1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
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
from pyspark.sql.types import StringType
# 分组排序的udf窗口函数
from pyspark.sql.window import Window
from pyspark.sql import functions as F
class AsinState(Templates):
def __init__(self):
super().__init__()
self.site_name = "us"
self.db_save = f"tmp_asin_state_copy"
self.spark = self.create_spark_object(app_name=f"{self.db_save}: {self.site_name}")
self.df_save = self.spark.sql(f"select 1+1;")
self.df = self.spark.sql(f"select 1+1;")
self.partitions_by = ['site_name']
self.reset_partitions(partitions_num=1)
def read_data(self):
sql = f"""
select
asin,
state,
updated_at,
flag,
site_name
from
tmp_asin_state
where
site_name = 'us';
"""
self.df = self.spark.sql(sqlQuery=sql).cache()
def handle_data(self):
df_window = Window.partitionBy(["asin"]).orderBy(self.df.flag.asc(), self.df.updated_at.desc())
self.df = self.df.withColumn("rk", F.row_number().over(window=df_window))
self.df_save = self.df.filter("rk = 1")
self.df_save = self.df_save.drop("flag").drop("rk").drop("updated_at")
if __name__ == "__main__":
handle_obj = AsinState()
handle_obj.run()