Source code for airflow.providers.apache.cassandra.sensors.table
#
# 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.
"""
This module contains sensor that check the existence
of a table in a Cassandra cluster.
"""
from typing import Any, Dict
from airflow.providers.apache.cassandra.hooks.cassandra import CassandraHook
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.decorators import apply_defaults
[docs]class CassandraTableSensor(BaseSensorOperator):
"""
Checks for the existence of a table in a Cassandra cluster.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CassandraTableSensor`
For example, if you want to wait for a table called 't' to be created
in a keyspace 'k', instantiate it as follows:
>>> cassandra_sensor = CassandraTableSensor(table="k.t",
... cassandra_conn_id="cassandra_default",
... task_id="cassandra_sensor")
:param table: Target Cassandra table.
Use dot notation to target a specific keyspace.
:type table: str
:param cassandra_conn_id: The connection ID to use
when connecting to Cassandra cluster
:type cassandra_conn_id: str
"""
[docs] template_fields = ('table',)
@apply_defaults
def __init__(self, *, table: str, cassandra_conn_id: str, **kwargs: Any) -> None:
super().__init__(**kwargs)
self.cassandra_conn_id = cassandra_conn_id
self.table = table
[docs] def poke(self, context: Dict[Any, Any]) -> bool:
self.log.info('Sensor check existence of table: %s', self.table)
hook = CassandraHook(self.cassandra_conn_id)
return hook.table_exists(self.table)