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Monitoring Restoration Progress of a Redshift Cluster

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In AWS Redshift, when restoring a cluster from a snapshot, it's essential to track the restoration progress to ensure timely data availability and system readiness. Monitoring the progress allows users to estimate when the cluster will be operational and identify any potential issues during the restoration process. Checking the restoration progress helps in maintaining transparency and ensuring efficient cluster management in the AWS ecosystem.

import boto3 import time import botocore.exceptions creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def monitor_restore_progress(cluster_id, region): # Initialize the boto3 Redshift client with the specified region redshift = boto3.client('redshift', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=region) # Mark the start time start_time = time.time() # Start an infinite loop to continuously monitor the cluster's status while True: try: # Fetch the current status of the specified Redshift cluster response = redshift.describe_clusters(ClusterIdentifier=cluster_id) # Check if the 'Clusters' list is not empty if not response['Clusters']: print(f"No cluster found with identifier: {cluster_id}") break cluster_status = response['Clusters'][0]['ClusterStatus'] # Check the cluster's status and provide appropriate feedback if cluster_status in ['creating', 'restoring']: print(f"Cluster {cluster_id} status: {cluster_status}. Restoration is in progress...") elif cluster_status == 'available': elapsed_time = time.time() - start_time mins, secs = divmod(elapsed_time, 60) hours, mins = divmod(mins, 60) print(f"Cluster {cluster_id} is now available. Restoration completed successfully in {int(hours)}h {int(mins)}m {int(secs)}s.") break else: print(f"Cluster {cluster_id} status: {cluster_status}.") break # Wait for 30 seconds before checking the status again time.sleep(30) except botocore.exceptions.ClientError as e: print(f"ClientError: {e.response['Error']['Message']}") break except Exception as e: print(f"An unexpected error occurred: {e}") break # Example usage with hardcoded values. You should replace these with actual values received from the previous task. # cluster_identifier = "redshift-cluster-restored" # Replace this with actual cluster ID received from previous task # aws_region = "us-west-2" # Replace this with actual AWS region received from previous task # Begin monitoring the restoration progress of the specified cluster in the specified region if new_cluster_id: cluster_identifier = new_cluster_id monitor_restore_progress(cluster_identifier, aws_region) else: print("No Cluster Id provided for monitoring")
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