Source code for airflow.providers.amazon.aws.operators.glue_crawler
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from __future__ import annotations
from functools import cached_property
from typing import TYPE_CHECKING, Any, Sequence
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.triggers.glue_crawler import GlueCrawlerCompleteTrigger
from airflow.providers.amazon.aws.utils import validate_execute_complete_event
if TYPE_CHECKING:
from airflow.utils.context import Context
from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.glue_crawler import GlueCrawlerHook
[docs]class GlueCrawlerOperator(BaseOperator):
"""
Creates, updates and triggers an AWS Glue Crawler.
AWS Glue Crawler is a serverless service that manages a catalog of
metadata tables that contain the inferred schema, format and data
types of data stores within the AWS cloud.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:GlueCrawlerOperator`
:param config: Configurations for the AWS Glue crawler
: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 poll_interval: Time (in seconds) to wait between two consecutive calls to check crawler status
:param wait_for_completion: Whether to wait for crawl execution completion. (default: True)
:param deferrable: If True, the operator will wait asynchronously for the crawl to complete.
This implies waiting for completion. This mode requires aiobotocore module to be installed.
(default: False)
"""
[docs] template_fields: Sequence[str] = ("config",)
def __init__(
self,
config,
aws_conn_id="aws_default",
region_name: str | None = None,
poll_interval: int = 5,
wait_for_completion: bool = True,
deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
**kwargs,
):
super().__init__(**kwargs)
self.aws_conn_id = aws_conn_id
self.poll_interval = poll_interval
self.wait_for_completion = wait_for_completion
self.deferrable = deferrable
self.region_name = region_name
self.config = config
@cached_property
[docs] def hook(self) -> GlueCrawlerHook:
"""Create and return a GlueCrawlerHook."""
return GlueCrawlerHook(self.aws_conn_id, region_name=self.region_name)
[docs] def execute(self, context: Context):
"""
Execute AWS Glue Crawler from Airflow.
:return: the name of the current glue crawler.
"""
crawler_name = self.config["Name"]
if self.hook.has_crawler(crawler_name):
self.hook.update_crawler(**self.config)
else:
self.hook.create_crawler(**self.config)
self.log.info("Triggering AWS Glue Crawler")
self.hook.start_crawler(crawler_name)
if self.deferrable:
self.defer(
trigger=GlueCrawlerCompleteTrigger(
crawler_name=crawler_name,
waiter_delay=self.poll_interval,
aws_conn_id=self.aws_conn_id,
),
method_name="execute_complete",
)
elif self.wait_for_completion:
self.log.info("Waiting for AWS Glue Crawler")
self.hook.wait_for_crawler_completion(crawler_name=crawler_name, poll_interval=self.poll_interval)
return crawler_name
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> str:
event = validate_execute_complete_event(event)
if event["status"] != "success":
raise AirflowException(f"Error in glue crawl: {event}")
return self.config["Name"]