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from __future__ import annotations
from datetime import timedelta
from functools import cached_property
from typing import TYPE_CHECKING, Any, Sequence
from deprecated import deprecated
from airflow.configuration import conf
from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning, AirflowSkipException
from airflow.providers.amazon.aws.hooks.glue_catalog import GlueCatalogHook
from airflow.providers.amazon.aws.triggers.glue import GlueCatalogPartitionTrigger
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class GlueCatalogPartitionSensor(BaseSensorOperator):
"""
Waits for a partition to show up in AWS Glue Catalog.
: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 aws_conn_id: ID of the Airflow connection where
credentials and extra configuration are stored
:param region_name: Optional aws region name (example: us-east-1). Uses region from connection
if not specified.
: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)
"""
[docs] template_fields: Sequence[str] = (
"database_name",
"table_name",
"expression",
)
def __init__(
self,
*,
table_name: str,
expression: str = "ds='{{ ds }}'",
aws_conn_id: str | None = "aws_default",
region_name: str | None = None,
database_name: str = "default",
poke_interval: int = 60 * 3,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
**kwargs,
):
super().__init__(poke_interval=poke_interval, **kwargs)
self.aws_conn_id = aws_conn_id
self.region_name = region_name
self.table_name = table_name
self.expression = expression
self.database_name = database_name
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,
waiter_delay=int(self.poke_interval),
),
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":
# TODO: remove this if block when min_airflow_version is set to higher than 2.7.1
message = f"Trigger error: event is {event}"
if self.soft_fail:
raise AirflowSkipException(message)
raise AirflowException(message)
self.log.info("Partition exists in the Glue Catalog")
@deprecated(reason="use `hook` property instead.", category=AirflowProviderDeprecationWarning)
[docs] def get_hook(self) -> GlueCatalogHook:
"""Get the GlueCatalogHook."""
return self.hook
@cached_property
[docs] def hook(self) -> GlueCatalogHook:
return GlueCatalogHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)