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from __future__ import annotations
from datetime import timedelta
from typing import TYPE_CHECKING, Any, Sequence
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.glue_catalog import GlueCatalogHook
from airflow.providers.amazon.aws.sensors.base_aws import AwsBaseSensor
from airflow.providers.amazon.aws.triggers.glue import GlueCatalogPartitionTrigger
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class GlueCatalogPartitionSensor(AwsBaseSensor[GlueCatalogHook]):
"""
Waits for a partition to show up in AWS Glue Catalog.
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:GlueCatalogPartitionSensor`
:param table_name: The name of the table to wait for, supports the dot
notation (my_database.my_table)
:param expression: The partition clause to wait for. This is passed as
is to the AWS Glue Catalog API's get_partitions function,
and supports SQL like notation as in ``ds='2015-01-01'
AND type='value'`` and comparison operators as in ``"ds>=2015-01-01"``.
See https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-catalog-partitions.html
#aws-glue-api-catalog-partitions-GetPartitions
:param database_name: The name of the catalog database where the partitions reside.
:param poke_interval: Time in seconds that the job should wait in
between each tries
:param deferrable: If true, then the sensor will wait asynchronously for the partition to
show up in the AWS Glue Catalog.
(default: False, but can be overridden in config file by setting default_deferrable to True)
:param aws_conn_id: The Airflow connection used for AWS credentials.
If this is ``None`` or empty then the default boto3 behaviour is used. If
running Airflow in a distributed manner and aws_conn_id is None or
empty, then default boto3 configuration would be used (and must be
maintained on each worker node).
:param region_name: AWS region_name. If not specified then the default boto3 behaviour is used.
:param verify: Whether or not to verify SSL certificates. See:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html
:param botocore_config: Configuration dictionary (key-values) for botocore client. See:
https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html
"""
[docs] aws_hook_class = GlueCatalogHook
[docs] template_fields: Sequence[str] = aws_template_fields(
"database_name",
"table_name",
"expression",
)
def __init__(
self,
*,
table_name: str,
expression: str = "ds='{{ ds }}'",
database_name: str = "default",
poke_interval: int = 60 * 3,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
**kwargs,
):
super().__init__(**kwargs)
self.table_name = table_name
self.expression = expression
self.database_name = database_name
self.poke_interval = poke_interval
self.deferrable = deferrable
[docs] def execute(self, context: Context) -> Any:
if self.deferrable:
self.defer(
trigger=GlueCatalogPartitionTrigger(
database_name=self.database_name,
table_name=self.table_name,
expression=self.expression,
aws_conn_id=self.aws_conn_id,
region_name=self.region_name,
waiter_delay=int(self.poke_interval),
verify=self.verify,
botocore_config=self.botocore_config,
),
method_name="execute_complete",
timeout=timedelta(seconds=self.timeout),
)
else:
super().execute(context=context)
[docs] def poke(self, context: Context):
"""Check for existence of the partition in the AWS Glue Catalog table."""
if "." in self.table_name:
self.database_name, self.table_name = self.table_name.split(".")
self.log.info(
"Poking for table %s. %s, expression %s", self.database_name, self.table_name, self.expression
)
return self.hook.check_for_partition(self.database_name, self.table_name, self.expression)
[docs] def execute_complete(self, context: Context, event: dict | None = None) -> None:
event = validate_execute_complete_event(event)
if event["status"] != "success":
raise AirflowException(f"Trigger error: event is {event}")
self.log.info("Partition exists in the Glue Catalog")