airflow postgres 源码
airflow postgres 代码
文件路径:/airflow/providers/postgres/operators/postgres.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 warnings
from typing import Mapping, Sequence
from psycopg2.sql import SQL, Identifier
from airflow.providers.common.sql.operators.sql import SQLExecuteQueryOperator
from airflow.www import utils as wwwutils
class PostgresOperator(SQLExecuteQueryOperator):
"""
Executes sql code in a specific Postgres database
:param sql: the SQL code to be executed as a single string, or
a list of str (sql statements), or a reference to a template file.
Template references are recognized by str ending in '.sql'
:param postgres_conn_id: The :ref:`postgres conn id <howto/connection:postgres>`
reference to a specific postgres database.
:param autocommit: if True, each command is automatically committed.
(default value: False)
:param parameters: (optional) the parameters to render the SQL query with.
:param database: name of database which overwrite defined one in connection
"""
template_fields: Sequence[str] = ('sql',)
# TODO: Remove renderer check when the provider has an Airflow 2.3+ requirement.
template_fields_renderers = {
'sql': 'postgresql' if 'postgresql' in wwwutils.get_attr_renderer() else 'sql'
}
template_ext: Sequence[str] = ('.sql',)
ui_color = '#ededed'
def __init__(
self,
*,
postgres_conn_id: str = 'postgres_default',
database: str | None = None,
runtime_parameters: Mapping | None = None,
**kwargs,
) -> None:
if database is not None:
hook_params = kwargs.pop('hook_params', {})
kwargs['hook_params'] = {'schema': database, **hook_params}
if runtime_parameters:
sql = kwargs.pop('sql')
parameters = kwargs.pop('parameters', {})
final_sql = []
sql_param = {}
for param in runtime_parameters:
set_param_sql = f"SET {{}} TO %({param})s;"
dynamic_sql = SQL(set_param_sql).format(Identifier(f"{param}"))
final_sql.append(dynamic_sql)
for param, val in runtime_parameters.items():
sql_param.update({f"{param}": f"{val}"})
if parameters:
sql_param.update(parameters)
if isinstance(sql, str):
final_sql.append(SQL(sql))
else:
final_sql.extend(list(map(SQL, sql)))
kwargs['sql'] = final_sql
kwargs['parameters'] = sql_param
super().__init__(conn_id=postgres_conn_id, **kwargs)
warnings.warn(
"""This class is deprecated.
Please use `airflow.providers.common.sql.operators.sql.SQLExecuteQueryOperator`.
Also, you can provide `hook_params={'schema': <database>}`.""",
DeprecationWarning,
stacklevel=2,
)
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