52 строки
1.9 KiB
Python
52 строки
1.9 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import dill
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from sqlalchemy import Column, Integer, PickleType, Text
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from airflow.models.base import Base
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from airflow.utils import timezone
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from airflow.utils.sqlalchemy import UtcDateTime
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class DagPickle(Base):
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"""
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Dags can originate from different places (user repos, master repo, ...)
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and also get executed in different places (different executors). This
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object represents a version of a DAG and becomes a source of truth for
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a BackfillJob execution. A pickle is a native python serialized object,
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and in this case gets stored in the database for the duration of the job.
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The executors pick up the DagPickle id and read the dag definition from
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the database.
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"""
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id = Column(Integer, primary_key=True)
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pickle = Column(PickleType(pickler=dill))
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created_dttm = Column(UtcDateTime, default=timezone.utcnow)
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pickle_hash = Column(Text)
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__tablename__ = "dag_pickle"
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def __init__(self, dag):
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self.dag_id = dag.dag_id
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if hasattr(dag, 'template_env'):
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dag.template_env = None
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self.pickle_hash = hash(dag)
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self.pickle = dag
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