incubator-airflow/airflow/models/renderedtifields.py

183 строки
6.6 KiB
Python

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