Restoring an AWS Redshift Cluster from a Snapshot

import boto3 creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def list_redshift_snapshots(region=None): snapshot_identifiers = {} try: # Get list of all AWS regions ec2_client = boto3.client('ec2',aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name='us-east-1') regions_to_check = [region] if region else [region['RegionName'] for region in ec2_client.describe_regions()['Regions']] except Exception as e: print(f"Error listing AWS regions: {e}") regions_to_check = [region] if region else [] for region in regions_to_check: try: # Initialize the boto3 Redshift client for specified region redshift = boto3.client('redshift', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=region) # Fetch snapshots from Redshift in the current region response = redshift.describe_cluster_snapshots() # Add snapshot identifiers to the dictionary with region as the key for snapshot in response['Snapshots']: snapshot_identifiers.setdefault(region, []).append(snapshot['SnapshotIdentifier']) # Handle exceptions specific to Redshift operations except redshift.exceptions.ClusterSnapshotNotFoundFault: print(f"No Redshift snapshots found in region {region} for the specified criteria.") except Exception as e: print(f"An error occurred in region {region}: {e}") return snapshot_identifiers # Set region to None for all regions, or specify a valid AWS region string for a specific region # target_region = None # Fetch and display available snapshots snapshots = list_redshift_snapshots(target_region) if snapshots: print("Available Redshift Snapshots:") for region, snap_list in snapshots.items(): print(f"In region {region}:") for snap in snap_list: print(f" - {snap}") else: print("No Redshift snapshots found.") context.proceed = False

import boto3 import botocore.exceptions creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def restore_redshift_from_snapshot(snapshot_identifier, cluster_identifier, node_type, number_of_nodes, region, availability_zone=None, maintenance_track_name=None): """ Restore a Redshift cluster from a given snapshot. Parameters: - snapshot_identifier (str): Identifier for the snapshot to restore from. - cluster_identifier (str): Identifier for the new cluster. - node_type (str): Node type for the new cluster. - number_of_nodes (int): Number of nodes for the new cluster. - region (str): AWS region to restore the cluster. - availability_zone (str, optional): The availability zone to restore to. If not specified, a random zone is chosen. - maintenance_track_name (str, optional): Maintenance track for the new cluster. Returns: - dict: Response from the Redshift restore operation or None if the restore operation fails. """ # Initialize the 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) # Define the restore parameters restore_params = { 'SnapshotIdentifier': snapshot_identifier, 'ClusterIdentifier': cluster_identifier, 'NodeType': node_type, 'NumberOfNodes': number_of_nodes } # Optionally set the availability zone if provided if availability_zone: restore_params['AvailabilityZone'] = availability_zone # Optionally set the maintenance track name if provided if maintenance_track_name: restore_params['MaintenanceTrackName'] = maintenance_track_name try: # Initiate the restore operation response = redshift.restore_from_cluster_snapshot(**restore_params) return response # Handle specific Redshift exceptions except redshift.exceptions.ClusterAlreadyExistsFault: print(f"Cluster with identifier {cluster_identifier} already exists.") except redshift.exceptions.ClusterSnapshotNotFoundFault: print(f"Snapshot {snapshot_identifier} not found.") except redshift.exceptions.InvalidClusterSnapshotStateFault: print(f"Snapshot {snapshot_identifier} is not in the correct state for restoration.") except redshift.exceptions.InvalidRestoreFault: print(f"Invalid restore parameters for snapshot {snapshot_identifier}.") except redshift.exceptions.UnauthorizedOperation: print(f"Unauthorized to restore cluster from snapshot {snapshot_identifier}. Check your AWS IAM permissions.") # Catch parameter validation errors except botocore.exceptions.ParamValidationError as e: print(f"Parameter validation error: {e}") # Handle other general exceptions except Exception as e: print(f"Error restoring Redshift cluster from snapshot: {e}") # Return None if any exception occurs return None # Example usage: #snapshot_id = "redshift-cluster-1-snapshot123" #new_cluster_id = "redshift-cluster-restored" #node_type = "dc2.large" #num_nodes = 1 #aws_region = "us-west-2" response = restore_redshift_from_snapshot(snapshot_id, new_cluster_id, node_type, num_nodes, aws_region) if response: print("Restore operation initiated successfully.") else: print("Failed to initiate restore operation.")

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")