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黎涛
meta_base_code
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6af03e4d
Commit
6af03e4d
authored
Nov 24, 2020
by
litaolemo
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recommend_strategy_fix.py
task/recommend_strategy_fix.py
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task/recommend_strategy_fix.py
View file @
6af03e4d
...
@@ -780,69 +780,13 @@ for t in range(0, 3):
...
@@ -780,69 +780,13 @@ for t in range(0, 3):
and t13.page_name=t3.card_content_type
and t13.page_name=t3.card_content_type
LEFT JOIN
LEFT JOIN
(
(
select distinct device_id
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)
from ML.ML_D_CT_DV_DEVICECLEAN_DIMEN_D
WHERE partition_day={partition_day}
where PARTITION_DAY = '{partition_day}'
AND is_abnormal_device = 'true'
union all
)dev
on t2.cl_id=dev.device_id
select distinct device_id
WHERE dev.device_id is null
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={partition_day}
)t1
JOIN
( --医生账号
SELECT distinct user_id
FROM online.tl_hdfs_doctor_view
WHERE partition_date = {partition_day}
--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 = {partition_day}
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 = {partition_day}
) t1
JOIN
(
SELECT device_id
FROM online.ml_device_history_detail
WHERE partition_date = {partition_day}
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
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
order by day_id,device_os_type,active_type,card_content_type,recommend_type
"""
.
format
(
partition_day
=
today_str
)
"""
.
format
(
partition_day
=
today_str
)
...
...
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