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Commit 552d5392 authored by litaolemo's avatar litaolemo
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README.md
View file @ 552d5392
...@@ -4,5 +4,7 @@ metabase 数据开发相关代码 ...@@ -4,5 +4,7 @@ metabase 数据开发相关代码
服务器 airflow002 服务器 airflow002
1. 切换权限 sudo su - gmuser 1. 切换权限 sudo su - gmuser
2. source /srv/envs/esmm/bin/activate 2. source /srv/envs/esmm/bin/activate
3. python crawler/crawler_sys/utils/get_query_result.py 3. 执行 start_task即可
/opt/spark/bin/spark-submit --master yarn --deploy-mode client --queue root.strategy --driver-memory 16g --executor-memory 1g --executor-cores 1 --num-executors 70 --conf spark.default.parallelism=100 --conf spark.storage.memoryFraction=0.5 --conf spark.shuffle.memoryFraction=0.3 --conf spark.executorEnv.LD_LIBRARY_PATH="/opt/java/jdk1.8.0_181/jre/lib/amd64/server:/opt/cloudera/parcels/CDH-5.16.1-1.cdh5.16.1.p0.3/lib64" --conf spark.locality.wait=0 --jars /srv/apps/tispark-core-2.1-SNAPSHOT-jar-with-dependencies.jar,/srv/apps/spark-connector_2.11-1.9.0-rc2.jar,/srv/apps/mysql-connector-java-5.1.38.jar /srv/apps/meta_base_code/task/conent_detail_page_grayscale_ctr.py /opt/spark/bin/spark-submit --master yarn --deploy-mode client --queue root.strategy --driver-memory 16g --executor-memory 1g --executor-cores 1 --num-executors 70 --conf spark.default.parallelism=100 --conf spark.storage.memoryFraction=0.5 --conf spark.shuffle.memoryFraction=0.3 --conf spark.executorEnv.LD_LIBRARY_PATH="/opt/java/jdk1.8.0_181/jre/lib/amd64/server:/opt/cloudera/parcels/CDH-5.16.1-1.cdh5.16.1.p0.3/lib64" --conf spark.locality.wait=0 --jars /srv/apps/tispark-core-2.1-SNAPSHOT-jar-with-dependencies.jar,/srv/apps/spark-connector_2.11-1.9.0-rc2.jar,/srv/apps/mysql-connector-java-5.1.38.jar /srv/apps/meta_base_code/task/conent_detail_page_grayscale_ctr.py
/opt/spark/bin/spark-submit --master yarn --deploy-mode client --queue root.strategy --driver-memory 16g --executor-memory 1g --executor-cores 1 --num-executors 70 --conf spark.default.parallelism=100 --conf spark.storage.memoryFraction=0.5 --conf spark.shuffle.memoryFraction=0.3 --conf spark.executorEnv.LD_LIBRARY_PATH="/opt/java/jdk1.8.0_181/jre/lib/amd64/server:/opt/cloudera/parcels/CDH-5.16.1-1.cdh5.16.1.p0.3/lib64" --conf spark.locality.wait=0 --jars /srv/apps/tispark-core-2.1-SNAPSHOT-jar-with-dependencies.jar,/srv/apps/spark-connector_2.11-1.9.0-rc2.jar,/srv/apps/mysql-connector-java-5.1.38.jar /srv/apps/meta_base_code/task/recommend_strategy_d.py
task/recommend_strategy_d.py
View file @ 552d5392
...@@ -4,11 +4,6 @@ ...@@ -4,11 +4,6 @@
# @email : litao@igengmei.com # @email : litao@igengmei.com
# @author : litao # @author : litao
# -*- coding:UTF-8 -*-
# @Time : 2020/8/19 11:53
# @File : from_sparksql_to_mysql.py
# @email : litao@igengmei.com
# @author : litao
import hashlib import hashlib
import json import json
......
task/search_strategy_d.py 0 → 100644
View file @ 552d5392
# -*- coding:UTF-8 -*-
# @Time : 2020/8/21 16:43
# @File : search_strategy_d.py
# @email : litao@igengmei.com
# @author : litao
import hashlib
import json
import pymysql
import xlwt, datetime
import redis
# from pyhive import hive
from maintenance.func_send_email_with_file import send_file_email
from typing import Dict, List
from elasticsearch_7 import Elasticsearch
from elasticsearch_7.helpers import scan
import sys
import time
from pyspark import SparkConf
from pyspark.sql import SparkSession, DataFrame
from pyspark.sql.functions import lit
import pytispark.pytispark as pti
# db = pymysql.connect(host='172.16.40.158', port=4000, user='st_user', passwd='aqpuBLYzEV7tML5RPsN1pntUzFy',
# db='jerry_prod')
# cursor = db.cursor()
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")
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").appName(
"LR PYSPARK TEST").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'")
task_list = []
task_days = 1
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 = """SELECT t1.query as `query词`
,t1.device_os_type as `设备类型`
,t1.active_type as `活跃类型`
,t1.channel as `渠道类型`
,NVL(t1.search_pv,0) as `过去30天搜索pv`
,NVL(t1.search_uv,0) as `过去30天搜索uv`
,if(NVL(t3.search_uv,0) <> 0 ,concat(cast((NVL(t4.hexin_card_click_pv,0)/NVL(t3.search_uv,0)) as decimal(18,2)),'') , '-') as `昨天-核心卡片点击PV/搜索UV`
,if(NVL(t3.search_uv,0) <> 0 ,concat(cast((NVL(t4.neirong_card_click_pv,0)/NVL(t3.search_uv,0)) as decimal(18,2)),'') , '-') as `昨天-内容卡片点击PV/搜索UV`
,if(NVL(t5.search_uv,0) <> 0 ,concat(cast((NVL(t6.hexin_card_click_pv,0)/NVL(t5.search_uv,0)) as decimal(18,2)),'') , '-') as `过去7天-核心卡片点击PV/搜索UV`
,if(NVL(t5.search_uv,0) <> 0 ,concat(cast((NVL(t6.neirong_card_click_pv,0)/NVL(t5.search_uv,0)) as decimal(18,2)),'') , '-') as `过去7天-内容卡片点击PV/搜索UV`
,if(NVL(t1.search_uv,0) <> 0 ,concat(cast((NVL(t2.hexin_card_click_pv,0)/NVL(t1.search_uv,0)) as decimal(18,2)),'') , '-') as `过去30天-核心卡片点击PV/搜索UV`
,if(NVL(t1.search_uv,0) <> 0 ,concat(cast((NVL(t2.neirong_card_click_pv,0)/NVL(t1.search_uv,0)) as decimal(18,2)),'') , '-') as `过去30天-内容卡片点击PV/搜索UV`
,NVL(t2.hexin_card_click_pv,0) as `过去30天搜索结果核心卡片点击pv`
,NVL(t2.neirong_card_click_pv,0) as `过去30天搜索结果内容卡片点击pv`
,NVL(t3.search_pv,0) as `昨天搜索pv`
,NVL(t3.search_uv,0) as `昨天搜索uv`
,NVL(t4.hexin_card_click_pv,0) as `昨天搜索结果核心卡片点击pv`
,NVL(t4.neirong_card_click_pv,0) as `昨天搜索结果内容卡片点击pv`
,NVL(t5.search_pv,0) as `过去7天搜索pv`
,NVL(t5.search_uv,0) as `过去7天搜索uv`
,NVL(t6.hexin_card_click_pv,0) as `过去7天搜索结果核心卡片点击pv`
,NVL(t6.neirong_card_click_pv,0) as `过去7天搜索结果内容卡片点击pv`
FROM
(--过去30天总搜索量
SELECT query,active_type,device_os_type,channel,search_pv,search_uv
FROM
(
SELECT query,active_type,device_os_type,channel
,count(t1.cl_id) as search_pv
,count(distinct t1.cl_id) as search_uv
FROM
(
SELECT partition_date
,params['query'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
AND action in ('do_search','search_result_click_search')
UNION ALL
SELECT partition_date,params['query'] as query,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
AND action = 'on_click_card'
AND params['page_name']='search_home'
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
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 page_name='home' android的page_name为空
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
AND action = 'on_click_card'
AND page_name='welfare_home'
AND params['card_type'] ='search_word'
AND params['in_page_pos']='大家都在搜'
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
AND int(split(app_version,'\\.')[1]) >= 27
AND action='on_click_card'
AND params['card_type']='highlight_word'
)t1
JOIN
(
SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
FROM
(
SELECT
partition_date,m.device_id
,array(device_os_type ,'合计') as device_os_type
,array(case WHEN active_type = '4' THEN '老活'
WHEN active_type in ('1','2') then '新增' END ,'合计') as active_type
,array(CASE WHEN is_ai_channel = 'true' THEN 'AI' ELSE '其他' END , '合计') as channel
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>= {last_30_day_str}
AND partition_day < {today_str}) tmp
ON m.partition_date=tmp.partition_day AND first_channel_source_type=code
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
AND active_type in ('1','2','4')
) mas
LATERAL VIEW explode(mas.channel) t2 AS channel
LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
LATERAL VIEW explode(mas.active_type) t2 AS active_type
)t2
on t1.cl_id=t2.device_id AND t1.partition_date = t2.partition_date
GROUP BY query,active_type,device_os_type,channel
)t
)t1
LEFT JOIN
--过去30天搜索结果页卡片点击pv
(
SELECT t1.query,active_type,device_os_type,channel
,sum(hexin) as hexin_card_click_pv
,sum(neirong) as neirong_card_click_pv
FROM
(
SELECT NVL(t2.partition_date,t3.partition_date) as partition_date
,NVL(t2.cl_id,t3.cl_id) as cl_id
,NVL(t2.query,t3.query) as query
,NVL(t2.pv) as hexin
,NVL(t3.pv) as neirong
FROM
(--核心卡片点击
SELECT partition_date
,params['query'] as query
,cl_id
,count(1) as pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
AND ((action in ('search_result_click_recommend_item','search_result_welfare_click_item','search_result_hospital_click_item','search_result_doctor_click_item','on_click_doctor_card', 'on_click_hospital_card')
AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
or (action = 'goto_welfare_detail' AND params [ 'from' ] = 'search_result_welfare_recommend')
or (action = 'on_click_card' AND params['card_content_type'] in ('service','hospital','doctor') AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
or (action = 'on_click_button' AND params['button_name'] = 'check_plan' AND page_name = 'search_result_more'))
GROUP BY partition_date
,params['query']
,cl_id
)t2
FULL JOIN
(--内容卡片点击
SELECT partition_date
,params['query'] as query
,cl_id
,count(1) as pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
AND ((action in ('on_click_topic_card','on_click_diary_card','search_result_click_infomation_item')
AND page_name in ('search_result_more','search_result_diary','search_result_post'))
or (action = 'on_click_card' AND params['card_content_type'] in ('answer','diary') AND page_name in ('search_result_more','search_result_diary','search_result_question_answer')))
GROUP BY partition_date
,params['query']
,cl_id
)t3
on t3.partition_date=t2.partition_date
AND t3.query=t2.query
AND t3.cl_id=t2.cl_id
)t1
JOIN
(
SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
FROM
(
SELECT
partition_date,m.device_id
,array(device_os_type ,'合计') as device_os_type
,array(case WHEN active_type = '4' THEN '老活'
WHEN active_type in ('1','2') then '新增' END ,'合计') as active_type
,array(CASE WHEN is_ai_channel = 'true' THEN 'AI' ELSE '其他' END , '合计') as channel
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>= {last_30_day_str}
AND partition_day < {today_str}) tmp
ON m.partition_date=tmp.partition_day AND first_channel_source_type=code
WHERE partition_date >= {last_30_day_str}
AND partition_date < {today_str}
AND active_type in ('1','2','4')
) mas
LATERAL VIEW explode(mas.channel) t2 AS channel
LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
LATERAL VIEW explode(mas.active_type) t2 AS active_type
)dev
on t1.cl_id=dev.device_id and t1.partition_date = dev.partition_date
GROUP BY t1.query,active_type,device_os_type,channel
)t2
on t1.query=t2.query and t1.active_type=t2.active_type and t1.device_os_type = t2.device_os_type AND t1.channel = t2.channel
LEFT JOIN
(--昨天总搜索量
SELECT query,active_type,device_os_type,channel,search_pv,search_uv
FROM
(
SELECT query,active_type,device_os_type,channel
,count(t1.cl_id) as search_pv
,count(distinct t1.cl_id) as search_uv
FROM
(
SELECT partition_date
,params['query'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
AND action in ('do_search','search_result_click_search')
UNION ALL
SELECT partition_date,params['query'] as query,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
AND action = 'on_click_card'
AND params['page_name']='search_home'
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
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 page_name='home' android的page_name为空
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
AND action = 'on_click_card'
AND page_name='welfare_home'
AND params['card_type'] ='search_word'
AND params['in_page_pos']='大家都在搜'
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
AND int(split(app_version,'\\.')[1]) >= 27
AND action='on_click_card'
AND params['card_type']='highlight_word'
)t1
JOIN
(
SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
FROM
(
SELECT
partition_date,m.device_id
,array(device_os_type ,'合计') as device_os_type
,array(case WHEN active_type = '4' THEN '老活'
WHEN active_type in ('1','2') then '新增' END ,'合计') as active_type
,array(CASE WHEN is_ai_channel = 'true' THEN 'AI' ELSE '其他' END , '合计') as channel
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>= {yesterday_str}
AND partition_day < {today_str}) tmp
ON m.partition_date=tmp.partition_day AND first_channel_source_type=code
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
AND active_type in ('1','2','4')
) mas
LATERAL VIEW explode(mas.channel) t2 AS channel
LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
LATERAL VIEW explode(mas.active_type) t2 AS active_type
)t2
on t1.cl_id=t2.device_id AND t1.partition_date = t2.partition_date
GROUP BY query,active_type,device_os_type,channel
)t
)t3
on t1.query=t3.query and t1.active_type=t3.active_type and t1.device_os_type = t3.device_os_type AND t1.channel = t3.channel
LEFT JOIN
(--昨天搜索结果页卡片点击pv
SELECT t1.query,active_type,device_os_type,channel
,sum(hexin) as hexin_card_click_pv
,sum(neirong) as neirong_card_click_pv
FROM
(
SELECT NVL(t2.partition_date,t3.partition_date) as partition_date
,NVL(t2.cl_id,t3.cl_id) as cl_id
,NVL(t2.query,t3.query) as query
,NVL(t2.pv) as hexin
,NVL(t3.pv) as neirong
FROM
(--核心卡片点击
SELECT partition_date
,params['query'] as query
,cl_id
,count(1) as pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
AND ((action in ('search_result_click_recommend_item','search_result_welfare_click_item','search_result_hospital_click_item','search_result_doctor_click_item','on_click_doctor_card', 'on_click_hospital_card')
AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
or (action = 'goto_welfare_detail' AND params [ 'from' ] = 'search_result_welfare_recommend')
or (action = 'on_click_card' AND params['card_content_type'] in ('service','hospital','doctor') AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
or (action = 'on_click_button' AND params['button_name'] = 'check_plan' AND page_name = 'search_result_more'))
GROUP BY partition_date
,params['query']
,cl_id
)t2
FULL JOIN
(--内容卡片点击
SELECT partition_date
,params['query'] as query
,cl_id
,count(1) as pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
AND ((action in ('on_click_topic_card','on_click_diary_card','search_result_click_infomation_item')
AND page_name in ('search_result_more','search_result_diary','search_result_post'))
or (action = 'on_click_card' AND params['card_content_type'] in ('answer','diary') AND page_name in ('search_result_more','search_result_diary','search_result_question_answer')))
GROUP BY partition_date
,params['query']
,cl_id
)t3
on t3.partition_date=t2.partition_date
AND t3.query=t2.query
AND t3.cl_id=t2.cl_id
)t1
JOIN
(
SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
FROM
(
SELECT
partition_date,m.device_id
,array(device_os_type ,'合计') as device_os_type
,array(case WHEN active_type = '4' THEN '老活'
WHEN active_type in ('1','2') then '新增' END ,'合计') as active_type
,array(CASE WHEN is_ai_channel = 'true' THEN 'AI' ELSE '其他' END , '合计') as channel
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>= {yesterday_str}
AND partition_day < {today_str}) tmp
ON m.partition_date=tmp.partition_day AND first_channel_source_type=code
WHERE partition_date >= {yesterday_str}
AND partition_date < {today_str}
AND active_type in ('1','2','4')
) mas
LATERAL VIEW explode(mas.channel) t2 AS channel
LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
LATERAL VIEW explode(mas.active_type) t2 AS active_type
)dev
on t1.cl_id=dev.device_id and t1.partition_date = dev.partition_date
GROUP BY t1.query,active_type,device_os_type,channel
)t4
on t1.query=t4.query and t1.active_type=t4.active_type and t1.device_os_type = t4.device_os_type AND t1.channel = t4.channel
LEFT JOIN
(--过去一周总搜索量
SELECT query,active_type,device_os_type,channel,search_pv,search_uv
FROM
(
SELECT query,active_type,device_os_type,channel
,count(t1.cl_id) as search_pv
,count(distinct t1.cl_id) as search_uv
FROM
(
SELECT partition_date
,params['query'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
AND action in ('do_search','search_result_click_search')
UNION ALL
SELECT partition_date,params['query'] as query,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
AND action = 'on_click_card'
AND params['page_name']='search_home'
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
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 page_name='home' android的page_name为空
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
AND action = 'on_click_card'
AND page_name='welfare_home'
AND params['card_type'] ='search_word'
AND params['in_page_pos']='大家都在搜'
UNION ALL
SELECT partition_date
,params['card_name'] as query
,cl_id
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
AND int(split(app_version,'\\.')[1]) >= 27
AND action='on_click_card'
AND params['card_type']='highlight_word'
)t1
JOIN
(
SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
FROM
(
SELECT
partition_date,m.device_id
,array(device_os_type ,'合计') as device_os_type
,array(case WHEN active_type = '4' THEN '老活'
WHEN active_type in ('1','2') then '新增' END ,'合计') as active_type
,array(CASE WHEN is_ai_channel = 'true' THEN 'AI' ELSE '其他' END , '合计') as channel
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>= {one_week_age_str}
AND partition_day < {today_str}) tmp
ON m.partition_date=tmp.partition_day AND first_channel_source_type=code
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
AND active_type in ('1','2','4')
) mas
LATERAL VIEW explode(mas.channel) t2 AS channel
LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
LATERAL VIEW explode(mas.active_type) t2 AS active_type
)t2
on t1.cl_id=t2.device_id AND t1.partition_date = t2.partition_date
GROUP BY query,active_type,device_os_type,channel
)t
)t5
on t1.query=t5.query and t1.active_type=t5.active_type and t1.device_os_type = t5.device_os_type AND t1.channel = t5.channel
LEFT JOIN
(--过去一周搜索结果页卡片点击pv
SELECT t1.query,active_type,device_os_type,channel
,sum(hexin) as hexin_card_click_pv
,sum(neirong) as neirong_card_click_pv
FROM
(
SELECT NVL(t2.partition_date,t3.partition_date) as partition_date
,NVL(t2.cl_id,t3.cl_id) as cl_id
,NVL(t2.query,t3.query) as query
,NVL(t2.pv) as hexin
,NVL(t3.pv) as neirong
FROM
(--核心卡片点击
SELECT partition_date
,params['query'] as query
,cl_id
,count(1) as pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
AND ((action in ('search_result_click_recommend_item','search_result_welfare_click_item','search_result_hospital_click_item','search_result_doctor_click_item','on_click_doctor_card', 'on_click_hospital_card')
AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
or (action = 'goto_welfare_detail' AND params [ 'from' ] = 'search_result_welfare_recommend')
or (action = 'on_click_card' AND params['card_content_type'] in ('service','hospital','doctor') AND page_name in ('search_result_more','search_result_welfare','search_result_hospital','search_result_doctor'))
or (action = 'on_click_button' AND params['button_name'] = 'check_plan' AND page_name = 'search_result_more'))
GROUP BY partition_date
,params['query']
,cl_id
)t2
FULL JOIN
(--内容卡片点击
SELECT partition_date
,params['query'] as query
,cl_id
,count(1) as pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
AND ((action in ('on_click_topic_card','on_click_diary_card','search_result_click_infomation_item')
AND page_name in ('search_result_more','search_result_diary','search_result_post'))
or (action = 'on_click_card' AND params['card_content_type'] in ('answer','diary') AND page_name in ('search_result_more','search_result_diary','search_result_question_answer')))
GROUP BY partition_date
,params['query']
,cl_id
)t3
on t3.partition_date=t2.partition_date
AND t3.query=t2.query
AND t3.cl_id=t2.cl_id
)t1
JOIN
(
SELECT partition_date,device_id,t2.active_type,t2.channel,t2.device_os_type
FROM
(
SELECT
partition_date,m.device_id
,array(device_os_type ,'合计') as device_os_type
,array(case WHEN active_type = '4' THEN '老活'
WHEN active_type in ('1','2') then '新增' END ,'合计') as active_type
,array(CASE WHEN is_ai_channel = 'true' THEN 'AI' ELSE '其他' END , '合计') as channel
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>= {one_week_age_str}
AND partition_day < {today_str}) tmp
ON m.partition_date=tmp.partition_day AND first_channel_source_type=code
WHERE partition_date >= {one_week_age_str}
AND partition_date < {today_str}
AND active_type in ('1','2','4')
) mas
LATERAL VIEW explode(mas.channel) t2 AS channel
LATERAL VIEW explode(mas.device_os_type) t2 AS device_os_type
LATERAL VIEW explode(mas.active_type) t2 AS active_type
)dev
on t1.cl_id=dev.device_id and t1.partition_date = dev.partition_date
GROUP BY t1.query,active_type,device_os_type,channel
)t6
on t1.query=t6.query and t1.active_type=t6.active_type and t1.device_os_type = t6.device_os_type AND t1.channel = t6.channel
order by `过去30天搜索pv` desc,`query词`""".format(last_30_day_str=last_30_day_str, today_str=today_str,
yesterday_str=yesterday_str, one_week_age_str=one_week_age_str)
device_df = spark.sql(sql)
device_df.show(1, False)
sql_res = device_df.collect()
for res in sql_res:
print(res)
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