Source code for airflow.providers.amazon.aws.operators.glue_crawler
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try:
from functools import cached_property
except ImportError:
from cached_property import cached_property
from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.glue_crawler import AwsGlueCrawlerHook
[docs]class AwsGlueCrawlerOperator(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.
:param config: Configurations for the AWS Glue crawler
:type config: dict
:param aws_conn_id: aws connection to use
:type aws_conn_id: Optional[str]
:param poll_interval: Time (in seconds) to wait between two consecutive calls to check crawler status
:type poll_interval: Optional[int]
"""
def __init__(
self,
config,
aws_conn_id='aws_default',
poll_interval: int = 5,
**kwargs,
):
super().__init__(**kwargs)
self.aws_conn_id = aws_conn_id
self.poll_interval = poll_interval
self.config = config
@cached_property
[docs] def hook(self) -> AwsGlueCrawlerHook:
"""Create and return an AwsGlueCrawlerHook."""
return AwsGlueCrawlerHook(self.aws_conn_id)
[docs] def execute(self, context):
"""
Executes 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)
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