my_diary_pv/T6.my_diary_uv,2),0) AS per_my_diary_pv
+		,COALESCE(ROUND(T6.ai_uv/T2.neirong_uv,2),0) AS ai_rate
+		,COALESCE(ROUND(T6.ai_pv/T6.ai_uv,2),0) AS per_ai_pv
 		,null AS create_topic_num
 		,null AS create_reply_num
 		,COALESCE(T2.diary_uv,0) AS diary_uv
 		,COALESCE(T2.diary_pv,0) AS diary_pv
-		,COALESCE(ROUND(T2.diary_uv/T2.neirong_uv,4),0) AS diary_rate
-		,COALESCE(ROUND(T2.diary_pv/T2.diary_uv,4),0) AS per_diary_pv
+		,COALESCE(ROUND(T2.diary_uv/T2.neirong_uv,2),0) AS diary_rate
+		,COALESCE(ROUND(T2.diary_pv/T2.diary_uv,2),0) AS per_diary_pv
 		,COALESCE(T3.diary_stay,0) AS diary_stay
 		,COALESCE(T2.post_uv,0) AS post_uv
 		,COALESCE(T2.post_pv,0) AS post_pv
-		,COALESCE(ROUND(T2.post_uv/T2.neirong_uv,4),0) AS post_rate
-		,COALESCE(ROUND(T2.post_pv/T2.post_uv,4),0) AS per_post_pv
+		,COALESCE(ROUND(T2.post_uv/T2.neirong_uv,2),0) AS post_rate
+		,COALESCE(ROUND(T2.post_pv/T2.post_uv,2),0) AS per_post_pv
 		,COALESCE(T3.post_stay,0) AS post_stay
 		,COALESCE(T2.question_uv,0) AS question_uv
 		,COALESCE(T2.question_pv,0) AS question_pv
-		,COALESCE(ROUND(T2.question_uv/T2.neirong_uv,4),0) AS question_rate
-		,COALESCE(ROUND(T2.question_pv/T2.question_uv,4),0) AS per_question_pv
+		,COALESCE(ROUND(T2.question_uv/T2.neirong_uv,2),0) AS question_rate
+		,COALESCE(ROUND(T2.question_pv/T2.question_uv,2),0) AS per_question_pv
 		,COALESCE(T3.question_stay,0) AS question_stay
 		,COALESCE(T2.question_answer_uv,0) AS question_answer_uv
 		,COALESCE(T2.question_answer_pv,0) AS question_answer_pv
-		,COALESCE(ROUND(T2.question_answer_uv/T2.neirong_uv,4),0) AS question_answer_rate
-		,COALESCE(ROUND(T2.question_answer_pv/T2.question_answer_uv,4),0) AS per_question_answer_pv
+		,COALESCE(ROUND(T2.question_answer_uv/T2.neirong_uv,2),0) AS question_answer_rate
+		,COALESCE(ROUND(T2.question_answer_pv/T2.question_answer_uv,2),0) AS per_question_answer_pv
 		,COALESCE(T3.question_answer_stay,0) AS question_answer_stay
 		,COALESCE(T2.answer_uv,0) AS answer_uv
 		,COALESCE(T2.answer_pv,0) AS answer_pv
-		,COALESCE(ROUND(T2.answer_uv/T2.neirong_uv,4),0) AS answer_rate
-		,COALESCE(ROUND(T2.answer_pv/T2.answer_uv,4),0) AS per_answer_pv
+		,COALESCE(ROUND(T2.answer_uv/T2.neirong_uv,2),0) AS answer_rate
+		,COALESCE(ROUND(T2.answer_pv/T2.answer_uv,2),0) AS per_answer_pv
 		,COALESCE(T3.answer_stay,0) AS answer_stay
 		,COALESCE(T2.video_uv,0) AS video_uv
 		,COALESCE(T2.video_pv,0) AS video_pv
-		,COALESCE(ROUND(T2.video_uv/T2.neirong_uv,4),0) AS video_rate
-		,COALESCE(ROUND(T2.video_pv/T2.video_uv,4),0) AS per_video_pv
+		,COALESCE(ROUND(T2.video_uv/T2.neirong_uv,2),0) AS video_rate
+		,COALESCE(ROUND(T2.video_pv/T2.video_uv,2),0) AS per_video_pv
 		,COALESCE(T3.video_stay,0) AS video_stay
 		,COALESCE(T2.wiki_uv,0) AS wiki_uv
 		,COALESCE(T2.wiki_pv,0) AS wiki_pv
-		,COALESCE(ROUND(T2.wiki_uv/T2.neirong_uv,4),0) AS wiki_rate
-		,COALESCE(ROUND(T2.wiki_pv/T2.wiki_uv,4),0) AS per_wiki_pv
+		,COALESCE(ROUND(T2.wiki_uv/T2.neirong_uv,2),0) AS wiki_rate
+		,COALESCE(ROUND(T2.wiki_pv/T2.wiki_uv,2),0) AS per_wiki_pv
 		,COALESCE(T3.wiki_stay,0) AS wiki_stay
 		,COALESCE(T2.article_uv,0) AS article_uv
 		,COALESCE(T2.article_pv,0) AS article_pv
-		,COALESCE(ROUND(T2.article_uv/T2.neirong_uv,4),0) AS article_rate
-		,COALESCE(ROUND(T2.article_pv/T2.article_uv,4),0) AS per_article_pv
+		,COALESCE(ROUND(T2.article_uv/T2.neirong_uv,2),0) AS article_rate
+		,COALESCE(ROUND(T2.article_pv/T2.article_uv,2),0) AS per_article_pv
 		,COALESCE(T3.article_stay,0) AS article_stay
 FROM
 (--基础维度/dau
@@ -97,11 +110,14 @@ FROM
             ,m.device_id, device_os_type
             ,case WHEN active_type = '4'  THEN '老活跃设备'
                   WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-            ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-                        WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                                or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                                or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                                THEN 'AI'  ELSE '其他' END , '合计') as channel
+            ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                     or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                     or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                     or first_channel_source_type like '%mailuo%' THEN '可疑'
+             					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+             	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+             	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+             	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
         FROM online.ml_device_day_active_status m
             LEFT JOIN
             (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -162,11 +178,14 @@ LEFT JOIN
                 ,m.device_id, device_os_type
                 ,case WHEN active_type = '4'  THEN '老活跃设备'
                       WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-            				WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                    				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                    				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                    				THEN 'AI'  ELSE '其他' END , '合计') as channel
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                         or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                         or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                         or first_channel_source_type like '%mailuo%' THEN '可疑'
+                					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
                 FROM online.ml_device_day_active_status m
                 	LEFT JOIN
                     (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -225,23 +244,23 @@ LEFT JOIN
 			,device_os_type
 			,active_type
 			,t4.channel
-			,round(sum(page_stay)/count(distinct cl_id)/60,4) as neirong_stay
+			,round(sum(page_stay)/count(distinct cl_id)/60,2) as neirong_stay
 			,round(sum(CASE WHEN page_name IN ('diary_detail','topic_detail') THEN page_stay else 0 END)/
-				count(distinct CASE WHEN page_name IN ('diary_detail','topic_detail') THEN cl_id END)/60,4) AS diary_stay
+				count(distinct CASE WHEN page_name IN ('diary_detail','topic_detail') THEN cl_id END)/60,2) AS diary_stay
 			,round(sum(CASE WHEN page_name IN ('post_detail','user_post_detail','doctor_post_detail') THEN page_stay else 0 END)/
-				count(distinct CASE WHEN page_name IN ('post_detail','user_post_detail','doctor_post_detail') THEN cl_id END)/60,4) AS post_stay
+				count(distinct CASE WHEN page_name IN ('post_detail','user_post_detail','doctor_post_detail') THEN cl_id END)/60,2) AS post_stay
 			,round(sum(CASE WHEN page_name ='question_detail' THEN page_stay else 0 END)/
-				count(distinct CASE WHEN page_name ='question_detail' THEN cl_id END)/60,4) AS question_stay
+				count(distinct CASE WHEN page_name ='question_detail' THEN cl_id END)/60,2) AS question_stay
 			,round(sum(CASE WHEN page_name ='question_answer_detail' THEN page_stay else 0 END)/
-				count(distinct CASE WHEN page_name ='question_answer_detail' THEN cl_id END)/60,4) AS question_answer_stay
+				count(distinct CASE WHEN page_name ='question_answer_detail' THEN cl_id END)/60,2) AS question_answer_stay
 			,round(sum(CASE WHEN page_name ='answer_detail' THEN page_stay else 0 END)/
-				count(distinct CASE WHEN page_name ='answer_detail' THEN cl_id END)/60,4) AS answer_stay
+				count(distinct CASE WHEN page_name ='answer_detail' THEN cl_id END)/60,2) AS answer_stay
 			,round(sum(CASE WHEN page_name ='video_steep' THEN page_stay else 0 END)/
-				count(distinct CASE WHEN page_name ='video_steep' THEN cl_id END)/60,4) AS video_stay
+				count(distinct CASE WHEN page_name ='video_steep' THEN cl_id END)/60,2) AS video_stay
 			,round(sum(CASE WHEN page_name ='article_detail' THEN page_stay else 0 END)/
-				count(distinct CASE WHEN page_name ='article_detail' THEN cl_id END)/60,4) AS article_stay
+				count(distinct CASE WHEN page_name ='article_detail' THEN cl_id END)/60,2) AS article_stay
 			,round(sum(CASE WHEN page_name IN ('wiki_detail','product_detail','wiki_brand','wiki_collect') THEN page_stay else 0 END)/
-				count(distinct CASE WHEN page_name IN ('wiki_detail','product_detail','wiki_brand','wiki_collect') THEN cl_id END)/60,4) AS wiki_stay
+				count(distinct CASE WHEN page_name IN ('wiki_detail','product_detail','wiki_brand','wiki_collect') THEN cl_id END)/60,2) AS wiki_stay
 	FROM
 	(
 		SELECT t1.partition_date,device_os_type,active_type,channel,t2.cl_id,t2.page_name,t2.page_stay
@@ -252,11 +271,14 @@ LEFT JOIN
                 ,m.device_id, device_os_type
                 ,case WHEN active_type = '4'  THEN '老活跃设备'
                       WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-            				WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                    				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                    				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                    				THEN 'AI'  ELSE '其他' END , '合计') as channel
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                         or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                         or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                         or first_channel_source_type like '%mailuo%' THEN '可疑'
+                					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
                 FROM online.ml_device_day_active_status m
                 	LEFT JOIN
                     (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -328,11 +350,14 @@ LEFT JOIN
                 ,m.device_id, device_os_type
                 ,case WHEN active_type = '4'  THEN '老活跃设备'
                       WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-            				WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                    				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                    				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                    				THEN 'AI'  ELSE '其他' END , '合计') as channel
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                         or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                         or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                         or first_channel_source_type like '%mailuo%' THEN '可疑'
+                					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
                 FROM online.ml_device_day_active_status m
                 	LEFT JOIN
                     (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -404,7 +429,7 @@ LEFT JOIN
 	   		,device_os_type
 	   		,active_type
 	   		,t5.channel
-	   		,round(sum(use_duration)/count(distinct cl_id)/60,4) as app_duration
+	   		,round(sum(use_duration)/count(distinct cl_id)/60,2) as app_duration
 	   		,round(avg(open_times),4) as avg_opentimes
 	FROM
 	(
@@ -416,11 +441,14 @@ LEFT JOIN
                 ,m.device_id, device_os_type
                 ,case WHEN active_type = '4'  THEN '老活跃设备'
                       WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-            				WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                    				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                    				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                    				THEN 'AI'  ELSE '其他' END , '合计') as channel
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                         or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                         or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                         or first_channel_source_type like '%mailuo%' THEN '可疑'
+                					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
                 FROM online.ml_device_day_active_status m
                 	LEFT JOIN
                     (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -525,11 +553,14 @@ LEFT JOIN
                 ,m.device_id, device_os_type
                 ,case WHEN active_type = '4'  THEN '老活跃设备'
                       WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-            				WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                    				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                    				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                    				THEN 'AI'  ELSE '其他' END , '合计') as channel
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                         or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                         or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                         or first_channel_source_type like '%mailuo%' THEN '可疑'
+                					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
                 FROM online.ml_device_day_active_status m
                 	LEFT JOIN
                     (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -657,11 +688,14 @@ LEFT JOIN
                 ,m.device_id, device_os_type
                 ,case WHEN active_type = '4'  THEN '老活跃设备'
                       WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-            				WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                    				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                    				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                    				THEN 'AI'  ELSE '其他' END , '合计') as channel
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                         or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                         or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                         or first_channel_source_type like '%mailuo%' THEN '可疑'
+                					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
                 FROM online.ml_device_day_active_status m
                 	LEFT JOIN
                     (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -849,11 +883,14 @@ LEFT JOIN
                 ,m.device_id, device_os_type
                 ,case WHEN active_type = '4'  THEN '老活跃设备'
                       WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-            				WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                    				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                    				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                    				THEN 'AI'  ELSE '其他' END , '合计') as channel
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                         or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                         or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                         or first_channel_source_type like '%mailuo%' THEN '可疑'
+                					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
                 FROM online.ml_device_day_active_status m
                 	LEFT JOIN
                     (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -1043,11 +1080,14 @@ LEFT JOIN
                 ,m.device_id, device_os_type
                 ,case WHEN active_type = '4'  THEN '老活跃设备'
                       WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL THEN '可疑'
-            				WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
-                    				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
-                    				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
-                    				THEN 'AI'  ELSE '其他' END , '合计') as channel
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                                         or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                                         or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                                         or first_channel_source_type like '%mailuo%' THEN '可疑'
+                					WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                	        				or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                	        				or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                	        				THEN 'AI'  ELSE '其他' END , '合计') as channel
                 FROM online.ml_device_day_active_status m
                 	LEFT JOIN
                     (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
@@ -1119,5 +1159,5 @@ ON T1.partition_date=T9.partition_date
   AND T1.device_os_type=T9.device_os_type
   AND T1.active_type=T9.active_type
   AND T1.channel=T9.channel
-ORDER BY day_id desc,device_os_type,active_type,is_ai_channel
+ORDER BY day_id desc,device_os_type,active_type,is_ai_channel;
 

jobs/daily_content_data/step2.job → pm/daily_content_data/job/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,step1_11,step1_12,step1_13
-command=curl -X GET http://localhost:8553/api/report/execSql?name=daily_content_data_insert
\ No newline at end of file
+command=/home/bi/bi-report/lib/shell/hive daily_content_data
\ No newline at end of file

pm/daily_content_data/job/step3.job

+#step3.job
+type=command
+dependencies=step2
+command=curl -X GET http://localhost:8553/api/report/email/daily_content_data/liudi@igengmei.com,wangxin@igengmei.com,malinxi@igengmei.com,dengguangyu@igengmei.com/weiyimin@igengmei.com,zhaojianwei@igengmei.com,zhaofei@igengmei.com,yindanlei@igengmei.com
\ No newline at end of file

pm/daily_recommend_strategy/etl/create_daily_recommend_strategy.sql

 --***************************************************************
---*脚本名称: create_pm_c_op_co_content_dimen_d.sql
---*功能: 内容日报
+--*脚本名称:
+--*功能: 首页推荐策略日报
 --*业务名称: pm
 --*输入数据:
 --*作者: weiyimin@igengmei.com
---*更新时间: 2020-5-25 11:00
+--*更新时间:
 --***************************************************************
 
 --设置全局变量&UDF

pm/daily_recommend_strategy/job/step3.job

 #step3.job
 type=command
 dependencies=step2
-command=curl -X GET http://localhost:8553/api/report/email/daily_recommend_strategy/zhaojianwei@igengmei.com/jianweizhao@yeah.net
\ No newline at end of file
+command=curl -X GET http://localhost:8553/api/report/email/daily_recommend_strategy/liudi@igengmei.com,wangxin@igengmei.com,liweirui@igengmei.com,duanyingrong@igengmei.com,xuepengfei@igengmei.com,dengguangyu@igengmei.com,zhaowei@igengmei.com,songke@igengmei.com/zhaofei@igengmei.com,yindanlei@igengmei.com,weiyimin@igengmei.com,zhaojianwei@igengmei.com
\ No newline at end of file

pm/meigou_detail_page/en-cn.properties

+meigou_detail_page=美购详情页来源与分发
+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
\ No newline at end of file

jobs/search_related/step1_1.job → pm/meigou_detail_page/job/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
+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_2.job → pm/meigou_detail_page/job/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
+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_7.job → pm/meigou_detail_page/job/step1_3.job

-#step1_7.job
+#step1_3.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
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive ml ml_d_ct_dv_devicespam_d
\ No newline at end of file

pm/meigou_detail_page/job/step2.job

+#step2.job
+type=command
+dependencies=step1_1,step1_2,step1_3
+command=curl -X GET http://localhost:8553/api/report/email/meigou_detail_page/liudi@igengmei.com,wangxin@igengmei.com,zhaofei@igengmei.com/weiyimin@igengmei.com,yindanlei@igengmei.com,zhaojianwei@igengmei.com
\ No newline at end of file

pm/meigou_detail_page/report/meigou_detail_page_dispense_pv.sql

+
+
+--美购详情页的分发
+SELECT `日期`,`设备类型`,`活跃类型`,`渠道`
+		,`美购详情页浏览pv`
+		,(`加购物车点击pv`+`评价列表页点击pv`+`立即支付点击pv`+`私信及电话咨询pv` +`选择美购项目点击pv`
+			+`机构主页点击pv`+`机构的其他美购点击pv`+`推荐美购点击pv`+`收藏点击pv`
+			+`右上角购物车点击pv`+`医生主页点击pv`+`分享点击pv`+`机构导航点击pv`) as `美购详情页分发pv加总`
+		,concat(round((`加购物车点击pv`+`评价列表页点击pv`+`立即支付点击pv`+`私信及电话咨询pv` +`选择美购项目点击pv`
+			+`机构主页点击pv`+`机构的其他美购点击pv`+`推荐美购点击pv`+`收藏点击pv`
+			+`右上角购物车点击pv`+`医生主页点击pv`+`分享点击pv`+`机构导航点击pv`)/`美购详情页浏览pv`*100,2),'%') as `美购详情页分发pv占比加总`
+		,`加购物车点击pv`
+		,concat(round(`加购物车点击pv`/`美购详情页浏览pv`*100,2),'%') as `加购物车点击pv占比`
+		,`评价列表页点击pv`
+		,concat(round(`评价列表页点击pv`/`美购详情页浏览pv`*100,2),'%') as `评价列表页点击pv占比`
+		,`立即支付点击pv`
+		,concat(round(`立即支付点击pv`/`美购详情页浏览pv`*100,2),'%') as `立即支付点击pv占比`
+		,`私信及电话咨询pv`
+		,concat(round(`私信及电话咨询pv`/`美购详情页浏览pv`*100,2),'%') as `私信及电话咨询pv占比`
+		,`选择美购项目点击pv`
+		,concat(round(`选择美购项目点击pv`/`美购详情页浏览pv`*100,2),'%') as `选择美购项目点击pv占比`
+		,`机构主页点击pv`
+		,concat(round(`机构主页点击pv`/`美购详情页浏览pv`*100,2),'%') as `机构主页点击pv占比`
+		,`机构的其他美购点击pv`
+		,concat(round(`机构的其他美购点击pv`/`美购详情页浏览pv`*100,2),'%') as `机构的其他美购点击pv占比`
+		,`推荐美购点击pv`
+		,concat(round(`推荐美购点击pv`/`美购详情页浏览pv`*100,2),'%') as `推荐美购点击pv占比`
+		,`收藏点击pv`
+		,concat(round(`收藏点击pv`/`美购详情页浏览pv`*100,2),'%') as `收藏点击pv占比`
+		,`右上角购物车点击pv`
+		,concat(round(`右上角购物车点击pv`/`美购详情页浏览pv`*100,2),'%') as `右上角购物车点击pv占比`
+		,`医生主页点击pv`
+		,concat(round(`医生主页点击pv`/`美购详情页浏览pv`*100,2),'%') as `医生主页点击pv占比`
+		,`分享点击pv`
+		,concat(round(`分享点击pv`/`美购详情页浏览pv`*100,2),'%') as `分享点击pv占比`
+		,`机构导航点击pv`
+		,concat(round(`机构导航点击pv`/`美购详情页浏览pv`*100,2),'%') as `机构导航点击pv占比`
+
+FROM
+(
+	SELECT t1.partition_date as `日期`
+			,t1.device_type as `设备类型`
+			,t1.active_type as `活跃类型`
+			,t2.channel as `渠道`
+			,count(case when type='美购详情页' then cl_id end ) as `美购详情页浏览pv`
+			,count(case when type='加购物车' then cl_id end ) as `加购物车点击pv`
+			,count(case when type='评价列表页' then cl_id end ) as `评价列表页点击pv`
+			,count(case when type='立即支付' then cl_id end ) as `立即支付点击pv`
+			,count(case when type='私信及电话咨询' then cl_id end ) as `私信及电话咨询pv`
+			,count(case when type='选择美购项目' then cl_id end ) as `选择美购项目点击pv`
+			,count(case when type='机构主页' then cl_id end ) as `机构主页点击pv`
+			,count(case when type='机构的其他美购' then cl_id end ) as `机构的其他美购点击pv`
+			,count(case when type='推荐美购' then cl_id end ) as `推荐美购点击pv`
+			,count(case when type='收藏' then cl_id end ) as `收藏点击pv`
+			,count(case when type='右上角购物车' then cl_id end ) as `右上角购物车点击pv`
+			,count(case when type='医生主页' then cl_id end ) as `医生主页点击pv`
+			,count(case when type='分享' then cl_id end ) as `分享点击pv`
+			,count(case when type='机构导航' then cl_id end ) as `机构导航点击pv`
+
+	FROM
+	(
+		SELECT click.partition_date,click.cl_id,click.type,mas.active_type,mas.device_type,mas.channel
+		FROM
+		(	--浏览需要去掉疑似机构刷量的设备
+			SELECT  pv.partition_date as partition_date,pv.cl_id as cl_id,type
+			FROM
+			(
+				SELECT partition_date,cl_id,'美购详情页' as type
+				FROM online.bl_hdfs_maidian_updates
+				WHERE partition_date>=regexp_replace(DATE_SUB(current_date,90) ,'-','')
+                AND partition_date<regexp_replace((current_date),'-','')
+			    AND page_name = 'welfare_detail'
+				AND action='page_view'
+			)pv
+			LEFT JOIN
+			( -- 去掉疑似机构刷量的PV和UV
+		        SELECT distinct device_id
+                FROM ml.ml_d_ct_dv_devicespam_d
+                WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		    )spam_pv
+		    on pv.cl_id=spam_pv.device_id
+		    WHERE spam_pv.device_id IS NULL
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '加购物车' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date>=regexp_replace(DATE_SUB(current_date,90) ,'-','')
+            AND partition_date<regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='welfare_multiattribute_click_add'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '右上角购物车' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_navbar_cart'
+
+			UNION ALL
+			--点击查看更多评论
+			SELECT partition_date,cl_id, '评价列表页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_comment'
+
+			UNION ALL
+			--点击外显的评价标签
+			SELECT partition_date,cl_id, '评价列表页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='service_comment_click_tag'
+
+			UNION ALL
+			--点击外显的日记卡片
+			SELECT partition_date,cl_id, '评价列表页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='welfare_detail_comment_click_diary_card'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '立即支付' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='welfare_multiattribute_click_buy'
+
+			UNION ALL
+			--点击选择更美项目
+			SELECT partition_date,cl_id, '选择美购项目' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_button'
+			AND params['button_name']='sku_choose'
+
+			UNION ALL
+			--7.22新版本--点击外露的美购项目
+			SELECT partition_date,cl_id, '选择美购项目' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_button'
+			AND params['button_name']='service_sku'
+
+			UNION ALL
+			--7.22新版本--点击查看更多
+			SELECT partition_date,cl_id, '选择美购项目' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_button'
+			AND params['button_name']='sku_all'
+
+			UNION ALL
+			--点击私信按钮
+			SELECT partition_date,cl_id, '私信及电话咨询' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_message'
+
+			UNION ALL
+			--7.20之后灰度上线的快捷咨询按钮和预约面诊按钮
+			SELECT partition_date,cl_id, '私信及电话咨询' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_button'
+			AND params['button_name'] in ('question_tag','appointment')
+
+			UNION ALL
+			--点击机构下面的在线咨询和电话咨询
+			SELECT partition_date,cl_id, '私信及电话咨询' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_curearea_contact'
+			AND params['connect_type'] in ('onlineconsult','phone')
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '机构主页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_curearea'
+			AND params['cure_type']='organization'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '机构的其他美购' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_seller_service_item'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '机构导航' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_address'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '推荐美购' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date <regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_card'
+			AND params['card_content_type']='service'
+			AND params['tab_name']='推荐'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '收藏' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_favor'
+			AND params['favor_type']='service'
+			AND params['motion']='do'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '医生主页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_curearea'
+			AND params['cure_type']='doctor'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '分享' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='page_click_share'
+		)click
+		JOIN
+		(
+				SELECT partition_date,device_os_type as device_type,m.device_id
+                ,case WHEN active_type = '4'  THEN '老活跃设备'
+                      WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                    or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                    or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                    or first_channel_source_type like '%mailuo%' THEN '可疑'
+                            WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                                    or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                                    or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                                    THEN 'AI'  ELSE '其他' END , '合计') as channel
+                FROM online.ml_device_day_active_status m
+                    LEFT JOIN
+                    (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
+                       FROM pm.tl_pm_ydl
+                       WHERE col3='0204_danlei_channel')tmp
+                    on first_channel_source_type=tmp.col1
+                    LEFT JOIN
+                    (SELECT DISTINCT device_id
+                       FROM al.al_pm_ct_dv_deviceappversionrollbackfrom20190101_d
+                       WHERE partition_day = regexp_replace(DATE_SUB(current_date,2) ,'-',''))a
+                    ON m.device_id = a.device_id
+                where partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+    			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','','unknown')
+                AND first_channel_source_type not like 'promotion\_jf\_%'
+		)mas
+		ON click.cl_id=mas.device_id
+		  AND click.partition_date=mas.partition_date
+	)t1
+	LATERAL VIEW explode(t1.channel) t2 AS channel
+	GROUP BY t1.partition_date,t1.device_type,t1.active_type,t2.channel
+)T1
+ORDER BY `日期` desc,`设备类型`,`活跃类型`,`渠道`
+

pm/meigou_detail_page/report/meigou_detail_page_dispense_uv.sql

+--美购详情页的分发
+SELECT `日期`,`设备类型`,`活跃类型`,`渠道`
+		,`美购详情页浏览uv`
+		,(`加购物车点击uv`+`评价列表页点击uv`+`立即支付点击uv`+`私信及电话咨询uv` +`选择美购项目点击uv`
+			+`机构主页点击uv`+`机构的其他美购点击uv`+`推荐美购点击uv`+`收藏点击uv`
+			+`右上角购物车点击uv`+`医生主页点击uv`+`分享点击uv`+`机构导航点击uv`) as `美购详情页分发uv加总`
+		,concat(round((`加购物车点击uv`+`评价列表页点击uv`+`立即支付点击uv`+`私信及电话咨询uv` +`选择美购项目点击uv`
+			+`机构主页点击uv`+`机构的其他美购点击uv`+`推荐美购点击uv`+`收藏点击uv`
+			+`右上角购物车点击uv`+`医生主页点击uv`+`分享点击uv`+`机构导航点击uv`)/`美购详情页浏览uv`*100,2),'%') as `美购详情页分发uv占比加总`
+		,`加购物车点击uv`
+		,concat(round(`加购物车点击uv`/`美购详情页浏览uv`*100,2),'%') as `加购物车点击uv占比`
+		,`评价列表页点击uv`
+		,concat(round(`评价列表页点击uv`/`美购详情页浏览uv`*100,2),'%') as `评价列表页点击uv占比`
+		,`立即支付点击uv`
+		,concat(round(`立即支付点击uv`/`美购详情页浏览uv`*100,2),'%') as `立即支付点击uv占比`
+		,`私信及电话咨询uv`
+		,concat(round(`私信及电话咨询uv`/`美购详情页浏览uv`*100,2),'%') as `私信及电话咨询uv占比`
+		,`选择美购项目点击uv`
+		,concat(round(`选择美购项目点击uv`/`美购详情页浏览uv`*100,2),'%') as `选择美购项目点击uv占比`
+		,`机构主页点击uv`
+		,concat(round(`机构主页点击uv`/`美购详情页浏览uv`*100,2),'%') as `机构主页点击uv占比`
+		,`机构的其他美购点击uv`
+		,concat(round(`机构的其他美购点击uv`/`美购详情页浏览uv`*100,2),'%') as `机构的其他美购点击uv占比`
+		,`推荐美购点击uv`
+		,concat(round(`推荐美购点击uv`/`美购详情页浏览uv`*100,2),'%') as `推荐美购点击uv占比`
+		,`收藏点击uv`
+		,concat(round(`收藏点击uv`/`美购详情页浏览uv`*100,2),'%') as `收藏点击uv占比`
+		,`右上角购物车点击uv`
+		,concat(round(`右上角购物车点击uv`/`美购详情页浏览uv`*100,2),'%') as `右上角购物车点击uv占比`
+		,`医生主页点击uv`
+		,concat(round(`医生主页点击uv`/`美购详情页浏览uv`*100,2),'%') as `医生主页点击uv占比`
+		,`分享点击uv`
+		,concat(round(`分享点击uv`/`美购详情页浏览uv`*100,2),'%') as `分享点击uv占比`
+		,`机构导航点击uv`
+		,concat(round(`机构导航点击uv`/`美购详情页浏览uv`*100,2),'%') as `机构导航点击uv占比`
+
+FROM
+(
+	SELECT t1.partition_date as `日期`
+			,t1.device_type as `设备类型`
+			,t1.active_type as `活跃类型`
+			,t2.channel as `渠道`
+			,count(case when type='美购详情页' then cl_id end ) as `美购详情页浏览uv`
+			,count(case when type='加购物车' then cl_id end ) as `加购物车点击uv`
+			,count(case when type='评价列表页' then cl_id end ) as `评价列表页点击uv`
+			,count(case when type='立即支付' then cl_id end ) as `立即支付点击uv`
+			,count(case when type='私信及电话咨询' then cl_id end ) as `私信及电话咨询uv`
+			,count(case when type='选择美购项目' then cl_id end ) as `选择美购项目点击uv`
+			,count(case when type='机构主页' then cl_id end ) as `机构主页点击uv`
+			,count(case when type='机构的其他美购' then cl_id end ) as `机构的其他美购点击uv`
+			,count(case when type='推荐美购' then cl_id end ) as `推荐美购点击uv`
+			,count(case when type='收藏' then cl_id end ) as `收藏点击uv`
+			,count(case when type='右上角购物车' then cl_id end ) as `右上角购物车点击uv`
+			,count(case when type='医生主页' then cl_id end ) as `医生主页点击uv`
+			,count(case when type='分享' then cl_id end ) as `分享点击uv`
+			,count(case when type='机构导航' then cl_id end ) as `机构导航点击uv`
+
+	FROM
+	(
+		SELECT click.partition_date,click.cl_id,click.type,mas.active_type,mas.device_type,mas.channel
+		FROM
+		(	--浏览需要去掉疑似机构刷量的设备
+			SELECT  uv.partition_date as partition_date,uv.cl_id as cl_id,type
+			FROM
+			(
+				SELECT partition_date,cl_id,'美购详情页' as type
+				FROM online.bl_hdfs_maidian_updates
+				WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+				AND partition_date < regexp_replace((current_date),'-','')
+			    AND page_name = 'welfare_detail'
+				AND action='page_view'
+			)uv
+			LEFT JOIN
+			( -- 去掉疑似机构刷量的UV和UV
+		        SELECT distinct device_id
+                FROM ml.ml_d_ct_dv_devicespam_d
+                WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		    )spam_pv
+		    on uv.cl_id=spam_pv.device_id
+		    WHERE spam_pv.device_id IS NULL
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '加购物车' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='welfare_multiattribute_click_add'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '右上角购物车' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_navbar_cart'
+
+			UNION ALL
+			--点击查看更多评论
+			SELECT partition_date,cl_id, '评价列表页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_comment'
+
+			UNION ALL
+			--点击外显的评价标签
+			SELECT partition_date,cl_id, '评价列表页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='service_comment_click_tag'
+
+			UNION ALL
+			--点击外显的日记卡片
+			SELECT partition_date,cl_id, '评价列表页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='welfare_detail_comment_click_diary_card'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '立即支付' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='welfare_multiattribute_click_buy'
+
+			UNION ALL
+			--点击选择更美项目
+			SELECT partition_date,cl_id, '选择美购项目' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_button'
+			AND params['button_name']='sku_choose'
+
+			UNION ALL
+			--7.22新版本--点击外露的美购项目
+			SELECT partition_date,cl_id, '选择美购项目' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_button'
+			AND params['button_name']='service_sku'
+
+			UNION ALL
+			--7.22新版本--点击查看更多
+			SELECT partition_date,cl_id, '选择美购项目' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_button'
+			AND params['button_name']='sku_all'
+
+			UNION ALL
+			--点击私信按钮
+			SELECT partition_date,cl_id, '私信及电话咨询' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_message'
+
+			UNION ALL
+			--7.20之后灰度上线的快捷咨询按钮和预约面诊按钮
+			SELECT partition_date,cl_id, '私信及电话咨询' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_button'
+			AND params['button_name'] in ('question_tag','appointment')
+
+			UNION ALL
+			--点击机构下面的在线咨询和电话咨询
+			SELECT partition_date,cl_id, '私信及电话咨询' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_curearea_contact'
+			AND params['connect_type'] in ('onlineconsult','phone')
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '机构主页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_curearea'
+			AND params['cure_type']='organization'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '机构的其他美购' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_seller_service_item'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '机构导航' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_address'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '推荐美购' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date <regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_card'
+			AND params['card_content_type']='service'
+			AND params['tab_name']='推荐'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '收藏' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='on_click_favor'
+			AND params['favor_type']='service'
+			AND params['motion']='do'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '医生主页' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_curearea'
+			AND params['cure_type']='doctor'
+
+			UNION ALL
+
+			SELECT partition_date,cl_id, '分享' as type
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='page_click_share'
+		)click
+		JOIN
+		(
+				SELECT partition_date,device_os_type as device_type,m.device_id
+                ,case WHEN active_type = '4'  THEN '老活跃设备'
+                      WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+                ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                    or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                    or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                    or first_channel_source_type like '%mailuo%' THEN '可疑'
+                            WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                                    or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                                    or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                                    THEN 'AI'  ELSE '其他' END , '合计') as channel
+                FROM online.ml_device_day_active_status m
+                    LEFT JOIN
+                    (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
+                       FROM pm.tl_pm_ydl
+                       WHERE col3='0204_danlei_channel')tmp
+                    on first_channel_source_type=tmp.col1
+                    LEFT JOIN
+                    (SELECT DISTINCT device_id
+                       FROM al.al_pm_ct_dv_deviceappversionrollbackfrom20190101_d
+                       WHERE partition_day = regexp_replace(DATE_SUB(current_date,2) ,'-',''))a
+                    ON m.device_id = a.device_id
+                where partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+    			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','','unknown')
+                AND first_channel_source_type not like 'promotion\_jf\_%'
+		)mas
+		ON click.cl_id=mas.device_id
+		  AND click.partition_date=mas.partition_date
+	)t1
+	LATERAL VIEW explode(t1.channel) t2 AS channel
+	GROUP BY t1.partition_date,t1.device_type,t1.active_type,t2.channel
+)T1
+ORDER BY `日期` desc,`设备类型`,`活跃类型`,`渠道`
+

pm/meigou_detail_page/report/meigou_detail_page_source_pv.sql

+--美购详情页的来源
+
+SELECT T1.partition_date as `日期`
+		,T1.device_type as `设备类型`
+		,T1.active_type as `活跃类型`
+		,T1.channel as `渠道`
+		,T1.wel_pv as `美购详情页pv`
+		,(T2.search_result_welfare_pv+T2.welfare_list_pv+T2.organization_detail_pv+T2.category_pv+T2.sign_pv
+			+T2.special_pv+T2.my_cart_pv+T2.search_result_more_pv+T2.welfare_home_pv+T2.conversation_detail_pv
+			+T2.wel_pv+T2.order_detail_pv+T2.expert_detail_pv+T2.ai_report_pv+T2.diary_detail_pv+T2.zone_pv) as `转化美购pv总量`
+		,concat(round((T2.search_result_welfare_pv+T2.welfare_list_pv+T2.organization_detail_pv+T2.category_pv+T2.sign_pv
+			+T2.special_pv+T2.my_cart_pv+T2.search_result_more_pv+T2.welfare_home_pv+T2.conversation_detail_pv
+			+T2.wel_pv+T2.order_detail_pv+T2.expert_detail_pv+T2.ai_report_pv+T2.diary_detail_pv+T2.zone_pv)/T1.wel_pv*100,2),'%') as `转化美购pv占比加总`
+		,T1.search_result_welfare_pv as `搜索结果美购页pv`
+		,T2.search_result_welfare_pv as `搜索结果美购页-转化pv`
+		,T3.result_wel_add_pv as `搜索结果美购页-转化点击加车pv`
+		,T3.result_wel_buy_pv as `搜索结果美购页-转化点击立即支付pv`
+		,T3.result_wel_msg_pv as `搜索结果美购页-转化点击私信咨询pv`
+		,concat(round(T2.search_result_welfare_pv/T1.search_result_welfare_pv*100,2),'%') as `搜索结果美购页-转化pv率`
+		,concat(round(T2.search_result_welfare_pv/T1.wel_pv*100,2),'%') as `搜索结果美购页-转化美购pv占比`
+		,concat(round(T3.result_wel_add_pv/T2.search_result_welfare_pv*100,2),'%') as `搜索结果美购页-点击加车率`
+		,concat(round(T3.result_wel_buy_pv/T2.search_result_welfare_pv*100,2),'%') as `搜索结果美购页-点击立即支付率`
+		,concat(round(T3.result_wel_msg_pv/T2.search_result_welfare_pv*100,2),'%') as `搜索结果美购页-点击私信咨询率`
+		,T1.organization_detail_pv as `医院主页pv`
+		,T2.organization_detail_pv as `医院主页-转化pv`
+		,T3.org_add_pv as `医院主页-转化点击加车pv`
+		,T3.org_buy_pv as `医院主页-转化点击立即支付pv`
+		,T3.org_msg_pv as `医院主页-转化点击私信咨询pv`
+		,concat(round(T2.organization_detail_pv/T1.organization_detail_pv*100,2),'%') as `医院主页-转化pv率`
+		,concat(round(T2.organization_detail_pv/T1.wel_pv*100,2),'%') as `医院主页-转化美购pv占比`
+		,concat(round(T3.org_add_pv/T2.organization_detail_pv*100,2),'%') as `医院主页-点击加车率`
+		,concat(round(T3.org_buy_pv/T2.organization_detail_pv*100,2),'%') as `医院主页-点击立即支付率`
+		,concat(round(T3.org_msg_pv/T2.organization_detail_pv*100,2),'%') as `医院主页-点击私信咨询率`
+		,T1.category_pv as `品类聚合页pv`
+		,T2.category_pv as `品类聚合页-转化pv`
+		,T3.category_add_pv as `品类聚合页-转化点击加车pv`
+		,T3.category_buy_pv as `品类聚合页-转化点击立即支付pv`
+		,T3.category_msg_pv as `品类聚合页-转化点击私信咨询pv`
+		,concat(round(T2.category_pv/T1.category_pv*100,2),'%') as `品类聚合页-转化pv率`
+		,concat(round(T2.category_pv/T1.wel_pv*100,2),'%') as `品类聚合页-转化美购pv占比`
+		,concat(round(T3.category_add_pv/T2.category_pv*100,2),'%') as `品类聚合页-点击加车率`
+		,concat(round(T3.category_buy_pv/T2.category_pv*100,2),'%') as `品类聚合页-点击立即支付率`
+		,concat(round(T3.category_msg_pv/T2.category_pv*100,2),'%') as `品类聚合页-点击私信咨询率`
+		,T1.conversation_detail_pv as  `私信详情页pv`
+		,T2.conversation_detail_pv as  `私信详情页-转化pv`
+		,T3.conv_add_pv as `私信详情页-转化点击加车pv`
+		,T3.conv_buy_pv as `私信详情页-转化点击立即支付pv`
+		,T3.conv_msg_pv as `私信详情页-转化点击私信咨询pv`
+		,concat(round(T2.conversation_detail_pv/T1.conversation_detail_pv*100,2),'%') as `私信详情页-转化pv率`
+		,concat(round(T2.conversation_detail_pv/T1.wel_pv*100,2),'%') as `私信详情页-转化美购pv占比`
+		,concat(round(T3.conv_add_pv/T2.conversation_detail_pv*100,2),'%') as `私信详情页-点击加车率`
+		,concat(round(T3.conv_buy_pv/T2.conversation_detail_pv*100,2),'%') as `私信详情页-点击立即支付率`
+		,concat(round(T3.conv_msg_pv/T2.conversation_detail_pv*100,2),'%') as `私信详情页-点击私信咨询率`
+		,T1.welfare_list_pv as `美购列表页pv`
+		,T2.welfare_list_pv as `美购列表页-转化pv`
+		,T3.wel_list_add_pv as `美购列表页-转化点击加车pv`
+		,T3.wel_list_buy_pv as `美购列表页-转化点击立即支付pv`
+		,T3.wel_list_msg_pv as `美购列表页-转化点击私信咨询pv`
+		,concat(round(T2.welfare_list_pv/T1.welfare_list_pv*100,2),'%') as `美购列表页-转化pv率`
+		,concat(round(T2.welfare_list_pv/T1.wel_pv*100,2),'%') as `美购列表页-转化美购pv占比`
+		,concat(round(T3.wel_list_add_pv/T2.welfare_list_pv*100,2),'%') as `美购列表页-点击加车率`
+		,concat(round(T3.wel_list_buy_pv/T2.welfare_list_pv*100,2),'%') as `美购列表页-点击立即支付率`
+		,concat(round(T3.wel_list_msg_pv/T2.welfare_list_pv*100,2),'%') as `美购列表页-点击私信咨询率`
+		,T1.my_cart_pv as`购物车pv`
+		,T2.my_cart_pv as`购物车-转化pv`
+		,T3.cart_add_pv as `购物车-转化点击加车pv`
+		,T3.cart_buy_pv as `购物车-转化点击立即支付pv`
+		,T3.cart_msg_pv as `购物车-转化点击私信咨询pv`
+		,concat(round(T2.my_cart_pv/T1.my_cart_pv*100,2),'%') as `购物车-转化pv率`
+		,concat(round(T2.my_cart_pv/T1.wel_pv*100,2),'%') as `购物车-转化美购pv占比`
+		,concat(round(T3.cart_add_pv/T2.my_cart_pv*100,2),'%') as `购物车-点击加车率`
+		,concat(round(T3.cart_buy_pv/T2.my_cart_pv*100,2),'%') as `购物车-点击立即支付率`
+		,concat(round(T3.cart_msg_pv/T2.my_cart_pv*100,2),'%') as `购物车-点击私信咨询率`
+		,T1.search_result_more_pv as  `搜索结果综合页pv`
+		,T2.search_result_more_pv as  `搜索结果综合页-转化pv`
+		,T3.result_more_add_pv as `搜索结果综合页-转化点击加车pv`
+		,T3.result_more_buy_pv as `搜索结果综合页-转化点击立即支付pv`
+		,T3.result_more_msg_pv as `搜索结果综合页-转化点击私信咨询pv`
+		,concat(round(T2.search_result_more_pv/T1.search_result_more_pv*100,2),'%') as `搜索结果综合页-转化pv率`
+		,concat(round(T2.search_result_more_pv/T1.wel_pv*100,2),'%') as `搜索结果综合页-转化美购pv占比`
+		,concat(round(T3.result_more_add_pv/T2.search_result_more_pv*100,2),'%') as `搜索结果综合页-点击加车率`
+		,concat(round(T3.result_more_buy_pv/T2.search_result_more_pv*100,2),'%') as `搜索结果综合页-点击立即支付率`
+		,concat(round(T3.result_more_msg_pv/T2.search_result_more_pv*100,2),'%') as `搜索结果综合页-点击私信咨询率`
+		,T1.order_detail_pv as `订单详情页pv`
+		,T2.order_detail_pv as `订单详情页-转化pv`
+		,T3.order_add_pv as `订单详情页-转化点击加车pv`
+		,T3.order_buy_pv as `订单详情页-转化点击立即支付pv`
+		,T3.order_msg_pv as `订单详情页-转化点击私信咨询pv`
+		,concat(round(T2.order_detail_pv/T1.order_detail_pv*100,2),'%') as `订单详情页-转化pv率`
+		,concat(round(T2.order_detail_pv/T1.wel_pv*100,2),'%') as `订单详情页-转化美购pv占比`
+		,concat(round(T3.order_add_pv/T2.order_detail_pv*100,2),'%') as `订单详情页-点击加车率`
+		,concat(round(T3.order_buy_pv/T2.order_detail_pv*100,2),'%') as `订单详情页-点击立即支付率`
+		,concat(round(T3.order_msg_pv/T2.order_detail_pv*100,2),'%') as `订单详情页-点击私信咨询率`
+		,T1.special_pv as `专题和大促页pv`
+		,T2.special_pv as `专题和大促页-转化pv`
+		,T3.special_add_pv as `专题和大促页-转化点击加车pv`
+		,T3.special_buy_pv as `专题和大促页-转化点击立即支付pv`
+		,T3.special_msg_pv as `专题和大促页-转化点击私信咨询pv`
+		,concat(round(T2.special_pv/T1.special_pv*100,2),'%') as `专题和大促页-转化pv率`
+		,concat(round(T2.special_pv/T1.wel_pv*100,2),'%') as `专题和大促页-转化美购pv占比`
+		,concat(round(T3.special_add_pv/T2.special_pv*100,2),'%') as `专题和大促页-点击加车率`
+		,concat(round(T3.special_buy_pv/T2.special_pv*100,2),'%') as `专题和大促页-点击立即支付率`
+		,concat(round(T3.special_msg_pv/T2.special_pv*100,2),'%') as `专题和大促页-点击私信咨询率`
+		,T1.expert_detail_pv as `医生主页pv`
+		,T2.expert_detail_pv as `医生主页-转化pv`
+		,T3.exp_add_pv as `医生主页-转化点击加车pv`
+		,T3.exp_buy_pv as `医生主页-转化点击立即支付pv`
+		,T3.exp_msg_pv as `医生主页-转化点击私信咨询pv`
+		,concat(round(T2.expert_detail_pv/T1.expert_detail_pv*100,2),'%') as `医生主页-转化pv率`
+		,concat(round(T2.expert_detail_pv/T1.wel_pv*100,2),'%') as `医生主页-转化美购pv占比`
+		,concat(round(T3.exp_add_pv/T2.expert_detail_pv*100,2),'%') as `医生主页-点击加车率`
+		,concat(round(T3.exp_buy_pv/T2.expert_detail_pv*100,2),'%') as `医生主页-点击立即支付率`
+		,concat(round(T3.exp_msg_pv/T2.expert_detail_pv*100,2),'%') as `医生主页-点击私信咨询率`
+		,T1.wel_pv as `美购详情页pv`
+		,T2.wel_pv as `其他美购详情页-转化pv`
+		,T3.wel_add_pv as `其他美购详情页-转化点击加车pv`
+		,T3.wel_buy_pv as `其他美购详情页-转化点击立即支付pv`
+		,T3.wel_msg_pv as `其他美购详情页-转化点击私信咨询pv`
+		,concat(round(T2.wel_pv/T1.wel_pv*100,2),'%') as `其他美购详情页-转化pv率`
+		,concat(round(T2.wel_pv/T1.wel_pv*100,2),'%') as `其他美购详情页-转化美购pv占比`
+		,concat(round(T3.wel_add_pv/T2.wel_pv*100,2),'%') as `其他美购详情页-点击加车率`
+		,concat(round(T3.wel_buy_pv/T2.wel_pv*100,2),'%') as `其他美购详情页-点击立即支付率`
+		,concat(round(T3.wel_msg_pv/T2.wel_pv*100,2),'%') as `其他美购详情页-点击私信咨询率`
+		,T1.welfare_home_pv as `美购首页pv`
+		,T2.welfare_home_pv as `美购首页-转化pv`
+		,T3.wel_home_add_pv as `美购首页-转化点击加车pv`
+		,T3.wel_home_buy_pv as `美购首页-转化点击立即支付pv`
+		,T3.wel_home_msg_pv as `美购首页-转化点击私信咨询pv`
+		,concat(round(T2.welfare_home_pv/T1.welfare_home_pv*100,2),'%') as `美购首页-转化pv率`
+		,concat(round(T2.welfare_home_pv/T1.wel_pv*100,2),'%') as `美购首页-转化美购pv占比`
+		,concat(round(T3.wel_home_add_pv/T2.welfare_home_pv*100,2),'%') as `美购首页-点击加车率`
+		,concat(round(T3.wel_home_buy_pv/T2.welfare_home_pv*100,2),'%') as `美购首页-点击立即支付率`
+		,concat(round(T3.wel_home_msg_pv/T2.welfare_home_pv*100,2),'%') as `美购首页-点击私信咨询率`
+		,T1.diary_detail_pv as `日记本详情页pv`
+		,T2.diary_detail_pv as `日记本详情页-转化pv`
+		,T3.diary_add_pv as `日记本详情页-转化点击加车pv`
+		,T3.diary_buy_pv as `日记本详情页-转化点击立即支付pv`
+		,T3.diary_msg_pv as `日记本详情页-转化点击私信咨询pv`
+		,concat(round(T2.diary_detail_pv/T1.diary_detail_pv*100,2),'%') as `日记本详情页-转化pv率`
+		,concat(round(T2.diary_detail_pv/T1.wel_pv*100,2),'%') as `日记本详情页-转化美购pv占比`
+		,concat(round(T3.diary_add_pv/T2.diary_detail_pv*100,2),'%') as `日记本详情页-点击加车率`
+		,concat(round(T3.diary_buy_pv/T2.diary_detail_pv*100,2),'%') as `日记本详情页-点击立即支付率`
+		,concat(round(T3.diary_msg_pv/T2.diary_detail_pv*100,2),'%') as `日记本详情页-点击私信咨询率`
+		,T1.sign_pv as `签到页pv`
+		,T2.sign_pv as `签到页-转化pv`
+		,T3.sign_add_pv as `签到页-转化点击加车pv`
+		,T3.sign_buy_pv as `签到页-转化点击立即支付pv`
+		,T3.sign_msg_pv as `签到页-转化点击私信咨询pv`
+		,concat(round(T2.sign_pv/T1.sign_pv*100,2),'%') as `签到页-转化pv率`
+		,concat(round(T2.sign_pv/T1.wel_pv*100,2),'%') as `签到页-转化美购pv占比`
+		,concat(round(T3.sign_add_pv/T2.sign_pv*100,2),'%') as `签到页-点击加车率`
+		,concat(round(T3.sign_buy_pv/T2.sign_pv*100,2),'%') as `签到页-点击立即支付率`
+		,concat(round(T3.sign_msg_pv/T2.sign_pv*100,2),'%') as `签到页-点击私信咨询率`
+		,T1.ai_report_pv as `AI结果页pv`
+		,T2.ai_report_pv as `AI结果页-转化pv`
+		,T3.ai_add_pv as `AI结果页-转化点击加车pv`
+		,T3.ai_buy_pv as `AI结果页-转化点击立即支付pv`
+		,T3.ai_msg_pv as `AI结果页-转化点击私信咨询pv`
+		,concat(round(T2.ai_report_pv/T1.ai_report_pv*100,2),'%') as `AI结果页-转化pv率`
+		,concat(round(T2.ai_report_pv/T1.wel_pv*100,2),'%') as `AI结果页-转化美购pv占比`
+		,concat(round(T3.ai_add_pv/T2.ai_report_pv*100,2),'%') as `AI结果页-点击加车率`
+		,concat(round(T3.ai_buy_pv/T2.ai_report_pv*100,2),'%') as `AI结果页-点击立即支付率`
+		,concat(round(T3.ai_msg_pv/T2.ai_report_pv*100,2),'%') as `AI结果页-点击私信咨询率`
+		,T1.zone_pv as `内容聚合页pv`
+		,T2.zone_pv as `内容聚合页-转化pv`
+		,T3.zone_add_pv as `内容聚合页-转化点击加车pv`
+		,T3.zone_buy_pv as `内容聚合页-转化点击立即支付pv`
+		,T3.zone_msg_pv as `内容聚合页-转化点击私信咨询pv`
+		,concat(round(T2.zone_pv/T1.zone_pv*100,2),'%') as `内容聚合页-转化pv率`
+		,concat(round(T2.zone_pv/T1.wel_pv*100,2),'%') as `内容聚合页-转化美购pv占比`
+		,concat(round(T3.zone_add_pv/T2.zone_pv*100,2),'%') as `内容聚合页-点击加车率`
+		,concat(round(T3.zone_buy_pv/T2.zone_pv*100,2),'%') as `内容聚合页-点击立即支付率`
+		,concat(round(T3.zone_msg_pv/T2.zone_pv*100,2),'%') as `内容聚合页-点击私信咨询率`
+
+FROM
+(--能够走向美购详情页的各页面pv/uv
+	SELECT t1.partition_date
+			,t1.device_type
+			,t1.active_type
+			,t2.channel
+			,count(case when page_name = 'welfare_detail' then t1.cl_id end) as wel_pv
+			,count(case when page_name = 'search_result_more' then t1.cl_id end) as search_result_more_pv
+			,count(case when page_name = 'search_result_welfare' then t1.cl_id end) as search_result_welfare_pv
+			,count(case when page_name = 'organization_detail' then t1.cl_id end) as organization_detail_pv
+			,count(case when page_name = 'expert_detail' then t1.cl_id end) as expert_detail_pv
+			,count(case when page_name = 'category' then t1.cl_id end) as category_pv
+			,count(case when page_name = 'welfare_list' then t1.cl_id end) as welfare_list_pv
+			,count(case when page_name = 'welfare_home' then t1.cl_id end) as welfare_home_pv
+			,count(case when page_name = 'conversation_detail' then t1.cl_id end) as conversation_detail_pv
+			,count(case when page_name = 'my_cart' then t1.cl_id end) as my_cart_pv
+			,count(case when page_name = 'diary_detail' then t1.cl_id end) as diary_detail_pv
+			,count(case when page_name = 'order_detail' then t1.cl_id end) as order_detail_pv
+			,count(case when page_name ='new_sign' then t1.cl_id end) as sign_pv
+			,count(case when page_name in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') then t1.cl_id end) as special_pv --专题和大促
+			,count(case when page_name = 'zone_v3' then t1.cl_id end) as zone_pv
+			,count(case when page_name in ('report_result','face_detect_result') then t1.cl_id end) as ai_report_pv --待之后增加模拟整形页面
+	FROM
+	(
+		SELECT t1.partition_date,t1.page_name,t1.cl_id,mas.device_type,mas.active_type,mas.channel
+		FROM
+		(
+			SELECT partition_date,page_name,cl_id
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >=regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='page_view'
+		)t1
+		JOIN
+		(
+			SELECT  partition_date,device_os_type as device_type,m.device_id
+            ,case WHEN active_type = '4'  THEN '老活跃设备'
+                  WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+            ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                or first_channel_source_type like '%mailuo%' THEN '可疑'
+                        WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                                or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                                or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                                THEN 'AI'  ELSE '其他' END , '合计') as channel
+            FROM online.ml_device_day_active_status m
+                LEFT JOIN
+                (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
+                   FROM pm.tl_pm_ydl
+                   WHERE col3='0204_danlei_channel')tmp
+                on first_channel_source_type=tmp.col1
+                LEFT JOIN
+                (SELECT DISTINCT device_id
+                   FROM al.al_pm_ct_dv_deviceappversionrollbackfrom20190101_d
+                   WHERE partition_day = regexp_replace(DATE_SUB(current_date,2) ,'-',''))a
+                ON m.device_id = a.device_id
+            where partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			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','','unknown')
+            AND first_channel_source_type not like 'promotion\_jf\_%'
+		)mas
+		ON t1.cl_id=mas.device_id
+		  AND t1.partition_date=mas.partition_date
+		LEFT JOIN
+		( -- 去掉疑似机构刷量的PV和UV
+	        SELECT distinct device_id
+            FROM ml.ml_d_ct_dv_devicespam_d
+            WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+	    )spam_pv
+	    on t1.cl_id=spam_pv.device_id
+	    WHERE spam_pv.device_id IS NULL
+	)t1
+    LATERAL VIEW explode(t1.channel) t2 AS channel
+    GROUP BY t1.partition_date,t1.device_type,t1.active_type,t2.channel
+)T1
+LEFT JOIN
+(--不同referrer下的美购详情页pv/uv
+	SELECT t1.partition_date
+			,t1.device_type
+			,t1.active_type
+			,t2.channel
+			,count(case when referrer = 'welfare_detail' then t1.cl_id end) as wel_pv
+			,count(case when referrer = 'search_result_more' then t1.cl_id end) as search_result_more_pv
+			,count(case when referrer = 'search_result_welfare' then t1.cl_id end) as search_result_welfare_pv
+			,count(case when referrer = 'organization_detail' then t1.cl_id end) as organization_detail_pv
+			,count(case when referrer = 'expert_detail' then t1.cl_id end) as expert_detail_pv
+			,count(case when referrer = 'category' then t1.cl_id end) as category_pv
+			,count(case when referrer = 'welfare_list' then t1.cl_id end) as welfare_list_pv
+			,count(case when referrer = 'welfare_home' then t1.cl_id end) as welfare_home_pv
+			,count(case when referrer = 'conversation_detail' then t1.cl_id end) as conversation_detail_pv
+			,count(case when referrer = 'my_cart' then t1.cl_id end) as my_cart_pv
+			,count(case when referrer = 'diary_detail' then t1.cl_id end) as diary_detail_pv
+			,count(case when referrer = 'order_detail' then t1.cl_id end) as order_detail_pv
+			,count(case when referrer ='new_sign' then t1.cl_id end) as sign_pv
+			,count(case when referrer in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') then t1.cl_id end) as special_pv --专题和大促
+			,count(case when referrer = 'zone_v3' then t1.cl_id end) as zone_pv
+			,count(case when referrer in ('report_result','face_detect_result') then t1.cl_id end) as ai_report_pv --待之后增加模拟整形页面
+	FROM
+	(
+		SELECT t1.partition_date,t1.referrer,t1.cl_id,mas.device_type,mas.active_type,mas.channel
+		FROM
+		(
+			SELECT partition_date,referrer,cl_id
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='page_view'
+		)t1
+		JOIN
+		(
+			SELECT  partition_date,device_os_type as device_type,m.device_id
+            ,case WHEN active_type = '4'  THEN '老活跃设备'
+                  WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+            ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                or first_channel_source_type like '%mailuo%' THEN '可疑'
+                        WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                                or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                                or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                                THEN 'AI'  ELSE '其他' END , '合计') as channel
+            FROM online.ml_device_day_active_status m
+                LEFT JOIN
+                (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
+                   FROM pm.tl_pm_ydl
+                   WHERE col3='0204_danlei_channel')tmp
+                on first_channel_source_type=tmp.col1
+                LEFT JOIN
+                (SELECT DISTINCT device_id
+                   FROM al.al_pm_ct_dv_deviceappversionrollbackfrom20190101_d
+                   WHERE partition_day = regexp_replace(DATE_SUB(current_date,2) ,'-',''))a
+                ON m.device_id = a.device_id
+            where partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			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','','unknown')
+            AND first_channel_source_type not like 'promotion\_jf\_%'
+		)mas
+		ON t1.cl_id=mas.device_id
+		  AND t1.partition_date=mas.partition_date
+		LEFT JOIN
+		( -- 去掉疑似机构刷量的PV和UV
+	        SELECT distinct device_id
+            FROM ml.ml_d_ct_dv_devicespam_d
+            WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+	    )spam_pv
+	    on t1.cl_id=spam_pv.device_id
+	    WHERE spam_pv.device_id IS NULL
+	)t1
+    LATERAL VIEW explode(t1.channel) t2 AS channel
+    GROUP BY t1.partition_date,t1.device_type,t1.active_type,t2.channel
+)T2
+ON T1.partition_date=T2.partition_date
+  and T1.device_type=T2.device_type
+  AND T1.active_type=T2.active_type
+  AND T1.channel=T2.channel
+LEFT JOIN
+(--点击加车/支付/私信的不同来源
+	SELECT t1.partition_date
+			,t1.device_type
+			,t1.active_type
+			,t2.channel
+			,count(case when referrer = 'welfare_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as wel_add_pv
+			,count(case when referrer = 'welfare_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as wel_buy_pv
+			,count(case when referrer = 'welfare_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as wel_msg_pv
+			,count(case when referrer = 'search_result_more' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as result_more_add_pv
+			,count(case when referrer = 'search_result_more' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as result_more_buy_pv
+			,count(case when referrer = 'search_result_more' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as result_more_msg_pv
+			,count(case when referrer = 'search_result_welfare' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as result_wel_add_pv
+			,count(case when referrer = 'search_result_welfare' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as result_wel_buy_pv
+			,count(case when referrer = 'search_result_welfare' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as result_wel_msg_pv
+			,count(case when referrer = 'organization_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as org_add_pv
+			,count(case when referrer = 'organization_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as org_buy_pv
+			,count(case when referrer = 'organization_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as org_msg_pv
+			,count(case when referrer = 'expert_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as exp_add_pv
+			,count(case when referrer = 'expert_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as exp_buy_pv
+			,count(case when referrer = 'expert_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as exp_msg_pv
+			,count(case when referrer = 'category' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as category_add_pv
+			,count(case when referrer = 'category' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as category_buy_pv
+			,count(case when referrer = 'category' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as category_msg_pv
+			,count(case when referrer = 'welfare_list' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as wel_list_add_pv
+			,count(case when referrer = 'welfare_list' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as wel_list_buy_pv
+			,count(case when referrer = 'welfare_list' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as wel_list_msg_pv
+			,count(case when referrer = 'welfare_home' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as wel_home_add_pv
+			,count(case when referrer = 'welfare_home' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as wel_home_buy_pv
+			,count(case when referrer = 'welfare_home' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as wel_home_msg_pv
+			,count(case when referrer = 'conversation_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as conv_add_pv
+			,count(case when referrer = 'conversation_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as conv_buy_pv
+			,count(case when referrer = 'conversation_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as conv_msg_pv
+			,count(case when referrer = 'my_cart' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as cart_add_pv
+			,count(case when referrer = 'my_cart' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as cart_buy_pv
+			,count(case when referrer = 'my_cart' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as cart_msg_pv
+			,count(case when referrer = 'diary_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as diary_add_pv
+			,count(case when referrer = 'diary_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as diary_buy_pv
+			,count(case when referrer = 'diary_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as diary_msg_pv
+			,count(case when referrer = 'order_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as order_add_pv
+			,count(case when referrer = 'order_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as order_buy_pv
+			,count(case when referrer = 'order_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as order_msg_pv
+			,count(case when referrer = 'new_sign' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as sign_add_pv
+			,count(case when referrer = 'new_sign' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as sign_buy_pv
+			,count(case when referrer = 'new_sign' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as sign_msg_pv
+			,count(case when referrer in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as special_add_pv
+			,count(case when referrer in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as special_buy_pv
+			,count(case when referrer in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as special_msg_pv
+			,count(case when referrer = 'zone_v3' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as zone_add_pv
+			,count(case when referrer = 'zone_v3' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as zone_buy_pv
+			,count(case when referrer = 'zone_v3' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as zone_msg_pv
+			,count(case when referrer in ('report_result','face_detect_result') and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as ai_add_pv
+			,count(case when referrer in ('report_result','face_detect_result') and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as ai_buy_pv
+			,count(case when referrer in ('report_result','face_detect_result') and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as ai_msg_pv
+
+	FROM
+	(
+		SELECT t1.partition_date,t1.referrer,t1.action,t1.cl_id,mas.device_type,mas.active_type,mas.channel
+		FROM
+		(   --点击加车/支付
+			SELECT partition_date,referrer,action,cl_id
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >=regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action in ('welfare_multiattribute_click_add','welfare_multiattribute_click_buy')
+
+			UNION ALL
+			--点击私信按钮
+			SELECT partition_date,referrer,action,cl_id
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >=regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_message'
+
+			UNION ALL
+			--点击私信区域(目前referrer缺失,故通过拆解referrer_link的方式获得)
+			SELECT partition_date,referrer,action,cl_id
+			FROM
+			(
+			    SELECT partition_date,cl_id,action,t2.referrer as referrer
+			            ,row_number () over (PARTITION BY t1.referrer_link,t1.cl_id ORDER BY t2.link_id desc) as rank
+			    from
+			    (   SELECT partition_date,params['referrer_link'] as referrer_link,cl_id,action
+			            ,json_split(params['referrer_link'],'string') as a
+					FROM online.bl_hdfs_maidian_updates
+					WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+					AND partition_date < regexp_replace((current_date),'-','')
+				    AND page_name = 'welfare_detail'
+					AND action='on_click_button'
+					AND params['button_name'] in ('question_tag','appointment')
+				)t1
+				lateral view posexplode(a) t2 as link_id,referrer
+			)t3
+			where rank=1
+
+		)t1
+		JOIN
+		(
+			SELECT  partition_date,device_os_type as device_type,m.device_id
+            ,case WHEN active_type = '4'  THEN '老活跃设备'
+                  WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+            ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                or first_channel_source_type like '%mailuo%' THEN '可疑'
+                        WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                                or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                                or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                                THEN 'AI'  ELSE '其他' END , '合计') as channel
+            FROM online.ml_device_day_active_status m
+                LEFT JOIN
+                (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
+                   FROM pm.tl_pm_ydl
+                   WHERE col3='0204_danlei_channel')tmp
+                on first_channel_source_type=tmp.col1
+                LEFT JOIN
+                (SELECT DISTINCT device_id
+                   FROM al.al_pm_ct_dv_deviceappversionrollbackfrom20190101_d
+                   WHERE partition_day = regexp_replace(DATE_SUB(current_date,2) ,'-',''))a
+                ON m.device_id = a.device_id
+            where partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			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','','unknown')
+            AND first_channel_source_type not like 'promotion\_jf\_%'
+		)mas
+		ON t1.cl_id=mas.device_id
+		  AND t1.partition_date=mas.partition_date
+		LEFT JOIN
+		( -- 去掉疑似机构刷量的PV和UV
+	        SELECT distinct device_id
+            FROM ml.ml_d_ct_dv_devicespam_d
+            WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+	    )spam_pv
+	    on t1.cl_id=spam_pv.device_id
+	    WHERE spam_pv.device_id IS NULL
+	)t1
+    LATERAL VIEW explode(t1.channel) t2 AS channel
+    GROUP BY t1.partition_date,t1.device_type,t1.active_type,t2.channel
+)T3
+ON T1.partition_date=T3.partition_date
+  and T1.device_type=T3.device_type
+  AND T1.active_type=T3.active_type
+  AND T1.channel=T3.channel
+ORDER BY `日期` desc,`设备类型`,`活跃类型`,`渠道`
+

pm/meigou_detail_page/report/meigou_detail_page_source_uv.sql

+--美购详情页的来源
+
+SELECT T1.partition_date as `日期`
+		,T1.device_type as `设备类型`
+		,T1.active_type as `活跃类型`
+		,T1.channel as `渠道`
+		,T1.wel_uv as `美购详情页uv`
+		,T1.search_result_welfare_uv as `搜索结果美购页uv`
+		,T2.search_result_welfare_uv as `搜索结果美购页-转化uv`
+		,T3.result_wel_add_uv as `搜索结果美购页-转化点击加车uv`
+		,T3.result_wel_buy_uv as `搜索结果美购页-转化点击立即支付uv`
+		,T3.result_wel_msg_uv as `搜索结果美购页-转化点击私信咨询uv`
+		,concat(round(T2.search_result_welfare_uv/T1.search_result_welfare_uv*100,2),'%') as `搜索结果美购页-转化uv率`
+		,concat(round(T2.search_result_welfare_uv/T1.wel_uv*100,2),'%') as `搜索结果美购页-转化美购uv占比`
+		,concat(round(T3.result_wel_add_uv/T2.search_result_welfare_uv*100,2),'%') as `搜索结果美购页-点击加车率`
+		,concat(round(T3.result_wel_buy_uv/T2.search_result_welfare_uv*100,2),'%') as `搜索结果美购页-点击立即支付率`
+		,concat(round(T3.result_wel_msg_uv/T2.search_result_welfare_uv*100,2),'%') as `搜索结果美购页-点击私信咨询率`
+		,T1.organization_detail_uv as `医院主页uv`
+		,T2.organization_detail_uv as `医院主页-转化uv`
+		,T3.org_add_uv as `医院主页-转化点击加车uv`
+		,T3.org_buy_uv as `医院主页-转化点击立即支付uv`
+		,T3.org_msg_uv as `医院主页-转化点击私信咨询uv`
+		,concat(round(T2.organization_detail_uv/T1.organization_detail_uv*100,2),'%') as `医院主页-转化uv率`
+		,concat(round(T2.organization_detail_uv/T1.wel_uv*100,2),'%') as `医院主页-转化美购uv占比`
+		,concat(round(T3.org_add_uv/T2.organization_detail_uv*100,2),'%') as `医院主页-点击加车率`
+		,concat(round(T3.org_buy_uv/T2.organization_detail_uv*100,2),'%') as `医院主页-点击立即支付率`
+		,concat(round(T3.org_msg_uv/T2.organization_detail_uv*100,2),'%') as `医院主页-点击私信咨询率`
+		,T1.category_uv as `品类聚合页uv`
+		,T2.category_uv as `品类聚合页-转化uv`
+		,T3.category_add_uv as `品类聚合页-转化点击加车uv`
+		,T3.category_buy_uv as `品类聚合页-转化点击立即支付uv`
+		,T3.category_msg_uv as `品类聚合页-转化点击私信咨询uv`
+		,concat(round(T2.category_uv/T1.category_uv*100,2),'%') as `品类聚合页-转化uv率`
+		,concat(round(T2.category_uv/T1.wel_uv*100,2),'%') as `品类聚合页-转化美购uv占比`
+		,concat(round(T3.category_add_uv/T2.category_uv*100,2),'%') as `品类聚合页-点击加车率`
+		,concat(round(T3.category_buy_uv/T2.category_uv*100,2),'%') as `品类聚合页-点击立即支付率`
+		,concat(round(T3.category_msg_uv/T2.category_uv*100,2),'%') as `品类聚合页-点击私信咨询率`
+		,T1.conversation_detail_uv as  `私信详情页uv`
+		,T2.conversation_detail_uv as  `私信详情页-转化uv`
+		,T3.conv_add_uv as `私信详情页-转化点击加车uv`
+		,T3.conv_buy_uv as `私信详情页-转化点击立即支付uv`
+		,T3.conv_msg_uv as `私信详情页-转化点击私信咨询uv`
+		,concat(round(T2.conversation_detail_uv/T1.conversation_detail_uv*100,2),'%') as `私信详情页-转化uv率`
+		,concat(round(T2.conversation_detail_uv/T1.wel_uv*100,2),'%') as `私信详情页-转化美购uv占比`
+		,concat(round(T3.conv_add_uv/T2.conversation_detail_uv*100,2),'%') as `私信详情页-点击加车率`
+		,concat(round(T3.conv_buy_uv/T2.conversation_detail_uv*100,2),'%') as `私信详情页-点击立即支付率`
+		,concat(round(T3.conv_msg_uv/T2.conversation_detail_uv*100,2),'%') as `私信详情页-点击私信咨询率`
+		,T1.welfare_list_uv as `美购列表页uv`
+		,T2.welfare_list_uv as `美购列表页-转化uv`
+		,T3.wel_list_add_uv as `美购列表页-转化点击加车uv`
+		,T3.wel_list_buy_uv as `美购列表页-转化点击立即支付uv`
+		,T3.wel_list_msg_uv as `美购列表页-转化点击私信咨询uv`
+		,concat(round(T2.welfare_list_uv/T1.welfare_list_uv*100,2),'%') as `美购列表页-转化uv率`
+		,concat(round(T2.welfare_list_uv/T1.wel_uv*100,2),'%') as `美购列表页-转化美购uv占比`
+		,concat(round(T3.wel_list_add_uv/T2.welfare_list_uv*100,2),'%') as `美购列表页-点击加车率`
+		,concat(round(T3.wel_list_buy_uv/T2.welfare_list_uv*100,2),'%') as `美购列表页-点击立即支付率`
+		,concat(round(T3.wel_list_msg_uv/T2.welfare_list_uv*100,2),'%') as `美购列表页-点击私信咨询率`
+		,T1.my_cart_uv as`购物车uv`
+		,T2.my_cart_uv as`购物车-转化uv`
+		,T3.cart_add_uv as `购物车-转化点击加车uv`
+		,T3.cart_buy_uv as `购物车-转化点击立即支付uv`
+		,T3.cart_msg_uv as `购物车-转化点击私信咨询uv`
+		,concat(round(T2.my_cart_uv/T1.my_cart_uv*100,2),'%') as `购物车-转化uv率`
+		,concat(round(T2.my_cart_uv/T1.wel_uv*100,2),'%') as `购物车-转化美购uv占比`
+		,concat(round(T3.cart_add_uv/T2.my_cart_uv*100,2),'%') as `购物车-点击加车率`
+		,concat(round(T3.cart_buy_uv/T2.my_cart_uv*100,2),'%') as `购物车-点击立即支付率`
+		,concat(round(T3.cart_msg_uv/T2.my_cart_uv*100,2),'%') as `购物车-点击私信咨询率`
+		,T1.search_result_more_uv as  `搜索结果综合页uv`
+		,T2.search_result_more_uv as  `搜索结果综合页-转化uv`
+		,T3.result_more_add_uv as `搜索结果综合页-转化点击加车uv`
+		,T3.result_more_buy_uv as `搜索结果综合页-转化点击立即支付uv`
+		,T3.result_more_msg_uv as `搜索结果综合页-转化点击私信咨询uv`
+		,concat(round(T2.search_result_more_uv/T1.search_result_more_uv*100,2),'%') as `搜索结果综合页-转化uv率`
+		,concat(round(T2.search_result_more_uv/T1.wel_uv*100,2),'%') as `搜索结果综合页-转化美购uv占比`
+		,concat(round(T3.result_more_add_uv/T2.search_result_more_uv*100,2),'%') as `搜索结果综合页-点击加车率`
+		,concat(round(T3.result_more_buy_uv/T2.search_result_more_uv*100,2),'%') as `搜索结果综合页-点击立即支付率`
+		,concat(round(T3.result_more_msg_uv/T2.search_result_more_uv*100,2),'%') as `搜索结果综合页-点击私信咨询率`
+		,T1.order_detail_uv as `订单详情页uv`
+		,T2.order_detail_uv as `订单详情页-转化uv`
+		,T3.order_add_uv as `订单详情页-转化点击加车uv`
+		,T3.order_buy_uv as `订单详情页-转化点击立即支付uv`
+		,T3.order_msg_uv as `订单详情页-转化点击私信咨询uv`
+		,concat(round(T2.order_detail_uv/T1.order_detail_uv*100,2),'%') as `订单详情页-转化uv率`
+		,concat(round(T2.order_detail_uv/T1.wel_uv*100,2),'%') as `订单详情页-转化美购uv占比`
+		,concat(round(T3.order_add_uv/T2.order_detail_uv*100,2),'%') as `订单详情页-点击加车率`
+		,concat(round(T3.order_buy_uv/T2.order_detail_uv*100,2),'%') as `订单详情页-点击立即支付率`
+		,concat(round(T3.order_msg_uv/T2.order_detail_uv*100,2),'%') as `订单详情页-点击私信咨询率`
+		,T1.special_uv as `专题和大促页uv`
+		,T2.special_uv as `专题和大促页-转化uv`
+		,T3.special_add_uv as `专题和大促页-转化点击加车uv`
+		,T3.special_buy_uv as `专题和大促页-转化点击立即支付uv`
+		,T3.special_msg_uv as `专题和大促页-转化点击私信咨询uv`
+		,concat(round(T2.special_uv/T1.special_uv*100,2),'%') as `专题和大促页-转化uv率`
+		,concat(round(T2.special_uv/T1.wel_uv*100,2),'%') as `专题和大促页-转化美购uv占比`
+		,concat(round(T3.special_add_uv/T2.special_uv*100,2),'%') as `专题和大促页-点击加车率`
+		,concat(round(T3.special_buy_uv/T2.special_uv*100,2),'%') as `专题和大促页-点击立即支付率`
+		,concat(round(T3.special_msg_uv/T2.special_uv*100,2),'%') as `专题和大促页-点击私信咨询率`
+		,T1.expert_detail_uv as `医生主页uv`
+		,T2.expert_detail_uv as `医生主页-转化uv`
+		,T3.exp_add_uv as `医生主页-转化点击加车uv`
+		,T3.exp_buy_uv as `医生主页-转化点击立即支付uv`
+		,T3.exp_msg_uv as `医生主页-转化点击私信咨询uv`
+		,concat(round(T2.expert_detail_uv/T1.expert_detail_uv*100,2),'%') as `医生主页-转化uv率`
+		,concat(round(T2.expert_detail_uv/T1.wel_uv*100,2),'%') as `医生主页-转化美购uv占比`
+		,concat(round(T3.exp_add_uv/T2.expert_detail_uv*100,2),'%') as `医生主页-点击加车率`
+		,concat(round(T3.exp_buy_uv/T2.expert_detail_uv*100,2),'%') as `医生主页-点击立即支付率`
+		,concat(round(T3.exp_msg_uv/T2.expert_detail_uv*100,2),'%') as `医生主页-点击私信咨询率`
+		,T1.wel_uv as `美购详情页uv`
+		,T2.wel_uv as `其他美购详情页-转化uv`
+		,T3.wel_add_uv as `其他美购详情页-转化点击加车uv`
+		,T3.wel_buy_uv as `其他美购详情页-转化点击立即支付uv`
+		,T3.wel_msg_uv as `其他美购详情页-转化点击私信咨询uv`
+		,concat(round(T2.wel_uv/T1.wel_uv*100,2),'%') as `其他美购详情页-转化uv率`
+		,concat(round(T2.wel_uv/T1.wel_uv*100,2),'%') as `其他美购详情页-转化美购uv占比`
+		,concat(round(T3.wel_add_uv/T2.wel_uv*100,2),'%') as `其他美购详情页-点击加车率`
+		,concat(round(T3.wel_buy_uv/T2.wel_uv*100,2),'%') as `其他美购详情页-点击立即支付率`
+		,concat(round(T3.wel_msg_uv/T2.wel_uv*100,2),'%') as `其他美购详情页-点击私信咨询率`
+		,T1.welfare_home_uv as `美购首页uv`
+		,T2.welfare_home_uv as `美购首页-转化uv`
+		,T3.wel_home_add_uv as `美购首页-转化点击加车uv`
+		,T3.wel_home_buy_uv as `美购首页-转化点击立即支付uv`
+		,T3.wel_home_msg_uv as `美购首页-转化点击私信咨询uv`
+		,concat(round(T2.welfare_home_uv/T1.welfare_home_uv*100,2),'%') as `美购首页-转化uv率`
+		,concat(round(T2.welfare_home_uv/T1.wel_uv*100,2),'%') as `美购首页-转化美购uv占比`
+		,concat(round(T3.wel_home_add_uv/T2.welfare_home_uv*100,2),'%') as `美购首页-点击加车率`
+		,concat(round(T3.wel_home_buy_uv/T2.welfare_home_uv*100,2),'%') as `美购首页-点击立即支付率`
+		,concat(round(T3.wel_home_msg_uv/T2.welfare_home_uv*100,2),'%') as `美购首页-点击私信咨询率`
+		,T1.diary_detail_uv as `日记本详情页uv`
+		,T2.diary_detail_uv as `日记本详情页-转化uv`
+		,T3.diary_add_uv as `日记本详情页-转化点击加车uv`
+		,T3.diary_buy_uv as `日记本详情页-转化点击立即支付uv`
+		,T3.diary_msg_uv as `日记本详情页-转化点击私信咨询uv`
+		,concat(round(T2.diary_detail_uv/T1.diary_detail_uv*100,2),'%') as `日记本详情页-转化uv率`
+		,concat(round(T2.diary_detail_uv/T1.wel_uv*100,2),'%') as `日记本详情页-转化美购uv占比`
+		,concat(round(T3.diary_add_uv/T2.diary_detail_uv*100,2),'%') as `日记本详情页-点击加车率`
+		,concat(round(T3.diary_buy_uv/T2.diary_detail_uv*100,2),'%') as `日记本详情页-点击立即支付率`
+		,concat(round(T3.diary_msg_uv/T2.diary_detail_uv*100,2),'%') as `日记本详情页-点击私信咨询率`
+		,T1.sign_uv as `签到页uv`
+		,T2.sign_uv as `签到页-转化uv`
+		,T3.sign_add_uv as `签到页-转化点击加车uv`
+		,T3.sign_buy_uv as `签到页-转化点击立即支付uv`
+		,T3.sign_msg_uv as `签到页-转化点击私信咨询uv`
+		,concat(round(T2.sign_uv/T1.sign_uv*100,2),'%') as `签到页-转化uv率`
+		,concat(round(T2.sign_uv/T1.wel_uv*100,2),'%') as `签到页-转化美购uv占比`
+		,concat(round(T3.sign_add_uv/T2.sign_uv*100,2),'%') as `签到页-点击加车率`
+		,concat(round(T3.sign_buy_uv/T2.sign_uv*100,2),'%') as `签到页-点击立即支付率`
+		,concat(round(T3.sign_msg_uv/T2.sign_uv*100,2),'%') as `签到页-点击私信咨询率`
+		,T1.ai_report_uv as `AI结果页uv`
+		,T2.ai_report_uv as `AI结果页-转化uv`
+		,T3.ai_add_uv as `AI结果页-转化点击加车uv`
+		,T3.ai_buy_uv as `AI结果页-转化点击立即支付uv`
+		,T3.ai_msg_uv as `AI结果页-转化点击私信咨询uv`
+		,concat(round(T2.ai_report_uv/T1.ai_report_uv*100,2),'%') as `AI结果页-转化uv率`
+		,concat(round(T2.ai_report_uv/T1.wel_uv*100,2),'%') as `AI结果页-转化美购uv占比`
+		,concat(round(T3.ai_add_uv/T2.ai_report_uv*100,2),'%') as `AI结果页-点击加车率`
+		,concat(round(T3.ai_buy_uv/T2.ai_report_uv*100,2),'%') as `AI结果页-点击立即支付率`
+		,concat(round(T3.ai_msg_uv/T2.ai_report_uv*100,2),'%') as `AI结果页-点击私信咨询率`
+		,T1.zone_uv as `内容聚合页uv`
+		,T2.zone_uv as `内容聚合页-转化uv`
+		,T3.zone_add_uv as `内容聚合页-转化点击加车uv`
+		,T3.zone_buy_uv as `内容聚合页-转化点击立即支付uv`
+		,T3.zone_msg_uv as `内容聚合页-转化点击私信咨询uv`
+		,concat(round(T2.zone_uv/T1.zone_uv*100,2),'%') as `内容聚合页-转化uv率`
+		,concat(round(T2.zone_uv/T1.wel_uv*100,2),'%') as `内容聚合页-转化美购uv占比`
+		,concat(round(T3.zone_add_uv/T2.zone_uv*100,2),'%') as `内容聚合页-点击加车率`
+		,concat(round(T3.zone_buy_uv/T2.zone_uv*100,2),'%') as `内容聚合页-点击立即支付率`
+		,concat(round(T3.zone_msg_uv/T2.zone_uv*100,2),'%') as `内容聚合页-点击私信咨询率`
+
+FROM
+(--能够走向美购详情页的各页面uv/uv
+	SELECT t1.partition_date
+			,t1.device_type
+			,t1.active_type
+			,t2.channel
+			,count(case when page_name = 'welfare_detail' then t1.cl_id end) as wel_uv
+			,count(case when page_name = 'search_result_more' then t1.cl_id end) as search_result_more_uv
+			,count(case when page_name = 'search_result_welfare' then t1.cl_id end) as search_result_welfare_uv
+			,count(case when page_name = 'organization_detail' then t1.cl_id end) as organization_detail_uv
+			,count(case when page_name = 'expert_detail' then t1.cl_id end) as expert_detail_uv
+			,count(case when page_name = 'category' then t1.cl_id end) as category_uv
+			,count(case when page_name = 'welfare_list' then t1.cl_id end) as welfare_list_uv
+			,count(case when page_name = 'welfare_home' then t1.cl_id end) as welfare_home_uv
+			,count(case when page_name = 'conversation_detail' then t1.cl_id end) as conversation_detail_uv
+			,count(case when page_name = 'my_cart' then t1.cl_id end) as my_cart_uv
+			,count(case when page_name = 'diary_detail' then t1.cl_id end) as diary_detail_uv
+			,count(case when page_name = 'order_detail' then t1.cl_id end) as order_detail_uv
+			,count(case when page_name ='new_sign' then t1.cl_id end) as sign_uv
+			,count(case when page_name in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') then t1.cl_id end) as special_uv --专题和大促
+			,count(case when page_name = 'zone_v3' then t1.cl_id end) as zone_uv
+			,count(case when page_name in ('report_result','face_detect_result') then t1.cl_id end) as ai_report_uv --待之后增加模拟整形页面
+	FROM
+	(
+		SELECT t1.partition_date,t1.page_name,t1.cl_id,mas.device_type,mas.active_type,mas.channel
+		FROM
+		(
+			SELECT partition_date,page_name,cl_id
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >=regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='page_view'
+		)t1
+		JOIN
+		(
+			SELECT  partition_date,device_os_type as device_type,m.device_id
+            ,case WHEN active_type = '4'  THEN '老活跃设备'
+                  WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+            ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                or first_channel_source_type like '%mailuo%' THEN '可疑'
+                        WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                                or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                                or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                                THEN 'AI'  ELSE '其他' END , '合计') as channel
+            FROM online.ml_device_day_active_status m
+                LEFT JOIN
+                (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
+                   FROM pm.tl_pm_ydl
+                   WHERE col3='0204_danlei_channel')tmp
+                on first_channel_source_type=tmp.col1
+                LEFT JOIN
+                (SELECT DISTINCT device_id
+                   FROM al.al_pm_ct_dv_deviceappversionrollbackfrom20190101_d
+                   WHERE partition_day = regexp_replace(DATE_SUB(current_date,2) ,'-',''))a
+                ON m.device_id = a.device_id
+            where partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			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','','unknown')
+            AND first_channel_source_type not like 'promotion\_jf\_%'
+		)mas
+		ON t1.cl_id=mas.device_id
+		  AND t1.partition_date=mas.partition_date
+		LEFT JOIN
+		( -- 去掉疑似机构刷量的pV和UV
+	        SELECT distinct device_id
+            FROM ml.ml_d_ct_dv_devicespam_d
+            WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+	    )spam_pv
+	    on t1.cl_id=spam_pv.device_id
+	    WHERE spam_pv.device_id IS NULL
+	)t1
+    LATERAL VIEW explode(t1.channel) t2 AS channel
+    GROUP BY t1.partition_date,t1.device_type,t1.active_type,t2.channel
+)T1
+LEFT JOIN
+(--不同referrer下的美购详情页uv/uv
+	SELECT t1.partition_date
+			,t1.device_type
+			,t1.active_type
+			,t2.channel
+			,count(case when referrer = 'welfare_detail' then t1.cl_id end) as wel_uv
+			,count(case when referrer = 'search_result_more' then t1.cl_id end) as search_result_more_uv
+			,count(case when referrer = 'search_result_welfare' then t1.cl_id end) as search_result_welfare_uv
+			,count(case when referrer = 'organization_detail' then t1.cl_id end) as organization_detail_uv
+			,count(case when referrer = 'expert_detail' then t1.cl_id end) as expert_detail_uv
+			,count(case when referrer = 'category' then t1.cl_id end) as category_uv
+			,count(case when referrer = 'welfare_list' then t1.cl_id end) as welfare_list_uv
+			,count(case when referrer = 'welfare_home' then t1.cl_id end) as welfare_home_uv
+			,count(case when referrer = 'conversation_detail' then t1.cl_id end) as conversation_detail_uv
+			,count(case when referrer = 'my_cart' then t1.cl_id end) as my_cart_uv
+			,count(case when referrer = 'diary_detail' then t1.cl_id end) as diary_detail_uv
+			,count(case when referrer = 'order_detail' then t1.cl_id end) as order_detail_uv
+			,count(case when referrer ='new_sign' then t1.cl_id end) as sign_uv
+			,count(case when referrer in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') then t1.cl_id end) as special_uv --专题和大促
+			,count(case when referrer = 'zone_v3' then t1.cl_id end) as zone_uv
+			,count(case when referrer in ('report_result','face_detect_result') then t1.cl_id end) as ai_report_uv --待之后增加模拟整形页面
+	FROM
+	(
+		SELECT t1.partition_date,t1.referrer,t1.cl_id,mas.device_type,mas.active_type,mas.channel
+		FROM
+		(
+			SELECT partition_date,referrer,cl_id
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action='page_view'
+		)t1
+		JOIN
+		(
+			SELECT  partition_date,device_os_type as device_type,m.device_id
+            ,case WHEN active_type = '4'  THEN '老活跃设备'
+                  WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+            ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                or first_channel_source_type like '%mailuo%' THEN '可疑'
+                        WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                                or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                                or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                                THEN 'AI'  ELSE '其他' END , '合计') as channel
+            FROM online.ml_device_day_active_status m
+                LEFT JOIN
+                (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
+                   FROM pm.tl_pm_ydl
+                   WHERE col3='0204_danlei_channel')tmp
+                on first_channel_source_type=tmp.col1
+                LEFT JOIN
+                (SELECT DISTINCT device_id
+                   FROM al.al_pm_ct_dv_deviceappversionrollbackfrom20190101_d
+                   WHERE partition_day = regexp_replace(DATE_SUB(current_date,2) ,'-',''))a
+                ON m.device_id = a.device_id
+            where partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			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','','unknown')
+            AND first_channel_source_type not like 'promotion\_jf\_%'
+		)mas
+		ON t1.cl_id=mas.device_id
+		  AND t1.partition_date=mas.partition_date
+		LEFT JOIN
+		( -- 去掉疑似机构刷量的pV和UV
+	        SELECT distinct device_id
+            FROM ml.ml_d_ct_dv_devicespam_d
+            WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+	    )spam_pv
+	    on t1.cl_id=spam_pv.device_id
+	    WHERE spam_pv.device_id IS NULL
+	)t1
+    LATERAL VIEW explode(t1.channel) t2 AS channel
+    GROUP BY t1.partition_date,t1.device_type,t1.active_type,t2.channel
+)T2
+ON T1.partition_date=T2.partition_date
+  and T1.device_type=T2.device_type
+  AND T1.active_type=T2.active_type
+  AND T1.channel=T2.channel
+LEFT JOIN
+(--点击加车/支付/私信的不同来源
+	SELECT t1.partition_date
+			,t1.device_type
+			,t1.active_type
+			,t2.channel
+			,count(case when referrer = 'welfare_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as wel_add_uv
+			,count(case when referrer = 'welfare_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as wel_buy_uv
+			,count(case when referrer = 'welfare_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as wel_msg_uv
+			,count(case when referrer = 'search_result_more' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as result_more_add_uv
+			,count(case when referrer = 'search_result_more' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as result_more_buy_uv
+			,count(case when referrer = 'search_result_more' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as result_more_msg_uv
+			,count(case when referrer = 'search_result_welfare' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as result_wel_add_uv
+			,count(case when referrer = 'search_result_welfare' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as result_wel_buy_uv
+			,count(case when referrer = 'search_result_welfare' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as result_wel_msg_uv
+			,count(case when referrer = 'organization_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as org_add_uv
+			,count(case when referrer = 'organization_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as org_buy_uv
+			,count(case when referrer = 'organization_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as org_msg_uv
+			,count(case when referrer = 'expert_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as exp_add_uv
+			,count(case when referrer = 'expert_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as exp_buy_uv
+			,count(case when referrer = 'expert_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as exp_msg_uv
+			,count(case when referrer = 'category' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as category_add_uv
+			,count(case when referrer = 'category' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as category_buy_uv
+			,count(case when referrer = 'category' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as category_msg_uv
+			,count(case when referrer = 'welfare_list' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as wel_list_add_uv
+			,count(case when referrer = 'welfare_list' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as wel_list_buy_uv
+			,count(case when referrer = 'welfare_list' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as wel_list_msg_uv
+			,count(case when referrer = 'welfare_home' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as wel_home_add_uv
+			,count(case when referrer = 'welfare_home' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as wel_home_buy_uv
+			,count(case when referrer = 'welfare_home' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as wel_home_msg_uv
+			,count(case when referrer = 'conversation_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as conv_add_uv
+			,count(case when referrer = 'conversation_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as conv_buy_uv
+			,count(case when referrer = 'conversation_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as conv_msg_uv
+			,count(case when referrer = 'my_cart' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as cart_add_uv
+			,count(case when referrer = 'my_cart' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as cart_buy_uv
+			,count(case when referrer = 'my_cart' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as cart_msg_uv
+			,count(case when referrer = 'diary_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as diary_add_uv
+			,count(case when referrer = 'diary_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as diary_buy_uv
+			,count(case when referrer = 'diary_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as diary_msg_uv
+			,count(case when referrer = 'order_detail' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as order_add_uv
+			,count(case when referrer = 'order_detail' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as order_buy_uv
+			,count(case when referrer = 'order_detail' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as order_msg_uv
+			,count(case when referrer = 'new_sign' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as sign_add_uv
+			,count(case when referrer = 'new_sign' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as sign_buy_uv
+			,count(case when referrer = 'new_sign' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as sign_msg_uv
+			,count(case when referrer in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as special_add_uv
+			,count(case when referrer in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as special_buy_uv
+			,count(case when referrer in ('special_polymer','newt_welfare_special','welfare_special','activity_promotion_seckill','activity_promotion','custom_special') and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as special_msg_uv
+			,count(case when referrer = 'zone_v3' and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as zone_add_uv
+			,count(case when referrer = 'zone_v3' and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as zone_buy_uv
+			,count(case when referrer = 'zone_v3' and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as zone_msg_uv
+			,count(case when referrer in ('report_result','face_detect_result') and action = 'welfare_multiattribute_click_add' then t1.cl_id end) as ai_add_uv
+			,count(case when referrer in ('report_result','face_detect_result') and action = 'welfare_multiattribute_click_buy' then t1.cl_id end) as ai_buy_uv
+			,count(case when referrer in ('report_result','face_detect_result') and action in ('welfare_detail_click_message','on_click_button') then t1.cl_id end) as ai_msg_uv
+
+	FROM
+	(
+		SELECT t1.partition_date,t1.referrer,t1.action,t1.cl_id,mas.device_type,mas.active_type,mas.channel
+		FROM
+		(   --点击加车/支付
+			SELECT partition_date,referrer,action,cl_id
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >=regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    AND page_name = 'welfare_detail'
+			AND action in ('welfare_multiattribute_click_add','welfare_multiattribute_click_buy')
+
+			UNION ALL
+			--点击私信按钮
+			SELECT partition_date,referrer,action,cl_id
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date >=regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			AND partition_date < regexp_replace((current_date),'-','')
+		    --AND page_name = 'welfare_detail'
+			AND action='welfare_detail_click_message'
+
+			UNION ALL
+			--点击私信区域(目前referrer缺失,故通过拆解referrer_link的方式获得)
+			SELECT partition_date,referrer,action,cl_id
+			FROM
+			(
+			    SELECT partition_date,cl_id,action,t2.referrer as referrer
+			            ,row_number () over (PARTITION BY t1.referrer_link,t1.cl_id ORDER BY t2.link_id desc) as rank
+			    from
+			    (   SELECT partition_date,params['referrer_link'] as referrer_link,cl_id,action
+			            ,json_split(params['referrer_link'],'string') as a
+					FROM online.bl_hdfs_maidian_updates
+					WHERE partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+					AND partition_date < regexp_replace((current_date),'-','')
+				    AND page_name = 'welfare_detail'
+					AND action='on_click_button'
+					AND params['button_name'] in ('question_tag','appointment')
+				)t1
+				lateral view posexplode(a) t2 as link_id,referrer
+			)t3
+			where rank=1
+
+		)t1
+		JOIN
+		(
+			SELECT  partition_date,device_os_type as device_type,m.device_id
+            ,case WHEN active_type = '4'  THEN '老活跃设备'
+                  WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+            ,array(CASE WHEN first_channel_source_type like '%xinyouxingkong%' or a.device_id is not NULL
+                                or first_channel_source_type in ('promotion_aisi','promotion_koomobi_km00','promotion_koomobi_km01')
+                                or first_channel_source_type like '%longyuzhixing%' or first_channel_source_type like '%jingmeng%'
+                                or first_channel_source_type like '%mailuo%' THEN '可疑'
+                        WHEN (partition_date>='20190601' and tmp.col2 = 'AI')
+                                or (partition_date < '20200301' AND partition_date>='20190601' and first_channel_source_type like 'promotion_toutiao_jy%')
+                                or (partition_date>='20200601' and ((first_channel_source_type like 'promotion_toutiao_jy%') or (first_channel_source_type like 'dyand%') or (first_channel_source_type like 'douyin%')))
+                                THEN 'AI'  ELSE '其他' END , '合计') as channel
+            FROM online.ml_device_day_active_status m
+                LEFT JOIN
+                (SELECT col1,col2  --col1:子渠道，col2：是否属于AI，col3:标识
+                   FROM pm.tl_pm_ydl
+                   WHERE col3='0204_danlei_channel')tmp
+                on first_channel_source_type=tmp.col1
+                LEFT JOIN
+                (SELECT DISTINCT device_id
+                   FROM al.al_pm_ct_dv_deviceappversionrollbackfrom20190101_d
+                   WHERE partition_day = regexp_replace(DATE_SUB(current_date,2) ,'-',''))a
+                ON m.device_id = a.device_id
+            where partition_date >= regexp_replace(DATE_SUB(current_date,90) ,'-','')
+			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','','unknown')
+            AND first_channel_source_type not like 'promotion\_jf\_%'
+		)mas
+		ON t1.cl_id=mas.device_id
+		  AND t1.partition_date=mas.partition_date
+		LEFT JOIN
+		( -- 去掉疑似机构刷量的PV和UV
+	        SELECT distinct device_id
+            FROM ml.ml_d_ct_dv_devicespam_d
+            WHERE partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+	    )spam_pv
+	    on t1.cl_id=spam_pv.device_id
+	    WHERE spam_pv.device_id IS NULL
+	)t1
+    LATERAL VIEW explode(t1.channel) t2 AS channel
+    GROUP BY t1.partition_date,t1.device_type,t1.active_type,t2.channel
+)T3
+ON T1.partition_date=T3.partition_date
+  and T1.device_type=T3.device_type
+  AND T1.active_type=T3.active_type
+  AND T1.channel=T3.channel
+ORDER BY `日期` desc,`设备类型`,`活跃类型`,`渠道`
+

pm/search_related/en-cn.properties

+search_click_path=分搜索入口的搜索框点击数据
+search_input_type=分搜索方式近7天数据
+search_result_click_rate=分搜索词转化率数据
+search_related=分搜索方式及搜索词日报
\ No newline at end of file

tables/search_related/create_search_click_path.sql → pm/search_related/etl/create_search_click_path.sql

 --***************************************************************
---*脚本名称: create_pm_c_op_co_content_dimen_d.sql
---*功能: 内容日报
+--*脚本名称:
+--*功能: 分搜索入口搜索日报
 --*业务名称: pm
 --*输入数据:
 --*作者: weiyimin@igengmei.com
---*更新时间: 2020-5-25 11:00
+--*更新时间:
 --***************************************************************
 
 --设置全局变量&UDF

tables/search_related/create_search_input_type.sql → pm/search_related/etl/create_search_input_type.sql

 --***************************************************************
---*脚本名称: create_pm_c_op_co_content_dimen_d.sql
---*功能: 内容日报
+--*脚本名称:
+--*功能: 分搜索方式日报
 --*业务名称: pm
 --*输入数据:
 --*作者: weiyimin@igengmei.com
---*更新时间: 2020-5-25 11:00
+--*更新时间:
 --***************************************************************
 
 --设置全局变量&UDF

tables/search_related/create_search_result_click_rate.sql → pm/search_related/etl/create_search_result_click_rate.sql

 --***************************************************************
---*脚本名称: create_pm_c_op_co_content_dimen_d.sql
---*功能: 内容日报
+--*脚本名称:
+--*功能: 分搜索关键词转化日报
 --*业务名称: pm
 --*输入数据:
 --*作者: weiyimin@igengmei.com
---*更新时间: 2020-5-25 11:00
+--*更新时间:
 --***************************************************************
 
 --设置全局变量&UDF

sqls/search_related_insert/search_result_click_rate_insert.sql → pm/search_related/etl/search_related.sql

-INSERT OVERWRITE TABLE pm.tl_pm_search_result_click_rate_d PARTITION (PARTITION_DAY = #partition_day)
+SET mapreduce.job.queuename=data;
+SET mapreduce.map.memory.mb=8192;
+SET mapreduce.map.java.opts=-Xmx8000m;
+SET mapreduce.reduce.memory.mb=8192;
+SET mapreduce.reduce.java.opts=-Xmx8000m;
+set hive.auto.convert.join=true;
+SET mapred.reduce.tasks=20;
+SET role admin;
+
+INSERT OVERWRITE TABLE pm.tl_pm_search_click_path_d PARTITION (PARTITION_DAY = ${partition_day})
+
+SELECT day_id as day_id
+			,device_os_type as device_os_type
+			,active_type as active_type
+			,v.search_entrance as search_entrance
+			,sum(search_pv) as click_search_pv
+			,sum(search_uv) as click_search_uv
+FROM
+(
+	SELECT day_id,device_os_type,active_type,array(search_entrance,'合计') as search_entrance
+			,search_pv,search_uv
+	FROM
+	(
+		SELECT t1.partition_date as day_id
+				,t1.device_os_type
+				,t1.active_type
+				,case when action='on_click_navbar_search' and page_name='home' then '首页搜索框'
+					  when action='on_click_navbar_search' and page_name='welfare_home' then '美购首页搜索框'
+					  when action='on_click_navbar_search' and page_name='category' then '品类聚合页搜索框'
+					  when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["home","category"]' then '来自品类聚合的美购列表页搜索框'
+					  when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["welfare_home"]' then '来自美购首页的美购列表页搜索框'
+					  when action in ('do_search','on_click_navbar_search')
+					       and page_name in ('diary_detail','topic_detail','post_detail','user_post_detail'
+					       	,'doctor_post_detail','question_detail','answer_detail','question_answer_detail')  then '内容详情页搜索框'
+					  when action ='详情页高亮词' then '详情页高亮词搜索'
+					  when action='大家都在看' then '首页feed大家都在看'
+					  when action='热搜词' then '美购首页热搜词' else null end as search_entrance
+				,count(cl_id) as search_pv
+				,count(distinct cl_id) as search_uv
+		FROM
+		(
+			SELECT partition_date,device_os_type
+			,case WHEN active_type = '4'  THEN '老活跃设备'
+				  WHEN active_type  in ('1','2')  then '新增设备' END as active_type
+			,device_id
+			FROM online.ml_device_day_active_status
+			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			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
+		(
+			SELECT partition_date,cl_id,page_name,action,params['referrer_link'] as referrer_link
+			FROM online.bl_hdfs_maidian_updates
+			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			and action in ('do_search','on_click_navbar_search')
+
+			union all
+
+			SELECT partition_date,cl_id,null as page_name,'大家都在看' as action, null as referrer_link
+			FROM online.bl_hdfs_maidian_updates
+			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			AND action = 'on_click_card'
+			AND params['in_page_pos']='猜你喜欢'
+			AND params['tab_name']='精选'
+			AND params['card_type']='search_word'
+			--AND page_name='home' android的page_name为空
+
+			union all
+
+			SELECT partition_date,cl_id,page_name,'热搜词' as action, null as referrer_link
+			FROM online.bl_hdfs_maidian_updates
+			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			AND action = 'on_click_card'
+			AND page_name='welfare_home'
+			AND params['card_type'] ='search_word'
+			AND params['in_page_pos']='大家都在搜'
+
+			union all
+
+			select 	partition_date,cl_id,null as page_name,'详情页高亮词' as action,null as referrer_link
+			from online.bl_hdfs_maidian_updates
+			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			and action='on_click_card'
+			and params['card_type']='highlight_word'
+		)t2
+		on t1.partition_date=t2.partition_date and t1.device_id=t2.cl_id
+		group by t1.partition_date
+				,t1.device_os_type
+				,t1.active_type
+				,case when action='on_click_navbar_search' and page_name='home' then '首页搜索框'
+					  when action='on_click_navbar_search' and page_name='welfare_home' then '美购首页搜索框'
+					  when action='on_click_navbar_search' and page_name='category' then '品类聚合页搜索框'
+					  when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["home","category"]' then '来自品类聚合的美购列表页搜索框'
+					  when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["welfare_home"]' then '来自美购首页的美购列表页搜索框'
+					  when action in ('do_search','on_click_navbar_search')
+					       and page_name in ('diary_detail','topic_detail','post_detail','user_post_detail'
+					       	,'doctor_post_detail','question_detail','answer_detail','question_answer_detail')  then '内容详情页搜索框'
+					  when action ='详情页高亮词' then '详情页高亮词搜索'
+					  when action='大家都在看' then '首页feed大家都在看'
+					  when action='热搜词' then '美购首页热搜词' else null end
+		having search_entrance is not null
+	)t
+)n
+LATERAL VIEW explode(n.search_entrance) v AS search_entrance
+group by day_id,device_os_type,active_type,v.search_entrance;
+
+
+
+INSERT OVERWRITE TABLE pm.tl_pm_search_input_type_d PARTITION (PARTITION_DAY = ${partition_day})
+
+SELECT partition_date as day_id
+			,t1.query
+			,t2.input_type
+			,sum(t1.all_search_pv) as search_pv
+	FROM
+	(
+		SELECT
+			partition_date
+			,query
+			,array(case when input_type in ('联想','聚合模块') then 'sug点击' else input_type end,'全部') as input_type
+			,count(click.cl_id) as all_search_pv
+			,count(distinct click.cl_id) as all_search_uv
+		FROM
+		(
+			SELECT cl_id
+				,partition_date
+				,case when params['input_type'] in ('热门','related_search') then '发现' else params['input_type'] end as input_type
+				,params['query'] as query
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			  AND action in ('do_search','search_result_click_search')
+
+			union all
+
+			SELECT cl_id
+				,partition_date
+				,'首页精选大家都在看' as input_type
+				,params['card_name'] as query
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			  AND action = 'on_click_card'
+			  AND params['in_page_pos']='猜你喜欢'
+			  AND params['tab_name']='精选'
+			  AND params['card_type']='search_word'
+			  --AND page_name='home' android的page_name为空
+
+			union all
+
+			SELECT cl_id
+				,partition_date
+				,'美购首页热搜词' as input_type
+				,params['card_name'] as query
+			FROM online.bl_hdfs_maidian_updates
+			WHERE partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			  AND action = 'on_click_card'
+			  AND page_name='welfare_home'
+			  AND params['card_type'] ='search_word'
+			  AND params['in_page_pos']='大家都在搜'
+
+			  union all
+
+			select 	cl_id
+					,partition_date
+					,'详情页高亮词' as input_type
+					,params['card_name'] as query
+			from online.bl_hdfs_maidian_updates
+			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			and int(split(app_version,'\\.')[1]) >= 27
+			and action='on_click_card'
+			and params['card_type']='highlight_word'
+
+		)click
+		JOIN
+		(
+		    SELECT device_id
+		    from online.ml_device_history_detail
+		    WHERE partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		    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\_%'
+		)dev_channel
+		  on dev_channel.device_id = click.cl_id
+		GROUP BY partition_date,query,case when input_type in ('联想','聚合模块') then 'sug点击' else input_type end
+	)t1
+	LATERAL VIEW explode(t1.input_type) t2 AS input_type
+	GROUP BY t1.partition_date,t1.query,t2.input_type;
+
+
+INSERT OVERWRITE TABLE pm.tl_pm_search_result_click_rate_d PARTITION (PARTITION_DAY = ${partition_day})
 
 --搜索关键词日报,取近7天数据，每天取关键词搜索量前500
 
@@ -119,7 +320,6 @@ from
 	where rank<=300
 )t1
 
-
 left join
 --综合、美购、日记页面浏览pv
 (
@@ -430,11 +630,4 @@ left join
 
 on t1.partition_date=t2.partition_date
  and t1.query=t2.query
-order by day_id desc,search_pv desc,query
-
-
-
-
-
-
-
+order by day_id desc,search_pv desc,query;
\ No newline at end of file

jobs/search_related/step1_2.job → pm/search_related/job/step1_2.job

 #step1_2.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
+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_5.job → pm/search_related/job/step1_5.job

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

pm/search_related/job/step2.job

+#step2.job
+type=command
+dependencies=step1_1,step1_2,step1_3,step1_4,step1_5
+command=/home/bi/bi-report/lib/shell/hive search_related
\ No newline at end of file

pm/search_related/job/step3.job

+#step3.job
+type=command
+dependencies=step2
+command=curl -X GET http://localhost:8553/api/report/email/search_related/liudi@igengmei.com,wangxin@igengmei.com,malinxi@igengmei.com,duanyingrong@igengmei.com,dengguangyu@igengmei.com/zhaofei@igengmei.com,yindanlei@igengmei.com,weiyimin@igengmei.com,zhaojianwei@igengmei.com
\ No newline at end of file

pm/search_related/report/search_input_type.sql

+
+--近7天搜索方式的搜索量
+SELECT regexp_replace(DATE_SUB(current_date,1) ,'-','') AS `日期`,
+        T4.QUERY AS `搜索词`,
+        T4.INPUT_TYPE AS `搜索类型`,
+        T4.SEARCH_PV AS `搜索量`
+FROM
+       (SELECT T3.*
+        FROM (SELECT T2.*,
+               SUM(SEARCH_PV_ALL) OVER(PARTITION BY T2.QUERY) SEARCH_PV_SUM,
+               ROW_NUMBER() OVER(PARTITION BY T2.QUERY ORDER BY SEARCH_PV DESC) SEARCH_PV_GROUP_SUM,
+               DENSE_RANK() OVER(ORDER BY SUM(SEARCH_PV_ALL) OVER(PARTITION BY T2.QUERY) DESC,T2.QUERY) SEARCH_PV_GROUP
+          FROM (SELECT T1.*,
+                       CASE
+                         WHEN INPUT_TYPE = '全部' THEN
+                          0
+                         ELSE
+                          1
+                       END INPUT_TYPE_RANK,
+                       CASE
+                         WHEN INPUT_TYPE = '全部' THEN
+                          SEARCH_PV
+                         ELSE
+                          0
+                       END SEARCH_PV_ALL
+                   FROM (SELECT QUERY,INPUT_TYPE,SUM(SEARCH_PV) AS SEARCH_PV
+                          FROM PM.TL_PM_SEARCH_INPUT_TYPE_D T
+                         WHERE T.PARTITION_DAY >= regexp_replace(DATE_SUB(current_date,7) ,'-','')
+                         AND T.PARTITION_DAY<regexp_replace((current_date),'-','')
+                         AND T.DAY_ID >= regexp_replace(DATE_SUB(current_date,7) ,'-','')
+                         AND T.DAY_ID<regexp_replace((current_date),'-','')
+                         GROUP BY T.QUERY,T.INPUT_TYPE) T1) T2)T3
+                    WHERE SEARCH_PV_GROUP<=300
+                    ORDER BY T3.SEARCH_PV_SUM DESC,
+                              T3.QUERY,
+                              T3.INPUT_TYPE_RANK,
+                              T3.SEARCH_PV_GROUP_SUM)T4
\ No newline at end of file

sqls/search_related/search_result_click_rate.sql → pm/search_related/report/search_result_click_rate.sql

@@ -5,17 +5,17 @@ SELECT
 		,query AS `关键词`
 		,search_pv AS `搜索量`
 		,search_uv AS `搜索uv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_pv*100/t2.page_more_pv,2) ,'%') else 0 end, 0) as `搜索综合结果页内容卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_10_pv*100/t2.page_more_pv,2) ,'%')  else 0 end,0) as `搜索综合结果页前10内容卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_5_diary_pv*100/t2.page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5日记卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_5_answer_pv*100/t2.page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5问答卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_5_topic_pv*100/t2.page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5帖子卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_wel_pv,0)>0 then concat(round(t2.wel_click_pv*100/t2.page_wel_pv,2),'%') else 0 end,0) as `搜索美购结果页卡片点击PV/搜索美购结果页pv`
-        ,NVL(case when NVL(t2.page_wel_pv,0)>0 then concat(round(t2.wel_click_10_pv*100/t2.page_wel_pv,2),'%')  else 0 end,0) as `搜索美购结果页前10卡片点击PV/搜索美购结果页pv`
-        ,NVL(case when NVL(t2.page_wel_pv,0)>0 then concat(round(t2.wel_click_5_pv*100/t2.page_wel_pv,2),'%')  else 0 end,0) as `搜索美购结果页前5卡片点击PV/搜索美购结果页pv`
-        ,NVL(case when NVL(t2.page_diary_pv,0)>0 then concat(round(t2.diary_click_pv*100/t2.page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页卡片点击PV/搜索日记结果页pv`
-        ,NVL(case when NVL(t2.page_diary_pv,0)>0 then concat(round(t2.diary_click_10_pv*100/t2.page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页前10卡片点击PV/搜索日记结果页pv`
-        ,NVL(case when NVL(t2.page_diary_pv,0)>0 then concat(round(t2.diary_click_5_pv*100/t2.page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页前5卡片点击PV/搜索日记结果页pv`
+        ,NVL(case when NVL(page_more_pv,0)>0 then concat(round(more_click_pv*100/page_more_pv,2) ,'%') else 0 end, 0) as `搜索综合结果页内容卡片点击PV/搜索综合结果页浏览pv`
+        ,NVL(case when NVL(page_more_pv,0)>0 then concat(round(more_click_10_pv*100/page_more_pv,2) ,'%')  else 0 end,0) as `搜索综合结果页前10内容卡片点击PV/搜索综合结果页浏览pv`
+        ,NVL(case when NVL(page_more_pv,0)>0 then concat(round(more_click_5_diary_pv*100/page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5日记卡片点击PV/搜索综合结果页浏览pv`
+        ,NVL(case when NVL(page_more_pv,0)>0 then concat(round(more_click_5_answer_pv*100/page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5问答卡片点击PV/搜索综合结果页浏览pv`
+        ,NVL(case when NVL(page_more_pv,0)>0 then concat(round(more_click_5_topic_pv*100/page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5帖子卡片点击PV/搜索综合结果页浏览pv`
+        ,NVL(case when NVL(page_wel_pv,0)>0 then concat(round(wel_click_pv*100/page_wel_pv,2),'%') else 0 end,0) as `搜索美购结果页卡片点击PV/搜索美购结果页pv`
+        ,NVL(case when NVL(page_wel_pv,0)>0 then concat(round(wel_click_10_pv*100/page_wel_pv,2),'%')  else 0 end,0) as `搜索美购结果页前10卡片点击PV/搜索美购结果页pv`
+        ,NVL(case when NVL(page_wel_pv,0)>0 then concat(round(wel_click_5_pv*100/page_wel_pv,2),'%')  else 0 end,0) as `搜索美购结果页前5卡片点击PV/搜索美购结果页pv`
+        ,NVL(case when NVL(page_diary_pv,0)>0 then concat(round(diary_click_pv*100/page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页卡片点击PV/搜索日记结果页pv`
+        ,NVL(case when NVL(page_diary_pv,0)>0 then concat(round(diary_click_10_pv*100/page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页前10卡片点击PV/搜索日记结果页pv`
+        ,NVL(case when NVL(page_diary_pv,0)>0 then concat(round(diary_click_5_pv*100/page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页前5卡片点击PV/搜索日记结果页pv`
 		,search_more_pv AS `综合tab下的搜索的点击pv`
 		,page_more_pv AS `搜索综合结果页浏览PV`
 		,more_click_pv AS `搜索综合结果页内容卡片点击PV`
@@ -36,4 +36,6 @@ SELECT
 
 FROM pm.tl_pm_search_result_click_rate_d
 WHERE partition_day>='20200619' and partition_day<=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+and day_id>=regexp_replace(DATE_SUB(current_date,7) ,'-','')
+and day_id<=regexp_replace(DATE_SUB(current_date,1) ,'-','')
 order by `日期` desc,`搜索量` desc,`关键词`

shells/daily_recommend_strategy/daily_recommend_strategy.sh

-#!/bin/bash
-
-# 定义变量方便修改
-#hive="/opt/spark/spark-2.4.5-bin-hadoop2.7/bin/beeline -u jdbc:hive2://bj-gm-prod-cos-datacenter003:10010 -n data"
-hive="/opt/hive/hive-1.1.0-cdh5.16.1/bin/beeline -u jdbc:hive2://bj-gm-prod-cos-datacenter005:10000 -n data"
-
-# 如果是输入的日期按照取输入日期；如果没输入日期取当前时间的前一天
-if [ -n "$1" ] ;then
-  partition_day=$1
-else
-  partition_day=`date --date="-1 day" +%Y%m%d`
-fi
-
-sql="
-
-SET mapreduce.job.queuename=pm;
-SET mapreduce.map.memory.mb=8192;
-SET mapreduce.map.java.opts=-Xmx8000m;
-SET mapreduce.reduce.memory.mb=8192;
-SET mapreduce.reduce.java.opts=-Xmx8000m;
-set hive.auto.convert.join=true;
-SET mapred.reduce.tasks=20;
-SET role admin;
-
-ADD JAR hdfs:///user/hive/share/lib/udf/hive-udf-1.0-SNAPSHOT.jar;
-CREATE TEMPORARY FUNCTION convup AS 'com.gmei.hive.common.udf.UDFConvUpgrade';
-
-INSERT OVERWRITE TABLE pm.tl_pm_recommend_strategy_d PARTITION (PARTITION_DAY =$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,device_os_type,active_type,card_content_type,recommend_type;
-
-"
-$hive -e "$sql"
\ 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>='20200619' and partition_day<=regexp_replace(DATE_SUB(current_date,1) ,'-','')
-order by `日期` desc ,`设备类型`,`活跃类型`,`卡片类型`,`推荐类型`

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 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 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 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 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 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 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 (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 (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 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,device_os_type,active_type,card_content_type,recommend_type
-
-

sqls/demo/demo.sql

-SET mapreduce.job.queuename=data;
-SET mapreduce.map.memory.mb=8192;
-SET mapreduce.map.java.opts=-Xmx8000m;
-SET mapreduce.reduce.memory.mb=8192;
-SET mapreduce.reduce.java.opts=-Xmx8000m;
-set hive.auto.convert.join=true;
-SET mapred.reduce.tasks=20;
-SET role admin;
-
-INSERT OVERWRITE TABLE pm.tl_pm_search_click_path_d PARTITION (PARTITION_DAY = ${partition_day})
-
-SELECT day_id as day_id
-     ,device_os_type as device_os_type
-     ,active_type as active_type
-     ,v.search_entrance as search_entrance
-     ,sum(search_pv) as click_search_pv
-     ,sum(search_uv) as click_search_uv
-FROM
-    (
-        SELECT day_id,device_os_type,active_type,array(search_entrance,'合计') as search_entrance
-             ,search_pv,search_uv
-        FROM
-            (
-                SELECT t1.partition_date as day_id
-                     ,t1.device_os_type
-                     ,t1.active_type
-                     ,case when action='on_click_navbar_search' and page_name='home' then '首页搜索框'
-                           when action='on_click_navbar_search' and page_name='welfare_home' then '美购首页搜索框'
-                           when action='on_click_navbar_search' and page_name='category' then '品类聚合页搜索框'
-                           when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["home","category"]' then '来自品类聚合的美购列表页搜索框'
-                           when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["welfare_home"]' then '来自美购首页的美购列表页搜索框'
-                           when action in ('do_search','on_click_navbar_search')
-                               and page_name in ('diary_detail','topic_detail','post_detail','user_post_detail'
-                                   ,'doctor_post_detail','question_detail','answer_detail','question_answer_detail')  then '内容详情页搜索框'
-                           when action ='详情页高亮词' then '详情页高亮词搜索'
-                           when action='大家都在看' then '首页feed大家都在看'
-                           when action='热搜词' then '美购首页热搜词' else null end as search_entrance
-                     ,count(cl_id) as search_pv
-                     ,count(distinct cl_id) as search_uv
-                FROM
-                    (
-                        SELECT partition_date,device_os_type
-                             ,case WHEN active_type = '4'  THEN '老活跃设备'
-                                   WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-                             ,device_id
-                        FROM online.ml_device_day_active_status
-                        where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-                          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
-                    (
-                        SELECT partition_date,cl_id,page_name,action,params['referrer_link'] as referrer_link
-                        FROM online.bl_hdfs_maidian_updates
-                        where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-                          and action in ('do_search','on_click_navbar_search')
-
-                        union all
-
-                        SELECT partition_date,cl_id,null as page_name,'大家都���看' as action, null as referrer_link
-                        FROM online.bl_hdfs_maidian_updates
-                        where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-                          AND action = 'on_click_card'
-                          AND params['in_page_pos']='猜你喜欢'
-                          AND params['tab_name']='精选'
-                          AND params['card_type']='search_word'
-                            --AND page_name='home' android的page_name为空
-
-                        union all
-
-                        SELECT partition_date,cl_id,page_name,'热搜词' as action, null as referrer_link
-                        FROM online.bl_hdfs_maidian_updates
-                        where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-                          AND action = 'on_click_card'
-                          AND page_name='welfare_home'
-                          AND params['card_type'] ='search_word'
-                          AND params['in_page_pos']='大家都在搜'
-
-                        union all
-
-                        select  partition_date,cl_id,null as page_name,'详情页高亮词' as action,null as referrer_link
-                        from online.bl_hdfs_maidian_updates
-                        where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-                          and action='on_click_card'
-                          and params['card_type']='highlight_word'
-                    )t2
-                    on t1.partition_date=t2.partition_date and t1.device_id=t2.cl_id
-                group by t1.partition_date
-                       ,t1.device_os_type
-                       ,t1.active_type
-                       ,case when action='on_click_navbar_search' and page_name='home' then '首页搜索框'
-                             when action='on_click_navbar_search' and page_name='welfare_home' then '美购首页搜索框'
-                             when action='on_click_navbar_search' and page_name='category' then '品类聚合页搜索框'
-                             when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["home","category"]' then '来自品类聚合的美购列表页搜索框'
-                             when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["welfare_home"]' then '来自美购首页的美购列表页搜索框'
-                             when action in ('do_search','on_click_navbar_search')
-                                 and page_name in ('diary_detail','topic_detail','post_detail','user_post_detail'
-                                     ,'doctor_post_detail','question_detail','answer_detail','question_answer_detail')  then '内容详情页搜索框'
-                             when action ='详情页高亮词' then '详情页高亮词搜索'
-                             when action='大家都在看' then '首页feed大家都在看'
-                             when action='热搜词' then '美购首页热搜词' else null end
-                having search_entrance is not null
-            )t
-    )n
-    LATERAL VIEW explode(n.search_entrance) v AS search_entrance
-group by day_id,device_os_type,active_type,v.search_entrance;
\ No newline at end of file

sqls/search_related/search_input_type.sql

-
-
-SELECT
-		day_id AS `日期`
-		,query AS `关键词`
-		,search_pv AS `搜索量`
-		,search_uv AS `搜索uv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_pv*100/t2.page_more_pv,2) ,'%') else 0 end, 0) as `搜索综合结果页内容卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_10_pv*100/t2.page_more_pv,2) ,'%')  else 0 end,0) as `搜索综合结果页前10内容卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_5_diary_pv*100/t2.page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5日记卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_5_answer_pv*100/t2.page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5问答卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_more_pv,0)>0 then concat(round(t2.more_click_5_topic_pv*100/t2.page_more_pv,2),'%') else 0 end,0) as `搜索综合结果页前5帖子卡片点击PV/搜索综合结果页浏览pv`
-        ,NVL(case when NVL(t2.page_wel_pv,0)>0 then concat(round(t2.wel_click_pv*100/t2.page_wel_pv,2),'%') else 0 end,0) as `搜索美购结果页卡片点击PV/搜索美购结果页pv`
-        ,NVL(case when NVL(t2.page_wel_pv,0)>0 then concat(round(t2.wel_click_10_pv*100/t2.page_wel_pv,2),'%')  else 0 end,0) as `搜索美购结果页前10卡片点击PV/搜索美购结果页pv`
-        ,NVL(case when NVL(t2.page_wel_pv,0)>0 then concat(round(t2.wel_click_5_pv*100/t2.page_wel_pv,2),'%')  else 0 end,0) as `搜索美购结果页前5卡片点击PV/搜索美购结果页pv`
-        ,NVL(case when NVL(t2.page_diary_pv,0)>0 then concat(round(t2.diary_click_pv*100/t2.page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页卡片点击PV/搜索日记结果页pv`
-        ,NVL(case when NVL(t2.page_diary_pv,0)>0 then concat(round(t2.diary_click_10_pv*100/t2.page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页前10卡片点击PV/搜索日记结果页pv`
-        ,NVL(case when NVL(t2.page_diary_pv,0)>0 then concat(round(t2.diary_click_5_pv*100/t2.page_diary_pv,2),'%') else 0 end,0) as `搜索日记结果页前5卡片点击PV/搜索日记结果页pv`
-		,search_more_pv AS `综合tab下的搜索的点击pv`
-		,page_more_pv AS `搜索综合结果页浏览PV`
-		,more_click_pv AS `搜索综合结果页内容卡片点击PV`
-		,more_click_10_pv AS `搜索综合结果页前10内容卡片点击PV`
-		,more_click_5_diary_pv AS `搜索综合结果页前5日记卡片点击PV`
-		,more_click_5_answer_pv AS `搜索综合结果页前5问答卡片点击PV`
-		,more_click_5_topic_pv AS `搜索综合结果页前5帖子卡片点击PV`
-		,search_wel_pv AS `美购tab下的搜索的点击pv`
-		,page_wel_pv AS `搜索美购结果页浏览pv`
-		,wel_click_pv AS `搜索美购结果页卡片点击PV`
-		,wel_click_10_pv AS `搜索美购结果页前10卡片点击PV`
-		,wel_click_5_pv AS `搜索美购结果页前5卡片点击PV`
-		,search_diary_pv AS `日记tab下的搜索的点击pv`
-		,page_diary_pv AS `搜索日记结果页浏览pv`
-		,diary_click_pv AS `搜索日记结果页卡片点击PV`
-		,diary_click_10_pv AS `搜索日记结果页前10卡片点击PV`
-		,diary_click_5_pv AS `搜索日记结果页前5卡片点击PV`
-
-FROM pm.tl_pm_search_result_click_rate_d
-WHERE partition_day>='20200619' and partition_day<=regexp_replace(DATE_SUB(current_date,1) ,'-','')
-order by `日期` desc,`搜索量` desc,`关键词`

sqls/search_related_insert/search_click_path_insert.sql

-
-
-INSERT OVERWRITE TABLE pm.tl_pm_search_click_path_d PARTITION (PARTITION_DAY = #partition_day)
-
-
-SELECT day_id as day_id
-			,device_os_type as device_os_type
-			,active_type as active_type
-			,v.search_entrance as search_entrance
-			,sum(search_pv) as click_search_pv
-			,sum(search_uv) as click_search_uv
-FROM
-(
-	SELECT day_id,device_os_type,active_type,array(search_entrance,'合计') as search_entrance
-			,search_pv,search_uv
-	FROM
-	(
-		SELECT t1.partition_date as day_id
-				,t1.device_os_type
-				,t1.active_type
-				,case when action='on_click_navbar_search' and page_name='home' then '首页搜索框'
-					  when action='on_click_navbar_search' and page_name='welfare_home' then '美购首页搜索框'
-					  when action='on_click_navbar_search' and page_name='category' then '品类聚合页搜索框'
-					  when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["home","category"]' then '来自品类聚合的美购列表页搜索框'
-					  when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["welfare_home"]' then '来自美购首页的美购列表页搜索框'
-					  when action in ('do_search','on_click_navbar_search')
-					       and page_name in ('diary_detail','topic_detail','post_detail','user_post_detail'
-					       	,'doctor_post_detail','question_detail','answer_detail','question_answer_detail')  then '内容详情页搜索框'
-					  when action ='详情页高亮词' then '详情页高亮词搜索'
-					  when action='大家都在看' then '首页feed大家都在看'
-					  when action='热搜词' then '美购首页热搜词' else null end as search_entrance
-				,count(cl_id) as search_pv
-				,count(distinct cl_id) as search_uv
-		FROM
-		(
-			SELECT partition_date,device_os_type
-			,case WHEN active_type = '4'  THEN '老活跃设备'
-				  WHEN active_type  in ('1','2')  then '新增设备' END as active_type
-			,device_id
-			FROM online.ml_device_day_active_status
-			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-			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
-		(
-			SELECT partition_date,cl_id,page_name,action,params['referrer_link'] as referrer_link
-			FROM online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-			and action in ('do_search','on_click_navbar_search')
-
-			union all
-
-			SELECT partition_date,cl_id,null as page_name,'大家都在看' as action, null as referrer_link
-			FROM online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-			AND action = 'on_click_card'
-			AND params['in_page_pos']='猜你喜欢'
-			AND params['tab_name']='精选'
-			AND params['card_type']='search_word'
-			--AND page_name='home' android的page_name为空
-
-			union all
-
-			SELECT partition_date,cl_id,null as page_name,'热搜词' as action, null as referrer_link
-			FROM online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-			AND action = 'on_click_card'
-			AND page_name='welfare_home'
-			AND params['card_type'] ='search_word'
-			AND params['in_page_pos']='大家都在搜'
-
-			union all
-
-			select 	partition_date,cl_id,null as page_name,'详情页高亮词' as action,null as referrer_link
-			from online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
-			and action='on_click_card'
-			and params['card_type']='highlight_word'
-		)t2
-		on t1.partition_date=t2.partition_date and t1.device_id=t2.cl_id
-		group by t1.partition_date
-				,t1.device_os_type
-				,t1.active_type
-				,case when action='on_click_navbar_search' and page_name='home' then '首页搜索框'
-					  when action='on_click_navbar_search' and page_name='welfare_home' then '美购首页搜索框'
-					  when action='on_click_navbar_search' and page_name='category' then '品类聚合页搜索框'
-					  when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["home","category"]' then '来自品类聚合的美购列表页搜索框'
-					  when action='on_click_navbar_search' and page_name='welfare_list' and referrer_link ='["welfare_home"]' then '来自美购首页的美购列表页搜索框'
-					  when action in ('do_search','on_click_navbar_search')
-					       and page_name in ('diary_detail','topic_detail','post_detail','user_post_detail'
-					       	,'doctor_post_detail','question_detail','answer_detail','question_answer_detail')  then '内容详情页搜索框'
-					  when action ='详情页高亮词' then '详情页高亮词搜索'
-					  when action='大家都在看' then '首页feed大家都在看'
-					  when action='热搜词' then '美购首页热搜词' else null end
-		having search_entrance is not null
-	)t
-)n
-LATERAL VIEW explode(n.search_entrance) v AS search_entrance
-group by day_id,device_os_type,active_type,v.search_entrance

sqls/search_related_insert/search_input_type_insert.sql

-INSERT OVERWRITE TABLE pm.tl_pm_search_result_click_rate_d PARTITION (PARTITION_DAY = #partition_day)
-
---搜索关键词日报,取近7天数据，每天取关键词搜索量前500
-
-select t1.partition_date as day_id
-		,t1.query as query
-		,NVL(t1.search_pv,0) as search_pv
-		,NVL(t1.search_uv,0) as search_uv
-		,NVL(t2.search_more_pv,0) as search_more_pv
-		,NVL(t2.page_more_pv,0) as page_more_pv
-		,NVL(t2.more_click_pv,0) as more_click_pv
-		,NVL(t2.more_click_10_pv,0) as more_click_10_pv
-		,NVL(t2.more_click_5_diary_pv,0) as more_click_5_diary_pv
-		,NVL(t2.more_click_5_answer_pv,0) as more_click_5_answer_pv
-		,NVL(t2.more_click_5_topic_pv,0) as more_click_5_topic_pv
-		,NVL(t2.search_wel_pv,0) as search_wel_pv
-		,NVL(t2.page_wel_pv,0) as page_wel_pv
-		,NVL(t2.wel_click_pv,0) as wel_click_pv
-		,NVL(t2.wel_click_10_pv,0) as wel_click_10_pv
-		,NVL(t2.wel_click_5_pv,0) as wel_click_5_pv
-		,NVL(t2.search_diary_pv,0) as search_diary_pv
-		,NVL(t2.page_diary_pv,0) as page_diary_pv
-		,NVL(t2.diary_click_pv,0) as diary_click_pv
-		,NVL(t2.diary_click_10_pv,0) as diary_click_10_pv
-		,NVL(t2.diary_click_5_pv,0) as diary_click_5_pv
-
-		,NVL(t2.search_more_uv,0) as search_more_uv
-		,NVL(t2.page_more_uv,0) as page_more_uv
-		,NVL(t2.more_click_uv,0) as more_click_uv
-		,NVL(t2.more_click_10_uv,0) as more_click_10_uv
-		,NVL(t2.more_click_5_diary_uv,0) as more_click_5_diary_uv
-		,NVL(t2.more_click_5_answer_uv,0) as more_click_5_answer_uv
-		,NVL(t2.more_click_5_topic_uv,0) as more_click_5_topic_uv
-		,NVL(t2.search_wel_uv,0) as search_wel_uv
-		,NVL(t2.page_wel_uv,0) as page_wel_uv
-		,NVL(t2.wel_click_uv,0) as wel_click_uv
-		,NVL(t2.wel_click_10_uv,0) as wel_click_10_uv
-		,NVL(t2.wel_click_5_uv,0) as wel_click_5_uv
-		,NVL(t2.search_diary_uv,0) as search_diary_uv
-		,NVL(t2.page_diary_uv,0) as page_diary_uv
-		,NVL(t2.diary_click_uv,0) as diary_click_uv
-		,NVL(t2.diary_click_10_uv,0) as diary_click_10_uv
-		,NVL(t2.diary_click_5_uv,0) as diary_click_5_uv
-from
-(--总搜索量
-	select partition_date
-			,query
-			,search_pv
-			,search_uv
-	from
-	(
-		select t1.partition_date
-				,query
-				,count(t1.cl_id) as search_pv
-				,count(distinct t1.cl_id) as search_uv
-				,row_number() over(partition by partition_date order by count(t1.cl_id) desc) as rank
-		from
-		(
-			select partition_date
-					,params['query'] as query
-					,cl_id
-			from online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-			and action in ('do_search','search_result_click_search')
-
-			union all
-
-			SELECT partition_date
-					,params['card_name'] as query
-					,cl_id
-			FROM online.bl_hdfs_maidian_updates
-			WHERE partition_date = regexp_replace(date_sub(current_date,1),'-','')
-			AND action = 'on_click_card'
-			AND params['in_page_pos']='猜你喜欢'
-			AND params['tab_name']='精选'
-			AND params['card_type']='search_word'
-			--AND page_name='home' android的page_name为空
-
-			union all
-
-			SELECT partition_date
-					,params['card_name'] as query
-					,cl_id
-			FROM online.bl_hdfs_maidian_updates
-			WHERE partition_date = regexp_replace(date_sub(current_date,1),'-','')
-			AND action = 'on_click_card'
-			AND page_name='welfare_home'
-			AND params['card_type'] ='search_word'
-			AND params['in_page_pos']='大家都在搜'
-
-			union all
-			select partition_date
-					,params['card_name'] as query
-					,cl_id
-			from online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-			and int(split(app_version,'\\.')[1]) >= 27
-			and action='on_click_card'
-			and params['card_type']='highlight_word'
-		)t1
-		join
-		(
-			SELECT device_id
-		    from online.ml_device_history_detail
-		    WHERE partition_date = regexp_replace(date_sub(current_date,1),'-','')
-		    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\_%'
-		)t2
-		on t1.cl_id=t2.device_id
-
-		group by t1.partition_date,query
-	)t
-	where rank<=300
-)t1
-
-
-left join
---综合、美购、日记页面浏览pv
-(
-	select t1.partition_date,t1.query
-			,sum(case when tab_name='综合' then t1.pv end) as search_more_pv
-			,count(distinct case when tab_name='综合' then t1.cl_id end) as search_more_uv
-			,sum(case when tab_name='美购' then t1.pv end) as search_wel_pv
-			,count(distinct case when tab_name='美购' then t1.cl_id end) as search_wel_uv
-			,sum(case when tab_name='日记' then t1.pv end) as search_diary_pv
-			,count(distinct case when tab_name='日记' then t1.cl_id end) as search_diary_uv
-
-			,sum(case when t2.page_name='综合' then t2.pv end) as page_more_pv
-			,count(distinct case when t2.page_name='综合' then t2.cl_id end) as page_more_uv
-			,sum(case when t2.page_name='美购' then t2.pv end) as page_wel_pv
-			,count(distinct case when t2.page_name='美购' then t2.cl_id end) as page_wel_uv
-			,sum(case when t2.page_name='日记' then t2.pv end) as page_diary_pv
-			,count(distinct case when t2.page_name='日记' then t2.cl_id end) as page_diary_uv
-
-			,sum(case when t3.page_name='综合' then t3.pv end) as more_click_pv
-			,count(distinct case when t3.page_name='综合' then t3.cl_id end) as more_click_uv
-			,sum(case when t3.page_name='美购' then t3.pv end) as wel_click_pv
-			,count(distinct case when t3.page_name='美购' then t3.cl_id end) as wel_click_uv
-			,sum(case when t3.page_name='日记' then t3.pv end) as diary_click_pv
-			,count(distinct case when t3.page_name='日记' then t3.cl_id end) as diary_click_uv
-
-			,sum(case when t4.page_name='综合' then t4.pv end) as more_click_10_pv
-			,count(distinct case when t4.page_name='综合' then t4.cl_id end) as more_click_10_uv
-			,sum(case when t4.page_name='美购' then t4.pv end) as wel_click_10_pv
-			,count(distinct case when t4.page_name='美购' then t4.cl_id end) as wel_click_10_uv
-			,sum(case when t4.page_name='日记' then t4.pv end) as diary_click_10_pv
-			,count(distinct case when t4.page_name='日记' then t4.cl_id end) as diary_click_10_uv
-
-			,sum(case when t5.page_name='美购' then t5.pv end) as wel_click_5_pv
-			,count(distinct case when t5.page_name='美购' then t5.cl_id end) as wel_click_5_uv
-			,sum(case when t5.page_name='日记' then t5.pv end) as diary_click_5_pv
-			,count(distinct case when t5.page_name='日记' then t5.cl_id end) as diary_click_5_uv
-			,sum(case when t6.page_name='综合' then t6.pv end) as more_click_5_diary_pv
-			,count(distinct case when t6.page_name='综合' then t6.cl_id end) as more_click_5_diary_uv
-			,sum(case when t7.page_name='综合' then t7.pv end) as more_click_5_answer_pv
-			,count(distinct case when t7.page_name='综合' then t7.cl_id end) as more_click_5_answer_uv
-			,sum(case when t8.page_name='综合' then t8.pv end) as more_click_5_topic_pv
-			,count(distinct case when t8.page_name='综合' then t8.cl_id end) as more_click_5_topic_uv
-
-
-	from
-	(--各tab搜索
-		select partition_date
-				,params['query'] as query
-				,cl_id
-				,params['tab'] as tab_name
-				,count(1) as pv
-		from online.bl_hdfs_maidian_updates
-		where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-		and params['tab'] in ('综合','美购','日记')
-		and action in ('search_result_click_tab','search_result_click_search')
-		group by partition_date,params['query'],cl_id,params['tab']
-	)t1
-	left join
-	(--结果页浏览
-		select partition_date
-				,get_json_object(params['extra_param'],'$.query') as query
-				,cl_id
-				,case when page_name='search_result_more' then '综合'
-					  when page_name='search_result_welfare' then '美购'
-					  when page_name='search_result_diary' then '日记' end as page_name
-				,count(1) as pv
-		from online.bl_hdfs_maidian_updates
-		where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-		and page_name in ('search_result_more','search_result_welfare','search_result_diary')
-		and action ='page_view'
-		group by partition_date
-				,get_json_object(params['extra_param'],'$.query')
-				,cl_id
-				,case when page_name='search_result_more' then '综合'
-					  when page_name='search_result_welfare' then '美购'
-					  when page_name='search_result_diary' then '日记' end
-	)t2
-	on t1.partition_date=t2.partition_date
-		and t1.query=t2.query
-		and t1.cl_id=t2.cl_id
-		and t1.tab_name=t2.page_name
-	left join
-	(--内容卡片点击
-		select partition_date
-				,params['query'] as query
-				,cl_id
-				,case when page_name='search_result_more' then '综合'
-					  when page_name='search_result_welfare' then '美购'
-					  when page_name='search_result_diary' then '日记' 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 action in ('search_result_click_infomation_item','on_click_topic_card','on_click_diary_card','search_result_welfare_click_item')
-		and page_name in ('search_result_more','search_result_welfare','search_result_diary')
-		group by partition_date
-				,params['query']
-				,cl_id
-				,case when page_name='search_result_more' then '综合'
-					  when page_name='search_result_welfare' then '美购'
-					  when page_name='search_result_diary' then '日记' end
-	)t3
-	on t2.partition_date=t3.partition_date
-		and t2.query=t3.query
-		and t2.cl_id=t3.cl_id
-		and t2.page_name=t3.page_name
-	left join
-	(--前10内容卡片点击
-		select partition_date
-				,params['query'] as query
-				,cl_id
-				,case when page_name='search_result_more' then '综合'
-					  when page_name='search_result_welfare' then '美购'
-					  when page_name='search_result_diary' then '日记' 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 action in ('search_result_click_infomation_item','on_click_topic_card','on_click_diary_card','search_result_welfare_click_item')
-		and params['position'] in (0,1,2,3,4,5,6,7,8,9)
-		and page_name in ('search_result_more','search_result_welfare','search_result_diary')
-		group by partition_date
-				,params['query']
-				,cl_id
-				,case when page_name='search_result_more' then '综合'
-					  when page_name='search_result_welfare' then '美购'
-					  when page_name='search_result_diary' then '日记' end
-	)t4
-	on t2.partition_date=t4.partition_date
-		and t2.query=t4.query
-		and t2.cl_id=t4.cl_id
-		and t2.page_name=t4.page_name
-	left join
-	(--日记、美购前5内容卡片点击
-		select partition_date
-				,params['query'] as query
-				,cl_id
-				,case when page_name='search_result_welfare' then '美购'
-					  when page_name='search_result_diary' then '日记' 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 ( action = 'on_click_diary_card' and page_name='search_result_diary'
-			or action ='search_result_welfare_click_item' and page_name='search_result_welfare')
-		and params['position'] in (0,1,2,3,4)
-		group by partition_date
-				,params['query']
-				,cl_id
-				,case when page_name='search_result_welfare' then '美购'
-					  when page_name='search_result_diary' then '日记' end
-	)t5
-	on t2.partition_date=t5.partition_date
-		and t2.query=t5.query
-		and t2.cl_id=t5.cl_id
-		and t2.page_name=t5.page_name
-	left join
-	(--综搜页日记卡片前5
-	    select c.partition_date,c.query,c.cl_id,'综合' as page_name,count(1) as pv
-	    from
-		(
-			SELECT partition_date,query,position
-			FROM
-			(
-				select partition_date
-						,params['query'] as query
-						,cast(absolute_position as int) as position
-		    			,row_number() over(partition by params['query'], partition_date order by cast (absolute_position as int) asc) as rank
-				from online.ml_community_precise_exposure_detail
-				where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-				and page_name='search_result_more'
-				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 card_content_type='diary'
-           		group by partition_date,params['query'],cast(absolute_position as int)
-			)a
-			where rank<=5
-		)b
-		join
-		(
-			select partition_date
-					,params['query'] as query
-					,cl_id
-					,params['position'] as position
-			from online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-			and page_name='search_result_more'
-			and (action ='search_result_click_infomation_item'and params['business_type']in('diary','0')
-				  or action ='on_click_diary_card')
-		)c
-		on b.partition_date=c.partition_date
-		    and b.query=c.query
-		    and b.position=c.position
-		group by c.partition_date,c.query,c.cl_id
-	)t6
-	on t2.partition_date=t6.partition_date
-		and t2.query=t6.query
-		and t2.cl_id=t6.cl_id
-		and t2.page_name=t6.page_name
-	left join
-	(--综搜页回答卡片前5
-	    select c.partition_date,c.query,c.cl_id,'综合' as page_name,count(1) as pv
-	    from
-		(
-			SELECT partition_date,query,position
-			FROM
-			(
-				select partition_date
-						,params['query'] as query
-						,cast(absolute_position as int) as position
-		    			,row_number() over(partition by params['query'], partition_date order by cast (absolute_position as int) asc) as rank
-				from online.ml_community_precise_exposure_detail
-				where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-				and page_name='search_result_more'
-				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 card_content_type='answer'
-           		group by partition_date,params['query'],cast(absolute_position as int)
-			)a
-			where rank<=5
-		)b
-		join
-		(
-			select partition_date
-					,params['query'] as query
-					,cl_id
-					,params['position'] as position
-			from online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-			and page_name='search_result_more'
-			and action ='search_result_click_infomation_item'
-			and params['business_type']in ('answer','5')
-		)c
-		on b.partition_date=c.partition_date
-		    and b.query=c.query
-		    and b.position=c.position
-		group by c.partition_date,c.query,c.cl_id
-	)t7
-	on t2.partition_date=t7.partition_date
-		and t2.query=t7.query
-		and t2.cl_id=t7.cl_id
-		and t2.page_name=t7.page_name
-	left join
-	(--综搜页帖子卡片前5
-	    select c.partition_date,c.query,c.cl_id,'综合' as page_name,count(1) as pv
-	    from
-		(
-			SELECT partition_date,query,position
-			FROM
-			(
-				select partition_date
-						,params['query'] as query
-						,cast(absolute_position as int) as position
-		    			,row_number() over(partition by params['query'], partition_date order by cast (absolute_position as int) asc) as rank
-				from online.ml_community_precise_exposure_detail
-				where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-				and page_name='search_result_more'
-				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 card_content_type='user_post'
-           		group by partition_date,params['query'],cast(absolute_position as int)
-			)a
-			where rank<=5
-		)b
-		join
-		(
-			select partition_date
-					,params['query'] as query
-					,cl_id
-					,params['position'] as position
-			from online.bl_hdfs_maidian_updates
-			where partition_date = regexp_replace(date_sub(current_date,1),'-','')
-			and page_name='search_result_more'
-			and (action ='search_result_click_infomation_item' and params['business_type'] in ('post','user_post','doctor_post','11')
-      			or action='on_click_topic_card')
-		)c
-		on b.partition_date=c.partition_date
-		    and b.query=c.query
-		    and b.position=c.position
-		group by c.partition_date,c.query,c.cl_id
-	)t8
-	on t2.partition_date=t8.partition_date
-		and t2.query=t8.query
-		and t2.cl_id=t8.cl_id
-		and t2.page_name=t8.page_name
-	join
-	(
-		select device_id
-	    from online.ml_device_history_detail
-	    WHERE partition_date = regexp_replace(date_sub(current_date,1),'-','')
-	    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\_%'
-	)dev
-	on t1.cl_id=dev.device_id
-	left join
-	( -- 去掉疑似机构刷量的PV和UV
-	    SELECT distinct device_id
-	    FROM ml.ml_d_ct_dv_devicespam_d
-	    WHERE partition_day=regexp_replace(date_sub(current_date,1),'-','')
-	)spam_pv
-	on t2.cl_id=spam_pv.device_id
-	WHERE spam_pv.device_id IS NULL
-	group by t1.partition_date,t1.query
-)t2
-
-on t1.partition_date=t2.partition_date
- and t1.query=t2.query
-order by day_id desc,search_pv desc,query
-
-
-
-
-
-
-

tables/create_meigou_source-pv.sql

---***************************************************************
---*脚本名称: create_pm_c_op_co_content_dimen_d.sql
---*功能: 内容日报
---*业务名称: pm
---*输入数据:
---*作者: weiyimin@igengmei.com
---*更新时间: 2020-5-25 11:00
---***************************************************************
-
---设置全局变量&UDF
-SET mapreduce.job.queuename=data;
-
---使用bl数据库
-USE pm;
-
---创建BL层内部表
-CREATE TABLE IF NOT EXISTS pm.tl_pm_meigou_source_pv_d
-(
- day_id string comment '{"chs_name":"当天日期","description":"","etl":"","value":"","remark":""}',
- device_os_type string comment '{"chs_name":"设备类型","description":"","etl":"","value":"","remark":""}',
- active_type string comment '{"chs_name":"活跃类型","description":"","etl":"","value":"","remark":""}',
- is_ai_channel string comment '{"chs_name":"是否AI渠道","description":"","etl":"","value":"","remark":""}',
- welfare_pv int comment '{"chs_name":"美购详情页pv","description":"","etl":"","value":"","remark":""}',
- to_welfare_pv int comment '{"chs_name":"从上级页面转化到美购详情页的pv总量","description":"","etl":"","value":"","remark":""}',
- total_conversion_rate double comment '{"chs_name":"从上级页面转化到美购详情页的pv比美购详情页总pv","description":"","etl":"","value":"","remark":""}',
- search_result_welfare_pv int comment '{"chs_name":"搜索结果美购页pv","description":"","etl":"","value":"","remark":""}',
- search_result_welfare_to_welfare_pv int comment '{"chs_name":"从搜索结果美购页转化到美购详情页pv","description":"","etl":"","value":"","remark":""}',
- result_wel_add_pv int comment '{"chs_name":"搜索结果美购页-转化点击加车pv","description":"","etl":"","value":"","remark":""}',
- result_wel_buy_pv int comment '{"chs_name":"内容用户APP7留","description":"","etl":"","value":"","remark":""}',
- result_wel_msg_pv int comment '{"chs_name":"内容用户APP30留","description":"","etl":"","value":"","remark":""}',
- avg_app_duration double comment '{"chs_name":"内容用户单设备App时长(m)","description":"","etl":"","value":"","remark":""}',
- avg_content_stay double comment '{"chs_name":"内容用户单设备内容时长(m)","description":"","etl":"","value":"","remark":""}',
- avg_open_times double comment '{"chs_name":"内容用户单设备打开次数","description":"","etl":"","value":"","remark":""}',
- search_related_stay double comment '{"chs_name":"内容用户搜索相关页面单设备页面时长(m)","description":"","etl":"","value":"","remark":""}',
- welfare_stay double comment '{"chs_name":"内容用户美购详情页单设备页面时长(m)","description":"","etl":"","value":"","remark":""}',
- content_question_stay double comment '{"chs_name":"内容用户问题详情页单设备页面时长(m)","description":"","etl":"","value":"","remark":""}',
- ai_related_stay double comment '{"chs_name":"内容用户AI相关页面单设备页面时长(m)","description":"","etl":"","value":"","remark":""}',
- content_diary_stay double comment '{"chs_name":"内容用户日记详情页单设备页面时长(m)","description":"","etl":"","value":"","remark":""}',
- home_stay double comment '{"chs_name":"内容用户首页单设备页面时长(m)","description":"","etl":"","value":"","remark":""}',
- conv_related_stay double comment '{"chs_name":"内容用户咨询相关页面单设备页面时长(m)","description":"","etl":"","value":"","remark":""}',
- recommend_rate double comment '{"chs_name":"首页feeds推荐进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_recommend_pv double comment '{"chs_name":"首页feeds推荐进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- feeds_rate double comment '{"chs_name":"首页feeds非推荐进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_feeds_pv double comment '{"chs_name":"首页feeds非推荐进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- search_rate double comment '{"chs_name":"搜索进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_search_pv double comment '{"chs_name":"搜索进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- zone_rate double comment '{"chs_name":"内容聚合页进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_zone_pv double comment '{"chs_name":"内容聚合页进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- content_rate double comment '{"chs_name":"内容详情页推荐板块进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_from_content_pv double comment '{"chs_name":"内容详情页推荐板块进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- blank_rate double comment '{"chs_name":"无来源页面(大多数为push)进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_blank_pv double comment '{"chs_name":"无来源页面(大多数为push)进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- comment_rate double comment '{"chs_name":"评论列表页进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_comment_pv double comment '{"chs_name":"评论列表页进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- org_rate double comment '{"chs_name":"医生医院主页进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_org_pv double comment '{"chs_name":"医生医院主页进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- category_rate double comment '{"chs_name":"品类聚合页进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_category_pv double comment '{"chs_name":"品类聚合页进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- my_diary_rate double comment '{"chs_name":"我的日记页进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_my_diary_pv double comment '{"chs_name":"我的日记页进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- ai_rate double comment  '{"chs_name":"AI报告页进入内容UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_ai_pv double comment '{"chs_name":"AI报告页进入内容PV/UV","description":"","etl":"","value":"","remark":""}',
- create_topic_num int comment '{"chs_name":"真实发帖数","description":"","etl":"","value":"","remark":""}',
- create_reply_num int comment '{"chs_name":"真实评论数","description":"","etl":"","value":"","remark":""}',
- diary_uv int comment '{"chs_name":"日记UV","description":"","etl":"","value":"","remark":""}',
- diary_pv int comment '{"chs_name":"日记PV","description":"","etl":"","value":"","remark":""}',
- diary_rate double comment '{"chs_name":"日记UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_diary_pv double comment '{"chs_name":"日记PV/日记UV","description":"","etl":"","value":"","remark":""}',
- diary_stay double comment '{"chs_name":"日记单设备时长(m)","description":"","etl":"","value":"","remark":""}',
- post_uv int comment '{"chs_name":"帖子UV","description":"","etl":"","value":"","remark":""}',
- post_pv int comment '{"chs_name":"帖子PV","description":"","etl":"","value":"","remark":""}',
- post_rate double comment '{"chs_name":"帖子UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_post_pv double comment '{"chs_name":"帖子PV/帖子UV","description":"","etl":"","value":"","remark":""}',
- post_stay double comment '{"chs_name":"帖子单设备时长(m)","description":"","etl":"","value":"","remark":""}',
- question_uv int comment '{"chs_name":"问题UV","description":"","etl":"","value":"","remark":""}',
- question_pv int comment '{"chs_name":"问题PV","description":"","etl":"","value":"","remark":""}',
- question_rate double comment '{"chs_name":"问题UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_question_pv double comment '{"chs_name":"问题PV/问题UV","description":"","etl":"","value":"","remark":""}',
- question_stay double comment '{"chs_name":"问题单设备时长(m)","description":"","etl":"","value":"","remark":""}',
- question_answer_uv int comment '{"chs_name":"问答UV","description":"","etl":"","value":"","remark":""}',
- question_answer_pv int comment '{"chs_name":"问答PV","description":"","etl":"","value":"","remark":""}',
- question_answer_rate double comment '{"chs_name":"问答UV/问答UV","description":"","etl":"","value":"","remark":""}',
- per_question_answer_pv double comment '{"chs_name":"问答PV/问答UV","description":"","etl":"","value":"","remark":""}',
- question_answer_stay double comment '{"chs_name":"问答单设备时长(m)","description":"","etl":"","value":"","remark":""}',
- answer_uv int comment '{"chs_name":"回答UV","description":"","etl":"","value":"","remark":""}',
- answer_pv int comment '{"chs_name":"回答PV","description":"","etl":"","value":"","remark":""}',
- answer_rate double comment '{"chs_name":"回答UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_answer_pv double comment '{"chs_name":"回答PV/回答UV","description":"","etl":"","value":"","remark":""}',
- answer_stay double comment '{"chs_name":"回答单设备时长(m)","description":"","etl":"","value":"","remark":""}',
- video_uv int comment '{"chs_name":"视频UV","description":"","etl":"","value":"","remark":""}',
- video_pv int comment '{"chs_name":"视频PV","description":"","etl":"","value":"","remark":""}',
- video_rate double comment '{"chs_name":"视频UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_video_pv double comment '{"chs_name":"视频PV/视频UV","description":"","etl":"","value":"","remark":""}',
- video_stay double comment '{"chs_name":"视频单设备时长(m)","description":"","etl":"","value":"","remark":""}',
- wiki_uv int comment '{"chs_name":"百科UV","description":"","etl":"","value":"","remark":""}',
- wiki_pv int comment '{"chs_name":"百科PV","description":"","etl":"","value":"","remark":""}',
- wiki_rate double comment '{"chs_name":"百科UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_wiki_pv double comment '{"chs_name":"百科PV/百科UV","description":"","etl":"","value":"","remark":""}',
- wiki_stay double comment '{"chs_name":"百科单设备时长(m)","description":"","etl":"","value":"","remark":""}',
- article_uv int comment '{"chs_name":"专栏UV","description":"","etl":"","value":"","remark":""}',
- article_pv int comment '{"chs_name":"专栏PV","description":"","etl":"","value":"","remark":""}',
- article_rate double comment '{"chs_name":"专栏UV/内容UV","description":"","etl":"","value":"","remark":""}',
- per_article_pv double comment '{"chs_name":"专栏PV/专栏UV","description":"","etl":"","value":"","remark":""}',
- article_stay double comment '{"chs_name":"专栏单设备时长(m)","description":"","etl":"","value":"","remark":""}'
-)comment '内容日报'
-PARTITIONED BY (PARTITION_DAY STRING comment '分区日期')
-ROW FORMAT DELIMITED
-FIELDS TERMINATED BY '\t'
-COLLECTION ITEMS TERMINATED BY '\002'
-MAP KEYS TERMINATED BY '\003'
-LINES TERMINATED BY '\n'
-STORED AS TEXTFILE;
\ No newline at end of file

tables/daily_recommend_strategy/create_recommend_daily_data.sql

---***************************************************************
---*脚本名称: create_pm_c_op_co_content_dimen_d.sql
---*功能: 内容日报
---*业务名称: pm
---*输入数据:
---*作者: weiyimin@igengmei.com
---*更新时间: 2020-5-25 11:00
---***************************************************************
-
---设置全局变量&UDF
-SET mapreduce.job.queuename=data;
-
---使用bl数据库
-USE pm;
-
---创建BL层内部表
-CREATE TABLE IF NOT EXISTS pm.tl_pm_recommend_strategy_d
-(
- day_id string comment '{"chs_name":"当天日期","description":"","etl":"","value":"","remark":""}',
- device_os_type string comment '{"chs_name":"设备类型","description":"","etl":"","value":"","remark":""}',
- active_type string comment '{"chs_name":"活跃类型","description":"","etl":"","value":"","remark":""}',
- card_content_type string comment '{"chs_name":"卡片类型","description":"","etl":"","value":"","remark":""}',
- recommend_type string comment '{"chs_name":"推荐类型","description":"","etl":"","value":"","remark":""}',
- home_ctr string comment '{"chs_name":"首页卡片点击PV/首页卡片精准曝光PV","description":"","etl":"","value":"","remark":""}',
- second_rate string comment '{"chs_name":"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","description":"","etl":"","value":"","remark":""}',
- first_rate string comment '{"chs_name":"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","description":"","etl":"","value":"","remark":""}',
- card_click BIGINT comment '{"chs_name":"首页卡片点击PV","description":"","etl":"","value":"","remark":""}',
- card_exposure BIGINT comment '{"chs_name":"首页卡片精准曝光PV","description":"","etl":"","value":"","remark":""}',
- total_second_click BIGINT comment '{"chs_name":"来自首页卡片的总商业二跳pv（包含页面上搜索及卡片点击）","description":"","etl":"","value":"","remark":""}',
- avg_page_stay double comment '{"chs_name":"来自首页卡片的单PV平均浏览时长","description":"","etl":"","value":"","remark":""}',
- navbar_search BIGINT comment '{"chs_name":"来自首页卡片的搜索框+搜索按钮点击PV","description":"","etl":"","value":"","remark":""}',
- highlight_word BIGINT comment '{"chs_name":"来自首页卡片的文内搜索点击PV","description":"","etl":"","value":"","remark":""}',
- self_welfare_card BIGINT comment '{"chs_name":"来自首页卡片的商品卡片点击PV","description":"","etl":"","value":"","remark":""}',
- recommend_welfare_card BIGINT comment '{"chs_name":"来自首页卡片的推荐商品+查看全部商品点击pv","description":"","etl":"","value":"","remark":""}',
- recommend_content_card BIGINT comment '{"chs_name":"来自首页卡片的推荐内容点击pv","description":"","etl":"","value":"","remark":""}',
- recommend_special_card BIGINT comment '{"chs_name":"来自首页卡片的推荐专题点击pv","description":"","etl":"","value":"","remark":""}',
- transfer_card BIGINT comment '{"chs_name":"来自首页卡片的转诊点击pv","description":"","etl":"","value":"","remark":""}',
- video_consultation BIGINT comment '{"chs_name":"来自首页卡片的视频面诊点击pv","description":"","etl":"","value":"","remark":""}'
-)comment '首页推荐策略日报'
-PARTITIONED BY (PARTITION_DAY STRING comment '分区日期')
-ROW FORMAT DELIMITED
-FIELDS TERMINATED BY '\t'
-COLLECTION ITEMS TERMINATED BY '\002'
-MAP KEYS TERMINATED BY '\003'
-LINES TERMINATED BY '\n'
-STORED AS TEXTFILE;
\ No newline at end of file