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import os
import sys
sys.path.append(os.path.dirname(sys.path[0])) # 上级目录
from utils.templates import Templates
from pyspark.sql import functions as F
class DwtMerchantwordsKeywordDetail(Templates):
def __init__(self, site_name='us'):
super().__init__()
self.site_name = site_name
self.db_save = f'dwt_merchantwords_keyword_detail'
self.spark = self.create_spark_object(
app_name=f"{self.db_save}: {self.site_name}")
self.reset_partitions(partitions_num=10)
self.partitions_by = ['site_name']
self.df_merchantwords = self.spark.sql(f"select 1+1;")
self.df_keyword = self.spark.sql(f"select 1+1;")
self.df_save = self.spark.sql(f"select 1+1;")
def read_data(self):
sql1 = f"""
select
keyword,
volume,
avg_3m,
avg_12m,
depth,
results_count,
sponsored_ads_count,
page_1_reviews,
appearance,
last_seen,
update_time,
source_type,
api_json,
lang
from
dwt_merchantwords_st_detail
where
site_name = '{self.site_name}';
"""
print(sql1)
self.df_merchantwords = self.spark.sql(sqlQuery=sql1).cache()
sql2 = f"""
select
keywordText as keyword,
keywordText,
matchType
from
ods_adv_keyword
where
site_name = '{self.site_name}'
group by keywordText, matchType;
"""
print(sql2)
self.df_keyword = self.spark.sql(sqlQuery=sql2).cache()
def handle_data(self):
self.df_save = self.df_merchantwords.join(self.df_keyword, 'keyword', 'inner')
print(self.site_name)
# 填充分区字段
self.df_save = self.df_save.withColumn("site_name", F.lit(self.site_name))
self.df_save.show(10)
if __name__ == '__main__':
site_name = sys.argv[1]
handle_obj = DwtMerchantwordsKeywordDetail(site_name=site_name)
handle_obj.run()