Commit 80869331 authored by yindanlei's avatar yindanlei

add icon_function_day report codes

parent 19322a17
icon_function_day=首页icon及功能区数据
\ No newline at end of file
--***************************************************************
--*脚本名称:
--*功能: 首页icon及功能区数据
--*业务名称: pm
--*输入数据:
--*作者: yindanlei@igengmei.com
--*更新时间:2020-09-23
--***************************************************************
--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_icon_function_d
(
date string comment '{"chs_name":"日期","description":"","etl":"","value":"","remark":""}',
grey_type string comment '{"chs_name":"灰度","description":"","etl":"","value":"","remark":""}',
dau BIGINT comment '{"chs_name":"dau","description":"","etl":"","value":"","remark":""}',
dau_733 BIGINT comment '{"chs_name":"7.33版本及以上dau","description":"","etl":"","value":"","remark":""}',
gengxinlv string comment '{"chs_name":"版本更新率","description":"","etl":"","value":"","remark":""}',
quanzhong_dau string comment '{"chs_name":"权重日活","description":"","etl":"","value":"","remark":""}',
ciliu string comment '{"chs_name":"次留率","description":"","etl":"","value":"","remark":""}',
function_click_pv_rate string comment '{"chs_name":"功能入口点击率pv","description":"","etl":"","value":"","remark":""}',
function_click_uv_rate string comment '{"chs_name":"功能入口点击率uv","description":"","etl":"","value":"","remark":""}',
icon_click_pv_rate string comment '{"chs_name":"icon点击率pv","description":"","etl":"","value":"","remark":""}',
icon_click_uv_rate string comment '{"chs_name":"icon点击率uv","description":"","etl":"","value":"","remark":""}',
refer_function_wel_pv_rate string comment '{"chs_name":"通过功能区到商详页pv占比","description":"","etl":"","value":"","remark":""}',
refer_function_wel_uv_rate string comment '{"chs_name":"通过功能区到商详页uv占比","description":"","etl":"","value":"","remark":""}',
refer_icon_wel_pv_rate string comment '{"chs_name":"通过icon到商详页pv占比","description":"","etl":"","value":"","remark":""}',
refer_icon_wel_uv_rate string comment '{"chs_name":"通过icon到商详页uv占比","description":"","etl":"","value":"","remark":""}',
click_function_pv string comment '{"chs_name":"功能入口点击pv","description":"","etl":"","value":"","remark":""}',
click_function_uv string comment '{"chs_name":"功能入口点击uv","description":"","etl":"","value":"","remark":""}',
exp_function_pv string comment '{"chs_name":"功能入口曝光pv","description":"","etl":"","value":"","remark":""}',
exp_function_uv string comment '{"chs_name":"功能入口曝光uv","description":"","etl":"","value":"","remark":""}',
click_icon_pv string comment '{"chs_name":"icon点击pv","description":"","etl":"","value":"","remark":""}',
click_icon_uv string comment '{"chs_name":"icon点击uv","description":"","etl":"","value":"","remark":""}',
exp_icon_pv string comment '{"chs_name":"icon曝光pv","description":"","etl":"","value":"","remark":""}',
exp_icon_uv string comment '{"chs_name":"icon曝光uv","description":"","etl":"","value":"","remark":""}',
wel_pv string comment '{"chs_name":"商详页浏览pv","description":"","etl":"","value":"","remark":""}',
wel_uv string comment '{"chs_name":"商详页浏览uv","description":"","etl":"","value":"","remark":""}',
wel_function_pv string comment '{"chs_name":"通过功能区到商详页pv","description":"","etl":"","value":"","remark":""}',
wel_function_uv string comment '{"chs_name":"通过功能区到商详页uv","description":"","etl":"","value":"","remark":""}',
wel_icon_pv string comment '{"chs_name":"通过icon到商详页pv","description":"","etl":"","value":"","remark":""}',
wel_icon_uv string comment '{"chs_name":"通过icon到商详页uv","description":"","etl":"","value":"","remark":""}',
neirong_icon_pv string comment '{"chs_name":"通过icon到内容页pv","description":"","etl":"","value":"","remark":""}',
neirong_icon_uv string comment '{"chs_name":"通过icon到内容页uv","description":"","etl":"","value":"","remark":""}',
all_two_pv string comment '{"chs_name":"通过icon总二跳pv","description":"","etl":"","value":"","remark":""}',
all_two_uv string comment '{"chs_name":"通过icon总二跳uv","description":"","etl":"","value":"","remark":""}'
)comment '首页icon及功能区数据'
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
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_icon_function_d PARTITION (PARTITION_DAY = ${partition_day})
SELECT t1.partition_date as date `日期`
,t1.grey_type as grey_type `灰度`
,count(distinct t1.device_id) as dau
,nvl(count(distinct t2.device_id),0) as dau_733 `7.33版本及以上dau`
,nvl(concat(round(count(distinct t2.device_id)/count(distinct t1.device_id)*100,2),'%'),0) as gengxinlv `版本更新率`
,round(count(DISTINCT CASE WHEN active_type = '老活' AND device_os_type = 'android' AND channel_type = 'AI' THEN t2.device_id END)*0.14
+count(DISTINCT CASE WHEN active_type = '老活' AND device_os_type = 'android' AND channel_type = '医美' THEN t2.device_id END)*0.64
+count(DISTINCT CASE WHEN active_type = '新增' AND device_os_type = 'android' AND channel_type = 'AI' THEN t2.device_id END)*0.08
+count(DISTINCT CASE WHEN active_type = '新增' AND device_os_type = 'android' AND channel_type = '医美' THEN t2.device_id END)*0.19
+count(DISTINCT CASE WHEN active_type = '老活' AND device_os_type = 'ios' AND channel_type = 'AI' THEN t2.device_id END)*0.32
+count(DISTINCT CASE WHEN active_type = '老活' AND device_os_type = 'ios' AND channel_type = '积分墙' THEN t2.device_id END)*0.28
+count(DISTINCT CASE WHEN active_type = '老活' AND device_os_type = 'ios' AND channel_type = '医美' THEN t2.device_id END)*1.00
+count(DISTINCT CASE WHEN active_type = '新增' AND device_os_type = 'ios' AND channel_type = 'AI' THEN t2.device_id END)*0.19
+count(DISTINCT CASE WHEN active_type = '新增' AND device_os_type = 'ios' AND channel_type = '积分墙' THEN t2.device_id END)*0.03
+count(DISTINCT CASE WHEN active_type = '新增' AND device_os_type = 'ios' AND channel_type = '医美' THEN t2.device_id END)*0.57,0) as quanzhong_dau `权重日活`
,nvl(concat(round(count(distinct t3.device_id)/count(distinct t2.device_id)*100,2),'%'),0) as ciliu `次留率`
,nvl(concat(round(sum(t4.click_function_pv)/sum(t4.exp_function_pv)*100,2),'%'),0) as function_click_pv_rate `功能入口点击率PV`
,nvl(concat(round(count(distinct case when t4.click_function_pv>0 then t4.cl_id end)/count(case when t4.exp_function_pv>0 then t4.cl_id end)*100,2),'%'),0) as function_click_uv_rate `功能入口点击率UV`
,nvl(concat(round(sum(t5.click_icon_pv)/sum(t5.exp_icon_pv)*100,2),'%'),0) as icon_click_pv_rate `icon点击率PV`
,nvl(concat(round(count(distinct case when t5.click_icon_pv>0 then t5.cl_id end)/count(case when t5.exp_icon_pv>0 then t5.cl_id end)*100,2),'%'),0) as icon_click_uv_rate `icon点击率UV`
,nvl(concat(round(sum(t7.wel_function_pv)/sum(t7.wel_pv)*100,2),'%'),0) as refer_function_wel_pv_rate `通过功能区到商详页pv占比`
,nvl(concat(round(count(case when t7.wel_function_pv>0 then t7.cl_id end)/count(case when t7.wel_pv>0 then t7.cl_id end)*100,2),'%'),0) as refer_function_wel_uv_rate `通过功能区到商详页uv占比`
,nvl(concat(round(sum(t6.wel_pv)/sum(t7.wel_pv)*100,2),'%'),0) as refer_icon_wel_pv_rate `通过icon到商详页pv占比`
,nvl(concat(round(count(case when t6.wel_pv>0 then t6.cl_id end)/count(case when t7.wel_pv>0 then t7.cl_id end)*100,2),'%'),0) as refer_icon_wel_uv_rate `通过icon到商详页uv占比`
,sum(t4.click_function_pv) as click_function_pv `功能入口点击pv`
,count(distinct case when t4.click_function_pv>0 then t4.cl_id end) as click_function_uv `功能入口点击uv`
,sum(t4.exp_function_pv) as exp_function_pv `功能入口曝光pv`
,count(case when t4.exp_function_pv>0 then t4.cl_id end) as exp_function_uv `功能入口曝光uv`
,sum(t5.click_icon_pv) as click_icon_pv `icon点击pv`
,count(distinct case when t5.click_icon_pv>0 then t5.cl_id end) as click_icon_uv `icon点击uv`
,sum(t5.exp_icon_pv) as exp_icon_pv `icon曝光pv`
,count(case when t5.exp_icon_pv>0 then t5.cl_id end) as exp_icon_uv `icon曝光uv`
,nvl(sum(t7.wel_pv),0) as wel_pv `商详页浏览PV`
,nvl(count(case when t7.wel_pv>0 then t7.cl_id end),0) as wel_uv `商详页浏览UV`
,nvl(sum(t7.wel_function_pv),0) as wel_function_pv `通过功能区到商详页PV`
,nvl(count(case when t7.wel_function_pv>0 then t7.cl_id end),0) as wel_function_uv `通过功能区到商详页UV`
,nvl(sum(t6.wel_pv),0) as wel_icon_pv `通过icon到商详页pv`
,nvl(count(case when t6.wel_pv>0 then t6.cl_id end),0) as wel_icon_uv `通过icon到商详页UV`
,nvl(sum(t6.neirong_pv),0) as neirong_icon_pv `通过icon到内容页PV`
,nvl(count(case when t6.neirong_pv>0 then t6.cl_id end),0) as neirong_icon_uv `通过icon到内容页UV`
,nvl(sum(t6.all_pv),0) as all_two_pv `通过icon总二跳PV`
,nvl(count(case when t6.all_pv>0 then t6.cl_id end),0) as all_two_uv `通过icon总二跳UV`
from
(
SELECT
concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date
,m.device_id,device_os_type
,case when active_type in ('1','2') then '新增'
when active_type ='4' then '老活' end as active_type
,CASE WHEN is_ai_channel = 'true' THEN 'AI'
WHEN first_channel_source_type 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') then '积分墙' ELSE '医美' END as channel_type
,case when (partition_date<='20200916' AND substr(convup(sha1(m.device_id),16,10),-2,2)%20 in(0,1,2,3,4,5,6,7,8,9))
or (partition_date>='20200917' AND partition_date <='20200922' AND substr(convup(sha1(m.device_id),16,10),-2,2)%20 in(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15)) then '灰度'
when (partition_date='20200916' AND substr(convup(sha1(m.device_id),16,10),-2,2)%20 in(10,11,12,13,14,15))
or (partition_date='20200922' AND substr(convup(sha1(m.device_id),16,10),-2,2)%20 in(16,17,18,19)) then '其他'
WHEN partition_date>='20200923' then '灰度全量' else '非灰' end as grey_type
FROM online.ml_device_day_active_status m
LEFT JOIN
(SELECT code,is_ai_channel,partition_day
FROM DIM.DIM_AI_CHANNEL_ZP_NEW
WHERE partition_day>= '20200910' AND partition_day <= REGEXP_REPLACE(date_sub(current_date(),1),'-','')) tmp
ON m.partition_date=tmp.partition_day AND first_channel_source_type=code
where partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
AND active_type in ('1','2','4')
)t1
left join
(
SELECT partition_date,device_id
FROM
(
select concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date
,app_version_list,device_id
from online.ml_device_updates
where partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
)a
LATERAL VIEW EXPLODE (app_version_list) t as app_version
where int(split(app_version,'\\.')[1]) >= 33
group by partition_date,device_id
)t2
on t1.partition_date=t2.partition_date and t1.device_id=t2.device_id
left join
(
SELECT device_id
,concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date
FROM online.ml_device_day_active_status
WHERE partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
)t3
on t2.device_id=t3.device_id and date_add(t2.partition_date,1)=t3.partition_date
LEFT JOIN
(
SELECT t2.partition_date,t2.cl_id
,sum(t2.pv) as exp_function_pv
,sum(t3.pv) as click_function_pv
from
(--精准曝光,卡片id和session_id去重
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date,
cl_id,
count(distinct time_str) as pv
from online.ml_community_precise_exposure_detail
WHERE partition_date>='20200910' 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 (card_content_type ='function_entrance' or card_type='function_entrance')
group by partition_date,
cl_id
)t2
LEFT JOIN
(--卡片,卡片id和session_id去重
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date,
cl_id,
count(distinct time_str) as pv
from online.bl_hdfs_maidian_updates
WHERE partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
AND ((action='on_click_card' and params['card_type']='function_entrance') or action='on_click_function')
AND params['page_name'] ='home'
GROUP BY partition_date,
cl_id
)t3
on t2.partition_date=t3.partition_date
and t2.cl_id=t3.cl_id
group by t2.partition_date,t2.cl_id
)t4
on t2.partition_date =t4.partition_date and t2.device_id=t4.cl_id
LEFT JOIN
(
SELECT t2.partition_date,t2.cl_id
,sum(t2.pv) as exp_icon_pv
,sum(t3.pv) as click_icon_pv
from
(--精准曝光,卡片id和session_id去重
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date,
cl_id,
count(distinct time_str) as pv
from online.ml_community_precise_exposure_detail
WHERE partition_date>='20200910' 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 card_type = 'icon'
AND page_name = 'home'
group by partition_date,
cl_id
)t2
LEFT JOIN
(--卡片,卡片id和session_id去重
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date,
cl_id,
count(distinct time_str) as pv
from online.bl_hdfs_maidian_updates
WHERE partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
AND ((action = 'on_click_card' AND params['card_type'] = 'icon' AND page_name = 'home')
or (action = 'home_click_section'))
GROUP BY partition_date,
cl_id
)t3
on t2.partition_date=t3.partition_date
and t2.cl_id=t3.cl_id
group by t2.partition_date,t2.cl_id
)t5
on t2.partition_date =t5.partition_date and t2.device_id=t5.cl_id
LEFT JOIN
(
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date,
cl_id,
count(distinct CASE WHEN page_name='welfare_detail' THEN time_str END) as wel_pv,
count(distinct CASE WHEN page_name in ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','video_steep','article_detail'
,'wiki_detail','product_detail','wiki_brand','wiki_collect','question_answer_detail') THEN time_str END) as neirong_pv,
count(distinct time_str) as all_pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
AND action = 'page_view'
AND page_name in ('welfare_detail','diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','video_steep','article_detail'
,'wiki_detail','product_detail','wiki_brand','wiki_collect','question_answer_detail','organization_detail','expert_detail','welfare_list')
AND params['referrer'] = 'category'
group by partition_date,
cl_id
)t6
ON t2.partition_date=t6.partition_date AND t2.device_id=t6.cl_id
LEFT JOIN
(
SELECT t2.partition_date,t2.cl_id
,sum(t2.pv) as wel_pv
,sum(t3.pv) as wel_function_pv
from
(
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date,
cl_id,
count(distinct time_str) as pv
from online.bl_hdfs_maidian_updates
WHERE partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
AND page_name ='welfare_detail'
and action='page_view'
group by partition_date,
cl_id
)t2
left join
(
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date,
cl_id,
count(distinct time_str) as pv
from online.bl_hdfs_maidian_updates
WHERE partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
AND page_name ='welfare_detail'
and action='page_view'
and params['referrer_link'] like '%[%'
and json_split(params['referrer_link'])[0] in ('home','')
and json_split(params['referrer_link'])[1] in ('face_scan','new_sign','consultant_conversation_detail','video_face_consultation','ai_conversation_detail')
group by partition_date,
cl_id
union all
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as partition_date,
cl_id,
count(distinct time_str) as pv
from online.bl_hdfs_maidian_updates
WHERE partition_date>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
AND page_name ='welfare_detail'
and action='page_view'
and params['referrer_link'] like '%[%'
and json_split(params['referrer_link'])[0] in ('home','')
and referrer='custom_special'
and params['referrer_id']='605'
group by partition_date,
cl_id
)t3
on t2.partition_date=t3.partition_date and t2.cl_id=t3.cl_id
group by t2.partition_date,t2.cl_id
)t7
on t2.partition_date =t7.partition_date and t2.device_id=t7.cl_id
LEFT JOIN
(
SELECT distinct device_id
FROM dim.dim_device_user_staff --去除内网用户
)a
on t2.device_id=a.device_id
LEFT JOIN
(
SELECT concat_ws('-',substr(partition_date,1,4),substr(partition_date,5,2),substr(partition_date,7,2)) as 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>='20200910' AND partition_date<=REGEXP_REPLACE(date_sub(current_date(),1),'-','')
)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.device_id=dev.device_id
WHERE (a.device_id is NULL or a.device_id ='')
AND (dev.device_id is NULL or dev.device_id ='')
group by t1.partition_date,t1.grey_type
order by data desc
#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
#step1_15.job
#step1_10.job
type=command
command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_device_history_detail
\ No newline at end of file
#step1_16.job
#step1_2.job
type=command
command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive dim DIM_AI_CHANNEL_ZP_NEW
\ No newline at end of file
#step1_3.job
type=command
command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online bl_hdfs_maidian_updates
\ No newline at end of file
command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_device_updates
\ No newline at end of file
#step1_4.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
#step1_5.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
#step1_6.job
type=command
command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_user_updates
\ No newline at end of file
#step1_7.job
type=command
command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online tl_hdfs_doctor_view
\ No newline at end of file
#step1_8.job
type=command
command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive ml ml_c_ct_ui_user_dimen_d
\ No newline at end of file
#step1_9.job
type=command
command=sh /home/bi/bi-report/lib/shell/waitsuccess.sh hive online ml_user_history_detail
\ No newline at end of file
#step2.job
type=command
dependencies=step1_1,step1_2,step1_3,step1_4,step1_5,step1_6,step1_7,step1_8,step1_9,step1_10
command=sh /home/bi/bi-report/lib/shell/hive icon_function_day
\ No newline at end of file
#step3.job
type=command
dependencies=step2
command=curl -X GET http://localhost:8553/api/report/email/icon_function_day/yindanlei@igengmei.com
\ No newline at end of file
--首页icon及功能区数据
SELECT
date AS `日期`
,grey_type AS `灰度`
,dau AS `dau`
,dau_733 AS `7.33版本及以上dau`
,gengxinlv AS `版本更新率`
,quanzhong_dau AS `权重日活`
,ciliu AS `次留率`
,function_click_pv_rate AS `功能入口点击率pv`
,function_click_uv_rate AS `功能入口点击率uv`
,icon_click_pv_rate AS `icon点击率pv`
,icon_click_uv_rate AS `icon点击率uv`
,refer_function_wel_pv_rate AS `通过功能区到商详页pv占比`
,refer_function_wel_uv_rate AS `通过功能区到商详页uv占比`
,refer_icon_wel_pv_rate AS `通过icon到商详页pv占比`
,refer_icon_wel_uv_rate AS `通过icon到商详页uv占比`
,click_function_pv AS `功能入口点击pv`
,click_function_uv AS `功能入口点击uv`
,exp_function_pv AS `功能入口曝光pv`
,exp_function_uv AS `功能入口曝光uv`
,click_icon_pv AS `icon点击pv`
,click_icon_uv AS `icon点击uv`
,exp_icon_pv AS `icon曝光pv`
,exp_icon_uv AS `icon曝光uv`
,wel_pv AS `商详页浏览pv`
,wel_uv AS `商详页浏览uv`
,wel_function_pv AS `通过功能区到商详页pv`
,wel_function_uv AS `通过功能区到商详页uv`
,wel_icon_pv AS `通过icon到商详页pv`
,wel_icon_uv AS `通过icon到商详页UV`
,neirong_icon_pv AS `通过icon到内容页pv`
,neirong_icon_uv AS `通过icon到内容页uv`
,all_two_pv AS `通过icon总二跳pv`
,all_two_uv AS `通过icon总二跳uv`
FROM pm.tl_pm_icon_function_d
where partition_day=regexp_replace(DATE_SUB(current_date,1) ,'-','')
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