push codes

pm/daily_push/job/step3.job

 #step3.job
 type=command
 dependencies=step2
-command=curl -X GET http://localhost:8553/api/report/email/daily_push/liweirui@igengmei.com,duanyingrong@igengmei.com,zhaowei@igengmei.com,songke@igengmei.com/zhaofei@igengmei.com,weiyimin@igengmei.com,yindanlei@igengmei.com,wangyan@igengmei.com
\ No newline at end of file
+command=curl -X GET http://localhost:8553/api/report/email/daily_push/liweirui@igengmei.com,duanyingrong@igengmei.com,zhaowei@igengmei.com,songke@igengmei.com/zhaoyang@igengmei.com,weiyimin@igengmei.com
\ No newline at end of file

pm/daily_userpost/en-cn.properties

+daily_userpost=精华帖日报
\ No newline at end of file

pm/daily_userpost/job/step1_1.job

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

pm/daily_userpost/job/step1_10.job

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

pm/daily_userpost/job/step1_11.job

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

pm/daily_userpost/job/step1_12.job

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

pm/daily_userpost/job/step1_13.job

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

pm/daily_userpost/job/step1_14.job

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

pm/daily_userpost/job/step1_2.job

+#step1_2.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive tl tl_mp_api_tractate_tag_v3
\ No newline at end of file

pm/daily_userpost/job/step1_3.job

+#step1_3.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive tl tl_mp_api_tractate_tag_v3
\ No newline at end of file

pm/daily_userpost/job/step1_4.job

+#step1_3.job
+type=command
+command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online tl_hdfs_api_tag_3_0_view
\ No newline at end of file

pm/daily_userpost/job/step1_5.job

+#step1_3.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

pm/daily_userpost/job/step1_6.job

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

pm/daily_userpost/job/step1_7.job

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

pm/daily_userpost/job/step1_8.job

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

pm/daily_userpost/job/step1_9.job

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

pm/daily_userpost/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,step1_14
+command=curl -X GET http://localhost:8553/api/report/email/meigou_detail_page/liudi@igengmei.com,zhaoyang@igengmei.com,duanyingrong@igengmei.com,wanglidan@igengmei.com/weiyimin@igengmei.com
\ No newline at end of file

pm/daily_userpost/report/daily_userpost.sql

+
+
+--帖子关联标签 3315
+
+SELECT t1.id as `帖子id`
+		,content as `帖子标题`
+		,t1.create_date as `上线日期`
+		,t1.tag_list as `所有关联标签`
+		,nvl(concat(round((nvl(t2.reply_num,0)+nvl(t2.vote_num,0)+nvl(t2.favor_num,0)+nvl(t2.share_num,0))/t2.page_pv*100,2),'%'),0) as `今日互动率`
+		,nvl(concat(round(t2.click_pv/t2.exp_pv*100,2),'%'),0) as `今日ctr`
+		,nvl(t2.click_pv,0) as `今日点击pv`
+		,nvl(t2.exp_pv,0) as `今日曝光pv`
+		,nvl(t2.page_pv,0) as `今日浏览pv`
+		,nvl(t2.reply_num,0) as `今日真实评论数`
+		,nvl(t2.vote_num,0) as `今日真实点赞数`
+		,nvl(t2.favor_num,0) as `今日收藏数`
+		,nvl(t2.share_num,0) as `今日转发数`
+		,nvl(t2.avg_page_stay,0) as `今日平均阅读时长(s)`
+
+		,nvl(concat(round((nvl(t3.reply_num,0)+nvl(t3.vote_num,0)+nvl(t3.favor_num,0)+nvl(t3.share_num,0))/t3.page_pv*100,2),'%'),0) as `3日互动率`
+		,nvl(concat(round(t3.click_pv/t3.exp_pv*100,2),'%'),0) as `3日ctr`
+		,nvl(t3.click_pv,0) as `3日点击pv`
+		,nvl(t3.exp_pv,0) as `3日曝光pv`
+		,nvl(t3.page_pv,0) as `3日浏览pv`
+		,nvl(t3.reply_num,0) as `3日真实评论数`
+		,nvl(t3.vote_num,0) as `3日真实点赞数`
+		,nvl(t3.favor_num,0) as `3日收藏数`
+		,nvl(t3.share_num,0) as `3日转发数`
+		,nvl(t3.avg_page_stay,0) as `3日平均阅读时长(s)`
+
+		,nvl(concat(round((nvl(t5.reply_num,0)+nvl(t5.vote_num,0)+nvl(t5.favor_num,0)+nvl(t5.share_num,0))/t5.page_pv*100,2),'%'),0) as `10日互动率`
+		,nvl(concat(round(t5.click_pv/t5.exp_pv*100,2),'%'),0) as `10日ctr`
+		,nvl(t5.click_pv,0) as `10日点击pv`
+		,nvl(t5.exp_pv,0) as `10日曝光pv`
+		,nvl(t5.page_pv,0) as `10日浏览pv`
+		,nvl(t5.reply_num,0) as `10日真实评论数`
+		,nvl(t5.vote_num,0) as `10日真实点赞数`
+		,nvl(t5.favor_num,0) as `10日收藏数`
+		,nvl(t5.share_num,0) as `10日转发数`
+		,nvl(t5.avg_page_stay,0) as `10日平均阅读时长(s)`
+
+		,nvl(concat(round((nvl(t4.reply_num,0)+nvl(t4.vote_num,0)+nvl(t4.favor_num,0)+nvl(t4.share_num,0))/t4.page_pv*100,2),'%'),0) as `历史互动率`
+		,nvl(concat(round(t4.click_pv/t4.exp_pv*100,2),'%'),0) as `历史ctr`
+		,nvl(t4.click_pv,0) as `历史点击pv`
+		,nvl(t4.exp_pv,0) as `历史曝光pv`
+		,nvl(t4.page_pv,0) as `历史浏览pv`
+		,nvl(t4.reply_num,0) as `历史真实评论数`
+		,nvl(t4.vote_num,0) as `历史真实点赞数`
+		,nvl(t4.favor_num,0) as `历史收藏数`
+		,nvl(t4.share_num,0) as `历史转发数`
+		,nvl(t4.avg_page_stay,0) as `历史平均阅读时长(s)`
+
+FROM
+(
+	select a.id,content,a.create_date,collect_set(d.name) as tag_list
+	from
+	(
+		select id,content,user_id,substr(create_time,1,10) as create_date
+		from online.tl_hdfs_api_tractate_view
+		where partition_date= regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		and content_level>=3
+		and is_online='true'
+	)a
+	join
+	(
+		select distinct tractate_id
+		from tl.tl_mp_api_tractate_tag_v3
+		where partition_day= regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		and tag_v3_id='3315'
+	)b
+	on a.id=b.tractate_id
+	join
+	(
+		select tractate_id,tag_v3_id
+		from tl.tl_mp_api_tractate_tag_v3
+		where partition_day= regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		group by tractate_id,tag_v3_id
+	)c
+	on a.id=c.tractate_id
+	left join
+	(
+		select id,name
+		from online.tl_hdfs_api_tag_3_0_view
+		where partition_date= regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		group by id,name
+	)d
+	on d.id=c.tag_v3_id
+	group by a.id,content,a.create_date
+)t1
+left join
+(
+	SELECT t1.card_id
+			,exp_pv
+			,click_pv
+			,page_pv
+			,reply_num
+			,vote_num
+			,favor_num
+			,share_num
+			,avg_page_stay
+	from
+	(
+		select a.card_id
+				,sum(exp_pv) as exp_pv
+				,sum(click_pv) as click_pv
+				,sum(page_pv) as page_pv
+				,round(sum(page_stay)/count(distinct e.cl_id,e.partition_date),2) as avg_page_stay
+		from
+		(--曝光
+			select partition_date,card_id,cl_id,count(distinct app_session_id) as exp_pv
+			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'
+			group by partition_date,cl_id,card_id
+		)a
+		left join
+		(--点击
+			SELECT partition_date,params['card_id'] as card_id,cl_id,count(distinct app_session_id,cl_id) as click_pv
+			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'
+			GROUP BY partition_date,params['card_id'],cl_id
+		)b
+		on a.partition_date=b.partition_date and a.card_id=b.card_id and a.cl_id=b.cl_id
+		left join
+		(--平均阅读时长
+			SELECT partition_date,business_id,cl_id,page_stay
+			from
+			(
+			    SELECT partition_date,cl_id,params['business_id'] as business_id,page_stay,time_str
+				FROM  online.bl_hdfs_maidian_updates
+				WHERE partition_date=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			    and action='page_view'
+			    and page_stay>=0 and page_stay<1000
+			    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+			    group by partition_date,cl_id,params['business_id'],page_stay,time_str
+			)a
+		)e
+		on a.partition_date=e.partition_date and a.card_id=e.business_id and a.cl_id=e.cl_id
+		left join
+		(--浏览pv
+
+			    SELECT partition_date,cl_id,params['business_id'] as business_id,count(distinct time_str) as page_pv
+				FROM  online.bl_hdfs_maidian_updates
+				WHERE partition_date=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			    and action='page_view'
+			    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+			    group by partition_date,cl_id,params['business_id']
+		)f
+		on a.partition_date=f.partition_date and a.card_id=f.business_id and a.cl_id=f.cl_id
+		left join
+		(
+			select distinct device_id
+			from ML.ML_D_CT_DV_DEVICECLEAN_DIMEN_D
+			where PARTITION_DAY = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			AND (IS_MORE_USER = 'true'
+				OR IS_STAFF = 'true'
+				OR IS_SPAM_CHANNEL = 'true'
+				OR IS_SUSPICIOUS = 'true'
+				OR IS_ASSOCIATED_ISSUEUSER = 'ture')
+		)c
+		on a.cl_id=c.device_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) ,'-','')
+			)a
+			join
+			(
+				select distinct user_id
+				from ml.ML_D_CT_UI_USERCLEAN_DIMEN_D
+				where PARTITION_DAY =regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				and (is_doctor = 'true'
+					or is_puppet = 'true'
+					or is_classify_user = 'true'
+					or is_reply_fake = 'true'
+					or is_staff = 'true'
+					or is_associated_issuedevice = 'true')
+			)b
+			on a.user_id=b.user_id
+		)d
+		on a.cl_id=d.device_id and a.partition_date=d.partition_date
+		where c.device_id is null and d.device_id is null
+		group by a.card_id
+	)t1
+	left join
+	(
+		SELECT a.tractate_id
+				,sum(case when type='reply' then num end) as reply_num
+				,sum(case when type='vote' then num end) as vote_num
+				,sum(case when type='favor' then num end) as favor_num
+				,sum(case when type='share' then num end) as share_num
+		from
+		(	--真实评论数
+			SELECT tractate_id,create_date,a.user_id,'reply' as type,sum(reply_num) as num
+			from
+			(--评论数
+				SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as reply_num
+				FROM  online.tl_hdfs_api_tractate_reply_view
+				WHERE partition_date =regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				and regexp_replace(substr(create_time,1,10),'-','') = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				GROUP by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+			)a
+			JOIN --限制用户是在app进行的回复
+			(
+				SELECT a.partition_date,user_id
+				FROM
+				(
+					SELECT partition_date,user_id,device_id,action
+					FROM online.bl_hdfs_operation_updates
+					WHERE partition_date=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				)a
+				JOIN
+				(
+					SELECT code
+					FROM  dim.dim_community_action_type
+					WHERE communityuserbehavior_type_name = '回帖'
+				)type
+				ON a.action = code
+				GROUP BY a.partition_date,user_id
+		    )b
+		       ON a.user_id = b.user_id
+		       AND a.create_date = b.partition_date
+		    group by tractate_id,create_date,a.user_id
+
+			union all
+			--真实点赞数
+			SELECT tractate_id,create_date,a.user_id,'vote' as type,sum(vote_num) as num
+		    FROM
+		    (
+		        SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as vote_num
+		        FROM online.tl_hdfs_api_tractate_vote_view
+		        WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+		        and regexp_replace(substr(create_time,1,10),'-','') = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		        group by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+
+		        UNION ALL
+
+		        SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as vote_num
+		        FROM online.tl_hdfs_api_tractate_reply_vote_view
+		        WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+		        and regexp_replace(substr(create_time,1,10),'-','') = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		        group by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+		    )a
+		    JOIN --限制用户是在app进行的回复
+			(
+				SELECT a.partition_date,user_id
+				FROM
+				(
+					SELECT partition_date,user_id,device_id,action
+					FROM online.bl_hdfs_operation_updates
+					WHERE partition_date=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				)a
+				JOIN
+				(
+					SELECT code
+					FROM  dim.dim_community_action_type
+					WHERE communityuserbehavior_type_name = '点赞'
+				)type
+				ON a.action = code
+				GROUP BY a.partition_date,user_id
+		    )b
+		       ON a.user_id = b.user_id
+		       AND a.create_date = b.partition_date
+		    GROUP BY tractate_id,create_date,a.user_id
+
+			union all
+			--真实收藏数
+	        SELECT tractate_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,user_id,'favor' as type,count(distinct create_time) as num
+			FROM  online.tl_hdfs_api_tractate_favor_view
+			WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+	        and regexp_replace(substr(create_time,1,10),'-','') = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			group by user_id,tractate_id,regexp_replace(substr(create_time,1,10),'-','')
+
+
+		    union all
+			--点击分享数
+		    SELECT params['business_id'] as tractate_id,partition_date as create_date,user_id,'share' as type,count(distinct time_str) as num
+			FROM  online.bl_hdfs_maidian_updates
+			WHERE partition_date = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		    and action='page_click_share'
+		    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+		    group by params['business_id'],partition_date,user_id
+		)a
+		left join
+		(
+			select distinct user_id
+			from ml.ML_D_CT_UI_USERCLEAN_DIMEN_D
+			where PARTITION_DAY = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			and (is_doctor = 'true'
+				or is_puppet = 'true'
+				or is_classify_user = 'true'
+				or is_reply_fake = 'true'
+				or is_staff = 'true'
+				or is_associated_issuedevice = 'true')
+		)b
+		on a.user_id=b.user_id
+		where b.user_id is null
+		group by a.tractate_id
+	)t2
+	on t1.card_id=t2.tractate_id
+)t2
+on t1.id= t2.card_id
+left join
+(
+	SELECT t1.card_id
+			,exp_pv
+			,click_pv
+			,page_pv
+			,reply_num
+			,vote_num
+			,favor_num
+			,share_num
+			,avg_page_stay
+	from
+	(
+		select a.card_id
+				,sum(exp_pv) as exp_pv
+				,sum(click_pv) as click_pv
+				,sum(page_pv) as page_pv
+				,round(sum(page_stay)/count(distinct e.cl_id,e.partition_date),2) as avg_page_stay
+		from
+		(--曝光
+			select partition_date,card_id,cl_id,count(distinct app_session_id) as exp_pv
+			from online.ml_community_precise_exposure_detail
+			where partition_date>=regexp_replace(DATE_SUB(current_date,3) ,'-','')
+			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'
+			group by partition_date,cl_id,card_id
+		)a
+		left join
+		(--点击
+			SELECT partition_date,params['card_id'] as card_id,cl_id,count(distinct app_session_id,cl_id) as click_pv
+			from online.bl_hdfs_maidian_updates
+			WHERE partition_date>=regexp_replace(DATE_SUB(current_date,3) ,'-','')
+			AND action='on_click_card'
+			AND params['page_name'] ='home'
+			AND params['tab_name'] = '精选'
+			GROUP BY partition_date,params['card_id'],cl_id
+		)b
+		on a.partition_date=b.partition_date and a.card_id=b.card_id and a.cl_id=b.cl_id
+		left join
+		(--平均阅读时长
+			SELECT partition_date,business_id,cl_id,page_stay
+			from
+			(
+			    SELECT partition_date,cl_id,params['business_id'] as business_id,page_stay,time_str
+				FROM  online.bl_hdfs_maidian_updates
+				WHERE partition_date >= regexp_replace(DATE_SUB(current_date,3) ,'-','')
+			    and action='page_view'
+			    and page_stay>=0 and page_stay<1000
+			    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+			    group by partition_date,cl_id,params['business_id'],page_stay,time_str
+			)a
+		)e
+		on a.partition_date=e.partition_date and a.card_id=e.business_id and a.cl_id=e.cl_id
+		left join
+		(--浏览pv
+
+			    SELECT partition_date,cl_id,params['business_id'] as business_id,count(distinct time_str) as page_pv
+				FROM  online.bl_hdfs_maidian_updates
+				WHERE partition_date >= regexp_replace(DATE_SUB(current_date,3) ,'-','')
+			    and action='page_view'
+			    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+			    group by partition_date,cl_id,params['business_id']
+		)f
+		on a.partition_date=f.partition_date and a.card_id=f.business_id and a.cl_id=f.cl_id
+		left join
+		(
+			select distinct device_id
+			from ML.ML_D_CT_DV_DEVICECLEAN_DIMEN_D
+			where PARTITION_DAY = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			AND (IS_MORE_USER = 'true'
+				OR IS_STAFF = 'true'
+				OR IS_SPAM_CHANNEL = 'true'
+				OR IS_SUSPICIOUS = 'true'
+				OR IS_ASSOCIATED_ISSUEUSER = 'ture')
+		)c
+		on a.cl_id=c.device_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,3) ,'-','')
+			)a
+			join
+			(
+				select distinct user_id
+				from ml.ML_D_CT_UI_USERCLEAN_DIMEN_D
+				where PARTITION_DAY = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				and (is_doctor = 'true'
+					or is_puppet = 'true'
+					or is_classify_user = 'true'
+					or is_reply_fake = 'true'
+					or is_staff = 'true'
+					or is_associated_issuedevice = 'true')
+			)b
+			on a.user_id=b.user_id
+		)d
+		on a.cl_id=d.device_id and a.partition_date=d.partition_date
+		where c.device_id is null and d.device_id is null
+		group by a.card_id
+	)t1
+	left join
+	(
+		SELECT a.tractate_id
+				,sum(case when type='reply' then num end) as reply_num
+				,sum(case when type='vote' then num end) as vote_num
+				,sum(case when type='favor' then num end) as favor_num
+				,sum(case when type='share' then num end) as share_num
+		from
+		(	--真实评论数
+			SELECT tractate_id,create_date,a.user_id,'reply' as type,sum(reply_num) as num
+			from
+			(--评论数
+				SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as reply_num
+				FROM  online.tl_hdfs_api_tractate_reply_view
+				WHERE partition_date =regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				and regexp_replace(substr(create_time,1,10),'-','') >= regexp_replace(DATE_SUB(current_date,3) ,'-','')
+				GROUP by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+			)a
+			JOIN --限制用户是在app进行的回复
+			(
+				SELECT a.partition_date,user_id
+				FROM
+				(
+					SELECT partition_date,user_id,device_id,action
+					FROM online.bl_hdfs_operation_updates
+					WHERE partition_date>=regexp_replace(DATE_SUB(current_date,3) ,'-','')
+				)a
+				JOIN
+				(
+					SELECT code
+					FROM  dim.dim_community_action_type
+					WHERE communityuserbehavior_type_name = '回帖'
+				)type
+				ON a.action = code
+				GROUP BY a.partition_date,user_id
+		    )b
+		       ON a.user_id = b.user_id
+		       AND a.create_date = b.partition_date
+		    group by tractate_id,create_date,a.user_id
+
+			union all
+			--真实点赞数
+			SELECT tractate_id,create_date,a.user_id,'vote' as type,sum(vote_num) as num
+		    FROM
+		    (
+		        SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as vote_num
+		        FROM online.tl_hdfs_api_tractate_vote_view
+		        WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+		        and regexp_replace(substr(create_time,1,10),'-','') >= regexp_replace(DATE_SUB(current_date,3) ,'-','')
+		        group by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+
+		        UNION ALL
+
+		        SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as vote_num
+		        FROM online.tl_hdfs_api_tractate_reply_vote_view
+		        WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+		        and regexp_replace(substr(create_time,1,10),'-','') >= regexp_replace(DATE_SUB(current_date,3) ,'-','')
+		        group by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+		    )a
+		    JOIN --限制用户是在app进行的回复
+			(
+				SELECT a.partition_date,user_id
+				FROM
+				(
+					SELECT partition_date,user_id,device_id,action
+					FROM online.bl_hdfs_operation_updates
+					WHERE partition_date>=regexp_replace(DATE_SUB(current_date,3) ,'-','')
+				)a
+				JOIN
+				(
+					SELECT code
+					FROM  dim.dim_community_action_type
+					WHERE communityuserbehavior_type_name = '点赞'
+				)type
+				ON a.action = code
+				GROUP BY a.partition_date,user_id
+		    )b
+		       ON a.user_id = b.user_id
+		       AND a.create_date = b.partition_date
+		    GROUP BY tractate_id,create_date,a.user_id
+
+			union all
+			--真实收藏数
+	        SELECT tractate_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,user_id,'favor' as type,count(distinct create_time) as num
+			FROM  online.tl_hdfs_api_tractate_favor_view
+			WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+	        and regexp_replace(substr(create_time,1,10),'-','') >=regexp_replace(DATE_SUB(current_date,3) ,'-','')
+			group by user_id,tractate_id,regexp_replace(substr(create_time,1,10),'-','')
+
+
+		    union all
+			--点击分享数
+		    SELECT params['business_id'] as tractate_id,partition_date as create_date,user_id,'share' as type,count(distinct time_str) as num
+			FROM  online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,3) ,'-','')
+		    and action='page_click_share'
+		    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+		    group by params['business_id'],partition_date,user_id
+		)a
+		left join
+		(
+			select distinct user_id
+			from ml.ML_D_CT_UI_USERCLEAN_DIMEN_D
+			where PARTITION_DAY = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			and (is_doctor = 'true'
+				or is_puppet = 'true'
+				or is_classify_user = 'true'
+				or is_reply_fake = 'true'
+				or is_staff = 'true'
+				or is_associated_issuedevice = 'true')
+		)b
+		on a.user_id=b.user_id
+		where b.user_id is null
+		group by a.tractate_id
+	)t2
+	on t1.card_id=t2.tractate_id
+)t3
+on t1.id= t3.card_id
+left join
+(
+	SELECT t1.card_id
+			,exp_pv
+			,click_pv
+			,page_pv
+			,reply_num
+			,vote_num
+			,favor_num
+			,share_num
+			,avg_page_stay
+	from
+	(
+		select a.card_id
+				,sum(exp_pv) as exp_pv
+				,sum(click_pv) as click_pv
+				,sum(page_pv) as page_pv
+				,round(sum(page_stay)/count(distinct e.cl_id,e.partition_date),2) as avg_page_stay
+		from
+		(--曝光
+			select partition_date,card_id,cl_id,count(distinct app_session_id) as exp_pv
+			from online.ml_community_precise_exposure_detail
+			where partition_date>='20160101' AND 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'
+			group by partition_date,cl_id,card_id
+		)a
+		left join
+		(--点击
+			SELECT partition_date,params['card_id'] as card_id,cl_id,count(distinct app_session_id,cl_id) as click_pv
+			from online.bl_hdfs_maidian_updates
+			WHERE partition_date>='20160101' AND 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'
+			GROUP BY partition_date,params['card_id'],cl_id
+		)b
+		on a.partition_date=b.partition_date and a.card_id=b.card_id and a.cl_id=b.cl_id
+		left join
+		(--平均阅读时长
+			SELECT partition_date,business_id,cl_id,page_stay
+			from
+			(
+			    SELECT partition_date,cl_id,params['business_id'] as business_id,page_stay,time_str
+				FROM  online.bl_hdfs_maidian_updates
+				WHERE partition_date >= '20160101'
+			    and partition_date <=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			    and action='page_view'
+			    and page_stay>=0 and page_stay<1000
+			    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+			    group by partition_date,cl_id,params['business_id'],page_stay,time_str
+			)a
+		)e
+		on a.partition_date=e.partition_date and a.card_id=e.business_id and a.cl_id=e.cl_id
+		left join
+		(--浏览pv
+
+			    SELECT partition_date,cl_id,params['business_id'] as business_id,count(distinct time_str) as page_pv
+				FROM  online.bl_hdfs_maidian_updates
+				WHERE partition_date >= '20160101'
+			    and partition_date <=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			    and action='page_view'
+			    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+			    group by partition_date,cl_id,params['business_id']
+		)f
+		on a.partition_date=f.partition_date and a.card_id=f.business_id and a.cl_id=f.cl_id
+		left join
+		(
+			select distinct device_id
+			from ML.ML_D_CT_DV_DEVICECLEAN_DIMEN_D
+			where PARTITION_DAY =regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			AND (IS_MORE_USER = 'true'
+				OR IS_STAFF = 'true'
+				OR IS_SPAM_CHANNEL = 'true'
+				OR IS_SUSPICIOUS = 'true'
+				OR IS_ASSOCIATED_ISSUEUSER = 'ture')
+		)c
+		on a.cl_id=c.device_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 >= '20160101'
+		    	and partition_date <=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			)a
+			join
+			(
+				select distinct user_id
+				from ml.ML_D_CT_UI_USERCLEAN_DIMEN_D
+				where PARTITION_DAY =regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				and (is_doctor = 'true'
+					or is_puppet = 'true'
+					or is_classify_user = 'true'
+					or is_reply_fake = 'true'
+					or is_staff = 'true'
+					or is_associated_issuedevice = 'true')
+			)b
+			on a.user_id=b.user_id
+		)d
+		on a.cl_id=d.device_id and a.partition_date=d.partition_date
+		where c.device_id is null and d.device_id is null
+		group by a.card_id
+	)t1
+	left join
+	(
+		SELECT a.tractate_id
+				,sum(case when type='reply' then num end) as reply_num
+				,sum(case when type='vote' then num end) as vote_num
+				,sum(case when type='favor' then num end) as favor_num
+				,sum(case when type='share' then num end) as share_num
+		from
+		(	--真实评论数
+			SELECT tractate_id,create_date,a.user_id,'reply' as type,sum(reply_num) as num
+			from
+			(--评论数
+				SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as reply_num
+				FROM  online.tl_hdfs_api_tractate_reply_view
+				WHERE partition_date =regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				-- and regexp_replace(substr(create_time,1,10),'-','') >= '20200101'
+				-- and regexp_replace(substr(create_time,1,10),'-','') < '${end_date}'
+				GROUP by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+			)a
+			JOIN --限制用户是在app进行的回复
+			(
+				SELECT a.partition_date,user_id
+				FROM
+				(
+					SELECT partition_date,user_id,device_id,action
+					FROM online.bl_hdfs_operation_updates
+					WHERE partition_date>='20160101'
+					AND partition_date<=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				)a
+				JOIN
+				(
+					SELECT code
+					FROM  dim.dim_community_action_type
+					WHERE communityuserbehavior_type_name = '回帖'
+				)type
+				ON a.action = code
+				GROUP BY a.partition_date,user_id
+		    )b
+		       ON a.user_id = b.user_id
+		       AND a.create_date = b.partition_date
+		    group by tractate_id,create_date,a.user_id
+
+			union all
+			--真实点赞数
+			SELECT tractate_id,create_date,a.user_id,'vote' as type,sum(vote_num) as num
+		    FROM
+		    (
+		        SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as vote_num
+		        FROM online.tl_hdfs_api_tractate_vote_view
+		        WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+		        -- and regexp_replace(substr(create_time,1,10),'-','') >= '20200101'
+		        -- and regexp_replace(substr(create_time,1,10),'-','') < '${end_date}'
+		        group by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+
+		        UNION ALL
+
+		        SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as vote_num
+		        FROM online.tl_hdfs_api_tractate_reply_vote_view
+		        WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+		        -- and regexp_replace(substr(create_time,1,10),'-','') >= '20200101'
+		        -- and regexp_replace(substr(create_time,1,10),'-','') < '${end_date}'
+		        group by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+		    )a
+		    JOIN --限制用户是在app进行的回复
+			(
+				SELECT a.partition_date,user_id
+				FROM
+				(
+					SELECT partition_date,user_id,device_id,action
+					FROM online.bl_hdfs_operation_updates
+					WHERE partition_date>='20160101'
+					AND partition_date<=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				)a
+				JOIN
+				(
+					SELECT code
+					FROM  dim.dim_community_action_type
+					WHERE communityuserbehavior_type_name = '点赞'
+				)type
+				ON a.action = code
+				GROUP BY a.partition_date,user_id
+		    )b
+		       ON a.user_id = b.user_id
+		       AND a.create_date = b.partition_date
+		    GROUP BY tractate_id,create_date,a.user_id
+
+			union all
+			--真实收藏数
+	        SELECT tractate_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,user_id,'favor' as type,count(distinct create_time) as num
+			FROM  online.tl_hdfs_api_tractate_favor_view
+			WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+	        -- and regexp_replace(substr(create_time,1,10),'-','') >= '${start_date}'
+	        -- and regexp_replace(substr(create_time,1,10),'-','') < '${end_date}'
+			group by user_id,tractate_id,regexp_replace(substr(create_time,1,10),'-','')
+
+
+		    union all
+			--点击分享数
+		    SELECT params['business_id'] as tractate_id,partition_date as create_date,user_id,'share' as type,count(distinct time_str) as num
+			FROM  online.bl_hdfs_maidian_updates
+			WHERE partition_date >= '20160101'
+		    and partition_date <=regexp_replace(DATE_SUB(current_date,1) ,'-','')
+		    and action='page_click_share'
+		    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+		    group by params['business_id'],partition_date,user_id
+		)a
+		left join
+		(
+			select distinct user_id
+			from ml.ML_D_CT_UI_USERCLEAN_DIMEN_D
+			where PARTITION_DAY =regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			and (is_doctor = 'true'
+				or is_puppet = 'true'
+				or is_classify_user = 'true'
+				or is_reply_fake = 'true'
+				or is_staff = 'true'
+				or is_associated_issuedevice = 'true')
+		)b
+		on a.user_id=b.user_id
+		where b.user_id is null
+		group by a.tractate_id
+	)t2
+	on t1.card_id=t2.tractate_id
+)t4
+on t1.id= t4.card_id
+left join
+(
+	SELECT t1.card_id
+			,exp_pv
+			,click_pv
+			,page_pv
+			,reply_num
+			,vote_num
+			,favor_num
+			,share_num
+			,avg_page_stay
+	from
+	(
+		select a.card_id
+				,sum(exp_pv) as exp_pv
+				,sum(click_pv) as click_pv
+				,sum(page_pv) as page_pv
+				,round(sum(page_stay)/count(distinct e.cl_id,e.partition_date),2) as avg_page_stay
+		from
+		(--曝光
+			select partition_date,card_id,cl_id,count(distinct app_session_id) as exp_pv
+			from online.ml_community_precise_exposure_detail
+			where partition_date>=regexp_replace(DATE_SUB(current_date,10) ,'-','')
+			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'
+			group by partition_date,cl_id,card_id
+		)a
+		left join
+		(--点击
+			SELECT partition_date,params['card_id'] as card_id,cl_id,count(distinct app_session_id,cl_id) as click_pv
+			from online.bl_hdfs_maidian_updates
+			WHERE partition_date>=regexp_replace(DATE_SUB(current_date,10) ,'-','')
+			AND action='on_click_card'
+			AND params['page_name'] ='home'
+			AND params['tab_name'] = '精选'
+			GROUP BY partition_date,params['card_id'],cl_id
+		)b
+		on a.partition_date=b.partition_date and a.card_id=b.card_id and a.cl_id=b.cl_id
+		left join
+		(--平均阅读时长
+			SELECT partition_date,business_id,cl_id,page_stay
+			from
+			(
+			    SELECT partition_date,cl_id,params['business_id'] as business_id,page_stay,time_str
+				FROM  online.bl_hdfs_maidian_updates
+				WHERE partition_date >= regexp_replace(DATE_SUB(current_date,10) ,'-','')
+			    and action='page_view'
+			    and page_stay>=0 and page_stay<1000
+			    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+			    group by partition_date,cl_id,params['business_id'],page_stay,time_str
+			)a
+		)e
+		on a.partition_date=e.partition_date and a.card_id=e.business_id and a.cl_id=e.cl_id
+		left join
+		(--浏览pv
+
+			    SELECT partition_date,cl_id,params['business_id'] as business_id,count(distinct time_str) as page_pv
+				FROM  online.bl_hdfs_maidian_updates
+				WHERE partition_date >= regexp_replace(DATE_SUB(current_date,10) ,'-','')
+			    and action='page_view'
+			    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+			    group by partition_date,cl_id,params['business_id']
+		)f
+		on a.partition_date=f.partition_date and a.card_id=f.business_id and a.cl_id=f.cl_id
+		left join
+		(
+			select distinct device_id
+			from ML.ML_D_CT_DV_DEVICECLEAN_DIMEN_D
+			where PARTITION_DAY = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			AND (IS_MORE_USER = 'true'
+				OR IS_STAFF = 'true'
+				OR IS_SPAM_CHANNEL = 'true'
+				OR IS_SUSPICIOUS = 'true'
+				OR IS_ASSOCIATED_ISSUEUSER = 'ture')
+		)c
+		on a.cl_id=c.device_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,3) ,'-','')
+			)a
+			join
+			(
+				select distinct user_id
+				from ml.ML_D_CT_UI_USERCLEAN_DIMEN_D
+				where PARTITION_DAY = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				and (is_doctor = 'true'
+					or is_puppet = 'true'
+					or is_classify_user = 'true'
+					or is_reply_fake = 'true'
+					or is_staff = 'true'
+					or is_associated_issuedevice = 'true')
+			)b
+			on a.user_id=b.user_id
+		)d
+		on a.cl_id=d.device_id and a.partition_date=d.partition_date
+		where c.device_id is null and d.device_id is null
+		group by a.card_id
+	)t1
+	left join
+	(
+		SELECT a.tractate_id
+				,sum(case when type='reply' then num end) as reply_num
+				,sum(case when type='vote' then num end) as vote_num
+				,sum(case when type='favor' then num end) as favor_num
+				,sum(case when type='share' then num end) as share_num
+		from
+		(	--真实评论数
+			SELECT tractate_id,create_date,a.user_id,'reply' as type,sum(reply_num) as num
+			from
+			(--评论数
+				SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as reply_num
+				FROM  online.tl_hdfs_api_tractate_reply_view
+				WHERE partition_date =regexp_replace(DATE_SUB(current_date,1) ,'-','')
+				and regexp_replace(substr(create_time,1,10),'-','') >= regexp_replace(DATE_SUB(current_date,10) ,'-','')
+				GROUP by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+			)a
+			JOIN --限制用户是在app进行的回复
+			(
+				SELECT a.partition_date,user_id
+				FROM
+				(
+					SELECT partition_date,user_id,device_id,action
+					FROM online.bl_hdfs_operation_updates
+					WHERE partition_date>=regexp_replace(DATE_SUB(current_date,10) ,'-','')
+				)a
+				JOIN
+				(
+					SELECT code
+					FROM  dim.dim_community_action_type
+					WHERE communityuserbehavior_type_name = '回帖'
+				)type
+				ON a.action = code
+				GROUP BY a.partition_date,user_id
+		    )b
+		       ON a.user_id = b.user_id
+		       AND a.create_date = b.partition_date
+		    group by tractate_id,create_date,a.user_id
+
+			union all
+			--真实点赞数
+			SELECT tractate_id,create_date,a.user_id,'vote' as type,sum(vote_num) as num
+		    FROM
+		    (
+		        SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as vote_num
+		        FROM online.tl_hdfs_api_tractate_vote_view
+		        WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+		        and regexp_replace(substr(create_time,1,10),'-','') >= regexp_replace(DATE_SUB(current_date,10) ,'-','')
+		        group by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+
+		        UNION ALL
+
+		        SELECT tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,count(distinct create_time) as vote_num
+		        FROM online.tl_hdfs_api_tractate_reply_vote_view
+		        WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+		        and regexp_replace(substr(create_time,1,10),'-','') >= regexp_replace(DATE_SUB(current_date,10) ,'-','')
+		        group by tractate_id,user_id,regexp_replace(substr(create_time,1,10),'-','')
+		    )a
+		    JOIN --限制用户是在app进行的回复
+			(
+				SELECT a.partition_date,user_id
+				FROM
+				(
+					SELECT partition_date,user_id,device_id,action
+					FROM online.bl_hdfs_operation_updates
+					WHERE partition_date>=regexp_replace(DATE_SUB(current_date,10) ,'-','')
+				)a
+				JOIN
+				(
+					SELECT code
+					FROM  dim.dim_community_action_type
+					WHERE communityuserbehavior_type_name = '点赞'
+				)type
+				ON a.action = code
+				GROUP BY a.partition_date,user_id
+		    )b
+		       ON a.user_id = b.user_id
+		       AND a.create_date = b.partition_date
+		    GROUP BY tractate_id,create_date,a.user_id
+
+			union all
+			--真实收藏数
+	        SELECT tractate_id,regexp_replace(substr(create_time,1,10),'-','') as create_date,user_id,'favor' as type,count(distinct create_time) as num
+			FROM  online.tl_hdfs_api_tractate_favor_view
+			WHERE partition_date = regexp_replace(date_sub(current_date(),1),'-','')
+	        and regexp_replace(substr(create_time,1,10),'-','') >=regexp_replace(DATE_SUB(current_date,10) ,'-','')
+			group by user_id,tractate_id,regexp_replace(substr(create_time,1,10),'-','')
+
+
+		    union all
+			--点击分享数
+		    SELECT params['business_id'] as tractate_id,partition_date as create_date,user_id,'share' as type,count(distinct time_str) as num
+			FROM  online.bl_hdfs_maidian_updates
+			WHERE partition_date >= regexp_replace(DATE_SUB(current_date,10) ,'-','')
+		    and action='page_click_share'
+		    and page_name in ('post_detail','user_post_detail','doctor_post_detail')
+		    group by params['business_id'],partition_date,user_id
+		)a
+		left join
+		(
+			select distinct user_id
+			from ml.ML_D_CT_UI_USERCLEAN_DIMEN_D
+			where PARTITION_DAY = regexp_replace(DATE_SUB(current_date,1) ,'-','')
+			and (is_doctor = 'true'
+				or is_puppet = 'true'
+				or is_classify_user = 'true'
+				or is_reply_fake = 'true'
+				or is_staff = 'true'
+				or is_associated_issuedevice = 'true')
+		)b
+		on a.user_id=b.user_id
+		where b.user_id is null
+		group by a.tractate_id
+	)t2
+	on t1.card_id=t2.tractate_id
+)t5
+on t1.id= t5.card_id
+order by `3日曝光pv` desc
+
+
+
+

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,dailiang@igengmei.com,zhanghaoyu@igengmei.com,cp-sunyinghe@igengmei.com,zhaofei@igengmei.com/weiyimin@igengmei.com,yindanlei@igengmei.com,wangyan@igengmei.com
\ No newline at end of file
+command=curl -X GET http://localhost:8553/api/report/email/meigou_detail_page/liudi@igengmei.com,wangxin@igengmei.com,dailiang@igengmei.com,zhanghaoyu@igengmei.com,cp-sunyinghe@igengmei.com,zhaofei@igengmei.com,zhaoyang@igengmei.com/weiyimin@igengmei.com,yindanlei@igengmei.com,wangyan@igengmei.com
\ No newline at end of file