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Restore an AWS Redshift Cluster from a Snapshot

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Amazon Redshift allows users to create snapshots, which are point-in-time backups of their data warehouse clusters. These snapshots can be vital for disaster recovery scenarios, testing, or data replication. When a user needs to restore a cluster from a snapshot, AWS Redshift creates a new cluster and populates it with the data from the snapshot. The new cluster will inherit the configuration of the original, but users have the option to adjust certain parameters, such as the number of nodes or the node type, during the restoration process. Importantly, restoring from a snapshot does not affect or delete the original snapshot; it remains intact and can be used for future restorations or other purposes. Note: In the AWS ecosystem, this restoration process can generate costs, depending on factors like data transfer, storage, and the computational resources used.

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.")
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