airflow table 源码
airflow table 代码
文件路径：/airflow/providers/apache/cassandra/sensors/table.py
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# to you under the Apache License, Version 2.0 (the
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#
# http://www.apache.org/licenses/LICENSE-2.0
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"""
This module contains sensor that check the existence
of a table in a Cassandra cluster.
"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Sequence
from airflow.providers.apache.cassandra.hooks.cassandra import CassandraHook
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
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.
:param cassandra_conn_id: The connection ID to use
when connecting to Cassandra cluster
"""
template_fields: Sequence[str] = ('table',)
def __init__(
self,
*,
table: str,
cassandra_conn_id: str = CassandraHook.default_conn_name,
**kwargs: Any,
) -> None:
super().__init__(**kwargs)
self.cassandra_conn_id = cassandra_conn_id
self.table = table
def poke(self, context: Context) -> bool:
self.log.info('Sensor check existence of table: %s', self.table)
hook = CassandraHook(self.cassandra_conn_id)
return hook.table_exists(self.table)
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