import os import sys sys.path.append(os.path.dirname(sys.path[0])) # 上级目录 from utils.templates import Templates # from ..utils.templates import Templates from pyspark.sql import functions as F class DwdStInfoDay(Templates): def __init__(self, site_name='us', date_type="month", date_info='2022-1'): super(DwdStInfoDay, self).__init__() self.site_name = site_name self.date_type = date_type self.date_info = date_info self.db_save = f'dwd_st_info_day_word' self.spark = self.create_spark_object(app_name=f"{self.db_save}: {self.site_name}, {self.date_info}") self.df_date = self.get_year_week_tuple() self.df_save = self.spark.sql(f"select 1+1;") self.df_brand_day = self.spark.sql(f"select 1+1;") self.df_rank_repeat = self.spark.sql(f"select 1+1;") self.partitions_by = ['site_name'] self.reset_partitions(partitions_num=5) def read_data(self): sql = f"select year, month, search_term, rank, report_date from ods_brand_analytics_day where site_name='{self.site_name}' " \ f"and dm in ('2021-9', '2021-10', '2021-11', '2021-12', '2022-1', '2022-2', '2022-3', '2022-4', '2022-5', '2022-6', '2022-7', '2022-8')" self.df_brand_day = self.spark.sql(sqlQuery=sql) self.df_brand_day = self.df_brand_day.withColumn("st_word", F.explode(F.split(self.df_brand_day.search_term, " "))) print(self.df_brand_day.count()) quit() self.df_brand_day = self.df_brand_day.groupby(['st_word']).count() self.df_brand_day = self.df_brand_day.withColumnRenamed("count", "st_word_counts") self.df_brand_day = self.df_brand_day.orderBy('st_word_counts', ascending=False) self.df_brand_day = self.df_brand_day.withColumn('site_name', F.lit(self.site_name)) self.df_brand_day.show(20, truncate=False) self.df_save = self.df_brand_day if __name__ == '__main__': handle_obj = DwdStInfoDay() handle_obj.run()