Commit c6d34498 authored by litaolemo's avatar litaolemo

update

parent f513e2e8
...@@ -65,7 +65,7 @@ spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDF ...@@ -65,7 +65,7 @@ spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDF
# huidu_device_id_df = spark.sql(huidu_device_id_sql) # huidu_device_id_df = spark.sql(huidu_device_id_sql)
# huidu_device_id_df.createOrReplaceTempView("dev_view") # huidu_device_id_df.createOrReplaceTempView("dev_view")
task_list = [] task_list = []
task_days = 80 task_days = 3
for t in range(0, task_days): for t in range(0, task_days):
day_num = 0 - t day_num = 0 - t
......
# -*- coding:UTF-8 -*-
# @Time : 2020/11/18 14:05
# @File : daily_search_word_count_fix.py
# @email : litao@igengmei.com
# @author : litao
# -*- coding:UTF-8 -*-
# @Time : 2020/11/13 11:08
# @File : daily_search_word_count.py
# @email : litao@igengmei.com
# @author : litao
# coding=utf-8
import hashlib
import time
from pyspark import SparkConf
from pyspark.sql import SparkSession, DataFrame
import pymysql
# from elasticsearch import Elasticsearch
import datetime
# from maintenance.func_send_email_with_file import send_file_email
# import zipfile
# es = Elasticsearch([
# {
# 'host': '172.16.31.17',
# 'port': 9200,
# }, {
# 'host': '172.16.31.11',
# 'port': 9200,
# }])
startTime = time.time()
sparkConf = SparkConf()
sparkConf.set("spark.sql.crossJoin.enabled", True)
sparkConf.set("spark.debug.maxToStringFields", "100")
sparkConf.set("spark.tispark.plan.allow_index_double_read", False)
sparkConf.set("spark.tispark.plan.allow_index_read", True)
sparkConf.set("spark.hive.mapred.supports.subdirectories", True)
sparkConf.set("spark.hadoop.mapreduce.input.fileinputformat.input.dir.recursive", True)
sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
sparkConf.set("mapreduce.output.fileoutputformat.compress", False)
sparkConf.set("mapreduce.map.output.compress", False)
sparkConf.set("prod.gold.jdbcuri",
"jdbc:mysql://172.16.30.136/doris_prod?user=doris&password=o5gbA27hXHHm&rewriteBatchedStatements=true")
sparkConf.set("prod.mimas.jdbcuri",
"jdbc:mysql://172.16.30.138/mimas_prod?user=mimas&password=GJL3UJe1Ck9ggL6aKnZCq4cRvM&rewriteBatchedStatements=true")
sparkConf.set("prod.gaia.jdbcuri",
"jdbc:mysql://172.16.30.143/zhengxing?user=work&password=BJQaT9VzDcuPBqkd&rewriteBatchedStatements=true")
sparkConf.set("prod.tidb.jdbcuri",
"jdbc:mysql://172.16.40.158:4000/eagle?user=st_user&password=aqpuBLYzEV7tML5RPsN1pntUzFy&rewriteBatchedStatements=true")
sparkConf.set("prod.jerry.jdbcuri",
"jdbc:mysql://172.16.40.158:4000/jerry_prod?user=st_user&password=aqpuBLYzEV7tML5RPsN1pntUzFy&rewriteBatchedStatements=true")
sparkConf.set("prod.tispark.pd.addresses", "172.16.40.158:2379")
sparkConf.set("prod.tispark.pd.addresses", "172.16.40.170:4000")
sparkConf.set("prod.tidb.database", "jerry_prod")
sparkConf.setAppName("test")
spark = (SparkSession.builder.config(conf=sparkConf).config("spark.sql.extensions", "org.apache.spark.sql.TiExtensions")
.config("spark.tispark.pd.addresses", "172.16.40.170:2379").enableHiveSupport().getOrCreate())
spark.sql("ADD JAR hdfs:///user/hive/share/lib/udf/brickhouse-0.7.1-SNAPSHOT.jar")
spark.sql("ADD JAR hdfs:///user/hive/share/lib/udf/hive-udf-1.0-SNAPSHOT.jar")
spark.sql("CREATE TEMPORARY FUNCTION json_map AS 'brickhouse.udf.json.JsonMapUDF'")
spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJsonFormatCheck'")
spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDFArryMerge'")
# print(huidu_device_id_sql)
# huidu_device_id_df = spark.sql(huidu_device_id_sql)
# huidu_device_id_df.createOrReplaceTempView("dev_view")
task_list = []
task_days = 80
for t in range(0, task_days):
day_num = 0 - t
now = (datetime.datetime.now() + datetime.timedelta(days=day_num))
last_30_day_str = (now + datetime.timedelta(days=-30)).strftime("%Y%m%d")
today_str = now.strftime("%Y%m%d")
yesterday_str = (now + datetime.timedelta(days=-1)).strftime("%Y%m%d")
one_week_age_str = (now + datetime.timedelta(days=-7)).strftime("%Y%m%d")
sql_search_ctr = r"""
SELECT query,
partition_date,
all_search_uv as all_search_uv, --全部搜索uv
all_search_pv as all_search_pv --全部搜索pv
FROM (
--搜索pvuv
SELECT query
, count(click.cl_id) as all_search_pv
, count(distinct click.cl_id) as all_search_uv,
partition_date
FROM (
SELECT cl_id,
partition_date,
action,
params['page_name'] as page_name,
params['input_type'] as input_type,
app_version,
params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '{start_date}'
AND partition_date < '{end_date}'
AND ((action = 'do_search' AND params['input_type'] <> 'everyone_watch') or
action = 'search_result_click_search')
UNION all
SELECT cl_id,
partition_date,
action,
params['page_name'] as page_name,
params['input_type'] as input_type,
app_version,
params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '{start_date}'
AND partition_date < '{end_date}'
AND action = 'do_search'
and params['input_type'] = 'everyone_watch'
and params['tab'] = '精选'
and page_name = 'home'
AND params['query'] not in ('AI测颜值', 'AI测肤质') --这两个词不跳转搜索结果页
union all
SELECT cl_id,
partition_date,
action,
'search_home' as page_name,
'' as input_type,
app_version,
params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '{start_date}'
AND partition_date < '{end_date}'
AND action = 'on_click_card'
AND params['page_name'] = 'search_home'
union all
SELECT cl_id,
partition_date,
action,
'home' as page_name,
'首页-猜你喜欢' as input_type,
app_version,
params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '{start_date}'
AND partition_date < '{end_date}'
AND action = 'on_click_card'
AND params['in_page_pos'] = '猜你喜欢'
--AND params['tab_name']='精选'
AND params['card_type'] = 'search_word'
AND params['card_name'] not in ('AI测颜值', 'AI测肤质') --这两个词不跳转搜索结果页
--AND page_name='home' android的page_name为空
union all
SELECT cl_id,
partition_date,
action,
params['page_name'] as page_name,
'美购首页-大家都在搜' as input_type,
app_version,
params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '{start_date}'
AND partition_date < '{end_date}'
AND action = 'on_click_card'
AND params['page_name'] = 'welfare_home'
AND params['card_type'] = 'search_word'
AND params['in_page_pos'] = '大家都在搜'
union all
SELECT cl_id,
partition_date,
action,
params['page_name'] as page_name,
'高亮词' as input_type,
app_version,
params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '{start_date}'
AND partition_date < '{end_date}'
AND action = 'on_click_card'
AND params['card_type'] = 'highlight_word'
) click
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='{start_date}'
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=click.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='{start_date}'
)t1
JOIN
( --医生账号
SELECT distinct user_id
FROM online.tl_hdfs_doctor_view
WHERE partition_date = '{start_date}'
--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 = '{start_date}'
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 = '{start_date}'
) t1
JOIN
(
SELECT device_id
FROM online.ml_device_history_detail
WHERE partition_date = '{start_date}'
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 click.partition_date=dev.partition_date and click.cl_id=dev.device_id
WHERE spam_pv.device_id IS NULL
and dev.device_id is null
GROUP BY query,click.partition_date
) t3 order by all_search_uv desc
""".format(start_date=yesterday_str, end_date=today_str)
print(sql_search_ctr)
search_ctr_df = spark.sql(sql_search_ctr)
search_ctr_df.show(1)
sql_res = search_ctr_df.collect()
tag_names_list_week = []
for name in sql_res:
# print(name)
word = name.query
nums = name.all_search_pv
uv = name.all_search_uv
partition_date = str(now + datetime.timedelta(days=-1))
tag_names_list_week.append((word, nums, uv, partition_date))
db = pymysql.connect(host='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy',
db='jerry_prod')
cursor = db.cursor()
insert_sql = "replace into daily_search_word_count_fix(word, nums, uv,pid,partition_day) VALUES(%s,%s,%s,%s,%s)"
insert_list = []
for count, item in enumerate(tag_names_list_week):
word, nums, uv, partition_date = item
try:
if len(word) >= 200:
continue
pid = hashlib.md5((partition_date + word).encode("utf8")).hexdigest()
insert_sql_tuple = (word, nums, uv, pid, partition_date)
insert_list.append(insert_sql_tuple)
# print(insert_sql_tuple)
except:
continue
if count % 100 == 0:
cursor.execute("set names 'UTF8'")
res = cursor.executemany(insert_sql, insert_list)
db.commit()
# print(res)
insert_list = []
# print(count)
res = cursor.executemany(insert_sql, insert_list)
db.commit()
db.close()
print(res)
if __name__ == "__main__":
tag_names_list = []
tag_names_list_week = []
all_data_day = []
all_data_week = []
...@@ -79,8 +79,7 @@ spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJso ...@@ -79,8 +79,7 @@ spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJso
spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDFArryMerge'") spark.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDFArryMerge'")
task_days = 2 for t in range(6, 7):
for t in range(0, 60):
day_num = 0 - t day_num = 0 - t
now = (datetime.datetime.now() + datetime.timedelta(days=day_num)) now = (datetime.datetime.now() + datetime.timedelta(days=day_num))
last_30_day_str = (now + datetime.timedelta(days=-30)).strftime("%Y%m%d") last_30_day_str = (now + datetime.timedelta(days=-30)).strftime("%Y%m%d")
...@@ -839,10 +838,11 @@ for t in range(0, 60): ...@@ -839,10 +838,11 @@ for t in range(0, 60):
pid = hashlib.md5((day_id + device_os_type + active_type + card_content_type + recommend_type).encode("utf8")).hexdigest() pid = hashlib.md5((day_id + device_os_type + active_type + card_content_type + recommend_type).encode("utf8")).hexdigest()
try: try:
card_click_diff = data_dict.get(pid) - card_click card_click_diff = data_dict.get(pid) - card_click
print(card_click_diff) if card_click_diff:
card_click += card_click_diff print(card_click_diff)
card_exposure += card_click_diff card_click += card_click_diff
click_ctr = round(card_click/card_exposure,5) card_exposure += card_click_diff
click_ctr = round(card_click/card_exposure,5)
except: except:
print("add error") print("add error")
instert_sql = """replace into recommend_strategy_d_fix( instert_sql = """replace into recommend_strategy_d_fix(
......
...@@ -4,12 +4,6 @@ ...@@ -4,12 +4,6 @@
# @email : litao@igengmei.com # @email : litao@igengmei.com
# @author : litao # @author : litao
# -*- coding:UTF-8 -*-
# @Time : 2020/9/4 17:07
# @File : search_meigou_ctr.py
# @email : litao@igengmei.com
# @author : litao
import hashlib import hashlib
import json import json
......
--搜索日报-英赫 --搜索日报-英赫
SELECT
partition_date as `日期`
,device_os_type as `平台`,active_type as `活跃类型`,channel as `渠道类型`
,dau as `DAU`
,all_search_uv as `完成搜索uv`
,all_search_pv as `完成搜索pv`
,if(dau <> 0 ,concat(cast((all_search_uv/dau)*100 as decimal(18,2)),'%') , '-') as `完成搜索的用户比例`
,if(all_search_uv <> 0 ,concat(cast((all_search_pv/all_search_uv) as decimal(18,2)),'') , '-') as `搜索用户人均使用次数`
FROM SELECT query
( , coalesce(t3.all_search_uv, 0) as all_search_uv --全部搜索uv
SELECT , coalesce(t3.all_search_pv, 0) as all_search_pv --全部搜索pv
coalesce(t1.partition_date,t2.partition_date,t3.partition_date,t4.partition_date,t5.partition_date,t6.partition_date,t7.partition_date,t8.partition_date,t9.partition_date) as partition_date , t3.partition_date
,coalesce(t1.active_type,t2.active_type,t3.active_type,t4.active_type,t5.active_type,t6.active_type,t7.active_type,t8.active_type,t9.active_type) as active_type FROM (
,coalesce(t1.device_os_type,t2.device_os_type,t3.device_os_type,t4.device_os_type,t5.device_os_type,t6.device_os_type,t7.device_os_type,t8.device_os_type,t9.device_os_type) as device_os_type --搜索pvuv
,coalesce(t1.channel,t2.channel,t3.channel,t4.channel,t5.channel,t6.channel,t7.channel,t8.channel,t9.channel) as channel SELECT query
,coalesce(t1.dau,0) as dau , click.partition_date as partition_date
,coalesce(t3.all_search_uv,0) as all_search_uv --全部搜索uv , count(click.cl_id) as all_search_pv
,coalesce(t3.all_search_pv,0) as all_search_pv --全部搜索pv , count(distinct click.cl_id) as all_search_uv
FROM (
SELECT cl_id,
partition_date,
action,
params['page_name'] as page_name,
params['input_type'] as input_type,
app_version,
params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND ((action = 'do_search' AND params['input_type'] <> 'everyone_watch') or
action = 'search_result_click_search')
UNION all
SELECT cl_id,
partition_date,
action,
params['page_name'] as page_name,
params['input_type'] as input_type,
app_version,
params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'do_search'
and params['input_type'] = 'everyone_watch'
and params['tab'] = '精选'
and page_name = 'home'
AND params['query'] not in ('AI测颜值', 'AI测肤质') --这两个词不跳转搜索结果页
union all
SELECT cl_id,
partition_date,
action,
'search_home' as page_name,
'' as input_type,
app_version,
params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['page_name'] = 'search_home'
union all
SELECT cl_id,
partition_date,
action,
'home' as page_name,
'首页-猜你喜欢' as input_type,
app_version,
params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['in_page_pos'] = '猜你喜欢'
--AND params['tab_name']='精选'
AND params['card_type'] = 'search_word'
AND params['card_name'] not in ('AI测颜值', 'AI测肤质') --这两个词不跳转搜索结果页
--AND page_name='home' android的page_name为空
union all
SELECT cl_id,
partition_date,
action,
params['page_name'] as page_name,
'美购首页-大家都在搜' as input_type,
app_version,
params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['page_name'] = 'welfare_home'
AND params['card_type'] = 'search_word'
AND params['in_page_pos'] = '大家都在搜'
union all
SELECT cl_id,
partition_date,
action,
params['page_name'] as page_name,
'高亮词' as input_type,
app_version,
params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['card_type'] = 'highlight_word'
) click
GROUP BY click.partition_date, query
) t3
FROM
( --dau
SELECT mas.partition_date,count(DISTINCT mas.device_id) as dau
FROM
(
SELECT
partition_date,m.device_id
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>= '${start_date}' AND partition_day < '${end_date}' ) tmp
ON m.partition_date=tmp.partition_day AND first_channel_source_type=code
where partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND active_type in ('1','2','4')
) mas
GROUP BY mas.partition_date
)t1
full JOIN
(
--搜索发起,搜索框点击,724版本埋点修复
SELECT
click.partition_date as partition_date
,count(click.cl_id) as all_search_click_pv_724
,count(distinct click.cl_id) as all_search_click_uv_724
FROM
(
SELECT cl_id,partition_date,action,params['page_name'] as page_name,'' as input_type,app_version
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_navbar_search'
AND (int(split(app_version,'\\.')[0]) = 7 AND int(split(app_version,'\\.')[1]) >= 24)
UNION all
SELECT cl_id,partition_date,action,params['page_name'] as page_name,params['input_type'] as input_type,app_version
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'do_search'
AND params['input_type'] = '详情页默认词'
UNION all
SELECT cl_id,partition_date,action,page_name,'旧首页-大家都在看' as input_type,app_version
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'do_search'
and params['input_type']='everyone_watch'
and params['tab']='精选'
and page_name='home'
AND params['query'] not in ('AI测颜值','AI测肤质') --这两个词不跳转搜索结果页
union all
SELECT cl_id,partition_date,action,'home' as page_name,'新首页-猜你喜欢' as input_type,app_version
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['in_page_pos']='猜你喜欢'
--AND params['tab_name']='精选'
AND params['card_type']='search_word'
AND params['card_name'] not in ('AI测颜值','AI测肤质') --这两个词不跳转搜索结果页
--AND page_name='home' android的page_name为空
union all
SELECT cl_id,partition_date,action,params['page_name'] as page_name,'美购首页-大家都在搜' as input_type,app_version
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['page_name']='welfare_home'
AND params['card_type'] ='search_word'
AND params['in_page_pos']='大家都在搜'
union all
SELECT cl_id,partition_date,action,params['page_name'] as page_name,'高亮词' as input_type,app_version
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['card_type'] ='highlight_word'
)click
GROUP BY click.partition_date,active_type,device_os_type,channel
)t2
on t2.partition_date = t1.partition_date
AND t2.active_type = t1.active_type
AND t2.device_os_type = t1.device_os_type
AND t2.channel = t1.channel
full JOIN
(
--搜索pvuv
SELECT
click.partition_date as partition_date
,active_type
,device_os_type
,channel
,count(click.cl_id) as all_search_pv
,count(distinct click.cl_id) as all_search_uv
,count(case when int(split(app_version,'\\.')[0]) = 7 AND int(split(app_version,'\\.')[1]) >= 26 AND input_type in ('联想','聚合模块') then click.cl_id end) as sug_search_pv_726
,count(distinct case when int(split(app_version,'\\.')[0]) = 7 AND int(split(app_version,'\\.')[1]) >= 26 AND input_type in ('联想','聚合模块') then click.cl_id end) as sug_search_uv_726
FROM
(
SELECT cl_id,partition_date,action,params['page_name'] as page_name,params['input_type'] as input_type,app_version,params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND ((action = 'do_search' AND params['input_type']<>'everyone_watch') or action='search_result_click_search')
UNION all
SELECT cl_id,partition_date,action,params['page_name'] as page_name,params['input_type'] as input_type,app_version,params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'do_search'
and params['input_type']='everyone_watch'
and params['tab']='精选'
and page_name='home'
AND params['query'] not in ('AI测颜值','AI测肤质') --这两个词不跳转搜索结果页
union all
SELECT cl_id,partition_date,action,'search_home' as page_name,'' as input_type,app_version,params['query'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['page_name']='search_home'
union all
SELECT cl_id,partition_date,action,'home' as page_name,'首页-猜你喜欢' as input_type,app_version,params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['in_page_pos']='猜你喜欢'
--AND params['tab_name']='精选'
AND params['card_type']='search_word'
AND params['card_name'] not in ('AI测颜值','AI测肤质') --这两个词不跳转搜索结果页
--AND page_name='home' android的page_name为空
union all
SELECT cl_id,partition_date,action,params['page_name'] as page_name,'美购首页-大家都在搜' as input_type,app_version,params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['page_name']='welfare_home'
AND params['card_type'] ='search_word'
AND params['in_page_pos']='大家都在搜'
union all
SELECT cl_id,partition_date,action,params['page_name'] as page_name,'高亮词' as input_type,app_version,params['card_name'] as query
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= '${start_date}'
AND partition_date < '${end_date}'
AND action = 'on_click_card'
AND params['card_type'] ='highlight_word'
)click
GROUP BY click.partition_date,active_type,device_os_type,channel
)t3
on t3.partition_date = t1.partition_date
AND t3.active_type = t1.active_type
AND t3.device_os_type = t1.device_os_type
AND t3.channel = t1.channel
)t
ORDER BY `日期`,`平台`,`活跃类型`,`渠道类型`
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment