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Commit f6b8c2e3 authored by litaolemo's avatar litaolemo
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task/daily_search_word_count_last_two_year.py 0 → 100644
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# -*- coding:UTF-8 -*-
# @Time : 2020/11/25 16:11
# @File : daily_search_word_count_last_two_year.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,
# }])
es = Elasticsearch([
{
'host': '172.16.31.13',
'port': 9000,
}])
def get_all_tag():
res_dict = {}
sql = "select name from api_tag where is_online = 1 and tag_type = 3"
db = pymysql.connect(host='172.16.30.136', port=3306, user='doris', passwd='o5gbA27hXHHm',
db='doris_prod')
cursor = db.cursor()
cursor.execute(sql)
result = cursor.fetchall()
db.close()
for res in result:
res_dict[res[0]] = 1
return res_dict
def from_es_get_service_num(query):
q = {
"query": {
"bool": {
"must": {
"multi_match": {
"query": query,
"fields": ["name", "sku_list.name"],
"operator": "and",
"type": "best_fields",
"analyzer": "ik_max_word"
}
}
}
}
}
results = es.search(
index='gm_dbmw-service-read',
doc_type='service',
timeout='10s',
size=0,
body=q
)
if results['hits']['total'] > 0:
return results['hits']['total']
else:
return 0
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 = 2
for t in range(1, 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")
last_two_year_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
GROUP BY query,partition_date
) t3 order by all_search_uv desc
""".format(start_date=last_two_year_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 = []
tag_dict = get_all_tag()
for name in sql_res:
# print(name)
keywords = name.query
pv = name.all_search_pv
uv = name.all_search_uv
is_tag = tag_dict.get(keywords, 0)
servise_num = from_es_get_service_num(keywords)
tag_names_list_week.append((keywords, today_str, 0, servise_num, pv, is_tag))
db = pymysql.connect(host='172.16.30.136', port=3306, user='doris', passwd='o5gbA27hXHHm',
db='doris_prod')
cursor = db.cursor()
delete_sql = "TRUNCATE TABLE strategy_wiki_smr_score"
cursor.execute(delete_sql)
db.commit()
insert_sql = "replace into strategy_wiki_smr_score(keywords, today_str,is_delete, service_num, pv, is_tag) VALUES(%s,%s,%s,%s,%s,%s)"
insert_list = []
for count, item in enumerate(tag_names_list_week):
keywords, today_str, is_delete, service_num, pv, is_tag = item
try:
if len(keywords) >= 200:
continue
insert_sql_tuple = (keywords, today_str, is_delete, service_num, pv, is_tag)
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__":
pass
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