Source code for airflow.providers.jdbc.operators.jdbc
#
# 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 typing import TYPE_CHECKING, Iterable, List, Mapping, Optional, Sequence, Union
from airflow.models import BaseOperator
from airflow.providers.jdbc.hooks.jdbc import JdbcHook
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]def fetch_all_handler(cursor):
"""Handler for DbApiHook.run() to return results"""
return cursor.fetchall()
[docs]class JdbcOperator(BaseOperator):
"""
Executes sql code in a database using jdbc driver.
Requires jaydebeapi.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:JdbcOperator`
: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 jdbc_conn_id: reference to a predefined database
:param autocommit: if True, each command is automatically committed.
(default value: False)
:param parameters: (optional) the parameters to render the SQL query with.
"""
[docs] template_fields: Sequence[str] = ('sql',)
[docs] template_ext: Sequence[str] = ('.sql',)
[docs] template_fields_renderers = {'sql': 'sql'}
def __init__(
self,
*,
sql: Union[str, List[str]],
jdbc_conn_id: str = 'jdbc_default',
autocommit: bool = False,
parameters: Optional[Union[Mapping, Iterable]] = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.parameters = parameters
self.sql = sql
self.jdbc_conn_id = jdbc_conn_id
self.autocommit = autocommit
self.hook = None
[docs] def execute(self, context: 'Context') -> None:
self.log.info('Executing: %s', self.sql)
hook = JdbcHook(jdbc_conn_id=self.jdbc_conn_id)
return hook.run(self.sql, self.autocommit, parameters=self.parameters, handler=fetch_all_handler)