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] """
[docs] ui_color = '#ededed'
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

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