airflow record 源码
airflow record 代码
文件路径：/airflow/providers/apache/cassandra/sensors/record.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 record 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 CassandraRecordSensor(BaseSensorOperator):
"""
Checks for the existence of a record in a Cassandra cluster.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CassandraRecordSensor`
For example, if you want to wait for a record that has values 'v1' and 'v2' for each
primary keys 'p1' and 'p2' to be populated in keyspace 'k' and table 't',
instantiate it as follows:
>>> cassandra_sensor = CassandraRecordSensor(table="k.t",
... keys={"p1": "v1", "p2": "v2"},
... cassandra_conn_id="cassandra_default",
... task_id="cassandra_sensor")
:param table: Target Cassandra table.
Use dot notation to target a specific keyspace.
:param keys: The keys and their values to be monitored
:param cassandra_conn_id: The connection ID to use
when connecting to Cassandra cluster
"""
template_fields: Sequence[str] = ('table', 'keys')
def __init__(
self,
*,
keys: dict[str, str],
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
self.keys = keys
def poke(self, context: Context) -> bool:
self.log.info('Sensor check existence of record: %s', self.keys)
hook = CassandraHook(self.cassandra_conn_id)
return hook.record_exists(self.table, self.keys)
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