183 строки
6.6 KiB
Python
183 строки
6.6 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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"""Save Rendered Template Fields"""
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import os
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from typing import Optional
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import sqlalchemy_jsonfield
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from sqlalchemy import Column, String, and_, not_, tuple_
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from sqlalchemy.orm import Session
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from airflow.configuration import conf
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from airflow.models.base import ID_LEN, Base
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from airflow.models.taskinstance import TaskInstance
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from airflow.serialization.helpers import serialize_template_field
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from airflow.settings import json
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from airflow.utils.session import provide_session
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from airflow.utils.sqlalchemy import UtcDateTime
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class RenderedTaskInstanceFields(Base):
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"""Save Rendered Template Fields"""
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__tablename__ = "rendered_task_instance_fields"
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dag_id = Column(String(ID_LEN), primary_key=True)
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task_id = Column(String(ID_LEN), primary_key=True)
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execution_date = Column(UtcDateTime, primary_key=True)
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rendered_fields = Column(sqlalchemy_jsonfield.JSONField(json=json), nullable=False)
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k8s_pod_yaml = Column(sqlalchemy_jsonfield.JSONField(json=json), nullable=True)
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def __init__(self, ti: TaskInstance, render_templates=True):
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self.dag_id = ti.dag_id
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self.task_id = ti.task_id
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self.task = ti.task
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self.execution_date = ti.execution_date
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self.ti = ti
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if render_templates:
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ti.render_templates()
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if os.environ.get("AIRFLOW_IS_K8S_EXECUTOR_POD", None):
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self.k8s_pod_yaml = ti.render_k8s_pod_yaml()
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self.rendered_fields = {
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field: serialize_template_field(getattr(self.task, field)) for field in self.task.template_fields
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}
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def __repr__(self):
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return f"<{self.__class__.__name__}: {self.dag_id}.{self.task_id} {self.execution_date}"
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@classmethod
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@provide_session
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def get_templated_fields(cls, ti: TaskInstance, session: Session = None) -> Optional[dict]:
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"""
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Get templated field for a TaskInstance from the RenderedTaskInstanceFields
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table.
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:param ti: Task Instance
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:param session: SqlAlchemy Session
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:return: Rendered Templated TI field
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"""
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result = (
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session.query(cls.rendered_fields)
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.filter(
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cls.dag_id == ti.dag_id, cls.task_id == ti.task_id, cls.execution_date == ti.execution_date
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)
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.one_or_none()
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)
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if result:
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rendered_fields = result.rendered_fields
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return rendered_fields
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else:
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return None
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@classmethod
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@provide_session
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def get_k8s_pod_yaml(cls, ti: TaskInstance, session: Session = None) -> Optional[dict]:
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"""
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Get rendered Kubernetes Pod Yaml for a TaskInstance from the RenderedTaskInstanceFields
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table.
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:param ti: Task Instance
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:param session: SqlAlchemy Session
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:return: Kubernetes Pod Yaml
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"""
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result = (
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session.query(cls.k8s_pod_yaml)
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.filter(
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cls.dag_id == ti.dag_id, cls.task_id == ti.task_id, cls.execution_date == ti.execution_date
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)
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.one_or_none()
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)
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return result.k8s_pod_yaml if result else None
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@provide_session
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def write(self, session: Session = None):
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"""Write instance to database
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:param session: SqlAlchemy Session
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"""
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session.merge(self)
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@classmethod
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@provide_session
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def delete_old_records(
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cls,
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task_id: str,
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dag_id: str,
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num_to_keep=conf.getint("core", "max_num_rendered_ti_fields_per_task", fallback=0),
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session: Session = None,
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):
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"""
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Keep only Last X (num_to_keep) number of records for a task by deleting others
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:param task_id: Task ID
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:param dag_id: Dag ID
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:param num_to_keep: Number of Records to keep
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:param session: SqlAlchemy Session
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"""
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if num_to_keep <= 0:
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return
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tis_to_keep_query = (
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session.query(cls.dag_id, cls.task_id, cls.execution_date)
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.filter(cls.dag_id == dag_id, cls.task_id == task_id)
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.order_by(cls.execution_date.desc())
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.limit(num_to_keep)
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)
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if session.bind.dialect.name in ["postgresql", "sqlite"]:
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# Fetch Top X records given dag_id & task_id ordered by Execution Date
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subq1 = tis_to_keep_query.subquery('subq1')
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session.query(cls).filter(
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cls.dag_id == dag_id,
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cls.task_id == task_id,
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tuple_(cls.dag_id, cls.task_id, cls.execution_date).notin_(subq1),
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).delete(synchronize_session=False)
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elif session.bind.dialect.name in ["mysql"]:
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# Fetch Top X records given dag_id & task_id ordered by Execution Date
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subq1 = tis_to_keep_query.subquery('subq1')
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# Second Subquery
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# Workaround for MySQL Limitation (https://stackoverflow.com/a/19344141/5691525)
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# Limitation: This version of MySQL does not yet support
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# LIMIT & IN/ALL/ANY/SOME subquery
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subq2 = session.query(subq1.c.dag_id, subq1.c.task_id, subq1.c.execution_date).subquery('subq2')
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session.query(cls).filter(
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cls.dag_id == dag_id,
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cls.task_id == task_id,
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tuple_(cls.dag_id, cls.task_id, cls.execution_date).notin_(subq2),
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).delete(synchronize_session=False)
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else:
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# Fetch Top X records given dag_id & task_id ordered by Execution Date
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tis_to_keep = tis_to_keep_query.all()
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filter_tis = [
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not_(
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and_(
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cls.dag_id == ti.dag_id,
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cls.task_id == ti.task_id,
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cls.execution_date == ti.execution_date,
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)
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)
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for ti in tis_to_keep
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]
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session.query(cls).filter(and_(*filter_tis)).delete(synchronize_session=False)
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