"""
对于每天存储文件,文件数量过多,占用空间
采用保存最新的三个文件
"""
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.models import Variable
from sctetl.airflow.utils import dateutils
from datetime import datetime,timedelta
import logging
import os
import shutil
"""
base_dir = "/data"
data_dir = "/gather"
"gather下边存在不同的文件夹"
"/data/gather/test"
"test路径下有以下文件夹"
"20180812、20180813、20180814、20180815、20180816"
"""
base_dir = Variable.get("base_dir")
data_dir = Variable.get("data_dir")
keep = 3
default_arg = {
"owner":"airflow",
"depends_on_past":False,
"start_date":dateutils.get_start_date_local(2018,8,27,18,5),
"email":[''],
"email_on_failure":False,
"email_on_retry":False,
"retries":1,
"retry_delay":timedelta(minutes=5)
}
dag = DAG(dag_id="keep_three_day",default_args=default_arg,schedule_interval=dateutils.get_schedule_interval_local(18,5))
def keep_three_day():
path = os.path.join(base_dir
python 实现保存最新的三份文件,其余删掉
最新推荐文章于 2024-10-15 17:22:05 发布