How can I ensure that the glue crawl mechanism collects and updates information effectively?
I am currently engaged in a particular task which is related to the Development of a web-based crawling tool for an e-commerce platform. How can I ensure that the glue crawl mechanism collects and updates the product information effectively from various resources without causing excessive load on the server?
In the context of AWS, you can ensure the effective implementation of a glue crawl mechanism for the collection and updation of product information from various sources without causing excessive load on the servers by using the following approach:-
Here is a simplified Python programming coding given which would show how you can implement the concept:-
Import boto3
Def run_glue_crawler(crawler_name):
“””
Function to run a Glue crawler
Parameters:
Crawler_name (str): The name of the Glue crawler to run
“””
Client = boto3.client(‘glue’)
Try:
Response = client.start_crawler(
Name=crawler_name
)
Print(f”Started Glue crawler ‘{crawler_name}’ successfully.”)
Except Exception as e:
Print(f”Failed to start Glue crawler ‘{crawler_name}’: {str€}”)
If __name__ == “__main__”:
# Run the Glue crawler to collect and update product information
Crawler_name = “ecommerce_crawler”
Run_glue_crawler(crawler_name)