Commit d40c9c2b authored by 魏艺敏's avatar 魏艺敏

update codes

parent 1d6e5108
#step2.job #step2.job
type=command type=command
dependencies=step1_1,step1_2,step1_3,step1_4,step1_5,step1_6,step1_7,step1_8,step1_9 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 command=/home/bi/bi-report/lib/shell/hive.sh daily_recommend_strategy_insert
\ No newline at end of file \ No newline at end of file
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_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(sum(t3.session_pv),0) as card_click,
NVL(sum(t2.session_pv),0) as card_exposure,
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'
or params['in_page_pos']='top' or params['in_page_pos']='bottom')
AND action='on_click_card'
and params['card_content_type']='service'
AND page_name IN ('diary_detail','topic_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;
\ No newline at end of file
--***************************************************************
--*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
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