airflow dagpickle 源码
airflow dagpickle 代码
文件路径：/airflow/models/dagpickle.py
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
import dill
from sqlalchemy import BigInteger, Column, Integer, PickleType
from airflow.models.base import Base
from airflow.utils import timezone
from airflow.utils.sqlalchemy import UtcDateTime
class DagPickle(Base):
"""
Dags can originate from different places (user repos, main repo, ...)
and also get executed in different places (different executors). This
object represents a version of a DAG and becomes a source of truth for
a BackfillJob execution. A pickle is a native python serialized object,
and in this case gets stored in the database for the duration of the job.
The executors pick up the DagPickle id and read the dag definition from
the database.
"""
id = Column(Integer, primary_key=True)
pickle = Column(PickleType(pickler=dill))
created_dttm = Column(UtcDateTime, default=timezone.utcnow)
pickle_hash = Column(BigInteger)
__tablename__ = "dag_pickle"
def __init__(self, dag):
self.dag_id = dag.dag_id
if hasattr(dag, 'template_env'):
dag.template_env = None
self.pickle_hash = hash(dag)
self.pickle = dag
相关信息
相关文章
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦