Example - Amazon ParallelCluster
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Example

Create a cluster

When you run the following example script, with the given inputs stored in your environment, you create a cluster. The cluster configuration is created as a Python data type based on the cluster configuration documentation.

import os import pprint import pcluster.lib as pc pp = pprint.PrettyPrinter() HEAD_NODE_SUBNET = os.environ["HEAD_NODE_SUBNET"] COMPUTE_NODE_SUBNET = os.environ["HEAD_NODE_SUBNET"] KEY_NAME = os.environ["KEY_NAME"] CONFIG = {'Image': {'Os': 'alinux2'}, 'HeadNode': {'InstanceType': 't2.large', 'Networking': {'SubnetId': HEAD_NODE_SUBNET}, 'Ssh': {'KeyName': KEY_NAME}}, 'Scheduling': {'Scheduler': 'slurm', 'SlurmQueues': [{'Name': 'queue0', 'ComputeResources': [{'Name': 'queue0-i0', 'InstanceType': 't2.micro', 'MinCount': 0, 'MaxCount': 10}], 'Networking': {'SubnetIds': [COMPUTE_NODE_SUBNET]}}]}} pp.pprint(pc.create_cluster(cluster_name="mycluster", cluster_configuration=CONFIG))

Output:

{'cluster': {'cloudformationStackArn': 'arn:aws:cloudformation:us-east-2:123456789012:stack/mycluster/00000000-aaaa-1111-999-000000000000', 'cloudformationStackStatus': 'CREATE_IN_PROGRESS', 'clusterName': 'mycluster', 'clusterStatus': 'CREATE_IN_PROGRESS', 'region': 'us-east-2', 'scheduler': {'type': 'slurm'}, 'version': '3.7.0'}}