In this article, we will see how a user can stop the scheduler of a crawler present in an AWS Glue Data Catalog.
Example
Stop the scheduler of a crawler available in an AWS Glue Data Catalog.
Problem Statement: Use boto3 library in Python to stop the scheduler of a crawler.
Approach/Algorithm to solve this problem
Step 1: Import boto3 and botocore exceptions to handle exceptions.
Step 2: crawler_name is the required parameter in this function.
Step 3: Create an AWS session using boto3 lib. Make sure region_name is mentioned in the default profile. If it is not mentioned, then explicitly pass the region_name while creating the session.
Step 4: Create an AWS client for glue.
Step 5: Now use the stop_crawler_schedule function and pass the parameter crawler_name as CrawlerName.
Step 6: It returns the response metadata and sets the schedule state of the crawler as OT_SCHEDULED. If the status of crawler is running, then it does not stop the crawler.
Step 7: Handle the generic exception if something went wrong while stopping the scheduler of a crawler.
Example Code
The following code stops the scheduler of a crawler −
import boto3
from botocore.exceptions import ClientError
def stop_scheduler_of_a_crawler(crawler_name)
session = boto3.session.Session()
glue_client = session.client('glue')
try:
response = glue_client.stop_crawler_schedule(CrawlerName=crawler_name)
return response
except ClientError as e:
raise Exception("boto3 client error in stop_scheduler_of_a_crawler: " + e.__str__())
except Exception as e:
raise Exception("Unexpected error in stop_scheduler_of_a_crawler: " + e.__str__())
print(stop_scheduler_of_a_crawler("Data Dimension"))Output
{'ResponseMetadata': {'RequestId': '73e50130-*****************8e', 'HTTPStatusCode': 200, 'HTTPHeaders': {'date': 'Sun, 28 Mar 2021 07:26:55 GMT', 'content-type': 'application/x-amz-json-1.1', 'content-length': '2', 'connection': 'keep-alive', 'x-amzn-requestid': '73e50130-***************8e'}, 'RetryAttempts': 0}}