Source code for airflow.providers.apache.cassandra.sensors.record

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"""
This module contains sensor that check the existence
of a record in a Cassandra cluster.
"""

from typing import TYPE_CHECKING, Any, Dict, 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


[docs]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 """
[docs] 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
[docs] 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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