""" 计算买家搜索词 """ import os import sys sys.path.append(os.path.dirname(sys.path[0])) # 上级目录 from utils.templates import Templates from utils.spark_util import SparkUtil from pyspark.sql.window import Window from pyspark.sql import functions as F from utils.common_util import CommonUtil from utils.DorisHelper import DorisHelper class DwdBuyerSt(Templates): def __init__(self, site_name='us', date_type="month", date_info='2022-1'): super().__init__() self.site_name = site_name self.date_type = date_type self.date_info = date_info self.db_save = f'dwd_buyer_st' self.start_day = '' self.end_day = '' self.spark = self.create_spark_object( app_name=f"{self.db_save}: {self.site_name}, {self.date_type}, {self.date_info}") self.reset_partitions(partitions_num=10) self.partitions_by = ['site_name', 'date_type', 'date_info'] self.get_date_info() self.df_search_for_buyer_term = self.spark.sql(f"select 1+1;") self.df_positioning_for_buyer_term = self.spark.sql(f"select 1+1;") self.site_dict = { "us": 3, "uk": 4, "de": 6, "fr": 1, "es": 7, "it": 8 } def get_date_info(self): df_date = self.spark.sql(f"select * from dim_date_20_to_30;") df = df_date.toPandas() if self.date_type == 'week': df_week_start_day = df.loc[(df.year_week == f'{self.date_info}') & (df.week_day == 1)] self.start_day = str(list(df_week_start_day.date)[0]).replace("-", "") df_week_end_day = df.loc[(df.year_week == f'{self.date_info}') & (df.week_day == 7)] self.end_day = str(list(df_week_end_day.date)[0]).replace("-", "") def read_data(self): # 1.读取搜索词买家词信息 sql = f""" SELECT replace(replace(replace(customerSearchText, '\\t', ' '), '\\n', ' '), '\\001', ' ') as search_term, attributedSales7d as sales, attributedConversions7d as orders, clicks, startDate as report_date from advertising_manager.customer_search_report where site={self.site_dict[f'{self.site_name}']} and LENGTH(customerSearchText) <100 and startDate >= '{self.start_day}' and startDate <= '{self.end_day}' and customerSearchText is not null and trim(customerSearchText) != '' """ print("sql = " + sql) self.df_search_for_buyer_term = DorisHelper.spark_import_with_sql(session=self.spark, query=sql, use_type='adv') # 2.读取定位买家词 sql = f""" SELECT replace(replace(replace(`query`, '\\t', ' '), '\\n', ' '), '\\001', ' ') as search_term, attributedSales7d as sales, attributedConversions7d as orders, clicks, startDate as report_date from advertising_manager.customer_search_target_report where site={self.site_dict[f'{self.site_name}']} and targetingExpression in('close-match','loose-match') and LENGTH(query) >10 and LENGTH(query) < 100 and startDate >= '{self.start_day}' and startDate <= '{self.end_day}' and `query` is not null and trim(`query`) != '' """ print("sql = " + sql) self.df_positioning_for_buyer_term = DorisHelper.spark_import_with_sql(session=self.spark, query=sql, use_type='adv') def handle_data(self): df_all_search_term = self.df_search_for_buyer_term.unionByName( self.df_positioning_for_buyer_term) window = Window.partitionBy(['search_term', 'report_date']).orderBy( df_all_search_term.orders.desc() ) df_all_search_term = df_all_search_term.withColumn("st_rank", F.row_number().over(window=window)) self.df_save = df_all_search_term.filter("st_rank = 1") self.df_save = self.df_save.select("search_term", F.col("sales").cast("double").alias("sales"), "orders", "clicks", "report_date") self.df_save = self.df_save.withColumn("created_time", F.date_format(F.current_timestamp(), 'yyyy-MM-dd HH:mm:SS')). \ withColumn("updated_time", F.date_format(F.current_timestamp(), 'yyyy-MM-dd HH:mm:SS')) self.df_save = self.df_save.withColumn("string_field1", F.lit("null")) self.df_save = self.df_save.withColumn("string_field2", F.lit("null")) self.df_save = self.df_save.withColumn("string_field3", F.lit("null")) self.df_save = self.df_save.withColumn("int_field1", F.lit(0)) self.df_save = self.df_save.withColumn("int_field2", F.lit(0)) self.df_save = self.df_save.withColumn("int_field3", F.lit(0)) self.df_save = self.df_save.withColumn("site_name", F.lit(self.site_name)) self.df_save = self.df_save.withColumn("date_type", F.lit(self.date_type)) self.df_save = self.df_save.withColumn("date_info", F.lit(self.date_info)) if __name__ == '__main__': site_name = sys.argv[1] # 参数1:站点 date_type = sys.argv[2] # 参数2:类型:week/4_week/month/quarter date_info = sys.argv[3] # 参数3:年-周/年-月/年-季, 比如: 2022-1 handle_obj = DwdBuyerSt(site_name=site_name, date_type=date_type, date_info=date_info) handle_obj.run() cmd = f""" set mapred.output.compress=true; set hive.exec.compress.output=true; set mapred.output.compression.codec=com.hadoop.compression.lzo.LzopCodec; insert overwrite table big_data_selection.dwd_buyer_st partition(site_name="{site_name}", date_type="{date_type}", date_info="{date_info}") select search_term, sales, orders, clicks, report_date, created_time, updated_time, string_field1, string_field2, string_field3, int_field1, int_field2, int_field3 from big_data_selection.dwd_buyer_st where site_name="{site_name}" and date_type="{date_type}" and date_info="{date_info}" and report_date is not null; msck repair table big_data_selection.dwd_buyer_st; """ print("cmd=", cmd) CommonUtil.hive_cmd_exec(cmd)