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"""
author: 汪瑞(wangrui)
description: 基于ods_asin_variat进行数据清洗
table_read_name: ods_asin_variat
table_save_name: dwd_asin_variat
table_save_level: dwd
version: 3.0
created_date: 2023-01-03
updated_date: 2023-01-03
"""
import os
import sys
from pyspark.storagelevel import StorageLevel
sys.path.append(os.path.dirname(sys.path[0])) # 上级目录
from utils.templates import Templates
# from ..utils.templates import Templates
#from AmazonSpider.pyspark_job.utils.templates import Templates
# 分组排序的udf窗口函数
from pyspark.sql.window import Window
from pyspark.sql import functions as F
from pyspark.sql.types import StringType, IntegerType
class DwdStAsinInfo(Templates):
def __init__(self, site_name="us"):
super().__init__()
self.site_name = site_name
self.db_save = f"dwd_asin_variat"
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_asin_variat = self.spark.sql(f"select 1+1;")
self.week_counts = 1 if self.date_type == 'week' else len(self.year_week_tuple)
self.partitions_by = ['site_name']
self.reset_partitions(20)
if self.date_type in ["week"]:
self.reset_partitions(100)
elif self.date_type in ["month", "4_week"]:
self.reset_partitions(350)
elif self.date_type in ["quarter"]:
self.reset_partitions(600)
def read_data(self):
print("1.1 读取ods_asin_variat表")
sql = f"select " \
f"asin, " \
f"parent_asin, " \
f"color as asin_color, " \
f"size as asin_size, " \
f"style as asin_style, " \
f"created_time, " \
f"updated_time " \
f"from dim_asin_variation_info where site_name='{self.site_name}';"
self.df_asin_variat = self.spark.sql(sqlQuery=sql).cache()
self.df_asin_variat.show(10, truncate=False)
def handle_variat(self):
self.df_asin_variat = self.df_asin_variat.select("asin", "parent_asin", "asin_color", "asin_size", "asin_style", "created_time", "updated_time").dropDuplicates()
variat_window = Window.partitionBy(["asin"]).orderBy(
self.df_asin_variat.updated_time.desc_nulls_last()
)
self.df_asin_variat = self.df_asin_variat.withColumn("variat_rank",
F.row_number().over(window=variat_window))
self.df_asin_variat = self.df_asin_variat.filter("variat_rank=1")
self.df_save= self.df_asin_variat.drop("variat_rank")
self.df_save.show(10, truncate=False)
def handle_data(self):
self.handle_variat()
self.df_save = self.df_save.withColumn("site_name", F.lit(self.site_name))
if __name__ == '__main__':
site_name = sys.argv[1] # 参数1：站点
handle_obj = DwdStAsinInfo(site_name=site_name)
handle_obj.run()